> altCountProbabilities = TheoreticalSensitivity.hetAltDepthDistribution(n + 1);\\n for (int altCount = n; altCount > minAltCount; altCount--) {\\n expectedResult += altCountProbabilities.get(n).get(altCount);\\n }\\n\\n //deterministic weights that always yield q are 0.0 for 0 through q - 1 and 1.0 for q\\n final double[] qualityDistribution = new double[q + 1];\\n Arrays.fill(qualityDistribution, 0L);\\n qualityDistribution[qualityDistribution.length - 1] = 1L;\\n final double[] depthDistribution = new double[n + 1];\\n Arrays.fill(depthDistribution, 0L);\\n depthDistribution[depthDistribution.length - 1] = 1L;\\n\\n final double result = TheoreticalSensitivity.hetSNPSensitivity(depthDistribution, qualityDistribution, sampleSize, logOddsThreshold);\\n Assert.assertEquals(result, expectedResult, tolerance);\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"49d78ad26be39ba705724ea6ab2aa40a\",\n \"score\": \"0.582126\",\n \"text\": \"@Test(timeout = 4000)\\n public void test017() throws Throwable {\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n resultMatrixCSV0.setColNameWidth(2);\\n resultMatrixCSV0.toStringMatrix();\\n resultMatrixGnuPlot0.getSignificance(2594, 0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f7acfd9bb62a0378e8a1b66173a2d0dc\",\n \"score\": \"0.5820391\",\n \"text\": \"@Test\\n public void testFrequentTraceSequenceDetector() {\\n testFrequentTraceSequenceDetector(RiscvLivermoreN100im.cholesky.toTraceStream());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2892346ba6ffadb8080b813e6c6816dd\",\n \"score\": \"0.58168054\",\n \"text\": \"@Test(timeout = 4000)\\n public void test21() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"\\\");\\n discretize0.getOptions();\\n double[][] doubleArray0 = new double[6][2];\\n discretize0.m_CutPoints = doubleArray0;\\n int int0 = 2;\\n String[] stringArray0 = new String[7];\\n stringArray0[0] = \\\"\\\";\\n stringArray0[3] = \\\"h0a.w;rJn4ik\\\";\\n stringArray0[4] = \\\"\\\";\\n discretize0.setBins((-2084322361));\\n Filter.runFilter(discretize0, stringArray0);\\n discretize0.getBinRangesString(2);\\n discretize0.setAttributeIndices(\\\"A3U>S^ rv&kE0~\\\");\\n discretize0.setFindNumBins(false);\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString((-2084322361));\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // -2084322361\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46dc3f22d3510bf38d2202506d0fe663\",\n \"score\": \"0.5813326\",\n \"text\": \"@Test(timeout = 4000)\\n public void test24() throws Throwable {\\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\\n InputMappedClassifier inputMappedClassifier0 = new InputMappedClassifier();\\n Capabilities capabilities0 = inputMappedClassifier0.getCapabilities();\\n naiveBayesMultinomialText0.m_useStopList = true;\\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n EvoSuiteFile evoSuiteFile0 = new EvoSuiteFile(\\\"Capabilities.props\\\");\\n FileSystemHandling.appendStringToFile(evoSuiteFile0, \\\"Set splitting criterion based on the residuals of LogitBoost. There are two possible splitting criteria for LMT: the default is to use the C4.5 splitting criterion that uses information gain on the class variable. The other splitting criterion tries to improve the purity in the residuals produces when fitting the logistic regression functions. The choice of the splitting criterion does not usually affect classification accuracy much, but can produce different trees.\\\");\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n testInstances0.getRelationalClassFormat();\\n naiveBayesMultinomialText0.buildClassifier(instances0);\\n String string0 = naiveBayesMultinomialText0.toString();\\n assertEquals(1.0, naiveBayesMultinomialText0.getNorm(), 0.01);\\n assertEquals(\\\"The independent probability of a class\\\\n--------------------------------------\\\\nclass1\\\\t9.0\\\\nclass2\\\\t4.0\\\\nclass3\\\\t7.0\\\\nclass4\\\\t4.0\\\\n\\\\nThe probability of a word given the class\\\\n-----------------------------------------\\\\n\\\\tclass1\\\\tclass2\\\\tclass3\\\\tclass4\\\\t\\\\nquick\\\\t7.38905609893065\\\\t2.718281828459045\\\\t7.38905609893065\\\\t7.38905609893065\\\\t\\\\nlazy\\\\t7.38905609893065\\\\t2.718281828459045\\\\t7.38905609893065\\\\t2.718281828459045\\\\t\\\\njumps\\\\t20.085536923187668\\\\t7.38905609893065\\\\t2.718281828459045\\\\t2.718281828459045\\\\t\\\\nbrown\\\\t7.38905609893065\\\\t7.38905609893065\\\\t2.718281828459045\\\\t2.718281828459045\\\\t\\\\ndog\\\\t7.38905609893065\\\\t2.718281828459045\\\\t7.38905609893065\\\\t2.718281828459045\\\\t\\\\nfox\\\\t2.718281828459045\\\\t2.718281828459045\\\\t7.38905609893065\\\\t7.38905609893065\\\\t\\\\n\\\", string0);\\n assertEquals(2.0, naiveBayesMultinomialText0.getLNorm(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4b1432c91e02ed964a957a27696cdd79\",\n \"score\": \"0.5810826\",\n \"text\": \"@Test(timeout = 4000)\\n public void test036() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.areaUnderPRC(1);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"09c8c5813142d53c145bed4144fd4ef4\",\n \"score\": \"0.58081996\",\n \"text\": \"public void testTwo() {\\n// try {\\n// int matchesMustAlsoBeFoundInThisCase = 0;\\n// \\n// // Filter out the time stamp to get the correct case name.\\n// Set<String> caseNames = this.utils.getCaseMap().keySet();\\n// for (String caseName : caseNames) {\\n// if (caseName.substring(0, caseName.length() - 20).equalsIgnoreCase(CASE2)) {\\n// // Case match found. Get the number of matches.\\n// matchesMustAlsoBeFoundInThisCase = this.utils.getCaseMap().get(caseName);\\n// }\\n// }\\n// CorrelationAttributeInstance.Type fileType = CorrelationAttributeInstance.getDefaultCorrelationTypes().get(0);\\n// AbstractCommonAttributeSearcher builder = new SingleInterCaseCommonAttributeSearcher(matchesMustAlsoBeFoundInThisCase, false, false, fileType, 0);\\n//\\n// CommonAttributeCountSearchResults metadata = builder.findMatchesByCount();\\n//\\n// assertTrue(\\\"Results should not be empty\\\", metadata.size() != 0);\\n//\\n// //case 1 data set 1\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_0_DAT, CASE1_DATASET_1, CASE1\\\", 0, getInstanceCount(metadata, HASH_0_DAT, CASE1_DATASET_1, CASE1));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_PDF, CASE1_DATASET_1, CASE1\\\", 1, getInstanceCount(metadata, HASH_A_PDF, CASE1_DATASET_1, CASE1));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_JPG, CASE1_DATASET_1, CASE1\\\", 1, getInstanceCount(metadata, HASH_A_JPG, CASE1_DATASET_1, CASE1));\\n//\\n// //case 1 data set 2\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_0_DAT, CASE1_DATASET_2, CASE1\\\", 0, getInstanceCount(metadata, HASH_0_DAT, CASE1_DATASET_2, CASE1));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_PDF, CASE1_DATASET_2, CASE1\\\", 1, getInstanceCount(metadata, HASH_A_PDF, CASE1_DATASET_2, CASE1));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_JPG, CASE1_DATASET_2, CASE1\\\", 1, getInstanceCount(metadata, HASH_A_JPG, CASE1_DATASET_2, CASE1));\\n//\\n// //case 2 data set 1\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_B_PDF, CASE2_DATASET_1, CASE2\\\", 0, getInstanceCount(metadata, HASH_B_PDF, CASE2_DATASET_1, CASE2));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_B_JPG, CASE2_DATASET_1, CASE2\\\", 0, getInstanceCount(metadata, HASH_B_JPG, CASE2_DATASET_1, CASE2));\\n//\\n// //case 2 data set 2\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_PDF, CASE2_DATASET_2, CASE2\\\", 1, getInstanceCount(metadata, HASH_A_PDF, CASE2_DATASET_2, CASE2));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_JPG, CASE2_DATASET_2, CASE2\\\", 1, getInstanceCount(metadata, HASH_A_JPG, CASE2_DATASET_2, CASE2));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_D_DOC, CASE2_DATASET_2, CASE2\\\", 1, getInstanceCount(metadata, HASH_D_DOC, CASE2_DATASET_2, CASE2));\\n//\\n// //case 3 data set 1\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_JPG, CASE3_DATASET_1, CASE3\\\", 1, getInstanceCount(metadata, HASH_A_JPG, CASE3_DATASET_1, CASE3));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_PDF, CASE3_DATASET_1, CASE3\\\", 1, getInstanceCount(metadata, HASH_A_PDF, CASE3_DATASET_1, CASE3));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_C_JPG, CASE3_DATASET_1, CASE3\\\", 0, getInstanceCount(metadata, HASH_C_JPG, CASE3_DATASET_1, CASE3));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_C_PDF, CASE3_DATASET_1, CASE3\\\", 0, getInstanceCount(metadata, HASH_C_PDF, CASE3_DATASET_1, CASE3));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_D_JPG, CASE3_DATASET_1, CASE3\\\", 0, getInstanceCount(metadata, HASH_D_JPG, CASE3_DATASET_1, CASE3));\\n//\\n// //case 3 data set 2\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_C_JPG, CASE3_DATASET_2, CASE3\\\", 0, getInstanceCount(metadata, HASH_C_JPG, CASE3_DATASET_2, CASE3));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_C_PDF, CASE3_DATASET_2, CASE3\\\", 0, getInstanceCount(metadata, HASH_C_PDF, CASE3_DATASET_2, CASE3));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_D_DOC, CASE3_DATASET_2, CASE3\\\", 1, getInstanceCount(metadata, HASH_D_DOC, CASE3_DATASET_2, CASE3));\\n//\\n// } catch (TskCoreException | NoCurrentCaseException | SQLException | EamDbException ex) {\\n// Exceptions.printStackTrace(ex);\\n// Assert.fail(ex.getMessage());\\n// }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f870d363d61f924c439f97fdab8c1853\",\n \"score\": \"0.57984114\",\n \"text\": \"@Test(timeout = 4000)\\n public void test164() throws Throwable {\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n int[] intArray0 = new int[8];\\n intArray0[1] = 1;\\n intArray0[2] = 1;\\n int int0 = 0;\\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixCSV0);\\n resultMatrixPlainText0.isMean(49);\\n resultMatrixPlainText0.getDefaultEnumerateRowNames();\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(2568, 2);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b8f9f421a70442ebd08d400d42a8e5d5\",\n \"score\": \"0.57973075\",\n \"text\": \"@Test(timeout = 4000)\\n public void test107() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.meanAbsoluteError();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"365a331ad71bdde30d73a104bca727ad\",\n \"score\": \"0.5790844\",\n \"text\": \"@Test\\n public void test() {\\n generateTestData(108);\\n// testDistributionInDirections();\\n// testDistributionInDirectionAndUniversities();\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0991a6279b85bfa4f6664c3c540c14d2\",\n \"score\": \"0.5780337\",\n \"text\": \"public void testThree() {\\n// try {\\n//\\n// CorrelationAttributeInstance.Type fileType = CorrelationAttributeInstance.getDefaultCorrelationTypes().get(0);\\n// AbstractCommonAttributeSearcher builder = new AllInterCaseCommonAttributeSearcher(false, false, fileType, 50);\\n//\\n// CommonAttributeCountSearchResults metadata = builder.findMatchesByCount();\\n// metadata.filterMetadata();\\n// assertTrue(\\\"Results should not be empty\\\", metadata.size() != 0);\\n//\\n// //case 1 data set 1\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_0_DAT, CASE1_DATASET_1, CASE1\\\", 0, getInstanceCount(metadata, HASH_0_DAT, CASE1_DATASET_1, CASE1));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_PDF, CASE1_DATASET_1, CASE1\\\", 0, getInstanceCount(metadata, HASH_A_PDF, CASE1_DATASET_1, CASE1));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_JPG, CASE1_DATASET_1, CASE1\\\", 0, getInstanceCount(metadata, HASH_A_JPG, CASE1_DATASET_1, CASE1));\\n//\\n// //case 1 data set 2\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_0_DAT, CASE1_DATASET_2, CASE1\\\", 0, getInstanceCount(metadata, HASH_0_DAT, CASE1_DATASET_2, CASE1));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_PDF, CASE1_DATASET_2, CASE1\\\", 0, getInstanceCount(metadata, HASH_A_PDF, CASE1_DATASET_2, CASE1));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_JPG, CASE1_DATASET_2, CASE1\\\", 0, getInstanceCount(metadata, HASH_A_JPG, CASE1_DATASET_2, CASE1));\\n//\\n// //case 2 data set 1\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_B_PDF, CASE2_DATASET_1, CASE2\\\", 0, getInstanceCount(metadata, HASH_B_PDF, CASE2_DATASET_1, CASE2));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_B_JPG, CASE2_DATASET_1, CASE2\\\", 0, getInstanceCount(metadata, HASH_B_JPG, CASE2_DATASET_1, CASE2));\\n//\\n// //case 2 data set 2\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_PDF, CASE2_DATASET_2, CASE2\\\", 0, getInstanceCount(metadata, HASH_A_PDF, CASE2_DATASET_2, CASE2));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_JPG, CASE2_DATASET_2, CASE2\\\", 0, getInstanceCount(metadata, HASH_A_JPG, CASE2_DATASET_2, CASE2));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_D_DOC, CASE2_DATASET_2, CASE2\\\", 1, getInstanceCount(metadata, HASH_D_DOC, CASE2_DATASET_2, CASE2));\\n//\\n// //case 3 data set 1\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_JPG, CASE3_DATASET_1, CASE3\\\", 0, getInstanceCount(metadata, HASH_A_JPG, CASE3_DATASET_1, CASE3));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_A_PDF, CASE3_DATASET_1, CASE3\\\", 0, getInstanceCount(metadata, HASH_A_PDF, CASE3_DATASET_1, CASE3));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_C_JPG, CASE3_DATASET_1, CASE3\\\", 0, getInstanceCount(metadata, HASH_C_JPG, CASE3_DATASET_1, CASE3));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_C_PDF, CASE3_DATASET_1, CASE3\\\", 0, getInstanceCount(metadata, HASH_C_PDF, CASE3_DATASET_1, CASE3));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_D_JPG, CASE3_DATASET_1, CASE3\\\", 0, getInstanceCount(metadata, HASH_D_JPG, CASE3_DATASET_1, CASE3));\\n//\\n// //case 3 data set 2\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_C_JPG, CASE3_DATASET_2, CASE3\\\", 0, getInstanceCount(metadata, HASH_C_JPG, CASE3_DATASET_2, CASE3));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_C_PDF, CASE3_DATASET_2, CASE3\\\", 0, getInstanceCount(metadata, HASH_C_PDF, CASE3_DATASET_2, CASE3));\\n// assertEquals(\\\"Verify Existence or Count failed for HASH_D_DOC, CASE3_DATASET_2, CASE3\\\", 1, getInstanceCount(metadata, HASH_D_DOC, CASE3_DATASET_2, CASE3));\\n//\\n// } catch (TskCoreException | NoCurrentCaseException | SQLException | EamDbException ex) {\\n// Exceptions.printStackTrace(ex);\\n// Assert.fail(ex.getMessage());\\n// }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f75703181d73644cb7c3d5aa323e5d4d\",\n \"score\": \"0.57688826\",\n \"text\": \"@Test(timeout = 4000)\\n public void test04() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getBinRangesString((-1879048189));\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5599c6f92758fbe19bbfba70c8d1062f\",\n \"score\": \"0.5760647\",\n \"text\": \"@Test(timeout = 4000)\\n public void test072() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\" \\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[2];\\n LinearNNSearch linearNNSearch0 = new LinearNNSearch(instances0);\\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(0.0, doubleArray0);\\n Instance instance0 = linearNNSearch0.nearestNeighbour(binarySparseInstance0);\\n evaluation0.updateStatsForPredictor(1.0E-5, instance0);\\n double double0 = evaluation0.pctUnclassified();\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e1c0ba09340d566a89c34536b80f039\",\n \"score\": \"0.575807\",\n \"text\": \"@Test(timeout = 4000)\\n public void test158() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(1, 2);\\n int[] intArray0 = new int[3];\\n intArray0[2] = 182;\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n String string0 = resultMatrixSignificance0.toString();\\n assertEquals(\\\"Dataset (1)\\\\n-----------\\\\nrow0 \\\\n\\\", string0);\\n \\n resultMatrixCSV0.enumerateColNamesTipText();\\n resultMatrixCSV0.setStdDev(0, 182, 182);\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"31fe501c8366b52c0375d1858d0a7985\",\n \"score\": \"0.57501674\",\n \"text\": \"@Test(timeout = 4000)\\n public void test167() throws Throwable {\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixHTML0);\\n resultMatrixHTML0.getDisplayName();\\n resultMatrixSignificance0.getDisplayRow(0);\\n resultMatrixSignificance0.setColNameWidth(2);\\n resultMatrixSignificance0.getStdDevWidth();\\n resultMatrixSignificance0.toStringRanking();\\n assertEquals(2, resultMatrixSignificance0.getColNameWidth());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3317dce3c4bb609939c861f391d81fd7\",\n \"score\": \"0.57480454\",\n \"text\": \"@Override\\n\\tpublic int totalTest() {\\n\\t\\treturn 0;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"182b2b774acd36ddbac6c6fa352a55b4\",\n \"score\": \"0.5746847\",\n \"text\": \"@Test\\n @DisplayName(\\\"reductionTest - simple test\\\")\\n public void reductionTest0() {\\n GameBoardInterface gameBoard = new GameBoard();\\n gameBoard = new ReductionGameBoard(gameBoard, Resource.SHIELD);\\n ReductionGameBoard reductionGameBoard = (ReductionGameBoard) gameBoard;\\n ArrayList<Resource> cost = new ArrayList<>();\\n HashMap<Resource,Integer> costMap = new HashMap<>();\\n HashMap<Resource,Integer> reducedMap = new HashMap<>();\\n\\n costMap.put(Resource.COIN,1);\\n costMap.put(Resource.ROCK,1);\\n costMap.put(Resource.SHIELD,1);\\n costMap.put(Resource.SERVANT,1);\\n\\n reducedMap.put(Resource.COIN,0);\\n reducedMap.put(Resource.ROCK,0);\\n reducedMap.put(Resource.SHIELD,0);\\n reducedMap.put(Resource.SERVANT,0);\\n\\n for (Resource key : costMap.keySet()){\\n for(int i = 0; i< costMap.get(key); i++){\\n cost.add(key);\\n }\\n }\\n\\n cost = reductionGameBoard.costReduction(cost);\\n\\n for (Resource r : cost){\\n reducedMap.put(r,reducedMap.remove(r)+1);\\n }\\n\\n assertEquals(costMap.get(Resource.COIN),reducedMap.get(Resource.COIN));\\n assertEquals(costMap.get(Resource.ROCK),reducedMap.get(Resource.ROCK));\\n assertEquals(costMap.get(Resource.SHIELD)-1,reducedMap.get(Resource.SHIELD));\\n assertEquals(costMap.get(Resource.SERVANT),reducedMap.get(Resource.SERVANT));\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e9532065f077592d6cc20f6d51e6a552\",\n \"score\": \"0.5745568\",\n \"text\": \"@Test(timeout = 4000)\\n public void test070() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.addNumericTrainClass(0.0, (-1823.508364429));\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db993196b5bf17f50e8206d612de3b1f\",\n \"score\": \"0.5741424\",\n \"text\": \"@Test(timeout = 4000)\\n public void test05() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"\\\");\\n double[][] doubleArray0 = new double[6][2];\\n discretize0.m_CutPoints = doubleArray0;\\n String[] stringArray0 = new String[7];\\n String[] stringArray1 = new String[3];\\n stringArray1[0] = \\\"\\\";\\n stringArray1[1] = \\\"\\\";\\n stringArray1[2] = \\\"\\\";\\n discretize0.setOptions(stringArray1);\\n stringArray0[0] = \\\"\\\";\\n stringArray0[3] = \\\"h0a.w;rJn4ik\\\";\\n stringArray0[4] = \\\"\\\";\\n discretize0.setBins((-2084322361));\\n Filter.runFilter(discretize0, stringArray0);\\n discretize0.getBinRangesString(2);\\n discretize0.setAttributeIndices(\\\"A3U>S^ rv&kE0~\\\");\\n discretize0.setFindNumBins(false);\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString((-2084322361));\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // -2084322361\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c95b8cba9141f5085b2f9be2895d131\",\n \"score\": \"0.57332104\",\n \"text\": \"@Test(timeout = 4000)\\n public void test068() throws Throwable {\\n int[][] intArray0 = new int[7][7];\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixHTML0);\\n resultMatrixCSV0.setStdDevPrec(0);\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n resultMatrixSignificance0.setColNameWidth(0);\\n resultMatrixSignificance0.setSummary(intArray0, intArray0);\\n resultMatrixSignificance0.setSignificanceWidth(2);\\n resultMatrixSignificance0.setOptions((String[]) null);\\n resultMatrixSignificance0.toStringRanking();\\n resultMatrixCSV0.getPrintColNames();\\n assertEquals(0, resultMatrixCSV0.getStdDevPrec());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d2223fbbbcb8807126803ea64d9dad75\",\n \"score\": \"0.5731838\",\n \"text\": \"@Test\\n public void testHetSensDistributions() throws Exception {\\n final double tolerance = 0.02;\\n final double expectedResult = .9617;\\n final int maxDepth = 500;\\n final double[] depthDistribution = new double[maxDepth + 1];\\n final double[] qualityDistribution = new double[50];\\n\\n final Scanner scanDepth = new Scanner(DEPTH);\\n for (int i = 0; scanDepth.hasNextDouble(); i++) {\\n depthDistribution[i] = scanDepth.nextDouble();\\n }\\n final Scanner scanBaseQ = new Scanner(BASEQ);\\n for (int j = 0; scanBaseQ.hasNextDouble(); j++) {\\n qualityDistribution[j] = scanBaseQ.nextDouble();\\n }\\n\\n final int sampleSize = 1_000;\\n final double logOddsThreshold = 3.0;\\n final double result = TheoreticalSensitivity.hetSNPSensitivity(depthDistribution, qualityDistribution, sampleSize, logOddsThreshold);\\n Assert.assertEquals(result, expectedResult, tolerance);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e5387f5df774d8387ba0c04558006d19\",\n \"score\": \"0.5724697\",\n \"text\": \"@Test(timeout = 4000)\\n public void test27() throws Throwable {\\n EvoSuiteFile evoSuiteFile0 = new EvoSuiteFile(\\\" / \\\");\\n byte[] byteArray0 = new byte[5];\\n byteArray0[0] = (byte)0;\\n byteArray0[1] = (byte)106;\\n byteArray0[2] = (byte)97;\\n byteArray0[3] = (byte) (-67);\\n byteArray0[4] = (byte)13;\\n FileSystemHandling.appendDataToFile(evoSuiteFile0, byteArray0);\\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\\n TestInstances testInstances0 = new TestInstances();\\n MockFile mockFile0 = new MockFile(\\\" \\\", \\\" \\\");\\n naiveBayesMultinomialText0.setStopwords(mockFile0);\\n double[] doubleArray0 = new double[0];\\n DenseInstance denseInstance0 = new DenseInstance((byte)0);\\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(denseInstance0);\\n SparseInstance sparseInstance0 = new SparseInstance((Instance) binarySparseInstance0);\\n BinarySparseInstance binarySparseInstance1 = new BinarySparseInstance((Instance) sparseInstance0);\\n binarySparseInstance0.toStringMaxDecimalDigits((-1247));\\n try { \\n naiveBayesMultinomialText0.distributionForInstance(sparseInstance0);\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.classifiers.bayes.NaiveBayesMultinomialText\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"45153a0d280fe22b1f3fd88b60c8cb2e\",\n \"score\": \"0.5722494\",\n \"text\": \"@Test\\n @DisplayName(\\\"reductionTest - 0 resources\\\")\\n public void reductionTest1() {\\n GameBoardInterface gameBoard = new GameBoard();\\n gameBoard = new ReductionGameBoard(gameBoard,Resource.SHIELD);\\n ReductionGameBoard reductionGameBoard = (ReductionGameBoard) gameBoard;\\n ArrayList<Resource> cost = new ArrayList<>();\\n HashMap<Resource,Integer> costMap = new HashMap<>();\\n HashMap<Resource,Integer> reducedMap = new HashMap<>();\\n\\n costMap.put(Resource.COIN,0);\\n costMap.put(Resource.ROCK,0);\\n costMap.put(Resource.SHIELD,0);\\n costMap.put(Resource.SERVANT,0);\\n\\n reducedMap.put(Resource.COIN,0);\\n reducedMap.put(Resource.ROCK,0);\\n reducedMap.put(Resource.SHIELD,0);\\n reducedMap.put(Resource.SERVANT,0);\\n\\n for (Resource key : costMap.keySet()){\\n for(int i = 0; i< costMap.get(key); i++){\\n cost.add(key);\\n }\\n }\\n\\n cost = reductionGameBoard.costReduction(cost);\\n\\n for (Resource r : cost){\\n reducedMap.put(r,reducedMap.remove(r)+1);\\n }\\n\\n assertEquals(costMap.get(Resource.COIN),reducedMap.get(Resource.COIN));\\n assertEquals(costMap.get(Resource.ROCK),reducedMap.get(Resource.ROCK));\\n assertEquals(costMap.get(Resource.SHIELD),reducedMap.get(Resource.SHIELD));\\n assertEquals(costMap.get(Resource.SERVANT),reducedMap.get(Resource.SERVANT));\\n\\n assertEquals(0,reducedMap.get(Resource.COIN));\\n assertEquals(0,reducedMap.get(Resource.ROCK));\\n assertEquals(0,reducedMap.get(Resource.SHIELD));\\n assertEquals(0,reducedMap.get(Resource.SERVANT));\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0d325cbfe609bdbf475f37958b5f45f4\",\n \"score\": \"0.5721094\",\n \"text\": \"public final void testGetCoverageGapFrequencyDiscount() {\\n // If there are as many ranges as AUs (>1), there should be a large discount\\n assertEquals(0.8f, TdbAuOrderScorer.getCoverageGapFrequencyDiscount(5f, 5f));\\n assertEquals(0.5f, TdbAuOrderScorer.getCoverageGapFrequencyDiscount(2f, 2f));\\n assertEquals(0.98f, TdbAuOrderScorer.getCoverageGapFrequencyDiscount(50f, 50f));\\n // All such results should be >= 0.5\\n for (float i : new float[]{16, 50, 500, 1000000}) {\\n assertTrue(TdbAuOrderScorer.getCoverageGapFrequencyDiscount(i, i) >= 0.5);\\n }\\n \\n // If there are no AUs, there should be no discount\\n assertEquals(0f, TdbAuOrderScorer.getCoverageGapFrequencyDiscount(0f, 0f));\\n assertEquals(0f, TdbAuOrderScorer.getCoverageGapFrequencyDiscount(0f, 1f));\\n \\n // If there is a single range, there should be no discount\\n assertEquals(0f, TdbAuOrderScorer.getCoverageGapFrequencyDiscount(5f, 1f));\\n assertEquals(0f, TdbAuOrderScorer.getCoverageGapFrequencyDiscount(1f, 1f));\\n assertEquals(0f, TdbAuOrderScorer.getCoverageGapFrequencyDiscount(500f, 1f));\\n \\n // If there are half as many ranges as AUs, the discount should be < 0.5 \\n assertEquals(0.25f, TdbAuOrderScorer.getCoverageGapFrequencyDiscount(4f, 2f));\\n assertEquals(0.375f, TdbAuOrderScorer.getCoverageGapFrequencyDiscount(8f, 4f));\\n for (int i : new int[]{16, 50, 500, 1000000}) {\\n assertTrue(TdbAuOrderScorer.getCoverageGapFrequencyDiscount((float)i,\\n (float)(i/2)) < 0.5);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f2e4e1805a13fb9b19ffb1505cffbae\",\n \"score\": \"0.57204235\",\n \"text\": \"@Test\\n\\tpublic void test8() \\n\\t{\\n\\t\\tint[] dice = {3,3,3,1,1,1,-1,-1};\\n\\t\\tassertEquals(300, P1.C_Score(dice, null, 5, 0));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f679c421c797faefd1823623383bf45\",\n \"score\": \"0.5711582\",\n \"text\": \"@Test(timeout = 4000)\\n public void test069() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML();\\n resultMatrixHTML0.setCountWidth(367);\\n assertEquals(367, resultMatrixHTML0.getCountWidth());\\n \\n ResultMatrixHTML resultMatrixHTML2 = new ResultMatrixHTML(2, 0);\\n ResultMatrixHTML resultMatrixHTML3 = new ResultMatrixHTML();\\n resultMatrixHTML3.toStringKey();\\n resultMatrixHTML3.setCount(0, 1498.2644628);\\n resultMatrixHTML1.toStringKey();\\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"36a707bf545a6fc7694fd8a3340e2c6c\",\n \"score\": \"0.57112896\",\n \"text\": \"@Test(timeout = 4000)\\n public void test136() throws Throwable {\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n assertNotNull(resultMatrixCSV0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n \\n int[][] intArray0 = new int[6][4];\\n int[] intArray1 = new int[0];\\n intArray0[0] = intArray1;\\n String string0 = resultMatrixCSV0.getColName(16);\\n assertNull(string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n \\n int[] intArray2 = new int[8];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = 1;\\n intArray2[1] = 1;\\n intArray2[2] = 1;\\n intArray2[3] = 0;\\n intArray2[4] = 0;\\n intArray2[6] = 0;\\n intArray2[7] = 0;\\n intArray0[1] = intArray2;\\n int[] intArray3 = new int[3];\\n assertFalse(intArray3.equals((Object)intArray1));\\n assertFalse(intArray3.equals((Object)intArray2));\\n \\n intArray3[0] = 0;\\n intArray3[1] = 0;\\n intArray3[2] = 2;\\n intArray0[2] = intArray3;\\n resultMatrixCSV0.setColOrder(intArray1);\\n assertArrayEquals(new int[] {}, intArray1);\\n assertFalse(intArray1.equals((Object)intArray3));\\n assertFalse(intArray1.equals((Object)intArray2));\\n assertNotSame(intArray1, intArray3);\\n assertNotSame(intArray1, intArray2);\\n assertEquals(0, intArray1.length);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n \\n resultMatrixGnuPlot0.setRowNameWidth(1346);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(1346, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n \\n int int0 = resultMatrixGnuPlot0.getDisplayRow(901);\\n assertEquals((-1), int0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(1346, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n \\n ResultMatrixHTML resultMatrixHTML0 = null;\\n try {\\n resultMatrixHTML0 = new ResultMatrixHTML(1, (-1));\\n fail(\\\"Expecting exception: NegativeArraySizeException\\\");\\n \\n } catch(NegativeArraySizeException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.experiment.ResultMatrix\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"877779327ea19cc2c370d9267ca39fc9\",\n \"score\": \"0.57092035\",\n \"text\": \"@Test\\n public void countForDBPathwayFIsAndFilePredFIs() throws Exception {\\n// List<ReactomeAnalyzer> analyzers = ReactomeAnalyzer.getPathwayDBAnalyzers();\\n// ProteinIdFilters filters = new ProteinIdFilters();\\n// Set<String> pathwayFIs = new HashSet<String>();\\n// for (ReactomeAnalyzer analyzer : analyzers) {\\n// Set<String> fis = analyzer.extractInteractionSet();\\n// Set<String> filtered = filters.cleanUpVsUniProt(fis);\\n// GKInstance dataSource = analyzer.getDataSource();\\n// String source = null;\\n// if (dataSource == null)\\n// source = \\\"Reactome\\\";\\n// else\\n// source = dataSource.getDisplayName();\\n// System.out.println(\\\"FIs from \\\" + source + \\\": \\\" + filtered.size());\\n// pathwayFIs.addAll(filtered);\\n// }\\n// fu.saveInteractions(pathwayFIs, FIConfiguration.getConfiguration().get(\\\"RESULT_DIR + \\\"PathwayFIs.txt\\\");\\n Set<String> pathwayFIs = fu.loadInteractions(FIConfiguration.getConfiguration().get(\\\"RESULT_DIR\\\") + \\\"PathwayFIs.txt\\\");\\n Set<String> pathwayIds = InteractionUtilities.grepIDsFromInteractions(pathwayFIs);\\n System.out.printf(\\\"FIs from pathways: %d (%d)%n\\\",\\n pathwayFIs.size(),\\n pathwayIds.size());\\n countVsSwissProt(pathwayIds);\\n //Set<String> predictedFIs = fu.loadInteractions(FIConfiguration.getConfiguration().get(\\\"RESULT_DIR + \\\"PredictedFIs.txt\\\");\\n Set<String> predictedFIs = fu.loadInteractions(FIConfiguration.getConfiguration().get(\\\"RESULT_DIR\\\") + \\\"PredictedFIsHumanPPIsGeneExp.txt\\\");\\n //Set<String> predictedFIs = fu.loadInteractions(FIConfiguration.getConfiguration().get(\\\"RESULT_DIR + \\\"PredictedFIsCutoff09.txt\\\");\\n Set<String> predictedIDs = InteractionUtilities.grepIDsFromInteractions(predictedFIs);\\n System.out.printf(\\\"FIs from prediction: %d (%d)%n\\\",\\n predictedFIs.size(),\\n predictedIDs.size());\\n countVsSwissProt(predictedIDs);\\n // Merge them\\n pathwayIds.addAll(predictedIDs);\\n pathwayFIs.addAll(predictedFIs);\\n System.out.printf(\\\"FIs merged: %d (%d)%n\\\",\\n pathwayFIs.size(),\\n pathwayIds.size());\\n countVsSwissProt(pathwayIds);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"050bde16730e58293ba2ac55374045cb\",\n \"score\": \"0.5707384\",\n \"text\": \"void testNormalityOfLowPixels(){\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"37023366f320018625a59b97038f662d\",\n \"score\": \"0.5701643\",\n \"text\": \"@Test(timeout = 4000)\\n public void test166() throws Throwable {\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n resultMatrixHTML0.LOSS_STRING = \\\"79py$=Zkt@_^>-}\\\";\\n ResultMatrixGnuPlot.main((String[]) null);\\n resultMatrixHTML0.globalInfo();\\n int int0 = resultMatrixHTML0.getMeanWidth();\\n assertEquals(0, int0);\\n \\n resultMatrixHTML0.setStdDev((-2501), (-2501), 0.0);\\n resultMatrixHTML0.getCountWidth();\\n resultMatrixHTML0.getAverage(2);\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3be8334c911b85e167e99017d6e2162f\",\n \"score\": \"0.5699772\",\n \"text\": \"TestCoverage createTestCoverage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f14fc8bf837a671ae6089461e6cc1f7d\",\n \"score\": \"0.5698668\",\n \"text\": \"@Test\\n public void testSuccessfulCases() {\\n //test cac tnh huong tham so dua vcho ham van test 1 cach tu te\\n //Assert.assertEquals(30, 40);\\n Assert.assertEquals(30, 30);\\n Assert.assertEquals(1, MathUtil.computerFactorial(0));\\n Assert.assertEquals(1, MathUtil.computerFactorial(1));\\n Assert.assertEquals(2, MathUtil.computerFactorial(2));\\n Assert.assertEquals(6, MathUtil.computerFactorial(3));\\n Assert.assertEquals(24, MathUtil.computerFactorial(4));\\n Assert.assertEquals(120, MathUtil.computerFactorial(5));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"335962f52b04d14add827ef0e26549f0\",\n \"score\": \"0.56957877\",\n \"text\": \"@Test(timeout = 4000)\\n public void test25() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String[] stringArray0 = new String[8];\\n stringArray0[0] = \\\"`v\\\";\\n stringArray0[1] = \\\"Ajz^Ul$T]gw'\\\";\\n stringArray0[2] = \\\"Sets the desired weight of instances per interval for equal-frequency binning.\\\";\\n stringArray0[3] = \\\"}B\\\";\\n stringArray0[4] = \\\"-R\\\";\\n stringArray0[5] = \\\"Sets the desired weight of instances per interval for equal-frequency binning.\\\";\\n stringArray0[6] = \\\"`v\\\";\\n stringArray0[7] = \\\"g;aZyIK x\\\";\\n discretize0.setOptions(stringArray0);\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"feeae55a54dd66bd3f690655cf15d0e2\",\n \"score\": \"0.56844616\",\n \"text\": \"@Test(timeout = 4000)\\n public void test024() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(3, 2);\\n int[] intArray0 = new int[3];\\n resultMatrixCSV0.toStringRanking();\\n intArray0[0] = 2;\\n intArray0[1] = 0;\\n intArray0[2] = 160;\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n resultMatrixSignificance0.doubleToString(1903.270428, 0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a41f348a62a2e05c3f1e2775c370d81\",\n \"score\": \"0.56790173\",\n \"text\": \"@Test\\n\\tpublic void testAllHamster50() {\\n\\t\\n\\t\\tHamsterTestDataStore.getInstance().copyTestHamsterfile(\\\"td6.dat\\\");\\n\\t\\n\\t\\tint[] expectedUUID = new int[49];\\n\\t\\t//int expectedUUID = 1996485908;\\n\\t\\texpectedUUID[0] = 200384917;\\n\\t\\texpectedUUID[1] = 908775142;\\n\\t\\texpectedUUID[2] = 1617165367;\\n\\t\\texpectedUUID[3] = 178071944;\\n\\t\\texpectedUUID[4] = 886462169;\\n\\t\\texpectedUUID[5] = 1594852394;\\n\\t\\texpectedUUID[6] = 155758971;\\n\\t\\texpectedUUID[7] = 864149196;\\n\\t\\texpectedUUID[8] = 1572539421;\\n\\t\\texpectedUUID[9] = 1425996485;\\n\\t\\texpectedUUID[10] = 2033140214;\\n\\t\\texpectedUUID[11] = 492800295;\\n\\t\\texpectedUUID[12] = 1099944024;\\n\\t\\texpectedUUID[13] = 1707087753;\\n\\t\\texpectedUUID[14] = 166747834;\\n\\t\\texpectedUUID[15] = 773891563;\\n\\t\\texpectedUUID[16] = 1381035292;\\n\\t\\texpectedUUID[17] = 1988179021;\\n\\t\\texpectedUUID[18] = 447839102;\\n\\t\\texpectedUUID[19] = 2134386710;\\n\\t\\texpectedUUID[20] = 594046791;\\n\\t\\texpectedUUID[21] = 1201190520;\\n\\t\\texpectedUUID[22] = 1808334249;\\n\\t\\texpectedUUID[23] = 267994330;\\n\\t\\texpectedUUID[24] = 875138059;\\n\\t\\texpectedUUID[25] = 1482281788;\\n\\t\\texpectedUUID[26] = 2089425517;\\n\\t\\texpectedUUID[27] = 549085598;\\n\\t\\texpectedUUID[28] = 1156229327;\\n\\t\\texpectedUUID[29] = 695293287;\\n\\t\\texpectedUUID[30] = 1302437016;\\n\\t\\texpectedUUID[31] = 1909580745;\\n\\t\\texpectedUUID[32] = 369240826;\\n\\t\\texpectedUUID[33] = 976384555;\\n\\t\\texpectedUUID[34] = 1583528284;\\n\\t\\texpectedUUID[35] = 43188365;\\n\\t\\texpectedUUID[36] = 650332094;\\n\\t\\texpectedUUID[37] = 1257475823;\\n\\t\\texpectedUUID[38] = 1864619552;\\n\\t\\texpectedUUID[39] = 1403683512;\\n\\t\\texpectedUUID[40] = 2010827241;\\n\\t\\texpectedUUID[41] = 470487322;\\n\\t\\texpectedUUID[42] = 1077631051;\\n\\t\\texpectedUUID[43] = 1684774780;\\n\\t\\texpectedUUID[44] = 144434861;\\n\\t\\texpectedUUID[45] = 751578590;\\n\\t\\texpectedUUID[46] = 1358722319;\\n\\t\\texpectedUUID[47] = 1965866048;\\n\\t\\texpectedUUID[48] = 425526129;\\n\\t\\t\\n\\t\\tHamsterHandle fdptr = new HamsterHandle();\\n\\t\\ttry {\\n\\t\\t\\t\\n\\t\\t\\tfdptr.fdptr = -1;\\n\\t\\t\\tint count = 0;\\n\\t\\t\\t\\n\\t\\t\\tfor (int uu : expectedUUID) {\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tint uuid = hamster.directory(fdptr, null, null);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tassertEquals(uu, uuid);\\n\\t\\t\\t\\tassertNotEquals(-1, fdptr.fdptr);\\n\\t\\t\\t\\tassertEquals(5, fdptr.fdptr);\\n\\t\\t\\t\\texpectedUUID[count] = uuid;\\n\\t\\t\\t\\tcount++;\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\tassertEquals(49, count);\\n\\t\\t\\t\\n\\t\\t\\n\\t\\t\\t\\n\\t\\t} catch (HamsterRPCException_NotFound e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t} catch (HamsterRPCException_StorageError e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t} catch (HamsterRPCException_DatabaseCorrupt e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t} catch (IOException e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t} catch (HamsterRPCException e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t}\\n\\t\\t\\n\\t\\ttry {\\n\\t\\t\\t\\n\\t\\t\\tint uuid = hamster.directory(fdptr, null, null);\\n\\t\\t\\t\\n\\t\\t\\tassertEquals(2112073737, uuid);\\n\\t\\t\\tassertNotEquals(-1, fdptr.fdptr);\\n\\t\\t\\tassertEquals(5, fdptr.fdptr);\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t} catch (HamsterRPCException_NotFound e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t} catch (HamsterRPCException_StorageError e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t} catch (HamsterRPCException_DatabaseCorrupt e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t} catch (IOException e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t} catch (HamsterRPCException e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t}\\n\\t\\t\\n\\t\\ttry {\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\tint uuid = hamster.directory(fdptr, null, null);\\n\\t\\t\\t\\n\\t\\t\\tfail(\\\"Expected HamsterRPCException_NotFound\\\");\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t} catch (HamsterRPCException_NotFound e) {\\n\\t\\t\\t\\n\\t\\t} catch (HamsterRPCException_StorageError e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t} catch (HamsterRPCException_DatabaseCorrupt e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t} catch (IOException e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t} catch (HamsterRPCException e) {\\n\\t\\t\\tfail(\\\"Unexpected Exception: \\\" + e.getClass().getSimpleName());\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e38313bda83b691ed32bab5fe2770147\",\n \"score\": \"0.5675108\",\n \"text\": \"@Test(timeout = 4000)\\n public void test166() throws Throwable {\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n int[] intArray0 = new int[7];\\n intArray0[2] = 0;\\n intArray0[3] = 1;\\n intArray0[4] = 0;\\n resultMatrixCSV0.setRowOrder(intArray0);\\n int[][] intArray1 = new int[6][8];\\n intArray1[0] = intArray0;\\n int[] intArray2 = new int[7];\\n intArray2[0] = 2;\\n intArray2[1] = 0;\\n intArray2[2] = 2;\\n intArray2[3] = 2;\\n intArray2[4] = 0;\\n intArray2[6] = 0;\\n intArray1[1] = intArray2;\\n intArray1[3] = intArray0;\\n intArray1[4] = intArray0;\\n intArray1[5] = intArray0;\\n resultMatrixCSV0.setSummary(intArray1, intArray1);\\n resultMatrixCSV0.toStringRanking();\\n resultMatrixCSV0.getDefaultStdDevWidth();\\n resultMatrixCSV0.isSignificance((-615));\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4f56bca4f169744e39c48a037cd62308\",\n \"score\": \"0.5672597\",\n \"text\": \"@Test(timeout = 4000)\\n public void test069() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n resultMatrixLatex0.setMeanWidth((-1));\\n resultMatrixLatex0.toStringRanking();\\n resultMatrixLatex0.getVisibleColCount();\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n resultMatrixSignificance0.getDefaultColNameWidth();\\n resultMatrixSignificance0.toStringKey();\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixSignificance0);\\n resultMatrixHTML0.assign(resultMatrixSignificance0);\\n resultMatrixHTML0.globalInfo();\\n resultMatrixHTML0.getDefaultPrintColNames();\\n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML(46, 1);\\n resultMatrixHTML1.getEnumerateRowNames();\\n resultMatrixHTML1.getDisplayName();\\n String[] stringArray0 = new String[3];\\n stringArray0[0] = \\\"show-stddev\\\";\\n stringArray0[1] = \\\"v\\\";\\n double[][] doubleArray0 = new double[4][5];\\n double[] doubleArray1 = new double[7];\\n doubleArray1[0] = (double) (-1);\\n doubleArray1[1] = (double) (-1);\\n doubleArray1[2] = (double) 46;\\n doubleArray1[3] = (double) 0;\\n doubleArray1[4] = (double) 2;\\n doubleArray1[5] = (double) 2;\\n doubleArray1[6] = (double) 2;\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[3];\\n doubleArray2[0] = (double) 1;\\n doubleArray2[1] = (double) 0;\\n doubleArray2[2] = (double) 1;\\n doubleArray0[1] = doubleArray2;\\n double[] doubleArray3 = new double[1];\\n doubleArray3[0] = (double) 1;\\n doubleArray0[2] = doubleArray3;\\n double[] doubleArray4 = new double[2];\\n doubleArray4[0] = (double) 2;\\n doubleArray4[1] = (double) 0;\\n doubleArray0[3] = doubleArray4;\\n resultMatrixSignificance0.m_StdDev = doubleArray0;\\n stringArray0[2] = \\\"HTML\\\";\\n ResultMatrixLatex.main(stringArray0);\\n assertEquals(3, stringArray0.length);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7d6d4bb6f6a90c0376192c644b23cde6\",\n \"score\": \"0.5670111\",\n \"text\": \"@Test(timeout = 4000)\\n public void test006() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"P5d\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.weightedAreaUnderPRC();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b98856904117f746443748e540380eaf\",\n \"score\": \"0.56643367\",\n \"text\": \"@Test(timeout = 4000)\\n public void test091() throws Throwable {\\n int[][] intArray0 = new int[7][7];\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n resultMatrixHTML0.setRanking(intArray0);\\n resultMatrixHTML0.getSignificanceCount(97, 97);\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2cc1f3095f77486f684f4708bcb24cfd\",\n \"score\": \"0.5663785\",\n \"text\": \"@Test(timeout = 4000)\\n public void test099() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\" \\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toClassDetailsString(\\\".arff\\\");\\n assertEquals(\\\".arff\\\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\\\n 0 0 0 0 0 0 ? ? class1\\\\n 0 0 0 0 0 0 ? ? class2\\\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\\\n\\\", string0);\\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"81183a4fd91193d5067be54a7bae45b2\",\n \"score\": \"0.5663702\",\n \"text\": \"@Before\\n\\tpublic void setUp() throws Exception {\\n\\t\\tcollector = new StatisticsCollector(1);\\n\\t\\tcollector.collectData(10);\\n\\t\\tresult = \\\"The combination 1 1 was rolled in [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\\\\n\\\";\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"48c06a2491df0d6704726729b4690266\",\n \"score\": \"0.56636935\",\n \"text\": \"private int coverage(SingleTestSubset test)\\n\\t{\\n\\t\\tLinkedHashSet coveredRequirements = new LinkedHashSet();\\n\\t\\n\\t\\tIterator tIt = test.getRequirementSubsetSet().iterator();\\n\\t\\t\\n\\t\\twhile(tIt.hasNext())\\n\\t\\t{\\n\\t\\t\\tRequirementSubset currentRS = (RequirementSubset) tIt.next();\\n\\t\\t\\tif(this.getRequirementSubsetUniverse().contains(currentRS))\\n\\t\\t\\t\\tcoveredRequirements.add(currentRS);\\n\\t\\t}\\n\\t\\treturn coveredRequirements.size();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4f095ee0d9872fd6ab716e0c769908a2\",\n \"score\": \"0.56589526\",\n \"text\": \"@Test(timeout = 4000)\\n public void test110() throws Throwable {\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixCSV1);\\n String string0 = resultMatrixPlainText0.toStringMatrix();\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Dataset [1] \\\\n---------------------------------\\\\nrow0 (0) |\\\\n---------------------------------\\\\n[v/ /*] |\\\\n\\\", string0);\\n \\n resultMatrixCSV0.getMeanWidth();\\n resultMatrixCSV1.getSignificance((-336), 2401);\\n assertTrue(resultMatrixCSV1.getPrintRowNames());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4932e57522215d159a0965e84fea3252\",\n \"score\": \"0.56554973\",\n \"text\": \"@Test\\n public void overviewPolicy() throws Exception {\\n // Different tests reading data to create a coverage which is half the size of the original\\n // one\\n // across X and Y\\n // //\\n MockHttpServletResponse response = null;\\n byte[] tiffContents = null;\\n // Reading native resolution\\n response = getAsServletResponse((\\\"wcs?request=GetCoverage&service=WCS&version=2.0.1\\\" + (\\\"&coverageId=wcs__BlueMarble&overviewPolicy=IGNORE&scalesize=http://www.opengis.net/def/axis/OGC/1/i(180),\\\" + \\\"http://www.opengis.net/def/axis/OGC/1/j(180)\\\")));\\n Assert.assertEquals(\\\"image/tiff\\\", response.getContentType());\\n tiffContents = getBinary(response);\\n File fileNative = File.createTempFile(\\\"native\\\", \\\"native.tiff\\\", new File(\\\"./target\\\"));\\n FileUtils.writeByteArrayToFile(fileNative, tiffContents);\\n // Reading using overview and TargetSize\\n response = getAsServletResponse((\\\"wcs?request=GetCoverage&service=WCS&version=2.0.1\\\" + (\\\"&coverageId=wcs__BlueMarble&overviewPolicy=NEAREST&scalesize=http://www.opengis.net/def/axis/OGC/1/i(180),\\\" + \\\"http://www.opengis.net/def/axis/OGC/1/j(180)\\\")));\\n Assert.assertEquals(\\\"image/tiff\\\", response.getContentType());\\n tiffContents = getBinary(response);\\n File fileOverviewTS = File.createTempFile(\\\"overviewTS\\\", \\\"overviewTS.tiff\\\", new File(\\\"./target\\\"));\\n FileUtils.writeByteArrayToFile(fileOverviewTS, tiffContents);\\n // Reading using overview and ScaleFactor\\n response = getAsServletResponse((\\\"wcs?request=GetCoverage&service=WCS&version=2.0.1\\\" + \\\"&coverageId=wcs__BlueMarble&overviewPolicy=NEAREST&SCALEFACTOR=0.5\\\"));\\n Assert.assertEquals(\\\"image/tiff\\\", response.getContentType());\\n tiffContents = getBinary(response);\\n File fileOverviewSF = File.createTempFile(\\\"overviewSF\\\", \\\"overviewSF.tiff\\\", new File(\\\"./target\\\"));\\n FileUtils.writeByteArrayToFile(fileOverviewSF, tiffContents);\\n TIFFImageReaderSpi spi = new TIFFImageReaderSpi();\\n TIFFImageReader readerNative = null;\\n TIFFImageReader readerOverviewTS = null;\\n TIFFImageReader readerOverviewSF = null;\\n FileImageInputStream streamNative = null;\\n FileImageInputStream streamOverviewTS = null;\\n FileImageInputStream streamOverviewSF = null;\\n try {\\n streamNative = new FileImageInputStream(fileNative);\\n readerNative = ((TIFFImageReader) (spi.createReaderInstance()));\\n readerNative.setInput(streamNative);\\n streamOverviewTS = new FileImageInputStream(fileOverviewTS);\\n readerOverviewTS = ((TIFFImageReader) (spi.createReaderInstance()));\\n readerOverviewTS.setInput(streamOverviewTS);\\n streamOverviewSF = new FileImageInputStream(fileOverviewSF);\\n readerOverviewSF = ((TIFFImageReader) (spi.createReaderInstance()));\\n readerOverviewSF.setInput(streamOverviewSF);\\n // Reading back first image related to native request\\n RenderedImage riNative = readerNative.read(0);\\n Raster rasterNative = riNative.getData();\\n Assert.assertEquals(180, rasterNative.getWidth());\\n Assert.assertEquals(180, rasterNative.getHeight());\\n final int refX = 11;\\n final int refY = 65;\\n final int r1 = rasterNative.getSample(refX, refY, 0);\\n final int g1 = rasterNative.getSample(refX, refY, 1);\\n final int b1 = rasterNative.getSample(refX, refY, 2);\\n // Reading back second image related to request using overviews\\n final RenderedImage riOverviewTS = readerOverviewTS.read(0);\\n final Raster rasterOverviewTS = riOverviewTS.getData();\\n Assert.assertEquals(180, rasterOverviewTS.getWidth());\\n Assert.assertEquals(180, rasterOverviewTS.getHeight());\\n final int r2 = rasterOverviewTS.getSample(refX, refY, 0);\\n final int g2 = rasterOverviewTS.getSample(refX, refY, 1);\\n final int b2 = rasterOverviewTS.getSample(refX, refY, 2);\\n // Reading back third image related to request using overviews and scale factor\\n final RenderedImage riOverviewSF = readerOverviewSF.read(0);\\n final Raster rasterOverviewSF = riOverviewSF.getData();\\n Assert.assertEquals(180, rasterOverviewSF.getWidth());\\n Assert.assertEquals(180, rasterOverviewSF.getHeight());\\n final int r3 = rasterOverviewSF.getSample(refX, refY, 0);\\n final int g3 = rasterOverviewSF.getSample(refX, refY, 1);\\n final int b3 = rasterOverviewSF.getSample(refX, refY, 2);\\n // Checking the pixels are different\\n Assert.assertTrue((r1 != r2));\\n Assert.assertTrue((g1 != g2));\\n Assert.assertTrue((b1 != b2));\\n // Checking the pixels from quality overviews using same layout are equals\\n Assert.assertEquals(r2, r3);\\n Assert.assertEquals(g2, g3);\\n Assert.assertEquals(b2, b3);\\n } finally {\\n IOUtils.closeQuietly(streamOverviewTS);\\n IOUtils.closeQuietly(streamOverviewSF);\\n IOUtils.closeQuietly(streamNative);\\n if (readerOverviewTS != null) {\\n try {\\n readerOverviewTS.dispose();\\n } catch (Throwable t) {\\n // Does nothing\\n }\\n }\\n if (readerOverviewSF != null) {\\n try {\\n readerOverviewSF.dispose();\\n } catch (Throwable t) {\\n // Does nothing\\n }\\n }\\n if (readerNative != null) {\\n try {\\n readerNative.dispose();\\n } catch (Throwable t) {\\n // Does nothing\\n }\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1c093ee2449791e591b9f8bf7d8756d\",\n \"score\": \"0.5654863\",\n \"text\": \"@Test(timeout = 4000)\\n public void test082() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n int[] intArray0 = new int[1];\\n resultMatrixSignificance0.m_RankingDiff = intArray0;\\n resultMatrixSignificance0.m_RankingWins = intArray0;\\n resultMatrixSignificance0.m_PrintRowNames = false;\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\\n resultMatrixGnuPlot0.setRowNameWidth((-572));\\n int int0 = ResultMatrix.SIGNIFICANCE_LOSS;\\n assertEquals(2, int0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7bbacf667195b1fd1dd6d461373d905e\",\n \"score\": \"0.5654617\",\n \"text\": \"@Test\\n public void testApertureGN33ISO100Power0Distance5Aperture6Metres(){\\n calculationFormulaApertureTest(TestResults.GN33ISO100Power0Distance5Aperture6Metres);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"43ff29d6efedbd3520f96433e86ef1b4\",\n \"score\": \"0.56480104\",\n \"text\": \"@Test(timeout = 4000)\\n public void test050() throws Throwable {\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixGnuPlot0);\\n resultMatrixHTML0.setCount(3, 3);\\n String[] stringArray0 = new String[3];\\n stringArray0[0] = \\\"3\\\";\\n stringArray0[1] = \\\"\\\";\\n stringArray0[2] = \\\"v\\\";\\n ResultMatrixSignificance.main(stringArray0);\\n assertEquals(3, stringArray0.length);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"20627515146152b47981fb23132a6cff\",\n \"score\": \"0.56422776\",\n \"text\": \"@Test(timeout = 4000)\\n public void test073() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n char[] charArray0 = new char[2];\\n String string0 = evaluation0.num2ShortID(138, charArray0, 138);\\n assertEquals(\\\" \\\\u0000\\\\u0000\\\\u0000\\\\u0000\\\\u0000\\\\u0000\\\\u0000\\\", string0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fdf502a92468f65ee4444cfb08299638\",\n \"score\": \"0.5640891\",\n \"text\": \"public double measure(Cover cover) throws OcdMetricException, InterruptedException, OcdAlgorithmException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d1b33010d390c942830f8a9cb3a50b7\",\n \"score\": \"0.56333643\",\n \"text\": \"@Test(timeout = 4000)\\n public void test0() throws Throwable {\\n ConstantPoolGen constantPoolGen0 = new ConstantPoolGen();\\n constantPoolGen0.getSize();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f8064048430d2af4f6cb6e1607030c06\",\n \"score\": \"0.56333613\",\n \"text\": \"@Test(timeout = 4000)\\n public void test08() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.setOutputFormat();\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"650d7d34b9b596ecddae3a5716c13114\",\n \"score\": \"0.5630712\",\n \"text\": \"@Test(timeout = 4000)\\n public void test257() throws Throwable {\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n resultMatrixGnuPlot0.getSignificance(46, 46);\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39f1973eb6ad9e24ddecd1a11fc08d87\",\n \"score\": \"0.5630125\",\n \"text\": \"@Test(timeout = 4000)\\n public void test159() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n \\n String string0 = resultMatrixLatex0.getRevision();\\n assertEquals(\\\"8034\\\", string0);\\n assertNotNull(string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n \\n int[][] intArray0 = new int[5][7];\\n int[] intArray1 = new int[1];\\n intArray1[0] = 0;\\n intArray0[1] = intArray1;\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n \\n String string1 = resultMatrixGnuPlot0.removeFilterName(\\\"x\\\");\\n assertFalse(string1.equals((Object)string0));\\n assertEquals(\\\"x\\\", string1);\\n assertNotNull(string1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixGnuPlot0);\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(50, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n \\n resultMatrixPlainText0.m_RankingLosses = intArray1;\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(50, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n \\n String string2 = resultMatrixGnuPlot0.getColName(0);\\n assertFalse(string2.equals((Object)string1));\\n assertFalse(string2.equals((Object)string0));\\n assertEquals(\\\"col0\\\", string2);\\n assertNotNull(string2);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n \\n resultMatrixPlainText0.m_ColOrder = intArray1;\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(50, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n \\n String string3 = resultMatrixLatex0.globalInfo();\\n assertFalse(string3.equals((Object)string1));\\n assertFalse(string3.equals((Object)string0));\\n assertFalse(string3.equals((Object)string2));\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", string3);\\n assertNotNull(string3);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n \\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\\n assertEquals(0, int0);\\n \\n String string4 = resultMatrixGnuPlot0.printColNamesTipText();\\n assertFalse(string4.equals((Object)string3));\\n assertFalse(string4.equals((Object)string2));\\n assertFalse(string4.equals((Object)string0));\\n assertFalse(string4.equals((Object)string1));\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", string4);\\n assertNotNull(string4);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e4ae08176c1cd6afc45855c8e936316\",\n \"score\": \"0.562915\",\n \"text\": \"@Test(timeout = 4000)\\n public void test29() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n double[][] doubleArray0 = new double[10][2];\\n discretize0.m_CutPoints = doubleArray0;\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString(44);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 44\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e88a46a7f2d598d2dfb45124819769b\",\n \"score\": \"0.5625318\",\n \"text\": \"@Test\\n public void testRunBinomialDistTrials() {\\n System.out.println(\\\"runBinomialDistTrials\\\");\\n TrialRunner instance = new TrialRunner();\\n instance.runBinomialDistTrials();\\n \\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992484,"cells":{"query_id":{"kind":"string","value":"d687c8d0c750eceef911f5430643c832"},"query":{"kind":"string","value":"Translate a premultiplied integer number (e.g. 35) to a localespecific percentage (35%). wholeNumberToPercentage(88) > 88%"},"positive_passages":{"kind":"list like","value":[{"docid":"7569c912e98464ec3dc765fc9ffe05ec","score":"0.73993653","text":"public static String wholeNumberToPercentage(int n) {\n return I.trf(\"{0,number,percent}\", n / 100.0);\n }","title":""}],"string":"[\n {\n \"docid\": \"7569c912e98464ec3dc765fc9ffe05ec\",\n \"score\": \"0.73993653\",\n \"text\": \"public static String wholeNumberToPercentage(int n) {\\n return I.trf(\\\"{0,number,percent}\\\", n / 100.0);\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"4862343ab0f8fd39cd4a2e0d0ae6e395","score":"0.683781","text":"public static String fractionalNumberToPercentage(Number n) {\n Locale l = I.languageProvider.vend().locale;\n NumberFormat fmt = NumberFormat.getPercentInstance(l);\n fmt.setMaximumFractionDigits(2);\n fmt.setMinimumFractionDigits(0);\n return fmt.format(n);\n }","title":""},{"docid":"f54a2f78bca7a00f77beb1d60d8cae48","score":"0.6690433","text":"protected static int calcPercent(float part, float whole) {\n\t\tif(part==0 || whole==0) return 0;\n\t\tfloat perc = part/whole*100;\n\t\treturn (int)perc;\n\t}","title":""},{"docid":"4c17b854bb036aa76e223cb49a488441","score":"0.6418429","text":"private double percentageToDecimal(int percentage) {\n\t\treturn new Double(percentage) / 100;\n\t}","title":""},{"docid":"098995e3f7e8580440d6c207509a7aa1","score":"0.6318708","text":"float getPercentage();","title":""},{"docid":"944203c272076b40e734543d264a4a7a","score":"0.6243389","text":"public final int getPercentage() {\n String per_str = String.valueOf(percentage);\n try {\n return Integer.parseInt(per_str.split(\"\\\\.\")[0]);\n } catch (Throwable ex) {\n return 0;\n }\n }","title":""},{"docid":"4ed2e684b24368eb40634b8ecf1f0e32","score":"0.6237812","text":"public String getLikePercentage() {\n\t\treturn \"90%\";\n\t}","title":""},{"docid":"14ccc1e8e4b0b40579852090a0728c59","score":"0.6135679","text":"public int checkPensumPercentage(int percentage) throws PreconditionFailedException{\n\n //Should this be handled inside of service? What if constraints are changed in model?\n if(percentage < 0 || percentage > 100){\n throw new PreconditionFailedException(\"The pensum percentage must lie within a range of 0 and 100.\");\n }\n return percentage;\n }","title":""},{"docid":"b4ddf9dd3b703dc4b0408a50e6c35367","score":"0.61172104","text":"@gw.internal.gosu.parser.ExtendedProperty\n public java.math.BigDecimal getPercentage();","title":""},{"docid":"8ba25bc250be780c0b9d905c6debe479","score":"0.6043549","text":"double getPercentage();","title":""},{"docid":"8ba25bc250be780c0b9d905c6debe479","score":"0.6043549","text":"double getPercentage();","title":""},{"docid":"1ff5307ba940233d94ed466646b1f35f","score":"0.6007406","text":"private double percentageToValue(double percentage, double minValue, double maxValue) {\n return ((maxValue - minValue) * percentage) + minValue;\n }","title":""},{"docid":"11a952db1a2fd6d497bfbf67e3586130","score":"0.5993649","text":"public String getRelevanceAsPercentage(Locale locale) {\n NumberFormat format = DecimalFormat.getPercentInstance(locale);\n format.setMaximumFractionDigits(0);\n return format.format(relevance);\n }","title":""},{"docid":"0b0a85bb09d862d19a285d250fd5d278","score":"0.5929967","text":"private int scoreInPercentage ( int score )\n {\n switch ( score ) {\n case 0:\n return 90; // todo: adjust scoring\n case 1:\n return 70;\n default:\n return score;\n }\n }","title":""},{"docid":"830fa7fd1ccac48d437681b905602576","score":"0.5907141","text":"public static String getPercentage(double val) {\n return String.format(\"%.2f\", val*100).concat(\"%\");\n }","title":""},{"docid":"469d4d27548e0d1d567377b93e06a38c","score":"0.58715236","text":"private float calcPercentage(){\n return ((float)calculateResult()/getResults().length) * 100;\n\n }","title":""},{"docid":"589d624053b983a7fdc115848045ab47","score":"0.58292323","text":"public Double percent() {\n resultStack.push(result /= 100);\n return result;\n }","title":""},{"docid":"2a21029de798974d679fc6b87182e23a","score":"0.5812432","text":"public void setPercentage(java.math.BigDecimal value);","title":""},{"docid":"e74aa782b6c3f47cf2f7f4bc451c7384","score":"0.57761407","text":"public final void mPERCENT() throws RecognitionException {\n try {\n int _type = PERCENT;\n int _channel = DEFAULT_TOKEN_CHANNEL;\n // /home/ubuntu/spork/src/org/apache/pig/parser/QueryLexer.g:460:9: ( '%' )\n // /home/ubuntu/spork/src/org/apache/pig/parser/QueryLexer.g:460:11: '%'\n {\n match('%'); if (state.failed) return ;\n\n }\n\n state.type = _type;\n state.channel = _channel;\n }\n finally {\n \t// do for sure before leaving\n }\n }","title":""},{"docid":"3d56db4b128ab342f598a803299149c2","score":"0.5771896","text":"public static String intToPercentage(int n, int fractionalDigits) {\n double pct = n / 100.0;\n while (fractionalDigits-- > 0)\n pct /= 10.0;\n return fractionalNumberToPercentage(pct);\n }","title":""},{"docid":"c1fc898f18e325c81532f917a158a9bc","score":"0.57566065","text":"private double valueToPercentage(double value, double minValue, double maxValue) {\n return (value - minValue) / (maxValue - minValue);\n }","title":""},{"docid":"838d4db6cf1d585d623fd274878d6f43","score":"0.5737758","text":"public static float calculMontReductionProduit(float price, float percentage) {\n return price * percentage;\n }","title":""},{"docid":"4063b2a465e02baf63fca55c639c2735","score":"0.5736831","text":"public double getPercent(){\n\t\treturn (points/maxP)*100;\n\t}","title":""},{"docid":"06003d726ace78c061e80461ff3d5cf0","score":"0.5717264","text":"public double adicionalPercentual(double valor){\n\t\tdouble percentual = (valor * 10) / 100;\n\t\treturn valor + percentual;\n\t}","title":""},{"docid":"9ad8cf7442141a746e1cc8c6eda6c3a7","score":"0.5711931","text":"private static String TransformarValorPorcentual(String valor){\n String aux = valor.substring(0, valor.length()-1);\n double nuevoValor = Double.parseDouble(aux) / 100;\n return nuevoValor + \"\";\n}","title":""},{"docid":"9623cfe9b75e3b4ff64d4d44f7305c07","score":"0.57045025","text":"public final void mPERCENT() throws RecognitionException {\n try {\n int _type = PERCENT;\n int _channel = DEFAULT_TOKEN_CHANNEL;\n // jj.g:58:15: ( '%' )\n // jj.g:58:17: '%'\n {\n match('%'); \n\n }\n\n state.type = _type;\n state.channel = _channel;\n }\n finally {\n }\n }","title":""},{"docid":"8765fab0529b0ec2bab992a7fe771e94","score":"0.56870824","text":"public io.envoyproxy.envoy.type.v3.FractionalPercent getPercentage() {\n if (percentageBuilder_ == null) {\n return percentage_ == null ? io.envoyproxy.envoy.type.v3.FractionalPercent.getDefaultInstance() : percentage_;\n } else {\n return percentageBuilder_.getMessage();\n }\n }","title":""},{"docid":"fea396e063bc39db24db82d28e631f1c","score":"0.5681295","text":"static float getLauterEndPercent(Context context)\n {\n return .9f; // ToDo - Make this configurable\n }","title":""},{"docid":"8ac2ef1e67cdb2b81a517dee4fe2d59d","score":"0.5656037","text":"public static int computePercent(int current,int total){\n \tint percent = 0;\n \tif (total > 0)\n \t\tpercent = current * 100 / total;\n \treturn percent;\n }","title":""},{"docid":"a08a53b7b62ee5c0d34417dddf811345","score":"0.5651983","text":"private double angleToPercentage(double angle) {\n return angle / 360.0;\n }","title":""},{"docid":"cbab2ae6154143539b3665e0b7b5b2e9","score":"0.564081","text":"private int getPercentage(Double value) {\r\n\t\tdouble diff = max - min;\r\n\t\tdouble relZero = value - min;\r\n\r\n//\t\tif ((int) relZero == 0) {\r\n//\t\t\treturn 0;\r\n//\t\t}\r\n\t\treturn (int) ((relZero / diff) * 100);\r\n\t}","title":""},{"docid":"ac95e9dd4bd4b5bd367918210d94346d","score":"0.563839","text":"private Integer calculatePercentage(int totalVotes, int candidateTotal) {\n\n\t\treturn candidateTotal * 100 / totalVotes;\n\t}","title":""},{"docid":"73fb4cb716239a2e64578e2ec9ea0a45","score":"0.561673","text":"public void calculatePercentage() {\n }","title":""},{"docid":"e76e727760212175ff4bf4e623a1049c","score":"0.56061643","text":"public static double computeExactPercent(int current,int total){\n \tdouble percent = 0;\n \tdouble t=total;\n \tdouble c=current;\n \tif (total > 0)\n \t\tpercent = c * 100 / t;\n \treturn percent;\n }","title":""},{"docid":"9a9aec39c0c76fa84462b3d3f272a893","score":"0.55946165","text":"public final void mRULE_PERCENT() throws RecognitionException {\n try {\n int _type = RULE_PERCENT;\n int _channel = DEFAULT_TOKEN_CHANNEL;\n // ../at.caks.eglipse.lang.glsl/src-gen/at/caks/eglipse/lang/glsl/parser/antlr/internal/InternalGlsl.g:3798:14: ( '%' )\n // ../at.caks.eglipse.lang.glsl/src-gen/at/caks/eglipse/lang/glsl/parser/antlr/internal/InternalGlsl.g:3798:16: '%'\n {\n match('%'); \n\n }\n\n state.type = _type;\n state.channel = _channel;\n }\n finally {\n }\n }","title":""},{"docid":"f4099c693d946dd82fdc9233c69bf239","score":"0.5590758","text":"private double customRound(double num) {\n return Math.ceil(num * 100) / 100.0;\n }","title":""},{"docid":"77004967592928be61a5f2a2faeef97f","score":"0.55747586","text":"public Byte getPercentage() {\r\n\t\treturn percentage;\r\n\t}","title":""},{"docid":"f63dd6721ac0d8bbc79a6e34adae5ce9","score":"0.557452","text":"public static Double percentage(String value) {\n\t\tDouble doubleValue = notNegativeDouble(value);\n\t\tValidate.inclusiveBetween(0.0, 100.0, doubleValue);\n\t\treturn doubleValue;\n\t}","title":""},{"docid":"8cdf302ca0bab33ad36ddd9bff4b984a","score":"0.55485076","text":"private static int scaleToBlack(int component, float percentage) {\n\n return (int) (percentage * 0.6f * (0xFF - component) + component);\n }","title":""},{"docid":"74b79d067b72f6109650d00c43271527","score":"0.5528221","text":"private long getClockProgressPercent() {\n\t\treturn ((100L * mOtpProvider.getSecondsTillNextCounterValue()) / codeChangeIntervalSecs);\n\n\t}","title":""},{"docid":"45b253651f244283a96012d37a202876","score":"0.5517793","text":"public static float calculPriceUnitaryAfterPromo(float price, float percentage) {\n return price * (1 - percentage);\n }","title":""},{"docid":"f90c38162ae451c89f1c3e1378878615","score":"0.5489569","text":"public static void main(String[] args) {\n\n NumberFormat currency = NumberFormat.getCurrencyInstance();\n String result = currency.format(1234567.891);\n System.out.println(result); // ₹ 1,234,567.89\n\n NumberFormat percentage = NumberFormat.getPercentInstance();\n String result2 = percentage.format(0.1); // 10%\n System.out.println(result2); //\n }","title":""},{"docid":"24ff6e25aaca976ebdebe488a3f1182d","score":"0.5471304","text":"@Override\n\tpublic void updateProgressWith(long current) {\n\n\t\tif (current > 0) {\n\t\t\tmProgress.setProgress((int) current);\n\n\t\t\tdouble partOfLoad = (double) current / mProgress.getMax();\n\t\t\tdouble partOfLoadInPersantDouble = partOfLoad * 100;\n\t\t\tLong partOfLoadInPersants = (long) partOfLoadInPersantDouble;\n\t\t\tStringBuilder sb = new StringBuilder(\n\t\t\t\t\tpartOfLoadInPersants.toString());\n\t\t\tsb.append(\"%\");\n\t\t\ttextViewPercents.setText(sb.subSequence(0, sb.length()));\n\t\t}\n\t}","title":""},{"docid":"1ef78d8e8d6a29653ff3589dd499a26c","score":"0.5448775","text":"@ZenOperator(OperatorType.MOD)\n WeightedItemStack percent(float p);","title":""},{"docid":"aca9c43ff5b4e729f4a20d74045f2eb5","score":"0.5446692","text":"include<stdio.h>\nint main()\n{\n int number,n;\n scanf(\"%d\",&number);\n n=number%100;\n printf(\"%d\",n/10);\n return 0;\n}","title":""},{"docid":"935e7c1be39fbc43f47ede2601bc84c2","score":"0.54378015","text":"public void setPercentage(Byte percentage) {\r\n\t\tthis.percentage = percentage;\r\n\t}","title":""},{"docid":"4ff256d08adb4174020c11819205c678","score":"0.54364574","text":"@java.lang.Override\n public io.envoyproxy.envoy.type.v3.FractionalPercent getPercentage() {\n return percentage_ == null ? io.envoyproxy.envoy.type.v3.FractionalPercent.getDefaultInstance() : percentage_;\n }","title":""},{"docid":"93238790e2a5cee0805d2ae13eeb356e","score":"0.5426361","text":"public final void mPERCENTAGE() throws RecognitionException {\n try {\n // css21.g:593:25: ()\n // css21.g:593:26: \n {\n }\n\n }\n finally {\n }\n }","title":""},{"docid":"6485264d4bdcc28722fcf93d8a0182ad","score":"0.5425361","text":"public static int getPercentDiff(int i1, int i2) {\n return 100 * (i1 - i2) / Math.max(i1, i2);\n }","title":""},{"docid":"e1045aae34b82f4fcd0d5554d0c42ec1","score":"0.5412417","text":"public int getPercentage() {\n\t\treturn percent;\n\t}","title":""},{"docid":"c2bb48224a46096d991317ec71d52d04","score":"0.53861636","text":"private double precision(double value) {\n return ((int) (value * 100)) / 100.0;\n }","title":""},{"docid":"5f09144537de2b65b20e9be26aaa85f7","score":"0.5363712","text":"public static double roundedPercents(final BigDecimal availability) {\n return Math.round(availability.multiply(new BigDecimal(1000.0)).doubleValue()) / 10.0;\n }","title":""},{"docid":"4aaeecd7fce0f53e327c9a9380d686b5","score":"0.5345359","text":"public static void percentage(Double value) {\n\t\tif(!validation) return;\n\t\tinclusiveBetween(0.0, 100.0, value);\n\t}","title":""},{"docid":"b7ababaf913ab560fd6502115ac66756","score":"0.534225","text":"private static int _getPercentComplete(\n UIXRenderingContext context,\n UINode node\n )\n {\n int percentComplete = -1;\n\n UIXProgress progressComponent =\n (UIXProgress) NodeUtils.getUIComponent(context, node);\n Object modelObject = progressComponent.getValue();\n if (modelObject != null && modelObject instanceof BoundedRangeModel)\n {\n BoundedRangeModel model= (BoundedRangeModel) modelObject;\n //pu: Though these are 'long' types, deal with it as double, so as to\n // correctly compute percent for values towards the maximum of 'long'.\n double value = model.getValue();\n double maximum = model.getMaximum();\n if (value < 0 || maximum < 0)\n {\n percentComplete = PERCENT_UNKNOWN;\n }\n else\n {\n //pu: Loss due to truncation is not a concern here.\n percentComplete = (int)((value/maximum) * 100);\n }\n }\n else\n {\n _LOG.warning(\"DEFAULT_COMPONENT_TO_INDETERMINDATE_MODE\", progressComponent.getId());\n //Just get this to indeterminate state indefinitely on this condition.\n percentComplete = PERCENT_UNKNOWN;\n }\n\n if (percentComplete < 0)\n return PERCENT_UNKNOWN;\n\n // return the smaller of the two values\n percentComplete = Math.min(percentComplete, _PERCENT_COMPLETE_MAX);\n\n // make sure it is a multiple of _PERCENT_MULTIPLE.\n return (percentComplete - (percentComplete % _PERCENT_MULTIPLE));\n\n }","title":""},{"docid":"910ff76f77af96eff805690ab791467c","score":"0.53318113","text":"public static TA_Line_Char percent(){\r\n\t\treturn TA_Line_Char.create('%', \"line using percent character '%'\");\r\n\t}","title":""},{"docid":"9062c066047512de7259c86f2332257d","score":"0.5319374","text":"BigDecimal getAllocationPercentage();","title":""},{"docid":"a04e3456a443ee16caa2c36e84bb2a17","score":"0.5310716","text":"public List<Float> getPercentbyTi(String tinh);","title":""},{"docid":"22f71dec6103fa6f422c87ee77b79047","score":"0.5310196","text":"private int HandleMoneyAndPercentage(String current, String current2, String current3, String current4, int counter) {\n int add2Counter = 0;\n // ------- PERCENTAGE CHECK -------\n // --- case 1: NUMBER% ---\n if (current.contains(\"%\")) {\n updateDictionaries(current.toLowerCase());\n return 1;\n } else {\n if (counter + 1 < afterSplit.length) {\n // --- case 2, 3: NUMBER percent, NUMBER percentage ---\n if (afterSplit[counter + 1].toLowerCase().equals(\"percent\") || afterSplit[counter + 1].toLowerCase().equals(\"percentage\")) {\n current = current + \"%\";\n updateDictionaries(current.toLowerCase());\n return 2;\n }\n }\n // ------- PRICE CHECK -------\n dollar = checkIfMoney(current, current2, current3, current4);\n\n // --- all cases: Price Dollars, Price Fraction Dollars, $price,....\n if (dollar) {\n current = change_to_price(current, current2, current3, current4);\n //current =handleDot(current);\n if(current.contains(\".\")){\n String[] tempArr = current.split(\"\\\\.\");\n if(tempArr[0].equals(\"\"))\n current = \"0\"+current;\n }\n if(!current.equals(\"_Dollars\") && !current.equals(\" Dollars\"))\n updateDictionaries(current);\n String current2Lower = current2.toLowerCase();\n if (current2Lower.equals(\"dollars\"))\n add2Counter = 2;\n if (current3.toLowerCase().equals(\"dollars\"))\n add2Counter = 3;\n if (current4.toLowerCase().equals(\"dollars\"))\n add2Counter = 4;\n if (current.contains(\"$\") && current2Lower.equals(\"million\") || current.contains(\"$\") && current2Lower.equals(\"billion\") ||\n current.contains(\"$\") && current2Lower.equals(\"trillion\") || current.contains(\"$\") && current2Lower.equals(\"thousand\"))\n add2Counter++;\n }\n }\n if(current.contains(\"$\") || current.toLowerCase().contains(\"dollars\"))\n add2Counter++;\n return add2Counter;\n }","title":""},{"docid":"c0803b1627404aca98eaee2ecf44fb67","score":"0.53039813","text":"public static String percentCorrect(int score, Quiz quiz) {\n\t\tfloat pct = (float) score / quiz.possiblePoints();\n\t\treturn \"\" + (int) (pct * 100) + \"%\";\n\t}","title":""},{"docid":"8bd9eac255d3874960302fb09598cafd","score":"0.5296952","text":"private String getPercentStr(int percent){\n String s = \"\" + percent;\n if (s.length() == 1) return \" \" + s + \"%\";\n else if (s.length() == 2) return \" \" + s + \"%\";\n else return s + \"%\";\n }","title":""},{"docid":"d3dbbdbfd14d26962a9eed89de97fb9b","score":"0.52951074","text":"public static int percentRed(RedBlackBST tree){\r\n \tif(tree.isEmpty()){\r\n \t\treturn -1;\r\n \t}else{\r\n \t\tint percent = (int) Math.round(tree.numRed*100/tree.size());\r\n \t\treturn percent;\r\n \t}\r\n \t\r\n }","title":""},{"docid":"b412a18b79da2a09f1abe0a31850d79a","score":"0.5284565","text":"private double calculaValorVendaPorPercentLucro(double vlCusto, double percentLucro) {\n return ((vlCusto * percentLucro) / 100) + vlCusto ;\n }","title":""},{"docid":"99ad18f522fa9f428b87e97ec4913617","score":"0.5277464","text":"private static long calculatePercentOfMemory(String value, int percentPhraseLength) {\n String realValue = value.substring(0, value.length() - percentPhraseLength);\n double percent = Double.parseDouble(realValue) / 100;\n long result = (long) (percent * ManagementFactory.getMemoryMXBean().getHeapMemoryUsage().getMax());\n return result;\n }","title":""},{"docid":"81c7ffa7c964658dc0cc9d6fbb39ba2a","score":"0.5267919","text":"protected double roundHundredth(double n){\n return Math.round(n*100)/100;\n }","title":""},{"docid":"64459adab332ff87898fd86eb3f1225f","score":"0.52565295","text":"public static void calculate(int value) {\n\t\tvalue = value * 100;\n\t}","title":""},{"docid":"d4b9be692c2e262008a488212e6e453a","score":"0.5255474","text":"float getValueLinePart1OffsetPercentage();","title":""},{"docid":"22bbf3a81f8e4291152e4353da4be6db","score":"0.52531207","text":"private float calcVolume(int percent) {\n\t\treturn (1.0f - (float)(Math.log(100-percent)/Math.log(100)));\n\t}","title":""},{"docid":"8aa85b98a1d82711a43a39654acc77a5","score":"0.5251049","text":"public Integer getPercent() {\n return percent;\n }","title":""},{"docid":"5ec3be89e8223834f9d3a73ab3ed0983","score":"0.524283","text":"private int calculatePercent(boolean one, boolean two, boolean three, boolean five,\n String jordanNumber, String typeOfFoul, String docName,\n String nickName)\n {\n if(one && two && three && !five)\n {\n point += 1;\n }\n else\n {\n point += 0;\n }\n\n if (jordanNumber.equals(\"True\"))\n {\n point += 1;\n }\n else\n {\n point += 0;\n }\n\n if (typeOfFoul.equals(\"Technical Foul\"))\n {\n point += 1;\n }\n else\n {\n point += 0;\n }\n\n if (docName.equals(\"julius erving\"))\n {\n point += 1;\n }\n else\n {\n point += 0;\n }\n\n if (nickName.equals(\"the answer\"))\n {\n point += 1;\n }\n else\n {\n point += 0;\n }\n return (int)(((double)point/5) * 100);\n }","title":""},{"docid":"a662be283a64a1b661c235864c1f45c0","score":"0.5222959","text":"private int percentageTerm(String nextT, String token, HashMap dicDoc) {\n if (token == null || token.length() <= 0)\n return -1;\n //cases like 6%\n if (token.charAt(token.length() - 1) == '%') {\n //substring from number% to number (6% to 6)\n String checkIfNumber = token.substring(0, token.length() - 1);\n //if before the '%' char there is only digits and docs add to the dictionary the whole token.\n if (checkIfOnlyDigitsDotsComma(checkIfNumber)) {\n addToDicDoc(dicDoc, token);\n return 0;\n }\n }\n //cases like \"6 percent\", \"6 percentage\"\n else if (nextT != null && nextT != \"\" && (nextT.equals(\"percent\") || nextT.equals(\"percentage\"))) {\n //if before the percent/percentage there is only digits and docs add to the dictionary the whole token combine with '%'.\n\n if (checkIfOnlyDigitsDotsComma(token)) {\n addToDicDoc(dicDoc, token + '%');\n return 1;\n }\n }\n return -1;\n }","title":""},{"docid":"3a7b6feef305106e2777e567dfc87843","score":"0.5222406","text":"public float translateImagePixelToPercent(int imagePixel, int imageAxisSize){\n\n return (float) imagePixel / imageAxisSize;\n }","title":""},{"docid":"d5382d7571c5178e60fb45be6d4d701f","score":"0.5217987","text":"BigDecimal getTaxPercentage();","title":""},{"docid":"f0b4ae5515113b09d7b0e98395e5dfe1","score":"0.5215805","text":"public static void percentage(Double value, String message) {\n\t\tif(!validation) return;\n\t\tinclusiveBetween(0.0, 100.0, value, message);\n\t}","title":""},{"docid":"2b080fe2a2ad92a9a8a1f3c0fda37027","score":"0.521391","text":"private int cents() \n {\n return totalCents % 100;\n }","title":""},{"docid":"ca29105439581d38c88a4b7a2ae703c8","score":"0.51865697","text":"public double getPerRate(double intRate){\r\n perRate = (intRate * 100);\r\n return perRate;\r\n }","title":""},{"docid":"4e34536bfc5727c5da414ef287bdbea1","score":"0.5184407","text":"public int calculateGemCostForPercentageOfResource(User u, double percentage, int maxStorage) {\n\t\treturn 1000000;\n\t}","title":""},{"docid":"480132f71e0c391807877c0d7d276b5c","score":"0.51742846","text":"public float getPercentage() {\n return percentage;\n }","title":""},{"docid":"6f4ac38127d021d038cac8684903e6f3","score":"0.51707065","text":"public static float mpgToKPL(final float mpg) {\n float gallonToLiter = 4.54609188f;\n float mileToKilometer = 1.609344f;\n return Math.round(mpg * mileToKilometer / gallonToLiter * 100) / (float) 100;\n }","title":""},{"docid":"2f2abb01d6989e7d9858294debee00d6","score":"0.5162865","text":"@Override\r\n public int getPayRaisePercent( Employee employee ) {\r\n \r\n System.out.print(\"Bejöttem fixen : \");\r\n System.out.println( this.cfgProp.getSalary().getDeflt().getFixszazalek() + \" %\" );\r\n \r\n return (Integer) this.cfgProp.getSalary().getDeflt().getFixszazalek().intValue() ;\r\n }","title":""},{"docid":"323f167ef36cd6eec6dfac97bbd1390a","score":"0.51600474","text":"public void setPercent(Integer percent) {\n this.percent = percent;\n }","title":""},{"docid":"10e2a018e89e191ec34513a57d738215","score":"0.5159556","text":"private double percentageToAngle(double percentage) {\n return 360.0 * percentage;\n }","title":""},{"docid":"0fd6aed13f2067fdef930dd78a192fa8","score":"0.51539487","text":"public static Double percentage(String value, String message) {\n\t\tDouble doubleValue = notNegativeDouble(value);\n\t\tValidate.inclusiveBetween(0.0, 100.0, doubleValue, message);\n\t\treturn doubleValue;\n\t}","title":""},{"docid":"da308124b09977ce85230caaad07b891","score":"0.51511234","text":"private static long parseBytePercentValue(String value) throws PSQLException {\n long result = -1;\n int length;\n\n if (!value.isEmpty()) {\n length = getPercentPhraseLengthIfContains(value);\n\n if (length == -1) {\n throwExceptionAboutParsingError(\n \"Received MaxResultBuffer parameter can't be parsed. Value received to parse: {0}\",\n value);\n }\n\n result = calculatePercentOfMemory(value, length);\n }\n return result;\n }","title":""},{"docid":"c4901f0eaf195bfcc2e1fca1df22818c","score":"0.514928","text":"private int memNeeded(int percentage) {\n return (totalmem * percentage / 100 - occupiedmem) / totalProcesses;\n }","title":""},{"docid":"ffe69ff02e72b3b8f608421fb7905aff","score":"0.51382786","text":"private void normalize(int value)\r\n {\r\n cp.setNumber(value % 10); // Get the cp leftovers\r\n value /= 10; // Convert into sp\r\n \r\n sp.setNumber(value % 10); // Get the sp leftovers\r\n value /= 10; // Convert into gp\r\n \r\n gp.setNumber(value % 10); // Get the gp leftovers\r\n value /= 10; // Convert into pp\r\n \r\n pp.setNumber(value); // No more higher piece value\r\n }","title":""},{"docid":"0dcdc990dcac6746d3a7393689aa53ec","score":"0.5137341","text":"public char getPercent ()\n {\n return percent;\n }","title":""},{"docid":"b0403cfdcfbabd58e2e35f49eaf80e95","score":"0.5120593","text":"private static String isPercentage (int idx, String[] text, String word){\r\n String valueToReturn = \"\";\r\n try {\r\n if (word.contains(\"%\")){\r\n valueToReturn = word;\r\n if (word.charAt(0) == '%'){\r\n valueToReturn = null;\r\n }\r\n }\r\n else if (idx + 1 < text.length){// case of percent/percentage after a number\r\n String nextWord = removePeriod(text[idx + 1].toLowerCase());\r\n\r\n if (\"percent\".equals(nextWord) || \"percentage\".equals(nextWord)) {\r\n valueToReturn = word + \"%\";\r\n }\r\n }\r\n\r\n }catch (NumberFormatException e){\r\n e.printStackTrace();\r\n System.out.println(\"Error: given string is not a number (float)\");\r\n }catch (Exception e){\r\n e.printStackTrace();\r\n System.out.println(\"Error: unknown error\");\r\n }\r\n\r\n return valueToReturn;\r\n }","title":""},{"docid":"b6cee25f4d5ca16d33c28884586dc617","score":"0.5120567","text":"public void setPercentages(int value) {\r\n this.percentages = value;\r\n }","title":""},{"docid":"658483d3ab83e1e716280db375c7ae34","score":"0.5119875","text":"public int rangePercentageToAbsolute(double percentage){\r\n\t\tint downLimit = robot.preferences.getInt(\"limitGripperRotateDown\", 4096);\r\n\t\tint upLimit = robot.preferences.getInt(\"limitGripperRotateUp\", 0);\r\n\t\treturn (int) Math.round(downLimit + ((upLimit - downLimit) * percentage));\r\n\t}","title":""},{"docid":"1507a463ad9937a6aae49917b0071da6","score":"0.51116097","text":"public void setPercent (char percent)\n {\n this.percent = percent;\n }","title":""},{"docid":"db2ba62c480c567f191330ad5ea91415","score":"0.51095325","text":"public io.envoyproxy.envoy.type.v3.FractionalPercentOrBuilder getPercentageOrBuilder() {\n if (percentageBuilder_ != null) {\n return percentageBuilder_.getMessageOrBuilder();\n } else {\n return percentage_ == null ?\n io.envoyproxy.envoy.type.v3.FractionalPercent.getDefaultInstance() : percentage_;\n }\n }","title":""},{"docid":"26299ca0e2a8f45f168aea389275ec45","score":"0.5103649","text":"public float getPercentageOfPubData() {\r\n\t\tif (Data == 0)\r\n\t\t\treturn 0; // zero is returned instead of NaN\r\n\t\t// return Float.NaN;\r\n\t\telse{\r\n\t\t\tfloat temp;\r\n\t\t\ttemp = (((float) pubData) / Data) * 100;\r\n\t\t\t// SciDesktop Modification TA_R001\t--- calls getnormalization \r\n\t\t\treturn getNormalized(temp);\r\n\t\t}\r\n\t}","title":""},{"docid":"d899c4760628f96fd50b70a9a4b060a0","score":"0.50962174","text":"public boolean setPropertyUpdateTotalPercentage(long aValue);","title":""},{"docid":"7a0d0f6b7c77ce5ffd97600916aeaa93","score":"0.509597","text":"public int converter(int a, int b) {\r\n return (a / b) + (a * 30) - 2;\r\n }","title":""},{"docid":"709ed944dfe08e319240905100a7c38c","score":"0.50834405","text":"public IString percentDecode(IString s) {\n\t\tByteBuffer bytes = ByteBuffer.allocate(s.length());\n\t\tfor(int i = 0; i < s.length(); i++) {\n\t\t\tint c = s.charAt(i);\n\t\t\tif(c == '%') {\n\t\t\t\tSystem.out.println(Integer.valueOf(s.substring(i+1, i+3).getValue(), 16).byteValue());\n\t\t\t\tbytes.put(Integer.valueOf(s.substring(i+1, i+3).getValue(), 16).byteValue());\n\t\t\t\ti += 2;\n\t\t\t}\n\t\t\telse if (c < 256) {\n\t\t\t\tbytes.put((byte)c);\n\t\t\t}\n\t\t\telse {\n\t\t\t\tthrow new IllegalArgumentException(\"Unencoded character in string: \" + c);\n\t\t\t}\n\t\t}\n\t\tbytes.limit(bytes.position());\n\t\tbytes.rewind();\n\t\tint[] array = StandardCharsets.UTF_8.decode(bytes).codePoints().toArray();\n\t\treturn values.string(array);\n\t}","title":""},{"docid":"12b681a7684a753ac60acf704c6aa4fa","score":"0.50645137","text":"public static double getPercent(Player player, String string) {\n string = string.substring(0, string.length() - 1);\n double percent;\n\n try {\n percent = Double.parseDouble(string);\n if (percent < 0)\n if (player != null)\n player.sendMessage(\"The percent cannot be below 0\");\n if (percent > 100) {\n if (player != null)\n player.sendMessage(\"The percent cannot be above 100\");\n }\n else\n return percent;\n }\n catch (Exception notDouble) {\n if (player != null)\n player.sendMessage(string+\" is not a valid number\");\n }\n \n return -1;\n }","title":""},{"docid":"28b28d712f5fe9e5a3aad3140955badb","score":"0.50582653","text":"public static FrequencyEnum fromPercent(int percentage) {\n\n if (percentage >= 1 && percentage <= 100) {\n int currentPercentage = 0;\n for (FrequencyEnum frequency : FrequencyEnum.values()) {\n currentPercentage += frequency.percent;\n if (percentage <= currentPercentage) {\n return frequency;\n }\n }\n }\n return null;\n }","title":""},{"docid":"83b9fe3ccc18ffcc7d04c3d7d6ac65ed","score":"0.50447625","text":"private static int getPercentPhraseLengthIfContains(String valueToCheck) {\n int result = -1;\n for (String phrase : PERCENT_PHRASES) {\n int indx = getPhraseLengthIfContains(valueToCheck, phrase);\n if (indx != -1) {\n result = indx;\n }\n }\n return result;\n }","title":""},{"docid":"51979717fb4756e934c71154fba6410f","score":"0.5044177","text":"private boolean getAndCheckPercentage() { \r\n percentage = (int) IJ.getNumber(\"Please enter the percentage (between 0 and 49). If 0 is entered, linear contrast modification will be used: \", PERCENTAGE_DEFAULT);\r\n \r\n if(percentage > 0 && percentage <= 49) {\r\n \treturn true;\r\n } else {\r\n \t\tIJ.showMessage(\"Error\", \"The percentage value was out of bounds!\\nNow linear modification will be used\"); \r\n \treturn false;\r\n }\t \t\r\n }","title":""},{"docid":"cb9f73e7f8f588c27606328eca4b8562","score":"0.50404006","text":"@java.lang.Override\n public float getPercentEncoded() {\n return percentEncoded_;\n }","title":""},{"docid":"ccc7e9c0fe2f58ba801f803a48a9df34","score":"0.50395954","text":"private int dollars()\n {\n return totalCents / 100;\n }","title":""}],"string":"[\n {\n \"docid\": \"4862343ab0f8fd39cd4a2e0d0ae6e395\",\n \"score\": \"0.683781\",\n \"text\": \"public static String fractionalNumberToPercentage(Number n) {\\n Locale l = I.languageProvider.vend().locale;\\n NumberFormat fmt = NumberFormat.getPercentInstance(l);\\n fmt.setMaximumFractionDigits(2);\\n fmt.setMinimumFractionDigits(0);\\n return fmt.format(n);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f54a2f78bca7a00f77beb1d60d8cae48\",\n \"score\": \"0.6690433\",\n \"text\": \"protected static int calcPercent(float part, float whole) {\\n\\t\\tif(part==0 || whole==0) return 0;\\n\\t\\tfloat perc = part/whole*100;\\n\\t\\treturn (int)perc;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4c17b854bb036aa76e223cb49a488441\",\n \"score\": \"0.6418429\",\n \"text\": \"private double percentageToDecimal(int percentage) {\\n\\t\\treturn new Double(percentage) / 100;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"098995e3f7e8580440d6c207509a7aa1\",\n \"score\": \"0.6318708\",\n \"text\": \"float getPercentage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"944203c272076b40e734543d264a4a7a\",\n \"score\": \"0.6243389\",\n \"text\": \"public final int getPercentage() {\\n String per_str = String.valueOf(percentage);\\n try {\\n return Integer.parseInt(per_str.split(\\\"\\\\\\\\.\\\")[0]);\\n } catch (Throwable ex) {\\n return 0;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4ed2e684b24368eb40634b8ecf1f0e32\",\n \"score\": \"0.6237812\",\n \"text\": \"public String getLikePercentage() {\\n\\t\\treturn \\\"90%\\\";\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"14ccc1e8e4b0b40579852090a0728c59\",\n \"score\": \"0.6135679\",\n \"text\": \"public int checkPensumPercentage(int percentage) throws PreconditionFailedException{\\n\\n //Should this be handled inside of service? What if constraints are changed in model?\\n if(percentage < 0 || percentage > 100){\\n throw new PreconditionFailedException(\\\"The pensum percentage must lie within a range of 0 and 100.\\\");\\n }\\n return percentage;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b4ddf9dd3b703dc4b0408a50e6c35367\",\n \"score\": \"0.61172104\",\n \"text\": \"@gw.internal.gosu.parser.ExtendedProperty\\n public java.math.BigDecimal getPercentage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8ba25bc250be780c0b9d905c6debe479\",\n \"score\": \"0.6043549\",\n \"text\": \"double getPercentage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8ba25bc250be780c0b9d905c6debe479\",\n \"score\": \"0.6043549\",\n \"text\": \"double getPercentage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ff5307ba940233d94ed466646b1f35f\",\n \"score\": \"0.6007406\",\n \"text\": \"private double percentageToValue(double percentage, double minValue, double maxValue) {\\n return ((maxValue - minValue) * percentage) + minValue;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"11a952db1a2fd6d497bfbf67e3586130\",\n \"score\": \"0.5993649\",\n \"text\": \"public String getRelevanceAsPercentage(Locale locale) {\\n NumberFormat format = DecimalFormat.getPercentInstance(locale);\\n format.setMaximumFractionDigits(0);\\n return format.format(relevance);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b0a85bb09d862d19a285d250fd5d278\",\n \"score\": \"0.5929967\",\n \"text\": \"private int scoreInPercentage ( int score )\\n {\\n switch ( score ) {\\n case 0:\\n return 90; // todo: adjust scoring\\n case 1:\\n return 70;\\n default:\\n return score;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"830fa7fd1ccac48d437681b905602576\",\n \"score\": \"0.5907141\",\n \"text\": \"public static String getPercentage(double val) {\\n return String.format(\\\"%.2f\\\", val*100).concat(\\\"%\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"469d4d27548e0d1d567377b93e06a38c\",\n \"score\": \"0.58715236\",\n \"text\": \"private float calcPercentage(){\\n return ((float)calculateResult()/getResults().length) * 100;\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"589d624053b983a7fdc115848045ab47\",\n \"score\": \"0.58292323\",\n \"text\": \"public Double percent() {\\n resultStack.push(result /= 100);\\n return result;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a21029de798974d679fc6b87182e23a\",\n \"score\": \"0.5812432\",\n \"text\": \"public void setPercentage(java.math.BigDecimal value);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e74aa782b6c3f47cf2f7f4bc451c7384\",\n \"score\": \"0.57761407\",\n \"text\": \"public final void mPERCENT() throws RecognitionException {\\n try {\\n int _type = PERCENT;\\n int _channel = DEFAULT_TOKEN_CHANNEL;\\n // /home/ubuntu/spork/src/org/apache/pig/parser/QueryLexer.g:460:9: ( '%' )\\n // /home/ubuntu/spork/src/org/apache/pig/parser/QueryLexer.g:460:11: '%'\\n {\\n match('%'); if (state.failed) return ;\\n\\n }\\n\\n state.type = _type;\\n state.channel = _channel;\\n }\\n finally {\\n \\t// do for sure before leaving\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3d56db4b128ab342f598a803299149c2\",\n \"score\": \"0.5771896\",\n \"text\": \"public static String intToPercentage(int n, int fractionalDigits) {\\n double pct = n / 100.0;\\n while (fractionalDigits-- > 0)\\n pct /= 10.0;\\n return fractionalNumberToPercentage(pct);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c1fc898f18e325c81532f917a158a9bc\",\n \"score\": \"0.57566065\",\n \"text\": \"private double valueToPercentage(double value, double minValue, double maxValue) {\\n return (value - minValue) / (maxValue - minValue);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"838d4db6cf1d585d623fd274878d6f43\",\n \"score\": \"0.5737758\",\n \"text\": \"public static float calculMontReductionProduit(float price, float percentage) {\\n return price * percentage;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4063b2a465e02baf63fca55c639c2735\",\n \"score\": \"0.5736831\",\n \"text\": \"public double getPercent(){\\n\\t\\treturn (points/maxP)*100;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"06003d726ace78c061e80461ff3d5cf0\",\n \"score\": \"0.5717264\",\n \"text\": \"public double adicionalPercentual(double valor){\\n\\t\\tdouble percentual = (valor * 10) / 100;\\n\\t\\treturn valor + percentual;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9ad8cf7442141a746e1cc8c6eda6c3a7\",\n \"score\": \"0.5711931\",\n \"text\": \"private static String TransformarValorPorcentual(String valor){\\n String aux = valor.substring(0, valor.length()-1);\\n double nuevoValor = Double.parseDouble(aux) / 100;\\n return nuevoValor + \\\"\\\";\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9623cfe9b75e3b4ff64d4d44f7305c07\",\n \"score\": \"0.57045025\",\n \"text\": \"public final void mPERCENT() throws RecognitionException {\\n try {\\n int _type = PERCENT;\\n int _channel = DEFAULT_TOKEN_CHANNEL;\\n // jj.g:58:15: ( '%' )\\n // jj.g:58:17: '%'\\n {\\n match('%'); \\n\\n }\\n\\n state.type = _type;\\n state.channel = _channel;\\n }\\n finally {\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8765fab0529b0ec2bab992a7fe771e94\",\n \"score\": \"0.56870824\",\n \"text\": \"public io.envoyproxy.envoy.type.v3.FractionalPercent getPercentage() {\\n if (percentageBuilder_ == null) {\\n return percentage_ == null ? io.envoyproxy.envoy.type.v3.FractionalPercent.getDefaultInstance() : percentage_;\\n } else {\\n return percentageBuilder_.getMessage();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fea396e063bc39db24db82d28e631f1c\",\n \"score\": \"0.5681295\",\n \"text\": \"static float getLauterEndPercent(Context context)\\n {\\n return .9f; // ToDo - Make this configurable\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8ac2ef1e67cdb2b81a517dee4fe2d59d\",\n \"score\": \"0.5656037\",\n \"text\": \"public static int computePercent(int current,int total){\\n \\tint percent = 0;\\n \\tif (total > 0)\\n \\t\\tpercent = current * 100 / total;\\n \\treturn percent;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a08a53b7b62ee5c0d34417dddf811345\",\n \"score\": \"0.5651983\",\n \"text\": \"private double angleToPercentage(double angle) {\\n return angle / 360.0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cbab2ae6154143539b3665e0b7b5b2e9\",\n \"score\": \"0.564081\",\n \"text\": \"private int getPercentage(Double value) {\\r\\n\\t\\tdouble diff = max - min;\\r\\n\\t\\tdouble relZero = value - min;\\r\\n\\r\\n//\\t\\tif ((int) relZero == 0) {\\r\\n//\\t\\t\\treturn 0;\\r\\n//\\t\\t}\\r\\n\\t\\treturn (int) ((relZero / diff) * 100);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac95e9dd4bd4b5bd367918210d94346d\",\n \"score\": \"0.563839\",\n \"text\": \"private Integer calculatePercentage(int totalVotes, int candidateTotal) {\\n\\n\\t\\treturn candidateTotal * 100 / totalVotes;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"73fb4cb716239a2e64578e2ec9ea0a45\",\n \"score\": \"0.561673\",\n \"text\": \"public void calculatePercentage() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e76e727760212175ff4bf4e623a1049c\",\n \"score\": \"0.56061643\",\n \"text\": \"public static double computeExactPercent(int current,int total){\\n \\tdouble percent = 0;\\n \\tdouble t=total;\\n \\tdouble c=current;\\n \\tif (total > 0)\\n \\t\\tpercent = c * 100 / t;\\n \\treturn percent;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9a9aec39c0c76fa84462b3d3f272a893\",\n \"score\": \"0.55946165\",\n \"text\": \"public final void mRULE_PERCENT() throws RecognitionException {\\n try {\\n int _type = RULE_PERCENT;\\n int _channel = DEFAULT_TOKEN_CHANNEL;\\n // ../at.caks.eglipse.lang.glsl/src-gen/at/caks/eglipse/lang/glsl/parser/antlr/internal/InternalGlsl.g:3798:14: ( '%' )\\n // ../at.caks.eglipse.lang.glsl/src-gen/at/caks/eglipse/lang/glsl/parser/antlr/internal/InternalGlsl.g:3798:16: '%'\\n {\\n match('%'); \\n\\n }\\n\\n state.type = _type;\\n state.channel = _channel;\\n }\\n finally {\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f4099c693d946dd82fdc9233c69bf239\",\n \"score\": \"0.5590758\",\n \"text\": \"private double customRound(double num) {\\n return Math.ceil(num * 100) / 100.0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"77004967592928be61a5f2a2faeef97f\",\n \"score\": \"0.55747586\",\n \"text\": \"public Byte getPercentage() {\\r\\n\\t\\treturn percentage;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f63dd6721ac0d8bbc79a6e34adae5ce9\",\n \"score\": \"0.557452\",\n \"text\": \"public static Double percentage(String value) {\\n\\t\\tDouble doubleValue = notNegativeDouble(value);\\n\\t\\tValidate.inclusiveBetween(0.0, 100.0, doubleValue);\\n\\t\\treturn doubleValue;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8cdf302ca0bab33ad36ddd9bff4b984a\",\n \"score\": \"0.55485076\",\n \"text\": \"private static int scaleToBlack(int component, float percentage) {\\n\\n return (int) (percentage * 0.6f * (0xFF - component) + component);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74b79d067b72f6109650d00c43271527\",\n \"score\": \"0.5528221\",\n \"text\": \"private long getClockProgressPercent() {\\n\\t\\treturn ((100L * mOtpProvider.getSecondsTillNextCounterValue()) / codeChangeIntervalSecs);\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"45b253651f244283a96012d37a202876\",\n \"score\": \"0.5517793\",\n \"text\": \"public static float calculPriceUnitaryAfterPromo(float price, float percentage) {\\n return price * (1 - percentage);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f90c38162ae451c89f1c3e1378878615\",\n \"score\": \"0.5489569\",\n \"text\": \"public static void main(String[] args) {\\n\\n NumberFormat currency = NumberFormat.getCurrencyInstance();\\n String result = currency.format(1234567.891);\\n System.out.println(result); // ₹ 1,234,567.89\\n\\n NumberFormat percentage = NumberFormat.getPercentInstance();\\n String result2 = percentage.format(0.1); // 10%\\n System.out.println(result2); //\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"24ff6e25aaca976ebdebe488a3f1182d\",\n \"score\": \"0.5471304\",\n \"text\": \"@Override\\n\\tpublic void updateProgressWith(long current) {\\n\\n\\t\\tif (current > 0) {\\n\\t\\t\\tmProgress.setProgress((int) current);\\n\\n\\t\\t\\tdouble partOfLoad = (double) current / mProgress.getMax();\\n\\t\\t\\tdouble partOfLoadInPersantDouble = partOfLoad * 100;\\n\\t\\t\\tLong partOfLoadInPersants = (long) partOfLoadInPersantDouble;\\n\\t\\t\\tStringBuilder sb = new StringBuilder(\\n\\t\\t\\t\\t\\tpartOfLoadInPersants.toString());\\n\\t\\t\\tsb.append(\\\"%\\\");\\n\\t\\t\\ttextViewPercents.setText(sb.subSequence(0, sb.length()));\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ef78d8e8d6a29653ff3589dd499a26c\",\n \"score\": \"0.5448775\",\n \"text\": \"@ZenOperator(OperatorType.MOD)\\n WeightedItemStack percent(float p);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aca9c43ff5b4e729f4a20d74045f2eb5\",\n \"score\": \"0.5446692\",\n \"text\": \"include<stdio.h>\\nint main()\\n{\\n int number,n;\\n scanf(\\\"%d\\\",&number);\\n n=number%100;\\n printf(\\\"%d\\\",n/10);\\n return 0;\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"935e7c1be39fbc43f47ede2601bc84c2\",\n \"score\": \"0.54378015\",\n \"text\": \"public void setPercentage(Byte percentage) {\\r\\n\\t\\tthis.percentage = percentage;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4ff256d08adb4174020c11819205c678\",\n \"score\": \"0.54364574\",\n \"text\": \"@java.lang.Override\\n public io.envoyproxy.envoy.type.v3.FractionalPercent getPercentage() {\\n return percentage_ == null ? io.envoyproxy.envoy.type.v3.FractionalPercent.getDefaultInstance() : percentage_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93238790e2a5cee0805d2ae13eeb356e\",\n \"score\": \"0.5426361\",\n \"text\": \"public final void mPERCENTAGE() throws RecognitionException {\\n try {\\n // css21.g:593:25: ()\\n // css21.g:593:26: \\n {\\n }\\n\\n }\\n finally {\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6485264d4bdcc28722fcf93d8a0182ad\",\n \"score\": \"0.5425361\",\n \"text\": \"public static int getPercentDiff(int i1, int i2) {\\n return 100 * (i1 - i2) / Math.max(i1, i2);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e1045aae34b82f4fcd0d5554d0c42ec1\",\n \"score\": \"0.5412417\",\n \"text\": \"public int getPercentage() {\\n\\t\\treturn percent;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2bb48224a46096d991317ec71d52d04\",\n \"score\": \"0.53861636\",\n \"text\": \"private double precision(double value) {\\n return ((int) (value * 100)) / 100.0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f09144537de2b65b20e9be26aaa85f7\",\n \"score\": \"0.5363712\",\n \"text\": \"public static double roundedPercents(final BigDecimal availability) {\\n return Math.round(availability.multiply(new BigDecimal(1000.0)).doubleValue()) / 10.0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4aaeecd7fce0f53e327c9a9380d686b5\",\n \"score\": \"0.5345359\",\n \"text\": \"public static void percentage(Double value) {\\n\\t\\tif(!validation) return;\\n\\t\\tinclusiveBetween(0.0, 100.0, value);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b7ababaf913ab560fd6502115ac66756\",\n \"score\": \"0.534225\",\n \"text\": \"private static int _getPercentComplete(\\n UIXRenderingContext context,\\n UINode node\\n )\\n {\\n int percentComplete = -1;\\n\\n UIXProgress progressComponent =\\n (UIXProgress) NodeUtils.getUIComponent(context, node);\\n Object modelObject = progressComponent.getValue();\\n if (modelObject != null && modelObject instanceof BoundedRangeModel)\\n {\\n BoundedRangeModel model= (BoundedRangeModel) modelObject;\\n //pu: Though these are 'long' types, deal with it as double, so as to\\n // correctly compute percent for values towards the maximum of 'long'.\\n double value = model.getValue();\\n double maximum = model.getMaximum();\\n if (value < 0 || maximum < 0)\\n {\\n percentComplete = PERCENT_UNKNOWN;\\n }\\n else\\n {\\n //pu: Loss due to truncation is not a concern here.\\n percentComplete = (int)((value/maximum) * 100);\\n }\\n }\\n else\\n {\\n _LOG.warning(\\\"DEFAULT_COMPONENT_TO_INDETERMINDATE_MODE\\\", progressComponent.getId());\\n //Just get this to indeterminate state indefinitely on this condition.\\n percentComplete = PERCENT_UNKNOWN;\\n }\\n\\n if (percentComplete < 0)\\n return PERCENT_UNKNOWN;\\n\\n // return the smaller of the two values\\n percentComplete = Math.min(percentComplete, _PERCENT_COMPLETE_MAX);\\n\\n // make sure it is a multiple of _PERCENT_MULTIPLE.\\n return (percentComplete - (percentComplete % _PERCENT_MULTIPLE));\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"910ff76f77af96eff805690ab791467c\",\n \"score\": \"0.53318113\",\n \"text\": \"public static TA_Line_Char percent(){\\r\\n\\t\\treturn TA_Line_Char.create('%', \\\"line using percent character '%'\\\");\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9062c066047512de7259c86f2332257d\",\n \"score\": \"0.5319374\",\n \"text\": \"BigDecimal getAllocationPercentage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a04e3456a443ee16caa2c36e84bb2a17\",\n \"score\": \"0.5310716\",\n \"text\": \"public List<Float> getPercentbyTi(String tinh);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"22f71dec6103fa6f422c87ee77b79047\",\n \"score\": \"0.5310196\",\n \"text\": \"private int HandleMoneyAndPercentage(String current, String current2, String current3, String current4, int counter) {\\n int add2Counter = 0;\\n // ------- PERCENTAGE CHECK -------\\n // --- case 1: NUMBER% ---\\n if (current.contains(\\\"%\\\")) {\\n updateDictionaries(current.toLowerCase());\\n return 1;\\n } else {\\n if (counter + 1 < afterSplit.length) {\\n // --- case 2, 3: NUMBER percent, NUMBER percentage ---\\n if (afterSplit[counter + 1].toLowerCase().equals(\\\"percent\\\") || afterSplit[counter + 1].toLowerCase().equals(\\\"percentage\\\")) {\\n current = current + \\\"%\\\";\\n updateDictionaries(current.toLowerCase());\\n return 2;\\n }\\n }\\n // ------- PRICE CHECK -------\\n dollar = checkIfMoney(current, current2, current3, current4);\\n\\n // --- all cases: Price Dollars, Price Fraction Dollars, $price,....\\n if (dollar) {\\n current = change_to_price(current, current2, current3, current4);\\n //current =handleDot(current);\\n if(current.contains(\\\".\\\")){\\n String[] tempArr = current.split(\\\"\\\\\\\\.\\\");\\n if(tempArr[0].equals(\\\"\\\"))\\n current = \\\"0\\\"+current;\\n }\\n if(!current.equals(\\\"_Dollars\\\") && !current.equals(\\\" Dollars\\\"))\\n updateDictionaries(current);\\n String current2Lower = current2.toLowerCase();\\n if (current2Lower.equals(\\\"dollars\\\"))\\n add2Counter = 2;\\n if (current3.toLowerCase().equals(\\\"dollars\\\"))\\n add2Counter = 3;\\n if (current4.toLowerCase().equals(\\\"dollars\\\"))\\n add2Counter = 4;\\n if (current.contains(\\\"$\\\") && current2Lower.equals(\\\"million\\\") || current.contains(\\\"$\\\") && current2Lower.equals(\\\"billion\\\") ||\\n current.contains(\\\"$\\\") && current2Lower.equals(\\\"trillion\\\") || current.contains(\\\"$\\\") && current2Lower.equals(\\\"thousand\\\"))\\n add2Counter++;\\n }\\n }\\n if(current.contains(\\\"$\\\") || current.toLowerCase().contains(\\\"dollars\\\"))\\n add2Counter++;\\n return add2Counter;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c0803b1627404aca98eaee2ecf44fb67\",\n \"score\": \"0.53039813\",\n \"text\": \"public static String percentCorrect(int score, Quiz quiz) {\\n\\t\\tfloat pct = (float) score / quiz.possiblePoints();\\n\\t\\treturn \\\"\\\" + (int) (pct * 100) + \\\"%\\\";\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8bd9eac255d3874960302fb09598cafd\",\n \"score\": \"0.5296952\",\n \"text\": \"private String getPercentStr(int percent){\\n String s = \\\"\\\" + percent;\\n if (s.length() == 1) return \\\" \\\" + s + \\\"%\\\";\\n else if (s.length() == 2) return \\\" \\\" + s + \\\"%\\\";\\n else return s + \\\"%\\\";\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d3dbbdbfd14d26962a9eed89de97fb9b\",\n \"score\": \"0.52951074\",\n \"text\": \"public static int percentRed(RedBlackBST tree){\\r\\n \\tif(tree.isEmpty()){\\r\\n \\t\\treturn -1;\\r\\n \\t}else{\\r\\n \\t\\tint percent = (int) Math.round(tree.numRed*100/tree.size());\\r\\n \\t\\treturn percent;\\r\\n \\t}\\r\\n \\t\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b412a18b79da2a09f1abe0a31850d79a\",\n \"score\": \"0.5284565\",\n \"text\": \"private double calculaValorVendaPorPercentLucro(double vlCusto, double percentLucro) {\\n return ((vlCusto * percentLucro) / 100) + vlCusto ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99ad18f522fa9f428b87e97ec4913617\",\n \"score\": \"0.5277464\",\n \"text\": \"private static long calculatePercentOfMemory(String value, int percentPhraseLength) {\\n String realValue = value.substring(0, value.length() - percentPhraseLength);\\n double percent = Double.parseDouble(realValue) / 100;\\n long result = (long) (percent * ManagementFactory.getMemoryMXBean().getHeapMemoryUsage().getMax());\\n return result;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"81c7ffa7c964658dc0cc9d6fbb39ba2a\",\n \"score\": \"0.5267919\",\n \"text\": \"protected double roundHundredth(double n){\\n return Math.round(n*100)/100;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"64459adab332ff87898fd86eb3f1225f\",\n \"score\": \"0.52565295\",\n \"text\": \"public static void calculate(int value) {\\n\\t\\tvalue = value * 100;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d4b9be692c2e262008a488212e6e453a\",\n \"score\": \"0.5255474\",\n \"text\": \"float getValueLinePart1OffsetPercentage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"22bbf3a81f8e4291152e4353da4be6db\",\n \"score\": \"0.52531207\",\n \"text\": \"private float calcVolume(int percent) {\\n\\t\\treturn (1.0f - (float)(Math.log(100-percent)/Math.log(100)));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8aa85b98a1d82711a43a39654acc77a5\",\n \"score\": \"0.5251049\",\n \"text\": \"public Integer getPercent() {\\n return percent;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5ec3be89e8223834f9d3a73ab3ed0983\",\n \"score\": \"0.524283\",\n \"text\": \"private int calculatePercent(boolean one, boolean two, boolean three, boolean five,\\n String jordanNumber, String typeOfFoul, String docName,\\n String nickName)\\n {\\n if(one && two && three && !five)\\n {\\n point += 1;\\n }\\n else\\n {\\n point += 0;\\n }\\n\\n if (jordanNumber.equals(\\\"True\\\"))\\n {\\n point += 1;\\n }\\n else\\n {\\n point += 0;\\n }\\n\\n if (typeOfFoul.equals(\\\"Technical Foul\\\"))\\n {\\n point += 1;\\n }\\n else\\n {\\n point += 0;\\n }\\n\\n if (docName.equals(\\\"julius erving\\\"))\\n {\\n point += 1;\\n }\\n else\\n {\\n point += 0;\\n }\\n\\n if (nickName.equals(\\\"the answer\\\"))\\n {\\n point += 1;\\n }\\n else\\n {\\n point += 0;\\n }\\n return (int)(((double)point/5) * 100);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a662be283a64a1b661c235864c1f45c0\",\n \"score\": \"0.5222959\",\n \"text\": \"private int percentageTerm(String nextT, String token, HashMap dicDoc) {\\n if (token == null || token.length() <= 0)\\n return -1;\\n //cases like 6%\\n if (token.charAt(token.length() - 1) == '%') {\\n //substring from number% to number (6% to 6)\\n String checkIfNumber = token.substring(0, token.length() - 1);\\n //if before the '%' char there is only digits and docs add to the dictionary the whole token.\\n if (checkIfOnlyDigitsDotsComma(checkIfNumber)) {\\n addToDicDoc(dicDoc, token);\\n return 0;\\n }\\n }\\n //cases like \\\"6 percent\\\", \\\"6 percentage\\\"\\n else if (nextT != null && nextT != \\\"\\\" && (nextT.equals(\\\"percent\\\") || nextT.equals(\\\"percentage\\\"))) {\\n //if before the percent/percentage there is only digits and docs add to the dictionary the whole token combine with '%'.\\n\\n if (checkIfOnlyDigitsDotsComma(token)) {\\n addToDicDoc(dicDoc, token + '%');\\n return 1;\\n }\\n }\\n return -1;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3a7b6feef305106e2777e567dfc87843\",\n \"score\": \"0.5222406\",\n \"text\": \"public float translateImagePixelToPercent(int imagePixel, int imageAxisSize){\\n\\n return (float) imagePixel / imageAxisSize;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d5382d7571c5178e60fb45be6d4d701f\",\n \"score\": \"0.5217987\",\n \"text\": \"BigDecimal getTaxPercentage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f0b4ae5515113b09d7b0e98395e5dfe1\",\n \"score\": \"0.5215805\",\n \"text\": \"public static void percentage(Double value, String message) {\\n\\t\\tif(!validation) return;\\n\\t\\tinclusiveBetween(0.0, 100.0, value, message);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2b080fe2a2ad92a9a8a1f3c0fda37027\",\n \"score\": \"0.521391\",\n \"text\": \"private int cents() \\n {\\n return totalCents % 100;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ca29105439581d38c88a4b7a2ae703c8\",\n \"score\": \"0.51865697\",\n \"text\": \"public double getPerRate(double intRate){\\r\\n perRate = (intRate * 100);\\r\\n return perRate;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e34536bfc5727c5da414ef287bdbea1\",\n \"score\": \"0.5184407\",\n \"text\": \"public int calculateGemCostForPercentageOfResource(User u, double percentage, int maxStorage) {\\n\\t\\treturn 1000000;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"480132f71e0c391807877c0d7d276b5c\",\n \"score\": \"0.51742846\",\n \"text\": \"public float getPercentage() {\\n return percentage;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6f4ac38127d021d038cac8684903e6f3\",\n \"score\": \"0.51707065\",\n \"text\": \"public static float mpgToKPL(final float mpg) {\\n float gallonToLiter = 4.54609188f;\\n float mileToKilometer = 1.609344f;\\n return Math.round(mpg * mileToKilometer / gallonToLiter * 100) / (float) 100;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2f2abb01d6989e7d9858294debee00d6\",\n \"score\": \"0.5162865\",\n \"text\": \"@Override\\r\\n public int getPayRaisePercent( Employee employee ) {\\r\\n \\r\\n System.out.print(\\\"Bejöttem fixen : \\\");\\r\\n System.out.println( this.cfgProp.getSalary().getDeflt().getFixszazalek() + \\\" %\\\" );\\r\\n \\r\\n return (Integer) this.cfgProp.getSalary().getDeflt().getFixszazalek().intValue() ;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"323f167ef36cd6eec6dfac97bbd1390a\",\n \"score\": \"0.51600474\",\n \"text\": \"public void setPercent(Integer percent) {\\n this.percent = percent;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10e2a018e89e191ec34513a57d738215\",\n \"score\": \"0.5159556\",\n \"text\": \"private double percentageToAngle(double percentage) {\\n return 360.0 * percentage;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0fd6aed13f2067fdef930dd78a192fa8\",\n \"score\": \"0.51539487\",\n \"text\": \"public static Double percentage(String value, String message) {\\n\\t\\tDouble doubleValue = notNegativeDouble(value);\\n\\t\\tValidate.inclusiveBetween(0.0, 100.0, doubleValue, message);\\n\\t\\treturn doubleValue;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"da308124b09977ce85230caaad07b891\",\n \"score\": \"0.51511234\",\n \"text\": \"private static long parseBytePercentValue(String value) throws PSQLException {\\n long result = -1;\\n int length;\\n\\n if (!value.isEmpty()) {\\n length = getPercentPhraseLengthIfContains(value);\\n\\n if (length == -1) {\\n throwExceptionAboutParsingError(\\n \\\"Received MaxResultBuffer parameter can't be parsed. Value received to parse: {0}\\\",\\n value);\\n }\\n\\n result = calculatePercentOfMemory(value, length);\\n }\\n return result;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c4901f0eaf195bfcc2e1fca1df22818c\",\n \"score\": \"0.514928\",\n \"text\": \"private int memNeeded(int percentage) {\\n return (totalmem * percentage / 100 - occupiedmem) / totalProcesses;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ffe69ff02e72b3b8f608421fb7905aff\",\n \"score\": \"0.51382786\",\n \"text\": \"private void normalize(int value)\\r\\n {\\r\\n cp.setNumber(value % 10); // Get the cp leftovers\\r\\n value /= 10; // Convert into sp\\r\\n \\r\\n sp.setNumber(value % 10); // Get the sp leftovers\\r\\n value /= 10; // Convert into gp\\r\\n \\r\\n gp.setNumber(value % 10); // Get the gp leftovers\\r\\n value /= 10; // Convert into pp\\r\\n \\r\\n pp.setNumber(value); // No more higher piece value\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0dcdc990dcac6746d3a7393689aa53ec\",\n \"score\": \"0.5137341\",\n \"text\": \"public char getPercent ()\\n {\\n return percent;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0403cfdcfbabd58e2e35f49eaf80e95\",\n \"score\": \"0.5120593\",\n \"text\": \"private static String isPercentage (int idx, String[] text, String word){\\r\\n String valueToReturn = \\\"\\\";\\r\\n try {\\r\\n if (word.contains(\\\"%\\\")){\\r\\n valueToReturn = word;\\r\\n if (word.charAt(0) == '%'){\\r\\n valueToReturn = null;\\r\\n }\\r\\n }\\r\\n else if (idx + 1 < text.length){// case of percent/percentage after a number\\r\\n String nextWord = removePeriod(text[idx + 1].toLowerCase());\\r\\n\\r\\n if (\\\"percent\\\".equals(nextWord) || \\\"percentage\\\".equals(nextWord)) {\\r\\n valueToReturn = word + \\\"%\\\";\\r\\n }\\r\\n }\\r\\n\\r\\n }catch (NumberFormatException e){\\r\\n e.printStackTrace();\\r\\n System.out.println(\\\"Error: given string is not a number (float)\\\");\\r\\n }catch (Exception e){\\r\\n e.printStackTrace();\\r\\n System.out.println(\\\"Error: unknown error\\\");\\r\\n }\\r\\n\\r\\n return valueToReturn;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6cee25f4d5ca16d33c28884586dc617\",\n \"score\": \"0.5120567\",\n \"text\": \"public void setPercentages(int value) {\\r\\n this.percentages = value;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"658483d3ab83e1e716280db375c7ae34\",\n \"score\": \"0.5119875\",\n \"text\": \"public int rangePercentageToAbsolute(double percentage){\\r\\n\\t\\tint downLimit = robot.preferences.getInt(\\\"limitGripperRotateDown\\\", 4096);\\r\\n\\t\\tint upLimit = robot.preferences.getInt(\\\"limitGripperRotateUp\\\", 0);\\r\\n\\t\\treturn (int) Math.round(downLimit + ((upLimit - downLimit) * percentage));\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1507a463ad9937a6aae49917b0071da6\",\n \"score\": \"0.51116097\",\n \"text\": \"public void setPercent (char percent)\\n {\\n this.percent = percent;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db2ba62c480c567f191330ad5ea91415\",\n \"score\": \"0.51095325\",\n \"text\": \"public io.envoyproxy.envoy.type.v3.FractionalPercentOrBuilder getPercentageOrBuilder() {\\n if (percentageBuilder_ != null) {\\n return percentageBuilder_.getMessageOrBuilder();\\n } else {\\n return percentage_ == null ?\\n io.envoyproxy.envoy.type.v3.FractionalPercent.getDefaultInstance() : percentage_;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"26299ca0e2a8f45f168aea389275ec45\",\n \"score\": \"0.5103649\",\n \"text\": \"public float getPercentageOfPubData() {\\r\\n\\t\\tif (Data == 0)\\r\\n\\t\\t\\treturn 0; // zero is returned instead of NaN\\r\\n\\t\\t// return Float.NaN;\\r\\n\\t\\telse{\\r\\n\\t\\t\\tfloat temp;\\r\\n\\t\\t\\ttemp = (((float) pubData) / Data) * 100;\\r\\n\\t\\t\\t// SciDesktop Modification TA_R001\\t--- calls getnormalization \\r\\n\\t\\t\\treturn getNormalized(temp);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d899c4760628f96fd50b70a9a4b060a0\",\n \"score\": \"0.50962174\",\n \"text\": \"public boolean setPropertyUpdateTotalPercentage(long aValue);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7a0d0f6b7c77ce5ffd97600916aeaa93\",\n \"score\": \"0.509597\",\n \"text\": \"public int converter(int a, int b) {\\r\\n return (a / b) + (a * 30) - 2;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"709ed944dfe08e319240905100a7c38c\",\n \"score\": \"0.50834405\",\n \"text\": \"public IString percentDecode(IString s) {\\n\\t\\tByteBuffer bytes = ByteBuffer.allocate(s.length());\\n\\t\\tfor(int i = 0; i < s.length(); i++) {\\n\\t\\t\\tint c = s.charAt(i);\\n\\t\\t\\tif(c == '%') {\\n\\t\\t\\t\\tSystem.out.println(Integer.valueOf(s.substring(i+1, i+3).getValue(), 16).byteValue());\\n\\t\\t\\t\\tbytes.put(Integer.valueOf(s.substring(i+1, i+3).getValue(), 16).byteValue());\\n\\t\\t\\t\\ti += 2;\\n\\t\\t\\t}\\n\\t\\t\\telse if (c < 256) {\\n\\t\\t\\t\\tbytes.put((byte)c);\\n\\t\\t\\t}\\n\\t\\t\\telse {\\n\\t\\t\\t\\tthrow new IllegalArgumentException(\\\"Unencoded character in string: \\\" + c);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tbytes.limit(bytes.position());\\n\\t\\tbytes.rewind();\\n\\t\\tint[] array = StandardCharsets.UTF_8.decode(bytes).codePoints().toArray();\\n\\t\\treturn values.string(array);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12b681a7684a753ac60acf704c6aa4fa\",\n \"score\": \"0.50645137\",\n \"text\": \"public static double getPercent(Player player, String string) {\\n string = string.substring(0, string.length() - 1);\\n double percent;\\n\\n try {\\n percent = Double.parseDouble(string);\\n if (percent < 0)\\n if (player != null)\\n player.sendMessage(\\\"The percent cannot be below 0\\\");\\n if (percent > 100) {\\n if (player != null)\\n player.sendMessage(\\\"The percent cannot be above 100\\\");\\n }\\n else\\n return percent;\\n }\\n catch (Exception notDouble) {\\n if (player != null)\\n player.sendMessage(string+\\\" is not a valid number\\\");\\n }\\n \\n return -1;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"28b28d712f5fe9e5a3aad3140955badb\",\n \"score\": \"0.50582653\",\n \"text\": \"public static FrequencyEnum fromPercent(int percentage) {\\n\\n if (percentage >= 1 && percentage <= 100) {\\n int currentPercentage = 0;\\n for (FrequencyEnum frequency : FrequencyEnum.values()) {\\n currentPercentage += frequency.percent;\\n if (percentage <= currentPercentage) {\\n return frequency;\\n }\\n }\\n }\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"83b9fe3ccc18ffcc7d04c3d7d6ac65ed\",\n \"score\": \"0.50447625\",\n \"text\": \"private static int getPercentPhraseLengthIfContains(String valueToCheck) {\\n int result = -1;\\n for (String phrase : PERCENT_PHRASES) {\\n int indx = getPhraseLengthIfContains(valueToCheck, phrase);\\n if (indx != -1) {\\n result = indx;\\n }\\n }\\n return result;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"51979717fb4756e934c71154fba6410f\",\n \"score\": \"0.5044177\",\n \"text\": \"private boolean getAndCheckPercentage() { \\r\\n percentage = (int) IJ.getNumber(\\\"Please enter the percentage (between 0 and 49). If 0 is entered, linear contrast modification will be used: \\\", PERCENTAGE_DEFAULT);\\r\\n \\r\\n if(percentage > 0 && percentage <= 49) {\\r\\n \\treturn true;\\r\\n } else {\\r\\n \\t\\tIJ.showMessage(\\\"Error\\\", \\\"The percentage value was out of bounds!\\\\nNow linear modification will be used\\\"); \\r\\n \\treturn false;\\r\\n }\\t \\t\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cb9f73e7f8f588c27606328eca4b8562\",\n \"score\": \"0.50404006\",\n \"text\": \"@java.lang.Override\\n public float getPercentEncoded() {\\n return percentEncoded_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ccc7e9c0fe2f58ba801f803a48a9df34\",\n \"score\": \"0.50395954\",\n \"text\": \"private int dollars()\\n {\\n return totalCents / 100;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992485,"cells":{"query_id":{"kind":"string","value":"23b559fd076cd63bdd948a69d4785f4c"},"query":{"kind":"string","value":"Constructs a new world rumbler the will rumble 'camera' when called upon"},"positive_passages":{"kind":"list like","value":[{"docid":"d0595be5df13837036624e3fd471bf3c","score":"0.7962702","text":"public WorldRumbler(OrthographicCamera camera) {\n\t\tthis.camera = camera;\n\t\trandom = new Random();\n\t}","title":""}],"string":"[\n {\n \"docid\": \"d0595be5df13837036624e3fd471bf3c\",\n \"score\": \"0.7962702\",\n \"text\": \"public WorldRumbler(OrthographicCamera camera) {\\n\\t\\tthis.camera = camera;\\n\\t\\trandom = new Random();\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"871528cf4b87144eaf7071cdd8a76404","score":"0.6545384","text":"World createWorld();","title":""},{"docid":"4ed73fffc480b1b0d5b79abd7630c1f9","score":"0.6404444","text":"private Level bgWorldSetup() {\n float w = Gdx.graphics.getWidth();\n float h = Gdx.graphics.getHeight();\n\n camera = new OrthographicCamera();\n camera.setToOrtho(false, (w / h) * 10, 10);\n camera.zoom = 2f;\n camera.update();\n\n Random rand = new Random();\n // Locations.Location data = InvokenGame.LOCATION_READER.readAsset(\"WelcomeCenter\");\n LocationGenerator generator = new LocationGenerator(new GameTransition(dummyHandler,\n getSkin()), GameScreen.getBiome(), rand.nextLong());\n Level level = generator.generate();\n Player player = level.createDummyPlayer();\n\n // init camera position\n Vector2 position = player.getCamera().getPosition();\n camera.position.x = level.scale(position.x, camera.zoom);\n camera.position.y = level.scale(position.y, camera.zoom);\n level.setCamera(camera);\n return level;\n }","title":""},{"docid":"4e757ba932e1f936524f9e0b7766d9e0","score":"0.63506925","text":"public void draw() {\n moonlander.update();\n // Draw something\n // Get values from Rocket using \n // moonlander.getValue(\"track_name\") or\n int r = moonlander.getIntValue(\"r\");\n int g = moonlander.getIntValue(\"g\");\n int b = moonlander.getIntValue(\"b\");\n int stepper = moonlander.getIntValue(\"t\");\n \n randomSeed(stepper);\n \n int state = moonlander.getIntValue(\"state\");\n \n int x = moonlander.getIntValue(\"x\");\n int y = moonlander.getIntValue(\"y\");\n int z = moonlander.getIntValue(\"z\");\n float s = PI * ( moonlander.getIntValue(\"spin\") / 100.0f);\n\n int cDis = moonlander.getIntValue(\"cameraDis\");\n int cSpi = moonlander.getIntValue(\"cameraSpin\");\n\n float cameraAngle = PI * ( ( moonlander.getIntValue(\"angle\") + cSpi ) / 100.0f);\n //camera(mouseX*4- CANVAS_WIDTH + x, mouseY*4- CANVAS_HEIGHT + height/2 + y, (height/2) / tan(PI/6) + z, width/2, height/2, 0, 0, 1, 0);\n //camera( x, height/2 + y, (height/2) / tan(PI/6) + z, width/2, height/2, 0, 0, 1, 0);\n //camera( 0, height/2 , (height/2) / tan(PI/6) , width/2 + x , height/2 + y, z, 0, 1, 0);\n //camera( x, height/2 + y, (height/2) / tan(PI/6) + z, width/2 + x, height/2 + y, z, 0, 1, 0);\n\n //camera( 0, height/2 , (height/2) / tan(PI/6) , width/2, height/2, 0, 0, 1, 0);\n \n //camera( x, y-10, z, x-cameraPOS[1] * cDis, y-10+0.2, z-cameraPOS[0] * cDis, 0, 1, 0);\n float[] CPOS = { x +sin(cameraAngle) * cDis, y-cDis/2, z +cos(cameraAngle) * cDis, };\n \n if ( state > 6 )\n CPOS[1] -= moonlander.getIntValue(\"enemy0\");\n\n camera( CPOS[0], CPOS[1], CPOS[2], x , y, z, 0, 1, 0);\n \n //camera( 0, 100 , 100 , 100, 100, 0, 0, 1, 0);\n \n //println( 0, height/2 , (height/2) / tan(PI/6) , width/2, height/2, 0, 0, 1, 0 );\n //camera( x, y, z, x, y, z, 0, 1, 0);\n //camera( 0, height/2 , (height/2) , width/2, height/2, 0, 0, 1, 0);\n\n \n \n background(r,g,b);\n \n \n \n drawMap();\n \n \n player.x = x;\n player.y = y;\n player.z = z;\n player.angle = cameraAngle + s;\n \n switch(state) {\n case 1:\n GobboLogic( gobbo );\n break;\n case 2:\n gobbo.y = moonlander.getIntValue(\"enemy0\");\n gobbo.angle = moonlander.getIntValue(\"enemy2\");\n break;\n case 4:\n plump1.y = moonlander.getIntValue(\"enemy0\");\n break;\n case 5:\n player.img = PCPLUMP;\n break;\n case 8:\n Creatures = Important;\n background(CREDITS);\n break;\n }\n \n HashMap<Integer,Creature> hm = new HashMap<Integer,Creature>();\n for (int i = 0; i < Creatures.length; i++) {\n hm.put( PApplet.parseInt(dist(CPOS[0], CPOS[1], CPOS[2], Creatures[i].x, Creatures[i].y, Creatures[i].z)), Creatures[i]);\n }\n \n int[] sorted = {};\n for(Integer i : hm.keySet())\n sorted = append( sorted, PApplet.parseInt(i) );\n sorted = reverse(sort(sorted));\n \n for (int i = 0; i < sorted.length; i++) {\n int key = sorted[i];\n hm.get(key).update();\n }\n\n //sort(hm.keySet().toArray()); \n //Creatures[i].update();\n\n \n}","title":""},{"docid":"bd635e740816a9d0cdeed5333b585e39","score":"0.6345214","text":"public World() {\n\t\tcreateWorld();\n\t\tDisplay();\n\t}","title":""},{"docid":"0dd0d8a1cfd59025ddf68d7b65609778","score":"0.63329107","text":"public World() {\n\t\t//this.background = background;\n\t\t//this.size = size;\n\t}","title":""},{"docid":"e1a54b60c3cc895a4c7e02239aa2ca34","score":"0.6327052","text":"public void newWorld() {\r\n\t\tw = new World();\r\n\t}","title":""},{"docid":"fa0cc02019f2822529bcc4bbb87b9f22","score":"0.6293834","text":"public RobotWorld()\n { \n super(800, 600, 1); \n addObject(new Robot(), 45, 30);\n addObject(new Wall(), 60, 150);\n addObject(new Wall(), 160, 150);\n addObject(new Wall(), 260, 150);\n addObject(new Block(), 415, 155);\n addObject(new Wall(), 570, 150);\n addObject(new Wall(), 670, 150);\n addObject(new Wall(), 770, 150);\n addObject(new Home(), 770, 560);\n addObject(new ScorePanel(), 70, 560);\n addObject( new Pizza(), Greenfoot.getRandomNumber(800), Greenfoot.getRandomNumber(80));\n addObject( new Pizza(), Greenfoot.getRandomNumber(800), Greenfoot.getRandomNumber(80));\n addObject( new Pizza(), Greenfoot.getRandomNumber(800), Greenfoot.getRandomNumber(600) + 200);\n addObject( new Pizza(), Greenfoot.getRandomNumber(800), Greenfoot.getRandomNumber(600) + 200);\n addObject( new Pizza(), Greenfoot.getRandomNumber(800), Greenfoot.getRandomNumber(600) + 200);\n }","title":""},{"docid":"a5e2132285c253cb40fd539eacc7837b","score":"0.6279761","text":"private void initGame() {\n\t\tworldWidth = 90;\n\t\tworldHeight = 90;\n\t\tblockSize = 10;\n\t\tcameraSpeed = 0.5f;\n\t\tcameraScale = 2;\n\n\t\ttry {\n\t\t\tcamera = new OrthographicCamera(worldWidth * cameraScale, worldHeight * cameraScale);\n\t\t\tEngineLogger.log(\"Camera loaded\");\n\t\t} catch (Exception e) {\n\t\t\tEngineLogger.log(\"CRITICAL ERROR: FAILED TO LOAD CAMERA\");\n\t\t\te.printStackTrace();\n\t\t}\n\n\t\t//world = new World(100, 100, 10, camera, cameraSpeed);\n\t\t//world = new World(\"worldMaps/spawn.txt\", camera, cameraSpeed);\n\t\t//world.spawnPlayer(14,15);\n\t\t//world.spawnMobs(10);\n\t\t\n\n\t\ttry {\n\t\t\tworld = new World(\"worldMaps/testArena.txt\", camera, cameraSpeed);\n\t\t\tworld.spawnPlayer(45,45);\n\t\t\t//world.spawnAnimatedMobs(100);\n\t\t\tEngineLogger.log(\"World loaded\");\n\t\t} catch (Exception e) {\n\t\t\tEngineLogger.log(\"CRITICAL ERROR: FAILED TO LOAD WORLD\");\n\t\t\te.printStackTrace();\n\t\t}\n\n\t\ttry {\n\t\t\trenderEngine = new RenderEngine(world);\n\t\t\tEngineLogger.log(\"Render Engine started\");\n\t\t} catch (Exception e) {\n\t\t\tEngineLogger.log(\"CRITICAL ERROR: FAILED TO START RENDER ENGINE\");\n\t\t\te.printStackTrace();\n\t\t}\n\n\t}","title":""},{"docid":"b4694a3150e491c5a41637675f7dea33","score":"0.62550634","text":"public MyWorld()\n {\n super(600, 400, 1);\n prepare();\n }","title":""},{"docid":"dd392bdc1796e8442a838768e87f4fad","score":"0.62545645","text":"public MyWorld()\n { \n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\n super(600, 400, 1, false);\n \n Platform p1 = new Platform();\n Platform p2 = new Platform();\n Platform p3 = new Platform();\n Platform p4 = new Platform();\n Platform p5 = new Platform();\n \n addObject(p1, 181, 260);\n addObject(p2, 304, 260);\n addObject(p3, 427, 260);\n addObject(p4, 243, 172);\n addObject(p5, 366, 172);\n \n Ladder ladder1 = new Ladder();\n Ladder ladder2 = new Ladder();\n Ladder ladder3 = new Ladder();\n Ladder ladder4 = new Ladder();\n Ladder ladder5 = new Ladder();\n \n addObject(ladder1, 126, 294);\n addObject(ladder2, 301, 294);\n addObject(ladder3, 478, 294);\n addObject(ladder4, 225, 207);\n addObject(ladder5, 377, 207);\n \n // add Mario\n Mario mario = new Mario(\"marioSheet2.png\", 16, 40, 48);\n addObject(mario, 40, 314);\n mario.show();\n \n // add coin\n Coin coin = new Coin(\"coinSheet7x32x32.png\", 7, 32, 32);\n addObject(coin, 300, 214);\n coin.show();\n \n }","title":""},{"docid":"af269da86e17024a96c185987ac45685","score":"0.624473","text":"public GumballWorld()\n { \n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\n super(900, 800, 1); \n prepare();\n }","title":""},{"docid":"946398f62b7f15f7f4fd2c79af41204f","score":"0.62037635","text":"public WorldManager() {\n }","title":""},{"docid":"1e70f14d806be45242fbaee5eb396435","score":"0.6185324","text":"private static World initialiseWorld(){\n\t\tWorld world = new World(new Display());\n\n\t\tFancyGroundFactory groundFactory = new FancyGroundFactory(new Dirt(), new Wall(), new Floor(), new Tree(),\n\t\t\t\tnew VendingMachine(), new Water());\n\n\t\tList<String> map = Arrays.asList(\n\t\t\t\t\"................................................................................\",\n\t\t\t\t\"....................~~..........................................................\",\n\t\t\t\t\".....#######.......~~~~...............................~~~~~~....................\",\n\t\t\t\t\".....#____V#........~~~.................................~~~~~...................\",\n\t\t\t\t\".....#_____#.............................................~~~....................\",\n\t\t\t\t\".....###.###....................................................................\",\n\t\t\t\t\"................................................................................\",\n\t\t\t\t\"......................................+++.......................................\",\n\t\t\t\t\".......................................++++.....................................\",\n\t\t\t\t\"...................................+++++........................................\",\n\t\t\t\t\".....................................++++++.....................................\",\n\t\t\t\t\"......................................+++.......................................\",\n\t\t\t\t\".....................................+++........................................\",\n\t\t\t\t\"................................................................................\",\n\t\t\t\t\"............+++.................................................................\",\n\t\t\t\t\".............+++++.............~~~..............................................\",\n\t\t\t\t\"...............++...........~~~~~~~~.....................+++++..................\",\n\t\t\t\t\".............+++..........~~~~~~~~~~~...............++++++++....................\",\n\t\t\t\t\"............+++..............~~~~~~~~.................+++.......................\",\n\t\t\t\t\"................................~~~~............................................\",\n\t\t\t\t\".........................................................................++.....\",\n\t\t\t\t\"........................................................................++.++...\",\n\t\t\t\t\".........................................................................++++...\",\n\t\t\t\t\"..........................................................................++....\",\n\t\t\t\t\"................................................................................\");\n\t\tGameMap gameMap = new GameMap(groundFactory, map );\n\t\tworld.addGameMap(gameMap);\n\n\t\t//Adding the second GameMap\n\t\t//The second GameMap will be constructed in a different way to the initial GameMap\n\t\t//However, the second GameMap will still have the same size as the initial\n\t\t//Added to the world.\n\t\tGameMap gameMap2 = new GameMap(groundFactory, '.', 80, 25);\n\t\tworld.addGameMap(gameMap2);\n\n\t\tActor player = new Player(\"Player\", '@', 100);\n\t\tworld.addPlayer(player, gameMap.at(8, 4));\n\n\t\t// Place a pair of stegosaurs in the middle of the map\n\t\tgameMap.at(30, 12).addActor(new Stegosaur());\n\t\tgameMap.at(32, 12).addActor(new Stegosaur());\n\t\tgameMap.at(32,13).addActor(new Allosaur());\n\t\tgameMap.at(33,12).addActor(new Allosaur());\n\n\t\t//This section will add exits to the initial GameMap, allowing the player to traverse the second GameMap smoothly.\n\t\t//Checks are in place to make sure that the Player cannot make an invalid move.\n\t\tNumberRange widths = gameMap.getXRange();\n\t\tfor (int x : widths){\n\t\t\tgameMap.at(x,0).addExit(new Exit(\"North\", gameMap2.at(x,24), \"8\"));\n\t\t\tif (x != 0){\n\t\t\t\tgameMap.at(x-1, 0).addExit(new Exit(\"North West\", gameMap2.at(x-1, 24), \"7\"));\n\t\t\t}\n\t\t\tif (x != 79){\n\t\t\t\tgameMap.at(x+1, 0).addExit(new Exit(\"North East\", gameMap2.at(x+1, 24), \"9\"));\n\t\t\t}\n\t\t}\n\n\t\t//This section will add exits to the second GameMap, allowing the player tp traverse from second to initial GameMap smoothly.\n\t\t//Checks are in place to make sure that the Player cannot make an invalid move.\n\t\tNumberRange widths2 = gameMap2.getXRange();\n\t\tfor (int x2 : widths2){\n\t\t\tgameMap2.at(x2, 24).addExit(new Exit(\"South\", gameMap.at(x2, 0),\"2\"));\n\t\t\tif (x2 != 0){\n\t\t\t\tgameMap2.at(x2-1, 24).addExit(new Exit(\"South West\",gameMap.at(x2-1, 0), \"1\"));\n\t\t\t}\n\t\t\tif (x2 != 79){\n\t\t\t\tgameMap2.at(x2+1, 24).addExit(new Exit(\"South East\", gameMap.at(x2+1, 0), \"3\"));\n\t\t\t}\n\t\t}\n\n\n\t\tPlayer.resetPlayer();\n\n\t\treturn world;\n\t}","title":""},{"docid":"03b2704399a619cfeea36bfc9947cda8","score":"0.61115175","text":"WorldPipelet(){\n\t\tinit();\n\t}","title":""},{"docid":"40281b81df807261c4326ed69c60df40","score":"0.61014867","text":"World getWorld();","title":""},{"docid":"4749cf7b361108d0ad58235001a5cde5","score":"0.60928816","text":"protected WorldController() {\n\t\tworld = new World(new Vector2(0,DEFAULT_GRAVITY),false);\n\t\tjsonReader = new JsonReader();\n\t\tlevel = new LevelModel();\n\t\tcomplete = false;\n\t\tfailed = false;\n\t\tdebug = false;\n\t\tactive = false;\n\t\tcountdown = -1;\n\n\t}","title":""},{"docid":"09f57440e47c1639b580db8086845470","score":"0.6049524","text":"public World6(){\r\n this(0, 0, 0, 6);\r\n }","title":""},{"docid":"2725849f836994fb01d37279b5aba33e","score":"0.60473675","text":"public Main(World world) {\r\n this.world = world;\r\n }","title":""},{"docid":"4cb2036c8240481800a9e6f4e4a9f44e","score":"0.59969026","text":"public CubeWorld()\n { \n super(WORLD_WIDTH, WORLD_HEIGHT, 1);\n \n Controller controller = new Controller(WORLD_WIDTH, WORLD_HEIGHT);\n addObject(controller, WORLD_WIDTH / 2, WORLD_HEIGHT / 2);\n }","title":""},{"docid":"9cfd01b2ec4fe2a6f2093a905e429041","score":"0.598157","text":"Game() {\n MASTER_R = new MasterRenderer();\n\n\n initTerrains(0, 1);\n TERRAIN = H.getFirst(TERRAINS);\n\n\n final PlayerTexturedModel person = new PlayerTexturedModel(\"playerTexture\", \"person\");\n // PLAYER = new PlayerEntity(person, H.v3(153, 5, -274), H.v3(0, 100,\n // 0), 0.6f);\n PLAYER = new PlayerEntity(person, H.v3(153, 5, -274), 0.6f);\n CAMERA = new Camera(PLAYER);\n MOUSE_PICKER = new MousePicker(CAMERA, MASTER_R.getProjectionMatrix(), TERRAIN);\n\n\n initWaters();\n\n final int maxNumEntities = 10;\n final float sizeFactor = 5f;\n initEntities(maxNumEntities, sizeFactor);\n\n final EnvironmentalTexturedModel lamp = new EnvironmentalTexturedModel(\"lamp\", \"lamp\");\n addEnvEnt(lamp, H.v3(185, -4.7f, -293));\n addEnvEnt(lamp, H.v3(370, 4.2f, -300));\n MOVEABLE_LAMP = new EnvironmentalEntity(lamp, H.v3(293, -6.8f, -305));\n addEnvEnt(MOVEABLE_LAMP);\n\n\n initLights();\n SUN = H.getFirst(LIGHTS);\n MOVEABLE_LAMP_LIGHT = H.getLast(LIGHTS);\n\n initGuiTextures();\n }","title":""},{"docid":"a7cee45f81bb2c8912ba0b53648d9228","score":"0.5959061","text":"public void initWorld() {\r\n\r\n }","title":""},{"docid":"0edda493872f68b151b0b27295056090","score":"0.59515464","text":"public MyWorld()\n { \n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\n super(700, 500, 1);\n brickSpawn();\n populate();\n }","title":""},{"docid":"0e748eff12ae55c4b9b84e9515cbbd69","score":"0.59216404","text":"public BreakoutWorld()\n {\n super (WIDTH, HEIGHT, RESOLUTION,false);\n setUpBreakout();\n prepare();\n }","title":""},{"docid":"4fb34d9e51988bff0beb06d6b8d54699","score":"0.5875148","text":"public MyWorld()\r\n { \r\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\r\n super(600, 400, 1); \r\n prepare();\r\n }","title":""},{"docid":"2c3a5c0aa91e06803e6f77592144488c","score":"0.5852291","text":"public MyWorld()\n { \n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\n super(1000, 650, 1); \n prepare();\n }","title":""},{"docid":"6bb7b2f9f56f10cda8fe9f14748d214a","score":"0.58427197","text":"public world()\n { \n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\n super(1200, 700, 1);\n BaseDeCuracion bc = new BaseDeCuracion();\n addObject(bc, 580, 280);\n Cementerio c = new Cementerio();\n addObject(c, 0, 0);\n generarTerran();\n generarProtos();\n\n }","title":""},{"docid":"05e776995bdb36099c31172425f485ff","score":"0.5821184","text":"public WorldScene makeScene() {\r\n WorldImage gameImage = new AboveImage(this.drawBoard(), this.drawScore(), this.drawTime(),\r\n this.drawMusic());\r\n gameImage = new BesideImage(gameImage, this.drawHealthBar());\r\n WorldScene ws = new WorldScene((int) gameImage.getWidth(), (int) gameImage.getHeight());\r\n ws.placeImageXY(gameImage, (int) gameImage.getWidth() / 2, (int) gameImage.getHeight() / 2);\r\n return ws;\r\n }","title":""},{"docid":"5aa43a42b015789843ac69766bfaa810","score":"0.58186895","text":"public GameState(Handler handler){\r\n super(handler);\r\n world = new World(handler,\"res/worlds/worlds2.txt\");\r\n handler.setWorld(world);\r\n }","title":""},{"docid":"3aead8c2d87dbd05568a91a20266552b","score":"0.5816534","text":"WorldRef getWorldRef();","title":""},{"docid":"250d4fe9fe86c1352e0767cdfbbc0363","score":"0.5813312","text":"public TLDInnerWorld() {\r\n\t\tsuper();\r\n\t\tthis.floor = new HashMap<Point, VATileStatus>();\r\n\t}","title":""},{"docid":"ff8f40f3c739f651554776aca4aa2a00","score":"0.58066434","text":"public SmartWorld () {\r\n\t\tsuper();\r\n\t}","title":""},{"docid":"b0a088a27fc786d1d1b1e83f98bd7de3","score":"0.5802153","text":"private VoxelEngine(){\n chunks = new ArrayList<>();\n camera = new CameraController( 10, -90, -30);\n }","title":""},{"docid":"94fc65a706a8175102325ebd260f0309","score":"0.5789934","text":"private void loadWorld() {\r\n\r\n\t}","title":""},{"docid":"2eac338f2e3af956fefb36893d072444","score":"0.5774266","text":"private static World createVoidWorld() {\r\n\t\tDefaultTerrainChangeListener defaultTerrainChangeListener = new DefaultTerrainChangeListener();\r\n\t\tint size = 5;\r\n\t\tCube[][][] worldCubes = new Cube[size][size][size];\r\n\t\tfor (int xIndex = 0; xIndex<worldCubes.length; xIndex++) {\r\n\t\t\tfor (int yIndex = 0; yIndex<worldCubes[0].length; yIndex++) {\r\n\t\t\t\tfor (int zIndex = 0; zIndex<worldCubes[0][0].length; zIndex++) {\r\n\t\t\t\t\tint[] position = {xIndex, yIndex, zIndex};\r\n\t\t\t\t\tCube cube = new Cube(position, CubeType.AIR);\r\n\t\t\t\t\tworldCubes[xIndex][yIndex][zIndex] = cube;\r\n\t\t\t\t}\t\r\n\t\t\t}\t\r\n\t\t}\r\n\t\r\n\t\t\tWorld voidWorld = new World(worldCubes, defaultTerrainChangeListener);\r\n\t\t\treturn voidWorld;\r\n\t\t}","title":""},{"docid":"d17a51a04e8ed15fd570ac1537327b99","score":"0.5746907","text":"public Level2()\n { \n\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\n super(800, 600, 1); \n prepare();\n\n }","title":""},{"docid":"4a1b90aae6b93360ec3a0a82ad819fd2","score":"0.57459927","text":"public GameWorld(GameUI gameUI) {\n Bullet.init();\n setDebug();\n// initEnvironment();\n// initModelBatch();\n// initPersCamera();\n addSystems(gameUI);\n addEntities();\n }","title":""},{"docid":"fc9e968da3767669f9651d6045c1680d","score":"0.5736247","text":"public MyWorld()\n { \n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\n super(1000, 800, 1);\n time = 2000;\n showTime();\n prepare();\n }","title":""},{"docid":"20a5eb8007ea38eb275a4345f7ee6dc9","score":"0.5728451","text":"public abstract World getWorld();","title":""},{"docid":"b9604ea98ebbc39fc3e561e52b93d51e","score":"0.5727314","text":"public KaraWorld01()\n {\n // Create the new world\n super(WORLD_WIDTH, WORLD_HEIGHT, CELL_SIZE);\n\n setPaintOrder(Kara01.class, Tree.class, Mushroom.class, Leaf.class);\n Greenfoot.setSpeed(40);\n\n // Initialize actors\n prepare();\n }","title":""},{"docid":"0e72817be9b1db3800c3f468cec64cb0","score":"0.5687359","text":"private void createWorld() {\r\n\t\tfinal Random r = new Random();\r\n\t\tint row = r.nextInt(this.height);\r\n\t\twhile (row % 2 == 0) {\r\n\t\t\trow = r.nextInt(this.height);\r\n\t\t}\r\n\r\n\t\tint column = r.nextInt(this.width);\r\n\t\twhile (column % 2 == 0) {\r\n\t\t\tcolumn = r.nextInt(this.width);\r\n\t\t}\r\n\t\tthis.world[row][column].setPassable(true);\r\n\t\trecursiveCreateWorld(row, column);\r\n\t}","title":""},{"docid":"f73e4a2fd6218253e0c708d2f7a71163","score":"0.56793225","text":"public World(String name, int dimensionX, int dimensionY,\r\n\t\t\tArrayList<Reciepe> reciepes, ArrayList<Tile> tiles,\r\n\t\t\tArrayList<Unit> units, ArrayList<Ressource> ressources,\r\n\t\t\tArrayList<Player> players, ArrayList<Team> teams,\r\n\t\t\tArrayList<Trigger> triggers)\r\n\t{\r\n\t\tthis.name = name;\r\n\t\tthis.dimensionX = dimensionX;\r\n\t\tthis.dimensionY = dimensionY;\r\n\t\tthis.reciepes = reciepes;\r\n\t\tthis.tiles = tiles;\r\n\t\tthis.units = units;\r\n\t\tthis.ressources = ressources;\r\n\t\tthis.players = players;\r\n\t\tthis.teams = teams;\r\n\t\tthis.triggers = triggers;\r\n\t}","title":""},{"docid":"ea7da3fb3ff7cc8535ee7a6ad0e16de2","score":"0.56616545","text":"@Override\n\tpublic void initialize(URL url, ResourceBundle rb) {\n\t\t//Create base world\n\t\tTeam redTeam = new Team(\"Base team\");\n\t\tTeam blackTeam = new Team(\"Base team\");\n\t\tworld = new World(redTeam, blackTeam);\n\n\t\tcanvas = new Canvas(400,400);\n\t\tgc = canvas.getGraphicsContext2D();\n\n\n\t\tgc.setFill(Color.BROWN);\n\t\tgc.setStroke(Color.BLUE);\n\n\t\tgc.fillRect(0, 0, 390, 390);\n\n\t\t//Experimenting with clicking in the canvas, will be useful for the world editor\n\t\tcanvas.setOnMouseClicked(new EventHandler<MouseEvent>(){\n\t\t\t@Override\n\t\t\tpublic void handle(MouseEvent t) {\n\t\t\t\t//Get the worldGrid coordinates\n\t\t\t\tint x = (int)t.getX()/3;\n\t\t\t\tint y = (int)t.getY()/3;\n\t\t\t\tSystem.out.println(\"Testing x \" + x + \" \" + y);\n\n\t\t\t\t//get the selected brush\n\t\t\t\tif (redBrush.isSelected()) {\n\t\t\t\t\t//If the ant hill will be within the world bands\n\t\t\t\t\tif (redPlaced) {\n\t\t\t\t\t\tSystem.out.println(\"redReplaced\");\n\t\t\t\t\t\tclearAnthill(\"red\");\n\t\t\t\t\t}\n\t\t\t\t\tif (x < 119 && x > 1 && y < 124 && y > 5 && isValidHillSpace(y, x)) {\n\t\t\t\t\t\tSystem.out.println(\"Placing red ant hill\");\n\t\t\t\t\t\tworld.generateAntHill(y, x, \"red\"); \n\t\t\t\t\t\tredYCoordinate = y;\n\t\t\t\t\t\tredXCoordinate = x;\n\t\t\t\t\t\t\n\t\t\t\t\t\tredPlaced = true;\n\t\t\t\t\t\t\n\t\t\t\t\t}\n\t\t\t\t} else if (blackBrush.isSelected()) {\n\t\t\t\t\t//If the ant hill will be within the world bands\n\t\t\t\t\tif (blackPlaced) {\n\t\t\t\t\t\tclearAnthill(\"fool\");\n\t\t\t\t\t\tSystem.out.println(\"Cleared\");\n\t\t\t\t\t}\n\t\t\t\t\tif (x < 119 && x > 1 && y < 124 && y > 5 && isValidHillSpace(y, x)) {\n\t\t\t\t\t\tSystem.out.println(isValidHillSpace(y, x));\n\t\t\t\t\t\t// Check not being placed over red ant hill\n\t\t\t\t\t\tif (x > redXCoordinate + 9 && x < redXCoordinate - 9 ) {\n\t\t\t\t\t\t\tSystem.out.println(\"Poo\");\n\t\t\t\t\t\t}\n\t\t\t\t\t\tSystem.out.println(\"Placing black ant hill\");\n\t\t\t\t\t\tworld.generateAntHill(y, x, \"black\"); \n\t\t\t\t\t\tblackPlaced = true;\n\t\t\t\t\t\tblackYCoordinate = y;\n\t\t\t\t\t\tblackXCoordinate = x;\n\t\t\t\t\t}\n\t\t\t\t} else if (rockBrush.isSelected()) {\n\t\t\t\t\tSystem.out.println(\"Placing rock\");\n\t\t\t\t\tswitch (world.worldGrid[y*130+x].getType()) {\n\t\t\t\t\tcase CLEAR:\n\t\t\t\t\t\tworld.worldGrid[y*130+x].setType(ROCKY); \n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\t//Do nothing as a rock can't be placed here\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\t\t\t\t} else if (foodBrush.isSelected()) {\n\n\t\t\t\t\tif (validFoodLocation(y, x)) {\n\t\t\t\t\t\tSystem.out.println(\"Placing food\");\n\t\t\t\t\t\tworld.generateFoodBlocks(y, x);\n\t\t\t\t\t}\n\n\n\n\t\t\t\t} else if (deleteBrush.isSelected()) {\n\t\t\t\t\tSystem.out.println(\"Deleting\");\n\t\t\t\t\tSystem.out.println(\"HERE\");\n\t\t\t\t\t//Initiallise all the cells\n\t\t\t\t\tfor (int i = 0; i < world.worldGrid.length; i++) {\n\t\t\t\t\t\tworld.worldGrid[i].setType(Cell.Type.CLEAR);\n\t\t\t\t\t}\n\n\t\t\t\t\t//Set the outside cells to rocky\n\t\t\t\t\tfor (int i=0; i < 130; i++) {\n\t\t\t\t\t\t//Sets the top line and bottom line\n\t\t\t\t\t\tworld.worldGrid[i].setType(Cell.Type.ROCKY);\n\t\t\t\t\t\tworld.worldGrid[world.worldGrid.length-i-1].setType(Cell.Type.ROCKY);\n\t\t\t\t\t\tworld.worldGrid[i*130].setType(Cell.Type.ROCKY);\n\t\t\t\t\t\tworld.worldGrid[i*130+130-1].setType(Cell.Type.ROCKY);\n\t\t\t\t\t\tworld.worldGrid[16899].setType(Cell.Type.ROCKY);\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tdrawWorld();\n\t\t\t}\n\n\t\t\tprivate void clearAnthill(String team) {\n\t\t\t\t// TODO Auto-generated method stub\n\t\t\t\tint x2;\n\t\t\t\tint y2;\n\t\t\t\tif (team == \"red\") {\n\t\t\t\t\tx2 = redXCoordinate;\n\t\t\t\t\ty2 = redYCoordinate;\n\t\t\t\t} else {\n\t\t\t\t\tx2 = blackXCoordinate;\n\t\t\t\t\ty2 = blackYCoordinate;\n\t\t\t\t}\n\t\t\t\tclearHill(y2, x2);\n\t\t\t}\n\n\t\t\tprivate void clearHill(int x, int y) {\n\t\t\t\t// TODO Auto-generated method stub\n\t\t\t\t//Starting from the cell furthest to the left do one whole line\n\t\t\t\tfor (int i = 0; i < 11; i++) {\n\n\t\t\t\t\tworld.worldGrid[x*130+y+i].setType(Cell.Type.CLEAR);\n\n\t\t\t\t}\n\n\t\t\t\t// Next change the two rows above and below the centre\n\t\t\t\tfor (int i = 0; i < 10; i++) {\n\n\t\t\t\t\tworld.worldGrid[(x+1)*130+y+1+i].setType(Cell.Type.CLEAR);\n\t\t\t\t\tworld.worldGrid[(x-1)*130+y+1+i].setType(Cell.Type.CLEAR);\n\n\t\t\t\t}\n\n\n\t\t\t\t// Next rows inset by one on the right\n\t\t\t\tfor (int i = 0; i < 9; i++) {\n\n\t\t\t\t\tworld.worldGrid[(x+2)*130+y+1+i].setType(Cell.Type.CLEAR);\n\t\t\t\t\tworld.worldGrid[(x-2)*130+y+1+i].setType(Cell.Type.CLEAR);\n\n\t\t\t\t}\n\n\t\t\t\t// Next Row inset by one more on the left none on the right\n\t\t\t\tfor (int i = 0; i < 8; i++) {\n\n\t\t\t\t\tworld.worldGrid[(x+3)*130+y+2+i].setType(Cell.Type.CLEAR);\n\t\t\t\t\tworld.worldGrid[(x-3)*130+y+2+i].setType(Cell.Type.CLEAR);\n\n\t\t\t\t}\n\n\t\t\t\t// Next Row inset by one more on the right and none on the left\n\t\t\t\tfor (int i = 0; i < 7; i++) {\n\t\t\t\t\tworld.worldGrid[(x+4)*130+y+2+i].setType(Cell.Type.CLEAR);\n\t\t\t\t\tworld.worldGrid[(x-4)*130+y+2+i].setType(Cell.Type.CLEAR);\n\t\t\t\t}\n\n\n\t\t\t\t// Next Row inset by one more on the left and none on the right\n\t\t\t\tfor (int i = 0; i < 6; i++) {\n\n\t\t\t\t\tworld.worldGrid[(x+5)*130+y+3+i].setType(Cell.Type.CLEAR);\n\t\t\t\t\tworld.worldGrid[(x-5)*130+y+3+i].setType(Cell.Type.CLEAR);\n\n\t\t\t\t}\n\n\t\t\t};}\n\t\t\t\t);\n\n\t\tcanvasPane.setLeftAnchor(canvas, 50.0);\n\t\tcanvasPane.setTopAnchor(canvas, 0.0);\n\t\tcanvasPane.getChildren().add(canvas);\n\n\t\t//Set the groups for the brush toggle buttons\n\t\tbrushGroup = new ToggleGroup();\n\t\tredBrush.setToggleGroup(brushGroup);\n\t\tblackBrush.setToggleGroup(brushGroup);\n\t\trockBrush.setToggleGroup(brushGroup);\n\t\tfoodBrush.setToggleGroup(brushGroup);\n\t\tdeleteBrush.setToggleGroup(brushGroup);\n\n\t\tdrawWorld();\n\n\n\t}","title":""},{"docid":"919d384a7e5d55822fc536e94185153d","score":"0.56365883","text":"public static void init() {\n // BEGIN AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\n pusherCompressor = new Compressor(0);\n \n \n pushersol = new DoubleSolenoid(0, 0, 1);\n LiveWindow.addActuator(\"pusher\", \"sol\", pushersol);\n \n drivebaserightSide = new Spark(0);\n LiveWindow.addActuator(\"Drivebase\", \"rightSide\", (Spark) drivebaserightSide);\n \n drivebaseleftSide = new Spark(9);\n LiveWindow.addActuator(\"Drivebase\", \"leftSide\", (Spark) drivebaseleftSide);\n \n drivebaseRobotDrive = new RobotDrive(drivebaseleftSide, drivebaserightSide);\n \n drivebaseRobotDrive.setSafetyEnabled(true);\n drivebaseRobotDrive.setExpiration(0.1);\n drivebaseRobotDrive.setSensitivity(0.5);\n drivebaseRobotDrive.setMaxOutput(1.0);\n\n climberSuperman = new Victor(2);\n LiveWindow.addActuator(\"Climber\", \"Superman\", (Victor) climberSuperman);\n \n \n lEDsSpike = new Relay(0, Direction.kBoth );\n \n LiveWindow.addActuator(\"LEDs\", \"Spike\", lEDsSpike);\n \n\n // END AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\n }","title":""},{"docid":"ef0385b80febba4faa9222e08a6065e9","score":"0.5630039","text":"public GameWorldProxy(GameWorld gameWorld) \r\n\t{\r\n\t\tgameWorldReal = gameWorld;\r\n\t}","title":""},{"docid":"4e5d279cc9ee64b7ad603734390582c7","score":"0.56238055","text":"public WorldScene makeScene() {\n WorldScene finalScene = new WorldScene(1200, 800);\n finalScene.placeImageXY(new FromFileImage(\"./background.jpg\"), 600, 400);\n finalScene.placeImageXY(\n new TextImage(Integer.toString(clicks) + \" \", 30, FontStyle.BOLD_ITALIC, \n Color.CYAN), 1000, 450);\n finalScene.placeImageXY(\n new TextImage(\"/ \" + Integer.toString(required), 30, FontStyle.BOLD_ITALIC,\n Color.CYAN), 1030, 450);\n finalScene.placeImageXY(new TextImage(\"FLOOD-IT\", 50, \n FontStyle.BOLD_ITALIC, Color.MAGENTA), 600, 650);\n WorldImage outline = \n new RectangleImage((boardSize + 2) * 20,(boardSize + 2) * 20,\n OutlineMode.SOLID, new Color(42, 64, 99));\n finalScene.placeImageXY(outline, ((boardSize + 2) * 10) + 50, ((boardSize + 2) * 10) + 50);\n finalScene.placeImageXY(new TextImage(\"Time: \" + time / 10 + \"s\", 35,\n FontStyle.BOLD_ITALIC, Color.CYAN), 1020, 600);\n if (clicks >= required\n && (!allFlooded())) {\n finalScene.placeImageXY(new TextImage(\"YOU LOSE\", 25, Color.RED), 1020, 500);\n }\n else if (clicks <= required\n && allFlooded()) {\n finalScene.placeImageXY(new TextImage(\"YOU WIN\", 25, Color.GREEN), 1020, 500);\n }\n for (Cell c: board) {\n finalScene.placeImageXY(c.image(), 80 + 20 * c.x, 80 + 20 * c.y);\n }\n return finalScene;\n }","title":""},{"docid":"1c79d573c457fa112ea190bec1c26a25","score":"0.5619531","text":"public MyWorld()\n { \n \n super(1000, 500, 1);\n setBackground(\"Backgroud 1.png\");\n \n gerar();\n addObject(garota,250,300);\n addObject(batery,900,25);\n \n }","title":""},{"docid":"dfff7eb58c7a01f8561c615569868707","score":"0.5616781","text":"public Level2()\r\n { \r\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\r\n super(600, 600, 1); \r\n Ball b = new Ball ();\r\n Paddle p = new Paddle ();\r\n Point point = new Point();\r\n Lives life = new Lives ();\r\n \r\n addObject (b, getWidth()/2, getHeight()- (getHeight()/5)); //adds the ball\r\n addObject (p, getWidth()/2, getHeight() * 9/10); //adds the paddle\r\n addObject (point, getWidth()*1/5, getHeight()-14);//adds the point counter \r\n addObject (life, getWidth()- (getWidth()*1/12), getHeight()-14);//adds the life counter \r\n for (int n = 1; n < 7; n++){\r\n addObject(new Brick (Greenfoot.getRandomNumber(29)+ \".JPG\"), 100,\r\n 20+ (50*n));\r\n }\r\n \r\n for (int n = 1; n < 6; n++){\r\n addObject(new Brick (Greenfoot.getRandomNumber(29)+ \".JPG\"), 200,\r\n (70*n));\r\n }\r\n \r\n for (int n = 1; n < 6; n++){\r\n addObject(new Brick (Greenfoot.getRandomNumber(29)+ \".JPG\"), 300,\r\n (70*n));\r\n }\r\n \r\n for (int n = 1; n < 6; n++){\r\n addObject(new Brick (Greenfoot.getRandomNumber(29)+ \".JPG\"), 400,\r\n (70*n));\r\n }\r\n \r\n for (int n = 1; n < 6; n++){\r\n addObject(new Brick (Greenfoot.getRandomNumber(29)+ \".JPG\"), 500,\r\n (70*n));\r\n }\r\n \r\n \r\n \r\n }","title":""},{"docid":"b9a96d9a87a0c238d994e715a97d7284","score":"0.5604267","text":"void newCamera()\n\t{\n\t\t_curCamera = new CameraBasic( p, 0, 0, -1500 );\n\t\t_curCamera.reset();\n\t\t\n\t\t_curCamera.setTarget( p.width/2, p.height/2, 0 );\n\n\t}","title":""},{"docid":"501e643cbe2c5670b97b0a57f548c6f3","score":"0.5571412","text":"public void createWorldManually(String[] parameters) {\n world = new World(Integer.parseInt(parameters[0]), Integer.parseInt(parameters[1]),\n Integer.parseInt(parameters[2]), Integer.parseInt(parameters[3]));\n\n try {\n world.loadData();\n } catch (ClassNotFoundException e) {\n e.printStackTrace();\n } catch (IOException e) {\n e.printStackTrace();\n }\n }","title":""},{"docid":"91353e91bbdb9f0233d7117e300f8b08","score":"0.5567743","text":"private void createWorldImage() {\n tempg2.setColor(Color.white);\n tempg2.fillRect(0,0,500,500);\n tempg2.setColor(Color.red);\n tempg2.fillRect(10, 10, 8, 480); // left wall\n tempg2.fillRect(480, 10, 8, 480); // right wall\n tempg2.fillRect(10, 10, 478, 8); // top wall\n tempg2.fillRect(10, 482, 478, 8); // bottom wall\n\n\tEnumeration e = worldObjects.elements();\n\twhile(e.hasMoreElements()) {\n\t Vertex v = (Vertex)e.nextElement();\n if(v.objType == WALL || v.objType == LIGHT)\n\t v.drawVertex(tempg2);\n\t}\n\n }","title":""},{"docid":"6746bc0a95a4946103163237c5651c37","score":"0.55455863","text":"@Override\n\tpublic void create() {\n\t\tGdx.app.setLogLevel(Application.LOG_DEBUG);\n\t\t//Load Assets\n\t\tAssets.instance.init(new AssetManager());\n\t\t//Initializing the worldcontroller and renderer\n\t\tworldController = new WorldController();\n\t\tworldRenderer = new WorldRenderer(worldController);\t\n\t\n\t\tpaused = false;\n\t\t\n\t}","title":""},{"docid":"f0b85a60305bbe57f356d891b32a6fd6","score":"0.55445844","text":"public LocationJoueur(GameWorld world) {\n this.world = world;\n }","title":""},{"docid":"0c02f7b0324739b01d1730b040aecb50","score":"0.5535204","text":"public static void init() {\r\n\t\tunitsX = 16;\r\n\t\tunitsY = 9;\r\n\t\t\r\n\t\tppuX = Gdx.graphics.getWidth()/unitsX;\r\n\t\tppuY = Gdx.graphics.getHeight()/unitsY;\r\n\t\t\r\n\t\t//A new OrthographicCamera is created, with relative aspect ratio defined in its parameters\r\n\t\t//The camera view is then shifted to point at only the first quadrant of the graph\r\n\t\tgameCam = new OrthographicCamera(unitsX, unitsY);\r\n \tgameCam.position.set(unitsX/2, unitsY/2, 0);\r\n \tgameCam.update();\r\n \t\r\n \tfontCam = new OrthographicCamera(Gdx.graphics.getWidth(), Gdx.graphics.getHeight());\r\n \tfontCam.position.set(Gdx.graphics.getWidth()/2, Gdx.graphics.getHeight()/2, 0);\r\n \tfontCam.update();\r\n \t\r\n \tbatch = new SpriteBatch();\r\n \tdebugRenderer = new ShapeRenderer();\r\n\t}","title":""},{"docid":"42187f3b168da611e6228e5db395348a","score":"0.55288404","text":"public MyWorld()\n { \n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\n super(WORLD_WIDTH, WORLD_HEIGHT, 1, false);\n Greenfoot.setSpeed(45);\n setPaintOrder(GameOver.class, TopPipe.class, BotPipe.class, Bird.class, Ground.class);\n prepare();\n }","title":""},{"docid":"13993f3ca7b777fe21e248e5ffb7746a","score":"0.5515665","text":"public MyWorld()\n { \n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\n super(600, 400, 1); \n player.Awake();\n // Adiciona o player e os carrosObstaculos\n\n addObject(esq, 231, 209);\n addObject(dir, 408, 209);\n addObject(slot, 319, 209);\n addObject(player, 75, 100);\n // Texto do tempo\n addObject(timerText, 503, 364); \n timerText.setText(\"Time left: \" + (timer/60));\n }","title":""},{"docid":"d60573ac7369cd492fa95f97bf8368e2","score":"0.5515097","text":"public Level11()\n { \n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\n super(1200, 800, 1); \n prepare();\n }","title":""},{"docid":"ceb380aec5974db99072f2bf2f542773","score":"0.55000806","text":"private void createWorld(String worldName)\n {\n // TODO: Loading screen\n WorldGenerator generator = new WorldGenerator();\n WorldLoader worldLoader;\n try\n {\n File worldFolder = new File(SystemUtils.getGameFolder(), \"worlds/\" + worldName);\n if(!worldFolder.exists())\n worldFolder.mkdirs();\n worldLoader = new VanillaWorldLoader(new ResourceLocation(worldName), new DiskSimpleResourceLoader(worldFolder.getParentFile().getAbsolutePath()));\n World clientWorld = new World(worldName, new BaseChunkProvider(worldLoader), generator, worldLoader);\n\n EntityPlayer player = clientWorld.createPlayerEntity(oc.getSession().getUUID());\n clientWorld.spawn(player);\n oc.getRenderEngine().setRenderViewEntity(player);\n oc.setPlayerController(new LocalPlayerController(player));\n\n Entity testEntity = new EntityTest(clientWorld);\n testEntity.setLocation(player.posX, player.posY + 20, player.posZ);\n clientWorld.spawn(testEntity);\n\n new ThreadGetChunksFromCamera(oc).start();\n oc.setWorld(clientWorld);\n oc.setPlayer(player);\n oc.openMenu(new GuiIngame(oc));\n }\n catch(Exception e)\n {\n e.printStackTrace();\n }\n }","title":""},{"docid":"5938841ea34316153acf47e053ce6395","score":"0.5493367","text":"public static void init() {\n // BEGIN AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\n driveTrainLeft1 = new VictorSP(3);\n LiveWindow.addActuator(\"DriveTrain\", \"Left1\", (VictorSP) driveTrainLeft1);\n driveTrainLeft1.setInverted(true);\n driveTrainLeft2 = new VictorSP(2);\n LiveWindow.addActuator(\"DriveTrain\", \"Left2\", (VictorSP) driveTrainLeft2);\n driveTrainLeft2.setInverted(true);\n driveTrainRight1 = new VictorSP(0);\n LiveWindow.addActuator(\"DriveTrain\", \"Right1\", (VictorSP) driveTrainRight1);\n driveTrainRight1.setInverted(false);\n driveTrainRight2 = new VictorSP(1);\n LiveWindow.addActuator(\"DriveTrain\", \"Right2\", (VictorSP) driveTrainRight2);\n driveTrainRight2.setInverted(false);\n shooterFlyLeft = new CANTalon(5);\n// LiveWindow.addActuator(\"Shooter\", \"FlyLeft\", shooterFlyLeft);\n \n shooterFlyRight = new CANTalon(4);\n// LiveWindow.addActuator(\"Shooter\", \"FlyRight\", shooterFlyRight);\n \n shooterKicker = new DoubleSolenoid(11, 2, 3);\n LiveWindow.addActuator(\"Shooter\", \"Kicker\", shooterKicker);\n \n\n // END AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\n }","title":""},{"docid":"6e0204fc5240dd3fd8199544756aa44b","score":"0.548381","text":"private void buildCamera() {\n camera.setNearClip(CAMERA_NEAR_CLIP);\n camera.setFarClip(CAMERA_FAR_CLIP);\n camera.setTranslateZ(CAMERA_INITIAL_DISTANCE);\n\n cameraHolder.getChildren().add(camera);\n cameraHolder.rotate(CAMERA_INITIAL_X_ANGLE, Rotate.X_AXIS);\n cameraHolder.rotate(CAMERA_INITIAL_Y_ANGLE, Rotate.Y_AXIS);\n\n root.getChildren().add(cameraHolder);\n\n cameraBoard.setNearClip(CAMERA_NEAR_CLIP);\n cameraBoard.setFarClip(CAMERA_FAR_CLIP);\n cameraBoard.setTranslateZ(CAMERA_INITIAL_DISTANCE);\n\n cameraHolderBoard.getChildren().add(cameraBoard);\n\n boardGroup.getChildren().add(cameraHolderBoard);\n\n cameraPattern.setNearClip(CAMERA_NEAR_CLIP);\n cameraPattern.setFarClip(CAMERA_FAR_CLIP);\n cameraPattern.setTranslateZ(CAMERA_INITIAL_DISTANCE);\n\n cameraHolderPattern.getChildren().add(cameraPattern);\n\n patternGroup.getChildren().add(cameraHolderPattern);\n }","title":""},{"docid":"3487a6bbeed3fe4c113e0b6c28dd0c8c","score":"0.546917","text":"@Override\n protected void initGame() {\n playerControl = new PlayerControl();\n rotatingControl = new RotatingControl();\n reverseRotation = new ReverseRotation();\n bluedotControlUp = new BluedotControlUp();\n bluedotControlDown = new BluedotControlDown();\n bluedotControlLeft = new BluedotControlLeft();\n bluedotControlRight = new BluedotControlRight();\n\n\n // Spawner vores spiller, vi definerer hvor den spawner, samt hvor stor den skal være.\n\n// spawner vores bluedot.\n// DONT DELETE THIS. GAME WILL BREAK IF U DO.\nbluedot = Entities.builder()\n .type(Type.BLUEDOT)\n .at(0,0)\n .viewFromNodeWithBBox(new Rectangle(4,4,Color.BLUE))\n .build();\n// x = 1100, y = 604\nendzone = Entities.builder()\n .type(Type.ENDZONE)\n .at(1100,604)\n .viewFromNodeWithBBox(new Rectangle(96,206,Color.GREEN))\n .buildAndAttach();\n\n// Spawner vores spiller, vi definerer hvor den spawner, samt hvor stor den skal være.\n player = Entities.builder()\n .type(Type.PLAYER)\n .at(1100, 80)\n .bbox(new HitBox(\"PLAYER_BODY\", BoundingShape.box(25,25)))\n .viewFromNode(new Rectangle(25,25, Color.DARKRED))\n .with(playerControl)\n .build();\n\n\n// Spawner de roterende hjul som man skal undgå i første række af mappet.\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(900,4)\n .viewFromNodeWithBBox(new Rectangle(13,200,Color.BLUE))\n .with(rotatingControl)\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(700,4)\n .viewFromNodeWithBBox(new Rectangle(13,200,Color.BLUE))\n .with(reverseRotation)\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(300,4)\n .viewFromNodeWithBBox(new Rectangle(13,200,Color.BLUE))\n .with(reverseRotation)\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(500,4)\n .viewFromNodeWithBBox(new Rectangle(13,200,Color.BLUE))\n .with(rotatingControl)\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(400,96)\n .viewFromNodeWithBBox(new Rectangle(200,13,Color.BLUE))\n .with(rotatingControl)\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(600,96)\n .viewFromNodeWithBBox(new Rectangle(200,13,Color.BLUE))\n .with(reverseRotation)\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(800,96)\n .viewFromNodeWithBBox(new Rectangle(200,13,Color.BLUE))\n .with(rotatingControl)\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(200,96)\n .viewFromNodeWithBBox(new Rectangle(200,13,Color.BLUE))\n .with(reverseRotation)\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n// Spawner patruljerende bluedots i anden række\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(200,200)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlUp())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(250,352)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlDown())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(300,200)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlUp())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(350,352)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlDown())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(400,200)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlUp())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(450,352)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlDown())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(500,200)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlUp())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(550,352)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlDown())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(600,200)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlUp())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(650,352)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlDown())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(700,200)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlUp())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(750,352)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlDown())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(800,200)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlUp())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(850,352)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlDown())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(900,200)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlUp())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(950,352)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlDown())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n // tredje rækkes forhindringer\n\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(750,402)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlUp())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(700,552)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlDown())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(650,402)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlUp())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(800,402)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlRight())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(800,482)\n .viewFromNodeWithBBox(new Rectangle(50,40,Color.BLUE))\n .with(new BluedotControlRight())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(800,552)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlRight())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(600,402)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlLeft())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(600,482)\n .viewFromNodeWithBBox(new Rectangle(50,40,Color.BLUE))\n .with(new BluedotControlLeft())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(600,552)\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\n .with(new BluedotControlLeft())\n .with(new CollidableComponent(true))\n .buildAndAttach(getGameWorld());\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(200,496)\n .viewFromNodeWithBBox(new Rectangle(200,13,Color.BLUE))\n .with(reverseRotation)\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(300,404)\n .viewFromNodeWithBBox(new Rectangle(13,200,Color.BLUE))\n .with(reverseRotation)\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n // Sidste Rækkes forhindringer!\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(430,650)\n .viewFromNodeWithBBox(new Rectangle(13,150,Color.BLUE))\n .with(new BluedotControlLeft())\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(550,600)\n .viewFromNodeWithBBox(new Rectangle(13,100,Color.BLUE))\n .with(new BluedotControlLeft())\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(650,600)\n .viewFromNodeWithBBox(new Rectangle(13,75,Color.BLUE))\n .with(new BluedotControlLeft())\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(650,725)\n .viewFromNodeWithBBox(new Rectangle(13,75,Color.BLUE))\n .with(new BluedotControlLeft())\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n\n // Her laver jeg mappet\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(0,0)\n .viewFromNodeWithBBox(new Rectangle(4,1000,Color.BLUE))\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(0,796)\n .viewFromNodeWithBBox(new Rectangle(1200,4,Color.BLUE))\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(0,0)\n .viewFromNodeWithBBox(new Rectangle(1200,4,Color.BLUE))\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(1196,0)\n .viewFromNodeWithBBox(new Rectangle(4,800,Color.BLUE))\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(0,400)\n .viewFromNodeWithBBox(new Rectangle(1000,4,Color.BLUE))\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(200,200)\n .viewFromNodeWithBBox(new Rectangle(1000,4,Color.BLUE))\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n Entities.builder()\n .type(Type.BLUEDOT)\n .at(200,600)\n .viewFromNodeWithBBox(new Rectangle(1000,4,Color.BLUE))\n .with(new CollidableComponent(true))\n .buildAndAttach();\n\n\n\n\n\n\n\n player.addComponent(new CollidableComponent(true));\n bluedot.addComponent(new CollidableComponent(true));\n endzone.addComponent(new CollidableComponent(true));\n\n\n\ngetGameWorld().addEntities(player,bluedot);\n\n\n\n }","title":""},{"docid":"b6224a1f303da8ab028b05c3bca2ba88","score":"0.5468776","text":"public GameWorld() {\n\t\tgameWorldListener = new GameWorldListenerImpl();\n\t\tplayers = new TreeSet<Player>(AIConstants.playerComparator);\n\t\tclosestObjects = new HashMap<Player, List<Obstacle>>();\n\t\tlevelObjects = new ArrayList<GameObject>();\n\t}","title":""},{"docid":"77d09a0a2b1755d320a83493a5ef1668","score":"0.5460317","text":"private void createFloor() {\n BodyDef bodyDef = new BodyDef();\n bodyDef.type = BodyDef.BodyType.StaticBody;\n bodyDef.position.set(0, -10f);\n\n // add it to the world\n bodys = world.createBody(bodyDef);\n\n // set the shape (here we use a box 50 meters wide, 1 meter tall )\n PolygonShape shape = new PolygonShape();\n shape.setAsBox(50, 1);\n\n // create the physical object in our body)\n // without this our body would just be data in the world\n bodys.createFixture(shape, 0.0f);\n\n // we no longer use the shape object here so dispose of it.\n shape.dispose();\n }","title":""},{"docid":"53d70f47e8b426fc1d970e9e0defc367","score":"0.5456227","text":"private void levelInit(int world, int level){\n if(world == 1) {\n walls.add(new Wall(-1000, -220, \"wall.png\"));\n walls.add(new Wall(-1000, 375, \"wall.png\"));\n }\n else if(world == 2){\n walls.add(new Wall(-1000, -220, \"stump.png\"));\n walls.add(new Wall(-1000, 375, \"stump.png\"));\n }\n else if(world == 5){\n walls.add(new Wall(-1000, -220, \"asteroidBelt.png\"));\n walls.add(new Wall(-1000, 375, \"asteroidBelt.png\"));\n }\n else if(world == 6){\n walls.add(new Wall(-1000, -220, \"futureWall.png\"));\n walls.add(new Wall(-1000, 375, \"futureWall.png\"));\n }\n switch(world){\n case 1:\n switch(level){\n /*case 1:\n levelBackground = new Texture(\"level1Background.png\");\n switches.add(new Obstacle(200, 100, \"wallSwitch.png\"));\n walls.add(new Wall(400, -220, switches, -320));\n walls.add(new Wall(400, 375, switches, 500));\n happyCloud = new HappyCloud(10000,200);\n break;*/\n case 1:\n levelBackground = new Texture(\"level1Background.png\");\n bonusQuokkas.add(new BonusQuokka(200, 400));\n happyCloud = new HappyCloud(600, 250);\n break;\n /*case 1:\n levelBackground = new Texture(\"level2Background.png\");\n hawks.add(new Hawk(400,150));\n happyCloud = new HappyCloud(850, 300);\n break;*/\n /*case 1:\n levelBackground = new Texture(\"level2Background.png\");\n happyCloud = new HappyCloud(30000, 500);\n walls.add(new Wall(-50, 300));\n walls.add(new Wall(73, 600, \"horizontWall.png\"));\n break;*/\n case 2:\n levelBackground = new Texture(\"level2Background.png\");\n walls.add(new Wall(500,-180, \"wall.png\"));\n walls.add(new Wall(1400,400, \"wall.png\"));\n happyCloud = new HappyCloud(2060, 200);\n bonusQuokkas.add(new BonusQuokka(20,200));\n break;\n case 3:\n levelBackground = new Texture(\"level1Background.png\");\n clouds.add(new EvilCloud(350, 400));\n bonusQuokkas.add(new BonusQuokka(350, 50));\n happyCloud = new HappyCloud(750, 200);\n break;\n case 4:\n levelBackground = new Texture(\"level2Background.png\");\n walls.add(new Wall(350, -80, \"wall.png\"));\n walls.add(new Wall(850, -230, \"wall.png\"));\n clouds.add(new EvilCloud(1200, 460));\n bonusQuokkas.add(new BonusQuokka(650, 50));\n happyCloud = new HappyCloud(1200, 10);\n break;\n case 5:\n levelBackground = new Texture(\"level1Background.png\");\n clouds.add(new EvilCloud(200, 300));\n walls.add(new Wall(900, 450));\n clouds.add(new EvilCloud(1420, 270));\n bonusQuokkas.add(new BonusQuokka(1825, 120));\n happyCloud = new HappyCloud(1730,350);\n break;\n case 6:\n levelBackground = new Texture(\"level1Background.png\");\n walls.add(new Wall(300,500, \"wall.png\"));\n walls.add(new Wall(300, -380, \"wall.png\"));\n walls.add(new Wall (600, -380, \"wall.png\"));\n bonusQuokkas.add(new BonusQuokka(600, 550));\n clouds.add(new EvilCloud(800, 500));\n walls.add(new Wall(1300, 600, \"wall.png\"));\n clouds.add(new EvilCloud(1300, 50));\n happyCloud = new HappyCloud(1600, 300);\n break;\n /*case 5:\n levelBackground = new Texture(\"level2Background.png\");\n hawks.add(new Hawk(400,150));\n happyCloud = new HappyCloud(850, 300);\n break;*/\n case 7:\n levelBackground = new Texture(\"level2Background.png\");\n clouds.add(new EvilCloud(200, 50));\n walls.add(new Wall (750, 300));\n walls.add(new Wall(1150, -130));\n bonusQuokkas.add(new BonusQuokka(1320, 30));\n happyCloud = new HappyCloud(1550, 200);\n break;\n /*case 8:\n levelBackground = new Texture(\"level2Background.png\");\n for(int i = 0; i < 10; i++){\n walls.add(new Wall(400 + 123 * i, -280));\n walls.add(new Wall(400 + 123 * i, 500));\n }\n happyCloud = new HappyCloud(1400, 5);\n break;\n\n case 8:\n levelBackground = new Texture(\"level1Background.png\");\n walls.add(new Wall(300, -80));\n clouds.add(new EvilCloud(450, 350));\n clouds.add(new EvilCloud(1200, 350));\n happyCloud = new HappyCloud(1650, 150);\n break;\n */\n case 8:\n levelBackground = new Texture(\"level2Background.png\");\n walls.add(new Wall(350, 300, \"wall.png\"));\n bonusQuokkas.add(new BonusQuokka(500, 400));\n walls.add(new Wall(750,300, \"wall.png\"));\n happyCloud = new HappyCloud(1250, 200);\n break;\n case 9:\n levelBackground = new Texture(\"level1Background.png\");\n clouds.add(new EvilCloud(250, 200));\n bonusQuokkas.add(new BonusQuokka(650, 0));\n walls.add(new Wall(900, -180));\n clouds.add(new EvilCloud(1050, 300));\n walls.add(new Wall(1500, 400));\n happyCloud = new HappyCloud(1700, 500);\n break;\n case 10:\n levelBackground = new Texture(\"level1Background.png\");\n walls.add(new Wall(300,600, \"wall.png\"));\n walls.add(new Wall(300, -280, \"wall.png\"));\n walls.add(new Wall(700, 700, \"wall.png\"));\n walls.add(new Wall(700, -180, \"wall.png\"));\n walls.add(new Wall(1100, 500, \"wall.png\"));\n walls.add(new Wall(1100, -380, \"wall.png\"));\n happyCloud = new HappyCloud(1300, 5);\n walls.add(new Wall(1700, 500, \"wall.png\"));\n walls.add(new Wall(1700, -380, \"wall.png\"));\n bonusQuokkas.add(new BonusQuokka(1900, 300));\n break;\n /*case 10:\n levelBackground = new Texture(\"level3Background.png\");\n arrows.add(new Arrow(100, 1100, true));\n clouds.add(new EvilCloud(50, 1000));\n happyCloud = new HappyCloud(50, 2000);\n break;*/\n }\n break;\n case 2:\n switch(level) {\n /*case 1:\n levelBackground = new Texture(\"level1Background.png\");\n walls.add(new Wall(700, 500, \"horizontWall.png\"));\n happyCloud = new HappyCloud(10000,200);\n break;\n case 3:\n levelBackground = new Texture(\"spaceBackground.png\");\n planets.add(new Obstacle(300, 200, \"greenPlanet.png\"));\n happyCloud = new HappyCloud(1500, 300);\n break;\n case 4:\n layerTextures.add(new Texture(\"level1Background.png\"));\n layerTextures.add(new Texture(\"level2Background.png\"));\n layerTextures.add(new Texture(\"level3Background.png\"));\n vines.add(new Vine(600, 500, 1, 50));\n layerVines.add(new Array<Vine>(vines));\n vines.clear();\n vines.add(new Vine (900, 600, 0, 50));\n layerVines.add(new Array<Vine>(vines));\n happyCloud = new HappyCloud(1300, 6);\n break;*/\n case 1:\n levelBackground = new Texture(\"dino1Back.png\");\n walls.add(new Wall(500, 450, \"stump.png\"));\n meteors.add(new Meteor(730, 780, 0, 0));\n clouds.add(new EvilCloud(955, 50));\n bonusQuokkas.add(new BonusQuokka(1255, 50));\n happyCloud = new HappyCloud(1605, 50);\n break;\n case 2:\n levelBackground = new Texture(\"dino2Back.png\");\n walls.add(new Wall(450, 380, \"stump.png\"));\n switches.add(new Obstacle(660, 120, \"wallSwitch.png\"));\n bonusQuokkas.add(new BonusQuokka(750, -30));\n walls.add(new Wall(460, -445, switches, -215, \"stump.png\"));\n meteors.add(new Meteor(690, 780, 0, 0));\n walls.add(new Wall(910, -80, \"stump.png\"));\n happyCloud = new HappyCloud(1210, 50);\n break;\n case 3:\n levelBackground = new Texture(\"dino1Back.png\");\n meteors.add(new Meteor(500, 780, 0, 0));\n clouds.add(new EvilCloud(675, 250));\n bonusQuokkas.add(new BonusQuokka(700, 400));\n meteors.add(new Meteor(1000, 780, 0, 0));\n clouds.add(new EvilCloud(1200, 600));\n clouds.add(new EvilCloud(1200, 50));\n meteors.add(new Meteor(1550, 780, 0, 0));\n happyCloud = new HappyCloud(1750, 300);\n break;\n case 4:\n levelBackground = new Texture(\"dino2Back.png\");\n walls.add(new Wall(350, 500, \"stump.png\"));\n tallDinos.add(new TallDino(923, -195, -223, 400));\n bonusQuokkas.add(new BonusQuokka(0, 50));\n walls.add(new Wall(1000, 500, \"stump.png\"));\n tallDinos.add(new TallDino(1573, -195, 427, 400));\n happyCloud = new HappyCloud(1000, 0);\n break;\n case 5:\n levelBackground = new Texture(\"dino1Back.png\");\n meteors.add(new Meteor(500, 780, 0, 0));\n meteors.add(new Meteor(675, 780, 0, 0));\n meteors.add(new Meteor(850, 780, 0, 0));\n meteors.add(new Meteor(1025, 780, 0, 0));\n meteors.add(new Meteor(1200, 780, 0, 0));\n walls.add(new Wall (1375, -150, \"stump.png\"));\n meteors.add(new Meteor(1550, 780, 0, 0));\n meteors.add(new Meteor(1725, 780, 0, 0));\n meteors.add(new Meteor(1900, 780, 0, 0));\n meteors.add(new Meteor(2075, 780, 0, 0));\n meteors.add(new Meteor(2250, 780, 0, 0));\n walls.add(new Wall(2425, -150, \"stump.png\"));\n happyCloud = new HappyCloud(2600, 200);\n meteors.add(new Meteor(2775, 780, 0, 0));\n meteors.add(new Meteor(2950, 780, 0, 0));\n meteors.add(new Meteor(3125, 780, 0, 0));\n bonusQuokkas.add(new BonusQuokka(3300, 50));\n break;\n case 6:\n levelBackground = new Texture(\"dino2Back.png\");\n switches.add(new Obstacle(400, 0,\"wallSwitch.png\"));\n bonusQuokkas.add(new BonusQuokka(525, 70));\n walls.add(new Wall(200, 300, \"horizontStump.png\"));\n walls.add(new Wall(672, 422, switches, 1000, \"stump.png\"));\n tallDinos.add(new TallDino(250, -305, 722, 200));\n meteors.add(new Meteor(810, 780, 0, 0));\n happyCloud = new HappyCloud(1200, 150);\n break;\n case 7:\n levelBackground = new Texture(\"dino1Back.png\");\n walls.add(new Wall(200, -100, \"stump.png\"));\n tallDinos.add(new TallDino(350, -100, 1350, 300));\n walls.add(new Wall(575, 601, \"stump.png\"));\n meteors.add(new Meteor(820, 780, 0, 0));\n clouds.add(new EvilCloud(1070, 550));\n bonusQuokkas.add(new BonusQuokka(1420, 550));\n happyCloud = new HappyCloud(1600, 100);\n break;\n case 8:\n levelBackground = new Texture(\"dino2Back.png\");\n meteors.add(new Meteor(400, 880, 0, 0));\n meteors.add(new Meteor(600, 880, 0, 0));\n meteors.add(new Meteor(800, 880, 0, 0));\n meteors.add(new Meteor(1000, 880, 0, 0));\n tallDinos.add(new TallDino(200, -350, 400, 150));\n tallDinos.add(new TallDino(432, -350, 632, 150));\n tallDinos.add(new TallDino(1064, -350, 864, 150));\n tallDinos.add(new TallDino(1296, -350, 1096, 150));\n meteors.add(new Meteor(1644, 880, 0, 0));\n tallDinos.add(new TallDino(1528, -250, 1960, 150));\n bonusQuokkas.add(new BonusQuokka(1878, 80));\n happyCloud = new HappyCloud(2192, 150);\n break;\n case 9:\n levelBackground = new Texture(\"dino1Back.png\");\n clouds.add(new EvilCloud(150, 0));\n meteors.add(new Meteor(450, 780, 0, 0));\n bonusQuokkas.add(new BonusQuokka(500, 400));\n walls.add(new Wall(650, 250, \"stump.png\"));\n tallDinos.add(new TallDino(800, -350, 1300, 200));\n happyCloud = new HappyCloud(1450, 0);\n break;\n case 10:\n levelBackground = new Texture(\"dino1Back.png\");\n walls.add(new Wall(330, -200, \"stump.png\"));\n meteors.add(new Meteor(600, 880, 0, 0));\n tallDinos.add(new TallDino(600, -150, 1000, 200));\n bonusQuokkas.add(new BonusQuokka(630, 50));\n happyCloud = new HappyCloud(1350, 50);\n break;\n }\n break;\n case 3:\n switch(level){\n case 1:\n clouds.add(new EvilCloud(250,800));\n walls.add(new Wall(700, 1250, \"horizontWall.png\"));\n bonusQuokkas.add(new BonusQuokka(1000, 1550));\n happyCloud = new HappyCloud(300, 1650);\n break;\n case 2:\n arrows.add(new Arrow(50, 850));\n arrows.add(new Arrow(50, 1250));\n bonusQuokkas.add(new BonusQuokka(300, 1250));\n clouds.add(new EvilCloud(250, 1650));\n happyCloud = new HappyCloud(700,1800);\n break;\n case 3:\n walls.add(new Wall(-50, 850, \"horizontWall.png\"));\n arrows.add(new Arrow (cam.viewportWidth- 100, 1250));\n arrows.add(new Arrow(50, 1650));\n arrows.add(new Arrow(cam.viewportWidth- 100, 2050));\n bonusQuokkas.add(new BonusQuokka(200, 1250));\n happyCloud = new HappyCloud(700, 2250);\n break;\n case 4:\n for(int i = 0; i < 3; i++) {\n walls.add(new Wall(327, 595 * i));\n walls.add(new Wall(796, 595 * i));\n }\n arrows.add(new Arrow(320, 750));\n bonusQuokkas.add(new BonusQuokka(560, 800));\n arrows.add(new Arrow(320, 950));\n arrows.add(new Arrow(800, 950));\n happyCloud = new HappyCloud(490, 1300);\n break;\n case 5:\n arrows.add(new Arrow(0, 1000));\n arrows.add(new Arrow(0, 300));\n walls.add(new Wall(0, 1300, \"horizontWall.png\"));\n walls.add(new Wall(850, 1000));\n bonusQuokkas.add(new BonusQuokka(1050, 1050));\n walls.add(new Wall(973, 1300, \"horizontWall.png\"));\n clouds.add(new EvilCloud(400, 1717));\n happyCloud = new HappyCloud(850, 1768);\n break;\n case 6:\n walls.add(new Wall(675, 450, \"horizontWall.png\"));\n walls.add(new Wall(93, 1000, \"horizontWall.png\"));\n walls.add(new Wall(565, 1123));\n switches.add(new Obstacle(798, 1868, \"wallSwitch.png\"));\n walls.add(new Wall(93, 1718, switches, -718, 0,\"horizontWall.png\"));\n walls.add(new Wall(675, 2200, \"horizontWall.png\"));\n walls.add(new Wall(552, 2200, switches, -400, 1));\n bonusQuokkas.add(new BonusQuokka(376, 1500));\n happyCloud = new HappyCloud(720, 2373);\n break;\n case 7:\n walls.add(new Wall(678, 0));\n walls.add(new Wall(678, 595));\n walls.add(new Wall(93, 1067, \"horizontWall.png\"));\n portals.add(new Obstacle(120, 870, \"portal.png\"));\n portals.add(new Obstacle(828, 870, \"portal.png\"));\n clouds.add(new EvilCloud(828, 600));\n arrows.add(new Arrow(1150, 700));\n arrows.add(new Arrow(1150, 1350));\n walls.add(new Wall(678, 1190));\n walls.add(new Wall(93, 1662, \"horizontWall.png\"));\n portals.add(new Obstacle(130, 2000, \"portal.png\"));\n bonusQuokkas.add(new BonusQuokka(130, 2324));\n portals.add(new Obstacle(900, 2086, \"portal.png\"));\n clouds.add(new EvilCloud(130, 2162));\n happyCloud = new HappyCloud(780, 2266);\n break;\n case 8:\n clouds.add(new EvilCloud(500, 1000));\n walls.add(new Wall(595, 1200));\n walls.add(new Wall(595, 1795));\n walls.add(new Wall(718, 2267, \"horizontWall.png\"));\n clouds.add(new EvilCloud(750, 1323));\n portals.add(new Obstacle(900, 2067, \"portal.png\"));\n bonusQuokkas.add(new BonusQuokka(900, 1870));\n walls.add(new Wall(595, 2267));\n walls.add(new Wall(595, 2862));\n walls.add(new Wall(718, 3334, \"horizontWall.png\"));\n portals.add(new Obstacle(400, 2067, \"portal.png\"));\n portals.add(new Obstacle(400, 2610, \"portal.png\"));\n portals.add(new Obstacle(720, 2610, \"portal.png\"));\n happyCloud = new HappyCloud(850, 2860);\n break;\n case 9:\n arrows.add(new Arrow(50, 1300));\n clouds.add(new EvilCloud(950, 1000));\n clouds.add(new EvilCloud(93, 1450));\n walls.add(new Wall(916, 1450,\"horizontWall.png\"));\n walls.add(new Wall(404, 1850, \"horizontWall.png\"));\n walls.add(new Wall(916, 1450));\n portals.add(new Obstacle(108, 1600, \"portal.png\"));\n walls.add(new Wall(93, 1850, \"horizontWall.png\"));\n portals.add(new Obstacle(1070, 1600, \"portal.png\"));\n arrows.add(new Arrow(50, 2330));\n arrows.add(new Arrow(1230, 2420));\n bonusQuokkas.add(new BonusQuokka(150,2420));\n walls.add(new Wall(93, 2670, \"horizontWall.png\"));\n happyCloud = new HappyCloud(223, 2843);\n break;\n case 10:\n walls.add(new Wall(93, 850, \"horizontWall.png\"));\n arrows.add(new Arrow(-50, 875));\n walls.add(new Wall(688, 850));\n arrows.add(new Arrow(1180, 1245));\n walls.add(new Wall(330, 1620));\n bonusQuokkas.add(new BonusQuokka(480, 1795));\n happyCloud = new HappyCloud(-50, 1645);\n break;\n }\n break;\n case 4:\n levelBackground = new Texture(\"canvasBackground.png\");\n switch(level){\n case 1:\n nullZones.add(new Obstacle(-100, -300, 350, 1068));\n moveSpots.add(new Vector2(-50, 330));\n moveSpots.add(new Vector2(250, 70));\n moveSpots.add(new Vector2(250.01f, 70));\n moveSpots.add(new Vector2(-50.01f, 330));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 200, 200));\n walls.add(new Wall(280, 100, \"horizontWall.png\"));\n clouds.add(new EvilCloud(900, 250));\n bonusQuokkas.add(new BonusQuokka(975, 50));\n walls.add(new Wall(1350, 400));\n happyCloud = new HappyCloud(1550, 550);\n break;\n case 2:\n clouds.add(new EvilCloud(450, 600));\n clouds.add(new EvilCloud(450, 50));\n nullZones.add(new Obstacle(700, -300, 580, 1100));\n bonusQuokkas.add(new BonusQuokka(990, 70));\n happyCloud = new HappyCloud(1600, 150);\n break;\n /*case 2:\n clouds.add(new EvilCloud(250, 50));\n walls.add(new Wall(900, 250));\n bonusQuokkas.add(new BonusQuokka(1068, 500));\n happyCloud = new HappyCloud(1258, 50);\n break;*/\n /*case 3:\n nullZones.add(new Obstacle(400, 100, 900, 800));\n walls.add(new Wall(1300, 200));\n bonusQuokkas.add(new BonusQuokka(1100, 200));\n happyCloud = new HappyCloud(1450, 350);\n break;*/\n case 3:\n nullZones.add(new Obstacle(400, -300, 300, 1100));\n nullZones.add(new Obstacle(900, -300, 300, 1100));\n nullZones.add(new Obstacle(1400, -300, 300, 1100));\n bonusQuokkas.add(new BonusQuokka(1550, 500));\n happyCloud = new HappyCloud(1800, 50);\n break;\n /*case 4:\n moveSpots.add(new Vector2(200, 550));\n moveSpots.add(new Vector2(200, 100));\n moveSpots.add(new Vector2(200.01f, 100));\n moveSpots.add(new Vector2(200.01f, 550));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 200, 400));\n clouds.add(new EvilCloud(300, 50));\n moveSpots.clear();\n moveSpots.add(new Vector2(600, 600));\n moveSpots.add(new Vector2(900, 150));\n moveSpots.add(new Vector2(1050, 250));\n moveSpots.add(new Vector2(750, 700));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 250, 600));\n walls.add(new Wall(1250, 0));\n happyCloud = new HappyCloud(1500, 50);\n break;*/\n case 4:\n nullZones.add(new Obstacle(300, 459, 1000, 359));\n nullZones.add(new Obstacle(300, -200, 1000, 509));\n walls.add(new Wall(1450, 380));\n clouds.add(new EvilCloud(1650, 50));\n moveSpots.add(new Vector2(1875, 768));\n moveSpots.add(new Vector2(2125, 440));\n moveSpots.add(new Vector2(2125.01f, 440));\n moveSpots.add(new Vector2(1875.01f, 768));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 200, 200));\n bonusQuokkas.add(new BonusQuokka(1985, 600));\n happyCloud = new HappyCloud(2450, 400);\n break;\n case 5:\n nullZones.add(new Obstacle(200, -300, 600, 1068));\n moveSpots.add(new Vector2(250, 300));\n moveSpots.add(new Vector2(750, 300));\n moveSpots.add(new Vector2(750, 300.01f));\n moveSpots.add(new Vector2(250, 300.01f));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 250, 250));\n nullZones.add(new Obstacle(1200, -300, 1200, 1068));\n moveSpots.clear();\n moveSpots.add(new Vector2(1440, 350));\n moveSpots.add(new Vector2(1780, 350));\n moveSpots.add(new Vector2(1780, 350.01f));\n moveSpots.add(new Vector2(1440, 350.01f));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 200, 200));\n moveSpots.clear();\n moveSpots.add(new Vector2(1920, 150));\n moveSpots.add(new Vector2(2160, 150));\n moveSpots.add(new Vector2(2160, 150.01f));\n moveSpots.add(new Vector2(1920, 150.01f));\n bonusQuokkas.add(new BonusQuokka(1995, 175));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 150, 150));\n happyCloud = new HappyCloud(2250, 500);\n break;\n case 6:\n clouds.add(new EvilCloud(-50, 100));\n moveSpots.add(new Vector2(350, 50));\n moveSpots.add(new Vector2(550, 350));\n moveSpots.add(new Vector2(550.01f, 350));\n moveSpots.add(new Vector2(350.01f, 50));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 150, 150));\n walls.add(new Wall(700, 300));\n moveSpots.clear();\n moveSpots.add(new Vector2(823, 550));\n moveSpots.add(new Vector2(1123, 550));\n moveSpots.add(new Vector2(1123.01f, 550));\n moveSpots.add(new Vector2(823.01f, 550));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 150, 150));\n bonusQuokkas.add(new BonusQuokka(970, 570));\n nullZones.add(new Obstacle(1123, -300, 250, 1068));\n happyCloud = new HappyCloud(1450, 50);\n break;\n case 7:\n nullZones.add(new Obstacle(250, -300, 350, 1068));\n clouds.add(new EvilCloud(600, 400));\n bonusQuokkas.add(new BonusQuokka(675, 575));\n moveSpots.add(new Vector2(850, 0));\n moveSpots.add(new Vector2(850, 768));\n moveSpots.add(new Vector2(850.01f, 768));\n moveSpots.add(new Vector2(850.01f, 0));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 200, 200));\n nullZones.add(new Obstacle(1100, -300, 350, 1068));\n walls.add(new Wall(1650, -280));\n happyCloud= new HappyCloud(1850, 50);\n break;\n case 8:\n nullZones.add(new Obstacle(200, -300, 350, 1068));\n walls.add(new Wall(300, -250));\n walls.add(new Wall(750, -250));\n nullZones.add(new Obstacle(873, -300, 175, 1068));\n walls.add(new Wall(1048, 400));\n nullZones.add(new Obstacle(1271, -300, 350, 1068));\n walls.add(new Wall(1371, 450));\n walls.add(new Wall(1371, -350));\n bonusQuokkas.add(new BonusQuokka(1524, 550));\n happyCloud = new HappyCloud(1544, 50);\n break;\n /*case 9:\n moveSpots.add(new Vector2(50,100));\n moveSpots.add(new Vector2(250,400));\n moveSpots.add(new Vector2(100,600));\n moveSpots.add(new Vector2(50.01f,100));\n brushes.add(new Obstacle(\"brush.png\", moveSpots,150, 700));\n moveSpots.clear();\n moveSpots.add(new Vector2(-400,100));\n moveSpots.add(new Vector2(-400,400));\n moveSpots.add(new Vector2(-400,600));\n moveSpots.add(new Vector2(-400,800));\n brushes.add(new Obstacle(\"brush.png\", moveSpots,50, 700));\n happyCloud=new HappyCloud(-300, 50);\n break;*/\n /*case 9:\n moveSpots.add(new Vector2(60, 400));\n moveSpots.add(new Vector2(60, 100));\n moveSpots.add(new Vector2(60.01f, 400));\n moveSpots.add(new Vector2(60.01f, 100));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 200, 300));\n happyCloud = new HappyCloud(2000, 30);\n break;*/\n case 9:\n walls.add(new Wall(300, 384));\n nullZones.add(new Obstacle(523, -200, 342,968));\n switches.add(new Obstacle(669, 30, \"wallSwitch.png\"));\n walls.add(new Wall(1665, -325, switches.get(0), 420));\n switches.add(new Obstacle(669, 500, \"wallSwitch.png\"));\n walls.add(new Wall(1788, -325, switches.get(1), 420));\n clouds.add(new EvilCloud(1165, 200));\n bonusQuokkas.add(new BonusQuokka(1240, 30));\n walls.add(new Wall(1665, 270));\n walls.add(new Wall(1788, 270));\n happyCloud = new HappyCloud(2011, 280);\n break;\n case 10:\n moveSpots.add(new Vector2(-150, 0));\n moveSpots.add(new Vector2(-150, 758));\n moveSpots.add(new Vector2(-150.01f, 758));\n moveSpots.add(new Vector2(-150.01f, 0));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 220, 220));\n moveSpots.clear();\n moveSpots.add(new Vector2(-75, 100));\n moveSpots.add(new Vector2(150, 325));\n moveSpots.add(new Vector2(150.01f, 325));\n moveSpots.add(new Vector2(-75.01f, 100));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 250, 250));\n moveSpots.clear();\n moveSpots.add(new Vector2(350, 130));\n moveSpots.add(new Vector2(650, 130));\n moveSpots.add(new Vector2(650.01f, 130));\n moveSpots.add(new Vector2(350.01f, 130));\n brushes.add(new Obstacle(\"brush.png\", moveSpots, 200, 200));\n bonusQuokkas.add(new BonusQuokka(600, 500));\n nullZones.add(new Obstacle(-300, -200, 1000, 968));\n happyCloud = new HappyCloud(720, 20);\n break;\n }\n break;\n case 5:\n levelBackground = new Texture(\"spaceBackground.png\");\n switch(level) {\n case 1:\n planets.add(new Obstacle(300, 200, \"greenPlanet.png\"));\n planets.add(new Obstacle(900, 400, \"greenPlanet.png\"));\n happyCloud = new HappyCloud(1500, 100);\n planets.add(new Obstacle(1700, 300, \"greenPlanet.png\"));\n bonusQuokkas.add(new BonusQuokka(2000, 350));\n break;\n /*case 1:\n planets.add(new Obstacle(400, 300, \"greenPlanet.png\"));\n laserGuns.add(new LaserGun(600, 300));\n happyCloud = new HappyCloud(30000, 300);\n break;*/\n case 2:\n switches.add(new Obstacle(300, 0, \"asteroidSwitch.png\"));\n planets.add(new Obstacle(200, 300, \"greenPlanet.png\"));\n walls.add(new Wall(500, 380, switches, 1000, \"asteroidBelt.png\"));\n walls.add(new Wall(500, -215, \"asteroidBelt.png\"));\n bonusQuokkas.add(new BonusQuokka(700, 70));\n planets.add(new Obstacle(800, 50, \"greenPlanet.png\"));\n happyCloud = new HappyCloud(1500, 300);\n planets.add(new Obstacle(1800, 500, \"greenPlanet.png\"));\n break;\n /*case 3:\n levelBackground = new Texture(\"spaceBackground.png\");\n planets.add(new Obstacle(200, 300, \"greenPlanet.png\"));\n planets.add(new Obstacle(600, 500, \"blackHole.png\"));\n happyCloud = new HappyCloud(50, 50);\n break;*/\n case 3:\n nebulae.add(new Obstacle(250, 300, \"nebula.png\"));\n bonusQuokkas.add(new BonusQuokka(750, 550));\n blackHoles.add(new Obstacle(800, 300, \"blackHole.png\"));\n planets.add(new Obstacle(1650, 30, \"greenPlanet.png\"));\n planets.add(new Obstacle(1650, 520, \"greenPlanet.png\"));\n happyCloud = new HappyCloud(2050, 250);\n break;\n case 4:\n blackHoles.add(new Obstacle(300, 500, \"blackHole.png\"));\n blackHoles.add(new Obstacle(725, 30, \"blackHole.png\"));\n nebulae.add(new Obstacle(1150, 320, \"nebula.png\"));\n planets.add(new Obstacle(2000, 300, \"greenPlanet.png\"));\n planets.add(new Obstacle(2575, 300, \"greenPlanet.png\"));\n bonusQuokkas.add(new BonusQuokka(2300, 500));\n nebulae.add(new Obstacle(2875, 50, \"nebula.png\"));\n happyCloud = new HappyCloud(3275, 50);\n nebulae.add(new Obstacle(3625, 50, \"nebula.png\"));\n planets.add(new Obstacle(3775, 300, \"greenPlanet.png\"));\n nebulae.add(new Obstacle(3775, 50, \"nebula.png\"));\n nebulae.add(new Obstacle(3975, 350, \"nebula.png\"));\n break;\n case 5:\n nebulae.add(new Obstacle(250, 300, \"nebula.png\"));\n switches.add(new Obstacle(900, 500, \"asteroidSwitch.png\"));\n nebulae.add(new Obstacle(850, 125, \"nebula.png\"));\n walls.add(new Wall(1200, -195, switches.get(0), 400, \"asteroidBelt.png\"));\n walls.add(new Wall(1200, 400, \"asteroidBelt.png\"));\n nebulae.add(new Obstacle(1600, 280, \"nebula.png\"));\n bonusQuokkas.add(new BonusQuokka(2050, 500));\n blackHoles.add(new Obstacle(2200, 450, \"blackHole.png\"));\n nebulae.add(new Obstacle(2200, 50, \"nebula.png\"));\n planets.add(new Obstacle(2800, 50, \"greenPlanet.png\"));\n walls.add(new Wall(3100, -300, \"asteroidBelt.png\"));\n nebulae.add(new Obstacle(3000, 300, \"nebula.png\"));\n happyCloud = new HappyCloud(3250, 50);\n blackHoles.add(new Obstacle(3600, 500, \"blackHole.png\"));\n blackHoles.add(new Obstacle(3600, 50, \"blackHole.png\"));\n break;\n case 6:\n planets.add(new Obstacle(350, 250, \"greenPlanet.png\"));\n portals.add(new Obstacle(375, 500, \"portal.png\"));\n planets.add(new Obstacle(900, 50, \"greenPlanet.png\"));\n switches.add(new Obstacle(3480, 10, \"asteroidSwitch.png\"));\n walls.add(new Wall(1350, -361, \"asteroidBelt.png\"));\n walls.add(new Wall(1350, 234, switches.get(0), 834, \"asteroidBelt.png\"));\n planets.add(new Obstacle(1750, 350, \"greenPlanet.png\"));\n switches.add(new Obstacle(2150, 20, \"asteroidSwitch.png\"));\n walls.add(new Wall(2400, 384, \"asteroidBelt.png\"));\n walls.add(new Wall(2400, -211, \"asteroidBelt.png\"));\n planets.add(new Obstacle(2650, 400, \"greenPlanet.png\"));\n happyCloud = new HappyCloud(2630, 25);\n nebulae.add(new Obstacle(2980, 5, \"nebula.png\"));\n bonusQuokkas.add(new BonusQuokka(3030, 400));\n walls.add(new Wall(3280, -211, switches.get(1), 384, \"asteroidBelt.png\"));\n walls.add(new Wall(3280, 384, \"asteroidBelt.png\"));\n portals.add(new Obstacle(3955, 510, \"portal.png\"));\n planets.add(new Obstacle(3930, 260, \"greenPlanet.png\"));\n planets.add(new Obstacle(4580, 260, \"greenPlanet.png\"));\n break;\n case 7:\n planets.add(new Obstacle(350, 400, \"greenPlanet.png\"));\n drones.add(new Drone(750, 550));\n planets.add(new Obstacle(1000, 30, \"greenPlanet.png\"));\n bonusQuokkas.add(new BonusQuokka(1300, 55));\n planets.add(new Obstacle(1550, 350, \"greenPlanet.png\"));\n planets.add(new Obstacle(2150, 500, \"greenPlanet.png\"));\n nebulae.add(new Obstacle(2750, 150, \"nebula.png\"));\n happyCloud = new HappyCloud(3100, 350);\n planets.add(new Obstacle(3400, 500, \"greenPlanet.png\"));\n planets.add(new Obstacle(3400, 30, \"greenPlanet.png\"));\n break;\n case 8:\n nebulae.add(new Obstacle(350, 500, \"nebula.png\"));\n planets.add(new Obstacle(800, 300, \"greenPlanet.png\"));\n laserGuns.add(new LaserGun(820, 540));\n blackHoles.add(new Obstacle(1320, 500, \"blackHole.png\"));\n nebulae.add(new Obstacle(1920, 250, \"nebula.png\"));\n nebulae.add(new Obstacle(1320, 30, \"nebula.png\"));\n bonusQuokkas.add(new BonusQuokka(1690, 560));\n happyCloud = new HappyCloud(2220, 300);\n planets.add(new Obstacle(2490, 500, \"greenPlanet.png\"));\n planets.add(new Obstacle(2490, 30, \"greenPlanet.png\"));\n break;\n case 9:\n clouds.add(new EvilCloud(300, 20));\n clouds.add(new EvilCloud(600, 550));\n clouds.add(new EvilCloud(900, 30));\n clouds.add(new EvilCloud(1200, 343));\n bonusQuokkas.add(new BonusQuokka(1275, 60));\n clouds.add(new EvilCloud(1500, 30));\n clouds.add(new EvilCloud(1800, 560));\n nebulae.add(new Obstacle(2100, 256, \"nebula.png\"));\n happyCloud = new HappyCloud(2450, 308);\n break;\n case 10:\n nebulae.add(new Obstacle(300, 350, \"nebula.png\"));\n clouds.add(new EvilCloud(500, 50));\n planets.add(new Obstacle(1200, 20, \"greenPlanet.png\"));\n blackHoles.add(new Obstacle(1200, 500, \"blackHole.png\"));\n nebulae.add(new Obstacle(1750, 300, \"nebula.png\"));\n happyCloud = new HappyCloud(2300, 350);\n bonusQuokkas.add(new BonusQuokka(950, 70));\n planets.add(new Obstacle(2700, 500, \"greenPlanet.png\"));\n planets.add(new Obstacle(2700, 30, \"greenPlanet.png\"));\n nebulae.add(new Obstacle(2950, 400, \"nebula.png\"));\n nebulae.add(new Obstacle(2950, 100, \"nebula.png\"));\n break;\n }\n break;\n case 6:\n levelBackground = new Texture(\"futureBackground.png\");\n switch(level){\n case 1:\n walls.add(new Wall(-100,380, \"futureWall.png\"));\n walls.add(new Wall(-100, -215, \"futureWall.png\"));\n portals.add(new Obstacle(25, 50, \"portal.png\"));\n walls.add(new Wall(200,380, \"futureWall.png\"));\n walls.add(new Wall(200, -215, \"futureWall.png\"));\n portals.add(new Obstacle(450, 600, \"portal.png\"));\n clouds.add(new EvilCloud(600, 100));\n bonusQuokkas.add(new BonusQuokka(450, 20));\n clouds.add(new EvilCloud(850, 600));\n happyCloud = new HappyCloud(1200, 550);\n break;\n case 2:\n walls.add(new Wall(200, -50, \"futureWall.png\"));\n laserGuns.add(new LaserGun(350, 50));\n clouds.add(new EvilCloud(600, 350));\n bonusQuokkas.add(new BonusQuokka(700, 50));\n walls.add(new Wall(1100, 350, \"futureWall.png\"));\n walls.add(new Wall(1500, -220, \"futureWall.png\"));\n happyCloud = new HappyCloud(1650, 50);\n break;\n case 3:\n drones.add(new Drone(400, 600));\n walls.add(new Wall(652, 350, \"futureWall.png\"));\n walls.add(new Wall(950, -150, \"futureWall.png\"));\n drones.add(new Drone(1300, 50));\n clouds.add(new EvilCloud(1500, 250));\n bonusQuokkas.add(new BonusQuokka(1550, 20));\n clouds.add(new EvilCloud(1750, 250));\n happyCloud = new HappyCloud(1950, 20);\n break;\n case 4:\n walls.add(new Wall(200, -130, \"futureWall.png\"));\n bonusQuokkas.add(new BonusQuokka(600, 200));\n laserGuns.add(new LaserGun(950, 550));\n laserGuns.add(new LaserGun(1100, 0));\n happyCloud = new HappyCloud(1050, 250);\n break;\n case 5:\n walls.add(new Wall(0, 427, \"horizontFutureWall.png\"));\n walls.add(new Wall(-595, 427, \"horizontFutureWall.png\"));\n portals.add(new Obstacle(781, 600, \"portal.png\"));\n portals.add(new Obstacle(-300, 266, \"portal.png\"));\n portals.add(new Obstacle(331, 266, \"portal.png\"));\n walls.add(new Wall(-718, -45, \"futureWall.png\"));\n walls.add(new Wall(595, -45, \"futureWall.png\"));\n clouds.add(new EvilCloud(751, 350));\n clouds.add(new EvilCloud(1250, 350));\n bonusQuokkas.add(new BonusQuokka(1100, 400));\n portals.add(new Obstacle(1050, 175, \"portal.png\"));\n portals.add(new Obstacle(1300, 550, \"portal.png\"));\n clouds.add(new EvilCloud(1850, 595));\n walls.add(new Wall(2100, 0, \"futureWall.png\"));\n portals.add(new Obstacle(2243, 350, \"portal.png\"));\n happyCloud = new HappyCloud(2483, 100);\n break;\n case 6:\n walls.add(new Wall(650, 250, \"futureWall.png\"));\n laserGuns.add(new LaserGun(450, 500));\n portals.add(new Obstacle(800, 600, \"portal.png\"));\n walls.add(new Wall(1050, -211, \"futureWall.png\"));\n walls.add(new Wall(1050, 384, \"futureWall.png\"));\n portals.add(new Obstacle(1200, 50, \"portal.png\"));\n drones.add(new Drone(1800, 650));\n walls.add(new Wall(2050, -100, \"futureWall.png\"));\n bonusQuokkas.add(new BonusQuokka(2250, 50));\n clouds.add(new EvilCloud(2700, 550));\n walls.add(new Wall(3200, -50, \"futureWall.png\"));\n happyCloud = new HappyCloud(3400, 50);\n break;\n case 7:\n drones.add(new Drone(-250, 450));\n clouds.add(new EvilCloud(250, 500));\n portals.add(new Obstacle(500, 250, \"portal.png\"));\n clouds.add(new EvilCloud(450, 0));\n bonusQuokkas.add(new BonusQuokka(770, 250));\n portals.add(new Obstacle(600, 550, \"portal.png\"));\n walls.add(new Wall(1020, -95, \"futureWall.png\"));\n drones.add(new Drone(1170, 50));\n clouds.add(new EvilCloud(1470, 550));\n clouds.add(new EvilCloud(1720, 150));\n happyCloud = new HappyCloud(2190, 0);\n break;\n case 8:\n walls.add(new Wall(150, 350, \"futureWall.png\"));\n portals.add(new Obstacle(300, 600, \"portal.png\"));\n walls.add(new Wall(475, -175, \"futureWall.png\"));\n switches.add(new Obstacle(625, 0, \"wallSwitch.png\"));\n walls.add(new Wall(475, 420, switches, 900, \"futureWall.png\"));\n walls.add(new Wall(598, 420, \"horizontFutureWall.png\"));\n portals.add(new Obstacle(1015, 239, \"portal.png\"));\n walls.add(new Wall(1193, -52, \"futureWall.png\"));\n walls.add(new Wall(1518, 375, \"futureWall.png\"));\n bonusQuokkas.add(new BonusQuokka(2100, 580));\n clouds.add(new EvilCloud(2050, 380));\n walls.add(new Wall(2300, 250, \"futureWall.png\"));\n happyCloud = new HappyCloud(2500, 450);\n break;\n case 9:\n drones.add(new Drone(150, 10));\n walls.add(new Wall(350, -175, \"futureWall.png\"));\n portals.add(new Obstacle(473, 50, \"portal.png\"));\n walls.add(new Wall(637, 270, \"futureWall.png\"));\n walls.add(new Wall(760, 270, \"horizontFutureWall.png\"));\n walls.add(new Wall(1355, 270, \"horizontFutureWall.png\"));\n walls.add(new Wall(637, -325, \"futureWall.png\"));\n laserGuns.add(new LaserGun(1267, 20));\n portals.add(new Obstacle(760, 400, \"portal.png\"));\n portals.add(new Obstacle(1705, 400, \"portal.png\"));\n portals.add(new Obstacle(2078, 400, \"portal.png\"));\n walls.add(new Wall(1950, 270, \"futureWall.png\"));\n bonusQuokkas.add(new BonusQuokka(2191, 105));\n laserGuns.add(new LaserGun(2741, 150));\n happyCloud = new HappyCloud(2991, 400);\n break;\n case 10:\n laserGuns.add(new LaserGun(-450, 600));\n laserGuns.add(new LaserGun(-450, 100));\n walls.add(new Wall(300, 575, \"futureWall.png\"));\n clouds.add(new EvilCloud(550, 30));\n walls.add(new Wall(950, 375, \"futureWall.png\"));\n laserGuns.add(new LaserGun(1100, 600));\n clouds.add(new EvilCloud(1250, 50));\n bonusQuokkas.add(new BonusQuokka(1550, 50));\n walls.add(new Wall(1700, -150, \"futureWall.png\"));\n walls.add(new Wall(2100, 300, \"futureWall.png\"));\n happyCloud = new HappyCloud(2300, 500);\n break;\n }\n break;\n /*case 7:\n switch(level){\n case 1:\n stoplights.add(new Stoplight(200, 568));\n moveWalls.add(new MoveWall(300, 384, 192, 384, 3, stoplights.get(0)));\n walls.add(new Wall(300, -211));\n switches.add(new Obstacle(500, 20, \"wallSwitch.png\"));\n walls.add(new Wall(750, -211));\n walls.add(new Wall(750, 384, switches, 384));\n airplanes.add(new Airplane(1150, 600, -100, 0));\n happyCloud = new HappyCloud(950, 50);\n break;\n case 2:\n walls.add(new Wall(200, 200));\n stoplights.add(new Stoplight(450, 568));\n moveWalls.add(new MoveWall(550, 384, 130, 384, 3, stoplights.get(0)));\n moveWalls.add(new MoveWall(673, 384, 130, 384, 3, stoplights.get(0)));\n moveWalls.add(new MoveWall(796, 384, 130, 384, 3, stoplights.get(0)));\n walls.add(new Wall(550, -211));\n walls.add(new Wall(673, -211));\n walls.add(new Wall(796, -211));\n clouds.add(new EvilCloud(1119, 575));\n happyCloud = new HappyCloud(1369,50);\n break;\n case 3:\n walls.add(new Wall(250, 534));\n walls.add(new Wall(250, -361));\n airplanes.add(new Airplane(550, 234, -150, 0));\n walls.add(new Wall(750, -95));\n airplanes.add(new Airplane(1050, 500, -150, 0));\n walls.add(new Wall(1250, 200));\n happyCloud = new HappyCloud(1400, 500);\n break;\n case 4:\n airplanes.add(new Airplane(300, 600, -150, 0));\n airplanes.add(new Airplane(300, 50, -150, 0));\n airplanes.add(new Airplane(800, 350, -150, 0));\n airplanes.add(new Airplane(1300, 350, -150, 0));\n airplanes.add(new Airplane(1300, 600, -150, 0));\n airplanes.add(new Airplane(1800, 350, -150, 0));\n airplanes.add(new Airplane(1800, 50, -150, 0));\n happyCloud = new HappyCloud(1350, 50);\n break;\n case 5:\n stoplights.add(new Stoplight(200, 568));\n moveWalls.add(new MoveWall(300, 645, 150, 100, 2, stoplights.get(0), \"horizontWall.png\"));\n moveWalls.add(new MoveWall(300, 522, 150, 100, 2, stoplights.get(0), \"horizontWall.png\"));\n moveWalls.add(new MoveWall(895, 645, 150, 100, 0, stoplights.get(0), \"horizontWall.png\"));\n moveWalls.add(new MoveWall(895, 522, 150, 100, 0, stoplights.get(0), \"horizontWall.png\"));\n stoplights.add(new Stoplight(200, 0));\n moveWalls.add(new MoveWall(300, 0, 150, 100, 2, stoplights.get(1), \"horizontWall.png\"));\n moveWalls.add(new MoveWall(300, 123, 150, 100, 2, stoplights.get(1), \"horizontWall.png\"));\n moveWalls.add(new MoveWall(895, 0, 150, 100, 0, stoplights.get(1), \"horizontWall.png\"));\n moveWalls.add(new MoveWall(895, 123, 150, 100, 0, stoplights.get(1), \"horizontWall.png\"));\n airplanes.add(new Airplane(910, 334, -150, 0));\n airplanes.add(new Airplane(1520, 334, -150, 0));\n happyCloud = new HappyCloud(1520, 550);\n break;\n case 6:\n windGusts.add(new Obstacle(300, 369, 1190, 399));\n stoplights.add(new Stoplight(200, 0));\n moveWalls.add(new MoveWall(300, 0, 150, 100, 2, stoplights.get(0), \"horizontWall.png\"));\n moveWalls.add(new MoveWall(300, 123, 150, 100, 2, stoplights.get(0), \"horizontWall.png\"));\n moveWalls.add(new MoveWall(895, 0, 150, 100, 0, stoplights.get(0), \"horizontWall.png\"));\n moveWalls.add(new MoveWall(895, 123, 150, 100, 0, stoplights.get(0), \"horizontWall.png\"));\n clouds.add(new EvilCloud(1690, 550));\n clouds.add(new EvilCloud(2140, 0));\n airplanes.add(new Airplane(2390, 550, -150, 0));\n happyCloud = new HappyCloud(2390, 550);\n break;\n case 7:\n airplanes.add(new Airplane(300, 880, 0, -150));\n stoplights.add(new Stoplight(550, 568));\n walls.add(new Wall(650, -211));\n moveWalls.add(new MoveWall(650, 384, 130, 384, 3, stoplights.get(0)));\n airplanes.add(new Airplane(850, 0, 0, 150));\n stoplights.add(new Stoplight(1150, 568));\n walls.add(new Wall(1250, -211));\n moveWalls.add(new MoveWall(1250, 384, 130, 384, 3, stoplights.get(0)));\n airplanes.add(new Airplane(1450, 880, 0, -150));\n stoplights.add(new Stoplight(1750, 568));\n walls.add(new Wall(1850, -211));\n moveWalls.add(new MoveWall(1850, 384, 130, 384, 3, stoplights.get(0)));\n airplanes.add(new Airplane(20, 880, 0, -150));\n break;\n case 8:\n walls.add(new Wall(-200, 350, \"horizontWall.png\"));\n airplanes.add(new Airplane(-400, 500, 150, 0));\n airplanes.add(new Airplane(-400, 100, 150, 0));\n walls.add(new Wall(700, 350, \"horizontWall.png\"));\n walls.add(new Wall(1172, 473));\n walls.add(new Wall(1595, -122));\n walls.add(new Wall(1718, 261, \"horizontWall.png\"));\n walls.add(new Wall(2563, 384));\n windGusts.add(new Obstacle(2313, 100, 250, 434));\n bonusQuokkas.add(new BonusQuokka(1800, 50));\n happyCloud = new HappyCloud(2736, 410);\n break;\n case 9:\n walls.add(new Wall(200, -200));\n stoplights.add(new Stoplight(450, 169));\n bonusQuokkas.add(new BonusQuokka(400, 50));\n moveWalls.add(new MoveWall(650, 369, 150, 100, 2, stoplights.get(0)));\n moveWalls.add(new MoveWall(650, 246, 150, 100, 2, stoplights.get(0)));\n moveWalls.add(new MoveWall(650, 123, 150, 100, 2, stoplights.get(0)));\n moveWalls.add(new MoveWall(650, 0, 150, 100, 2, stoplights.get(0)));\n walls.add(new Wall(1245, 369));\n walls.add(new Wall(1245, 246));\n walls.add(new Wall(1245, 123));\n walls.add(new Wall(1717, 492));\n airplanes.add(new Airplane(1840, 292, -150, 0));\n airplanes.add(new Airplane(1840, 130, -150, 0));\n airplanes.add(new Airplane(2090, 550, 0, -150));\n happyCloud = new HappyCloud(2290, 550);\n break;\n case 10:\n walls.add(new Wall(250, -250));\n walls.add(new Wall(373, 222, \"horizontWall.png\"));\n stoplights.add(new Stoplight(2063, 145));\n moveWalls.add(new MoveWall(968, 222, 250, 500, 0, stoplights.get(0), \"horizontWall.png\"));\n walls.add(new Wall(1563, 345));\n bonusQuokkas.add(new BonusQuokka(1743, 550));\n walls.add(new Wall(1940, 345));\n clouds.add(new EvilCloud(1890, -50));\n clouds.add(new EvilCloud(2440, 250));\n airplanes.add(new Airplane(2740, 500, -100, 0));\n happyCloud = new HappyCloud(2740, 50);\n break;\n }\n break;\n case 8:\n world = 8;\n switch(level){\n /*case 1:\n levelBackground = new Texture(\"level1Background.png\");\n bonusQuokkas.add(new BonusQuokka(200, 400));\n happyCloud = new HappyCloud(500, 200);\n break;\n case 2:\n levelBackground = new Texture(\"level3Background.png\");\n walls.add(new Wall(350, -80, \"wall.png\"));\n walls.add(new Wall(850, -230, \"wall.png\"));\n clouds.add(new EvilCloud(1200, 460));\n bonusQuokkas.add(new BonusQuokka(1200, 10));\n happyCloud = new HappyCloud(500, 50);\n break;\n case 3:\n levelBackground = new Texture(\"dino1Back.png\");\n walls.add(new Wall(330, -200, \"stump.png\"));\n meteors.add(new Meteor(600, 880, 0, 0));\n tallDinos.add(new TallDino(700, -150, 1100, 200));\n meteors.add(new Meteor( 1800, 880, 5, 0));\n happyCloud = new HappyCloud(1450, 50);\n break;\n case 4:\n levelBackground = new Texture( \"dino2Back.png\");\n tallDinos.add(new TallDino( -50, -150, 100, 200));\n tallDinos.add(new TallDino( 0, -150, 250, 200));\n tallDinos.add(new TallDino( 200, -150, 500, 200));\n tallDinos.add(new TallDino( 300, -150, 700, 200));\n tallDinos.add(new TallDino( 500, -150, 900, 200));\n tallDinos.add(new TallDino( 800, -150, 1200, 200));\n happyCloud = new HappyCloud(1300, 50);\n break;\n case 1:\n levelBackground = new Texture(\"level2Background.png\");\n hawks.add(new Hawk(400,150));\n happyCloud = new HappyCloud(850, 300);\n break;\n\n }\n break;*/\n }\n if(world == 3){\n int i;\n for(i = -220; i < happyCloud.getPosCloud().y; i+=595){\n walls.add(new Wall(-30, i));\n walls.add(new Wall(cam.viewportWidth- 10, i));\n \n }\n \n walls.add(new Wall(93, i - 123, \"horizontWall.png\"));\n walls.add(new Wall(688, i - 123, \"horizontWall.png\"));\n }\n else if(world == 5){\n for(int i = -877; i < happyCloud.getPosCloud().x + 2000; i+=595){\n walls.add(new Wall(i, -100, \"horizontAsteroidBelt.png\"));\n walls.add(new Wall(i, cam.viewportHeight - 10, \"horizontAsteroidBelt.png\"));\n }\n }\n if(portals.size > 0){\n portalAnimation = new Animation(\"portalFrames\", \"Portal_Final00\", 100, 1.5f);\n }\n if(blackHoles.size > 0){\n //blackHoleAnimation = new Animation(\"blackHoleFrames\", \"Blackhole_Final00\", 100, 0.5f);\n }\n collectedQuokkas.setSize(bonusQuokkas.size);\n }","title":""},{"docid":"e972458e2a64899882dadec122501ef2","score":"0.5454823","text":"public MWWorld() {\n\t\tsuper(new BoundedGrid<Actor> (GRID_WIDTH, GRID_LENGTH));\n\t\tthis.grid = (BoundedGrid<Actor>)(super.getGrid());\n\t\tthis.isFirstRound = true;\n\t\tthis.gameOver = false;\n\t\tthis.mwsh = new MWSoundHandler();\n\t\t\n\t\t/* set up the KeyEventDispatcher. The method that handles KeyEvents\n\t\t * is part of the MWWorld class (see below).\n\t\t */\n\t\tthis.kfm = KeyboardFocusManager.getCurrentKeyboardFocusManager();\n\t\tthis.ked = new KeyEventDispatcher() { // an anonymous class :P\n\t\t\tpublic boolean dispatchKeyEvent(KeyEvent event) {\n\t\t\t\treturn MWWorld.this.dispatch(event);\n\t\t\t}\n\t\t};\n\t\tthis.kfm.addKeyEventDispatcher(this.ked);\n\t\t\n\t\tthis.score1 = this.score2 = 0;\n\t\t\n\t\tstoplight = null;\n\t\tstoplightBoundary = null;\n\t\texpBlocks = null;\n\t\tpowers = null;\n\t\t\n\t\tsuper.setMessage(\n\t\t\t\t\t\t \"Use the arrow keys(Player 2/Red) or the a/s/d/w keys(Player 1/Blue)\"\n\t\t\t\t\t\t + \"to make the MinuWaller turn left or right.\\nSet the slider below to the Fastest setting and resize this window to the size of the grid \"\n\t\t\t\t\t\t + \"for the best gameplay experience.\"\n\t\t\t\t\t\t );\n\t\t\n\t\tp1 = p2 = null;\n\t\t\n\t\tthis.steps = 0;\n\t\tisPaused = false;\n\t}","title":""},{"docid":"91eee7efb00d0289362995f41aa87672","score":"0.545425","text":"@Override\n\tpublic void init(GLAutoDrawable arg0) {\n\t g3d = Graphics3D.getInstance ();\n\t wld = new World ();\n\t \n\t Camera cam = new Camera ();\n\t cam.translate (0,0,5);\n\t wld.addChild (cam);\n\t wld.setActiveCamera (cam);\n\n\t VertexArray positions = new VertexArray (4, 3, 2);\n\t short[] positionValues = {1,-1,0, 1,1,0, -1,-1,0, -1,1,0};\n\t positions.set (0, 4, positionValues);\n\n\t VertexArray colors = new VertexArray (4, 3, 1);\n\t byte colorValues[] = {127,127,127, 127,127,127, 127,127,127, 127,127,127};\n\t colors.set (0, 4, colorValues);\n\n\t VertexArray texCoords = new VertexArray (4, 2, 2);\n\t short texCoordValues[] = {1,0, 1,1, 0,0, 0,1};\n\t texCoords.set (0, 4, texCoordValues);\n\n\t float scale = 1;\n\t float[] bias = {0,0,0};\n\t VertexBuffer vertices = new VertexBuffer ();\n\t vertices.setPositions (positions, scale, bias);\n\t vertices.setColors (colors);\n\t vertices.setTexCoords (0, texCoords, scale, bias);\n\t vertices.setTexCoords (1, texCoords, scale, bias);\n\t \n\t int[] strips = {3,3};\n\t int[] indices = {0,1,2, 2,1,3};\n\n\t \n\t TriangleStripArray tris = new TriangleStripArray (indices, strips);\n\n\t Image2D img0 = null;\n\t try {\n\t \timg0 = (Image2D)(Loader.load (\"res/yumemi.png\")[0]);\n\t } catch (IOException e) {\n\t \te.printStackTrace();\n\t }\n \tTexture2D tex0 = new Texture2D (img0);\n\n\t Image2D img1 = null;\n\t try {\n\t \timg1 = (Image2D)(Loader.load (\"res/onnanoko.png\")[0]);\n\t } catch (IOException e) {\n\t \te.printStackTrace();\n\t }\n\t \n\t Texture2D tex1 = new Texture2D (img1);\n\t tex1.setBlending (Texture2D.FUNC_DECAL);\n\n\t Appearance app = new Appearance ();\n\t app.setTexture (0, tex0);\n\t app.setTexture (1, tex1);\n\n\t Mesh mesh = new Mesh (vertices, tris, app);\n\t mesh.translate (0,0,2);\n\t wld.addChild (mesh);\n\t}","title":""},{"docid":"ec553e7e2734e46b224499fc7d59ce63","score":"0.54542476","text":"public static World getWorld () {\n // make sure we have a world, just in case...\n if (ourWorld == null) { throw new Error(\"call initWorld() before you call getWorld()!\"); }\n\n return ourWorld;\n }","title":""},{"docid":"e2a66c13e475f4c254580835463fde1d","score":"0.54463756","text":"public static void initWorld() {\r\n world = new WorldTest();\r\n run = new Runtime(world);\r\n }","title":""},{"docid":"3a79986c5fb417d0784132a5f103e140","score":"0.5435912","text":"@Override\n\tpublic BulletWorld createWorld() {\n\t\tbtDefaultCollisionConfiguration collisionConfiguration = new btDefaultCollisionConfiguration();\n\t\tbtCollisionDispatcher dispatcher = new btCollisionDispatcher(collisionConfiguration);\n\t\tbtAxisSweep3 sweep = new btAxisSweep3(new Vector3(-1000, -1000, -1000), new Vector3(1000, 1000, 1000));\n\t\tbtSequentialImpulseConstraintSolver solver = new btSequentialImpulseConstraintSolver();\n\t\tbtDiscreteDynamicsWorld collisionWorld = new btDiscreteDynamicsWorld(dispatcher, sweep, solver, collisionConfiguration);\n ghostPairCallback = new btGhostPairCallback();\n\t\tsweep.getOverlappingPairCache().setInternalGhostPairCallback(ghostPairCallback);\n\t\treturn new BulletWorld(collisionConfiguration, dispatcher, sweep, solver, collisionWorld);\n\t}","title":""},{"docid":"e44018fd3da17c626006a5805207d791","score":"0.5432057","text":"public WorldPanel() {\n super(true); // 11/1\n //setOpaque(false);\n initialize();\n }","title":""},{"docid":"efbf1946f68ab64d436b4489aafec4bf","score":"0.5430891","text":"public MyAgent(World world)\n {\n w = world; \n }","title":""},{"docid":"da6483fe1c1f0a6eb7d65f241382e639","score":"0.5429529","text":"public WorldScene makeScene() {\n WorldScene scene = new WorldScene(this.width, this.height);\n // display grid on worldscene\n for (int i = 0; i < this.grid.size(); i += 1) {\n ArrayList<Cell> row = this.grid.get(i);\n for (int j = 0; j < row.size(); j += 1) {\n Cell curr = row.get(j);\n if (i == 0 && j == 0) {\n curr.clr = new Color(0, 100, 0);\n } else if (i == this.grid.size() - 1 && j == row.size() - 1) {\n curr.clr = new Color(128, 0, 128);\n } else if (j == this.curLoc.x && i == this.curLoc.y) {\n curr.clr = new Color(0, 255,0);\n }\n scene.placeImageXY(curr.renderCell(), j * this.cellSize, i * this.cellSize);\n }\n }\n RectangleImage border = new RectangleImage(this.width * this.cellSize,\n this.height * this.cellSize, OutlineMode.OUTLINE, Color.GRAY);\n scene.placeImageXY(border, this.width * this.cellSize / 2,\n this.height * this.cellSize / 2);\n\n if ((this.curLoc.x == this.width - 1) && (this.curLoc.y == this.height - 1)) {\n TextImage t = new TextImage(\"You solved the maze with \"\n + this.playerWrongMoves()\n + \" wrong moves\", Color.BLACK);\n if (this.height * this.cellSize > 680) {\n scene.placeImageXY(t, 550, 690);\n } else {\n scene.placeImageXY(t, 550, this.height * this.cellSize + 10);\n }\n }\n\n if (searchedMaze) {\n TextImage t = new TextImage(\"The search algorithm had: \"\n + this.search.numWrongMoves()\n + \" wrong moves\", Color.BLACK);\n if (this.height * this.cellSize > 700) {\n scene.placeImageXY(t, 550, 710);\n } else {\n scene.placeImageXY(t, 550, this.height * this.cellSize + 30);\n }\n }\n\n\n return scene;\n }","title":""},{"docid":"1fd5d13a0a8d09a739bf5eab35b4175e","score":"0.5426534","text":"static public World Build(){\n\t\t// creates a world \n\t\treturn new World(){\n\t\t\t@Override\n\t\t\t// this overrides the init that is called by the constructor\n\t\t\tprotected void init(){\n\t\t\t\t// list of the states to store\n\t\t\t\tArrayList <State> states = new ArrayList<>();\n\t\t\t\t// list of the continents to store\n\t\t\t\tArrayList <Continent> continents = new ArrayList<>();\n\t\t\t\t// list of list of states. each element of the list (one for each continent) is the list of states that are in that continent\n\t\t\t\tArrayList <List<State>> continent_ownership = new ArrayList<>();\n\t\t\t\t\n\t\t\t\t// color to associate to the continents. 6 as speciefied in constatns file\n\t\t\t\tfinal Color[] colors = { Color.YELLOW, Color.BLUE, Color.GREEN, Color.PINK, Color.ORANGE, Color.CYAN };\n\t\t\t\t\n\t\t\t\tfor ( int i=0; i<Constants.NUM_CONTINENTS; i++ )\n\t\t\t\t\t// for each continent a new continent is added the list after been instantiad and initialized\n\t\t\t\t\tcontinents.add( new Continent(i){\n\t\t\t\t\t\t@Override\n\t\t\t\t\t\t// init called by the constructor\n\t\t\t\t\t\tprotected void init(int i){\n\t\t\t\t\t\t\tthis.name = Constants.CONTINENT_NAMES[i];\n\t\t\t\t\t\t\tthis.index = i;\n\t\t\t\t\t\t\tthis.color = colors[i];\n\t\t\t\t\t\t\tthis.value = Constants.CONTINENT_VALUES[i];\n\t\t\t\t\t\t\t// WORINNG: if states list is return by some getter, it will expose the internal rep.\n\t\t\t\t\t\t\tthis.states = new ArrayList<State>();\n\t\t\t\t\t\t\t// must be temporanly memorized to add elements later\n\t\t\t\t\t\t\tcontinent_ownership.add( this.states );\n\t\t\t\t\t\t}\n\t\t\t\t\t} );\n\t\t\t\t\n\t\t\t\t// default neutral player \n\t\t\t\tNeutralPlayer default_player = new NeutralPlayer(0,\"Default\");\n\t\t\t\tfor ( int i=0; i<Constants.NUM_COUNTRIES; i++ )\n\t\t\t\t\t// for each country a new country is added the list after been instantiad and initialized\n\t\t\t\t\tstates.add( new State( i ){\n\t\t\t\t\t\t@Override\n\t\t\t\t\t\t// call by the constructor\n\t\t\t\t\t\tprotected void init(int i) {\n\t\t\t\t\t\t\tthis.index = i;\n\t\t\t\t\t\t\tthis.name = Constants.COUNTRY_NAMES[i];\n\t\t\t\t\t\t\tthis.x = Constants.COUNTRY_COORD[i][0];\n\t\t\t\t\t\t\tthis.y = Constants.COUNTRY_COORD[i][1];\n\t\t\t\t\t\t\tthis.adjacent = Constants.ADJACENT[i];\n\t\t\t\t\t\t\tthis.continent = continents.get( Constants.CONTINENT_IDS[i] );\n\t\t\t\t\t\t\tthis.setOwner(default_player);\n\t\t\t\t\t\t\t// it adds itself to the continent list of states\n\t\t\t\t\t\t\tcontinent_ownership.get( Constants.CONTINENT_IDS[i] ).add( this );\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\n\t\t\t\t// since the lists are returned by getters, it is safer not to allow to modify them\n\t\t\t\tthis.states = Collections.unmodifiableList( states );\n\t\t\t\tthis.continents = Collections.unmodifiableList( continents );\n\t\t\t}\n\t\t};\n\t}","title":""},{"docid":"39bf850f84e965229daa0d96dcda1e61","score":"0.54257035","text":"public GameWorld makeGameWorld(String gameName, Vector frameSize, double frameRate,\n Vector minScreen, Vector maxScreen)\n throws IOException, SAXException, ParserConfigurationException, GameObjectMakerException {\n\n CollisionsParser collisionsParser = new CollisionsParser();\n Map<String, Map<String, List<MethodBundle>>> collisions = collisionsParser\n .parseCollisions(new File(\"data/\" + gameName + \"/collisions.xml\"));\n\n List<GameObject> gameObjects = new ArrayList<>();\n List<GameObject> actors = new ArrayList<>();\n\n for (GameObjectMaker gameObjectMaker : gameObjectMakerList) {\n GameObject gameObject = gameObjectMaker.createGameObject();\n\n if (gameObject instanceof Destroyable) {\n actors.add(gameObject);\n }\n gameObjects.add(gameObject);\n }\n\n if (player == null) {\n throw new GameObjectMakerException(\"Must have a valid Player\");\n }\n\n LevelParser levelParser = new LevelParser(new File(\"data/\" + gameName + \"/Level1.xml\"));\n return new GameWorld(player, collisions, gameObjects, actors, frameSize, 3,\n levelParser.getGlobalGravity(), frameRate, minScreen, maxScreen);\n }","title":""},{"docid":"d5bbf383818b03e8dee874b8feaddf34","score":"0.5420657","text":"public myWorld()\n { \n // Create a new world with 1200x800 cells with a cell size of 1x1 pixels.\n super(1200, 800, 1); \n // adding walls, cherries, player, and the exit to the maze\n addObject(new wallTwo(), 126, 436);\n addObject(new wallTwo(), 126, 611);\n addObject(new wallTwo(), 454, 619);\n addObject(new wallTwo(), 353, 237);\n addObject(new wallTwo(), 235, 189);\n addObject(new wallTwo(), 454, 676);\n addObject(new wallTwo(), 126, 274);\n addObject(new wallTwo(), 21, 83);\n addObject(new wallTwo(), 1090, 24);\n addObject(new wallTwo(), 596, 614);\n addObject(new wallTwo(), 967, 215);\n addObject(new wallTwo(), 771, 88);\n addObject(new wallTwo(), 967, 366);\n addObject(new wallTwo(), 1090, 276);\n addObject(new wallTwo(), 1090, 444);\n addObject(new wallTwo(), 850, 265);\n addObject(new wallTwo(), 233, 612);\n addObject(new wallTwo(), 233, 711);\n addObject(new wallTwo(), 342, 543);\n addObject(new wallTwo(), 342, 599);\n addObject(new wallTwo(), 596, 543);\n addObject(new wall(), 292, 436);\n addObject(new wall(), 562, 306);\n addObject(new wall(), 319, 82);\n addObject(new wall(), 762, 435);\n addObject(new wall(), 436, 781);\n addObject(new wall(), 935, 781);\n addObject(new wall(), 1134, 654);\n addObject(new wall(), 1070, 18);\n addObject(new wall(), 968, 18);\n addObject(new wall(), 1012, 539);\n addObject(new wall(), 902, 539);\n addObject(new wall(), 604, 82);\n addObject(new wall(), 647, 196);\n addObject(new wall(), 562, 306);\n addObject(new wall(), 663, 650);\n addObject(new question(), 183, 379);\n addObject(new question(), 421, 244);\n addObject(new question(), 783, 377);\n addObject(new question(), 523, 581);\n addObject(new question(), 526, 714);\n addObject(new question(), 1158, 482);\n addObject(new Exit(), 1162, 737);\n addObject(player, 50, 750);\n }","title":""},{"docid":"a86e871862fcc6aba5080c34783cb0c8","score":"0.5419172","text":"void makeLightWand(double radius, double height, double intensity){\n RiTransformBegin();\n //RiRotate(180.0, 0.0, 1.0, 0.0);\n RiRotate(90.0, 0.0, 0.0, 1.0);\n //RiTranslate(0.0, 0.75*height, 0.0);\n //RiTranslate(0.0, -30.0, 0.0);\n //RiRotate(45.0, 0.0, 1.0, 0.0);\n makeBulb(radius, 1.2 * height);\n RiTranslate(0.0, 1.2 * height / 4.0, 0.0);\n makeLight(radius, height / 2.0, intensity);\n RiTranslate(0.0, -0.75*height, 0.0);\n makeWand(0.5 *radius, 0.75* height);\n RiTransformEnd();\n }","title":""},{"docid":"e6a8f3df08b16551ccad2aabb868d7f4","score":"0.53996444","text":"public void run() {\n createWorld();\n userInterface();\n }","title":""},{"docid":"d14d6960e71175c4e466d5e593a1c77e","score":"0.53911835","text":"public MainGame(PlatformExample game){\n // we save this so we can talk to it later\n this.gameManager = game;\n // create our new player at 100,100\n p1 = new Player(100,100);\n // generate the world\n world = new World();\n }","title":""},{"docid":"8b1c8e6832f8ce50a52964b7ab75af0b","score":"0.53854","text":"private void init() \r\n\t{\r\n\t\tbatch = new SpriteBatch();\r\n\t\tcamera = new OrthographicCamera(Constants.VIEWPORT_WIDTH, \r\n\t\t\t\t\t\t\t\t\t\t Constants.VIEWPORT_HEIGHT);\r\n\t\tcamera.position.set(0,0,0);\r\n\t\tcamera.update();\r\n\t\tcameraGUI = new OrthographicCamera(Constants.VIEWPORT_GUI_WIDTH, Constants.VIEWPORT_GUI_HEIGHT);\r\n\t\tcameraGUI.position.set(0,0,0);\r\n\t\tcameraGUI.setToOrtho(true); //flip y axis\r\n\t\tcameraGUI.update();\r\n\t}","title":""},{"docid":"4ed29e405ecea39fc4ed9ba43ed6d889","score":"0.53845996","text":"public void createWorldAutomatic(String[] parameters) {\n world = new World(Integer.parseInt(parameters[0]), Integer.parseInt(parameters[1]),\n Integer.parseInt(parameters[2]), Integer.parseInt(parameters[3]), Integer.parseInt(parameters[4]));\n try {\n world.loadData();\n } catch (ClassNotFoundException e) {\n e.printStackTrace();\n } catch (IOException e) {\n e.printStackTrace();\n }\n }","title":""},{"docid":"1e1d6d288e05d7993b18d2d4d0673dfc","score":"0.5380165","text":"public PhysicsEngine(RvsB_World world) {\n\t\tthis.world = world;\n\t}","title":""},{"docid":"03b0fc8c2be07e39c9e36c47c463064e","score":"0.5369502","text":"public SmartWorld(int x, int y) {\r\n\t\tsuper(x, y);\r\n\t}","title":""},{"docid":"5677156a96a26d8425d858ce7fe93377","score":"0.536786","text":"public TavernWorld(String config)\n {\n super(config); \n prepare();\n }","title":""},{"docid":"0dd3e9ee9e465c895d432060a3dc508a","score":"0.53593343","text":"public World onTick() {\n return new GameWorld(this.a, this.stones.moveAllStones());\n }","title":""},{"docid":"38ddac5dbf89acf2b4413e01b47ba56f","score":"0.53508013","text":"private OrthographicCamera createCamera() {\n\n OrthographicCamera camera = new OrthographicCamera(VIEWPORT_WIDTH / PIXEL_TO_METER, VIEWPORT_HEIGHT / PIXEL_TO_METER);\n camera.position.set(camera.viewportWidth / 2f, camera.viewportHeight / 2f, 0);\n camera.update();\n\n if (DEBUG_PHYSICS) {\n debugRenderer = new Box2DDebugRenderer();\n debugCamera = camera.combined.cpy();\n debugCamera.scl(1 / PIXEL_TO_METER);\n }\n\n return camera;\n }","title":""},{"docid":"275a023345c4758ebd7ee47c3fe18f0a","score":"0.5349129","text":"public static void setUpCameraLook() {\n\t\tEngine.gl.glMatrixMode(GL2.GL_PROJECTION);\n\t\tEngine.gl.glLoadIdentity();\n\t\tEngine.gl.glFrustumf(-realFOV, realFOV, -realFOV*aspect, realFOV*aspect, 1, 10000);\n\t\tswitch (mode) {\n\t\tcase FREELOOK:\n\t\t\tEngine.gl.glRotatef(pitch, 1, 0, 0);\n\t\t\tEngine.gl.glRotatef(yaw, 0, 1, 0);\n\t\t\tEngine.gl.glTranslatef(-pos.x, -pos.y, -pos.z);\n\t\t\tbreak;\n\t\tcase TARGET:\n\t\t\tEngine.gl.glTranslatef(0, 0, -zoom);\n\t\t\tEngine.gl.glRotatef(pitch, 1, 0, 0);\n\t\t\tEngine.gl.glRotatef(yaw, 0, 1, 0);\n\t\t\tEngine.gl.glTranslatef(-target.x, -target.y, -target.z);\n\t\t\tbreak;\n\t\t}\n\t}","title":""},{"docid":"4535974c5a5cc9be1667fef846260783","score":"0.53479886","text":"public Engine()\n\t{\n\t\tfor( int i = 0; i < world.length; ++i )\n\t\t{\n\t\t\tfor(int j = 0; j < world[i].length; ++j )\n\t\t\t{\n\t\t\t\tworld[i][j] = null;\n\t\t\t}\n\t\t}\n\t\tsetPlayer();\n\t\tsetRooms();\n\t\tsetPowers();\n\t\tsetEnemies(6);\n\t\treveal = false;\n\t\tlevel = 1;\n\t}","title":""},{"docid":"9d20e609824d1cceb1b16c62ad3ed48d","score":"0.53478986","text":"public Camera() {\n\t\tcenterOfProjection = new Vector3f(-5, 0, 20);\n\t\tlookAtPoint = new Vector3f(0, 0, 0);\n\t\tupVector = new Vector3f(0, 1, 0);\n\t\tcameraMatrix = new Matrix4f();\n\t\tthis.updateCamera();\n\t}","title":""},{"docid":"0e60a9af3677fa7a7d20e51f5be7fc8b","score":"0.53407085","text":"public Normalstage()\r\n { \r\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\r\n super(800, 400, 1);\r\n Restart.count = 2;\r\n addObject(new Block(8),33,300);\r\n addObject(new Block(9),770,315);\r\n addObject(new Block(4),115,207);\r\n addObject(new Block(7),219,260);\r\n addObject(new Block(3),318,251);\r\n addObject(new Block(2),365,169);\r\n addObject(new Block(1),438,103);\r\n addObject(new Block(5),540,203);\r\n addObject(new Block(6),670,271);\r\n addObject(new Player(),33,160);\r\n addObject(new Counter(),33,220);\r\n addObject(new Timer(),760,20);\r\n addObject(new Deathcount(),680,20);\r\n addObject(new Restart(),480,370);\r\n addObject(new BacktoMenu(),628,374);\r\n Sound.started();\r\n }","title":""},{"docid":"2356e530ff43dc740ea7ab5401f3b379","score":"0.5336739","text":"public BedrockWorldType() {\n super(\"bedrockworld\");\n }","title":""},{"docid":"f1ba0c9ace233ab5a7e5e74aa36c0ff7","score":"0.5336498","text":"public World getWorld() {\r\n return world;\r\n }","title":""},{"docid":"c4a3114c8b1df16f935311a01cbef265","score":"0.5330704","text":"@Override\n public void robotInit() {\n imu.setYawAxis(IMUAxis.kY);\n m_colorMatcher.addColorMatch(kBlueTarget);\n m_colorMatcher.addColorMatch(kGreenTarget);\n m_colorMatcher.addColorMatch(kRedTarget);\n m_colorMatcher.addColorMatch(kYellowTarget);\n // BEGIN AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\n drivetrain = new Drivetrain();\n winchMotor = new WinchMotor();\n towerMotor = new TowerMotor();\n ballCatcher = new BallCatcher();\n conveyorBelt = new ConveyorBelt();\n shooter = new Shooter();\n server = CameraServer.getInstance();\n UsbCamera camera = server.startAutomaticCapture();\n camera.setResolution(640, 480);\n\n\n\n // END AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\n // OI must be constructed after subsystems. If the OI creates Commands\n //(which it very likely will), subsystems are not guaranteed to be\n // constructed yet. Thus, their requires() statements may grab null\n // pointers. Bad news. Don't move it.\n oi = new OI();\n autonomousCommand = new AutonomousStage();\n\n HAL.report(tResourceType.kResourceType_Framework, tInstances.kFramework_RobotBuilder);\n\n // Add commands to Autonomous Sendable Chooser\n // BEGIN AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=AUTONOMOUS\n\n //chooser.setDefaultOption(\"Autonomous Command\", new AutonomousCommand());\n\n // END AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=AUTONOMOUS\n //SmartDashboard.putData(\"Auto mode\", chooser);\n }","title":""},{"docid":"ef8663668eb01030dc6582c1ac9ea0a6","score":"0.53296494","text":"WorldScene makeWinScene() {\r\n WorldImage amit = new FromFileImage(\"src/amit.jpg\");\r\n WorldImage txt = new TextImage(\"WiNNER WINNER CHICKEN DINNER\", FloodGame.FONT_SIZE * 3,\r\n Color.BLUE);\r\n WorldImage txtAndAmit = new OverlayOffsetAlign(AlignModeX.CENTER, AlignModeY.MIDDLE, txt, 0, 40,\r\n amit);\r\n Utils.playSound(\"/win.wav\", false);\r\n return FloodGame.toWorldScene(txtAndAmit);\r\n }","title":""},{"docid":"7f73768cb378be87b603c332406cc67b","score":"0.53283954","text":"private void prepare()\n {\n worldType = \"TavernWorld\";\n tooltipTitle = \"Welcome, brave warrior! Your quest awaits you!\\nHeal up at the tavern before you head out!\";\n Tavern tavern = new Tavern();\n addObject(tavern, getWidth()/2, getHeight()/2);\n\n // System.out.println(\"Added scoreboard\");\n // addObject(scoreboard,30,100);\n\n\n tavern.setLocation(386,348);\n //WorldManager.getNewInstance();\n }","title":""},{"docid":"68fd59d0347af8c8c0092fdd96c84471","score":"0.5322014","text":"private void createWalls() {\n\n // load tile map and map renderer\n try {\n tileMap = new TmxMapLoader().load(\"maps/level\" + level + \".tmx\");\n } catch (Exception e) {\n System.out.println(\"Cannot find file: maps/level\" + level + \".tmx\");\n e.printStackTrace();\n Gdx.app.exit();\n }\n tileMapWidth = (Integer) tileMap.getProperties().get(\"width\");\n tileMapHeight = (Integer) tileMap.getProperties().get(\"height\");\n tileSize = (Integer) tileMap.getProperties().get(\"tilewidth\");\n tmRenderer = new OrthogonalTiledMapRenderer(tileMap);\n\n TiledMapTileLayer layer;\n layer = (TiledMapTileLayer) tileMap.getLayers().get(\"blocks\");\n createBlocks(layer, B2DVars.BIT_WALKABLE_BLOCK);\n\n }","title":""},{"docid":"7a465fa0fed22f490c32d7239060eb65","score":"0.5312953","text":"public static void init() {\n // BEGIN AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\n driveSpeedControllerL = new Talon(1);\n LiveWindow.addActuator(\"Drive\", \"Speed Controller Right\", (Talon) driveSpeedControllerR);\n \n driveSpeedControllerR = new Talon(0);\n LiveWindow.addActuator(\"Drive\", \"Speed Controller Left\", (Talon) driveSpeedControllerL);\n \n driveTank4WheelRobotDrive = new RobotDrive(driveSpeedControllerL,driveSpeedControllerR);\n \n driveTank4WheelRobotDrive.setSafetyEnabled(true);\r\n driveTank4WheelRobotDrive.setExpiration(0.1);\r\n driveTank4WheelRobotDrive.setSensitivity(0.5);\r\n driveTank4WheelRobotDrive.setMaxOutput(1.0);\r\n\n winchWinchController = new Talon(6);\n LiveWindow.addActuator(\"Winch\", \"Winch Controller\", (Talon) winchWinchController);\n \n analogGyro = new AnalogGyro(0);\n analogGyro.calibrate();\n LiveWindow.addSensor(\"Drive\", \"Gyro\", (AnalogGyro) analogGyro);\n\n // END AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\n }","title":""},{"docid":"8746aa4b6d69616ec546422afc1c3e70","score":"0.53124666","text":"public World createWorld(double width, double height,\n\t\t\tboolean[][] passableMap, Random random){\n\t\t\n\t\ttry{\n\t\tWorld world = new World(width, height, passableMap, random);\n\t\treturn world;\n\t\t}\n\t\tcatch(IllegalArgumentException Exc){\n\t\t\tthrow new ModelException(\"Invalid name\");\n\t\t}\n\t}","title":""},{"docid":"9b19550391f395ed1414edfac4f41f08","score":"0.5310741","text":"public HowToPlay()\n { \n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\n super(1050, 825, 1); \n renderer = new UIRenderer();\n prepare();\n }","title":""},{"docid":"100698417d2844c402183ef52af58fe2","score":"0.5310588","text":"public World(MainScreenController main) {\n\n\t\tmsc = main;\n\n\t\tball = new Ball(100, 100, 20, 100, 0.0, 0.0);\n\t\tgravityMag = 9.81;\n\t\tspeed = 1.0;\n\n\t\tdata = new double[] {0, 0, 0, 0, 0};\n\n\n\t\tcanvas = new Canvas(720, 720);\n\n\t\tobstacles = new ArrayList<Obstacle>();\n\t\tobstacles.add(new Obstacle(0, 0, 0, canvas.getWidth()));\n\t\tobstacles.add(new Obstacle(0, 0, 270, canvas.getHeight()));\n\t\tobstacles.add(new Obstacle(canvas.getWidth(), canvas.getHeight(), 90, canvas.getHeight()));\n\t\tobstacles.add(new Obstacle(0, canvas.getHeight(), 0, canvas.getWidth()));\n\n\t\tgc = canvas.getGraphicsContext2D();\n\n\t\tball.draw(gc);\n\n\t\ttimer = new AnimationTimer() {\n\t\t\t@Override\n\t\t\tpublic void handle(long now) {\n\t\t\t\tGraphicsContext gc = canvas.getGraphicsContext2D();\n\n\t\t\t\tgc.setFill(Color.BEIGE);\n\t\t\t\tgc.fillRect(0, 0, canvas.getWidth(), canvas.getHeight());\n\t\t\t\tgc.setFill(Color.BLACK);\n\n\t\t\t\tball.draw(gc);\n\n\t\t\t\tArrayList<Force> forces = new ArrayList<Force>();\n\t\t\t\tforces.add(new Force(270, gravityMag * ball.getMass()));\n\n\t\t\t\tfor (Obstacle o: obstacles) {\n\t\t\t\t\to.drawLine(gc);\n\n\t\t\t\t\tif (ball.collides(o)) {\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\tif (o.getNormalAngle() == 90)\n\t\t\t\t\t\t\tball.bounceY();\n\t\t\t\t\t\telse if (o.getNormalAngle() == 0 || Math.abs(o.getNormalAngle()) == 180) {\n\t\t\t\t\t\t\tball.bounceX();\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\tdouble bAngle = ball.getAngle();\n\t\t\t\t\t\t\tdouble oAngle = 180 - o.getNormalAngle();\n\t\t\t\t\t\t\t\n\n\t\t\t\t\t\t\tif (bAngle < oAngle + 90 && bAngle > oAngle - 90) {\n\t\t\t\t\t\t\t\tdouble fAngle = (oAngle) + (oAngle - bAngle);\n\n\t\t\t\t\t\t\t\tif (o.getAngle() < 90 && o.getAngle() > 0)\n\t\t\t\t\t\t\t\t\tball.setVX(-Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.cos(fAngle*Math.PI/180))));\n\n\t\t\t\t\t\t\t\telse if (-o.getAngle() > 90 && -o.getAngle() < 180)\n\t\t\t\t\t\t\t\t\tball.setVX(-Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.cos(fAngle*Math.PI/180))));\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\telse\n\t\t\t\t\t\t\t\t\tball.setVX(Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.cos(fAngle*Math.PI/180))));\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tball.setVY(-Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.sin(fAngle*Math.PI/180))));\n\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\telse {\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\tdouble fAngle = (oAngle) + (oAngle - bAngle);\n\n\t\t\t\t\t\t\tif (o.getAngle() < 90 && o.getAngle() > 0)\n\t\t\t\t\t\t\t\tball.setVX(Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.cos(fAngle*Math.PI/180))));\n\n\t\t\t\t\t\t\telse if (-o.getAngle() > 90 && -o.getAngle() < 180)\n\t\t\t\t\t\t\t\tball.setVX(Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.cos(fAngle*Math.PI/180))));\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\telse\n\t\t\t\t\t\t\t\tball.setVX(-Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.cos(fAngle*Math.PI/180))));\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\tball.setVY(Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.sin(fAngle*Math.PI/180))));\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tif (ball.getVX() > 800)\n\t\t\t\t\tball.setVX(800);\n\t\t\t\tif (ball.getVY() > 800)\n\t\t\t\t\tball.setVY(800);\n\t\t\t\tif (ball.getVX() < -800)\n\t\t\t\t\tball.setVX(-800);\n\t\t\t\tif (ball.getVY() < -800)\n\t\t\t\t\tball.setVY(-800);\n\t\t\t\t\n\t\t\t\t\n\t\t\t\tball.act(speed, forces);\n\n\t\t\t\tmsc.refreshWorldBar();\n\t\t\t}\n\t\t};\n\t}","title":""},{"docid":"e476755fa24e1d035d2721133909e70b","score":"0.53104615","text":"public static void init() {\r\n // BEGIN AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\r\n drivetrainSpeedController1 = new Talon(0);\r\n LiveWindow.addActuator(\"Drivetrain\", \"Speed Controller 1\", (Talon) drivetrainSpeedController1);\r\n \r\n drivetrainSpeedController2 = new Talon(1);\r\n LiveWindow.addActuator(\"Drivetrain\", \"Speed Controller 2\", (Talon) drivetrainSpeedController2);\r\n \r\n drivetrainSpeedController3 = new Talon(2);\r\n LiveWindow.addActuator(\"Drivetrain\", \"Speed Controller 3\", (Talon) drivetrainSpeedController3);\r\n \r\n drivetrainSpeedController4 = new Talon(3);\r\n LiveWindow.addActuator(\"Drivetrain\", \"Speed Controller 4\", (Talon) drivetrainSpeedController4);\r\n \r\n drivetrainRobotDrive41 = new RobotDrive(drivetrainSpeedController1, drivetrainSpeedController2,\r\n drivetrainSpeedController3, drivetrainSpeedController4);\r\n \r\n drivetrainRobotDrive41.setSafetyEnabled(true);\r\n drivetrainRobotDrive41.setExpiration(0.1);\r\n drivetrainRobotDrive41.setSensitivity(0.5);\r\n drivetrainRobotDrive41.setMaxOutput(1.0);\r\n drivetrainRobotDrive41.setInvertedMotor(RobotDrive.MotorType.kFrontLeft, true);\r\n drivetrainRobotDrive41.setInvertedMotor(RobotDrive.MotorType.kRearLeft, true); \r\n \r\n \r\n // pneumaticsGrabberSolenoid = new DoubleSolenoid(0, 0, 1); \r\n // LiveWindow.addActuator(\"Pneumatics\", \"GrabberSolenoid\", pneumaticsGrabberSolenoid);\r\n limitswitch = new DigitalOutput(3);\r\n \r\n locationGyro = new Gyro(0);\r\n LiveWindow.addSensor(\"Location\", \"Gyro\", locationGyro);\r\n locationGyro.setSensitivity(0.007);\r\n locationAccelerometer = new BuiltInAccelerometer();\r\n LiveWindow.addSensor(\"Location\", \"Accelerometer\", locationAccelerometer);\r\n //locationAccelerometer.setSensitivity(0.0);\r\n //locationAccelerometer.setZero(2.5);\r\n elevatorElevatorController = new Talon(4);\r\n LiveWindow.addActuator(\"Elevator\", \"Elevator Controller\", (Talon) elevatorElevatorController);\r\n ultra = new Ultrasonic(9, 10);\r\n ultra.setAutomaticMode(true);\r\n \r\n \r\n \r\n \r\n \r\n\r\n // END AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\r\n }","title":""},{"docid":"0dfd6c3bc2f3dd920f21d5e6eeb89085","score":"0.5310278","text":"public WorldCup() {\n initComponents();\n }","title":""}],"string":"[\n {\n \"docid\": \"871528cf4b87144eaf7071cdd8a76404\",\n \"score\": \"0.6545384\",\n \"text\": \"World createWorld();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4ed73fffc480b1b0d5b79abd7630c1f9\",\n \"score\": \"0.6404444\",\n \"text\": \"private Level bgWorldSetup() {\\n float w = Gdx.graphics.getWidth();\\n float h = Gdx.graphics.getHeight();\\n\\n camera = new OrthographicCamera();\\n camera.setToOrtho(false, (w / h) * 10, 10);\\n camera.zoom = 2f;\\n camera.update();\\n\\n Random rand = new Random();\\n // Locations.Location data = InvokenGame.LOCATION_READER.readAsset(\\\"WelcomeCenter\\\");\\n LocationGenerator generator = new LocationGenerator(new GameTransition(dummyHandler,\\n getSkin()), GameScreen.getBiome(), rand.nextLong());\\n Level level = generator.generate();\\n Player player = level.createDummyPlayer();\\n\\n // init camera position\\n Vector2 position = player.getCamera().getPosition();\\n camera.position.x = level.scale(position.x, camera.zoom);\\n camera.position.y = level.scale(position.y, camera.zoom);\\n level.setCamera(camera);\\n return level;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e757ba932e1f936524f9e0b7766d9e0\",\n \"score\": \"0.63506925\",\n \"text\": \"public void draw() {\\n moonlander.update();\\n // Draw something\\n // Get values from Rocket using \\n // moonlander.getValue(\\\"track_name\\\") or\\n int r = moonlander.getIntValue(\\\"r\\\");\\n int g = moonlander.getIntValue(\\\"g\\\");\\n int b = moonlander.getIntValue(\\\"b\\\");\\n int stepper = moonlander.getIntValue(\\\"t\\\");\\n \\n randomSeed(stepper);\\n \\n int state = moonlander.getIntValue(\\\"state\\\");\\n \\n int x = moonlander.getIntValue(\\\"x\\\");\\n int y = moonlander.getIntValue(\\\"y\\\");\\n int z = moonlander.getIntValue(\\\"z\\\");\\n float s = PI * ( moonlander.getIntValue(\\\"spin\\\") / 100.0f);\\n\\n int cDis = moonlander.getIntValue(\\\"cameraDis\\\");\\n int cSpi = moonlander.getIntValue(\\\"cameraSpin\\\");\\n\\n float cameraAngle = PI * ( ( moonlander.getIntValue(\\\"angle\\\") + cSpi ) / 100.0f);\\n //camera(mouseX*4- CANVAS_WIDTH + x, mouseY*4- CANVAS_HEIGHT + height/2 + y, (height/2) / tan(PI/6) + z, width/2, height/2, 0, 0, 1, 0);\\n //camera( x, height/2 + y, (height/2) / tan(PI/6) + z, width/2, height/2, 0, 0, 1, 0);\\n //camera( 0, height/2 , (height/2) / tan(PI/6) , width/2 + x , height/2 + y, z, 0, 1, 0);\\n //camera( x, height/2 + y, (height/2) / tan(PI/6) + z, width/2 + x, height/2 + y, z, 0, 1, 0);\\n\\n //camera( 0, height/2 , (height/2) / tan(PI/6) , width/2, height/2, 0, 0, 1, 0);\\n \\n //camera( x, y-10, z, x-cameraPOS[1] * cDis, y-10+0.2, z-cameraPOS[0] * cDis, 0, 1, 0);\\n float[] CPOS = { x +sin(cameraAngle) * cDis, y-cDis/2, z +cos(cameraAngle) * cDis, };\\n \\n if ( state > 6 )\\n CPOS[1] -= moonlander.getIntValue(\\\"enemy0\\\");\\n\\n camera( CPOS[0], CPOS[1], CPOS[2], x , y, z, 0, 1, 0);\\n \\n //camera( 0, 100 , 100 , 100, 100, 0, 0, 1, 0);\\n \\n //println( 0, height/2 , (height/2) / tan(PI/6) , width/2, height/2, 0, 0, 1, 0 );\\n //camera( x, y, z, x, y, z, 0, 1, 0);\\n //camera( 0, height/2 , (height/2) , width/2, height/2, 0, 0, 1, 0);\\n\\n \\n \\n background(r,g,b);\\n \\n \\n \\n drawMap();\\n \\n \\n player.x = x;\\n player.y = y;\\n player.z = z;\\n player.angle = cameraAngle + s;\\n \\n switch(state) {\\n case 1:\\n GobboLogic( gobbo );\\n break;\\n case 2:\\n gobbo.y = moonlander.getIntValue(\\\"enemy0\\\");\\n gobbo.angle = moonlander.getIntValue(\\\"enemy2\\\");\\n break;\\n case 4:\\n plump1.y = moonlander.getIntValue(\\\"enemy0\\\");\\n break;\\n case 5:\\n player.img = PCPLUMP;\\n break;\\n case 8:\\n Creatures = Important;\\n background(CREDITS);\\n break;\\n }\\n \\n HashMap<Integer,Creature> hm = new HashMap<Integer,Creature>();\\n for (int i = 0; i < Creatures.length; i++) {\\n hm.put( PApplet.parseInt(dist(CPOS[0], CPOS[1], CPOS[2], Creatures[i].x, Creatures[i].y, Creatures[i].z)), Creatures[i]);\\n }\\n \\n int[] sorted = {};\\n for(Integer i : hm.keySet())\\n sorted = append( sorted, PApplet.parseInt(i) );\\n sorted = reverse(sort(sorted));\\n \\n for (int i = 0; i < sorted.length; i++) {\\n int key = sorted[i];\\n hm.get(key).update();\\n }\\n\\n //sort(hm.keySet().toArray()); \\n //Creatures[i].update();\\n\\n \\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd635e740816a9d0cdeed5333b585e39\",\n \"score\": \"0.6345214\",\n \"text\": \"public World() {\\n\\t\\tcreateWorld();\\n\\t\\tDisplay();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0dd0d8a1cfd59025ddf68d7b65609778\",\n \"score\": \"0.63329107\",\n \"text\": \"public World() {\\n\\t\\t//this.background = background;\\n\\t\\t//this.size = size;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e1a54b60c3cc895a4c7e02239aa2ca34\",\n \"score\": \"0.6327052\",\n \"text\": \"public void newWorld() {\\r\\n\\t\\tw = new World();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa0cc02019f2822529bcc4bbb87b9f22\",\n \"score\": \"0.6293834\",\n \"text\": \"public RobotWorld()\\n { \\n super(800, 600, 1); \\n addObject(new Robot(), 45, 30);\\n addObject(new Wall(), 60, 150);\\n addObject(new Wall(), 160, 150);\\n addObject(new Wall(), 260, 150);\\n addObject(new Block(), 415, 155);\\n addObject(new Wall(), 570, 150);\\n addObject(new Wall(), 670, 150);\\n addObject(new Wall(), 770, 150);\\n addObject(new Home(), 770, 560);\\n addObject(new ScorePanel(), 70, 560);\\n addObject( new Pizza(), Greenfoot.getRandomNumber(800), Greenfoot.getRandomNumber(80));\\n addObject( new Pizza(), Greenfoot.getRandomNumber(800), Greenfoot.getRandomNumber(80));\\n addObject( new Pizza(), Greenfoot.getRandomNumber(800), Greenfoot.getRandomNumber(600) + 200);\\n addObject( new Pizza(), Greenfoot.getRandomNumber(800), Greenfoot.getRandomNumber(600) + 200);\\n addObject( new Pizza(), Greenfoot.getRandomNumber(800), Greenfoot.getRandomNumber(600) + 200);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a5e2132285c253cb40fd539eacc7837b\",\n \"score\": \"0.6279761\",\n \"text\": \"private void initGame() {\\n\\t\\tworldWidth = 90;\\n\\t\\tworldHeight = 90;\\n\\t\\tblockSize = 10;\\n\\t\\tcameraSpeed = 0.5f;\\n\\t\\tcameraScale = 2;\\n\\n\\t\\ttry {\\n\\t\\t\\tcamera = new OrthographicCamera(worldWidth * cameraScale, worldHeight * cameraScale);\\n\\t\\t\\tEngineLogger.log(\\\"Camera loaded\\\");\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tEngineLogger.log(\\\"CRITICAL ERROR: FAILED TO LOAD CAMERA\\\");\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\n\\t\\t//world = new World(100, 100, 10, camera, cameraSpeed);\\n\\t\\t//world = new World(\\\"worldMaps/spawn.txt\\\", camera, cameraSpeed);\\n\\t\\t//world.spawnPlayer(14,15);\\n\\t\\t//world.spawnMobs(10);\\n\\t\\t\\n\\n\\t\\ttry {\\n\\t\\t\\tworld = new World(\\\"worldMaps/testArena.txt\\\", camera, cameraSpeed);\\n\\t\\t\\tworld.spawnPlayer(45,45);\\n\\t\\t\\t//world.spawnAnimatedMobs(100);\\n\\t\\t\\tEngineLogger.log(\\\"World loaded\\\");\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tEngineLogger.log(\\\"CRITICAL ERROR: FAILED TO LOAD WORLD\\\");\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\n\\t\\ttry {\\n\\t\\t\\trenderEngine = new RenderEngine(world);\\n\\t\\t\\tEngineLogger.log(\\\"Render Engine started\\\");\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tEngineLogger.log(\\\"CRITICAL ERROR: FAILED TO START RENDER ENGINE\\\");\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b4694a3150e491c5a41637675f7dea33\",\n \"score\": \"0.62550634\",\n \"text\": \"public MyWorld()\\n {\\n super(600, 400, 1);\\n prepare();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd392bdc1796e8442a838768e87f4fad\",\n \"score\": \"0.62545645\",\n \"text\": \"public MyWorld()\\n { \\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\n super(600, 400, 1, false);\\n \\n Platform p1 = new Platform();\\n Platform p2 = new Platform();\\n Platform p3 = new Platform();\\n Platform p4 = new Platform();\\n Platform p5 = new Platform();\\n \\n addObject(p1, 181, 260);\\n addObject(p2, 304, 260);\\n addObject(p3, 427, 260);\\n addObject(p4, 243, 172);\\n addObject(p5, 366, 172);\\n \\n Ladder ladder1 = new Ladder();\\n Ladder ladder2 = new Ladder();\\n Ladder ladder3 = new Ladder();\\n Ladder ladder4 = new Ladder();\\n Ladder ladder5 = new Ladder();\\n \\n addObject(ladder1, 126, 294);\\n addObject(ladder2, 301, 294);\\n addObject(ladder3, 478, 294);\\n addObject(ladder4, 225, 207);\\n addObject(ladder5, 377, 207);\\n \\n // add Mario\\n Mario mario = new Mario(\\\"marioSheet2.png\\\", 16, 40, 48);\\n addObject(mario, 40, 314);\\n mario.show();\\n \\n // add coin\\n Coin coin = new Coin(\\\"coinSheet7x32x32.png\\\", 7, 32, 32);\\n addObject(coin, 300, 214);\\n coin.show();\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"af269da86e17024a96c185987ac45685\",\n \"score\": \"0.624473\",\n \"text\": \"public GumballWorld()\\n { \\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\n super(900, 800, 1); \\n prepare();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"946398f62b7f15f7f4fd2c79af41204f\",\n \"score\": \"0.62037635\",\n \"text\": \"public WorldManager() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1e70f14d806be45242fbaee5eb396435\",\n \"score\": \"0.6185324\",\n \"text\": \"private static World initialiseWorld(){\\n\\t\\tWorld world = new World(new Display());\\n\\n\\t\\tFancyGroundFactory groundFactory = new FancyGroundFactory(new Dirt(), new Wall(), new Floor(), new Tree(),\\n\\t\\t\\t\\tnew VendingMachine(), new Water());\\n\\n\\t\\tList<String> map = Arrays.asList(\\n\\t\\t\\t\\t\\\"................................................................................\\\",\\n\\t\\t\\t\\t\\\"....................~~..........................................................\\\",\\n\\t\\t\\t\\t\\\".....#######.......~~~~...............................~~~~~~....................\\\",\\n\\t\\t\\t\\t\\\".....#____V#........~~~.................................~~~~~...................\\\",\\n\\t\\t\\t\\t\\\".....#_____#.............................................~~~....................\\\",\\n\\t\\t\\t\\t\\\".....###.###....................................................................\\\",\\n\\t\\t\\t\\t\\\"................................................................................\\\",\\n\\t\\t\\t\\t\\\"......................................+++.......................................\\\",\\n\\t\\t\\t\\t\\\".......................................++++.....................................\\\",\\n\\t\\t\\t\\t\\\"...................................+++++........................................\\\",\\n\\t\\t\\t\\t\\\".....................................++++++.....................................\\\",\\n\\t\\t\\t\\t\\\"......................................+++.......................................\\\",\\n\\t\\t\\t\\t\\\".....................................+++........................................\\\",\\n\\t\\t\\t\\t\\\"................................................................................\\\",\\n\\t\\t\\t\\t\\\"............+++.................................................................\\\",\\n\\t\\t\\t\\t\\\".............+++++.............~~~..............................................\\\",\\n\\t\\t\\t\\t\\\"...............++...........~~~~~~~~.....................+++++..................\\\",\\n\\t\\t\\t\\t\\\".............+++..........~~~~~~~~~~~...............++++++++....................\\\",\\n\\t\\t\\t\\t\\\"............+++..............~~~~~~~~.................+++.......................\\\",\\n\\t\\t\\t\\t\\\"................................~~~~............................................\\\",\\n\\t\\t\\t\\t\\\".........................................................................++.....\\\",\\n\\t\\t\\t\\t\\\"........................................................................++.++...\\\",\\n\\t\\t\\t\\t\\\".........................................................................++++...\\\",\\n\\t\\t\\t\\t\\\"..........................................................................++....\\\",\\n\\t\\t\\t\\t\\\"................................................................................\\\");\\n\\t\\tGameMap gameMap = new GameMap(groundFactory, map );\\n\\t\\tworld.addGameMap(gameMap);\\n\\n\\t\\t//Adding the second GameMap\\n\\t\\t//The second GameMap will be constructed in a different way to the initial GameMap\\n\\t\\t//However, the second GameMap will still have the same size as the initial\\n\\t\\t//Added to the world.\\n\\t\\tGameMap gameMap2 = new GameMap(groundFactory, '.', 80, 25);\\n\\t\\tworld.addGameMap(gameMap2);\\n\\n\\t\\tActor player = new Player(\\\"Player\\\", '@', 100);\\n\\t\\tworld.addPlayer(player, gameMap.at(8, 4));\\n\\n\\t\\t// Place a pair of stegosaurs in the middle of the map\\n\\t\\tgameMap.at(30, 12).addActor(new Stegosaur());\\n\\t\\tgameMap.at(32, 12).addActor(new Stegosaur());\\n\\t\\tgameMap.at(32,13).addActor(new Allosaur());\\n\\t\\tgameMap.at(33,12).addActor(new Allosaur());\\n\\n\\t\\t//This section will add exits to the initial GameMap, allowing the player to traverse the second GameMap smoothly.\\n\\t\\t//Checks are in place to make sure that the Player cannot make an invalid move.\\n\\t\\tNumberRange widths = gameMap.getXRange();\\n\\t\\tfor (int x : widths){\\n\\t\\t\\tgameMap.at(x,0).addExit(new Exit(\\\"North\\\", gameMap2.at(x,24), \\\"8\\\"));\\n\\t\\t\\tif (x != 0){\\n\\t\\t\\t\\tgameMap.at(x-1, 0).addExit(new Exit(\\\"North West\\\", gameMap2.at(x-1, 24), \\\"7\\\"));\\n\\t\\t\\t}\\n\\t\\t\\tif (x != 79){\\n\\t\\t\\t\\tgameMap.at(x+1, 0).addExit(new Exit(\\\"North East\\\", gameMap2.at(x+1, 24), \\\"9\\\"));\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t//This section will add exits to the second GameMap, allowing the player tp traverse from second to initial GameMap smoothly.\\n\\t\\t//Checks are in place to make sure that the Player cannot make an invalid move.\\n\\t\\tNumberRange widths2 = gameMap2.getXRange();\\n\\t\\tfor (int x2 : widths2){\\n\\t\\t\\tgameMap2.at(x2, 24).addExit(new Exit(\\\"South\\\", gameMap.at(x2, 0),\\\"2\\\"));\\n\\t\\t\\tif (x2 != 0){\\n\\t\\t\\t\\tgameMap2.at(x2-1, 24).addExit(new Exit(\\\"South West\\\",gameMap.at(x2-1, 0), \\\"1\\\"));\\n\\t\\t\\t}\\n\\t\\t\\tif (x2 != 79){\\n\\t\\t\\t\\tgameMap2.at(x2+1, 24).addExit(new Exit(\\\"South East\\\", gameMap.at(x2+1, 0), \\\"3\\\"));\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\n\\t\\tPlayer.resetPlayer();\\n\\n\\t\\treturn world;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"03b2704399a619cfeea36bfc9947cda8\",\n \"score\": \"0.61115175\",\n \"text\": \"WorldPipelet(){\\n\\t\\tinit();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"40281b81df807261c4326ed69c60df40\",\n \"score\": \"0.61014867\",\n \"text\": \"World getWorld();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4749cf7b361108d0ad58235001a5cde5\",\n \"score\": \"0.60928816\",\n \"text\": \"protected WorldController() {\\n\\t\\tworld = new World(new Vector2(0,DEFAULT_GRAVITY),false);\\n\\t\\tjsonReader = new JsonReader();\\n\\t\\tlevel = new LevelModel();\\n\\t\\tcomplete = false;\\n\\t\\tfailed = false;\\n\\t\\tdebug = false;\\n\\t\\tactive = false;\\n\\t\\tcountdown = -1;\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"09f57440e47c1639b580db8086845470\",\n \"score\": \"0.6049524\",\n \"text\": \"public World6(){\\r\\n this(0, 0, 0, 6);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2725849f836994fb01d37279b5aba33e\",\n \"score\": \"0.60473675\",\n \"text\": \"public Main(World world) {\\r\\n this.world = world;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4cb2036c8240481800a9e6f4e4a9f44e\",\n \"score\": \"0.59969026\",\n \"text\": \"public CubeWorld()\\n { \\n super(WORLD_WIDTH, WORLD_HEIGHT, 1);\\n \\n Controller controller = new Controller(WORLD_WIDTH, WORLD_HEIGHT);\\n addObject(controller, WORLD_WIDTH / 2, WORLD_HEIGHT / 2);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9cfd01b2ec4fe2a6f2093a905e429041\",\n \"score\": \"0.598157\",\n \"text\": \"Game() {\\n MASTER_R = new MasterRenderer();\\n\\n\\n initTerrains(0, 1);\\n TERRAIN = H.getFirst(TERRAINS);\\n\\n\\n final PlayerTexturedModel person = new PlayerTexturedModel(\\\"playerTexture\\\", \\\"person\\\");\\n // PLAYER = new PlayerEntity(person, H.v3(153, 5, -274), H.v3(0, 100,\\n // 0), 0.6f);\\n PLAYER = new PlayerEntity(person, H.v3(153, 5, -274), 0.6f);\\n CAMERA = new Camera(PLAYER);\\n MOUSE_PICKER = new MousePicker(CAMERA, MASTER_R.getProjectionMatrix(), TERRAIN);\\n\\n\\n initWaters();\\n\\n final int maxNumEntities = 10;\\n final float sizeFactor = 5f;\\n initEntities(maxNumEntities, sizeFactor);\\n\\n final EnvironmentalTexturedModel lamp = new EnvironmentalTexturedModel(\\\"lamp\\\", \\\"lamp\\\");\\n addEnvEnt(lamp, H.v3(185, -4.7f, -293));\\n addEnvEnt(lamp, H.v3(370, 4.2f, -300));\\n MOVEABLE_LAMP = new EnvironmentalEntity(lamp, H.v3(293, -6.8f, -305));\\n addEnvEnt(MOVEABLE_LAMP);\\n\\n\\n initLights();\\n SUN = H.getFirst(LIGHTS);\\n MOVEABLE_LAMP_LIGHT = H.getLast(LIGHTS);\\n\\n initGuiTextures();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7cee45f81bb2c8912ba0b53648d9228\",\n \"score\": \"0.5959061\",\n \"text\": \"public void initWorld() {\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0edda493872f68b151b0b27295056090\",\n \"score\": \"0.59515464\",\n \"text\": \"public MyWorld()\\n { \\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\n super(700, 500, 1);\\n brickSpawn();\\n populate();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e748eff12ae55c4b9b84e9515cbbd69\",\n \"score\": \"0.59216404\",\n \"text\": \"public BreakoutWorld()\\n {\\n super (WIDTH, HEIGHT, RESOLUTION,false);\\n setUpBreakout();\\n prepare();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4fb34d9e51988bff0beb06d6b8d54699\",\n \"score\": \"0.5875148\",\n \"text\": \"public MyWorld()\\r\\n { \\r\\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\r\\n super(600, 400, 1); \\r\\n prepare();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c3a5c0aa91e06803e6f77592144488c\",\n \"score\": \"0.5852291\",\n \"text\": \"public MyWorld()\\n { \\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\n super(1000, 650, 1); \\n prepare();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6bb7b2f9f56f10cda8fe9f14748d214a\",\n \"score\": \"0.58427197\",\n \"text\": \"public world()\\n { \\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\n super(1200, 700, 1);\\n BaseDeCuracion bc = new BaseDeCuracion();\\n addObject(bc, 580, 280);\\n Cementerio c = new Cementerio();\\n addObject(c, 0, 0);\\n generarTerran();\\n generarProtos();\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"05e776995bdb36099c31172425f485ff\",\n \"score\": \"0.5821184\",\n \"text\": \"public WorldScene makeScene() {\\r\\n WorldImage gameImage = new AboveImage(this.drawBoard(), this.drawScore(), this.drawTime(),\\r\\n this.drawMusic());\\r\\n gameImage = new BesideImage(gameImage, this.drawHealthBar());\\r\\n WorldScene ws = new WorldScene((int) gameImage.getWidth(), (int) gameImage.getHeight());\\r\\n ws.placeImageXY(gameImage, (int) gameImage.getWidth() / 2, (int) gameImage.getHeight() / 2);\\r\\n return ws;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5aa43a42b015789843ac69766bfaa810\",\n \"score\": \"0.58186895\",\n \"text\": \"public GameState(Handler handler){\\r\\n super(handler);\\r\\n world = new World(handler,\\\"res/worlds/worlds2.txt\\\");\\r\\n handler.setWorld(world);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3aead8c2d87dbd05568a91a20266552b\",\n \"score\": \"0.5816534\",\n \"text\": \"WorldRef getWorldRef();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"250d4fe9fe86c1352e0767cdfbbc0363\",\n \"score\": \"0.5813312\",\n \"text\": \"public TLDInnerWorld() {\\r\\n\\t\\tsuper();\\r\\n\\t\\tthis.floor = new HashMap<Point, VATileStatus>();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff8f40f3c739f651554776aca4aa2a00\",\n \"score\": \"0.58066434\",\n \"text\": \"public SmartWorld () {\\r\\n\\t\\tsuper();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0a088a27fc786d1d1b1e83f98bd7de3\",\n \"score\": \"0.5802153\",\n \"text\": \"private VoxelEngine(){\\n chunks = new ArrayList<>();\\n camera = new CameraController( 10, -90, -30);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"94fc65a706a8175102325ebd260f0309\",\n \"score\": \"0.5789934\",\n \"text\": \"private void loadWorld() {\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2eac338f2e3af956fefb36893d072444\",\n \"score\": \"0.5774266\",\n \"text\": \"private static World createVoidWorld() {\\r\\n\\t\\tDefaultTerrainChangeListener defaultTerrainChangeListener = new DefaultTerrainChangeListener();\\r\\n\\t\\tint size = 5;\\r\\n\\t\\tCube[][][] worldCubes = new Cube[size][size][size];\\r\\n\\t\\tfor (int xIndex = 0; xIndex<worldCubes.length; xIndex++) {\\r\\n\\t\\t\\tfor (int yIndex = 0; yIndex<worldCubes[0].length; yIndex++) {\\r\\n\\t\\t\\t\\tfor (int zIndex = 0; zIndex<worldCubes[0][0].length; zIndex++) {\\r\\n\\t\\t\\t\\t\\tint[] position = {xIndex, yIndex, zIndex};\\r\\n\\t\\t\\t\\t\\tCube cube = new Cube(position, CubeType.AIR);\\r\\n\\t\\t\\t\\t\\tworldCubes[xIndex][yIndex][zIndex] = cube;\\r\\n\\t\\t\\t\\t}\\t\\r\\n\\t\\t\\t}\\t\\r\\n\\t\\t}\\r\\n\\t\\r\\n\\t\\t\\tWorld voidWorld = new World(worldCubes, defaultTerrainChangeListener);\\r\\n\\t\\t\\treturn voidWorld;\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d17a51a04e8ed15fd570ac1537327b99\",\n \"score\": \"0.5746907\",\n \"text\": \"public Level2()\\n { \\n\\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\n super(800, 600, 1); \\n prepare();\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4a1b90aae6b93360ec3a0a82ad819fd2\",\n \"score\": \"0.57459927\",\n \"text\": \"public GameWorld(GameUI gameUI) {\\n Bullet.init();\\n setDebug();\\n// initEnvironment();\\n// initModelBatch();\\n// initPersCamera();\\n addSystems(gameUI);\\n addEntities();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fc9e968da3767669f9651d6045c1680d\",\n \"score\": \"0.5736247\",\n \"text\": \"public MyWorld()\\n { \\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\n super(1000, 800, 1);\\n time = 2000;\\n showTime();\\n prepare();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"20a5eb8007ea38eb275a4345f7ee6dc9\",\n \"score\": \"0.5728451\",\n \"text\": \"public abstract World getWorld();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b9604ea98ebbc39fc3e561e52b93d51e\",\n \"score\": \"0.5727314\",\n \"text\": \"public KaraWorld01()\\n {\\n // Create the new world\\n super(WORLD_WIDTH, WORLD_HEIGHT, CELL_SIZE);\\n\\n setPaintOrder(Kara01.class, Tree.class, Mushroom.class, Leaf.class);\\n Greenfoot.setSpeed(40);\\n\\n // Initialize actors\\n prepare();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e72817be9b1db3800c3f468cec64cb0\",\n \"score\": \"0.5687359\",\n \"text\": \"private void createWorld() {\\r\\n\\t\\tfinal Random r = new Random();\\r\\n\\t\\tint row = r.nextInt(this.height);\\r\\n\\t\\twhile (row % 2 == 0) {\\r\\n\\t\\t\\trow = r.nextInt(this.height);\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tint column = r.nextInt(this.width);\\r\\n\\t\\twhile (column % 2 == 0) {\\r\\n\\t\\t\\tcolumn = r.nextInt(this.width);\\r\\n\\t\\t}\\r\\n\\t\\tthis.world[row][column].setPassable(true);\\r\\n\\t\\trecursiveCreateWorld(row, column);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f73e4a2fd6218253e0c708d2f7a71163\",\n \"score\": \"0.56793225\",\n \"text\": \"public World(String name, int dimensionX, int dimensionY,\\r\\n\\t\\t\\tArrayList<Reciepe> reciepes, ArrayList<Tile> tiles,\\r\\n\\t\\t\\tArrayList<Unit> units, ArrayList<Ressource> ressources,\\r\\n\\t\\t\\tArrayList<Player> players, ArrayList<Team> teams,\\r\\n\\t\\t\\tArrayList<Trigger> triggers)\\r\\n\\t{\\r\\n\\t\\tthis.name = name;\\r\\n\\t\\tthis.dimensionX = dimensionX;\\r\\n\\t\\tthis.dimensionY = dimensionY;\\r\\n\\t\\tthis.reciepes = reciepes;\\r\\n\\t\\tthis.tiles = tiles;\\r\\n\\t\\tthis.units = units;\\r\\n\\t\\tthis.ressources = ressources;\\r\\n\\t\\tthis.players = players;\\r\\n\\t\\tthis.teams = teams;\\r\\n\\t\\tthis.triggers = triggers;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ea7da3fb3ff7cc8535ee7a6ad0e16de2\",\n \"score\": \"0.56616545\",\n \"text\": \"@Override\\n\\tpublic void initialize(URL url, ResourceBundle rb) {\\n\\t\\t//Create base world\\n\\t\\tTeam redTeam = new Team(\\\"Base team\\\");\\n\\t\\tTeam blackTeam = new Team(\\\"Base team\\\");\\n\\t\\tworld = new World(redTeam, blackTeam);\\n\\n\\t\\tcanvas = new Canvas(400,400);\\n\\t\\tgc = canvas.getGraphicsContext2D();\\n\\n\\n\\t\\tgc.setFill(Color.BROWN);\\n\\t\\tgc.setStroke(Color.BLUE);\\n\\n\\t\\tgc.fillRect(0, 0, 390, 390);\\n\\n\\t\\t//Experimenting with clicking in the canvas, will be useful for the world editor\\n\\t\\tcanvas.setOnMouseClicked(new EventHandler<MouseEvent>(){\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void handle(MouseEvent t) {\\n\\t\\t\\t\\t//Get the worldGrid coordinates\\n\\t\\t\\t\\tint x = (int)t.getX()/3;\\n\\t\\t\\t\\tint y = (int)t.getY()/3;\\n\\t\\t\\t\\tSystem.out.println(\\\"Testing x \\\" + x + \\\" \\\" + y);\\n\\n\\t\\t\\t\\t//get the selected brush\\n\\t\\t\\t\\tif (redBrush.isSelected()) {\\n\\t\\t\\t\\t\\t//If the ant hill will be within the world bands\\n\\t\\t\\t\\t\\tif (redPlaced) {\\n\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"redReplaced\\\");\\n\\t\\t\\t\\t\\t\\tclearAnthill(\\\"red\\\");\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tif (x < 119 && x > 1 && y < 124 && y > 5 && isValidHillSpace(y, x)) {\\n\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"Placing red ant hill\\\");\\n\\t\\t\\t\\t\\t\\tworld.generateAntHill(y, x, \\\"red\\\"); \\n\\t\\t\\t\\t\\t\\tredYCoordinate = y;\\n\\t\\t\\t\\t\\t\\tredXCoordinate = x;\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tredPlaced = true;\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t} else if (blackBrush.isSelected()) {\\n\\t\\t\\t\\t\\t//If the ant hill will be within the world bands\\n\\t\\t\\t\\t\\tif (blackPlaced) {\\n\\t\\t\\t\\t\\t\\tclearAnthill(\\\"fool\\\");\\n\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"Cleared\\\");\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tif (x < 119 && x > 1 && y < 124 && y > 5 && isValidHillSpace(y, x)) {\\n\\t\\t\\t\\t\\t\\tSystem.out.println(isValidHillSpace(y, x));\\n\\t\\t\\t\\t\\t\\t// Check not being placed over red ant hill\\n\\t\\t\\t\\t\\t\\tif (x > redXCoordinate + 9 && x < redXCoordinate - 9 ) {\\n\\t\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"Poo\\\");\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"Placing black ant hill\\\");\\n\\t\\t\\t\\t\\t\\tworld.generateAntHill(y, x, \\\"black\\\"); \\n\\t\\t\\t\\t\\t\\tblackPlaced = true;\\n\\t\\t\\t\\t\\t\\tblackYCoordinate = y;\\n\\t\\t\\t\\t\\t\\tblackXCoordinate = x;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t} else if (rockBrush.isSelected()) {\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"Placing rock\\\");\\n\\t\\t\\t\\t\\tswitch (world.worldGrid[y*130+x].getType()) {\\n\\t\\t\\t\\t\\tcase CLEAR:\\n\\t\\t\\t\\t\\t\\tworld.worldGrid[y*130+x].setType(ROCKY); \\n\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\tdefault:\\n\\t\\t\\t\\t\\t\\t//Do nothing as a rock can't be placed here\\n\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t} else if (foodBrush.isSelected()) {\\n\\n\\t\\t\\t\\t\\tif (validFoodLocation(y, x)) {\\n\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"Placing food\\\");\\n\\t\\t\\t\\t\\t\\tworld.generateFoodBlocks(y, x);\\n\\t\\t\\t\\t\\t}\\n\\n\\n\\n\\t\\t\\t\\t} else if (deleteBrush.isSelected()) {\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"Deleting\\\");\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"HERE\\\");\\n\\t\\t\\t\\t\\t//Initiallise all the cells\\n\\t\\t\\t\\t\\tfor (int i = 0; i < world.worldGrid.length; i++) {\\n\\t\\t\\t\\t\\t\\tworld.worldGrid[i].setType(Cell.Type.CLEAR);\\n\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t//Set the outside cells to rocky\\n\\t\\t\\t\\t\\tfor (int i=0; i < 130; i++) {\\n\\t\\t\\t\\t\\t\\t//Sets the top line and bottom line\\n\\t\\t\\t\\t\\t\\tworld.worldGrid[i].setType(Cell.Type.ROCKY);\\n\\t\\t\\t\\t\\t\\tworld.worldGrid[world.worldGrid.length-i-1].setType(Cell.Type.ROCKY);\\n\\t\\t\\t\\t\\t\\tworld.worldGrid[i*130].setType(Cell.Type.ROCKY);\\n\\t\\t\\t\\t\\t\\tworld.worldGrid[i*130+130-1].setType(Cell.Type.ROCKY);\\n\\t\\t\\t\\t\\t\\tworld.worldGrid[16899].setType(Cell.Type.ROCKY);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tdrawWorld();\\n\\t\\t\\t}\\n\\n\\t\\t\\tprivate void clearAnthill(String team) {\\n\\t\\t\\t\\t// TODO Auto-generated method stub\\n\\t\\t\\t\\tint x2;\\n\\t\\t\\t\\tint y2;\\n\\t\\t\\t\\tif (team == \\\"red\\\") {\\n\\t\\t\\t\\t\\tx2 = redXCoordinate;\\n\\t\\t\\t\\t\\ty2 = redYCoordinate;\\n\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\tx2 = blackXCoordinate;\\n\\t\\t\\t\\t\\ty2 = blackYCoordinate;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tclearHill(y2, x2);\\n\\t\\t\\t}\\n\\n\\t\\t\\tprivate void clearHill(int x, int y) {\\n\\t\\t\\t\\t// TODO Auto-generated method stub\\n\\t\\t\\t\\t//Starting from the cell furthest to the left do one whole line\\n\\t\\t\\t\\tfor (int i = 0; i < 11; i++) {\\n\\n\\t\\t\\t\\t\\tworld.worldGrid[x*130+y+i].setType(Cell.Type.CLEAR);\\n\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// Next change the two rows above and below the centre\\n\\t\\t\\t\\tfor (int i = 0; i < 10; i++) {\\n\\n\\t\\t\\t\\t\\tworld.worldGrid[(x+1)*130+y+1+i].setType(Cell.Type.CLEAR);\\n\\t\\t\\t\\t\\tworld.worldGrid[(x-1)*130+y+1+i].setType(Cell.Type.CLEAR);\\n\\n\\t\\t\\t\\t}\\n\\n\\n\\t\\t\\t\\t// Next rows inset by one on the right\\n\\t\\t\\t\\tfor (int i = 0; i < 9; i++) {\\n\\n\\t\\t\\t\\t\\tworld.worldGrid[(x+2)*130+y+1+i].setType(Cell.Type.CLEAR);\\n\\t\\t\\t\\t\\tworld.worldGrid[(x-2)*130+y+1+i].setType(Cell.Type.CLEAR);\\n\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// Next Row inset by one more on the left none on the right\\n\\t\\t\\t\\tfor (int i = 0; i < 8; i++) {\\n\\n\\t\\t\\t\\t\\tworld.worldGrid[(x+3)*130+y+2+i].setType(Cell.Type.CLEAR);\\n\\t\\t\\t\\t\\tworld.worldGrid[(x-3)*130+y+2+i].setType(Cell.Type.CLEAR);\\n\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// Next Row inset by one more on the right and none on the left\\n\\t\\t\\t\\tfor (int i = 0; i < 7; i++) {\\n\\t\\t\\t\\t\\tworld.worldGrid[(x+4)*130+y+2+i].setType(Cell.Type.CLEAR);\\n\\t\\t\\t\\t\\tworld.worldGrid[(x-4)*130+y+2+i].setType(Cell.Type.CLEAR);\\n\\t\\t\\t\\t}\\n\\n\\n\\t\\t\\t\\t// Next Row inset by one more on the left and none on the right\\n\\t\\t\\t\\tfor (int i = 0; i < 6; i++) {\\n\\n\\t\\t\\t\\t\\tworld.worldGrid[(x+5)*130+y+3+i].setType(Cell.Type.CLEAR);\\n\\t\\t\\t\\t\\tworld.worldGrid[(x-5)*130+y+3+i].setType(Cell.Type.CLEAR);\\n\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t};}\\n\\t\\t\\t\\t);\\n\\n\\t\\tcanvasPane.setLeftAnchor(canvas, 50.0);\\n\\t\\tcanvasPane.setTopAnchor(canvas, 0.0);\\n\\t\\tcanvasPane.getChildren().add(canvas);\\n\\n\\t\\t//Set the groups for the brush toggle buttons\\n\\t\\tbrushGroup = new ToggleGroup();\\n\\t\\tredBrush.setToggleGroup(brushGroup);\\n\\t\\tblackBrush.setToggleGroup(brushGroup);\\n\\t\\trockBrush.setToggleGroup(brushGroup);\\n\\t\\tfoodBrush.setToggleGroup(brushGroup);\\n\\t\\tdeleteBrush.setToggleGroup(brushGroup);\\n\\n\\t\\tdrawWorld();\\n\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"919d384a7e5d55822fc536e94185153d\",\n \"score\": \"0.56365883\",\n \"text\": \"public static void init() {\\n // BEGIN AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\\n pusherCompressor = new Compressor(0);\\n \\n \\n pushersol = new DoubleSolenoid(0, 0, 1);\\n LiveWindow.addActuator(\\\"pusher\\\", \\\"sol\\\", pushersol);\\n \\n drivebaserightSide = new Spark(0);\\n LiveWindow.addActuator(\\\"Drivebase\\\", \\\"rightSide\\\", (Spark) drivebaserightSide);\\n \\n drivebaseleftSide = new Spark(9);\\n LiveWindow.addActuator(\\\"Drivebase\\\", \\\"leftSide\\\", (Spark) drivebaseleftSide);\\n \\n drivebaseRobotDrive = new RobotDrive(drivebaseleftSide, drivebaserightSide);\\n \\n drivebaseRobotDrive.setSafetyEnabled(true);\\n drivebaseRobotDrive.setExpiration(0.1);\\n drivebaseRobotDrive.setSensitivity(0.5);\\n drivebaseRobotDrive.setMaxOutput(1.0);\\n\\n climberSuperman = new Victor(2);\\n LiveWindow.addActuator(\\\"Climber\\\", \\\"Superman\\\", (Victor) climberSuperman);\\n \\n \\n lEDsSpike = new Relay(0, Direction.kBoth );\\n \\n LiveWindow.addActuator(\\\"LEDs\\\", \\\"Spike\\\", lEDsSpike);\\n \\n\\n // END AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef0385b80febba4faa9222e08a6065e9\",\n \"score\": \"0.5630039\",\n \"text\": \"public GameWorldProxy(GameWorld gameWorld) \\r\\n\\t{\\r\\n\\t\\tgameWorldReal = gameWorld;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e5d279cc9ee64b7ad603734390582c7\",\n \"score\": \"0.56238055\",\n \"text\": \"public WorldScene makeScene() {\\n WorldScene finalScene = new WorldScene(1200, 800);\\n finalScene.placeImageXY(new FromFileImage(\\\"./background.jpg\\\"), 600, 400);\\n finalScene.placeImageXY(\\n new TextImage(Integer.toString(clicks) + \\\" \\\", 30, FontStyle.BOLD_ITALIC, \\n Color.CYAN), 1000, 450);\\n finalScene.placeImageXY(\\n new TextImage(\\\"/ \\\" + Integer.toString(required), 30, FontStyle.BOLD_ITALIC,\\n Color.CYAN), 1030, 450);\\n finalScene.placeImageXY(new TextImage(\\\"FLOOD-IT\\\", 50, \\n FontStyle.BOLD_ITALIC, Color.MAGENTA), 600, 650);\\n WorldImage outline = \\n new RectangleImage((boardSize + 2) * 20,(boardSize + 2) * 20,\\n OutlineMode.SOLID, new Color(42, 64, 99));\\n finalScene.placeImageXY(outline, ((boardSize + 2) * 10) + 50, ((boardSize + 2) * 10) + 50);\\n finalScene.placeImageXY(new TextImage(\\\"Time: \\\" + time / 10 + \\\"s\\\", 35,\\n FontStyle.BOLD_ITALIC, Color.CYAN), 1020, 600);\\n if (clicks >= required\\n && (!allFlooded())) {\\n finalScene.placeImageXY(new TextImage(\\\"YOU LOSE\\\", 25, Color.RED), 1020, 500);\\n }\\n else if (clicks <= required\\n && allFlooded()) {\\n finalScene.placeImageXY(new TextImage(\\\"YOU WIN\\\", 25, Color.GREEN), 1020, 500);\\n }\\n for (Cell c: board) {\\n finalScene.placeImageXY(c.image(), 80 + 20 * c.x, 80 + 20 * c.y);\\n }\\n return finalScene;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1c79d573c457fa112ea190bec1c26a25\",\n \"score\": \"0.5619531\",\n \"text\": \"public MyWorld()\\n { \\n \\n super(1000, 500, 1);\\n setBackground(\\\"Backgroud 1.png\\\");\\n \\n gerar();\\n addObject(garota,250,300);\\n addObject(batery,900,25);\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dfff7eb58c7a01f8561c615569868707\",\n \"score\": \"0.5616781\",\n \"text\": \"public Level2()\\r\\n { \\r\\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\r\\n super(600, 600, 1); \\r\\n Ball b = new Ball ();\\r\\n Paddle p = new Paddle ();\\r\\n Point point = new Point();\\r\\n Lives life = new Lives ();\\r\\n \\r\\n addObject (b, getWidth()/2, getHeight()- (getHeight()/5)); //adds the ball\\r\\n addObject (p, getWidth()/2, getHeight() * 9/10); //adds the paddle\\r\\n addObject (point, getWidth()*1/5, getHeight()-14);//adds the point counter \\r\\n addObject (life, getWidth()- (getWidth()*1/12), getHeight()-14);//adds the life counter \\r\\n for (int n = 1; n < 7; n++){\\r\\n addObject(new Brick (Greenfoot.getRandomNumber(29)+ \\\".JPG\\\"), 100,\\r\\n 20+ (50*n));\\r\\n }\\r\\n \\r\\n for (int n = 1; n < 6; n++){\\r\\n addObject(new Brick (Greenfoot.getRandomNumber(29)+ \\\".JPG\\\"), 200,\\r\\n (70*n));\\r\\n }\\r\\n \\r\\n for (int n = 1; n < 6; n++){\\r\\n addObject(new Brick (Greenfoot.getRandomNumber(29)+ \\\".JPG\\\"), 300,\\r\\n (70*n));\\r\\n }\\r\\n \\r\\n for (int n = 1; n < 6; n++){\\r\\n addObject(new Brick (Greenfoot.getRandomNumber(29)+ \\\".JPG\\\"), 400,\\r\\n (70*n));\\r\\n }\\r\\n \\r\\n for (int n = 1; n < 6; n++){\\r\\n addObject(new Brick (Greenfoot.getRandomNumber(29)+ \\\".JPG\\\"), 500,\\r\\n (70*n));\\r\\n }\\r\\n \\r\\n \\r\\n \\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b9a96d9a87a0c238d994e715a97d7284\",\n \"score\": \"0.5604267\",\n \"text\": \"void newCamera()\\n\\t{\\n\\t\\t_curCamera = new CameraBasic( p, 0, 0, -1500 );\\n\\t\\t_curCamera.reset();\\n\\t\\t\\n\\t\\t_curCamera.setTarget( p.width/2, p.height/2, 0 );\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"501e643cbe2c5670b97b0a57f548c6f3\",\n \"score\": \"0.5571412\",\n \"text\": \"public void createWorldManually(String[] parameters) {\\n world = new World(Integer.parseInt(parameters[0]), Integer.parseInt(parameters[1]),\\n Integer.parseInt(parameters[2]), Integer.parseInt(parameters[3]));\\n\\n try {\\n world.loadData();\\n } catch (ClassNotFoundException e) {\\n e.printStackTrace();\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"91353e91bbdb9f0233d7117e300f8b08\",\n \"score\": \"0.5567743\",\n \"text\": \"private void createWorldImage() {\\n tempg2.setColor(Color.white);\\n tempg2.fillRect(0,0,500,500);\\n tempg2.setColor(Color.red);\\n tempg2.fillRect(10, 10, 8, 480); // left wall\\n tempg2.fillRect(480, 10, 8, 480); // right wall\\n tempg2.fillRect(10, 10, 478, 8); // top wall\\n tempg2.fillRect(10, 482, 478, 8); // bottom wall\\n\\n\\tEnumeration e = worldObjects.elements();\\n\\twhile(e.hasMoreElements()) {\\n\\t Vertex v = (Vertex)e.nextElement();\\n if(v.objType == WALL || v.objType == LIGHT)\\n\\t v.drawVertex(tempg2);\\n\\t}\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6746bc0a95a4946103163237c5651c37\",\n \"score\": \"0.55455863\",\n \"text\": \"@Override\\n\\tpublic void create() {\\n\\t\\tGdx.app.setLogLevel(Application.LOG_DEBUG);\\n\\t\\t//Load Assets\\n\\t\\tAssets.instance.init(new AssetManager());\\n\\t\\t//Initializing the worldcontroller and renderer\\n\\t\\tworldController = new WorldController();\\n\\t\\tworldRenderer = new WorldRenderer(worldController);\\t\\n\\t\\n\\t\\tpaused = false;\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f0b85a60305bbe57f356d891b32a6fd6\",\n \"score\": \"0.55445844\",\n \"text\": \"public LocationJoueur(GameWorld world) {\\n this.world = world;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0c02f7b0324739b01d1730b040aecb50\",\n \"score\": \"0.5535204\",\n \"text\": \"public static void init() {\\r\\n\\t\\tunitsX = 16;\\r\\n\\t\\tunitsY = 9;\\r\\n\\t\\t\\r\\n\\t\\tppuX = Gdx.graphics.getWidth()/unitsX;\\r\\n\\t\\tppuY = Gdx.graphics.getHeight()/unitsY;\\r\\n\\t\\t\\r\\n\\t\\t//A new OrthographicCamera is created, with relative aspect ratio defined in its parameters\\r\\n\\t\\t//The camera view is then shifted to point at only the first quadrant of the graph\\r\\n\\t\\tgameCam = new OrthographicCamera(unitsX, unitsY);\\r\\n \\tgameCam.position.set(unitsX/2, unitsY/2, 0);\\r\\n \\tgameCam.update();\\r\\n \\t\\r\\n \\tfontCam = new OrthographicCamera(Gdx.graphics.getWidth(), Gdx.graphics.getHeight());\\r\\n \\tfontCam.position.set(Gdx.graphics.getWidth()/2, Gdx.graphics.getHeight()/2, 0);\\r\\n \\tfontCam.update();\\r\\n \\t\\r\\n \\tbatch = new SpriteBatch();\\r\\n \\tdebugRenderer = new ShapeRenderer();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"42187f3b168da611e6228e5db395348a\",\n \"score\": \"0.55288404\",\n \"text\": \"public MyWorld()\\n { \\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\n super(WORLD_WIDTH, WORLD_HEIGHT, 1, false);\\n Greenfoot.setSpeed(45);\\n setPaintOrder(GameOver.class, TopPipe.class, BotPipe.class, Bird.class, Ground.class);\\n prepare();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"13993f3ca7b777fe21e248e5ffb7746a\",\n \"score\": \"0.5515665\",\n \"text\": \"public MyWorld()\\n { \\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\n super(600, 400, 1); \\n player.Awake();\\n // Adiciona o player e os carrosObstaculos\\n\\n addObject(esq, 231, 209);\\n addObject(dir, 408, 209);\\n addObject(slot, 319, 209);\\n addObject(player, 75, 100);\\n // Texto do tempo\\n addObject(timerText, 503, 364); \\n timerText.setText(\\\"Time left: \\\" + (timer/60));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d60573ac7369cd492fa95f97bf8368e2\",\n \"score\": \"0.5515097\",\n \"text\": \"public Level11()\\n { \\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\n super(1200, 800, 1); \\n prepare();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ceb380aec5974db99072f2bf2f542773\",\n \"score\": \"0.55000806\",\n \"text\": \"private void createWorld(String worldName)\\n {\\n // TODO: Loading screen\\n WorldGenerator generator = new WorldGenerator();\\n WorldLoader worldLoader;\\n try\\n {\\n File worldFolder = new File(SystemUtils.getGameFolder(), \\\"worlds/\\\" + worldName);\\n if(!worldFolder.exists())\\n worldFolder.mkdirs();\\n worldLoader = new VanillaWorldLoader(new ResourceLocation(worldName), new DiskSimpleResourceLoader(worldFolder.getParentFile().getAbsolutePath()));\\n World clientWorld = new World(worldName, new BaseChunkProvider(worldLoader), generator, worldLoader);\\n\\n EntityPlayer player = clientWorld.createPlayerEntity(oc.getSession().getUUID());\\n clientWorld.spawn(player);\\n oc.getRenderEngine().setRenderViewEntity(player);\\n oc.setPlayerController(new LocalPlayerController(player));\\n\\n Entity testEntity = new EntityTest(clientWorld);\\n testEntity.setLocation(player.posX, player.posY + 20, player.posZ);\\n clientWorld.spawn(testEntity);\\n\\n new ThreadGetChunksFromCamera(oc).start();\\n oc.setWorld(clientWorld);\\n oc.setPlayer(player);\\n oc.openMenu(new GuiIngame(oc));\\n }\\n catch(Exception e)\\n {\\n e.printStackTrace();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5938841ea34316153acf47e053ce6395\",\n \"score\": \"0.5493367\",\n \"text\": \"public static void init() {\\n // BEGIN AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\\n driveTrainLeft1 = new VictorSP(3);\\n LiveWindow.addActuator(\\\"DriveTrain\\\", \\\"Left1\\\", (VictorSP) driveTrainLeft1);\\n driveTrainLeft1.setInverted(true);\\n driveTrainLeft2 = new VictorSP(2);\\n LiveWindow.addActuator(\\\"DriveTrain\\\", \\\"Left2\\\", (VictorSP) driveTrainLeft2);\\n driveTrainLeft2.setInverted(true);\\n driveTrainRight1 = new VictorSP(0);\\n LiveWindow.addActuator(\\\"DriveTrain\\\", \\\"Right1\\\", (VictorSP) driveTrainRight1);\\n driveTrainRight1.setInverted(false);\\n driveTrainRight2 = new VictorSP(1);\\n LiveWindow.addActuator(\\\"DriveTrain\\\", \\\"Right2\\\", (VictorSP) driveTrainRight2);\\n driveTrainRight2.setInverted(false);\\n shooterFlyLeft = new CANTalon(5);\\n// LiveWindow.addActuator(\\\"Shooter\\\", \\\"FlyLeft\\\", shooterFlyLeft);\\n \\n shooterFlyRight = new CANTalon(4);\\n// LiveWindow.addActuator(\\\"Shooter\\\", \\\"FlyRight\\\", shooterFlyRight);\\n \\n shooterKicker = new DoubleSolenoid(11, 2, 3);\\n LiveWindow.addActuator(\\\"Shooter\\\", \\\"Kicker\\\", shooterKicker);\\n \\n\\n // END AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e0204fc5240dd3fd8199544756aa44b\",\n \"score\": \"0.548381\",\n \"text\": \"private void buildCamera() {\\n camera.setNearClip(CAMERA_NEAR_CLIP);\\n camera.setFarClip(CAMERA_FAR_CLIP);\\n camera.setTranslateZ(CAMERA_INITIAL_DISTANCE);\\n\\n cameraHolder.getChildren().add(camera);\\n cameraHolder.rotate(CAMERA_INITIAL_X_ANGLE, Rotate.X_AXIS);\\n cameraHolder.rotate(CAMERA_INITIAL_Y_ANGLE, Rotate.Y_AXIS);\\n\\n root.getChildren().add(cameraHolder);\\n\\n cameraBoard.setNearClip(CAMERA_NEAR_CLIP);\\n cameraBoard.setFarClip(CAMERA_FAR_CLIP);\\n cameraBoard.setTranslateZ(CAMERA_INITIAL_DISTANCE);\\n\\n cameraHolderBoard.getChildren().add(cameraBoard);\\n\\n boardGroup.getChildren().add(cameraHolderBoard);\\n\\n cameraPattern.setNearClip(CAMERA_NEAR_CLIP);\\n cameraPattern.setFarClip(CAMERA_FAR_CLIP);\\n cameraPattern.setTranslateZ(CAMERA_INITIAL_DISTANCE);\\n\\n cameraHolderPattern.getChildren().add(cameraPattern);\\n\\n patternGroup.getChildren().add(cameraHolderPattern);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3487a6bbeed3fe4c113e0b6c28dd0c8c\",\n \"score\": \"0.546917\",\n \"text\": \"@Override\\n protected void initGame() {\\n playerControl = new PlayerControl();\\n rotatingControl = new RotatingControl();\\n reverseRotation = new ReverseRotation();\\n bluedotControlUp = new BluedotControlUp();\\n bluedotControlDown = new BluedotControlDown();\\n bluedotControlLeft = new BluedotControlLeft();\\n bluedotControlRight = new BluedotControlRight();\\n\\n\\n // Spawner vores spiller, vi definerer hvor den spawner, samt hvor stor den skal være.\\n\\n// spawner vores bluedot.\\n// DONT DELETE THIS. GAME WILL BREAK IF U DO.\\nbluedot = Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(0,0)\\n .viewFromNodeWithBBox(new Rectangle(4,4,Color.BLUE))\\n .build();\\n// x = 1100, y = 604\\nendzone = Entities.builder()\\n .type(Type.ENDZONE)\\n .at(1100,604)\\n .viewFromNodeWithBBox(new Rectangle(96,206,Color.GREEN))\\n .buildAndAttach();\\n\\n// Spawner vores spiller, vi definerer hvor den spawner, samt hvor stor den skal være.\\n player = Entities.builder()\\n .type(Type.PLAYER)\\n .at(1100, 80)\\n .bbox(new HitBox(\\\"PLAYER_BODY\\\", BoundingShape.box(25,25)))\\n .viewFromNode(new Rectangle(25,25, Color.DARKRED))\\n .with(playerControl)\\n .build();\\n\\n\\n// Spawner de roterende hjul som man skal undgå i første række af mappet.\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(900,4)\\n .viewFromNodeWithBBox(new Rectangle(13,200,Color.BLUE))\\n .with(rotatingControl)\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(700,4)\\n .viewFromNodeWithBBox(new Rectangle(13,200,Color.BLUE))\\n .with(reverseRotation)\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(300,4)\\n .viewFromNodeWithBBox(new Rectangle(13,200,Color.BLUE))\\n .with(reverseRotation)\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(500,4)\\n .viewFromNodeWithBBox(new Rectangle(13,200,Color.BLUE))\\n .with(rotatingControl)\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(400,96)\\n .viewFromNodeWithBBox(new Rectangle(200,13,Color.BLUE))\\n .with(rotatingControl)\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(600,96)\\n .viewFromNodeWithBBox(new Rectangle(200,13,Color.BLUE))\\n .with(reverseRotation)\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(800,96)\\n .viewFromNodeWithBBox(new Rectangle(200,13,Color.BLUE))\\n .with(rotatingControl)\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(200,96)\\n .viewFromNodeWithBBox(new Rectangle(200,13,Color.BLUE))\\n .with(reverseRotation)\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n// Spawner patruljerende bluedots i anden række\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(200,200)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlUp())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(250,352)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlDown())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(300,200)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlUp())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(350,352)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlDown())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(400,200)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlUp())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(450,352)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlDown())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(500,200)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlUp())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(550,352)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlDown())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(600,200)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlUp())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(650,352)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlDown())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(700,200)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlUp())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(750,352)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlDown())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(800,200)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlUp())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(850,352)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlDown())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(900,200)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlUp())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(950,352)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlDown())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n // tredje rækkes forhindringer\\n\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(750,402)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlUp())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(700,552)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlDown())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(650,402)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlUp())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(800,402)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlRight())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(800,482)\\n .viewFromNodeWithBBox(new Rectangle(50,40,Color.BLUE))\\n .with(new BluedotControlRight())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(800,552)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlRight())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(600,402)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlLeft())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(600,482)\\n .viewFromNodeWithBBox(new Rectangle(50,40,Color.BLUE))\\n .with(new BluedotControlLeft())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(600,552)\\n .viewFromNodeWithBBox(new Rectangle(50,50,Color.BLUE))\\n .with(new BluedotControlLeft())\\n .with(new CollidableComponent(true))\\n .buildAndAttach(getGameWorld());\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(200,496)\\n .viewFromNodeWithBBox(new Rectangle(200,13,Color.BLUE))\\n .with(reverseRotation)\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(300,404)\\n .viewFromNodeWithBBox(new Rectangle(13,200,Color.BLUE))\\n .with(reverseRotation)\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n // Sidste Rækkes forhindringer!\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(430,650)\\n .viewFromNodeWithBBox(new Rectangle(13,150,Color.BLUE))\\n .with(new BluedotControlLeft())\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(550,600)\\n .viewFromNodeWithBBox(new Rectangle(13,100,Color.BLUE))\\n .with(new BluedotControlLeft())\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(650,600)\\n .viewFromNodeWithBBox(new Rectangle(13,75,Color.BLUE))\\n .with(new BluedotControlLeft())\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(650,725)\\n .viewFromNodeWithBBox(new Rectangle(13,75,Color.BLUE))\\n .with(new BluedotControlLeft())\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n\\n // Her laver jeg mappet\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(0,0)\\n .viewFromNodeWithBBox(new Rectangle(4,1000,Color.BLUE))\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(0,796)\\n .viewFromNodeWithBBox(new Rectangle(1200,4,Color.BLUE))\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(0,0)\\n .viewFromNodeWithBBox(new Rectangle(1200,4,Color.BLUE))\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(1196,0)\\n .viewFromNodeWithBBox(new Rectangle(4,800,Color.BLUE))\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(0,400)\\n .viewFromNodeWithBBox(new Rectangle(1000,4,Color.BLUE))\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(200,200)\\n .viewFromNodeWithBBox(new Rectangle(1000,4,Color.BLUE))\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n Entities.builder()\\n .type(Type.BLUEDOT)\\n .at(200,600)\\n .viewFromNodeWithBBox(new Rectangle(1000,4,Color.BLUE))\\n .with(new CollidableComponent(true))\\n .buildAndAttach();\\n\\n\\n\\n\\n\\n\\n\\n player.addComponent(new CollidableComponent(true));\\n bluedot.addComponent(new CollidableComponent(true));\\n endzone.addComponent(new CollidableComponent(true));\\n\\n\\n\\ngetGameWorld().addEntities(player,bluedot);\\n\\n\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6224a1f303da8ab028b05c3bca2ba88\",\n \"score\": \"0.5468776\",\n \"text\": \"public GameWorld() {\\n\\t\\tgameWorldListener = new GameWorldListenerImpl();\\n\\t\\tplayers = new TreeSet<Player>(AIConstants.playerComparator);\\n\\t\\tclosestObjects = new HashMap<Player, List<Obstacle>>();\\n\\t\\tlevelObjects = new ArrayList<GameObject>();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"77d09a0a2b1755d320a83493a5ef1668\",\n \"score\": \"0.5460317\",\n \"text\": \"private void createFloor() {\\n BodyDef bodyDef = new BodyDef();\\n bodyDef.type = BodyDef.BodyType.StaticBody;\\n bodyDef.position.set(0, -10f);\\n\\n // add it to the world\\n bodys = world.createBody(bodyDef);\\n\\n // set the shape (here we use a box 50 meters wide, 1 meter tall )\\n PolygonShape shape = new PolygonShape();\\n shape.setAsBox(50, 1);\\n\\n // create the physical object in our body)\\n // without this our body would just be data in the world\\n bodys.createFixture(shape, 0.0f);\\n\\n // we no longer use the shape object here so dispose of it.\\n shape.dispose();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"53d70f47e8b426fc1d970e9e0defc367\",\n \"score\": \"0.5456227\",\n \"text\": \"private void levelInit(int world, int level){\\n if(world == 1) {\\n walls.add(new Wall(-1000, -220, \\\"wall.png\\\"));\\n walls.add(new Wall(-1000, 375, \\\"wall.png\\\"));\\n }\\n else if(world == 2){\\n walls.add(new Wall(-1000, -220, \\\"stump.png\\\"));\\n walls.add(new Wall(-1000, 375, \\\"stump.png\\\"));\\n }\\n else if(world == 5){\\n walls.add(new Wall(-1000, -220, \\\"asteroidBelt.png\\\"));\\n walls.add(new Wall(-1000, 375, \\\"asteroidBelt.png\\\"));\\n }\\n else if(world == 6){\\n walls.add(new Wall(-1000, -220, \\\"futureWall.png\\\"));\\n walls.add(new Wall(-1000, 375, \\\"futureWall.png\\\"));\\n }\\n switch(world){\\n case 1:\\n switch(level){\\n /*case 1:\\n levelBackground = new Texture(\\\"level1Background.png\\\");\\n switches.add(new Obstacle(200, 100, \\\"wallSwitch.png\\\"));\\n walls.add(new Wall(400, -220, switches, -320));\\n walls.add(new Wall(400, 375, switches, 500));\\n happyCloud = new HappyCloud(10000,200);\\n break;*/\\n case 1:\\n levelBackground = new Texture(\\\"level1Background.png\\\");\\n bonusQuokkas.add(new BonusQuokka(200, 400));\\n happyCloud = new HappyCloud(600, 250);\\n break;\\n /*case 1:\\n levelBackground = new Texture(\\\"level2Background.png\\\");\\n hawks.add(new Hawk(400,150));\\n happyCloud = new HappyCloud(850, 300);\\n break;*/\\n /*case 1:\\n levelBackground = new Texture(\\\"level2Background.png\\\");\\n happyCloud = new HappyCloud(30000, 500);\\n walls.add(new Wall(-50, 300));\\n walls.add(new Wall(73, 600, \\\"horizontWall.png\\\"));\\n break;*/\\n case 2:\\n levelBackground = new Texture(\\\"level2Background.png\\\");\\n walls.add(new Wall(500,-180, \\\"wall.png\\\"));\\n walls.add(new Wall(1400,400, \\\"wall.png\\\"));\\n happyCloud = new HappyCloud(2060, 200);\\n bonusQuokkas.add(new BonusQuokka(20,200));\\n break;\\n case 3:\\n levelBackground = new Texture(\\\"level1Background.png\\\");\\n clouds.add(new EvilCloud(350, 400));\\n bonusQuokkas.add(new BonusQuokka(350, 50));\\n happyCloud = new HappyCloud(750, 200);\\n break;\\n case 4:\\n levelBackground = new Texture(\\\"level2Background.png\\\");\\n walls.add(new Wall(350, -80, \\\"wall.png\\\"));\\n walls.add(new Wall(850, -230, \\\"wall.png\\\"));\\n clouds.add(new EvilCloud(1200, 460));\\n bonusQuokkas.add(new BonusQuokka(650, 50));\\n happyCloud = new HappyCloud(1200, 10);\\n break;\\n case 5:\\n levelBackground = new Texture(\\\"level1Background.png\\\");\\n clouds.add(new EvilCloud(200, 300));\\n walls.add(new Wall(900, 450));\\n clouds.add(new EvilCloud(1420, 270));\\n bonusQuokkas.add(new BonusQuokka(1825, 120));\\n happyCloud = new HappyCloud(1730,350);\\n break;\\n case 6:\\n levelBackground = new Texture(\\\"level1Background.png\\\");\\n walls.add(new Wall(300,500, \\\"wall.png\\\"));\\n walls.add(new Wall(300, -380, \\\"wall.png\\\"));\\n walls.add(new Wall (600, -380, \\\"wall.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(600, 550));\\n clouds.add(new EvilCloud(800, 500));\\n walls.add(new Wall(1300, 600, \\\"wall.png\\\"));\\n clouds.add(new EvilCloud(1300, 50));\\n happyCloud = new HappyCloud(1600, 300);\\n break;\\n /*case 5:\\n levelBackground = new Texture(\\\"level2Background.png\\\");\\n hawks.add(new Hawk(400,150));\\n happyCloud = new HappyCloud(850, 300);\\n break;*/\\n case 7:\\n levelBackground = new Texture(\\\"level2Background.png\\\");\\n clouds.add(new EvilCloud(200, 50));\\n walls.add(new Wall (750, 300));\\n walls.add(new Wall(1150, -130));\\n bonusQuokkas.add(new BonusQuokka(1320, 30));\\n happyCloud = new HappyCloud(1550, 200);\\n break;\\n /*case 8:\\n levelBackground = new Texture(\\\"level2Background.png\\\");\\n for(int i = 0; i < 10; i++){\\n walls.add(new Wall(400 + 123 * i, -280));\\n walls.add(new Wall(400 + 123 * i, 500));\\n }\\n happyCloud = new HappyCloud(1400, 5);\\n break;\\n\\n case 8:\\n levelBackground = new Texture(\\\"level1Background.png\\\");\\n walls.add(new Wall(300, -80));\\n clouds.add(new EvilCloud(450, 350));\\n clouds.add(new EvilCloud(1200, 350));\\n happyCloud = new HappyCloud(1650, 150);\\n break;\\n */\\n case 8:\\n levelBackground = new Texture(\\\"level2Background.png\\\");\\n walls.add(new Wall(350, 300, \\\"wall.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(500, 400));\\n walls.add(new Wall(750,300, \\\"wall.png\\\"));\\n happyCloud = new HappyCloud(1250, 200);\\n break;\\n case 9:\\n levelBackground = new Texture(\\\"level1Background.png\\\");\\n clouds.add(new EvilCloud(250, 200));\\n bonusQuokkas.add(new BonusQuokka(650, 0));\\n walls.add(new Wall(900, -180));\\n clouds.add(new EvilCloud(1050, 300));\\n walls.add(new Wall(1500, 400));\\n happyCloud = new HappyCloud(1700, 500);\\n break;\\n case 10:\\n levelBackground = new Texture(\\\"level1Background.png\\\");\\n walls.add(new Wall(300,600, \\\"wall.png\\\"));\\n walls.add(new Wall(300, -280, \\\"wall.png\\\"));\\n walls.add(new Wall(700, 700, \\\"wall.png\\\"));\\n walls.add(new Wall(700, -180, \\\"wall.png\\\"));\\n walls.add(new Wall(1100, 500, \\\"wall.png\\\"));\\n walls.add(new Wall(1100, -380, \\\"wall.png\\\"));\\n happyCloud = new HappyCloud(1300, 5);\\n walls.add(new Wall(1700, 500, \\\"wall.png\\\"));\\n walls.add(new Wall(1700, -380, \\\"wall.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(1900, 300));\\n break;\\n /*case 10:\\n levelBackground = new Texture(\\\"level3Background.png\\\");\\n arrows.add(new Arrow(100, 1100, true));\\n clouds.add(new EvilCloud(50, 1000));\\n happyCloud = new HappyCloud(50, 2000);\\n break;*/\\n }\\n break;\\n case 2:\\n switch(level) {\\n /*case 1:\\n levelBackground = new Texture(\\\"level1Background.png\\\");\\n walls.add(new Wall(700, 500, \\\"horizontWall.png\\\"));\\n happyCloud = new HappyCloud(10000,200);\\n break;\\n case 3:\\n levelBackground = new Texture(\\\"spaceBackground.png\\\");\\n planets.add(new Obstacle(300, 200, \\\"greenPlanet.png\\\"));\\n happyCloud = new HappyCloud(1500, 300);\\n break;\\n case 4:\\n layerTextures.add(new Texture(\\\"level1Background.png\\\"));\\n layerTextures.add(new Texture(\\\"level2Background.png\\\"));\\n layerTextures.add(new Texture(\\\"level3Background.png\\\"));\\n vines.add(new Vine(600, 500, 1, 50));\\n layerVines.add(new Array<Vine>(vines));\\n vines.clear();\\n vines.add(new Vine (900, 600, 0, 50));\\n layerVines.add(new Array<Vine>(vines));\\n happyCloud = new HappyCloud(1300, 6);\\n break;*/\\n case 1:\\n levelBackground = new Texture(\\\"dino1Back.png\\\");\\n walls.add(new Wall(500, 450, \\\"stump.png\\\"));\\n meteors.add(new Meteor(730, 780, 0, 0));\\n clouds.add(new EvilCloud(955, 50));\\n bonusQuokkas.add(new BonusQuokka(1255, 50));\\n happyCloud = new HappyCloud(1605, 50);\\n break;\\n case 2:\\n levelBackground = new Texture(\\\"dino2Back.png\\\");\\n walls.add(new Wall(450, 380, \\\"stump.png\\\"));\\n switches.add(new Obstacle(660, 120, \\\"wallSwitch.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(750, -30));\\n walls.add(new Wall(460, -445, switches, -215, \\\"stump.png\\\"));\\n meteors.add(new Meteor(690, 780, 0, 0));\\n walls.add(new Wall(910, -80, \\\"stump.png\\\"));\\n happyCloud = new HappyCloud(1210, 50);\\n break;\\n case 3:\\n levelBackground = new Texture(\\\"dino1Back.png\\\");\\n meteors.add(new Meteor(500, 780, 0, 0));\\n clouds.add(new EvilCloud(675, 250));\\n bonusQuokkas.add(new BonusQuokka(700, 400));\\n meteors.add(new Meteor(1000, 780, 0, 0));\\n clouds.add(new EvilCloud(1200, 600));\\n clouds.add(new EvilCloud(1200, 50));\\n meteors.add(new Meteor(1550, 780, 0, 0));\\n happyCloud = new HappyCloud(1750, 300);\\n break;\\n case 4:\\n levelBackground = new Texture(\\\"dino2Back.png\\\");\\n walls.add(new Wall(350, 500, \\\"stump.png\\\"));\\n tallDinos.add(new TallDino(923, -195, -223, 400));\\n bonusQuokkas.add(new BonusQuokka(0, 50));\\n walls.add(new Wall(1000, 500, \\\"stump.png\\\"));\\n tallDinos.add(new TallDino(1573, -195, 427, 400));\\n happyCloud = new HappyCloud(1000, 0);\\n break;\\n case 5:\\n levelBackground = new Texture(\\\"dino1Back.png\\\");\\n meteors.add(new Meteor(500, 780, 0, 0));\\n meteors.add(new Meteor(675, 780, 0, 0));\\n meteors.add(new Meteor(850, 780, 0, 0));\\n meteors.add(new Meteor(1025, 780, 0, 0));\\n meteors.add(new Meteor(1200, 780, 0, 0));\\n walls.add(new Wall (1375, -150, \\\"stump.png\\\"));\\n meteors.add(new Meteor(1550, 780, 0, 0));\\n meteors.add(new Meteor(1725, 780, 0, 0));\\n meteors.add(new Meteor(1900, 780, 0, 0));\\n meteors.add(new Meteor(2075, 780, 0, 0));\\n meteors.add(new Meteor(2250, 780, 0, 0));\\n walls.add(new Wall(2425, -150, \\\"stump.png\\\"));\\n happyCloud = new HappyCloud(2600, 200);\\n meteors.add(new Meteor(2775, 780, 0, 0));\\n meteors.add(new Meteor(2950, 780, 0, 0));\\n meteors.add(new Meteor(3125, 780, 0, 0));\\n bonusQuokkas.add(new BonusQuokka(3300, 50));\\n break;\\n case 6:\\n levelBackground = new Texture(\\\"dino2Back.png\\\");\\n switches.add(new Obstacle(400, 0,\\\"wallSwitch.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(525, 70));\\n walls.add(new Wall(200, 300, \\\"horizontStump.png\\\"));\\n walls.add(new Wall(672, 422, switches, 1000, \\\"stump.png\\\"));\\n tallDinos.add(new TallDino(250, -305, 722, 200));\\n meteors.add(new Meteor(810, 780, 0, 0));\\n happyCloud = new HappyCloud(1200, 150);\\n break;\\n case 7:\\n levelBackground = new Texture(\\\"dino1Back.png\\\");\\n walls.add(new Wall(200, -100, \\\"stump.png\\\"));\\n tallDinos.add(new TallDino(350, -100, 1350, 300));\\n walls.add(new Wall(575, 601, \\\"stump.png\\\"));\\n meteors.add(new Meteor(820, 780, 0, 0));\\n clouds.add(new EvilCloud(1070, 550));\\n bonusQuokkas.add(new BonusQuokka(1420, 550));\\n happyCloud = new HappyCloud(1600, 100);\\n break;\\n case 8:\\n levelBackground = new Texture(\\\"dino2Back.png\\\");\\n meteors.add(new Meteor(400, 880, 0, 0));\\n meteors.add(new Meteor(600, 880, 0, 0));\\n meteors.add(new Meteor(800, 880, 0, 0));\\n meteors.add(new Meteor(1000, 880, 0, 0));\\n tallDinos.add(new TallDino(200, -350, 400, 150));\\n tallDinos.add(new TallDino(432, -350, 632, 150));\\n tallDinos.add(new TallDino(1064, -350, 864, 150));\\n tallDinos.add(new TallDino(1296, -350, 1096, 150));\\n meteors.add(new Meteor(1644, 880, 0, 0));\\n tallDinos.add(new TallDino(1528, -250, 1960, 150));\\n bonusQuokkas.add(new BonusQuokka(1878, 80));\\n happyCloud = new HappyCloud(2192, 150);\\n break;\\n case 9:\\n levelBackground = new Texture(\\\"dino1Back.png\\\");\\n clouds.add(new EvilCloud(150, 0));\\n meteors.add(new Meteor(450, 780, 0, 0));\\n bonusQuokkas.add(new BonusQuokka(500, 400));\\n walls.add(new Wall(650, 250, \\\"stump.png\\\"));\\n tallDinos.add(new TallDino(800, -350, 1300, 200));\\n happyCloud = new HappyCloud(1450, 0);\\n break;\\n case 10:\\n levelBackground = new Texture(\\\"dino1Back.png\\\");\\n walls.add(new Wall(330, -200, \\\"stump.png\\\"));\\n meteors.add(new Meteor(600, 880, 0, 0));\\n tallDinos.add(new TallDino(600, -150, 1000, 200));\\n bonusQuokkas.add(new BonusQuokka(630, 50));\\n happyCloud = new HappyCloud(1350, 50);\\n break;\\n }\\n break;\\n case 3:\\n switch(level){\\n case 1:\\n clouds.add(new EvilCloud(250,800));\\n walls.add(new Wall(700, 1250, \\\"horizontWall.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(1000, 1550));\\n happyCloud = new HappyCloud(300, 1650);\\n break;\\n case 2:\\n arrows.add(new Arrow(50, 850));\\n arrows.add(new Arrow(50, 1250));\\n bonusQuokkas.add(new BonusQuokka(300, 1250));\\n clouds.add(new EvilCloud(250, 1650));\\n happyCloud = new HappyCloud(700,1800);\\n break;\\n case 3:\\n walls.add(new Wall(-50, 850, \\\"horizontWall.png\\\"));\\n arrows.add(new Arrow (cam.viewportWidth- 100, 1250));\\n arrows.add(new Arrow(50, 1650));\\n arrows.add(new Arrow(cam.viewportWidth- 100, 2050));\\n bonusQuokkas.add(new BonusQuokka(200, 1250));\\n happyCloud = new HappyCloud(700, 2250);\\n break;\\n case 4:\\n for(int i = 0; i < 3; i++) {\\n walls.add(new Wall(327, 595 * i));\\n walls.add(new Wall(796, 595 * i));\\n }\\n arrows.add(new Arrow(320, 750));\\n bonusQuokkas.add(new BonusQuokka(560, 800));\\n arrows.add(new Arrow(320, 950));\\n arrows.add(new Arrow(800, 950));\\n happyCloud = new HappyCloud(490, 1300);\\n break;\\n case 5:\\n arrows.add(new Arrow(0, 1000));\\n arrows.add(new Arrow(0, 300));\\n walls.add(new Wall(0, 1300, \\\"horizontWall.png\\\"));\\n walls.add(new Wall(850, 1000));\\n bonusQuokkas.add(new BonusQuokka(1050, 1050));\\n walls.add(new Wall(973, 1300, \\\"horizontWall.png\\\"));\\n clouds.add(new EvilCloud(400, 1717));\\n happyCloud = new HappyCloud(850, 1768);\\n break;\\n case 6:\\n walls.add(new Wall(675, 450, \\\"horizontWall.png\\\"));\\n walls.add(new Wall(93, 1000, \\\"horizontWall.png\\\"));\\n walls.add(new Wall(565, 1123));\\n switches.add(new Obstacle(798, 1868, \\\"wallSwitch.png\\\"));\\n walls.add(new Wall(93, 1718, switches, -718, 0,\\\"horizontWall.png\\\"));\\n walls.add(new Wall(675, 2200, \\\"horizontWall.png\\\"));\\n walls.add(new Wall(552, 2200, switches, -400, 1));\\n bonusQuokkas.add(new BonusQuokka(376, 1500));\\n happyCloud = new HappyCloud(720, 2373);\\n break;\\n case 7:\\n walls.add(new Wall(678, 0));\\n walls.add(new Wall(678, 595));\\n walls.add(new Wall(93, 1067, \\\"horizontWall.png\\\"));\\n portals.add(new Obstacle(120, 870, \\\"portal.png\\\"));\\n portals.add(new Obstacle(828, 870, \\\"portal.png\\\"));\\n clouds.add(new EvilCloud(828, 600));\\n arrows.add(new Arrow(1150, 700));\\n arrows.add(new Arrow(1150, 1350));\\n walls.add(new Wall(678, 1190));\\n walls.add(new Wall(93, 1662, \\\"horizontWall.png\\\"));\\n portals.add(new Obstacle(130, 2000, \\\"portal.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(130, 2324));\\n portals.add(new Obstacle(900, 2086, \\\"portal.png\\\"));\\n clouds.add(new EvilCloud(130, 2162));\\n happyCloud = new HappyCloud(780, 2266);\\n break;\\n case 8:\\n clouds.add(new EvilCloud(500, 1000));\\n walls.add(new Wall(595, 1200));\\n walls.add(new Wall(595, 1795));\\n walls.add(new Wall(718, 2267, \\\"horizontWall.png\\\"));\\n clouds.add(new EvilCloud(750, 1323));\\n portals.add(new Obstacle(900, 2067, \\\"portal.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(900, 1870));\\n walls.add(new Wall(595, 2267));\\n walls.add(new Wall(595, 2862));\\n walls.add(new Wall(718, 3334, \\\"horizontWall.png\\\"));\\n portals.add(new Obstacle(400, 2067, \\\"portal.png\\\"));\\n portals.add(new Obstacle(400, 2610, \\\"portal.png\\\"));\\n portals.add(new Obstacle(720, 2610, \\\"portal.png\\\"));\\n happyCloud = new HappyCloud(850, 2860);\\n break;\\n case 9:\\n arrows.add(new Arrow(50, 1300));\\n clouds.add(new EvilCloud(950, 1000));\\n clouds.add(new EvilCloud(93, 1450));\\n walls.add(new Wall(916, 1450,\\\"horizontWall.png\\\"));\\n walls.add(new Wall(404, 1850, \\\"horizontWall.png\\\"));\\n walls.add(new Wall(916, 1450));\\n portals.add(new Obstacle(108, 1600, \\\"portal.png\\\"));\\n walls.add(new Wall(93, 1850, \\\"horizontWall.png\\\"));\\n portals.add(new Obstacle(1070, 1600, \\\"portal.png\\\"));\\n arrows.add(new Arrow(50, 2330));\\n arrows.add(new Arrow(1230, 2420));\\n bonusQuokkas.add(new BonusQuokka(150,2420));\\n walls.add(new Wall(93, 2670, \\\"horizontWall.png\\\"));\\n happyCloud = new HappyCloud(223, 2843);\\n break;\\n case 10:\\n walls.add(new Wall(93, 850, \\\"horizontWall.png\\\"));\\n arrows.add(new Arrow(-50, 875));\\n walls.add(new Wall(688, 850));\\n arrows.add(new Arrow(1180, 1245));\\n walls.add(new Wall(330, 1620));\\n bonusQuokkas.add(new BonusQuokka(480, 1795));\\n happyCloud = new HappyCloud(-50, 1645);\\n break;\\n }\\n break;\\n case 4:\\n levelBackground = new Texture(\\\"canvasBackground.png\\\");\\n switch(level){\\n case 1:\\n nullZones.add(new Obstacle(-100, -300, 350, 1068));\\n moveSpots.add(new Vector2(-50, 330));\\n moveSpots.add(new Vector2(250, 70));\\n moveSpots.add(new Vector2(250.01f, 70));\\n moveSpots.add(new Vector2(-50.01f, 330));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 200, 200));\\n walls.add(new Wall(280, 100, \\\"horizontWall.png\\\"));\\n clouds.add(new EvilCloud(900, 250));\\n bonusQuokkas.add(new BonusQuokka(975, 50));\\n walls.add(new Wall(1350, 400));\\n happyCloud = new HappyCloud(1550, 550);\\n break;\\n case 2:\\n clouds.add(new EvilCloud(450, 600));\\n clouds.add(new EvilCloud(450, 50));\\n nullZones.add(new Obstacle(700, -300, 580, 1100));\\n bonusQuokkas.add(new BonusQuokka(990, 70));\\n happyCloud = new HappyCloud(1600, 150);\\n break;\\n /*case 2:\\n clouds.add(new EvilCloud(250, 50));\\n walls.add(new Wall(900, 250));\\n bonusQuokkas.add(new BonusQuokka(1068, 500));\\n happyCloud = new HappyCloud(1258, 50);\\n break;*/\\n /*case 3:\\n nullZones.add(new Obstacle(400, 100, 900, 800));\\n walls.add(new Wall(1300, 200));\\n bonusQuokkas.add(new BonusQuokka(1100, 200));\\n happyCloud = new HappyCloud(1450, 350);\\n break;*/\\n case 3:\\n nullZones.add(new Obstacle(400, -300, 300, 1100));\\n nullZones.add(new Obstacle(900, -300, 300, 1100));\\n nullZones.add(new Obstacle(1400, -300, 300, 1100));\\n bonusQuokkas.add(new BonusQuokka(1550, 500));\\n happyCloud = new HappyCloud(1800, 50);\\n break;\\n /*case 4:\\n moveSpots.add(new Vector2(200, 550));\\n moveSpots.add(new Vector2(200, 100));\\n moveSpots.add(new Vector2(200.01f, 100));\\n moveSpots.add(new Vector2(200.01f, 550));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 200, 400));\\n clouds.add(new EvilCloud(300, 50));\\n moveSpots.clear();\\n moveSpots.add(new Vector2(600, 600));\\n moveSpots.add(new Vector2(900, 150));\\n moveSpots.add(new Vector2(1050, 250));\\n moveSpots.add(new Vector2(750, 700));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 250, 600));\\n walls.add(new Wall(1250, 0));\\n happyCloud = new HappyCloud(1500, 50);\\n break;*/\\n case 4:\\n nullZones.add(new Obstacle(300, 459, 1000, 359));\\n nullZones.add(new Obstacle(300, -200, 1000, 509));\\n walls.add(new Wall(1450, 380));\\n clouds.add(new EvilCloud(1650, 50));\\n moveSpots.add(new Vector2(1875, 768));\\n moveSpots.add(new Vector2(2125, 440));\\n moveSpots.add(new Vector2(2125.01f, 440));\\n moveSpots.add(new Vector2(1875.01f, 768));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 200, 200));\\n bonusQuokkas.add(new BonusQuokka(1985, 600));\\n happyCloud = new HappyCloud(2450, 400);\\n break;\\n case 5:\\n nullZones.add(new Obstacle(200, -300, 600, 1068));\\n moveSpots.add(new Vector2(250, 300));\\n moveSpots.add(new Vector2(750, 300));\\n moveSpots.add(new Vector2(750, 300.01f));\\n moveSpots.add(new Vector2(250, 300.01f));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 250, 250));\\n nullZones.add(new Obstacle(1200, -300, 1200, 1068));\\n moveSpots.clear();\\n moveSpots.add(new Vector2(1440, 350));\\n moveSpots.add(new Vector2(1780, 350));\\n moveSpots.add(new Vector2(1780, 350.01f));\\n moveSpots.add(new Vector2(1440, 350.01f));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 200, 200));\\n moveSpots.clear();\\n moveSpots.add(new Vector2(1920, 150));\\n moveSpots.add(new Vector2(2160, 150));\\n moveSpots.add(new Vector2(2160, 150.01f));\\n moveSpots.add(new Vector2(1920, 150.01f));\\n bonusQuokkas.add(new BonusQuokka(1995, 175));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 150, 150));\\n happyCloud = new HappyCloud(2250, 500);\\n break;\\n case 6:\\n clouds.add(new EvilCloud(-50, 100));\\n moveSpots.add(new Vector2(350, 50));\\n moveSpots.add(new Vector2(550, 350));\\n moveSpots.add(new Vector2(550.01f, 350));\\n moveSpots.add(new Vector2(350.01f, 50));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 150, 150));\\n walls.add(new Wall(700, 300));\\n moveSpots.clear();\\n moveSpots.add(new Vector2(823, 550));\\n moveSpots.add(new Vector2(1123, 550));\\n moveSpots.add(new Vector2(1123.01f, 550));\\n moveSpots.add(new Vector2(823.01f, 550));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 150, 150));\\n bonusQuokkas.add(new BonusQuokka(970, 570));\\n nullZones.add(new Obstacle(1123, -300, 250, 1068));\\n happyCloud = new HappyCloud(1450, 50);\\n break;\\n case 7:\\n nullZones.add(new Obstacle(250, -300, 350, 1068));\\n clouds.add(new EvilCloud(600, 400));\\n bonusQuokkas.add(new BonusQuokka(675, 575));\\n moveSpots.add(new Vector2(850, 0));\\n moveSpots.add(new Vector2(850, 768));\\n moveSpots.add(new Vector2(850.01f, 768));\\n moveSpots.add(new Vector2(850.01f, 0));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 200, 200));\\n nullZones.add(new Obstacle(1100, -300, 350, 1068));\\n walls.add(new Wall(1650, -280));\\n happyCloud= new HappyCloud(1850, 50);\\n break;\\n case 8:\\n nullZones.add(new Obstacle(200, -300, 350, 1068));\\n walls.add(new Wall(300, -250));\\n walls.add(new Wall(750, -250));\\n nullZones.add(new Obstacle(873, -300, 175, 1068));\\n walls.add(new Wall(1048, 400));\\n nullZones.add(new Obstacle(1271, -300, 350, 1068));\\n walls.add(new Wall(1371, 450));\\n walls.add(new Wall(1371, -350));\\n bonusQuokkas.add(new BonusQuokka(1524, 550));\\n happyCloud = new HappyCloud(1544, 50);\\n break;\\n /*case 9:\\n moveSpots.add(new Vector2(50,100));\\n moveSpots.add(new Vector2(250,400));\\n moveSpots.add(new Vector2(100,600));\\n moveSpots.add(new Vector2(50.01f,100));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots,150, 700));\\n moveSpots.clear();\\n moveSpots.add(new Vector2(-400,100));\\n moveSpots.add(new Vector2(-400,400));\\n moveSpots.add(new Vector2(-400,600));\\n moveSpots.add(new Vector2(-400,800));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots,50, 700));\\n happyCloud=new HappyCloud(-300, 50);\\n break;*/\\n /*case 9:\\n moveSpots.add(new Vector2(60, 400));\\n moveSpots.add(new Vector2(60, 100));\\n moveSpots.add(new Vector2(60.01f, 400));\\n moveSpots.add(new Vector2(60.01f, 100));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 200, 300));\\n happyCloud = new HappyCloud(2000, 30);\\n break;*/\\n case 9:\\n walls.add(new Wall(300, 384));\\n nullZones.add(new Obstacle(523, -200, 342,968));\\n switches.add(new Obstacle(669, 30, \\\"wallSwitch.png\\\"));\\n walls.add(new Wall(1665, -325, switches.get(0), 420));\\n switches.add(new Obstacle(669, 500, \\\"wallSwitch.png\\\"));\\n walls.add(new Wall(1788, -325, switches.get(1), 420));\\n clouds.add(new EvilCloud(1165, 200));\\n bonusQuokkas.add(new BonusQuokka(1240, 30));\\n walls.add(new Wall(1665, 270));\\n walls.add(new Wall(1788, 270));\\n happyCloud = new HappyCloud(2011, 280);\\n break;\\n case 10:\\n moveSpots.add(new Vector2(-150, 0));\\n moveSpots.add(new Vector2(-150, 758));\\n moveSpots.add(new Vector2(-150.01f, 758));\\n moveSpots.add(new Vector2(-150.01f, 0));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 220, 220));\\n moveSpots.clear();\\n moveSpots.add(new Vector2(-75, 100));\\n moveSpots.add(new Vector2(150, 325));\\n moveSpots.add(new Vector2(150.01f, 325));\\n moveSpots.add(new Vector2(-75.01f, 100));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 250, 250));\\n moveSpots.clear();\\n moveSpots.add(new Vector2(350, 130));\\n moveSpots.add(new Vector2(650, 130));\\n moveSpots.add(new Vector2(650.01f, 130));\\n moveSpots.add(new Vector2(350.01f, 130));\\n brushes.add(new Obstacle(\\\"brush.png\\\", moveSpots, 200, 200));\\n bonusQuokkas.add(new BonusQuokka(600, 500));\\n nullZones.add(new Obstacle(-300, -200, 1000, 968));\\n happyCloud = new HappyCloud(720, 20);\\n break;\\n }\\n break;\\n case 5:\\n levelBackground = new Texture(\\\"spaceBackground.png\\\");\\n switch(level) {\\n case 1:\\n planets.add(new Obstacle(300, 200, \\\"greenPlanet.png\\\"));\\n planets.add(new Obstacle(900, 400, \\\"greenPlanet.png\\\"));\\n happyCloud = new HappyCloud(1500, 100);\\n planets.add(new Obstacle(1700, 300, \\\"greenPlanet.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(2000, 350));\\n break;\\n /*case 1:\\n planets.add(new Obstacle(400, 300, \\\"greenPlanet.png\\\"));\\n laserGuns.add(new LaserGun(600, 300));\\n happyCloud = new HappyCloud(30000, 300);\\n break;*/\\n case 2:\\n switches.add(new Obstacle(300, 0, \\\"asteroidSwitch.png\\\"));\\n planets.add(new Obstacle(200, 300, \\\"greenPlanet.png\\\"));\\n walls.add(new Wall(500, 380, switches, 1000, \\\"asteroidBelt.png\\\"));\\n walls.add(new Wall(500, -215, \\\"asteroidBelt.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(700, 70));\\n planets.add(new Obstacle(800, 50, \\\"greenPlanet.png\\\"));\\n happyCloud = new HappyCloud(1500, 300);\\n planets.add(new Obstacle(1800, 500, \\\"greenPlanet.png\\\"));\\n break;\\n /*case 3:\\n levelBackground = new Texture(\\\"spaceBackground.png\\\");\\n planets.add(new Obstacle(200, 300, \\\"greenPlanet.png\\\"));\\n planets.add(new Obstacle(600, 500, \\\"blackHole.png\\\"));\\n happyCloud = new HappyCloud(50, 50);\\n break;*/\\n case 3:\\n nebulae.add(new Obstacle(250, 300, \\\"nebula.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(750, 550));\\n blackHoles.add(new Obstacle(800, 300, \\\"blackHole.png\\\"));\\n planets.add(new Obstacle(1650, 30, \\\"greenPlanet.png\\\"));\\n planets.add(new Obstacle(1650, 520, \\\"greenPlanet.png\\\"));\\n happyCloud = new HappyCloud(2050, 250);\\n break;\\n case 4:\\n blackHoles.add(new Obstacle(300, 500, \\\"blackHole.png\\\"));\\n blackHoles.add(new Obstacle(725, 30, \\\"blackHole.png\\\"));\\n nebulae.add(new Obstacle(1150, 320, \\\"nebula.png\\\"));\\n planets.add(new Obstacle(2000, 300, \\\"greenPlanet.png\\\"));\\n planets.add(new Obstacle(2575, 300, \\\"greenPlanet.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(2300, 500));\\n nebulae.add(new Obstacle(2875, 50, \\\"nebula.png\\\"));\\n happyCloud = new HappyCloud(3275, 50);\\n nebulae.add(new Obstacle(3625, 50, \\\"nebula.png\\\"));\\n planets.add(new Obstacle(3775, 300, \\\"greenPlanet.png\\\"));\\n nebulae.add(new Obstacle(3775, 50, \\\"nebula.png\\\"));\\n nebulae.add(new Obstacle(3975, 350, \\\"nebula.png\\\"));\\n break;\\n case 5:\\n nebulae.add(new Obstacle(250, 300, \\\"nebula.png\\\"));\\n switches.add(new Obstacle(900, 500, \\\"asteroidSwitch.png\\\"));\\n nebulae.add(new Obstacle(850, 125, \\\"nebula.png\\\"));\\n walls.add(new Wall(1200, -195, switches.get(0), 400, \\\"asteroidBelt.png\\\"));\\n walls.add(new Wall(1200, 400, \\\"asteroidBelt.png\\\"));\\n nebulae.add(new Obstacle(1600, 280, \\\"nebula.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(2050, 500));\\n blackHoles.add(new Obstacle(2200, 450, \\\"blackHole.png\\\"));\\n nebulae.add(new Obstacle(2200, 50, \\\"nebula.png\\\"));\\n planets.add(new Obstacle(2800, 50, \\\"greenPlanet.png\\\"));\\n walls.add(new Wall(3100, -300, \\\"asteroidBelt.png\\\"));\\n nebulae.add(new Obstacle(3000, 300, \\\"nebula.png\\\"));\\n happyCloud = new HappyCloud(3250, 50);\\n blackHoles.add(new Obstacle(3600, 500, \\\"blackHole.png\\\"));\\n blackHoles.add(new Obstacle(3600, 50, \\\"blackHole.png\\\"));\\n break;\\n case 6:\\n planets.add(new Obstacle(350, 250, \\\"greenPlanet.png\\\"));\\n portals.add(new Obstacle(375, 500, \\\"portal.png\\\"));\\n planets.add(new Obstacle(900, 50, \\\"greenPlanet.png\\\"));\\n switches.add(new Obstacle(3480, 10, \\\"asteroidSwitch.png\\\"));\\n walls.add(new Wall(1350, -361, \\\"asteroidBelt.png\\\"));\\n walls.add(new Wall(1350, 234, switches.get(0), 834, \\\"asteroidBelt.png\\\"));\\n planets.add(new Obstacle(1750, 350, \\\"greenPlanet.png\\\"));\\n switches.add(new Obstacle(2150, 20, \\\"asteroidSwitch.png\\\"));\\n walls.add(new Wall(2400, 384, \\\"asteroidBelt.png\\\"));\\n walls.add(new Wall(2400, -211, \\\"asteroidBelt.png\\\"));\\n planets.add(new Obstacle(2650, 400, \\\"greenPlanet.png\\\"));\\n happyCloud = new HappyCloud(2630, 25);\\n nebulae.add(new Obstacle(2980, 5, \\\"nebula.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(3030, 400));\\n walls.add(new Wall(3280, -211, switches.get(1), 384, \\\"asteroidBelt.png\\\"));\\n walls.add(new Wall(3280, 384, \\\"asteroidBelt.png\\\"));\\n portals.add(new Obstacle(3955, 510, \\\"portal.png\\\"));\\n planets.add(new Obstacle(3930, 260, \\\"greenPlanet.png\\\"));\\n planets.add(new Obstacle(4580, 260, \\\"greenPlanet.png\\\"));\\n break;\\n case 7:\\n planets.add(new Obstacle(350, 400, \\\"greenPlanet.png\\\"));\\n drones.add(new Drone(750, 550));\\n planets.add(new Obstacle(1000, 30, \\\"greenPlanet.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(1300, 55));\\n planets.add(new Obstacle(1550, 350, \\\"greenPlanet.png\\\"));\\n planets.add(new Obstacle(2150, 500, \\\"greenPlanet.png\\\"));\\n nebulae.add(new Obstacle(2750, 150, \\\"nebula.png\\\"));\\n happyCloud = new HappyCloud(3100, 350);\\n planets.add(new Obstacle(3400, 500, \\\"greenPlanet.png\\\"));\\n planets.add(new Obstacle(3400, 30, \\\"greenPlanet.png\\\"));\\n break;\\n case 8:\\n nebulae.add(new Obstacle(350, 500, \\\"nebula.png\\\"));\\n planets.add(new Obstacle(800, 300, \\\"greenPlanet.png\\\"));\\n laserGuns.add(new LaserGun(820, 540));\\n blackHoles.add(new Obstacle(1320, 500, \\\"blackHole.png\\\"));\\n nebulae.add(new Obstacle(1920, 250, \\\"nebula.png\\\"));\\n nebulae.add(new Obstacle(1320, 30, \\\"nebula.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(1690, 560));\\n happyCloud = new HappyCloud(2220, 300);\\n planets.add(new Obstacle(2490, 500, \\\"greenPlanet.png\\\"));\\n planets.add(new Obstacle(2490, 30, \\\"greenPlanet.png\\\"));\\n break;\\n case 9:\\n clouds.add(new EvilCloud(300, 20));\\n clouds.add(new EvilCloud(600, 550));\\n clouds.add(new EvilCloud(900, 30));\\n clouds.add(new EvilCloud(1200, 343));\\n bonusQuokkas.add(new BonusQuokka(1275, 60));\\n clouds.add(new EvilCloud(1500, 30));\\n clouds.add(new EvilCloud(1800, 560));\\n nebulae.add(new Obstacle(2100, 256, \\\"nebula.png\\\"));\\n happyCloud = new HappyCloud(2450, 308);\\n break;\\n case 10:\\n nebulae.add(new Obstacle(300, 350, \\\"nebula.png\\\"));\\n clouds.add(new EvilCloud(500, 50));\\n planets.add(new Obstacle(1200, 20, \\\"greenPlanet.png\\\"));\\n blackHoles.add(new Obstacle(1200, 500, \\\"blackHole.png\\\"));\\n nebulae.add(new Obstacle(1750, 300, \\\"nebula.png\\\"));\\n happyCloud = new HappyCloud(2300, 350);\\n bonusQuokkas.add(new BonusQuokka(950, 70));\\n planets.add(new Obstacle(2700, 500, \\\"greenPlanet.png\\\"));\\n planets.add(new Obstacle(2700, 30, \\\"greenPlanet.png\\\"));\\n nebulae.add(new Obstacle(2950, 400, \\\"nebula.png\\\"));\\n nebulae.add(new Obstacle(2950, 100, \\\"nebula.png\\\"));\\n break;\\n }\\n break;\\n case 6:\\n levelBackground = new Texture(\\\"futureBackground.png\\\");\\n switch(level){\\n case 1:\\n walls.add(new Wall(-100,380, \\\"futureWall.png\\\"));\\n walls.add(new Wall(-100, -215, \\\"futureWall.png\\\"));\\n portals.add(new Obstacle(25, 50, \\\"portal.png\\\"));\\n walls.add(new Wall(200,380, \\\"futureWall.png\\\"));\\n walls.add(new Wall(200, -215, \\\"futureWall.png\\\"));\\n portals.add(new Obstacle(450, 600, \\\"portal.png\\\"));\\n clouds.add(new EvilCloud(600, 100));\\n bonusQuokkas.add(new BonusQuokka(450, 20));\\n clouds.add(new EvilCloud(850, 600));\\n happyCloud = new HappyCloud(1200, 550);\\n break;\\n case 2:\\n walls.add(new Wall(200, -50, \\\"futureWall.png\\\"));\\n laserGuns.add(new LaserGun(350, 50));\\n clouds.add(new EvilCloud(600, 350));\\n bonusQuokkas.add(new BonusQuokka(700, 50));\\n walls.add(new Wall(1100, 350, \\\"futureWall.png\\\"));\\n walls.add(new Wall(1500, -220, \\\"futureWall.png\\\"));\\n happyCloud = new HappyCloud(1650, 50);\\n break;\\n case 3:\\n drones.add(new Drone(400, 600));\\n walls.add(new Wall(652, 350, \\\"futureWall.png\\\"));\\n walls.add(new Wall(950, -150, \\\"futureWall.png\\\"));\\n drones.add(new Drone(1300, 50));\\n clouds.add(new EvilCloud(1500, 250));\\n bonusQuokkas.add(new BonusQuokka(1550, 20));\\n clouds.add(new EvilCloud(1750, 250));\\n happyCloud = new HappyCloud(1950, 20);\\n break;\\n case 4:\\n walls.add(new Wall(200, -130, \\\"futureWall.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(600, 200));\\n laserGuns.add(new LaserGun(950, 550));\\n laserGuns.add(new LaserGun(1100, 0));\\n happyCloud = new HappyCloud(1050, 250);\\n break;\\n case 5:\\n walls.add(new Wall(0, 427, \\\"horizontFutureWall.png\\\"));\\n walls.add(new Wall(-595, 427, \\\"horizontFutureWall.png\\\"));\\n portals.add(new Obstacle(781, 600, \\\"portal.png\\\"));\\n portals.add(new Obstacle(-300, 266, \\\"portal.png\\\"));\\n portals.add(new Obstacle(331, 266, \\\"portal.png\\\"));\\n walls.add(new Wall(-718, -45, \\\"futureWall.png\\\"));\\n walls.add(new Wall(595, -45, \\\"futureWall.png\\\"));\\n clouds.add(new EvilCloud(751, 350));\\n clouds.add(new EvilCloud(1250, 350));\\n bonusQuokkas.add(new BonusQuokka(1100, 400));\\n portals.add(new Obstacle(1050, 175, \\\"portal.png\\\"));\\n portals.add(new Obstacle(1300, 550, \\\"portal.png\\\"));\\n clouds.add(new EvilCloud(1850, 595));\\n walls.add(new Wall(2100, 0, \\\"futureWall.png\\\"));\\n portals.add(new Obstacle(2243, 350, \\\"portal.png\\\"));\\n happyCloud = new HappyCloud(2483, 100);\\n break;\\n case 6:\\n walls.add(new Wall(650, 250, \\\"futureWall.png\\\"));\\n laserGuns.add(new LaserGun(450, 500));\\n portals.add(new Obstacle(800, 600, \\\"portal.png\\\"));\\n walls.add(new Wall(1050, -211, \\\"futureWall.png\\\"));\\n walls.add(new Wall(1050, 384, \\\"futureWall.png\\\"));\\n portals.add(new Obstacle(1200, 50, \\\"portal.png\\\"));\\n drones.add(new Drone(1800, 650));\\n walls.add(new Wall(2050, -100, \\\"futureWall.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(2250, 50));\\n clouds.add(new EvilCloud(2700, 550));\\n walls.add(new Wall(3200, -50, \\\"futureWall.png\\\"));\\n happyCloud = new HappyCloud(3400, 50);\\n break;\\n case 7:\\n drones.add(new Drone(-250, 450));\\n clouds.add(new EvilCloud(250, 500));\\n portals.add(new Obstacle(500, 250, \\\"portal.png\\\"));\\n clouds.add(new EvilCloud(450, 0));\\n bonusQuokkas.add(new BonusQuokka(770, 250));\\n portals.add(new Obstacle(600, 550, \\\"portal.png\\\"));\\n walls.add(new Wall(1020, -95, \\\"futureWall.png\\\"));\\n drones.add(new Drone(1170, 50));\\n clouds.add(new EvilCloud(1470, 550));\\n clouds.add(new EvilCloud(1720, 150));\\n happyCloud = new HappyCloud(2190, 0);\\n break;\\n case 8:\\n walls.add(new Wall(150, 350, \\\"futureWall.png\\\"));\\n portals.add(new Obstacle(300, 600, \\\"portal.png\\\"));\\n walls.add(new Wall(475, -175, \\\"futureWall.png\\\"));\\n switches.add(new Obstacle(625, 0, \\\"wallSwitch.png\\\"));\\n walls.add(new Wall(475, 420, switches, 900, \\\"futureWall.png\\\"));\\n walls.add(new Wall(598, 420, \\\"horizontFutureWall.png\\\"));\\n portals.add(new Obstacle(1015, 239, \\\"portal.png\\\"));\\n walls.add(new Wall(1193, -52, \\\"futureWall.png\\\"));\\n walls.add(new Wall(1518, 375, \\\"futureWall.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(2100, 580));\\n clouds.add(new EvilCloud(2050, 380));\\n walls.add(new Wall(2300, 250, \\\"futureWall.png\\\"));\\n happyCloud = new HappyCloud(2500, 450);\\n break;\\n case 9:\\n drones.add(new Drone(150, 10));\\n walls.add(new Wall(350, -175, \\\"futureWall.png\\\"));\\n portals.add(new Obstacle(473, 50, \\\"portal.png\\\"));\\n walls.add(new Wall(637, 270, \\\"futureWall.png\\\"));\\n walls.add(new Wall(760, 270, \\\"horizontFutureWall.png\\\"));\\n walls.add(new Wall(1355, 270, \\\"horizontFutureWall.png\\\"));\\n walls.add(new Wall(637, -325, \\\"futureWall.png\\\"));\\n laserGuns.add(new LaserGun(1267, 20));\\n portals.add(new Obstacle(760, 400, \\\"portal.png\\\"));\\n portals.add(new Obstacle(1705, 400, \\\"portal.png\\\"));\\n portals.add(new Obstacle(2078, 400, \\\"portal.png\\\"));\\n walls.add(new Wall(1950, 270, \\\"futureWall.png\\\"));\\n bonusQuokkas.add(new BonusQuokka(2191, 105));\\n laserGuns.add(new LaserGun(2741, 150));\\n happyCloud = new HappyCloud(2991, 400);\\n break;\\n case 10:\\n laserGuns.add(new LaserGun(-450, 600));\\n laserGuns.add(new LaserGun(-450, 100));\\n walls.add(new Wall(300, 575, \\\"futureWall.png\\\"));\\n clouds.add(new EvilCloud(550, 30));\\n walls.add(new Wall(950, 375, \\\"futureWall.png\\\"));\\n laserGuns.add(new LaserGun(1100, 600));\\n clouds.add(new EvilCloud(1250, 50));\\n bonusQuokkas.add(new BonusQuokka(1550, 50));\\n walls.add(new Wall(1700, -150, \\\"futureWall.png\\\"));\\n walls.add(new Wall(2100, 300, \\\"futureWall.png\\\"));\\n happyCloud = new HappyCloud(2300, 500);\\n break;\\n }\\n break;\\n /*case 7:\\n switch(level){\\n case 1:\\n stoplights.add(new Stoplight(200, 568));\\n moveWalls.add(new MoveWall(300, 384, 192, 384, 3, stoplights.get(0)));\\n walls.add(new Wall(300, -211));\\n switches.add(new Obstacle(500, 20, \\\"wallSwitch.png\\\"));\\n walls.add(new Wall(750, -211));\\n walls.add(new Wall(750, 384, switches, 384));\\n airplanes.add(new Airplane(1150, 600, -100, 0));\\n happyCloud = new HappyCloud(950, 50);\\n break;\\n case 2:\\n walls.add(new Wall(200, 200));\\n stoplights.add(new Stoplight(450, 568));\\n moveWalls.add(new MoveWall(550, 384, 130, 384, 3, stoplights.get(0)));\\n moveWalls.add(new MoveWall(673, 384, 130, 384, 3, stoplights.get(0)));\\n moveWalls.add(new MoveWall(796, 384, 130, 384, 3, stoplights.get(0)));\\n walls.add(new Wall(550, -211));\\n walls.add(new Wall(673, -211));\\n walls.add(new Wall(796, -211));\\n clouds.add(new EvilCloud(1119, 575));\\n happyCloud = new HappyCloud(1369,50);\\n break;\\n case 3:\\n walls.add(new Wall(250, 534));\\n walls.add(new Wall(250, -361));\\n airplanes.add(new Airplane(550, 234, -150, 0));\\n walls.add(new Wall(750, -95));\\n airplanes.add(new Airplane(1050, 500, -150, 0));\\n walls.add(new Wall(1250, 200));\\n happyCloud = new HappyCloud(1400, 500);\\n break;\\n case 4:\\n airplanes.add(new Airplane(300, 600, -150, 0));\\n airplanes.add(new Airplane(300, 50, -150, 0));\\n airplanes.add(new Airplane(800, 350, -150, 0));\\n airplanes.add(new Airplane(1300, 350, -150, 0));\\n airplanes.add(new Airplane(1300, 600, -150, 0));\\n airplanes.add(new Airplane(1800, 350, -150, 0));\\n airplanes.add(new Airplane(1800, 50, -150, 0));\\n happyCloud = new HappyCloud(1350, 50);\\n break;\\n case 5:\\n stoplights.add(new Stoplight(200, 568));\\n moveWalls.add(new MoveWall(300, 645, 150, 100, 2, stoplights.get(0), \\\"horizontWall.png\\\"));\\n moveWalls.add(new MoveWall(300, 522, 150, 100, 2, stoplights.get(0), \\\"horizontWall.png\\\"));\\n moveWalls.add(new MoveWall(895, 645, 150, 100, 0, stoplights.get(0), \\\"horizontWall.png\\\"));\\n moveWalls.add(new MoveWall(895, 522, 150, 100, 0, stoplights.get(0), \\\"horizontWall.png\\\"));\\n stoplights.add(new Stoplight(200, 0));\\n moveWalls.add(new MoveWall(300, 0, 150, 100, 2, stoplights.get(1), \\\"horizontWall.png\\\"));\\n moveWalls.add(new MoveWall(300, 123, 150, 100, 2, stoplights.get(1), \\\"horizontWall.png\\\"));\\n moveWalls.add(new MoveWall(895, 0, 150, 100, 0, stoplights.get(1), \\\"horizontWall.png\\\"));\\n moveWalls.add(new MoveWall(895, 123, 150, 100, 0, stoplights.get(1), \\\"horizontWall.png\\\"));\\n airplanes.add(new Airplane(910, 334, -150, 0));\\n airplanes.add(new Airplane(1520, 334, -150, 0));\\n happyCloud = new HappyCloud(1520, 550);\\n break;\\n case 6:\\n windGusts.add(new Obstacle(300, 369, 1190, 399));\\n stoplights.add(new Stoplight(200, 0));\\n moveWalls.add(new MoveWall(300, 0, 150, 100, 2, stoplights.get(0), \\\"horizontWall.png\\\"));\\n moveWalls.add(new MoveWall(300, 123, 150, 100, 2, stoplights.get(0), \\\"horizontWall.png\\\"));\\n moveWalls.add(new MoveWall(895, 0, 150, 100, 0, stoplights.get(0), \\\"horizontWall.png\\\"));\\n moveWalls.add(new MoveWall(895, 123, 150, 100, 0, stoplights.get(0), \\\"horizontWall.png\\\"));\\n clouds.add(new EvilCloud(1690, 550));\\n clouds.add(new EvilCloud(2140, 0));\\n airplanes.add(new Airplane(2390, 550, -150, 0));\\n happyCloud = new HappyCloud(2390, 550);\\n break;\\n case 7:\\n airplanes.add(new Airplane(300, 880, 0, -150));\\n stoplights.add(new Stoplight(550, 568));\\n walls.add(new Wall(650, -211));\\n moveWalls.add(new MoveWall(650, 384, 130, 384, 3, stoplights.get(0)));\\n airplanes.add(new Airplane(850, 0, 0, 150));\\n stoplights.add(new Stoplight(1150, 568));\\n walls.add(new Wall(1250, -211));\\n moveWalls.add(new MoveWall(1250, 384, 130, 384, 3, stoplights.get(0)));\\n airplanes.add(new Airplane(1450, 880, 0, -150));\\n stoplights.add(new Stoplight(1750, 568));\\n walls.add(new Wall(1850, -211));\\n moveWalls.add(new MoveWall(1850, 384, 130, 384, 3, stoplights.get(0)));\\n airplanes.add(new Airplane(20, 880, 0, -150));\\n break;\\n case 8:\\n walls.add(new Wall(-200, 350, \\\"horizontWall.png\\\"));\\n airplanes.add(new Airplane(-400, 500, 150, 0));\\n airplanes.add(new Airplane(-400, 100, 150, 0));\\n walls.add(new Wall(700, 350, \\\"horizontWall.png\\\"));\\n walls.add(new Wall(1172, 473));\\n walls.add(new Wall(1595, -122));\\n walls.add(new Wall(1718, 261, \\\"horizontWall.png\\\"));\\n walls.add(new Wall(2563, 384));\\n windGusts.add(new Obstacle(2313, 100, 250, 434));\\n bonusQuokkas.add(new BonusQuokka(1800, 50));\\n happyCloud = new HappyCloud(2736, 410);\\n break;\\n case 9:\\n walls.add(new Wall(200, -200));\\n stoplights.add(new Stoplight(450, 169));\\n bonusQuokkas.add(new BonusQuokka(400, 50));\\n moveWalls.add(new MoveWall(650, 369, 150, 100, 2, stoplights.get(0)));\\n moveWalls.add(new MoveWall(650, 246, 150, 100, 2, stoplights.get(0)));\\n moveWalls.add(new MoveWall(650, 123, 150, 100, 2, stoplights.get(0)));\\n moveWalls.add(new MoveWall(650, 0, 150, 100, 2, stoplights.get(0)));\\n walls.add(new Wall(1245, 369));\\n walls.add(new Wall(1245, 246));\\n walls.add(new Wall(1245, 123));\\n walls.add(new Wall(1717, 492));\\n airplanes.add(new Airplane(1840, 292, -150, 0));\\n airplanes.add(new Airplane(1840, 130, -150, 0));\\n airplanes.add(new Airplane(2090, 550, 0, -150));\\n happyCloud = new HappyCloud(2290, 550);\\n break;\\n case 10:\\n walls.add(new Wall(250, -250));\\n walls.add(new Wall(373, 222, \\\"horizontWall.png\\\"));\\n stoplights.add(new Stoplight(2063, 145));\\n moveWalls.add(new MoveWall(968, 222, 250, 500, 0, stoplights.get(0), \\\"horizontWall.png\\\"));\\n walls.add(new Wall(1563, 345));\\n bonusQuokkas.add(new BonusQuokka(1743, 550));\\n walls.add(new Wall(1940, 345));\\n clouds.add(new EvilCloud(1890, -50));\\n clouds.add(new EvilCloud(2440, 250));\\n airplanes.add(new Airplane(2740, 500, -100, 0));\\n happyCloud = new HappyCloud(2740, 50);\\n break;\\n }\\n break;\\n case 8:\\n world = 8;\\n switch(level){\\n /*case 1:\\n levelBackground = new Texture(\\\"level1Background.png\\\");\\n bonusQuokkas.add(new BonusQuokka(200, 400));\\n happyCloud = new HappyCloud(500, 200);\\n break;\\n case 2:\\n levelBackground = new Texture(\\\"level3Background.png\\\");\\n walls.add(new Wall(350, -80, \\\"wall.png\\\"));\\n walls.add(new Wall(850, -230, \\\"wall.png\\\"));\\n clouds.add(new EvilCloud(1200, 460));\\n bonusQuokkas.add(new BonusQuokka(1200, 10));\\n happyCloud = new HappyCloud(500, 50);\\n break;\\n case 3:\\n levelBackground = new Texture(\\\"dino1Back.png\\\");\\n walls.add(new Wall(330, -200, \\\"stump.png\\\"));\\n meteors.add(new Meteor(600, 880, 0, 0));\\n tallDinos.add(new TallDino(700, -150, 1100, 200));\\n meteors.add(new Meteor( 1800, 880, 5, 0));\\n happyCloud = new HappyCloud(1450, 50);\\n break;\\n case 4:\\n levelBackground = new Texture( \\\"dino2Back.png\\\");\\n tallDinos.add(new TallDino( -50, -150, 100, 200));\\n tallDinos.add(new TallDino( 0, -150, 250, 200));\\n tallDinos.add(new TallDino( 200, -150, 500, 200));\\n tallDinos.add(new TallDino( 300, -150, 700, 200));\\n tallDinos.add(new TallDino( 500, -150, 900, 200));\\n tallDinos.add(new TallDino( 800, -150, 1200, 200));\\n happyCloud = new HappyCloud(1300, 50);\\n break;\\n case 1:\\n levelBackground = new Texture(\\\"level2Background.png\\\");\\n hawks.add(new Hawk(400,150));\\n happyCloud = new HappyCloud(850, 300);\\n break;\\n\\n }\\n break;*/\\n }\\n if(world == 3){\\n int i;\\n for(i = -220; i < happyCloud.getPosCloud().y; i+=595){\\n walls.add(new Wall(-30, i));\\n walls.add(new Wall(cam.viewportWidth- 10, i));\\n \\n }\\n \\n walls.add(new Wall(93, i - 123, \\\"horizontWall.png\\\"));\\n walls.add(new Wall(688, i - 123, \\\"horizontWall.png\\\"));\\n }\\n else if(world == 5){\\n for(int i = -877; i < happyCloud.getPosCloud().x + 2000; i+=595){\\n walls.add(new Wall(i, -100, \\\"horizontAsteroidBelt.png\\\"));\\n walls.add(new Wall(i, cam.viewportHeight - 10, \\\"horizontAsteroidBelt.png\\\"));\\n }\\n }\\n if(portals.size > 0){\\n portalAnimation = new Animation(\\\"portalFrames\\\", \\\"Portal_Final00\\\", 100, 1.5f);\\n }\\n if(blackHoles.size > 0){\\n //blackHoleAnimation = new Animation(\\\"blackHoleFrames\\\", \\\"Blackhole_Final00\\\", 100, 0.5f);\\n }\\n collectedQuokkas.setSize(bonusQuokkas.size);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e972458e2a64899882dadec122501ef2\",\n \"score\": \"0.5454823\",\n \"text\": \"public MWWorld() {\\n\\t\\tsuper(new BoundedGrid<Actor> (GRID_WIDTH, GRID_LENGTH));\\n\\t\\tthis.grid = (BoundedGrid<Actor>)(super.getGrid());\\n\\t\\tthis.isFirstRound = true;\\n\\t\\tthis.gameOver = false;\\n\\t\\tthis.mwsh = new MWSoundHandler();\\n\\t\\t\\n\\t\\t/* set up the KeyEventDispatcher. The method that handles KeyEvents\\n\\t\\t * is part of the MWWorld class (see below).\\n\\t\\t */\\n\\t\\tthis.kfm = KeyboardFocusManager.getCurrentKeyboardFocusManager();\\n\\t\\tthis.ked = new KeyEventDispatcher() { // an anonymous class :P\\n\\t\\t\\tpublic boolean dispatchKeyEvent(KeyEvent event) {\\n\\t\\t\\t\\treturn MWWorld.this.dispatch(event);\\n\\t\\t\\t}\\n\\t\\t};\\n\\t\\tthis.kfm.addKeyEventDispatcher(this.ked);\\n\\t\\t\\n\\t\\tthis.score1 = this.score2 = 0;\\n\\t\\t\\n\\t\\tstoplight = null;\\n\\t\\tstoplightBoundary = null;\\n\\t\\texpBlocks = null;\\n\\t\\tpowers = null;\\n\\t\\t\\n\\t\\tsuper.setMessage(\\n\\t\\t\\t\\t\\t\\t \\\"Use the arrow keys(Player 2/Red) or the a/s/d/w keys(Player 1/Blue)\\\"\\n\\t\\t\\t\\t\\t\\t + \\\"to make the MinuWaller turn left or right.\\\\nSet the slider below to the Fastest setting and resize this window to the size of the grid \\\"\\n\\t\\t\\t\\t\\t\\t + \\\"for the best gameplay experience.\\\"\\n\\t\\t\\t\\t\\t\\t );\\n\\t\\t\\n\\t\\tp1 = p2 = null;\\n\\t\\t\\n\\t\\tthis.steps = 0;\\n\\t\\tisPaused = false;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"91eee7efb00d0289362995f41aa87672\",\n \"score\": \"0.545425\",\n \"text\": \"@Override\\n\\tpublic void init(GLAutoDrawable arg0) {\\n\\t g3d = Graphics3D.getInstance ();\\n\\t wld = new World ();\\n\\t \\n\\t Camera cam = new Camera ();\\n\\t cam.translate (0,0,5);\\n\\t wld.addChild (cam);\\n\\t wld.setActiveCamera (cam);\\n\\n\\t VertexArray positions = new VertexArray (4, 3, 2);\\n\\t short[] positionValues = {1,-1,0, 1,1,0, -1,-1,0, -1,1,0};\\n\\t positions.set (0, 4, positionValues);\\n\\n\\t VertexArray colors = new VertexArray (4, 3, 1);\\n\\t byte colorValues[] = {127,127,127, 127,127,127, 127,127,127, 127,127,127};\\n\\t colors.set (0, 4, colorValues);\\n\\n\\t VertexArray texCoords = new VertexArray (4, 2, 2);\\n\\t short texCoordValues[] = {1,0, 1,1, 0,0, 0,1};\\n\\t texCoords.set (0, 4, texCoordValues);\\n\\n\\t float scale = 1;\\n\\t float[] bias = {0,0,0};\\n\\t VertexBuffer vertices = new VertexBuffer ();\\n\\t vertices.setPositions (positions, scale, bias);\\n\\t vertices.setColors (colors);\\n\\t vertices.setTexCoords (0, texCoords, scale, bias);\\n\\t vertices.setTexCoords (1, texCoords, scale, bias);\\n\\t \\n\\t int[] strips = {3,3};\\n\\t int[] indices = {0,1,2, 2,1,3};\\n\\n\\t \\n\\t TriangleStripArray tris = new TriangleStripArray (indices, strips);\\n\\n\\t Image2D img0 = null;\\n\\t try {\\n\\t \\timg0 = (Image2D)(Loader.load (\\\"res/yumemi.png\\\")[0]);\\n\\t } catch (IOException e) {\\n\\t \\te.printStackTrace();\\n\\t }\\n \\tTexture2D tex0 = new Texture2D (img0);\\n\\n\\t Image2D img1 = null;\\n\\t try {\\n\\t \\timg1 = (Image2D)(Loader.load (\\\"res/onnanoko.png\\\")[0]);\\n\\t } catch (IOException e) {\\n\\t \\te.printStackTrace();\\n\\t }\\n\\t \\n\\t Texture2D tex1 = new Texture2D (img1);\\n\\t tex1.setBlending (Texture2D.FUNC_DECAL);\\n\\n\\t Appearance app = new Appearance ();\\n\\t app.setTexture (0, tex0);\\n\\t app.setTexture (1, tex1);\\n\\n\\t Mesh mesh = new Mesh (vertices, tris, app);\\n\\t mesh.translate (0,0,2);\\n\\t wld.addChild (mesh);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ec553e7e2734e46b224499fc7d59ce63\",\n \"score\": \"0.54542476\",\n \"text\": \"public static World getWorld () {\\n // make sure we have a world, just in case...\\n if (ourWorld == null) { throw new Error(\\\"call initWorld() before you call getWorld()!\\\"); }\\n\\n return ourWorld;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e2a66c13e475f4c254580835463fde1d\",\n \"score\": \"0.54463756\",\n \"text\": \"public static void initWorld() {\\r\\n world = new WorldTest();\\r\\n run = new Runtime(world);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3a79986c5fb417d0784132a5f103e140\",\n \"score\": \"0.5435912\",\n \"text\": \"@Override\\n\\tpublic BulletWorld createWorld() {\\n\\t\\tbtDefaultCollisionConfiguration collisionConfiguration = new btDefaultCollisionConfiguration();\\n\\t\\tbtCollisionDispatcher dispatcher = new btCollisionDispatcher(collisionConfiguration);\\n\\t\\tbtAxisSweep3 sweep = new btAxisSweep3(new Vector3(-1000, -1000, -1000), new Vector3(1000, 1000, 1000));\\n\\t\\tbtSequentialImpulseConstraintSolver solver = new btSequentialImpulseConstraintSolver();\\n\\t\\tbtDiscreteDynamicsWorld collisionWorld = new btDiscreteDynamicsWorld(dispatcher, sweep, solver, collisionConfiguration);\\n ghostPairCallback = new btGhostPairCallback();\\n\\t\\tsweep.getOverlappingPairCache().setInternalGhostPairCallback(ghostPairCallback);\\n\\t\\treturn new BulletWorld(collisionConfiguration, dispatcher, sweep, solver, collisionWorld);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e44018fd3da17c626006a5805207d791\",\n \"score\": \"0.5432057\",\n \"text\": \"public WorldPanel() {\\n super(true); // 11/1\\n //setOpaque(false);\\n initialize();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"efbf1946f68ab64d436b4489aafec4bf\",\n \"score\": \"0.5430891\",\n \"text\": \"public MyAgent(World world)\\n {\\n w = world; \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"da6483fe1c1f0a6eb7d65f241382e639\",\n \"score\": \"0.5429529\",\n \"text\": \"public WorldScene makeScene() {\\n WorldScene scene = new WorldScene(this.width, this.height);\\n // display grid on worldscene\\n for (int i = 0; i < this.grid.size(); i += 1) {\\n ArrayList<Cell> row = this.grid.get(i);\\n for (int j = 0; j < row.size(); j += 1) {\\n Cell curr = row.get(j);\\n if (i == 0 && j == 0) {\\n curr.clr = new Color(0, 100, 0);\\n } else if (i == this.grid.size() - 1 && j == row.size() - 1) {\\n curr.clr = new Color(128, 0, 128);\\n } else if (j == this.curLoc.x && i == this.curLoc.y) {\\n curr.clr = new Color(0, 255,0);\\n }\\n scene.placeImageXY(curr.renderCell(), j * this.cellSize, i * this.cellSize);\\n }\\n }\\n RectangleImage border = new RectangleImage(this.width * this.cellSize,\\n this.height * this.cellSize, OutlineMode.OUTLINE, Color.GRAY);\\n scene.placeImageXY(border, this.width * this.cellSize / 2,\\n this.height * this.cellSize / 2);\\n\\n if ((this.curLoc.x == this.width - 1) && (this.curLoc.y == this.height - 1)) {\\n TextImage t = new TextImage(\\\"You solved the maze with \\\"\\n + this.playerWrongMoves()\\n + \\\" wrong moves\\\", Color.BLACK);\\n if (this.height * this.cellSize > 680) {\\n scene.placeImageXY(t, 550, 690);\\n } else {\\n scene.placeImageXY(t, 550, this.height * this.cellSize + 10);\\n }\\n }\\n\\n if (searchedMaze) {\\n TextImage t = new TextImage(\\\"The search algorithm had: \\\"\\n + this.search.numWrongMoves()\\n + \\\" wrong moves\\\", Color.BLACK);\\n if (this.height * this.cellSize > 700) {\\n scene.placeImageXY(t, 550, 710);\\n } else {\\n scene.placeImageXY(t, 550, this.height * this.cellSize + 30);\\n }\\n }\\n\\n\\n return scene;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1fd5d13a0a8d09a739bf5eab35b4175e\",\n \"score\": \"0.5426534\",\n \"text\": \"static public World Build(){\\n\\t\\t// creates a world \\n\\t\\treturn new World(){\\n\\t\\t\\t@Override\\n\\t\\t\\t// this overrides the init that is called by the constructor\\n\\t\\t\\tprotected void init(){\\n\\t\\t\\t\\t// list of the states to store\\n\\t\\t\\t\\tArrayList <State> states = new ArrayList<>();\\n\\t\\t\\t\\t// list of the continents to store\\n\\t\\t\\t\\tArrayList <Continent> continents = new ArrayList<>();\\n\\t\\t\\t\\t// list of list of states. each element of the list (one for each continent) is the list of states that are in that continent\\n\\t\\t\\t\\tArrayList <List<State>> continent_ownership = new ArrayList<>();\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// color to associate to the continents. 6 as speciefied in constatns file\\n\\t\\t\\t\\tfinal Color[] colors = { Color.YELLOW, Color.BLUE, Color.GREEN, Color.PINK, Color.ORANGE, Color.CYAN };\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tfor ( int i=0; i<Constants.NUM_CONTINENTS; i++ )\\n\\t\\t\\t\\t\\t// for each continent a new continent is added the list after been instantiad and initialized\\n\\t\\t\\t\\t\\tcontinents.add( new Continent(i){\\n\\t\\t\\t\\t\\t\\t@Override\\n\\t\\t\\t\\t\\t\\t// init called by the constructor\\n\\t\\t\\t\\t\\t\\tprotected void init(int i){\\n\\t\\t\\t\\t\\t\\t\\tthis.name = Constants.CONTINENT_NAMES[i];\\n\\t\\t\\t\\t\\t\\t\\tthis.index = i;\\n\\t\\t\\t\\t\\t\\t\\tthis.color = colors[i];\\n\\t\\t\\t\\t\\t\\t\\tthis.value = Constants.CONTINENT_VALUES[i];\\n\\t\\t\\t\\t\\t\\t\\t// WORINNG: if states list is return by some getter, it will expose the internal rep.\\n\\t\\t\\t\\t\\t\\t\\tthis.states = new ArrayList<State>();\\n\\t\\t\\t\\t\\t\\t\\t// must be temporanly memorized to add elements later\\n\\t\\t\\t\\t\\t\\t\\tcontinent_ownership.add( this.states );\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t} );\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// default neutral player \\n\\t\\t\\t\\tNeutralPlayer default_player = new NeutralPlayer(0,\\\"Default\\\");\\n\\t\\t\\t\\tfor ( int i=0; i<Constants.NUM_COUNTRIES; i++ )\\n\\t\\t\\t\\t\\t// for each country a new country is added the list after been instantiad and initialized\\n\\t\\t\\t\\t\\tstates.add( new State( i ){\\n\\t\\t\\t\\t\\t\\t@Override\\n\\t\\t\\t\\t\\t\\t// call by the constructor\\n\\t\\t\\t\\t\\t\\tprotected void init(int i) {\\n\\t\\t\\t\\t\\t\\t\\tthis.index = i;\\n\\t\\t\\t\\t\\t\\t\\tthis.name = Constants.COUNTRY_NAMES[i];\\n\\t\\t\\t\\t\\t\\t\\tthis.x = Constants.COUNTRY_COORD[i][0];\\n\\t\\t\\t\\t\\t\\t\\tthis.y = Constants.COUNTRY_COORD[i][1];\\n\\t\\t\\t\\t\\t\\t\\tthis.adjacent = Constants.ADJACENT[i];\\n\\t\\t\\t\\t\\t\\t\\tthis.continent = continents.get( Constants.CONTINENT_IDS[i] );\\n\\t\\t\\t\\t\\t\\t\\tthis.setOwner(default_player);\\n\\t\\t\\t\\t\\t\\t\\t// it adds itself to the continent list of states\\n\\t\\t\\t\\t\\t\\t\\tcontinent_ownership.get( Constants.CONTINENT_IDS[i] ).add( this );\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t});\\n\\n\\t\\t\\t\\t// since the lists are returned by getters, it is safer not to allow to modify them\\n\\t\\t\\t\\tthis.states = Collections.unmodifiableList( states );\\n\\t\\t\\t\\tthis.continents = Collections.unmodifiableList( continents );\\n\\t\\t\\t}\\n\\t\\t};\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39bf850f84e965229daa0d96dcda1e61\",\n \"score\": \"0.54257035\",\n \"text\": \"public GameWorld makeGameWorld(String gameName, Vector frameSize, double frameRate,\\n Vector minScreen, Vector maxScreen)\\n throws IOException, SAXException, ParserConfigurationException, GameObjectMakerException {\\n\\n CollisionsParser collisionsParser = new CollisionsParser();\\n Map<String, Map<String, List<MethodBundle>>> collisions = collisionsParser\\n .parseCollisions(new File(\\\"data/\\\" + gameName + \\\"/collisions.xml\\\"));\\n\\n List<GameObject> gameObjects = new ArrayList<>();\\n List<GameObject> actors = new ArrayList<>();\\n\\n for (GameObjectMaker gameObjectMaker : gameObjectMakerList) {\\n GameObject gameObject = gameObjectMaker.createGameObject();\\n\\n if (gameObject instanceof Destroyable) {\\n actors.add(gameObject);\\n }\\n gameObjects.add(gameObject);\\n }\\n\\n if (player == null) {\\n throw new GameObjectMakerException(\\\"Must have a valid Player\\\");\\n }\\n\\n LevelParser levelParser = new LevelParser(new File(\\\"data/\\\" + gameName + \\\"/Level1.xml\\\"));\\n return new GameWorld(player, collisions, gameObjects, actors, frameSize, 3,\\n levelParser.getGlobalGravity(), frameRate, minScreen, maxScreen);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d5bbf383818b03e8dee874b8feaddf34\",\n \"score\": \"0.5420657\",\n \"text\": \"public myWorld()\\n { \\n // Create a new world with 1200x800 cells with a cell size of 1x1 pixels.\\n super(1200, 800, 1); \\n // adding walls, cherries, player, and the exit to the maze\\n addObject(new wallTwo(), 126, 436);\\n addObject(new wallTwo(), 126, 611);\\n addObject(new wallTwo(), 454, 619);\\n addObject(new wallTwo(), 353, 237);\\n addObject(new wallTwo(), 235, 189);\\n addObject(new wallTwo(), 454, 676);\\n addObject(new wallTwo(), 126, 274);\\n addObject(new wallTwo(), 21, 83);\\n addObject(new wallTwo(), 1090, 24);\\n addObject(new wallTwo(), 596, 614);\\n addObject(new wallTwo(), 967, 215);\\n addObject(new wallTwo(), 771, 88);\\n addObject(new wallTwo(), 967, 366);\\n addObject(new wallTwo(), 1090, 276);\\n addObject(new wallTwo(), 1090, 444);\\n addObject(new wallTwo(), 850, 265);\\n addObject(new wallTwo(), 233, 612);\\n addObject(new wallTwo(), 233, 711);\\n addObject(new wallTwo(), 342, 543);\\n addObject(new wallTwo(), 342, 599);\\n addObject(new wallTwo(), 596, 543);\\n addObject(new wall(), 292, 436);\\n addObject(new wall(), 562, 306);\\n addObject(new wall(), 319, 82);\\n addObject(new wall(), 762, 435);\\n addObject(new wall(), 436, 781);\\n addObject(new wall(), 935, 781);\\n addObject(new wall(), 1134, 654);\\n addObject(new wall(), 1070, 18);\\n addObject(new wall(), 968, 18);\\n addObject(new wall(), 1012, 539);\\n addObject(new wall(), 902, 539);\\n addObject(new wall(), 604, 82);\\n addObject(new wall(), 647, 196);\\n addObject(new wall(), 562, 306);\\n addObject(new wall(), 663, 650);\\n addObject(new question(), 183, 379);\\n addObject(new question(), 421, 244);\\n addObject(new question(), 783, 377);\\n addObject(new question(), 523, 581);\\n addObject(new question(), 526, 714);\\n addObject(new question(), 1158, 482);\\n addObject(new Exit(), 1162, 737);\\n addObject(player, 50, 750);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a86e871862fcc6aba5080c34783cb0c8\",\n \"score\": \"0.5419172\",\n \"text\": \"void makeLightWand(double radius, double height, double intensity){\\n RiTransformBegin();\\n //RiRotate(180.0, 0.0, 1.0, 0.0);\\n RiRotate(90.0, 0.0, 0.0, 1.0);\\n //RiTranslate(0.0, 0.75*height, 0.0);\\n //RiTranslate(0.0, -30.0, 0.0);\\n //RiRotate(45.0, 0.0, 1.0, 0.0);\\n makeBulb(radius, 1.2 * height);\\n RiTranslate(0.0, 1.2 * height / 4.0, 0.0);\\n makeLight(radius, height / 2.0, intensity);\\n RiTranslate(0.0, -0.75*height, 0.0);\\n makeWand(0.5 *radius, 0.75* height);\\n RiTransformEnd();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e6a8f3df08b16551ccad2aabb868d7f4\",\n \"score\": \"0.53996444\",\n \"text\": \"public void run() {\\n createWorld();\\n userInterface();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d14d6960e71175c4e466d5e593a1c77e\",\n \"score\": \"0.53911835\",\n \"text\": \"public MainGame(PlatformExample game){\\n // we save this so we can talk to it later\\n this.gameManager = game;\\n // create our new player at 100,100\\n p1 = new Player(100,100);\\n // generate the world\\n world = new World();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b1c8e6832f8ce50a52964b7ab75af0b\",\n \"score\": \"0.53854\",\n \"text\": \"private void init() \\r\\n\\t{\\r\\n\\t\\tbatch = new SpriteBatch();\\r\\n\\t\\tcamera = new OrthographicCamera(Constants.VIEWPORT_WIDTH, \\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t Constants.VIEWPORT_HEIGHT);\\r\\n\\t\\tcamera.position.set(0,0,0);\\r\\n\\t\\tcamera.update();\\r\\n\\t\\tcameraGUI = new OrthographicCamera(Constants.VIEWPORT_GUI_WIDTH, Constants.VIEWPORT_GUI_HEIGHT);\\r\\n\\t\\tcameraGUI.position.set(0,0,0);\\r\\n\\t\\tcameraGUI.setToOrtho(true); //flip y axis\\r\\n\\t\\tcameraGUI.update();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4ed29e405ecea39fc4ed9ba43ed6d889\",\n \"score\": \"0.53845996\",\n \"text\": \"public void createWorldAutomatic(String[] parameters) {\\n world = new World(Integer.parseInt(parameters[0]), Integer.parseInt(parameters[1]),\\n Integer.parseInt(parameters[2]), Integer.parseInt(parameters[3]), Integer.parseInt(parameters[4]));\\n try {\\n world.loadData();\\n } catch (ClassNotFoundException e) {\\n e.printStackTrace();\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1e1d6d288e05d7993b18d2d4d0673dfc\",\n \"score\": \"0.5380165\",\n \"text\": \"public PhysicsEngine(RvsB_World world) {\\n\\t\\tthis.world = world;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"03b0fc8c2be07e39c9e36c47c463064e\",\n \"score\": \"0.5369502\",\n \"text\": \"public SmartWorld(int x, int y) {\\r\\n\\t\\tsuper(x, y);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5677156a96a26d8425d858ce7fe93377\",\n \"score\": \"0.536786\",\n \"text\": \"public TavernWorld(String config)\\n {\\n super(config); \\n prepare();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0dd3e9ee9e465c895d432060a3dc508a\",\n \"score\": \"0.53593343\",\n \"text\": \"public World onTick() {\\n return new GameWorld(this.a, this.stones.moveAllStones());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"38ddac5dbf89acf2b4413e01b47ba56f\",\n \"score\": \"0.53508013\",\n \"text\": \"private OrthographicCamera createCamera() {\\n\\n OrthographicCamera camera = new OrthographicCamera(VIEWPORT_WIDTH / PIXEL_TO_METER, VIEWPORT_HEIGHT / PIXEL_TO_METER);\\n camera.position.set(camera.viewportWidth / 2f, camera.viewportHeight / 2f, 0);\\n camera.update();\\n\\n if (DEBUG_PHYSICS) {\\n debugRenderer = new Box2DDebugRenderer();\\n debugCamera = camera.combined.cpy();\\n debugCamera.scl(1 / PIXEL_TO_METER);\\n }\\n\\n return camera;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"275a023345c4758ebd7ee47c3fe18f0a\",\n \"score\": \"0.5349129\",\n \"text\": \"public static void setUpCameraLook() {\\n\\t\\tEngine.gl.glMatrixMode(GL2.GL_PROJECTION);\\n\\t\\tEngine.gl.glLoadIdentity();\\n\\t\\tEngine.gl.glFrustumf(-realFOV, realFOV, -realFOV*aspect, realFOV*aspect, 1, 10000);\\n\\t\\tswitch (mode) {\\n\\t\\tcase FREELOOK:\\n\\t\\t\\tEngine.gl.glRotatef(pitch, 1, 0, 0);\\n\\t\\t\\tEngine.gl.glRotatef(yaw, 0, 1, 0);\\n\\t\\t\\tEngine.gl.glTranslatef(-pos.x, -pos.y, -pos.z);\\n\\t\\t\\tbreak;\\n\\t\\tcase TARGET:\\n\\t\\t\\tEngine.gl.glTranslatef(0, 0, -zoom);\\n\\t\\t\\tEngine.gl.glRotatef(pitch, 1, 0, 0);\\n\\t\\t\\tEngine.gl.glRotatef(yaw, 0, 1, 0);\\n\\t\\t\\tEngine.gl.glTranslatef(-target.x, -target.y, -target.z);\\n\\t\\t\\tbreak;\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4535974c5a5cc9be1667fef846260783\",\n \"score\": \"0.53479886\",\n \"text\": \"public Engine()\\n\\t{\\n\\t\\tfor( int i = 0; i < world.length; ++i )\\n\\t\\t{\\n\\t\\t\\tfor(int j = 0; j < world[i].length; ++j )\\n\\t\\t\\t{\\n\\t\\t\\t\\tworld[i][j] = null;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\tsetPlayer();\\n\\t\\tsetRooms();\\n\\t\\tsetPowers();\\n\\t\\tsetEnemies(6);\\n\\t\\treveal = false;\\n\\t\\tlevel = 1;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d20e609824d1cceb1b16c62ad3ed48d\",\n \"score\": \"0.53478986\",\n \"text\": \"public Camera() {\\n\\t\\tcenterOfProjection = new Vector3f(-5, 0, 20);\\n\\t\\tlookAtPoint = new Vector3f(0, 0, 0);\\n\\t\\tupVector = new Vector3f(0, 1, 0);\\n\\t\\tcameraMatrix = new Matrix4f();\\n\\t\\tthis.updateCamera();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e60a9af3677fa7a7d20e51f5be7fc8b\",\n \"score\": \"0.53407085\",\n \"text\": \"public Normalstage()\\r\\n { \\r\\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\r\\n super(800, 400, 1);\\r\\n Restart.count = 2;\\r\\n addObject(new Block(8),33,300);\\r\\n addObject(new Block(9),770,315);\\r\\n addObject(new Block(4),115,207);\\r\\n addObject(new Block(7),219,260);\\r\\n addObject(new Block(3),318,251);\\r\\n addObject(new Block(2),365,169);\\r\\n addObject(new Block(1),438,103);\\r\\n addObject(new Block(5),540,203);\\r\\n addObject(new Block(6),670,271);\\r\\n addObject(new Player(),33,160);\\r\\n addObject(new Counter(),33,220);\\r\\n addObject(new Timer(),760,20);\\r\\n addObject(new Deathcount(),680,20);\\r\\n addObject(new Restart(),480,370);\\r\\n addObject(new BacktoMenu(),628,374);\\r\\n Sound.started();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2356e530ff43dc740ea7ab5401f3b379\",\n \"score\": \"0.5336739\",\n \"text\": \"public BedrockWorldType() {\\n super(\\\"bedrockworld\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1ba0c9ace233ab5a7e5e74aa36c0ff7\",\n \"score\": \"0.5336498\",\n \"text\": \"public World getWorld() {\\r\\n return world;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c4a3114c8b1df16f935311a01cbef265\",\n \"score\": \"0.5330704\",\n \"text\": \"@Override\\n public void robotInit() {\\n imu.setYawAxis(IMUAxis.kY);\\n m_colorMatcher.addColorMatch(kBlueTarget);\\n m_colorMatcher.addColorMatch(kGreenTarget);\\n m_colorMatcher.addColorMatch(kRedTarget);\\n m_colorMatcher.addColorMatch(kYellowTarget);\\n // BEGIN AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\\n drivetrain = new Drivetrain();\\n winchMotor = new WinchMotor();\\n towerMotor = new TowerMotor();\\n ballCatcher = new BallCatcher();\\n conveyorBelt = new ConveyorBelt();\\n shooter = new Shooter();\\n server = CameraServer.getInstance();\\n UsbCamera camera = server.startAutomaticCapture();\\n camera.setResolution(640, 480);\\n\\n\\n\\n // END AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\\n // OI must be constructed after subsystems. If the OI creates Commands\\n //(which it very likely will), subsystems are not guaranteed to be\\n // constructed yet. Thus, their requires() statements may grab null\\n // pointers. Bad news. Don't move it.\\n oi = new OI();\\n autonomousCommand = new AutonomousStage();\\n\\n HAL.report(tResourceType.kResourceType_Framework, tInstances.kFramework_RobotBuilder);\\n\\n // Add commands to Autonomous Sendable Chooser\\n // BEGIN AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=AUTONOMOUS\\n\\n //chooser.setDefaultOption(\\\"Autonomous Command\\\", new AutonomousCommand());\\n\\n // END AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=AUTONOMOUS\\n //SmartDashboard.putData(\\\"Auto mode\\\", chooser);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef8663668eb01030dc6582c1ac9ea0a6\",\n \"score\": \"0.53296494\",\n \"text\": \"WorldScene makeWinScene() {\\r\\n WorldImage amit = new FromFileImage(\\\"src/amit.jpg\\\");\\r\\n WorldImage txt = new TextImage(\\\"WiNNER WINNER CHICKEN DINNER\\\", FloodGame.FONT_SIZE * 3,\\r\\n Color.BLUE);\\r\\n WorldImage txtAndAmit = new OverlayOffsetAlign(AlignModeX.CENTER, AlignModeY.MIDDLE, txt, 0, 40,\\r\\n amit);\\r\\n Utils.playSound(\\\"/win.wav\\\", false);\\r\\n return FloodGame.toWorldScene(txtAndAmit);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7f73768cb378be87b603c332406cc67b\",\n \"score\": \"0.53283954\",\n \"text\": \"private void prepare()\\n {\\n worldType = \\\"TavernWorld\\\";\\n tooltipTitle = \\\"Welcome, brave warrior! Your quest awaits you!\\\\nHeal up at the tavern before you head out!\\\";\\n Tavern tavern = new Tavern();\\n addObject(tavern, getWidth()/2, getHeight()/2);\\n\\n // System.out.println(\\\"Added scoreboard\\\");\\n // addObject(scoreboard,30,100);\\n\\n\\n tavern.setLocation(386,348);\\n //WorldManager.getNewInstance();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"68fd59d0347af8c8c0092fdd96c84471\",\n \"score\": \"0.5322014\",\n \"text\": \"private void createWalls() {\\n\\n // load tile map and map renderer\\n try {\\n tileMap = new TmxMapLoader().load(\\\"maps/level\\\" + level + \\\".tmx\\\");\\n } catch (Exception e) {\\n System.out.println(\\\"Cannot find file: maps/level\\\" + level + \\\".tmx\\\");\\n e.printStackTrace();\\n Gdx.app.exit();\\n }\\n tileMapWidth = (Integer) tileMap.getProperties().get(\\\"width\\\");\\n tileMapHeight = (Integer) tileMap.getProperties().get(\\\"height\\\");\\n tileSize = (Integer) tileMap.getProperties().get(\\\"tilewidth\\\");\\n tmRenderer = new OrthogonalTiledMapRenderer(tileMap);\\n\\n TiledMapTileLayer layer;\\n layer = (TiledMapTileLayer) tileMap.getLayers().get(\\\"blocks\\\");\\n createBlocks(layer, B2DVars.BIT_WALKABLE_BLOCK);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7a465fa0fed22f490c32d7239060eb65\",\n \"score\": \"0.5312953\",\n \"text\": \"public static void init() {\\n // BEGIN AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\\n driveSpeedControllerL = new Talon(1);\\n LiveWindow.addActuator(\\\"Drive\\\", \\\"Speed Controller Right\\\", (Talon) driveSpeedControllerR);\\n \\n driveSpeedControllerR = new Talon(0);\\n LiveWindow.addActuator(\\\"Drive\\\", \\\"Speed Controller Left\\\", (Talon) driveSpeedControllerL);\\n \\n driveTank4WheelRobotDrive = new RobotDrive(driveSpeedControllerL,driveSpeedControllerR);\\n \\n driveTank4WheelRobotDrive.setSafetyEnabled(true);\\r\\n driveTank4WheelRobotDrive.setExpiration(0.1);\\r\\n driveTank4WheelRobotDrive.setSensitivity(0.5);\\r\\n driveTank4WheelRobotDrive.setMaxOutput(1.0);\\r\\n\\n winchWinchController = new Talon(6);\\n LiveWindow.addActuator(\\\"Winch\\\", \\\"Winch Controller\\\", (Talon) winchWinchController);\\n \\n analogGyro = new AnalogGyro(0);\\n analogGyro.calibrate();\\n LiveWindow.addSensor(\\\"Drive\\\", \\\"Gyro\\\", (AnalogGyro) analogGyro);\\n\\n // END AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8746aa4b6d69616ec546422afc1c3e70\",\n \"score\": \"0.53124666\",\n \"text\": \"public World createWorld(double width, double height,\\n\\t\\t\\tboolean[][] passableMap, Random random){\\n\\t\\t\\n\\t\\ttry{\\n\\t\\tWorld world = new World(width, height, passableMap, random);\\n\\t\\treturn world;\\n\\t\\t}\\n\\t\\tcatch(IllegalArgumentException Exc){\\n\\t\\t\\tthrow new ModelException(\\\"Invalid name\\\");\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9b19550391f395ed1414edfac4f41f08\",\n \"score\": \"0.5310741\",\n \"text\": \"public HowToPlay()\\n { \\n // Create a new world with 600x400 cells with a cell size of 1x1 pixels.\\n super(1050, 825, 1); \\n renderer = new UIRenderer();\\n prepare();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"100698417d2844c402183ef52af58fe2\",\n \"score\": \"0.5310588\",\n \"text\": \"public World(MainScreenController main) {\\n\\n\\t\\tmsc = main;\\n\\n\\t\\tball = new Ball(100, 100, 20, 100, 0.0, 0.0);\\n\\t\\tgravityMag = 9.81;\\n\\t\\tspeed = 1.0;\\n\\n\\t\\tdata = new double[] {0, 0, 0, 0, 0};\\n\\n\\n\\t\\tcanvas = new Canvas(720, 720);\\n\\n\\t\\tobstacles = new ArrayList<Obstacle>();\\n\\t\\tobstacles.add(new Obstacle(0, 0, 0, canvas.getWidth()));\\n\\t\\tobstacles.add(new Obstacle(0, 0, 270, canvas.getHeight()));\\n\\t\\tobstacles.add(new Obstacle(canvas.getWidth(), canvas.getHeight(), 90, canvas.getHeight()));\\n\\t\\tobstacles.add(new Obstacle(0, canvas.getHeight(), 0, canvas.getWidth()));\\n\\n\\t\\tgc = canvas.getGraphicsContext2D();\\n\\n\\t\\tball.draw(gc);\\n\\n\\t\\ttimer = new AnimationTimer() {\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void handle(long now) {\\n\\t\\t\\t\\tGraphicsContext gc = canvas.getGraphicsContext2D();\\n\\n\\t\\t\\t\\tgc.setFill(Color.BEIGE);\\n\\t\\t\\t\\tgc.fillRect(0, 0, canvas.getWidth(), canvas.getHeight());\\n\\t\\t\\t\\tgc.setFill(Color.BLACK);\\n\\n\\t\\t\\t\\tball.draw(gc);\\n\\n\\t\\t\\t\\tArrayList<Force> forces = new ArrayList<Force>();\\n\\t\\t\\t\\tforces.add(new Force(270, gravityMag * ball.getMass()));\\n\\n\\t\\t\\t\\tfor (Obstacle o: obstacles) {\\n\\t\\t\\t\\t\\to.drawLine(gc);\\n\\n\\t\\t\\t\\t\\tif (ball.collides(o)) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tif (o.getNormalAngle() == 90)\\n\\t\\t\\t\\t\\t\\t\\tball.bounceY();\\n\\t\\t\\t\\t\\t\\telse if (o.getNormalAngle() == 0 || Math.abs(o.getNormalAngle()) == 180) {\\n\\t\\t\\t\\t\\t\\t\\tball.bounceX();\\n\\t\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\tdouble bAngle = ball.getAngle();\\n\\t\\t\\t\\t\\t\\t\\tdouble oAngle = 180 - o.getNormalAngle();\\n\\t\\t\\t\\t\\t\\t\\t\\n\\n\\t\\t\\t\\t\\t\\t\\tif (bAngle < oAngle + 90 && bAngle > oAngle - 90) {\\n\\t\\t\\t\\t\\t\\t\\t\\tdouble fAngle = (oAngle) + (oAngle - bAngle);\\n\\n\\t\\t\\t\\t\\t\\t\\t\\tif (o.getAngle() < 90 && o.getAngle() > 0)\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tball.setVX(-Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.cos(fAngle*Math.PI/180))));\\n\\n\\t\\t\\t\\t\\t\\t\\t\\telse if (-o.getAngle() > 90 && -o.getAngle() < 180)\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tball.setVX(-Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.cos(fAngle*Math.PI/180))));\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tball.setVX(Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.cos(fAngle*Math.PI/180))));\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\t\\tball.setVY(-Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.sin(fAngle*Math.PI/180))));\\n\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\telse {\\n\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\tdouble fAngle = (oAngle) + (oAngle - bAngle);\\n\\n\\t\\t\\t\\t\\t\\t\\tif (o.getAngle() < 90 && o.getAngle() > 0)\\n\\t\\t\\t\\t\\t\\t\\t\\tball.setVX(Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.cos(fAngle*Math.PI/180))));\\n\\n\\t\\t\\t\\t\\t\\t\\telse if (-o.getAngle() > 90 && -o.getAngle() < 180)\\n\\t\\t\\t\\t\\t\\t\\t\\tball.setVX(Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.cos(fAngle*Math.PI/180))));\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\t\\t\\t\\tball.setVX(-Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.cos(fAngle*Math.PI/180))));\\n\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\tball.setVY(Math.sqrt(Math.abs((Math.pow(ball.getVelocity(), 2))*Math.sin(fAngle*Math.PI/180))));\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tif (ball.getVX() > 800)\\n\\t\\t\\t\\t\\tball.setVX(800);\\n\\t\\t\\t\\tif (ball.getVY() > 800)\\n\\t\\t\\t\\t\\tball.setVY(800);\\n\\t\\t\\t\\tif (ball.getVX() < -800)\\n\\t\\t\\t\\t\\tball.setVX(-800);\\n\\t\\t\\t\\tif (ball.getVY() < -800)\\n\\t\\t\\t\\t\\tball.setVY(-800);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tball.act(speed, forces);\\n\\n\\t\\t\\t\\tmsc.refreshWorldBar();\\n\\t\\t\\t}\\n\\t\\t};\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e476755fa24e1d035d2721133909e70b\",\n \"score\": \"0.53104615\",\n \"text\": \"public static void init() {\\r\\n // BEGIN AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\\r\\n drivetrainSpeedController1 = new Talon(0);\\r\\n LiveWindow.addActuator(\\\"Drivetrain\\\", \\\"Speed Controller 1\\\", (Talon) drivetrainSpeedController1);\\r\\n \\r\\n drivetrainSpeedController2 = new Talon(1);\\r\\n LiveWindow.addActuator(\\\"Drivetrain\\\", \\\"Speed Controller 2\\\", (Talon) drivetrainSpeedController2);\\r\\n \\r\\n drivetrainSpeedController3 = new Talon(2);\\r\\n LiveWindow.addActuator(\\\"Drivetrain\\\", \\\"Speed Controller 3\\\", (Talon) drivetrainSpeedController3);\\r\\n \\r\\n drivetrainSpeedController4 = new Talon(3);\\r\\n LiveWindow.addActuator(\\\"Drivetrain\\\", \\\"Speed Controller 4\\\", (Talon) drivetrainSpeedController4);\\r\\n \\r\\n drivetrainRobotDrive41 = new RobotDrive(drivetrainSpeedController1, drivetrainSpeedController2,\\r\\n drivetrainSpeedController3, drivetrainSpeedController4);\\r\\n \\r\\n drivetrainRobotDrive41.setSafetyEnabled(true);\\r\\n drivetrainRobotDrive41.setExpiration(0.1);\\r\\n drivetrainRobotDrive41.setSensitivity(0.5);\\r\\n drivetrainRobotDrive41.setMaxOutput(1.0);\\r\\n drivetrainRobotDrive41.setInvertedMotor(RobotDrive.MotorType.kFrontLeft, true);\\r\\n drivetrainRobotDrive41.setInvertedMotor(RobotDrive.MotorType.kRearLeft, true); \\r\\n \\r\\n \\r\\n // pneumaticsGrabberSolenoid = new DoubleSolenoid(0, 0, 1); \\r\\n // LiveWindow.addActuator(\\\"Pneumatics\\\", \\\"GrabberSolenoid\\\", pneumaticsGrabberSolenoid);\\r\\n limitswitch = new DigitalOutput(3);\\r\\n \\r\\n locationGyro = new Gyro(0);\\r\\n LiveWindow.addSensor(\\\"Location\\\", \\\"Gyro\\\", locationGyro);\\r\\n locationGyro.setSensitivity(0.007);\\r\\n locationAccelerometer = new BuiltInAccelerometer();\\r\\n LiveWindow.addSensor(\\\"Location\\\", \\\"Accelerometer\\\", locationAccelerometer);\\r\\n //locationAccelerometer.setSensitivity(0.0);\\r\\n //locationAccelerometer.setZero(2.5);\\r\\n elevatorElevatorController = new Talon(4);\\r\\n LiveWindow.addActuator(\\\"Elevator\\\", \\\"Elevator Controller\\\", (Talon) elevatorElevatorController);\\r\\n ultra = new Ultrasonic(9, 10);\\r\\n ultra.setAutomaticMode(true);\\r\\n \\r\\n \\r\\n \\r\\n \\r\\n \\r\\n\\r\\n // END AUTOGENERATED CODE, SOURCE=ROBOTBUILDER ID=CONSTRUCTORS\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0dfd6c3bc2f3dd920f21d5e6eeb89085\",\n \"score\": \"0.5310278\",\n \"text\": \"public WorldCup() {\\n initComponents();\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992486,"cells":{"query_id":{"kind":"string","value":"f60da48947dc2f00ab030e1d7f2ceb8d"},"query":{"kind":"string","value":"Pass the settings flags by inserting them in a bundle"},"positive_passages":{"kind":"list like","value":[{"docid":"c737b65caf7b4e4582a7f514472b909e","score":"0.0","text":"public void onSync(MenuItem v){\n Bundle settingsBundle = new Bundle();\n settingsBundle.putBoolean(\n ContentResolver.SYNC_EXTRAS_MANUAL, true);\n settingsBundle.putBoolean(\n ContentResolver.SYNC_EXTRAS_EXPEDITED, true);\n /*\n * Request the sync for the default account, authority, and\n * manual sync settings\n */\n AccountManager am = AccountManager.get(this);\n\t\tAccount a = am.getAccountsByType(AccountGeneral.ACCOUNT_TYPE)[0];\n ContentResolver.requestSync(a, WhiteRockContract.AUTHORITY, settingsBundle);\n\t}","title":""}],"string":"[\n {\n \"docid\": \"c737b65caf7b4e4582a7f514472b909e\",\n \"score\": \"0.0\",\n \"text\": \"public void onSync(MenuItem v){\\n Bundle settingsBundle = new Bundle();\\n settingsBundle.putBoolean(\\n ContentResolver.SYNC_EXTRAS_MANUAL, true);\\n settingsBundle.putBoolean(\\n ContentResolver.SYNC_EXTRAS_EXPEDITED, true);\\n /*\\n * Request the sync for the default account, authority, and\\n * manual sync settings\\n */\\n AccountManager am = AccountManager.get(this);\\n\\t\\tAccount a = am.getAccountsByType(AccountGeneral.ACCOUNT_TYPE)[0];\\n ContentResolver.requestSync(a, WhiteRockContract.AUTHORITY, settingsBundle);\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"8c442ab20b1ca9a3390c609175b42e66","score":"0.5999389","text":"void setFlags(String flags);","title":""},{"docid":"92ed4fc8d3f24f0dc341f1e2a1e1bd16","score":"0.5913234","text":"private void customizeSettingValues(Context context, SharedPreferences sp) {\r\n //\t\t\tfinal int customizationLevel = sp.getInt(CUSTOMIZATION_LEVEL, 0);\r\n //\t\t\tif (customizationLevel < 1)\r\n //\t\t\t{\r\n //\t\t\t\tEditor e = sp.edit();\r\n //\t\t\t\t\r\n //\t\t\t\te.putBoolean(context.getString(R.string.settings_key_lang_key_shows_popup), true);\r\n //\t\t\t\te.putBoolean(context.getString(R.string.settings_key_show_version_notification), false);\r\n //\t\t\t\te.putBoolean(context.getString(R.string.settings_key_use_16_keys_symbols_keyboards), true);\r\n //\t\t\t\te.putBoolean(context.getString(R.string.settings_key_landscape_fullscreen), true);\r\n//\t\t\t\te.putBoolean(context.getString(R.string.settings_key_portrait_fullscreen), true);\r\n //\t\t\t\t//enabling 16keys, disabling english\r\n //\t\t\t\te.putBoolean(\"keyboard_12335055-4aa6-49dc-8456-c7d38a1a5123\", true);\r\n //\t\t\t\te.putBoolean(\"keyboard_c7535083-4fe6-49dc-81aa-c5438a1a343a\", false);\r\n //\t\t\t\t\r\n //\t\t\t\t//enabling external Hebrew\r\n //\t\t\t\te.putBoolean(\"keyboard_8958fb12-6558-4e96-9aa6-0e90101570b3\", true);\r\n //\t\t\t\t\r\n //\t\t\t\t//sound on\r\n //\t\t\t\te.putBoolean(context.getString(R.string.settings_key_sound_on), true);\r\n //\t\t\t\t//custom volume: mid\r\n //\t\t\t\te.putBoolean(\"use_custom_sound_volume\", true);\r\n //\t\t\t\te.putInt(\"custom_sound_volume\", 50);\r\n //\t\t\t\t//vibrate on (hard)\r\n //\t\t\t\te.putString(context.getString(R.string.settings_key_vibrate_on_key_press_duration), \"50\");\r\n //\t\t\t\t//no RTL fixes\r\n //\t\t\t\te.putString(\"rtl_workaround_detection\", \"no_workaround\");\r\n //\t\t\t\t//no backword\r\n //\t\t\t\te.putBoolean(context.getString(R.string.settings_key_use_backword), false);\r\n //\t\t\t\t\r\n //\t\t\t\t//saving customization level\r\n //\t\t\t\te.putInt(CUSTOMIZATION_LEVEL, 1);\r\n //\t\t\t\te.commit();\r\n //\t\t\t}\r\n \t\t}","title":""},{"docid":"5f44b2c0f34cdb8f040a590a34d5e37f","score":"0.5563762","text":"public void setFromSetting(boolean flag){\r\n editor = pref.edit();\r\n editor.putBoolean(\"isFromSetting\", flag);\r\n editor.commit();\r\n }","title":""},{"docid":"823d87359e9f9ec7235af1915bfe4938","score":"0.55167955","text":"public void setFlags(String flags) {\n this.flags = flags;\n }","title":""},{"docid":"4f646d5f10a7067911cc2c2fb9cc8223","score":"0.5504129","text":"private static Bundle getBarcodeSetting(final boolean enabled) {\n final Bundle extras = new Bundle();\n extras.putBoolean(Intents.EXTRA_START_SCAN, enabled);\n extras.putBoolean(Intents.EXTRA_SHOW_PREVIEW, enabled);\n extras.putBoolean(Intents.EXTRA_SHOW_MERCHANT_PREVIEW, enabled);\n extras.putBoolean(Intents.EXTRA_LED_ON, false);\n return extras;\n }","title":""},{"docid":"f843c818df556fbadeeed161e3015dcc","score":"0.54024565","text":"private CustomizationOptionsBundle() {\n }","title":""},{"docid":"6838032e13a74e4f5c610fe8c042085e","score":"0.5368242","text":"public void setBundled(Boolean bundled) {\r\n this.bundled = bundled;\r\n }","title":""},{"docid":"c44495f61abf229338393ce190a9ff1a","score":"0.5347852","text":"void settings();","title":""},{"docid":"fa533ce48ef71560ba4b3089e4b7035f","score":"0.53412986","text":"void mo1707a(Bundle bundle);","title":""},{"docid":"2039bc61285a82a800e8c784095069b9","score":"0.5327872","text":"@Override\r\n\tpublic void setArguments(Bundle args) {\n\t\tsuper.setArguments(args);\r\n\t}","title":""},{"docid":"b91bf0ac974784a5171b9be83a351908","score":"0.5303747","text":"public void setBundleContext(BundleContext bundleContext);","title":""},{"docid":"95fa2a2aac1a5acf9991d68818ea83cd","score":"0.52714974","text":"private void readArgumentsBundle(Bundle bundle)\n {\n if(bundle != null)\n {\n this.customMapMarker = bundle.getParcelable(AppConfiguration.BUNDLE_TAG_CUSTOM_MAP_MARKER);\n }\n }","title":""},{"docid":"a149a4a23510803fc570eba3782f93de","score":"0.5249058","text":"@Override\n public void onCreate(Bundle savedInstanceState) {\n super.onCreate(savedInstanceState);\n Bundle bundle = this.getArguments();\n if(bundle != null){\n list = bundle.getStringArrayList(\"content\");\n flag = bundle.getInt(\"flag\");\n }\n }","title":""},{"docid":"9d1c6f0d2f84fa853b92af675744d886","score":"0.52449024","text":"public void setFlags(int flags) {\n this.flags = flags;\n }","title":""},{"docid":"3705295546a43d70514006894fb108a6","score":"0.52427846","text":"protected void addExtraFlags(BlazeCommand.Builder commandBuilder) {}","title":""},{"docid":"f8dc0c4a3e1b15dd5258c1631c854c1c","score":"0.5223474","text":"@Override\n protected void onCreate(Bundle savedInstanceState) {\n super.onCreate(savedInstanceState);\n setContentView(R.layout.activity_flappy_setting);\n\n settingIntent = getIntent();\n gameStatus = settingIntent.getParcelableExtra(\"gamer\");\n setUpEasyBtn();\n setUpHardBtn();\n }","title":""},{"docid":"c7d80c96632ec2578a501e87c48b9dcc","score":"0.52173096","text":"public void loadSettings(){\r\n\r\n\t}","title":""},{"docid":"7702df7d839d1a7e9463eaa122612667","score":"0.5175953","text":"@Override\r\n protected void loadSettings()\r\n {\n\r\n }","title":""},{"docid":"e7c45b86dea51061ea8fe6f3afdede72","score":"0.51728415","text":"private void saveSettings()\n {\n settingsSave.putBoolean(\"UseBLE\", appUseBLE);\n settingsSave.putBoolean(\"UseBT21\", appUseBT21);\n settingsSave.putBoolean(\"IgnoreJ1939\", appIgnoreJ1939);\n settingsSave.putBoolean(\"IgnoreJ1708\", appIgnoreJ1708);\n settingsSave.putBoolean(\"IgnoreOBD2\", appIgnoreOBD2);\n settingsSave.putBoolean(\"PerformanceMode\", appPerformanceMode);\n settingsSave.putBoolean(\"DisconnectedReboot\", appDisconnectedReboot);\n settingsSave.putInt(\"DisconnectedRebootInterval\", appDisconnectedRebootInterval);\n settingsSave.putBoolean(\"SendAllPackets\", appSendAllPackets);\n settingsSave.putBoolean(\"SecureDevice\", appSecureDevice);\n settingsSave.putBoolean(\"SecureAdapter\", appSecureAdapter);\n settingsSave.putBoolean(\"ConnectToLastAdapter\", appConnectToLastAdapter);\n settingsSave.putString(\"DeviceId\", appDeviceId);\n settingsSave.putString(\"AdapterId\", appAdapterId);\n settingsSave.putString(\"UserName\", appUserName);\n settingsSave.putString(\"Password\", appPassword);\n settingsSave.putInt(\"LedBrightness\", appLedBrightness);\n settingsSave.putInt(\"MinInterval\", appMinInterval);\n settingsSave.putInt(\"DiscoveryTimeout\", appDiscoveryTimeout);\n settingsSave.putInt(\"MaxConnectAttempts\", appMaxConnectAttempts);\n settingsSave.putInt(\"MaxReconnectAttempts\", appMaxReconnectAttempts);\n settingsSave.putInt(\"BluetoothRecycleAttempt\", appBluetoothRecycleAttempt);\n settingsSave.putInt(\"BleDisconnectWaitTime\", appBleDisconnectWaitTime);\n settingsSave.putBoolean(\"OptimizeDataRetrieval\", appOptimizeDataRetrieval);\n\n settingsSave.putBoolean(\"ELDStarted\", appELDStarted);\n settingsSave.putBoolean(\"SecureELD\", appSecureELD);\n settingsSave.putBoolean(\"RecordIFTA\", appRecordIFTA);\n settingsSave.putBoolean(\"RecordStats\", appRecordStats);\n settingsSave.putBoolean(\"AlignELD\", appAlignELD);\n settingsSave.putBoolean(\"AlignIFTA\", appAlignIFTA);\n settingsSave.putBoolean(\"AlignStats\", appAlignStats);\n settingsSave.putBoolean(\"StreamingELD\", appStreamingELD);\n settingsSave.putInt(\"RecordingMode\", appRecordingMode);\n settingsSave.putString(\"DriverId\", appDriverId);\n settingsSave.putString(\"ELDAdapterId\", appELDAdapterId);\n settingsSave.putFloat(\"ELDInterval\", appELDInterval); // minutes;\n settingsSave.putFloat(\"IFTAInterval\", appIFTAInterval); // minutes;\n settingsSave.putFloat(\"StatsInterval\", appStatsInterval); // minutes;\n\n settingsSave.commit();\n }","title":""},{"docid":"2651ed28647fa9c51a1482bf37c2362a","score":"0.5112899","text":"public void onCreate(Bundle bundle) {\n super.onCreate(bundle);\n this.mPermissionName = getIntent().getStringExtra(\"com.android.settings.extra.REQUESTIING_PERMISSION\");\n this.mDebuggableOnly = getIntent().getBooleanExtra(\"com.android.settings.extra.DEBUGGABLE\", false);\n this.mNonSystemOnly = getIntent().getBooleanExtra(\"com.android.settings.extra.NON_SYSTEM\", false);\n this.mIncludeNothing = getIntent().getBooleanExtra(\"com.android.settings.extra.INCLUDE_NOTHING\", true);\n AppListAdapter appListAdapter = new AppListAdapter(this);\n this.mAdapter = appListAdapter;\n if (appListAdapter.getCount() <= 0) {\n setResult(-2);\n finish();\n return;\n }\n setListAdapter(this.mAdapter);\n }","title":""},{"docid":"ae1991023590be7f9dc9d7aaf6ee717b","score":"0.51072097","text":"@Override\n public void setBasicInfo(Bundle savedInstanceState) {\n\n }","title":""},{"docid":"96155a812c6eb1591191b8bf11f1367e","score":"0.510675","text":"public static void setInLinkedAppFlag(Context context, boolean flag){\r\n\t\t_debug = Log.getDebug();\r\n\t\tif (_debug) Log.v(\"Common.setInLinkedAppFlag() Flag: \" + flag);\r\n\t\tSharedPreferences.Editor editor = PreferenceManager.getDefaultSharedPreferences(context).edit();\r\n\t\teditor.putBoolean(Constants.USER_IN_LINKED_APP_KEY, flag);\r\n\t\teditor.commit();\r\n\t}","title":""},{"docid":"0a19b135dc9978ef90dafc008a55854e","score":"0.50902325","text":"public void start(BundleContext context) {\n\n }","title":""},{"docid":"1edc0dbeca21349325f565de3c309fdc","score":"0.5086813","text":"private void showSettings() {\n\t\t\n\t}","title":""},{"docid":"50f68523b4587fd23b2c76d3c848a2a2","score":"0.5072325","text":"public BundleOption() {\n }","title":""},{"docid":"236f4a9f97371c27a3f9aa492fb69fc7","score":"0.50586724","text":"private native void addFlagPropertyValue(long property, int flag);","title":""},{"docid":"37c1f309ba6c206cbcfb6a2d977bdd26","score":"0.5057068","text":"private void applySettingsMenuDialogCheckboxes() {\n depthSettings.setUseDepthForOcclusion(depthSettingsMenuDialogCheckboxes[0]);\n depthSettings.setDepthColorVisualizationEnabled(depthSettingsMenuDialogCheckboxes[1]);\n instantPlacementSettings.setInstantPlacementEnabled(\n instantPlacementSettingsMenuDialogCheckboxes[0]);\n configureSession();\n }","title":""},{"docid":"7ce4d76c326e27f10c78a1c771761573","score":"0.50556135","text":"public void doSettings ();","title":""},{"docid":"16a88b737f6411bc9f0a4d99770df129","score":"0.50525075","text":"public interface Bundles {\r\n\r\n /**\r\n * Holds a constant for a bundle key, which holds a value of a search radius.\r\n */\r\n public static final String SEARCH_RADIUS = \"search_radius_value\";\r\n\r\n /**\r\n * Holds a constant for a bundle key, which holds an object of a place type.\r\n */\r\n public static final String PLACE_TYPE = \"place_type_object\";\r\n\r\n /**\r\n * Holds a constant for a bundle key, which holds an array of marked places on the map.\r\n */\r\n public static final String MARKED_PLACES_LIST = \"marked_places_list\";\r\n\r\n }","title":""},{"docid":"8d4ece7d97c77e544c3dd6a0da52e55c","score":"0.50352144","text":"public boolean enabledIn(int flags);","title":""},{"docid":"dc7da9a32d316ff28627c7570369eb47","score":"0.5031243","text":"private void initAppSettings() {\n GameSettings localSettings = new GameSettings();\n initSettings(localSettings);\n settings = localSettings.toReadOnly();\n\n FXGL.setSettings(settings);\n }","title":""},{"docid":"894888c1688c59810b7f67985ff15b18","score":"0.50311697","text":"@Override\r\n protected void initSettings(GameSettings settings) {\r\n settings.setTitle(\"JavaFX performance test - \" + numberOfItems + \" items - \");\r\n settings.setProfilingEnabled(true);\r\n }","title":""},{"docid":"f1a3fd80b43f6c9ea77b5a1b12a1b205","score":"0.5029519","text":"public void setIsMenuAssets (boolean IsMenuAssets)\n{\nset_Value (\"IsMenuAssets\", new Boolean(IsMenuAssets));\n}","title":""},{"docid":"f19b0b115783bed82d66a4b9268834e3","score":"0.5020926","text":"public abstract void settings();","title":""},{"docid":"469f1efea85b8b4404eaa5e0c43aab10","score":"0.49963364","text":"void bundleTransmission(Bundle bundle);","title":""},{"docid":"b05f4809ca4a5cdbfd1c7bff1cfafde3","score":"0.49944764","text":"public void storeSettings(){\r\n\r\n\t}","title":""},{"docid":"d28b2722990f1078e8c906f0a64f6832","score":"0.49794373","text":"void setPreferences() ;","title":""},{"docid":"e4725c313511f7c37fda5185000e2641","score":"0.49640676","text":"private void initGeneralTab(){\r\n\r\n confirmExitCheckBox.setSelected(\r\n Boolean.valueOf(preferences.getProperty(\"confirmBeforeExit\")).booleanValue());\r\n overlayCheckBox.setSelected(\r\n Boolean.valueOf(preferences.getProperty(\"automaticallyOverlay\")).booleanValue());\r\n legendCheckBox.setSelected(\r\n Boolean.valueOf(preferences.getProperty(\"automaticallyShowLegend\")).booleanValue());\r\n openedDirCheckBox.setSelected(\r\n Boolean.valueOf(preferences.getProperty(\"useDirectoryLastOpenedFile\")).booleanValue());\r\n exportDirCheckBox.setSelected(\r\n Boolean.valueOf(preferences.getProperty(\"useDirectoryLastExportedFile\")).booleanValue());\r\n sidePanelCheckBox.setSelected(\r\n Boolean.valueOf(preferences.getProperty(\"showSidePanel\")).booleanValue());\r\n toolbarCheckBox.setSelected(\r\n Boolean.valueOf(preferences.getProperty(\"showToolBar\")).booleanValue());\r\n gridCheckBox.setSelected(\r\n Boolean.valueOf(preferences.getProperty(\"showGrid\")).booleanValue());\r\n coordinatesCheckBox.setSelected(\r\n Boolean.valueOf(preferences.getProperty(\"showCoordinates\")).booleanValue());\r\n scaleCheckBox.setSelected(\r\n Boolean.valueOf(preferences.getProperty(\"showScale\")).booleanValue());\r\n }","title":""},{"docid":"3535dbff07ef1228219d05caa4d34422","score":"0.49526414","text":"public ItemFactory setFlags(ItemFlag...flags) {\n ItemMeta itemMeta = this.itemStack.getItemMeta();\n itemMeta.addItemFlags(flags);\n this.itemStack.setItemMeta(itemMeta);\n return this;\n }","title":""},{"docid":"004816e6f68434f35a3a8503e467d987","score":"0.49038514","text":"private void saveSettings() {\n SkedsApplication app = (SkedsApplication) getApplication();\n app.setNotifySound(checkboxSound.isChecked());\n app.setNotifyVibrate(checkboxVibrate.isChecked());\n app.setSavePhotosLocally(checkboxSavePhotos.isChecked());\n app.setLineItemsMode(itemMode);\n }","title":""},{"docid":"11f7f38987a24cbace5d6dd7e7daed9f","score":"0.49028146","text":"@Override\n\tprotected void onCreate(Bundle savedInstanceState) {\n\t\toverridePendingTransition(R.anim.slideinright, R.anim.slideoutleft);\n\t\tsetTheme(R.style.perference_set_activity);\n\t\tsuper.onCreate(savedInstanceState);\n\t\taddPreferencesFromResource(R.xml.setting_preference);\n\t\t// lLanguageKey =\n\t\t// getResources().getString(R.string.setting_listpreference_choselanguage);\n\t\tcTranslateKey = getResources().getString(R.string.setting_checkboxpreference_translate);\n\t\tcAutoPlayKey = getResources().getString(R.string.setting_checkboxpreference_autoplay);\n\t\tcTTSKey = getResources().getString(R.string.setting_checkboxpreference_tts);\n\t\tcAutoJumpKey = getResources().getString(R.string.setting_checkboxpreference_autojump);\n\t\tcBackRunKey = getResources().getString(R.string.setting_checkboxpreference_run);\n\t\tcTranslatetalkKey = getResources().getString(R.string.setting_checkboxpreference_translatetalk);\n\t\tcBLClickRecordKey = getResources().getString(R.string.setting_checkboxpreference_longclickrecord);\n\t\t// eNikiNameKey =\n\t\t// getResources().getString(R.string.setting_edittextpreference_nikename);\n\t\t// lFrontSizeKey =\n\t\t// getResources().getString(R.string.setting_listpreference_fontsize);\n\t\t// lTTSSexKey =\n\t\t// getResources().getString(R.string.setting_listpreference_ttssex);\n\t\t// lTTSSpeedKey =\n\t\t// getResources().getString(R.string.setting_listpreference_ttsspeed);\n\n\t\t// eNikiName = (EditTextPreference) findPreference(eNikiNameKey);\n\t\t// lLanguage = (ListPreference) findPreference(lLanguageKey);\n\t\tcTranslate = (CheckBoxPreference) findPreference(cTranslateKey);\n\t\tcTranslatetalk = (CheckBoxPreference) findPreference(cTranslatetalkKey);\n\t\tcAutoPlay = (CheckBoxPreference) findPreference(cAutoPlayKey);\n\t\tcTTS = (CheckBoxPreference) findPreference(cTTSKey);\n\t\tcAutoJump = (CheckBoxPreference) findPreference(cAutoJumpKey);\n\t\tcBackRun = (CheckBoxPreference) findPreference(cBackRunKey);\n\t\tcBLClickRecord = (CheckBoxPreference) findPreference(cBLClickRecordKey);\n\t\t// lFrontSize = (ListPreference) findPreference(lFrontSizeKey);\n\t\t// lTTSSex = (ListPreference) findPreference(lTTSSexKey);\n\t\t// lTTSSpeed = (ListPreference) findPreference(lTTSSpeedKey);\n\n\t\t// eNikiName.setText(mUser.getUserName());\n\n\t\t// eNikiName.setOnPreferenceClickListener(this);\n\t\t// eNikiName.setOnPreferenceChangeListener(this);\n\t\t// lLanguage.setOnPreferenceClickListener(this);\n\t\t// lLanguage.setOnPreferenceChangeListener(this);\n\t\tcTranslate.setOnPreferenceClickListener(this);\n\t\tcTranslate.setOnPreferenceChangeListener(this);\n\t\tcTranslatetalk.setOnPreferenceClickListener(this);\n\t\tcTranslatetalk.setOnPreferenceChangeListener(this);\n\t\tcAutoPlay.setOnPreferenceClickListener(this);\n\t\tcAutoPlay.setOnPreferenceChangeListener(this);\n\t\tcTTS.setOnPreferenceClickListener(this);\n\t\tcTTS.setOnPreferenceChangeListener(this);\n\t\tcAutoJump.setOnPreferenceClickListener(this);\n\t\tcAutoJump.setOnPreferenceChangeListener(this);\n\t\tcBackRun.setOnPreferenceChangeListener(this);\n\t\tcBLClickRecord.setOnPreferenceChangeListener(this);\n\t\t// lFrontSize.setOnPreferenceChangeListener(this);\n\t\t// lFrontSize.setOnPreferenceClickListener(this);\n\t\t// lTTSSex.setOnPreferenceChangeListener(this);\n\t\t// lTTSSex.setOnPreferenceClickListener(this);\n\t\t// lTTSSpeed.setOnPreferenceChangeListener(this);\n\t\t// lTTSSpeed.setOnPreferenceClickListener(this);\n\n\t\tmMain = InterpretActivity.getInstance();\n\t\tprefs = PreferenceManager.getDefaultSharedPreferences(this);\n\n\t}","title":""},{"docid":"d1d025cf49e77b17274f4c98e7fa9e36","score":"0.48974544","text":"@Override\r\n protected void onCreate(Bundle savedInstanceState) {\n super.onCreate(savedInstanceState);\r\n addPreferencesFromResource(R.layout.menu_setting);\r\n \r\n saveUserLog(0);\r\n \r\n initValueOfDisplayImage = GeneralUtil.needDisplayImg(this);\r\n initValueOfRecommendAppNotificattion = GeneralUtil.needShowRecommendAppNotificattion(this);\r\n initValueOfVoiceNotificattion = GeneralUtil.needVoiceNotificattion(this);\r\n }","title":""},{"docid":"304756acec47b9f1169bb1b3adb0d936","score":"0.4890678","text":"protected void openBundle(Bundle bundle){\n //TODO - handle saved instance states from bundle\n //set saved instance state data\n }","title":""},{"docid":"3004e5290847570e73d2e4dfa1ddf452","score":"0.4880394","text":"BundleAdapterBuilder mask(int mask);","title":""},{"docid":"6aec7eb82c2dcd77521d62cd4cf060a9","score":"0.48766282","text":"public void setSettings(){\r\n\t\tsetMenu(3);\r\n\t\taddObject(new SettingsMenu((getGameWidth()/2) - (menuButtonsWidth/2), getGameHeight()/6, menuButtonsWidth, menuButtonsHeight, this, ObjectId.SettingsMenu));\r\n\t}","title":""},{"docid":"54f97594fe98679b2e3b1a165b6af88c","score":"0.4874454","text":"@Override\n\tpublic void onCreate(Bundle savedInstanceState) {\n\t\tsuper.onCreate(savedInstanceState);\n\t\tthis.optType = getArguments().getString(\"optype\");\n\t}","title":""},{"docid":"1146ed0f53c182d18d5968bd05d8bb8b","score":"0.48731595","text":"protected abstract void createSettingsComponents();","title":""},{"docid":"1c8a23b652942a2c133a1d7dd48b4fd6","score":"0.4864835","text":"private static void setPlatformResources(ResourceBundle bundle) {\n platformResources = bundle;\n }","title":""},{"docid":"84066a0fc7cc0c61435c8c0617ac5bda","score":"0.48473346","text":"private void Configuration() {\n\t\tIntent intent = new Intent(this, UserPref.class);\n\t\tstartActivity(intent);\n\t}","title":""},{"docid":"ddacdbcfe64cdb4b7d3b573c4cc30041","score":"0.48466542","text":"@Override\r\n public void onCreate(Bundle savedInstanceState ) {\r\n \r\n \tsuper.onCreate(savedInstanceState);\r\n\t\tsetContentView(R.layout.settings);\r\n\t\t\r\n\t\t\r\n }","title":""},{"docid":"c3e982b97e59cbda4eb67292bca24ea5","score":"0.48430336","text":"@Override\n public void onClick(View v) {\n int settings = createSettings();\n //Log.i(\"Setting num: \", Integer.toString(settings));\n Intent applyIntent = new Intent(getApplicationContext(), MainActivity.class);\n applyIntent.putExtra(\"applyIntent\", settings);\n startActivity(applyIntent);\n }","title":""},{"docid":"570fd3a7a2eded3119b68db715469207","score":"0.48404965","text":"@Override\n public void onCreatePreferences(Bundle bundle, String s) {\n addPreferencesFromResource(R.xml.pref_visualizer);\n\n SharedPreferences sharedPreferences = getPreferenceScreen().getSharedPreferences();\n PreferenceScreen prefScreen = getPreferenceScreen();\n int count = prefScreen.getPreferenceCount();\n\n // Go through all of the preferences, and set up their preference summary.\n for (int i = 0; i < count; i++) {\n androidx.preference.Preference p = prefScreen.getPreference(i);\n // You don't need to set up preference summaries for checkbox preferences because\n // they are already set up in pref_visualizer using summaryOff and summary On\n String value = sharedPreferences.getString(p.getKey(), \"\");\n setPreferenceSummary(p, value);\n }\n\n // COMPLETED (3) Add the OnPreferenceChangeListener specifically to the EditTextPreference\n // Add the preference listener which checks that the size is correct to the size preference\n androidx.preference.Preference preference = findPreference(getString(R.string.pref_size_key));\n preference.setOnPreferenceChangeListener((androidx.preference.Preference.OnPreferenceChangeListener) this);\n }","title":""},{"docid":"67d2510ea33402a140d56f714a59b3e6","score":"0.4826875","text":"public static void setInQuickReplyAppFlag(Context context, boolean flag){\r\n\t\t_debug = Log.getDebug();\r\n\t\tif (_debug) Log.v(\"Common.setInQuickReplyAppFlag() Flag: \" + flag);\r\n\t\tSharedPreferences.Editor editor = PreferenceManager.getDefaultSharedPreferences(context).edit();\r\n\t\teditor.putBoolean(Constants.USER_IN_QUICK_REPLY_APP_KEY, flag);\r\n\t\teditor.commit();\r\n\t}","title":""},{"docid":"d8423cc8ed53b47c218d14348b93743d","score":"0.48172462","text":"private void getIntentBundle() {\n Intent intent = getIntent();\n Bundle args;\n args = intent.getBundleExtra(\"bundleSS\");\n oldTitreStr=args.getString(\"oldTitre\");\n oldGroupeStr=args.getString(\"oldGroupe\");\n oldDurationInt=args.getInt(\"oldDuration\");\n idSS=args.getString(\"idSS\");\n Log.d(TAG, \"MSSD getIntentBundle: \"+oldTitreStr+\" \"+oldGroupeStr+\" \"+oldDuration+\" \"+idSS);\n }","title":""},{"docid":"f9bebace74631795a1296e6aa1899dff","score":"0.4810571","text":"@Override\n\tprotected void onCreate(Bundle savedInstanceState) {\n\t\tsuper.onCreate(savedInstanceState);\n\t\tsetContentView(R.layout.settings);\n\t\t\n\t\tcreateAllObjects();\n\t\t\n\t\tcheckNotificationActivity.setOnClickListener(new View.OnClickListener() {\n\t\t\t\n\t\t\t@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\t// TODO Auto-generated method stub\n\t\t\t\tdisplayNotificationActivity.setText(\"Ειδοποίηση(Ανενεργή)\");\n\t\t\t}\n\t\t});\n\t}","title":""},{"docid":"dcdbbea6a8c5d740a5aa46784e4090cc","score":"0.4794666","text":"public void setServiceFactory(boolean bool);","title":""},{"docid":"365ebe1549e8b493e37ba825f9386a59","score":"0.47912192","text":"BundleAdapterBuilder add(InstanceCbBundleComponent add);","title":""},{"docid":"9adce9dccb167cad117dbbe7d47677aa","score":"0.4790756","text":"@Override\n\tprotected void onCreate(Bundle savedInstanceState) {\n\t\tsuper.onCreate(savedInstanceState);\n\t\ttools = new Tools(AccountSettingsActivity.this, Constants.AC);\n\t\toptionsSquare = new DisplayImageOptions.Builder()\n\t\t\t\t.showImageOnLoading(R.drawable.men_defult)\n\t\t\t\t.showImageForEmptyUri(R.drawable.men_defult)\n\t\t\t\t.showImageOnFail(R.drawable.men_defult)\n\t\t\t\t.resetViewBeforeLoading(true).cacheOnDisk(true)\n\t\t\t\t.considerExifParams(true).cacheInMemory(true)\n\t\t\t\t.imageScaleType(ImageScaleType.EXACTLY)\n\t\t\t\t.bitmapConfig(Bitmap.Config.RGB_565)\n\t\t\t\t.displayer(new FadeInBitmapDisplayer(300)).build();\n\t\toptionsSquare2 = new DisplayImageOptions.Builder()\n\t\t.showImageOnLoading(R.drawable.women_defult)\n\t\t.showImageForEmptyUri(R.drawable.women_defult)\n\t\t.showImageOnFail(R.drawable.women_defult)\n\t\t.resetViewBeforeLoading(true).cacheOnDisk(true)\n\t\t.considerExifParams(true).cacheInMemory(true)\n\t\t.imageScaleType(ImageScaleType.EXACTLY)\n\t\t.bitmapConfig(Bitmap.Config.RGB_565)\n\t\t.displayer(new FadeInBitmapDisplayer(300)).build();\n\t\t\n\t\tsetContentView(R.layout.account_settings_activity);\n\t\tplistId = tools.getValue(Constants.PJOB);\n\t\taId = tools.getValue(Constants.AJOB);\n\t\thId = tools.getValue(Constants.HOSPITAL_JOB);\n\t\tgetSexList();\n\t\tinitMyHandler();\n\t\tinitView();\n\t}","title":""},{"docid":"3133232e47df1d300d3aceea74561573","score":"0.47900313","text":"BundleAdapterBuilder propagate();","title":""},{"docid":"7a04a616b636e4546e1851c02037e42b","score":"0.47893298","text":"public void addActivatedFlag( String flag ) {\n\n allFlagsVars.add( flag );\n actionsValues.add( ACTIVATE );\n\n }","title":""},{"docid":"8e2535b4af42c9bfbc80918229a5181d","score":"0.4787327","text":"public static void initPrefs(){\n prefs = Gdx.app.getPreferences(\"com.java4game.blockmover\");\n }","title":""},{"docid":"ec83039012d41b29a83e627ab5bfd347","score":"0.47873008","text":"public interface InitBundle {\n String ARTICLE_ID = \"article_id\";\n }","title":""},{"docid":"069acf580db8c98c06d838b24a37adae","score":"0.47828543","text":"public static LaunchPoint createSettingsList() {\n Intent mainIntent = new Intent();\n // mainIntent.addCategory(\"android.intent.category.LEANBACK_SETTINGS\");\n LaunchPoint settingsItems = null;\n PackageManager pkgMan = CommonValues.application.getPackageManager();\n List<ResolveInfo> rawLaunchPoints = pkgMan.queryIntentActivities(mainIntent, 129);\n HashMap<ComponentName, Integer> specialEntries = new HashMap();\n for (int i = 0; i < sSpecialSettingsActions.length; i++) {\n specialEntries.put(getComponentNameForSettingsActivity(sSpecialSettingsActions[i]), Integer.valueOf(i));\n }\n int size = rawLaunchPoints.size();\n for (int ptr = 0; ptr < size; ptr++) {\n ResolveInfo info = (ResolveInfo) rawLaunchPoints.get(ptr);\n boolean system = (info.activityInfo.applicationInfo.flags & 1) != 0;\n ComponentName comp = getComponentName(info);\n int type = -1;\n if (specialEntries.containsKey(comp)) {\n type = ((Integer) specialEntries.get(comp)).intValue();\n }\n if (info.activityInfo != null && system) {\n if (info.activityInfo.packageName.equals(\"com.android.tv.settings\") && info.activityInfo.name.equals(\"com.android.tv.settings.device.display.DisplayActivity\")) {\n LaunchPoint lp = new LaunchPoint(CommonValues.application, pkgMan, info, false, type);\n lp.addLaunchIntentFlags(32768);\n settingsItems = lp;\n }\n }\n }\n return settingsItems;\n }","title":""},{"docid":"7d23d0891de5b3ac8b221d866f33569b","score":"0.4778502","text":"@Override\n\tprotected void onCreate(Bundle savedInstanceState) {\n\t\tsuper.onCreate(savedInstanceState);\n\t\tsetContentView(R.layout.activity_setting);\n\t\t\n\t\t//id = getIntent().getIntExtra(\"id\", 0);\n\t\t\n\t\tinit();\n\t}","title":""},{"docid":"5aa14ab678d43a54483af5530d18dd29","score":"0.47776556","text":"@Override\n\tprotected void onCreate(Bundle savedInstanceState) {\n\t\tsuper.onCreate(savedInstanceState);\n\t\trequestWindowFeature(Window.FEATURE_NO_TITLE);\n\t\tgetWindow().setFlags(WindowManager.LayoutParams.FLAG_FULLSCREEN,\n\t\t\t\tWindowManager.LayoutParams.FLAG_FULLSCREEN);\n\t\tsetContentView(R.layout.settings);\n\t\tmGo = (Button) findViewById(R.id.go_btn);\n\t\tmRestart = (Button) findViewById(R.id.restart_game);\n\t\tmHistory = (Button) findViewById(R.id.historys);\n\t\tmSoundEffect = (Button) findViewById(R.id.sound_effects);\n\t\tmSave = (Button) findViewById(R.id.settings_save);\n\t\tmLoad = (Button) findViewById(R.id.settings_load);\n\t\tmGetApps = (Button) findViewById(R.id.install_apps);\n\t\tmGetGames = (Button) findViewById(R.id.install_games);\n\t\t\n\t\tmGo.setOnClickListener(this);\n\t\tmRestart.setOnClickListener(this);\n\t\tmHistory.setOnClickListener(this);\n\t\tmSoundEffect.setOnClickListener(this);\n\t\tmSave.setOnClickListener(this);\n\t\tmLoad.setOnClickListener(this);\n\t\tmGetApps.setOnClickListener(this);\n\t\tmGetGames.setOnClickListener(this);\n\t\t\n\t\tif (!showAds()) {\n\t\t\tmGetApps.setVisibility(View.GONE);\n\t\t\tmGetGames.setVisibility(View.GONE);\n\t\t}\n\t\t\n\t\tmGameManager = GameManager.getInstance(this);\n\t\tsetSoundText(mGameManager.isSoundOn());\n\t\t\n\t\tmCommand = RESULT_COMMAND_UNKNOWN;\n\t\tmResult = new Bundle();\n\t}","title":""},{"docid":"9930e0df55accb7a247ff4a6995d8f23","score":"0.47763276","text":"public\n void setEnabled(Map mapEnabledFlags)\n {\n if(mapEnabledFlags == null) {\n return;\n }\n \n Iterator oItEntry = mapEnabledFlags.entrySet().iterator();\n while(oItEntry.hasNext()) {\n Map.Entry entry = (Map.Entry) oItEntry.next();\n String sMenuItem = (String) entry.getKey();\n boolean boEnabled = false;\n Object oEnabled = entry.getValue();\n if(oEnabled instanceof String) {\n String s = (String) oEnabled;\n boEnabled = !s.startsWith(\"0\") && !s.startsWith(\"N\");\n }\n else\n if(oEnabled instanceof Integer) {\n boEnabled = ((Integer) oEnabled).intValue() != 0;\n }\n else\n if(oEnabled instanceof Boolean) {\n boEnabled = ((Boolean) oEnabled).booleanValue();\n }\n \n Map mapMenuItemInfo = (Map) mapItems.get(sMenuItem);\n if(mapMenuItemInfo == null) {\n continue;\n }\n setMenuItemEnabled(mapMenuItemInfo, boEnabled);\n }\n \n for(int i = 0; i < listMenu.size(); i++) {\n Map mapMenuInfo = (Map) listMenu.get(i);\n if(isAllMenuItemsDisabled(mapMenuInfo)) {\n setMenuEnabled(mapMenuInfo, false);\n }\n else {\n setMenuEnabled(mapMenuInfo, true);\n }\n }\n }","title":""},{"docid":"c0ac8c908798642fcb2553e95fb9e65a","score":"0.4771129","text":"private void doStartSettings() {\n \t\tsetGroesse(false);\n\t\tchangeFPS(settings.getFPS());\n\t\tsound.setMusicAndSound();\n\t\tswitchColor(settings.isColorOn());\n\t\tBlood.setBloodOn(settings.isBloodOn());\n\t}","title":""},{"docid":"f03a9291f3ef7dbcf9d53ef4f838e0a0","score":"0.4768644","text":"void configureAllLabels(BundleContext context);","title":""},{"docid":"e26389374cc388ef2f99f31d942e5bfb","score":"0.47653857","text":"private void _chooseIntoolsSettings()\n {\n int settingType;\n \n for (TagSetting setting : intoolsSettings)\n {\n settingType = setting.getTypeId();\n \n if (settingType == SettingsTypes.ALARM_LL_SETTING.ID) chosenIntoolsAlarmLL = setting;\n if (settingType == SettingsTypes.ALARM_L_SETTING.ID) chosenIntoolsAlarmL = setting;\n if (settingType == SettingsTypes.ALARM_H_SETTING.ID) chosenIntoolsAlarmH = setting;\n if (settingType == SettingsTypes.ALARM_HH_SETTING.ID) chosenIntoolsAlarmHH = setting;\n }// for\n }","title":""},{"docid":"d55a537a1c70e31e8aa4945ed0dd7ba3","score":"0.47536135","text":"public abstract void mo424b(Bundle bundle);","title":""},{"docid":"4f0aef2800e09fd290d190663b5d300e","score":"0.4751196","text":"public T setFlags(final LexicalContext lc, int flags);","title":""},{"docid":"f1ec2ae4cd3bf683a71b4d9036fb4305","score":"0.47509193","text":"public void updateProSettings() {\n\t\tif (proFeaturesEnabled())\n\t\t\treturn;\n\t\tSharedPreferences.Editor editor = PrefUtils.prefs(mContext).edit();\n\t\teditor.remove(mContext.getString(R.string.pref_key_background));\n\t\teditor.remove(mContext.getString(R.string.pref_key_pattern_color));\n\t\teditor.remove(mContext.getString(R.string.pref_key_delay_status));\n\t\teditor.remove(mContext.getString(R.string.pref_key_dial_launch));\n\t\teditor.remove(mContext.getString(R.string.pref_key_hide_launcher_icon));\n\t\teditor.remove(mContext.getString(R.string.pref_key_show_notification));\n\t\teditor.remove(mContext.getString(R.string.pref_key_anim_hide_type));\n\t\teditor.remove(mContext.getString(R.string.pref_key_anim_hide_millis));\n\t\teditor.remove(mContext.getString(R.string.pref_key_anim_show_type));\n\t\teditor.remove(mContext.getString(R.string.pref_key_anim_show_millis));\n\t\teditor.remove(mContext\n\t\t\t\t.getString(R.string.pref_key_hide_notification_icon));\n\t\tPrefUtils.apply(editor);\n\t\tAppLockService.restart(mContext);\n\t\tPrefUtils.setHideApplication(mContext, false);\n\t}","title":""},{"docid":"a2ac3c467b3614b1fd68d3217d0f1779","score":"0.4742955","text":"BundleAdapterBuilder add(InstanceCbBundle add);","title":""},{"docid":"efc90f6881fa0bb682adb7430ded33e7","score":"0.4742728","text":"@Inject\n\tpublic void setSettings(Settings settings) {\n\t\tthis.settings = settings;\n\t}","title":""},{"docid":"c382eddacc397868c0694b0763d12597","score":"0.4738134","text":"protected Bundle packPreferences() {\n\t\tBundle basket = new Bundle();\n\t\tlong id_utente = getPrefs.getLong(\"id_utente\", -1);\n\t\tbasket.putLong(\"id_utente\", id_utente);\n\t\tbasket.putString(\"hash\", _hash);\n\n\t\t// DATABASE\n\t\tbasket.putString(\"databaseList\", getPrefs.getString(\"databaseList\", \"\"));\n\n\t\t// PostgreSQL\n\t\tbasket.putString(\"ipPostgreSQL\", getPrefs.getString(\"ipPostgreSQL\", \"\"));\n\t\tbasket.putString(\"userNamePostgreSQL\",\n\t\t\t\tgetPrefs.getString(\"userNamePostgreSQL\", \"\"));\n\t\tbasket.putString(\"userPasswdPostgreSQL\",\n\t\t\t\tgetPrefs.getString(\"userPasswdPostgreSQL\", \"\"));\n\t\tbasket.putString(\"portPostgreSQL\",\n\t\t\t\tgetPrefs.getString(\"portPostgreSQL\", \"\"));\n\t\tbasket.putString(\"schemaPostgreSQL\",\n\t\t\t\tgetPrefs.getString(\"schemaPostgreSQL\", \"\"));\n\n\t\t// MySQL\n\t\tbasket.putString(\"ipMySQL\", getPrefs.getString(\"ipMySQL\", \"\"));\n\t\tbasket.putString(\"userNameMySQL\",\n\t\t\t\tgetPrefs.getString(\"userNameMySQL\", \"\"));\n\t\tbasket.putString(\"userPasswdMySQL\",\n\t\t\t\tgetPrefs.getString(\"userPasswdMySQL\", \"\"));\n\t\tbasket.putString(\"portMySQL\", getPrefs.getString(\"portMySQL\", \"\"));\n\t\tbasket.putString(\"schemaMySQL\", getPrefs.getString(\"schemaMySQL\", \"\"));\n\n\t\t// PhpMySqlAndroid - SERVER SIDE SCRIPTINGs\n\t\tbasket.putString(\"phpencoder\", getPrefs.getString(\"phpencoder\", \"\"));\n\t\tbasket.putString(\"retrieveTableData\",\n\t\t\t\tgetPrefs.getString(\"retrieveTableData\", \"\"));\n\t\tbasket.putString(\"GraphViewInterface\",\n\t\t\t\tgetPrefs.getString(\"GraphViewInterface\", \"\"));\n\t\tbasket.putString(\"LogEventsRegisterInterface\",\n\t\t\t\tgetPrefs.getString(\"LogEventsRegisterInterface\", \"\"));\n\t\tbasket.putString(\"schemaMySQL\", getPrefs.getString(\"schemaMySQL\", \"\"));\n\n\t\treturn basket;\n\t}","title":""},{"docid":"17cac96b777d30eb4b5b75cfc77f9295","score":"0.47358713","text":"@Override\n protected void onCreate (Bundle savedInstanceState)\n {\n super.onCreate (savedInstanceState);\n setContentView(R.layout.activity_settings);\n\n //Initialize text fields\n titleText = (TextView) findViewById (R.id.SettingsPageTitleText);\n\n Typeface laneUpperFont = Typeface.createFromAsset (getAssets (), \"fonts/laneWUnderLine.ttf\");\n Typeface laneNarrowFont = Typeface.createFromAsset (getAssets (), \"fonts/LANENAR.ttf\");\n titleText.setTypeface(laneUpperFont);\n\n //Create and initialize buttons\n buttons = new ArrayList<Button>(BUTTON_IDS.length);\n\n for (int id: BUTTON_IDS)\n {\n Button button = (Button) findViewById(id);\n button.setOnClickListener(this);\n button.getBackground().setAlpha(ALPHA_SETTING);\n button.setTypeface(laneNarrowFont, Typeface.BOLD);\n buttons.add(button);\n }\n\n //Create and initialize switches and load saved preferences\n switches = new ArrayList<Switch>(SWITCH_IDS.length);\n\n int count = 0;\n for (int id: SWITCH_IDS)\n {\n Switch theSwitch = (Switch) findViewById(id);\n theSwitch.setOnClickListener(this);\n switches.add(theSwitch);\n loadSavedPreferences(SWITCH_PREF_KEYS[count], count, ContinueActivity.buttons.get (count));\n count++;\n }\n }","title":""},{"docid":"4726d61eade584ba1ab5a5486bcc6558","score":"0.4735256","text":"private static void setOptions(String[] args) {\n for (String arg : args) {\n switch (arg) {\n case \"-a\":\n case \"--advanced\":\n optionManager.setAdvancedMode(true);\n break;\n default:\n // I need this because checkstyle complains\n break;\n }\n }\n }","title":""},{"docid":"18bbc8f10013e81286676480baba5482","score":"0.47341436","text":"public void activateOptions()\n {\n }","title":""},{"docid":"9007babe3faf9bee27cf504dcc911d86","score":"0.47306007","text":"private void loadPreferences() {\n\t\t\n\t\tprefs = Gdx.app.getPreferences(Constantes.APP);\n\t\t\n\t\tif (!prefs.contains(\"sound\"))\n\t\t\tprefs.putBoolean(\"sound\", true);\n\t}","title":""},{"docid":"3fcc7962bbb0754858633d3cd62973d5","score":"0.47296515","text":"public Builder setExtras(Bundle extras) {\n/* 2501 */ throw new RuntimeException(\"Stub!\");\n/* */ }","title":""},{"docid":"26be1478077aad5f2d61ea3392825d81","score":"0.4721422","text":"public void putConfig() {\n SharedPreferences prefs = PreferenceManager.getDefaultSharedPreferences(MainActivity.appcontext); \r\n Editor e = prefs.edit();\r\n\t\te.putString(\"ServerTaxi\", dic.getServerTaxi());\r\n\t\te.putString(\"ServerTaxiPortGPS\", dic.getServerTaxiPortGPS()+\"\");\r\n\t\te.putString(\"ServerTaxiPortCMD\", dic.getServerTaxiPortCMD()+\"\");\r\n\t\te.putString(\"DefaultIMEI\", dic.getDefaultIMEI());\r\n\t\te.putBoolean(\"InternalIMEI\", dic.getInternalIMEI());\r\n\t\te.putString(\"orderfreshper\", dic.getOrderFreshPer()+\"\");\r\n\t\te.putString(\"gpsperfresh\", dic.getGpsPerFresh()+\"\");\r\n\t\te.putString(\"gpsidlefresh\", dic.getGpsIdleFresh()+\"\");\r\n\t\te.putString(\"OrderBySave\", dic.getOrderBySave()+\"\");\r\n\t\te.putBoolean(\"AutoAnsIPATS\", dic.getAutoAnsIPATS());\r\n\t\te.putBoolean(\"AutoGotoOrders\", dic.getAutoGotoOrders());\r\n\t\te.putString(\"ServerIPATSIP\", dic.getServerIPATSIP());\r\n\t\te.putString(\"ServerIPATSPort\", dic.getServerIPATSPort()+\"\");\r\n\t\te.putString(\"ServerIPATSLogin\", dic.getServerIPATSLogin());\r\n\t\te.putString(\"ServerIPATSPassword\", dic.getServerIPATSPassword());\r\n\t\te.putString(\"ServerIPATSname1\", dic.getServerIPATSname1());\r\n\t\te.putString(\"ServerIPATSnumber1\", dic.getServerIPATSnumber1());\r\n\t\te.putString(\"ServerIPATSname2\", dic.getServerIPATSname2());\r\n\t\te.putString(\"ServerIPATSnumber2\", dic.getServerIPATSnumber2());\r\n\t\te.putString(\"ServerIPATSname3\", dic.getServerIPATSname3());\r\n\t\te.putString(\"ServerIPATSnumber3\", dic.getServerIPATSnumber3());\r\n\t\te.putString(\"ServerIPATSname4\", dic.getServerIPATSname4());\r\n\t\te.putString(\"ServerIPATSnumber4\", dic.getServerIPATSnumber4());\r\n\t\te.putString(\"ServerIPATSname5\", dic.getServerIPATSname5());\r\n\t\te.putString(\"ServerIPATSnumber5\", dic.getServerIPATSnumber5());\r\n\t\te.putString(\"ServerIPATSname6\", dic.getServerIPATSname6());\r\n\t\te.putString(\"ServerIPATSnumber6\", dic.getServerIPATSnumber6());\r\n\t\te.putString(\"RingFile\", dic.getRingFile());\r\n\t\te.putString(\"OpenStreetMapsUpdate\", dic.getOpenStreetMapsUpdate());\r\n\t\te.commit();\r\n\t}","title":""},{"docid":"f72958f8c53d2aac81373dc7557a7dfa","score":"0.471962","text":"public void m20246i() {\n String[] strArr = {getString(R.string.pstyle_color_filter_off), getString(R.string.pstyle_color_filter_yellow), getString(R.string.pstyle_color_filter_orange), getString(R.string.pstyle_color_filter_red), getString(R.string.pstyle_color_filter_green)};\n String o = this.f16817l.mo12439o();\n if (o != null) {\n if (o.equalsIgnoreCase(\"off\")) {\n this.f16812F = 0;\n } else if (o.equalsIgnoreCase(\"yellow\")) {\n this.f16812F = 1;\n } else if (o.equalsIgnoreCase(\"orange\")) {\n this.f16812F = 2;\n } else if (o.equalsIgnoreCase(\"red\")) {\n this.f16812F = 3;\n } else if (o.equalsIgnoreCase(\"green\")) {\n this.f16812F = 4;\n }\n }\n Bundle bundle = new Bundle();\n bundle.putStringArray(C2378b.SINGLE_CHOICE_LIST.name(), strArr);\n bundle.putInt(C2378b.SINGLE_CHOICE_CHECKED_ITEM.name(), this.f16812F);\n C2331d.m10114a((Activity) this, C2328a.ON_SELECT_PHOTOSTYLE_COLOR, bundle);\n }","title":""},{"docid":"b4e2936f3321b0691252075eee0f9c14","score":"0.47183266","text":"private void settings() {\n\t\tIntent myIntent = new Intent(MainActivity.this, SettingsActivity.class);\n\t\tMainActivity.this\n\t\t\t\t.startActivityForResult(myIntent, SETTINGS_REQUESTCODE);\n\t}","title":""},{"docid":"8f1a56d5a782dad2e4a8be499981b83a","score":"0.4713049","text":"public void Bind() {\n context.findViewById(R.id.settings_general_drawer_items)\n .setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View v) {\n new DrawerItemsDialog(new MaterialDialog.Builder(context)).show();\n }\n });\n\n {\n SwitchCompat single = context.findViewById(R.id.settings_general_immersivemode);\n\n if (single != null) {\n single.setChecked(SettingValues.immersiveMode);\n single.setOnCheckedChangeListener(new CompoundButton.OnCheckedChangeListener() {\n @Override\n public void onCheckedChanged(CompoundButton buttonView, boolean isChecked) {\n SettingsThemeFragment.changed = true;\n SettingValues.immersiveMode = isChecked;\n SettingValues.prefs.edit()\n .putBoolean(SettingValues.PREF_IMMERSIVE_MODE, isChecked)\n .apply();\n }\n });\n }\n }\n\n {\n SwitchCompat single = context.findViewById(R.id.settings_general_forcelanguage);\n\n if (single != null) {\n single.setChecked(SettingValues.overrideLanguage);\n single.setOnCheckedChangeListener(new CompoundButton.OnCheckedChangeListener() {\n @Override\n public void onCheckedChanged(CompoundButton buttonView, boolean isChecked) {\n SettingsThemeFragment.changed = true;\n SettingValues.overrideLanguage = isChecked;\n SettingValues.prefs.edit()\n .putBoolean(SettingValues.PREF_OVERRIDE_LANGUAGE, isChecked)\n .apply();\n }\n });\n }\n }\n\n {\n SwitchCompat single = context.findViewById(R.id.settings_general_subfolder);\n\n if (single != null) {\n single.setChecked(SettingValues.imageSubfolders);\n single.setOnCheckedChangeListener(new CompoundButton.OnCheckedChangeListener() {\n @Override\n public void onCheckedChanged(CompoundButton buttonView, boolean isChecked) {\n SettingValues.imageSubfolders = isChecked;\n SettingValues.prefs.edit()\n .putBoolean(SettingValues.PREF_IMAGE_SUBFOLDERS, isChecked)\n .apply();\n }\n });\n }\n }\n\n {\n if (context.findViewById(R.id.settings_general_download) != null) {\n context.findViewById(R.id.settings_general_download).setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View v) {\n new FolderChooserDialogCreate.Builder(SettingsGeneralFragment.this.context).chooseButton(\n R.string.btn_select) // changes label of the choose button\n .initialPath(Environment.getExternalStorageDirectory()\n .getPath()) // changes initial path, defaults to external storage directory\n .show();\n }\n });\n }\n }\n\n if (context.findViewById(R.id.settings_general_location) != null) {\n String loc = Reddit.appRestart.getString(\"imagelocation\",\n context.getString(R.string.settings_image_location_unset));\n ((TextView) context.findViewById(R.id.settings_general_location)).setText(loc);\n }\n\n {\n SwitchCompat single = context.findViewById(R.id.settings_general_expandedmenu);\n\n if (single != null) {\n single.setChecked(SettingValues.expandedToolbar);\n single.setOnCheckedChangeListener(new CompoundButton.OnCheckedChangeListener() {\n @Override\n public void onCheckedChanged(CompoundButton buttonView, boolean isChecked) {\n SettingValues.expandedToolbar = isChecked;\n SettingValues.prefs.edit()\n .putBoolean(SettingValues.PREF_EXPANDED_TOOLBAR, isChecked)\n .apply();\n }\n });\n }\n }\n\n if (context.findViewById(R.id.settings_general_viewtype) != null) {\n context.findViewById(R.id.settings_general_viewtype).setOnClickListener(new OnSingleClickListener() {\n @Override\n public void onSingleClick(View v) {\n Intent i = new Intent(context, SettingsViewType.class);\n context.startActivity(i);\n }\n });\n }\n\n //FAB multi choice//\n if (context.findViewById(R.id.settings_general_fab_current) != null && context.findViewById(R.id.settings_general_fab) != null) {\n ((TextView) context.findViewById(R.id.settings_general_fab_current)).setText(\n SettingValues.fab ? (SettingValues.fabType == Constants.FAB_DISMISS ? context.getString(\n R.string.fab_hide) : context.getString(R.string.fab_create))\n : context.getString(R.string.fab_disabled));\n\n context.findViewById(R.id.settings_general_fab).setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View v) {\n PopupMenu popup = new PopupMenu(context, v);\n popup.getMenuInflater().inflate(R.menu.fab_settings, popup.getMenu());\n\n popup.setOnMenuItemClickListener(new PopupMenu.OnMenuItemClickListener() {\n public boolean onMenuItemClick(MenuItem item) {\n switch (item.getItemId()) {\n case R.id.disabled:\n SettingValues.fab = false;\n SettingValues.prefs.edit()\n .putBoolean(SettingValues.PREF_FAB, false)\n .apply();\n break;\n case R.id.hide:\n SettingValues.fab = true;\n SettingValues.fabType = Constants.FAB_DISMISS;\n SettingValues.prefs.edit()\n .putInt(SettingValues.PREF_FAB_TYPE, Constants.FAB_DISMISS)\n .apply();\n SettingValues.prefs.edit()\n .putBoolean(SettingValues.PREF_FAB, true)\n .apply();\n break;\n case R.id.create:\n SettingValues.fab = true;\n SettingValues.fabType = Constants.FAB_POST;\n SettingValues.prefs.edit()\n .putInt(SettingValues.PREF_FAB_TYPE, Constants.FAB_POST)\n .apply();\n SettingValues.prefs.edit()\n .putBoolean(SettingValues.PREF_FAB, true)\n .apply();\n break;\n case R.id.search:\n SettingValues.fab = true;\n SettingValues.fabType = Constants.FAB_SEARCH;\n SettingValues.prefs.edit()\n .putInt(SettingValues.PREF_FAB_TYPE, Constants.FAB_SEARCH)\n .apply();\n SettingValues.prefs.edit()\n .putBoolean(SettingValues.PREF_FAB, true)\n .apply();\n break;\n }\n final TextView fabTitle = context.findViewById(R.id.settings_general_fab_current);\n if (SettingValues.fab) {\n if (SettingValues.fabType == Constants.FAB_DISMISS) {\n fabTitle.setText(R.string.fab_hide);\n } else if (SettingValues.fabType == Constants.FAB_POST) {\n fabTitle.setText(R.string.fab_create);\n } else {\n fabTitle.setText(R.string.fab_search);\n }\n } else {\n fabTitle.setText(R.string.fab_disabled);\n }\n\n return true;\n }\n });\n\n popup.show();\n }\n });\n }\n\n //SettingValues.subredditSearchMethod == 1 for drawer, 2 for toolbar, 3 for both\n final TextView currentMethodTitle = context.findViewById(R.id.settings_general_subreddit_search_method_current);\n\n if (currentMethodTitle != null) {\n if (SettingValues.subredditSearchMethod == Constants.SUBREDDIT_SEARCH_METHOD_DRAWER) {\n currentMethodTitle.setText(context.getString(R.string.subreddit_search_method_drawer));\n } else if (SettingValues.subredditSearchMethod\n == Constants.SUBREDDIT_SEARCH_METHOD_TOOLBAR) {\n currentMethodTitle.setText(context.getString(R.string.subreddit_search_method_toolbar));\n } else if (SettingValues.subredditSearchMethod == Constants.SUBREDDIT_SEARCH_METHOD_BOTH) {\n currentMethodTitle.setText(context.getString(R.string.subreddit_search_method_both));\n }\n }\n\n if (context.findViewById(R.id.settings_general_subreddit_search_method) != null) {\n context.findViewById(R.id.settings_general_subreddit_search_method).setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View v) {\n PopupMenu popup = new PopupMenu(SettingsGeneralFragment.this.context, v);\n popup.getMenuInflater().inflate(R.menu.subreddit_search_settings, popup.getMenu());\n\n popup.setOnMenuItemClickListener(new PopupMenu.OnMenuItemClickListener() {\n public boolean onMenuItemClick(MenuItem item) {\n switch (item.getItemId()) {\n case R.id.subreddit_search_drawer:\n SettingValues.subredditSearchMethod =\n Constants.SUBREDDIT_SEARCH_METHOD_DRAWER;\n SettingValues.prefs.edit()\n .putInt(SettingValues.PREF_SUBREDDIT_SEARCH_METHOD,\n Constants.SUBREDDIT_SEARCH_METHOD_DRAWER)\n .apply();\n searchChanged = true;\n break;\n case R.id.subreddit_search_toolbar:\n SettingValues.subredditSearchMethod =\n Constants.SUBREDDIT_SEARCH_METHOD_TOOLBAR;\n SettingValues.prefs.edit()\n .putInt(SettingValues.PREF_SUBREDDIT_SEARCH_METHOD,\n Constants.SUBREDDIT_SEARCH_METHOD_TOOLBAR)\n .apply();\n searchChanged = true;\n break;\n case R.id.subreddit_search_both:\n SettingValues.subredditSearchMethod =\n Constants.SUBREDDIT_SEARCH_METHOD_BOTH;\n SettingValues.prefs.edit()\n .putInt(SettingValues.PREF_SUBREDDIT_SEARCH_METHOD,\n Constants.SUBREDDIT_SEARCH_METHOD_BOTH)\n .apply();\n searchChanged = true;\n break;\n }\n\n if (SettingValues.subredditSearchMethod\n == Constants.SUBREDDIT_SEARCH_METHOD_DRAWER) {\n currentMethodTitle.setText(\n context.getString(R.string.subreddit_search_method_drawer));\n } else if (SettingValues.subredditSearchMethod\n == Constants.SUBREDDIT_SEARCH_METHOD_TOOLBAR) {\n currentMethodTitle.setText(\n context.getString(R.string.subreddit_search_method_toolbar));\n } else if (SettingValues.subredditSearchMethod\n == Constants.SUBREDDIT_SEARCH_METHOD_BOTH) {\n currentMethodTitle.setText(\n context.getString(R.string.subreddit_search_method_both));\n }\n return true;\n }\n });\n popup.show();\n }\n });\n }\n\n final TextView currentBackButtonTitle =\n context.findViewById(R.id.settings_general_back_button_behavior_current);\n if (SettingValues.backButtonBehavior\n == Constants.BackButtonBehaviorOptions.ConfirmExit.getValue()) {\n currentBackButtonTitle.setText(context.getString(R.string.back_button_behavior_confirm_exit));\n } else if (SettingValues.backButtonBehavior\n == Constants.BackButtonBehaviorOptions.OpenDrawer.getValue()) {\n currentBackButtonTitle.setText(context.getString(R.string.back_button_behavior_drawer));\n } else {\n currentBackButtonTitle.setText(context.getString(R.string.back_button_behavior_default));\n }\n\n context.findViewById(R.id.settings_general_back_button_behavior).setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View v) {\n PopupMenu popup = new PopupMenu(context, v);\n popup.getMenuInflater()\n .inflate(R.menu.back_button_behavior_settings, popup.getMenu());\n\n popup.setOnMenuItemClickListener(new PopupMenu.OnMenuItemClickListener() {\n public boolean onMenuItemClick(MenuItem item) {\n switch (item.getItemId()) {\n case R.id.back_button_behavior_default:\n SettingValues.backButtonBehavior =\n Constants.BackButtonBehaviorOptions.Default.getValue();\n SettingValues.prefs.edit()\n .putInt(SettingValues.PREF_BACK_BUTTON_BEHAVIOR,\n Constants.BackButtonBehaviorOptions.Default.getValue())\n .apply();\n break;\n case R.id.back_button_behavior_confirm_exit:\n SettingValues.backButtonBehavior =\n Constants.BackButtonBehaviorOptions.ConfirmExit.getValue();\n SettingValues.prefs.edit()\n .putInt(SettingValues.PREF_BACK_BUTTON_BEHAVIOR,\n Constants.BackButtonBehaviorOptions.ConfirmExit.getValue())\n .apply();\n break;\n case R.id.back_button_behavior_open_drawer:\n SettingValues.backButtonBehavior =\n Constants.BackButtonBehaviorOptions.OpenDrawer.getValue();\n SettingValues.prefs.edit()\n .putInt(SettingValues.PREF_BACK_BUTTON_BEHAVIOR,\n Constants.BackButtonBehaviorOptions.OpenDrawer.getValue())\n .apply();\n break;\n }\n\n if (SettingValues.backButtonBehavior\n == Constants.BackButtonBehaviorOptions.ConfirmExit.getValue()) {\n currentBackButtonTitle.setText(\n context.getString(R.string.back_button_behavior_confirm_exit));\n } else if (SettingValues.backButtonBehavior\n == Constants.BackButtonBehaviorOptions.OpenDrawer.getValue()) {\n currentBackButtonTitle.setText(\n context.getString(R.string.back_button_behavior_drawer));\n } else {\n currentBackButtonTitle.setText(\n context.getString(R.string.back_button_behavior_default));\n }\n return true;\n }\n });\n popup.show();\n }\n });\n\n if (context.findViewById(R.id.settings_general_notifications_current) != null &&\n context.findViewById(R.id.settings_general_sub_notifs_current) != null) {\n if (Reddit.notificationTime > 0) {\n ((TextView) context.findViewById(R.id.settings_general_notifications_current)).setText(\n context.getString(R.string.settings_notification_short,\n TimeUtils.getTimeInHoursAndMins(Reddit.notificationTime,\n context.getBaseContext())));\n setSubText();\n } else {\n ((TextView) context.findViewById(R.id.settings_general_notifications_current)).setText(\n R.string.settings_notifdisabled);\n ((TextView) context.findViewById(R.id.settings_general_sub_notifs_current)).setText(\n R.string.settings_enable_notifs);\n }\n }\n\n if (Authentication.isLoggedIn) {\n if (context.findViewById(R.id.settings_general_notifications) != null) {\n context.findViewById(R.id.settings_general_notifications).setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View v) {\n LayoutInflater inflater = context.getLayoutInflater();\n final View dialoglayout = inflater.inflate(R.layout.inboxfrequency, null);\n setupNotificationSettings(dialoglayout, SettingsGeneralFragment.this.context);\n }\n });\n }\n if (context.findViewById(R.id.settings_general_sub_notifications) != null) {\n context.findViewById(R.id.settings_general_sub_notifications).setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View v) {\n showSelectDialog();\n }\n });\n }\n } else {\n if (context.findViewById(R.id.settings_general_notifications) != null) {\n context.findViewById(R.id.settings_general_notifications).setEnabled(false);\n context.findViewById(R.id.settings_general_notifications).setAlpha(0.25f);\n }\n if (context.findViewById(R.id.settings_general_sub_notifications) != null) {\n context.findViewById(R.id.settings_general_sub_notifications).setEnabled(false);\n context.findViewById(R.id.settings_general_sub_notifications).setAlpha(0.25f);\n }\n }\n\n if (context.findViewById(R.id.settings_general_sorting_current) != null) {\n ((TextView) context.findViewById(R.id.settings_general_sorting_current)).setText(\n SortingUtil.getSortingStrings()[SortingUtil.getSortingId(\"\")]);\n }\n\n {\n if (context.findViewById(R.id.settings_general_sorting) != null) {\n context.findViewById(R.id.settings_general_sorting).setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View v) {\n\n final DialogInterface.OnClickListener l2 =\n new DialogInterface.OnClickListener() {\n\n @Override\n public void onClick(DialogInterface dialogInterface, int i) {\n switch (i) {\n case 0:\n SortingUtil.defaultSorting = Sorting.HOT;\n break;\n case 1:\n SortingUtil.defaultSorting = Sorting.NEW;\n break;\n case 2:\n SortingUtil.defaultSorting = Sorting.RISING;\n break;\n case 3:\n SortingUtil.defaultSorting = Sorting.TOP;\n askTimePeriod();\n return;\n case 4:\n SortingUtil.defaultSorting = Sorting.CONTROVERSIAL;\n askTimePeriod();\n return;\n }\n SettingValues.prefs.edit()\n .putString(\"defaultSorting\",\n SortingUtil.defaultSorting.name())\n .apply();\n SettingValues.defaultSorting = SortingUtil.defaultSorting;\n\n if (context.findViewById(R.id.settings_general_sorting_current) != null) {\n ((TextView) context.findViewById(R.id.settings_general_sorting_current)).setText(\n SortingUtil.getSortingStrings()[SortingUtil.getSortingId(\n \"\")]);\n }\n }\n };\n\n AlertDialogWrapper.Builder builder =\n new AlertDialogWrapper.Builder(SettingsGeneralFragment.this.context);\n builder.setTitle(R.string.sorting_choose);\n\n // Remove the \"Best\" sorting option from settings because it is only supported on the frontpage.\n int skip = -1;\n List<String> sortingStrings = new ArrayList<>(Arrays.asList(SortingUtil.getSortingStrings()));\n for (int i = 0; i < sortingStrings.size(); i++) {\n if (sortingStrings.get(i).equals(context.getString(R.string.sorting_best))) {\n skip = i;\n break;\n }\n }\n if (skip != -1) {\n sortingStrings.remove(skip);\n }\n\n builder.setSingleChoiceItems(sortingStrings.toArray(new String[0]), SortingUtil.getSortingId(\"\"), l2);\n builder.show();\n }\n });\n }\n }\n doNotifText(context);\n {\n final int i2 = SettingValues.defaultCommentSorting == CommentSort.CONFIDENCE ? 0\n : SettingValues.defaultCommentSorting == CommentSort.TOP ? 1\n : SettingValues.defaultCommentSorting == CommentSort.NEW ? 2\n : SettingValues.defaultCommentSorting\n == CommentSort.CONTROVERSIAL ? 3\n : SettingValues.defaultCommentSorting == CommentSort.OLD\n ? 4 : SettingValues.defaultCommentSorting\n == CommentSort.QA ? 5 : 0;\n\n if (context.findViewById(R.id.settings_general_sorting_current_comment) != null) {\n ((TextView) context.findViewById(R.id.settings_general_sorting_current_comment)).setText(\n SortingUtil.getSortingCommentsStrings()[i2]);\n }\n\n if (context.findViewById(R.id.settings_general_sorting_comment) != null) {\n context.findViewById(R.id.settings_general_sorting_comment).setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View v) {\n final DialogInterface.OnClickListener l2 =\n new DialogInterface.OnClickListener() {\n\n @Override\n public void onClick(DialogInterface dialogInterface, int i) {\n CommentSort commentSorting =\n SettingValues.defaultCommentSorting;\n\n switch (i) {\n case 0:\n commentSorting = CommentSort.CONFIDENCE;\n break;\n case 1:\n commentSorting = CommentSort.TOP;\n break;\n case 2:\n commentSorting = CommentSort.NEW;\n break;\n case 3:\n commentSorting = CommentSort.CONTROVERSIAL;\n break;\n case 4:\n commentSorting = CommentSort.OLD;\n break;\n case 5:\n commentSorting = CommentSort.QA;\n break;\n }\n SettingValues.prefs.edit()\n .putString(\"defaultCommentSortingNew\",\n commentSorting.name())\n .apply();\n SettingValues.defaultCommentSorting = commentSorting;\n if (context.findViewById(R.id.settings_general_sorting_current_comment) != null) {\n ((TextView) context.findViewById(R.id.settings_general_sorting_current_comment)).setText(\n SortingUtil.getSortingCommentsStrings()[i]);\n }\n }\n };\n\n AlertDialogWrapper.Builder builder =\n new AlertDialogWrapper.Builder(SettingsGeneralFragment.this.context);\n builder.setTitle(R.string.sorting_choose);\n Resources res = context.getBaseContext().getResources();\n builder.setSingleChoiceItems(new String[]{\n res.getString(R.string.sorting_best),\n res.getString(R.string.sorting_top),\n res.getString(R.string.sorting_new),\n res.getString(R.string.sorting_controversial),\n res.getString(R.string.sorting_old), res.getString(R.string.sorting_ama)\n }, i2, l2);\n builder.show();\n }\n });\n }\n }\n }","title":""},{"docid":"a743d2e17fe5d944baf10001ee3afc4e","score":"0.4709995","text":"public void setTranslateFlag(java.lang.String translateFlag);","title":""},{"docid":"05ce71c21beff9c47e23f41306406389","score":"0.4706243","text":"public static void addSettings(CTSettings ctSettings){\n // <w:zoom w:percent=\"150\"/>\n ctSettings.addNewZoom().setPercent(BigInteger.valueOf(150));\n // <w:bordersDoNotSurroundHeader/>\n ctSettings.addNewBordersDoNotSurroundHeader();\n // <w:bordersDoNotSurroundFooter/>\n ctSettings.addNewBordersDoNotSurroundFooter();\n // <w:proofState w:grammar=\"clean\"/>\n ctSettings.addNewProofState().setGrammar(STProof.Enum.forInt(1));\n // <w:defaultTabStop w:val=\"420\"/>\n ctSettings.addNewDefaultTabStop().setVal(BigInteger.valueOf(420));\n // <w:drawingGridVerticalSpacing w:val=\"156\"/>\n ctSettings.addNewDrawingGridVerticalSpacing().setVal(BigInteger.valueOf(156));\n // <w:displayHorizontalDrawingGridEvery w:val=\"0\"/>\n ctSettings.addNewDisplayHorizontalDrawingGridEvery().setVal(BigInteger.valueOf(0));\n // <w:displayVerticalDrawingGridEvery w:val=\"2\"/>\n ctSettings.addNewDisplayVerticalDrawingGridEvery().setVal(BigInteger.valueOf(2));\n // <w:characterSpacingControl w:val=\"compressPunctuation\"/>\n ctSettings.addNewCharacterSpacingControl().setVal(STCharacterSpacing.Enum.forString(\"compressPunctuation\"));\n // <w:compat>\n CTCompat compat = ctSettings.addNewCompat();\n // <w:spaceForUL/>\n compat.addNewSpaceForUL();\n // <w:balanceSingleByteDoubleByteWidth/>\n compat.addNewBalanceSingleByteDoubleByteWidth();\n // <w:doNotLeaveBackslashAlone/>\n compat.addNewDoNotLeaveBackslashAlone();\n // <w:ulTrailSpace/>\n compat.addNewUlTrailSpace();\n // <w:doNotExpandShiftReturn/>\n compat.addNewDoNotExpandShiftReturn();\n // <w:adjustLineHeightInTable/>\n compat.addNewAdjustLineHeightInTable();\n // <w:useFELayout/>\n compat.addNewUseFELayout();\n\n // <m:mathPr>\n ctSettings.addNewMathPr();\n // <m:mathFont m:val=\"Cambria Math\"/>\n ctSettings.getMathPr().addNewMathFont().setVal(\"Cambria Math\");\n // <m:brkBin m:val=\"before\"/>\n ctSettings.getMathPr().addNewBrkBin().setVal(STBreakBin.Enum.forString(\"before\"));\n // <m:brkBinSub m:val=\"--\"/>\n ctSettings.getMathPr().addNewBrkBinSub().setVal(STBreakBinSub.Enum.forString(\"--\"));\n // <m:smallFrac m:val=\"off\"/>\n ctSettings.getMathPr().addNewSmallFrac().setVal(STOnOff.Enum.forString(\"off\"));\n // <m:dispDef/>\n ctSettings.getMathPr().addNewDispDef();\n // <m:lMargin m:val=\"0\"/>\n ctSettings.getMathPr().addNewLMargin().setVal(0);\n // <m:rMargin m:val=\"0\"/>\n ctSettings.getMathPr().addNewRMargin().setVal(0);\n // <m:defJc m:val=\"centerGroup\"/>\n ctSettings.getMathPr().addNewDefJc().setVal(STJc.Enum.forString(\"centerGroup\"));\n // <m:wrapIndent m:val=\"1440\"/>\n ctSettings.getMathPr().addNewWrapIndent().setVal(1440);\n // <m:intLim m:val=\"subSup\"/>\n ctSettings.getMathPr().addNewIntLim().setVal(STLimLoc.Enum.forString(\"subSup\"));\n // <m:naryLim m:val=\"undOvr\"/>\n ctSettings.getMathPr().addNewNaryLim().setVal(STLimLoc.Enum.forString(\"undOvr\"));\n\n // <w:themeFontLang w:val=\"en-US\" w:eastAsia=\"zh-CN\"/>\n ctSettings.addNewThemeFontLang();\n ctSettings.getThemeFontLang().setVal(\"en-US\");\n ctSettings.getThemeFontLang().setEastAsia(\"zh-CN\");\n\n // <w:clrSchemeMapping>\n CTColorSchemeMapping ctColorSchemeMapping = ctSettings.addNewClrSchemeMapping();\n // w:followedHyperlink=\"followedHyperlink\"\n ctColorSchemeMapping.setFollowedHyperlink(STColorSchemeIndex.Enum.forString(\"followedHyperlink\"));\n // w:hyperlink=\"hyperlink\"\n ctColorSchemeMapping.setHyperlink(STColorSchemeIndex.Enum.forString(\"hyperlink\"));\n // w:accent6=\"accent6\"\n ctColorSchemeMapping.setAccent6(STColorSchemeIndex.Enum.forString(\"accent6\"));\n // w:accent5=\"accent5\"\n ctColorSchemeMapping.setAccent5(STColorSchemeIndex.Enum.forString(\"accent5\"));\n // w:accent4=\"accent4\"\n ctColorSchemeMapping.setAccent4(STColorSchemeIndex.Enum.forString(\"accent4\"));\n // w:accent3=\"accent3\"\n ctColorSchemeMapping.setAccent3(STColorSchemeIndex.Enum.forString(\"accent3\"));\n // w:accent2=\"accent2\"\n ctColorSchemeMapping.setAccent2(STColorSchemeIndex.Enum.forString(\"accent2\"));\n // w:accent1=\"accent1\"\n ctColorSchemeMapping.setAccent1(STColorSchemeIndex.Enum.forString(\"accent1\"));\n // w:t2=\"dark2\"\n ctColorSchemeMapping.setT2(STColorSchemeIndex.Enum.forString(\"dark2\"));\n // w:bg2=\"light2\"\n ctColorSchemeMapping.setBg2(STColorSchemeIndex.Enum.forString(\"light2\"));\n // w:t1=\"dark1\"\n ctColorSchemeMapping.setT1(STColorSchemeIndex.Enum.forString(\"dark1\"));\n // w:bg1=\"light1\"\n ctColorSchemeMapping.setBg1(STColorSchemeIndex.Enum.forString(\"light1\"));\n\n // <w:shapeDefaults/>\n ctSettings.addNewShapeDefaults();\n // <w:decimalSymbol w:val=\".\"/>\n ctSettings.addNewDecimalSymbol().setVal(\".\");\n // <w:listSeparator w:val=\",\"/>\n ctSettings.addNewListSeparator().setVal(\",\");\n }","title":""},{"docid":"eab46baf63dc6ad8cb1e98c51a349b50","score":"0.4705629","text":"private void showSettingsDialog() {\n AlertDialog.Builder builder = new AlertDialog.Builder(SplashActivity.this);\n builder.setTitle(getString(R.string.need_permission_str));\n builder.setMessage(getString(R.string.app_needs_permission_str));\n builder.setPositiveButton(R.string.goto_settings_str, new DialogInterface.OnClickListener() {\n @Override\n public void onClick(DialogInterface dialog, int which) {\n dialog.cancel();\n openSettings();\n }\n });\n builder.setNegativeButton(getString(R.string.cancel_str), new DialogInterface.OnClickListener() {\n @Override\n public void onClick(DialogInterface dialog, int which) {\n dialog.cancel();\n showToast(getString(R.string.splash_permission_str));\n }\n });\n builder.show();\n\n }","title":""},{"docid":"17df53774863a3e82c0001df46962613","score":"0.47032034","text":"@SuppressLint({\"WrongConstant\"})\n public void onCreate(Bundle bundle) {\n int i;\n boolean z;\n boolean z2;\n boolean z3;\n boolean z4;\n boolean z5;\n try {\n requestWindowFeature(1);\n } catch (Throwable th) {\n }\n try {\n super.onCreate(bundle);\n getWindow().addFlags(1024);\n context = this;\n getWindow().setSoftInputMode(32);\n this.orientation = getRequestedOrientation();\n mm.a(getApplicationContext());\n int i2 = R.drawable.$ic_launcher_foreground__0;\n Bundle bundleExtra = getIntent().getBundleExtra(AmapNaviPage.THEME_DATA);\n if (bundleExtra != null) {\n i2 = bundleExtra.getInt(AmapNaviPage.THEME_ID);\n }\n mm.b(this, i2);\n getWindow().setFormat(-3);\n this.pageStackTop = -1;\n pageStackLength = 0;\n Bundle bundleExtra2 = getIntent().getBundleExtra(\"data\");\n if (bundleExtra2 != null) {\n bundleExtra2.putInt(\"from\", 4);\n z = bundleExtra2.getBoolean(AmapNaviPage.PAGE_TYPE, false);\n this.isNeedDestroyDriveManagerInstanceWhenNaviExit = bundleExtra2.getBoolean(AmapNaviPage.ISNEEDDESTROYDRIVEMANAGERINSTANCEWHENNAVIEXIT, true);\n this.isShowExitNaviDialog = bundleExtra2.getBoolean(AmapNaviPage.ISSHOWEXITNAVIDIALOG, true);\n getSearchResult().a((AMapCarInfo) bundleExtra2.getParcelable(AmapNaviPage.CAR_INFO));\n AMapNavi.getInstance(this).setUseInnerVoice(bundleExtra2.getBoolean(AmapNaviPage.ISUSEINNERVOICE), true);\n AMapNavi.getInstance(this).setMultipleRouteNaviMode(bundleExtra2.getBoolean(AmapNaviPage.ISMULTIPLEROUTENAVIMODE));\n i = bundleExtra2.getInt(AmapNaviPage.PLANSTRATEGY, -1);\n } else {\n z = false;\n i = 10;\n }\n if (z) {\n newScr(new kn(2, bundleExtra2));\n } else {\n newScr(new kn(1, bundleExtra2));\n }\n if (i != -1) {\n boolean[] zArr = new boolean[4];\n switch (i) {\n case 1:\n case 14:\n z5 = false;\n z4 = true;\n z3 = false;\n z2 = false;\n zArr[0] = z5;\n zArr[1] = z4;\n zArr[2] = z3;\n zArr[3] = z2;\n lz.a(this, zArr[0]);\n lz.b(this, zArr[1]);\n lz.c(this, zArr[2]);\n lz.d(this, zArr[3]);\n break;\n case 2:\n case 5:\n case 10:\n case 11:\n default:\n z5 = false;\n z4 = false;\n z3 = false;\n z2 = false;\n zArr[0] = z5;\n zArr[1] = z4;\n zArr[2] = z3;\n zArr[3] = z2;\n lz.a(this, zArr[0]);\n lz.b(this, zArr[1]);\n lz.c(this, zArr[2]);\n lz.d(this, zArr[3]);\n break;\n case 3:\n case 15:\n z5 = true;\n z4 = false;\n z3 = true;\n z2 = false;\n zArr[0] = z5;\n zArr[1] = z4;\n zArr[2] = z3;\n zArr[3] = z2;\n lz.a(this, zArr[0]);\n lz.b(this, zArr[1]);\n lz.c(this, zArr[2]);\n lz.d(this, zArr[3]);\n break;\n case 4:\n case 12:\n z5 = true;\n z4 = false;\n z3 = false;\n z2 = false;\n zArr[0] = z5;\n zArr[1] = z4;\n zArr[2] = z3;\n zArr[3] = z2;\n lz.a(this, zArr[0]);\n lz.b(this, zArr[1]);\n lz.c(this, zArr[2]);\n lz.d(this, zArr[3]);\n break;\n case 6:\n case 13:\n z5 = false;\n z4 = false;\n z3 = true;\n z2 = false;\n zArr[0] = z5;\n zArr[1] = z4;\n zArr[2] = z3;\n zArr[3] = z2;\n lz.a(this, zArr[0]);\n lz.b(this, zArr[1]);\n lz.c(this, zArr[2]);\n lz.d(this, zArr[3]);\n break;\n case 7:\n case 16:\n z5 = false;\n z4 = true;\n z3 = true;\n z2 = false;\n zArr[0] = z5;\n zArr[1] = z4;\n zArr[2] = z3;\n zArr[3] = z2;\n lz.a(this, zArr[0]);\n lz.b(this, zArr[1]);\n lz.c(this, zArr[2]);\n lz.d(this, zArr[3]);\n break;\n case 8:\n case 17:\n z5 = true;\n z4 = true;\n z3 = false;\n z2 = false;\n zArr[0] = z5;\n zArr[1] = z4;\n zArr[2] = z3;\n zArr[3] = z2;\n lz.a(this, zArr[0]);\n lz.b(this, zArr[1]);\n lz.c(this, zArr[2]);\n lz.d(this, zArr[3]);\n break;\n case 9:\n case 18:\n z5 = true;\n z4 = true;\n z3 = true;\n z2 = false;\n zArr[0] = z5;\n zArr[1] = z4;\n zArr[2] = z3;\n zArr[3] = z2;\n lz.a(this, zArr[0]);\n lz.b(this, zArr[1]);\n lz.c(this, zArr[2]);\n lz.d(this, zArr[3]);\n break;\n case 19:\n z5 = false;\n z4 = false;\n z3 = false;\n z2 = true;\n zArr[0] = z5;\n zArr[1] = z4;\n zArr[2] = z3;\n zArr[3] = z2;\n lz.a(this, zArr[0]);\n lz.b(this, zArr[1]);\n lz.c(this, zArr[2]);\n lz.d(this, zArr[3]);\n break;\n case 20:\n z5 = true;\n z4 = false;\n z3 = false;\n z2 = true;\n zArr[0] = z5;\n zArr[1] = z4;\n zArr[2] = z3;\n zArr[3] = z2;\n lz.a(this, zArr[0]);\n lz.b(this, zArr[1]);\n lz.c(this, zArr[2]);\n lz.d(this, zArr[3]);\n break;\n }\n } else {\n i = mo.a(context);\n }\n INaviInfoCallback callback = AmapNaviPage.getInstance().getCallback();\n if (callback != null) {\n callback.onStrategyChanged(i);\n }\n } catch (Throwable th2) {\n th2.printStackTrace();\n }\n }","title":""},{"docid":"dcc0014c83b2f5b41e499e6500d47d16","score":"0.4700644","text":"private void launchSettings(){\n Intent intent = new Intent(this, Settings.class);\n\n //Starting activity, marking 1 as the code for receiving data back\n startActivityForResult(intent, 1);\n }","title":""},{"docid":"08e80ab24be8efef37d44f2d94a5e728","score":"0.46991044","text":"protected void onCreate(Bundle bundle) {\n\t\tsuper.onCreate(bundle);\n\t\taddPreferencesFromResource(R.xml.tm_preferences);\n\t\tthis.mAutoKillPreference = ((CheckBoxPreference) findPreference(\"auto_kill\"));\n\t\tif ((this.mAutoKillPreference.isChecked())\n\t\t\t\t&& (TmWidgetProvider.getWidgetIds(getBaseContext()).size() == 0)) {\n\t\t\tnew android.app.AlertDialog.Builder(this)\n\t\t\t\t\t.setTitle(\"note_title\")\n\t\t\t\t\t.setMessage(\"auto_kill_note_text\")\n\t\t\t\t\t.setPositiveButton(\"OK\",\n\t\t\t\t\t\t\tnew DialogInterface.OnClickListener() {\n\t\t\t\t\t\t\t\tpublic void onClick(\n\t\t\t\t\t\t\t\t\t\tDialogInterface paramDialogInterface,\n\t\t\t\t\t\t\t\t\t\tint paramInt) {\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}).show();\n\t\t\tthis.mAutoKillPreference.setChecked(false);\n\t\t}\n\t\tthis.mAutoKillPreference\n\t\t\t\t.setOnPreferenceChangeListener(new Preference.OnPreferenceChangeListener() {\n\t\t\t\t\tpublic boolean onPreferenceChange(\n\t\t\t\t\t\t\tPreference paramPreference, Object paramObject) {\n\t\t\t\t\t\tif ((((Boolean) paramObject).booleanValue())\n\t\t\t\t\t\t\t\t&& (TmWidgetProvider.getWidgetIds(\n\t\t\t\t\t\t\t\t\t\tPreferencesActivity.this\n\t\t\t\t\t\t\t\t\t\t\t\t.getBaseContext()).size() == 0))\n\t\t\t\t\t\t\tnew android.app.AlertDialog.Builder(\n\t\t\t\t\t\t\t\t\tPreferencesActivity.this)\n\t\t\t\t\t\t\t\t\t.setTitle(\"note_title\")\n\t\t\t\t\t\t\t\t\t.setMessage(\"auto_kill_note_text\")\n\t\t\t\t\t\t\t\t\t.setPositiveButton(\n\t\t\t\t\t\t\t\t\t\t\t\"Cancel\",\n\t\t\t\t\t\t\t\t\t\t\tnew DialogInterface.OnClickListener() {\n\t\t\t\t\t\t\t\t\t\t\t\tpublic void onClick(\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tDialogInterface paramDialogInterface,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tint paramInt) {\n\t\t\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\t\t}).show();\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\tthis.mStatEnablePreference = ((CheckBoxPreference) findPreference(\"stat_enabled\"));\n\t\tthis.mStatEnablePreference\n\t\t\t\t.setOnPreferenceChangeListener(new Preference.OnPreferenceChangeListener() {\n\t\t\t\t\tpublic boolean onPreferenceChange(\n\t\t\t\t\t\t\tPreference paramPreference, Object paramObject) {\n\t\t\t\t\t\tboolean bool = ((Boolean) paramObject).booleanValue();\n\t\t\t\t\t\tif (!bool) {\n\t\t\t\t\t\t\tPreferencesActivity.this.mAutoStartPreference\n\t\t\t\t\t\t\t\t\t.setChecked(false);\n\t\t\t\t\t\t\tPreferencesActivity.enableAutoStart(\n\t\t\t\t\t\t\t\t\tPreferencesActivity.this, false);\n\t\t\t\t\t\t}\n\t\t\t\t\t\tPreferencesActivity.changeStatusIcon(\n\t\t\t\t\t\t\t\tPreferencesActivity.this, bool);\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\tchangeStatusIcon(this, this.mStatEnablePreference.isChecked());\n\t\tthis.mAutoStartPreference = ((CheckBoxPreference) findPreference(\"auto_start\"));\n\t\tthis.mAutoStartPreference\n\t\t\t\t.setOnPreferenceChangeListener(new Preference.OnPreferenceChangeListener() {\n\t\t\t\t\tpublic boolean onPreferenceChange(\n\t\t\t\t\t\t\tPreference paramPreference, Object paramObject) {\n\t\t\t\t\t\tboolean bool = ((Boolean) paramObject).booleanValue();\n\t\t\t\t\t\tif (bool) {\n\t\t\t\t\t\t\tPreferencesActivity.this.mStatEnablePreference\n\t\t\t\t\t\t\t\t\t.setChecked(true);\n\t\t\t\t\t\t\tPreferencesActivity.changeStatusIcon(\n\t\t\t\t\t\t\t\t\tPreferencesActivity.this, true);\n\t\t\t\t\t\t}\n\t\t\t\t\t\tPreferencesActivity.enableAutoStart(\n\t\t\t\t\t\t\t\tPreferencesActivity.this, bool);\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\tthis.mShortCutPreference = ((CheckBoxPreference) findPreference(\"shortcut\"));\n\t\tthis.mShortCutPreference\n\t\t\t\t.setOnPreferenceChangeListener(new Preference.OnPreferenceChangeListener() {\n\t\t\t\t\tpublic boolean onPreferenceChange(\n\t\t\t\t\t\t\tPreference paramPreference, Object paramObject) {\n\t\t\t\t\t\tif (((Boolean) paramObject).booleanValue())\n\t\t\t\t\t\t\tShortcutCreater\n\t\t\t\t\t\t\t\t\t.createTaskManagerIcon(PreferencesActivity.this);\n\t\t\t\t\t\twhile (true) {\n\t\t\t\t\t\t\tShortcutCreater\n\t\t\t\t\t\t\t\t\t.removeTaskManagerIcon(PreferencesActivity.this);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t});\n\t\tthis.mFAQPreference = findPreference(\"faq\");\n\t\tthis.mFAQPreference\n\t\t\t\t.setOnPreferenceClickListener(new Preference.OnPreferenceClickListener() {\n\t\t\t\t\tpublic boolean onPreferenceClick(Preference paramPreference) {\n\t\t\t\t\t\tIntent localIntent = new Intent(\n\t\t\t\t\t\t\t\t\"android.intent.action.VIEW\",\n\t\t\t\t\t\t\t\tUri.parse(\"http://www.estrongs.com/faqs.html\"));\n\t\t\t\t\t\tPreferencesActivity.this.startActivity(localIntent);\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t});\n\t}","title":""},{"docid":"6670b015c56f4ff10993b819dca068cd","score":"0.46953627","text":"public void setBundleItf(String arg[]) throws ReadWriteException\n\t{\n\t\tsetValue(_Prefix + RetrievalPlan.BUNDLEITF.toString(), arg);\n\t}","title":""},{"docid":"6732e7cf696ccf9e34953920c1e6ebef","score":"0.4690961","text":"public abstract void mo412a(Bundle bundle);","title":""},{"docid":"59159d309822ebee40b63d5f086a3235","score":"0.46909043","text":"protected void createSwitches(Vector<String> singleSwitches,\n\t\t\t\t Vector<String> argSwitches) {\n\n\tsingleSwitches.add(\"-y\");\n\tsingleSwitches.add(\"-h\");\n\targSwitches.add(\"-db\");\n\targSwitches.add(\"-e\");\n }","title":""},{"docid":"7dbe99b4ad41b1f72008e3f6d56f6e7a","score":"0.46877447","text":"public Bundle setArgumentsFragment(String title){\n Bundle arguments = new Bundle();\n if(title.equals(\"Dia\")){\n arguments.putInt(\"proteinas\",mapStadisticDay.get(\"proteinas\"));\n arguments.putInt(\"kilocalorias\",mapStadisticDay.get(\"kilocalorias\"));\n arguments.putInt(\"grasas\",mapStadisticDay.get(\"grasas\"));\n arguments.putInt(\"hidratos\",mapStadisticDay.get(\"hidratos\"));\n arguments.putInt(\"azucar\",mapStadisticDay.get(\"azucar\"));\n arguments.putInt(\"proteinasMax\",mapStadisticDay.get(\"proteinasMax\"));\n arguments.putInt(\"kilocaloriasMax\",mapStadisticDay.get(\"kilocaloriasMax\"));\n arguments.putInt(\"grasasMax\",mapStadisticDay.get(\"grasasMax\"));\n arguments.putInt(\"hidratosMax\",mapStadisticDay.get(\"hidratosMax\"));\n arguments.putInt(\"azucarMax\",mapStadisticDay.get(\"azucarMax\"));\n }\n if(title.equals(\"Semana\")){\n arguments.putInt(\"proteinas\",mapStadisticWeek.get(\"proteinas\"));\n arguments.putInt(\"kilocalorias\",mapStadisticWeek.get(\"kilocalorias\"));\n arguments.putInt(\"grasas\",mapStadisticWeek.get(\"grasas\"));\n arguments.putInt(\"hidratos\",mapStadisticWeek.get(\"hidratos\"));\n arguments.putInt(\"azucar\",mapStadisticWeek.get(\"azucar\"));\n arguments.putInt(\"proteinasMax\",mapStadisticWeek.get(\"proteinasMax\"));\n arguments.putInt(\"kilocaloriasMax\",mapStadisticWeek.get(\"kilocaloriasMax\"));\n arguments.putInt(\"grasasMax\",mapStadisticWeek.get(\"grasasMax\"));\n arguments.putInt(\"hidratosMax\",mapStadisticWeek.get(\"hidratosMax\"));\n arguments.putInt(\"azucarMax\",mapStadisticWeek.get(\"azucarMax\"));\n }\n return arguments;\n }","title":""},{"docid":"960fdd41ce5f31efe5c4806098f0ad8b","score":"0.4675055","text":"private void setupSimplePreferencesScreen() {\n\t\tif (!isSimplePreferences(this)) {\n\t\t\treturn;\n\t\t}\n\n\t\taddPreferencesFromResource(R.xml.pref_settings);\n\t\t\n//\t\tbindPreferenceOnClickListener(findPreference(KEY_CLEAN_DOWNLOAD_CACHE));\n\t\t\n\t\tbindPreferenceOnClickListener(findPreference(KEY_FEEDBACK));\n\t\tPreference versionPreference = findPreference(KEY_CHECK_NEW_VERSION);\n\t\tversionPreference.setSummary(versionPreference.getSummary() + AppUtils.getAppVersionNumberString(this));\n\t\tbindPreferenceOnClickListener(versionPreference);\n\t\tbindPreferenceOnClickListener(findPreference(KEY_ABOUT_TEAHOUR_FM));\n\t\tbindPreferenceOnClickListener(findPreference(KEY_ABOUT_CREATER));\n\t}","title":""},{"docid":"7a44eaa6937d2dc783707aa6c7ce0ffe","score":"0.4674991","text":"@Override\n\tpublic void prepareDialog(SettingsDialog dialog) {\n\t\t\n\t}","title":""},{"docid":"dcf92a3dd7c24f7d30789b70f8da93d0","score":"0.46737748","text":"public long addDefaultJobSettingToDB(SQLiteDatabase db, ProjectJobSettings settings, boolean options){\n Log.d(TAG, \"addDefaultJobSettingToDB: Starting\");\n\n ContentValues contentValues = new ContentValues();\n\n\n //Required\n contentValues.put(JobContract.JobSettingsEntry.KEY_PROJECT_ID, settings.getProjectId());\n contentValues.put(JobContract.JobSettingsEntry.KEY_JOB_ID, settings.getJob_id());\n contentValues.put(JobContract.JobSettingsEntry.KEY_JOB_NAME, settings.getJobName());\n\n contentValues.put(JobContract.JobSettingsEntry.KEY_UI_FIRST_START, settings.getUiFirstStart());\n contentValues.put(JobContract.JobSettingsEntry.KEY_DRAWER_STATE,settings.getUiDrawerState());\n contentValues.put(JobContract.JobSettingsEntry.KEY_DEFAULT_JOB_TYPE, settings.getDefaultJobType());\n\n contentValues.put(JobContract.JobSettingsEntry.KEY_OVER_PROJECTION, settings.getOverrideProjection());\n contentValues.put(JobContract.JobSettingsEntry.KEY_OVER_PROJECTION_STRING, settings.getOverrideProjectionString());\n contentValues.put(JobContract.JobSettingsEntry.KEY_OVER_ZONE,settings.getOverrideZone());\n contentValues.put(JobContract.JobSettingsEntry.KEY_OVER_PROJECTION_ZONE_STRING, settings.getOverrideZoneString());\n contentValues.put(JobContract.JobSettingsEntry.KEY_UNITS,settings.getOverrideUnits());\n\n contentValues.put(JobContract.JobSettingsEntry.KEY_SYSTEM_DIST_DISPLAY,settings.getSystemDistanceDisplay());\n contentValues.put(JobContract.JobSettingsEntry.KEY_SYSTEM_DIST_PREC_DISPLAY,settings.getSystemDistancePrecisionDisplay());\n contentValues.put(JobContract.JobSettingsEntry.KEY_SYSTEM_COORD_PREC_DISPLAY,settings.getSystemCoordinatesPrecisionDisplay());\n contentValues.put(JobContract.JobSettingsEntry.KEY_SYSTEM_ANGLE_DISPLAY,settings.getSystemAngleDisplay());\n\n contentValues.put(JobContract.JobSettingsEntry.KEY_FORMAT_COORD_ENTRY,settings.getFormatCoordinatesEntry());\n contentValues.put(JobContract.JobSettingsEntry.KEY_FORMAT_ANGLE_HZ_DISPLAY,settings.getFormatAngleHorizontalDisplay());\n contentValues.put(JobContract.JobSettingsEntry.KEY_FORMAT_ANGLE_HZ_OBSERVATION_ENTRY,settings.getFormatAngleHorizontalObsEntry());\n contentValues.put(JobContract.JobSettingsEntry.KEY_FORMAT_ANGLE_VZ_OBSERVATION_DISPLAY,settings.getFormatAngleVerticalObsDisplay());\n contentValues.put(JobContract.JobSettingsEntry.KEY_FORMAT_DISTANCE_HZ_OBSERVATION_DISPLAY,settings.getFormatDistanceHorizontalObsDisplay());\n\n contentValues.put(JobContract.JobSettingsEntry.KEY_OPTIONS_RAW_FILE, settings.getOptionsRawFile());\n contentValues.put(JobContract.JobSettingsEntry.KEY_OPTIONS_RAW_TIME_STAMP,settings.getOptionsRawTimeStamp());\n contentValues.put(JobContract.JobSettingsEntry.KEY_OPTIONS_GPS_ATTRIBUTE, settings.getOptionsGpsAttribute());\n contentValues.put(JobContract.JobSettingsEntry.KEY_OPTIONS_CODE_TABLE, settings.getOptionsCodeTable());\n\n //Optional\n\n if(options){\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_CLIENT,settings.getAttClient());\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_MISSION,settings.getAttMission());\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_WEATHER_GENERAL,settings.getAttWeatherGeneral());\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_WEATHER_TEMP,settings.getAttWeatherTemp());\n\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_STAFF_LEADER,settings.getAttStaffLeader());\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_STAFF_STAFF1,settings.getAttStaff_1());\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_STAFF_STAFF2,settings.getAttStaff_2());\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_STAFF_OTHER,settings.getAttStaffOther());\n }\n\n Log.d(TAG, \"addData: Adding Default Settings to \" + JobContract.JobSettingsEntry.TABLE_NAME);\n\n Long result = db.insert(JobContract.JobSettingsEntry.TABLE_NAME, null, contentValues);\n db.close();\n\n if (result==-1){\n Log.d(TAG,\"Error, Something went wrong...\");\n return -1;\n } else {\n Log.d(TAG,\"Success, Row inserted into Table...\");\n return result;\n }\n\n }","title":""},{"docid":"d41f0534bc6fa6cc8700ba90fc87ba18","score":"0.46696988","text":"public void onCreate(@Nullable Bundle bundle) {\n getWindow().setFlags(1024, 1024);\n super.onCreate(bundle);\n }","title":""},{"docid":"59b6ef51e959de6e1c4233ac88bfebe5","score":"0.4669544","text":"public AuthUrlBuilder setFlags(String[] flags) {\n uriBuilder.appendQueryParameter(\"flags\", TextUtils.join(\" \", flags));\n return this;\n }","title":""},{"docid":"e0ddd722a91ec887820e31b424be7513","score":"0.46663302","text":"public void \naddToManifest(String x,String y, int flag)\n{\n}","title":""},{"docid":"c94f12c4fad814fd234aa66bc7c56199","score":"0.46624035","text":"private void launchOptions() {\n try {\n android.content.ComponentName toLaunch = new android.content.ComponentName(\"com.android.settings\",\n \"com.android.settings.SecuritySettings\");\n String param = Settings.ACTION_LOCATION_SOURCE_SETTINGS;\n\n final Intent intent = new Intent(param);\n intent.addCategory(Intent.CATEGORY_LAUNCHER);\n intent.setComponent(toLaunch);\n intent.setFlags(Intent.FLAG_ACTIVITY_NEW_TASK);\n startActivityForResult(intent, 0);\n } catch (Exception e) {\n showModalWindow(Database.ERROR_GPS_SETTINGS);\n }\n }","title":""}],"string":"[\n {\n \"docid\": \"8c442ab20b1ca9a3390c609175b42e66\",\n \"score\": \"0.5999389\",\n \"text\": \"void setFlags(String flags);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"92ed4fc8d3f24f0dc341f1e2a1e1bd16\",\n \"score\": \"0.5913234\",\n \"text\": \"private void customizeSettingValues(Context context, SharedPreferences sp) {\\r\\n //\\t\\t\\tfinal int customizationLevel = sp.getInt(CUSTOMIZATION_LEVEL, 0);\\r\\n //\\t\\t\\tif (customizationLevel < 1)\\r\\n //\\t\\t\\t{\\r\\n //\\t\\t\\t\\tEditor e = sp.edit();\\r\\n //\\t\\t\\t\\t\\r\\n //\\t\\t\\t\\te.putBoolean(context.getString(R.string.settings_key_lang_key_shows_popup), true);\\r\\n //\\t\\t\\t\\te.putBoolean(context.getString(R.string.settings_key_show_version_notification), false);\\r\\n //\\t\\t\\t\\te.putBoolean(context.getString(R.string.settings_key_use_16_keys_symbols_keyboards), true);\\r\\n //\\t\\t\\t\\te.putBoolean(context.getString(R.string.settings_key_landscape_fullscreen), true);\\r\\n//\\t\\t\\t\\te.putBoolean(context.getString(R.string.settings_key_portrait_fullscreen), true);\\r\\n //\\t\\t\\t\\t//enabling 16keys, disabling english\\r\\n //\\t\\t\\t\\te.putBoolean(\\\"keyboard_12335055-4aa6-49dc-8456-c7d38a1a5123\\\", true);\\r\\n //\\t\\t\\t\\te.putBoolean(\\\"keyboard_c7535083-4fe6-49dc-81aa-c5438a1a343a\\\", false);\\r\\n //\\t\\t\\t\\t\\r\\n //\\t\\t\\t\\t//enabling external Hebrew\\r\\n //\\t\\t\\t\\te.putBoolean(\\\"keyboard_8958fb12-6558-4e96-9aa6-0e90101570b3\\\", true);\\r\\n //\\t\\t\\t\\t\\r\\n //\\t\\t\\t\\t//sound on\\r\\n //\\t\\t\\t\\te.putBoolean(context.getString(R.string.settings_key_sound_on), true);\\r\\n //\\t\\t\\t\\t//custom volume: mid\\r\\n //\\t\\t\\t\\te.putBoolean(\\\"use_custom_sound_volume\\\", true);\\r\\n //\\t\\t\\t\\te.putInt(\\\"custom_sound_volume\\\", 50);\\r\\n //\\t\\t\\t\\t//vibrate on (hard)\\r\\n //\\t\\t\\t\\te.putString(context.getString(R.string.settings_key_vibrate_on_key_press_duration), \\\"50\\\");\\r\\n //\\t\\t\\t\\t//no RTL fixes\\r\\n //\\t\\t\\t\\te.putString(\\\"rtl_workaround_detection\\\", \\\"no_workaround\\\");\\r\\n //\\t\\t\\t\\t//no backword\\r\\n //\\t\\t\\t\\te.putBoolean(context.getString(R.string.settings_key_use_backword), false);\\r\\n //\\t\\t\\t\\t\\r\\n //\\t\\t\\t\\t//saving customization level\\r\\n //\\t\\t\\t\\te.putInt(CUSTOMIZATION_LEVEL, 1);\\r\\n //\\t\\t\\t\\te.commit();\\r\\n //\\t\\t\\t}\\r\\n \\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f44b2c0f34cdb8f040a590a34d5e37f\",\n \"score\": \"0.5563762\",\n \"text\": \"public void setFromSetting(boolean flag){\\r\\n editor = pref.edit();\\r\\n editor.putBoolean(\\\"isFromSetting\\\", flag);\\r\\n editor.commit();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"823d87359e9f9ec7235af1915bfe4938\",\n \"score\": \"0.55167955\",\n \"text\": \"public void setFlags(String flags) {\\n this.flags = flags;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4f646d5f10a7067911cc2c2fb9cc8223\",\n \"score\": \"0.5504129\",\n \"text\": \"private static Bundle getBarcodeSetting(final boolean enabled) {\\n final Bundle extras = new Bundle();\\n extras.putBoolean(Intents.EXTRA_START_SCAN, enabled);\\n extras.putBoolean(Intents.EXTRA_SHOW_PREVIEW, enabled);\\n extras.putBoolean(Intents.EXTRA_SHOW_MERCHANT_PREVIEW, enabled);\\n extras.putBoolean(Intents.EXTRA_LED_ON, false);\\n return extras;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f843c818df556fbadeeed161e3015dcc\",\n \"score\": \"0.54024565\",\n \"text\": \"private CustomizationOptionsBundle() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6838032e13a74e4f5c610fe8c042085e\",\n \"score\": \"0.5368242\",\n \"text\": \"public void setBundled(Boolean bundled) {\\r\\n this.bundled = bundled;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c44495f61abf229338393ce190a9ff1a\",\n \"score\": \"0.5347852\",\n \"text\": \"void settings();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa533ce48ef71560ba4b3089e4b7035f\",\n \"score\": \"0.53412986\",\n \"text\": \"void mo1707a(Bundle bundle);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2039bc61285a82a800e8c784095069b9\",\n \"score\": \"0.5327872\",\n \"text\": \"@Override\\r\\n\\tpublic void setArguments(Bundle args) {\\n\\t\\tsuper.setArguments(args);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b91bf0ac974784a5171b9be83a351908\",\n \"score\": \"0.5303747\",\n \"text\": \"public void setBundleContext(BundleContext bundleContext);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"95fa2a2aac1a5acf9991d68818ea83cd\",\n \"score\": \"0.52714974\",\n \"text\": \"private void readArgumentsBundle(Bundle bundle)\\n {\\n if(bundle != null)\\n {\\n this.customMapMarker = bundle.getParcelable(AppConfiguration.BUNDLE_TAG_CUSTOM_MAP_MARKER);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a149a4a23510803fc570eba3782f93de\",\n \"score\": \"0.5249058\",\n \"text\": \"@Override\\n public void onCreate(Bundle savedInstanceState) {\\n super.onCreate(savedInstanceState);\\n Bundle bundle = this.getArguments();\\n if(bundle != null){\\n list = bundle.getStringArrayList(\\\"content\\\");\\n flag = bundle.getInt(\\\"flag\\\");\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d1c6f0d2f84fa853b92af675744d886\",\n \"score\": \"0.52449024\",\n \"text\": \"public void setFlags(int flags) {\\n this.flags = flags;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3705295546a43d70514006894fb108a6\",\n \"score\": \"0.52427846\",\n \"text\": \"protected void addExtraFlags(BlazeCommand.Builder commandBuilder) {}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f8dc0c4a3e1b15dd5258c1631c854c1c\",\n \"score\": \"0.5223474\",\n \"text\": \"@Override\\n protected void onCreate(Bundle savedInstanceState) {\\n super.onCreate(savedInstanceState);\\n setContentView(R.layout.activity_flappy_setting);\\n\\n settingIntent = getIntent();\\n gameStatus = settingIntent.getParcelableExtra(\\\"gamer\\\");\\n setUpEasyBtn();\\n setUpHardBtn();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c7d80c96632ec2578a501e87c48b9dcc\",\n \"score\": \"0.52173096\",\n \"text\": \"public void loadSettings(){\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7702df7d839d1a7e9463eaa122612667\",\n \"score\": \"0.5175953\",\n \"text\": \"@Override\\r\\n protected void loadSettings()\\r\\n {\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e7c45b86dea51061ea8fe6f3afdede72\",\n \"score\": \"0.51728415\",\n \"text\": \"private void saveSettings()\\n {\\n settingsSave.putBoolean(\\\"UseBLE\\\", appUseBLE);\\n settingsSave.putBoolean(\\\"UseBT21\\\", appUseBT21);\\n settingsSave.putBoolean(\\\"IgnoreJ1939\\\", appIgnoreJ1939);\\n settingsSave.putBoolean(\\\"IgnoreJ1708\\\", appIgnoreJ1708);\\n settingsSave.putBoolean(\\\"IgnoreOBD2\\\", appIgnoreOBD2);\\n settingsSave.putBoolean(\\\"PerformanceMode\\\", appPerformanceMode);\\n settingsSave.putBoolean(\\\"DisconnectedReboot\\\", appDisconnectedReboot);\\n settingsSave.putInt(\\\"DisconnectedRebootInterval\\\", appDisconnectedRebootInterval);\\n settingsSave.putBoolean(\\\"SendAllPackets\\\", appSendAllPackets);\\n settingsSave.putBoolean(\\\"SecureDevice\\\", appSecureDevice);\\n settingsSave.putBoolean(\\\"SecureAdapter\\\", appSecureAdapter);\\n settingsSave.putBoolean(\\\"ConnectToLastAdapter\\\", appConnectToLastAdapter);\\n settingsSave.putString(\\\"DeviceId\\\", appDeviceId);\\n settingsSave.putString(\\\"AdapterId\\\", appAdapterId);\\n settingsSave.putString(\\\"UserName\\\", appUserName);\\n settingsSave.putString(\\\"Password\\\", appPassword);\\n settingsSave.putInt(\\\"LedBrightness\\\", appLedBrightness);\\n settingsSave.putInt(\\\"MinInterval\\\", appMinInterval);\\n settingsSave.putInt(\\\"DiscoveryTimeout\\\", appDiscoveryTimeout);\\n settingsSave.putInt(\\\"MaxConnectAttempts\\\", appMaxConnectAttempts);\\n settingsSave.putInt(\\\"MaxReconnectAttempts\\\", appMaxReconnectAttempts);\\n settingsSave.putInt(\\\"BluetoothRecycleAttempt\\\", appBluetoothRecycleAttempt);\\n settingsSave.putInt(\\\"BleDisconnectWaitTime\\\", appBleDisconnectWaitTime);\\n settingsSave.putBoolean(\\\"OptimizeDataRetrieval\\\", appOptimizeDataRetrieval);\\n\\n settingsSave.putBoolean(\\\"ELDStarted\\\", appELDStarted);\\n settingsSave.putBoolean(\\\"SecureELD\\\", appSecureELD);\\n settingsSave.putBoolean(\\\"RecordIFTA\\\", appRecordIFTA);\\n settingsSave.putBoolean(\\\"RecordStats\\\", appRecordStats);\\n settingsSave.putBoolean(\\\"AlignELD\\\", appAlignELD);\\n settingsSave.putBoolean(\\\"AlignIFTA\\\", appAlignIFTA);\\n settingsSave.putBoolean(\\\"AlignStats\\\", appAlignStats);\\n settingsSave.putBoolean(\\\"StreamingELD\\\", appStreamingELD);\\n settingsSave.putInt(\\\"RecordingMode\\\", appRecordingMode);\\n settingsSave.putString(\\\"DriverId\\\", appDriverId);\\n settingsSave.putString(\\\"ELDAdapterId\\\", appELDAdapterId);\\n settingsSave.putFloat(\\\"ELDInterval\\\", appELDInterval); // minutes;\\n settingsSave.putFloat(\\\"IFTAInterval\\\", appIFTAInterval); // minutes;\\n settingsSave.putFloat(\\\"StatsInterval\\\", appStatsInterval); // minutes;\\n\\n settingsSave.commit();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2651ed28647fa9c51a1482bf37c2362a\",\n \"score\": \"0.5112899\",\n \"text\": \"public void onCreate(Bundle bundle) {\\n super.onCreate(bundle);\\n this.mPermissionName = getIntent().getStringExtra(\\\"com.android.settings.extra.REQUESTIING_PERMISSION\\\");\\n this.mDebuggableOnly = getIntent().getBooleanExtra(\\\"com.android.settings.extra.DEBUGGABLE\\\", false);\\n this.mNonSystemOnly = getIntent().getBooleanExtra(\\\"com.android.settings.extra.NON_SYSTEM\\\", false);\\n this.mIncludeNothing = getIntent().getBooleanExtra(\\\"com.android.settings.extra.INCLUDE_NOTHING\\\", true);\\n AppListAdapter appListAdapter = new AppListAdapter(this);\\n this.mAdapter = appListAdapter;\\n if (appListAdapter.getCount() <= 0) {\\n setResult(-2);\\n finish();\\n return;\\n }\\n setListAdapter(this.mAdapter);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ae1991023590be7f9dc9d7aaf6ee717b\",\n \"score\": \"0.51072097\",\n \"text\": \"@Override\\n public void setBasicInfo(Bundle savedInstanceState) {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"96155a812c6eb1591191b8bf11f1367e\",\n \"score\": \"0.510675\",\n \"text\": \"public static void setInLinkedAppFlag(Context context, boolean flag){\\r\\n\\t\\t_debug = Log.getDebug();\\r\\n\\t\\tif (_debug) Log.v(\\\"Common.setInLinkedAppFlag() Flag: \\\" + flag);\\r\\n\\t\\tSharedPreferences.Editor editor = PreferenceManager.getDefaultSharedPreferences(context).edit();\\r\\n\\t\\teditor.putBoolean(Constants.USER_IN_LINKED_APP_KEY, flag);\\r\\n\\t\\teditor.commit();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0a19b135dc9978ef90dafc008a55854e\",\n \"score\": \"0.50902325\",\n \"text\": \"public void start(BundleContext context) {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1edc0dbeca21349325f565de3c309fdc\",\n \"score\": \"0.5086813\",\n \"text\": \"private void showSettings() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"50f68523b4587fd23b2c76d3c848a2a2\",\n \"score\": \"0.5072325\",\n \"text\": \"public BundleOption() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"236f4a9f97371c27a3f9aa492fb69fc7\",\n \"score\": \"0.50586724\",\n \"text\": \"private native void addFlagPropertyValue(long property, int flag);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"37c1f309ba6c206cbcfb6a2d977bdd26\",\n \"score\": \"0.5057068\",\n \"text\": \"private void applySettingsMenuDialogCheckboxes() {\\n depthSettings.setUseDepthForOcclusion(depthSettingsMenuDialogCheckboxes[0]);\\n depthSettings.setDepthColorVisualizationEnabled(depthSettingsMenuDialogCheckboxes[1]);\\n instantPlacementSettings.setInstantPlacementEnabled(\\n instantPlacementSettingsMenuDialogCheckboxes[0]);\\n configureSession();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7ce4d76c326e27f10c78a1c771761573\",\n \"score\": \"0.50556135\",\n \"text\": \"public void doSettings ();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"16a88b737f6411bc9f0a4d99770df129\",\n \"score\": \"0.50525075\",\n \"text\": \"public interface Bundles {\\r\\n\\r\\n /**\\r\\n * Holds a constant for a bundle key, which holds a value of a search radius.\\r\\n */\\r\\n public static final String SEARCH_RADIUS = \\\"search_radius_value\\\";\\r\\n\\r\\n /**\\r\\n * Holds a constant for a bundle key, which holds an object of a place type.\\r\\n */\\r\\n public static final String PLACE_TYPE = \\\"place_type_object\\\";\\r\\n\\r\\n /**\\r\\n * Holds a constant for a bundle key, which holds an array of marked places on the map.\\r\\n */\\r\\n public static final String MARKED_PLACES_LIST = \\\"marked_places_list\\\";\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8d4ece7d97c77e544c3dd6a0da52e55c\",\n \"score\": \"0.50352144\",\n \"text\": \"public boolean enabledIn(int flags);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dc7da9a32d316ff28627c7570369eb47\",\n \"score\": \"0.5031243\",\n \"text\": \"private void initAppSettings() {\\n GameSettings localSettings = new GameSettings();\\n initSettings(localSettings);\\n settings = localSettings.toReadOnly();\\n\\n FXGL.setSettings(settings);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"894888c1688c59810b7f67985ff15b18\",\n \"score\": \"0.50311697\",\n \"text\": \"@Override\\r\\n protected void initSettings(GameSettings settings) {\\r\\n settings.setTitle(\\\"JavaFX performance test - \\\" + numberOfItems + \\\" items - \\\");\\r\\n settings.setProfilingEnabled(true);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1a3fd80b43f6c9ea77b5a1b12a1b205\",\n \"score\": \"0.5029519\",\n \"text\": \"public void setIsMenuAssets (boolean IsMenuAssets)\\n{\\nset_Value (\\\"IsMenuAssets\\\", new Boolean(IsMenuAssets));\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f19b0b115783bed82d66a4b9268834e3\",\n \"score\": \"0.5020926\",\n \"text\": \"public abstract void settings();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"469f1efea85b8b4404eaa5e0c43aab10\",\n \"score\": \"0.49963364\",\n \"text\": \"void bundleTransmission(Bundle bundle);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b05f4809ca4a5cdbfd1c7bff1cfafde3\",\n \"score\": \"0.49944764\",\n \"text\": \"public void storeSettings(){\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d28b2722990f1078e8c906f0a64f6832\",\n \"score\": \"0.49794373\",\n \"text\": \"void setPreferences() ;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e4725c313511f7c37fda5185000e2641\",\n \"score\": \"0.49640676\",\n \"text\": \"private void initGeneralTab(){\\r\\n\\r\\n confirmExitCheckBox.setSelected(\\r\\n Boolean.valueOf(preferences.getProperty(\\\"confirmBeforeExit\\\")).booleanValue());\\r\\n overlayCheckBox.setSelected(\\r\\n Boolean.valueOf(preferences.getProperty(\\\"automaticallyOverlay\\\")).booleanValue());\\r\\n legendCheckBox.setSelected(\\r\\n Boolean.valueOf(preferences.getProperty(\\\"automaticallyShowLegend\\\")).booleanValue());\\r\\n openedDirCheckBox.setSelected(\\r\\n Boolean.valueOf(preferences.getProperty(\\\"useDirectoryLastOpenedFile\\\")).booleanValue());\\r\\n exportDirCheckBox.setSelected(\\r\\n Boolean.valueOf(preferences.getProperty(\\\"useDirectoryLastExportedFile\\\")).booleanValue());\\r\\n sidePanelCheckBox.setSelected(\\r\\n Boolean.valueOf(preferences.getProperty(\\\"showSidePanel\\\")).booleanValue());\\r\\n toolbarCheckBox.setSelected(\\r\\n Boolean.valueOf(preferences.getProperty(\\\"showToolBar\\\")).booleanValue());\\r\\n gridCheckBox.setSelected(\\r\\n Boolean.valueOf(preferences.getProperty(\\\"showGrid\\\")).booleanValue());\\r\\n coordinatesCheckBox.setSelected(\\r\\n Boolean.valueOf(preferences.getProperty(\\\"showCoordinates\\\")).booleanValue());\\r\\n scaleCheckBox.setSelected(\\r\\n Boolean.valueOf(preferences.getProperty(\\\"showScale\\\")).booleanValue());\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3535dbff07ef1228219d05caa4d34422\",\n \"score\": \"0.49526414\",\n \"text\": \"public ItemFactory setFlags(ItemFlag...flags) {\\n ItemMeta itemMeta = this.itemStack.getItemMeta();\\n itemMeta.addItemFlags(flags);\\n this.itemStack.setItemMeta(itemMeta);\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"004816e6f68434f35a3a8503e467d987\",\n \"score\": \"0.49038514\",\n \"text\": \"private void saveSettings() {\\n SkedsApplication app = (SkedsApplication) getApplication();\\n app.setNotifySound(checkboxSound.isChecked());\\n app.setNotifyVibrate(checkboxVibrate.isChecked());\\n app.setSavePhotosLocally(checkboxSavePhotos.isChecked());\\n app.setLineItemsMode(itemMode);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"11f7f38987a24cbace5d6dd7e7daed9f\",\n \"score\": \"0.49028146\",\n \"text\": \"@Override\\n\\tprotected void onCreate(Bundle savedInstanceState) {\\n\\t\\toverridePendingTransition(R.anim.slideinright, R.anim.slideoutleft);\\n\\t\\tsetTheme(R.style.perference_set_activity);\\n\\t\\tsuper.onCreate(savedInstanceState);\\n\\t\\taddPreferencesFromResource(R.xml.setting_preference);\\n\\t\\t// lLanguageKey =\\n\\t\\t// getResources().getString(R.string.setting_listpreference_choselanguage);\\n\\t\\tcTranslateKey = getResources().getString(R.string.setting_checkboxpreference_translate);\\n\\t\\tcAutoPlayKey = getResources().getString(R.string.setting_checkboxpreference_autoplay);\\n\\t\\tcTTSKey = getResources().getString(R.string.setting_checkboxpreference_tts);\\n\\t\\tcAutoJumpKey = getResources().getString(R.string.setting_checkboxpreference_autojump);\\n\\t\\tcBackRunKey = getResources().getString(R.string.setting_checkboxpreference_run);\\n\\t\\tcTranslatetalkKey = getResources().getString(R.string.setting_checkboxpreference_translatetalk);\\n\\t\\tcBLClickRecordKey = getResources().getString(R.string.setting_checkboxpreference_longclickrecord);\\n\\t\\t// eNikiNameKey =\\n\\t\\t// getResources().getString(R.string.setting_edittextpreference_nikename);\\n\\t\\t// lFrontSizeKey =\\n\\t\\t// getResources().getString(R.string.setting_listpreference_fontsize);\\n\\t\\t// lTTSSexKey =\\n\\t\\t// getResources().getString(R.string.setting_listpreference_ttssex);\\n\\t\\t// lTTSSpeedKey =\\n\\t\\t// getResources().getString(R.string.setting_listpreference_ttsspeed);\\n\\n\\t\\t// eNikiName = (EditTextPreference) findPreference(eNikiNameKey);\\n\\t\\t// lLanguage = (ListPreference) findPreference(lLanguageKey);\\n\\t\\tcTranslate = (CheckBoxPreference) findPreference(cTranslateKey);\\n\\t\\tcTranslatetalk = (CheckBoxPreference) findPreference(cTranslatetalkKey);\\n\\t\\tcAutoPlay = (CheckBoxPreference) findPreference(cAutoPlayKey);\\n\\t\\tcTTS = (CheckBoxPreference) findPreference(cTTSKey);\\n\\t\\tcAutoJump = (CheckBoxPreference) findPreference(cAutoJumpKey);\\n\\t\\tcBackRun = (CheckBoxPreference) findPreference(cBackRunKey);\\n\\t\\tcBLClickRecord = (CheckBoxPreference) findPreference(cBLClickRecordKey);\\n\\t\\t// lFrontSize = (ListPreference) findPreference(lFrontSizeKey);\\n\\t\\t// lTTSSex = (ListPreference) findPreference(lTTSSexKey);\\n\\t\\t// lTTSSpeed = (ListPreference) findPreference(lTTSSpeedKey);\\n\\n\\t\\t// eNikiName.setText(mUser.getUserName());\\n\\n\\t\\t// eNikiName.setOnPreferenceClickListener(this);\\n\\t\\t// eNikiName.setOnPreferenceChangeListener(this);\\n\\t\\t// lLanguage.setOnPreferenceClickListener(this);\\n\\t\\t// lLanguage.setOnPreferenceChangeListener(this);\\n\\t\\tcTranslate.setOnPreferenceClickListener(this);\\n\\t\\tcTranslate.setOnPreferenceChangeListener(this);\\n\\t\\tcTranslatetalk.setOnPreferenceClickListener(this);\\n\\t\\tcTranslatetalk.setOnPreferenceChangeListener(this);\\n\\t\\tcAutoPlay.setOnPreferenceClickListener(this);\\n\\t\\tcAutoPlay.setOnPreferenceChangeListener(this);\\n\\t\\tcTTS.setOnPreferenceClickListener(this);\\n\\t\\tcTTS.setOnPreferenceChangeListener(this);\\n\\t\\tcAutoJump.setOnPreferenceClickListener(this);\\n\\t\\tcAutoJump.setOnPreferenceChangeListener(this);\\n\\t\\tcBackRun.setOnPreferenceChangeListener(this);\\n\\t\\tcBLClickRecord.setOnPreferenceChangeListener(this);\\n\\t\\t// lFrontSize.setOnPreferenceChangeListener(this);\\n\\t\\t// lFrontSize.setOnPreferenceClickListener(this);\\n\\t\\t// lTTSSex.setOnPreferenceChangeListener(this);\\n\\t\\t// lTTSSex.setOnPreferenceClickListener(this);\\n\\t\\t// lTTSSpeed.setOnPreferenceChangeListener(this);\\n\\t\\t// lTTSSpeed.setOnPreferenceClickListener(this);\\n\\n\\t\\tmMain = InterpretActivity.getInstance();\\n\\t\\tprefs = PreferenceManager.getDefaultSharedPreferences(this);\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1d025cf49e77b17274f4c98e7fa9e36\",\n \"score\": \"0.48974544\",\n \"text\": \"@Override\\r\\n protected void onCreate(Bundle savedInstanceState) {\\n super.onCreate(savedInstanceState);\\r\\n addPreferencesFromResource(R.layout.menu_setting);\\r\\n \\r\\n saveUserLog(0);\\r\\n \\r\\n initValueOfDisplayImage = GeneralUtil.needDisplayImg(this);\\r\\n initValueOfRecommendAppNotificattion = GeneralUtil.needShowRecommendAppNotificattion(this);\\r\\n initValueOfVoiceNotificattion = GeneralUtil.needVoiceNotificattion(this);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"304756acec47b9f1169bb1b3adb0d936\",\n \"score\": \"0.4890678\",\n \"text\": \"protected void openBundle(Bundle bundle){\\n //TODO - handle saved instance states from bundle\\n //set saved instance state data\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3004e5290847570e73d2e4dfa1ddf452\",\n \"score\": \"0.4880394\",\n \"text\": \"BundleAdapterBuilder mask(int mask);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6aec7eb82c2dcd77521d62cd4cf060a9\",\n \"score\": \"0.48766282\",\n \"text\": \"public void setSettings(){\\r\\n\\t\\tsetMenu(3);\\r\\n\\t\\taddObject(new SettingsMenu((getGameWidth()/2) - (menuButtonsWidth/2), getGameHeight()/6, menuButtonsWidth, menuButtonsHeight, this, ObjectId.SettingsMenu));\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"54f97594fe98679b2e3b1a165b6af88c\",\n \"score\": \"0.4874454\",\n \"text\": \"@Override\\n\\tpublic void onCreate(Bundle savedInstanceState) {\\n\\t\\tsuper.onCreate(savedInstanceState);\\n\\t\\tthis.optType = getArguments().getString(\\\"optype\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1146ed0f53c182d18d5968bd05d8bb8b\",\n \"score\": \"0.48731595\",\n \"text\": \"protected abstract void createSettingsComponents();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1c8a23b652942a2c133a1d7dd48b4fd6\",\n \"score\": \"0.4864835\",\n \"text\": \"private static void setPlatformResources(ResourceBundle bundle) {\\n platformResources = bundle;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"84066a0fc7cc0c61435c8c0617ac5bda\",\n \"score\": \"0.48473346\",\n \"text\": \"private void Configuration() {\\n\\t\\tIntent intent = new Intent(this, UserPref.class);\\n\\t\\tstartActivity(intent);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ddacdbcfe64cdb4b7d3b573c4cc30041\",\n \"score\": \"0.48466542\",\n \"text\": \"@Override\\r\\n public void onCreate(Bundle savedInstanceState ) {\\r\\n \\r\\n \\tsuper.onCreate(savedInstanceState);\\r\\n\\t\\tsetContentView(R.layout.settings);\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c3e982b97e59cbda4eb67292bca24ea5\",\n \"score\": \"0.48430336\",\n \"text\": \"@Override\\n public void onClick(View v) {\\n int settings = createSettings();\\n //Log.i(\\\"Setting num: \\\", Integer.toString(settings));\\n Intent applyIntent = new Intent(getApplicationContext(), MainActivity.class);\\n applyIntent.putExtra(\\\"applyIntent\\\", settings);\\n startActivity(applyIntent);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"570fd3a7a2eded3119b68db715469207\",\n \"score\": \"0.48404965\",\n \"text\": \"@Override\\n public void onCreatePreferences(Bundle bundle, String s) {\\n addPreferencesFromResource(R.xml.pref_visualizer);\\n\\n SharedPreferences sharedPreferences = getPreferenceScreen().getSharedPreferences();\\n PreferenceScreen prefScreen = getPreferenceScreen();\\n int count = prefScreen.getPreferenceCount();\\n\\n // Go through all of the preferences, and set up their preference summary.\\n for (int i = 0; i < count; i++) {\\n androidx.preference.Preference p = prefScreen.getPreference(i);\\n // You don't need to set up preference summaries for checkbox preferences because\\n // they are already set up in pref_visualizer using summaryOff and summary On\\n String value = sharedPreferences.getString(p.getKey(), \\\"\\\");\\n setPreferenceSummary(p, value);\\n }\\n\\n // COMPLETED (3) Add the OnPreferenceChangeListener specifically to the EditTextPreference\\n // Add the preference listener which checks that the size is correct to the size preference\\n androidx.preference.Preference preference = findPreference(getString(R.string.pref_size_key));\\n preference.setOnPreferenceChangeListener((androidx.preference.Preference.OnPreferenceChangeListener) this);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"67d2510ea33402a140d56f714a59b3e6\",\n \"score\": \"0.4826875\",\n \"text\": \"public static void setInQuickReplyAppFlag(Context context, boolean flag){\\r\\n\\t\\t_debug = Log.getDebug();\\r\\n\\t\\tif (_debug) Log.v(\\\"Common.setInQuickReplyAppFlag() Flag: \\\" + flag);\\r\\n\\t\\tSharedPreferences.Editor editor = PreferenceManager.getDefaultSharedPreferences(context).edit();\\r\\n\\t\\teditor.putBoolean(Constants.USER_IN_QUICK_REPLY_APP_KEY, flag);\\r\\n\\t\\teditor.commit();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d8423cc8ed53b47c218d14348b93743d\",\n \"score\": \"0.48172462\",\n \"text\": \"private void getIntentBundle() {\\n Intent intent = getIntent();\\n Bundle args;\\n args = intent.getBundleExtra(\\\"bundleSS\\\");\\n oldTitreStr=args.getString(\\\"oldTitre\\\");\\n oldGroupeStr=args.getString(\\\"oldGroupe\\\");\\n oldDurationInt=args.getInt(\\\"oldDuration\\\");\\n idSS=args.getString(\\\"idSS\\\");\\n Log.d(TAG, \\\"MSSD getIntentBundle: \\\"+oldTitreStr+\\\" \\\"+oldGroupeStr+\\\" \\\"+oldDuration+\\\" \\\"+idSS);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f9bebace74631795a1296e6aa1899dff\",\n \"score\": \"0.4810571\",\n \"text\": \"@Override\\n\\tprotected void onCreate(Bundle savedInstanceState) {\\n\\t\\tsuper.onCreate(savedInstanceState);\\n\\t\\tsetContentView(R.layout.settings);\\n\\t\\t\\n\\t\\tcreateAllObjects();\\n\\t\\t\\n\\t\\tcheckNotificationActivity.setOnClickListener(new View.OnClickListener() {\\n\\t\\t\\t\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void onClick(View v) {\\n\\t\\t\\t\\t// TODO Auto-generated method stub\\n\\t\\t\\t\\tdisplayNotificationActivity.setText(\\\"Ειδοποίηση(Ανενεργή)\\\");\\n\\t\\t\\t}\\n\\t\\t});\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dcdbbea6a8c5d740a5aa46784e4090cc\",\n \"score\": \"0.4794666\",\n \"text\": \"public void setServiceFactory(boolean bool);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"365ebe1549e8b493e37ba825f9386a59\",\n \"score\": \"0.47912192\",\n \"text\": \"BundleAdapterBuilder add(InstanceCbBundleComponent add);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9adce9dccb167cad117dbbe7d47677aa\",\n \"score\": \"0.4790756\",\n \"text\": \"@Override\\n\\tprotected void onCreate(Bundle savedInstanceState) {\\n\\t\\tsuper.onCreate(savedInstanceState);\\n\\t\\ttools = new Tools(AccountSettingsActivity.this, Constants.AC);\\n\\t\\toptionsSquare = new DisplayImageOptions.Builder()\\n\\t\\t\\t\\t.showImageOnLoading(R.drawable.men_defult)\\n\\t\\t\\t\\t.showImageForEmptyUri(R.drawable.men_defult)\\n\\t\\t\\t\\t.showImageOnFail(R.drawable.men_defult)\\n\\t\\t\\t\\t.resetViewBeforeLoading(true).cacheOnDisk(true)\\n\\t\\t\\t\\t.considerExifParams(true).cacheInMemory(true)\\n\\t\\t\\t\\t.imageScaleType(ImageScaleType.EXACTLY)\\n\\t\\t\\t\\t.bitmapConfig(Bitmap.Config.RGB_565)\\n\\t\\t\\t\\t.displayer(new FadeInBitmapDisplayer(300)).build();\\n\\t\\toptionsSquare2 = new DisplayImageOptions.Builder()\\n\\t\\t.showImageOnLoading(R.drawable.women_defult)\\n\\t\\t.showImageForEmptyUri(R.drawable.women_defult)\\n\\t\\t.showImageOnFail(R.drawable.women_defult)\\n\\t\\t.resetViewBeforeLoading(true).cacheOnDisk(true)\\n\\t\\t.considerExifParams(true).cacheInMemory(true)\\n\\t\\t.imageScaleType(ImageScaleType.EXACTLY)\\n\\t\\t.bitmapConfig(Bitmap.Config.RGB_565)\\n\\t\\t.displayer(new FadeInBitmapDisplayer(300)).build();\\n\\t\\t\\n\\t\\tsetContentView(R.layout.account_settings_activity);\\n\\t\\tplistId = tools.getValue(Constants.PJOB);\\n\\t\\taId = tools.getValue(Constants.AJOB);\\n\\t\\thId = tools.getValue(Constants.HOSPITAL_JOB);\\n\\t\\tgetSexList();\\n\\t\\tinitMyHandler();\\n\\t\\tinitView();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3133232e47df1d300d3aceea74561573\",\n \"score\": \"0.47900313\",\n \"text\": \"BundleAdapterBuilder propagate();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7a04a616b636e4546e1851c02037e42b\",\n \"score\": \"0.47893298\",\n \"text\": \"public void addActivatedFlag( String flag ) {\\n\\n allFlagsVars.add( flag );\\n actionsValues.add( ACTIVATE );\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8e2535b4af42c9bfbc80918229a5181d\",\n \"score\": \"0.4787327\",\n \"text\": \"public static void initPrefs(){\\n prefs = Gdx.app.getPreferences(\\\"com.java4game.blockmover\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ec83039012d41b29a83e627ab5bfd347\",\n \"score\": \"0.47873008\",\n \"text\": \"public interface InitBundle {\\n String ARTICLE_ID = \\\"article_id\\\";\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"069acf580db8c98c06d838b24a37adae\",\n \"score\": \"0.47828543\",\n \"text\": \"public static LaunchPoint createSettingsList() {\\n Intent mainIntent = new Intent();\\n // mainIntent.addCategory(\\\"android.intent.category.LEANBACK_SETTINGS\\\");\\n LaunchPoint settingsItems = null;\\n PackageManager pkgMan = CommonValues.application.getPackageManager();\\n List<ResolveInfo> rawLaunchPoints = pkgMan.queryIntentActivities(mainIntent, 129);\\n HashMap<ComponentName, Integer> specialEntries = new HashMap();\\n for (int i = 0; i < sSpecialSettingsActions.length; i++) {\\n specialEntries.put(getComponentNameForSettingsActivity(sSpecialSettingsActions[i]), Integer.valueOf(i));\\n }\\n int size = rawLaunchPoints.size();\\n for (int ptr = 0; ptr < size; ptr++) {\\n ResolveInfo info = (ResolveInfo) rawLaunchPoints.get(ptr);\\n boolean system = (info.activityInfo.applicationInfo.flags & 1) != 0;\\n ComponentName comp = getComponentName(info);\\n int type = -1;\\n if (specialEntries.containsKey(comp)) {\\n type = ((Integer) specialEntries.get(comp)).intValue();\\n }\\n if (info.activityInfo != null && system) {\\n if (info.activityInfo.packageName.equals(\\\"com.android.tv.settings\\\") && info.activityInfo.name.equals(\\\"com.android.tv.settings.device.display.DisplayActivity\\\")) {\\n LaunchPoint lp = new LaunchPoint(CommonValues.application, pkgMan, info, false, type);\\n lp.addLaunchIntentFlags(32768);\\n settingsItems = lp;\\n }\\n }\\n }\\n return settingsItems;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7d23d0891de5b3ac8b221d866f33569b\",\n \"score\": \"0.4778502\",\n \"text\": \"@Override\\n\\tprotected void onCreate(Bundle savedInstanceState) {\\n\\t\\tsuper.onCreate(savedInstanceState);\\n\\t\\tsetContentView(R.layout.activity_setting);\\n\\t\\t\\n\\t\\t//id = getIntent().getIntExtra(\\\"id\\\", 0);\\n\\t\\t\\n\\t\\tinit();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5aa14ab678d43a54483af5530d18dd29\",\n \"score\": \"0.47776556\",\n \"text\": \"@Override\\n\\tprotected void onCreate(Bundle savedInstanceState) {\\n\\t\\tsuper.onCreate(savedInstanceState);\\n\\t\\trequestWindowFeature(Window.FEATURE_NO_TITLE);\\n\\t\\tgetWindow().setFlags(WindowManager.LayoutParams.FLAG_FULLSCREEN,\\n\\t\\t\\t\\tWindowManager.LayoutParams.FLAG_FULLSCREEN);\\n\\t\\tsetContentView(R.layout.settings);\\n\\t\\tmGo = (Button) findViewById(R.id.go_btn);\\n\\t\\tmRestart = (Button) findViewById(R.id.restart_game);\\n\\t\\tmHistory = (Button) findViewById(R.id.historys);\\n\\t\\tmSoundEffect = (Button) findViewById(R.id.sound_effects);\\n\\t\\tmSave = (Button) findViewById(R.id.settings_save);\\n\\t\\tmLoad = (Button) findViewById(R.id.settings_load);\\n\\t\\tmGetApps = (Button) findViewById(R.id.install_apps);\\n\\t\\tmGetGames = (Button) findViewById(R.id.install_games);\\n\\t\\t\\n\\t\\tmGo.setOnClickListener(this);\\n\\t\\tmRestart.setOnClickListener(this);\\n\\t\\tmHistory.setOnClickListener(this);\\n\\t\\tmSoundEffect.setOnClickListener(this);\\n\\t\\tmSave.setOnClickListener(this);\\n\\t\\tmLoad.setOnClickListener(this);\\n\\t\\tmGetApps.setOnClickListener(this);\\n\\t\\tmGetGames.setOnClickListener(this);\\n\\t\\t\\n\\t\\tif (!showAds()) {\\n\\t\\t\\tmGetApps.setVisibility(View.GONE);\\n\\t\\t\\tmGetGames.setVisibility(View.GONE);\\n\\t\\t}\\n\\t\\t\\n\\t\\tmGameManager = GameManager.getInstance(this);\\n\\t\\tsetSoundText(mGameManager.isSoundOn());\\n\\t\\t\\n\\t\\tmCommand = RESULT_COMMAND_UNKNOWN;\\n\\t\\tmResult = new Bundle();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9930e0df55accb7a247ff4a6995d8f23\",\n \"score\": \"0.47763276\",\n \"text\": \"public\\n void setEnabled(Map mapEnabledFlags)\\n {\\n if(mapEnabledFlags == null) {\\n return;\\n }\\n \\n Iterator oItEntry = mapEnabledFlags.entrySet().iterator();\\n while(oItEntry.hasNext()) {\\n Map.Entry entry = (Map.Entry) oItEntry.next();\\n String sMenuItem = (String) entry.getKey();\\n boolean boEnabled = false;\\n Object oEnabled = entry.getValue();\\n if(oEnabled instanceof String) {\\n String s = (String) oEnabled;\\n boEnabled = !s.startsWith(\\\"0\\\") && !s.startsWith(\\\"N\\\");\\n }\\n else\\n if(oEnabled instanceof Integer) {\\n boEnabled = ((Integer) oEnabled).intValue() != 0;\\n }\\n else\\n if(oEnabled instanceof Boolean) {\\n boEnabled = ((Boolean) oEnabled).booleanValue();\\n }\\n \\n Map mapMenuItemInfo = (Map) mapItems.get(sMenuItem);\\n if(mapMenuItemInfo == null) {\\n continue;\\n }\\n setMenuItemEnabled(mapMenuItemInfo, boEnabled);\\n }\\n \\n for(int i = 0; i < listMenu.size(); i++) {\\n Map mapMenuInfo = (Map) listMenu.get(i);\\n if(isAllMenuItemsDisabled(mapMenuInfo)) {\\n setMenuEnabled(mapMenuInfo, false);\\n }\\n else {\\n setMenuEnabled(mapMenuInfo, true);\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c0ac8c908798642fcb2553e95fb9e65a\",\n \"score\": \"0.4771129\",\n \"text\": \"private void doStartSettings() {\\n \\t\\tsetGroesse(false);\\n\\t\\tchangeFPS(settings.getFPS());\\n\\t\\tsound.setMusicAndSound();\\n\\t\\tswitchColor(settings.isColorOn());\\n\\t\\tBlood.setBloodOn(settings.isBloodOn());\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f03a9291f3ef7dbcf9d53ef4f838e0a0\",\n \"score\": \"0.4768644\",\n \"text\": \"void configureAllLabels(BundleContext context);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e26389374cc388ef2f99f31d942e5bfb\",\n \"score\": \"0.47653857\",\n \"text\": \"private void _chooseIntoolsSettings()\\n {\\n int settingType;\\n \\n for (TagSetting setting : intoolsSettings)\\n {\\n settingType = setting.getTypeId();\\n \\n if (settingType == SettingsTypes.ALARM_LL_SETTING.ID) chosenIntoolsAlarmLL = setting;\\n if (settingType == SettingsTypes.ALARM_L_SETTING.ID) chosenIntoolsAlarmL = setting;\\n if (settingType == SettingsTypes.ALARM_H_SETTING.ID) chosenIntoolsAlarmH = setting;\\n if (settingType == SettingsTypes.ALARM_HH_SETTING.ID) chosenIntoolsAlarmHH = setting;\\n }// for\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d55a537a1c70e31e8aa4945ed0dd7ba3\",\n \"score\": \"0.47536135\",\n \"text\": \"public abstract void mo424b(Bundle bundle);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4f0aef2800e09fd290d190663b5d300e\",\n \"score\": \"0.4751196\",\n \"text\": \"public T setFlags(final LexicalContext lc, int flags);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1ec2ae4cd3bf683a71b4d9036fb4305\",\n \"score\": \"0.47509193\",\n \"text\": \"public void updateProSettings() {\\n\\t\\tif (proFeaturesEnabled())\\n\\t\\t\\treturn;\\n\\t\\tSharedPreferences.Editor editor = PrefUtils.prefs(mContext).edit();\\n\\t\\teditor.remove(mContext.getString(R.string.pref_key_background));\\n\\t\\teditor.remove(mContext.getString(R.string.pref_key_pattern_color));\\n\\t\\teditor.remove(mContext.getString(R.string.pref_key_delay_status));\\n\\t\\teditor.remove(mContext.getString(R.string.pref_key_dial_launch));\\n\\t\\teditor.remove(mContext.getString(R.string.pref_key_hide_launcher_icon));\\n\\t\\teditor.remove(mContext.getString(R.string.pref_key_show_notification));\\n\\t\\teditor.remove(mContext.getString(R.string.pref_key_anim_hide_type));\\n\\t\\teditor.remove(mContext.getString(R.string.pref_key_anim_hide_millis));\\n\\t\\teditor.remove(mContext.getString(R.string.pref_key_anim_show_type));\\n\\t\\teditor.remove(mContext.getString(R.string.pref_key_anim_show_millis));\\n\\t\\teditor.remove(mContext\\n\\t\\t\\t\\t.getString(R.string.pref_key_hide_notification_icon));\\n\\t\\tPrefUtils.apply(editor);\\n\\t\\tAppLockService.restart(mContext);\\n\\t\\tPrefUtils.setHideApplication(mContext, false);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a2ac3c467b3614b1fd68d3217d0f1779\",\n \"score\": \"0.4742955\",\n \"text\": \"BundleAdapterBuilder add(InstanceCbBundle add);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"efc90f6881fa0bb682adb7430ded33e7\",\n \"score\": \"0.4742728\",\n \"text\": \"@Inject\\n\\tpublic void setSettings(Settings settings) {\\n\\t\\tthis.settings = settings;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c382eddacc397868c0694b0763d12597\",\n \"score\": \"0.4738134\",\n \"text\": \"protected Bundle packPreferences() {\\n\\t\\tBundle basket = new Bundle();\\n\\t\\tlong id_utente = getPrefs.getLong(\\\"id_utente\\\", -1);\\n\\t\\tbasket.putLong(\\\"id_utente\\\", id_utente);\\n\\t\\tbasket.putString(\\\"hash\\\", _hash);\\n\\n\\t\\t// DATABASE\\n\\t\\tbasket.putString(\\\"databaseList\\\", getPrefs.getString(\\\"databaseList\\\", \\\"\\\"));\\n\\n\\t\\t// PostgreSQL\\n\\t\\tbasket.putString(\\\"ipPostgreSQL\\\", getPrefs.getString(\\\"ipPostgreSQL\\\", \\\"\\\"));\\n\\t\\tbasket.putString(\\\"userNamePostgreSQL\\\",\\n\\t\\t\\t\\tgetPrefs.getString(\\\"userNamePostgreSQL\\\", \\\"\\\"));\\n\\t\\tbasket.putString(\\\"userPasswdPostgreSQL\\\",\\n\\t\\t\\t\\tgetPrefs.getString(\\\"userPasswdPostgreSQL\\\", \\\"\\\"));\\n\\t\\tbasket.putString(\\\"portPostgreSQL\\\",\\n\\t\\t\\t\\tgetPrefs.getString(\\\"portPostgreSQL\\\", \\\"\\\"));\\n\\t\\tbasket.putString(\\\"schemaPostgreSQL\\\",\\n\\t\\t\\t\\tgetPrefs.getString(\\\"schemaPostgreSQL\\\", \\\"\\\"));\\n\\n\\t\\t// MySQL\\n\\t\\tbasket.putString(\\\"ipMySQL\\\", getPrefs.getString(\\\"ipMySQL\\\", \\\"\\\"));\\n\\t\\tbasket.putString(\\\"userNameMySQL\\\",\\n\\t\\t\\t\\tgetPrefs.getString(\\\"userNameMySQL\\\", \\\"\\\"));\\n\\t\\tbasket.putString(\\\"userPasswdMySQL\\\",\\n\\t\\t\\t\\tgetPrefs.getString(\\\"userPasswdMySQL\\\", \\\"\\\"));\\n\\t\\tbasket.putString(\\\"portMySQL\\\", getPrefs.getString(\\\"portMySQL\\\", \\\"\\\"));\\n\\t\\tbasket.putString(\\\"schemaMySQL\\\", getPrefs.getString(\\\"schemaMySQL\\\", \\\"\\\"));\\n\\n\\t\\t// PhpMySqlAndroid - SERVER SIDE SCRIPTINGs\\n\\t\\tbasket.putString(\\\"phpencoder\\\", getPrefs.getString(\\\"phpencoder\\\", \\\"\\\"));\\n\\t\\tbasket.putString(\\\"retrieveTableData\\\",\\n\\t\\t\\t\\tgetPrefs.getString(\\\"retrieveTableData\\\", \\\"\\\"));\\n\\t\\tbasket.putString(\\\"GraphViewInterface\\\",\\n\\t\\t\\t\\tgetPrefs.getString(\\\"GraphViewInterface\\\", \\\"\\\"));\\n\\t\\tbasket.putString(\\\"LogEventsRegisterInterface\\\",\\n\\t\\t\\t\\tgetPrefs.getString(\\\"LogEventsRegisterInterface\\\", \\\"\\\"));\\n\\t\\tbasket.putString(\\\"schemaMySQL\\\", getPrefs.getString(\\\"schemaMySQL\\\", \\\"\\\"));\\n\\n\\t\\treturn basket;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"17cac96b777d30eb4b5b75cfc77f9295\",\n \"score\": \"0.47358713\",\n \"text\": \"@Override\\n protected void onCreate (Bundle savedInstanceState)\\n {\\n super.onCreate (savedInstanceState);\\n setContentView(R.layout.activity_settings);\\n\\n //Initialize text fields\\n titleText = (TextView) findViewById (R.id.SettingsPageTitleText);\\n\\n Typeface laneUpperFont = Typeface.createFromAsset (getAssets (), \\\"fonts/laneWUnderLine.ttf\\\");\\n Typeface laneNarrowFont = Typeface.createFromAsset (getAssets (), \\\"fonts/LANENAR.ttf\\\");\\n titleText.setTypeface(laneUpperFont);\\n\\n //Create and initialize buttons\\n buttons = new ArrayList<Button>(BUTTON_IDS.length);\\n\\n for (int id: BUTTON_IDS)\\n {\\n Button button = (Button) findViewById(id);\\n button.setOnClickListener(this);\\n button.getBackground().setAlpha(ALPHA_SETTING);\\n button.setTypeface(laneNarrowFont, Typeface.BOLD);\\n buttons.add(button);\\n }\\n\\n //Create and initialize switches and load saved preferences\\n switches = new ArrayList<Switch>(SWITCH_IDS.length);\\n\\n int count = 0;\\n for (int id: SWITCH_IDS)\\n {\\n Switch theSwitch = (Switch) findViewById(id);\\n theSwitch.setOnClickListener(this);\\n switches.add(theSwitch);\\n loadSavedPreferences(SWITCH_PREF_KEYS[count], count, ContinueActivity.buttons.get (count));\\n count++;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4726d61eade584ba1ab5a5486bcc6558\",\n \"score\": \"0.4735256\",\n \"text\": \"private static void setOptions(String[] args) {\\n for (String arg : args) {\\n switch (arg) {\\n case \\\"-a\\\":\\n case \\\"--advanced\\\":\\n optionManager.setAdvancedMode(true);\\n break;\\n default:\\n // I need this because checkstyle complains\\n break;\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"18bbc8f10013e81286676480baba5482\",\n \"score\": \"0.47341436\",\n \"text\": \"public void activateOptions()\\n {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9007babe3faf9bee27cf504dcc911d86\",\n \"score\": \"0.47306007\",\n \"text\": \"private void loadPreferences() {\\n\\t\\t\\n\\t\\tprefs = Gdx.app.getPreferences(Constantes.APP);\\n\\t\\t\\n\\t\\tif (!prefs.contains(\\\"sound\\\"))\\n\\t\\t\\tprefs.putBoolean(\\\"sound\\\", true);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3fcc7962bbb0754858633d3cd62973d5\",\n \"score\": \"0.47296515\",\n \"text\": \"public Builder setExtras(Bundle extras) {\\n/* 2501 */ throw new RuntimeException(\\\"Stub!\\\");\\n/* */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"26be1478077aad5f2d61ea3392825d81\",\n \"score\": \"0.4721422\",\n \"text\": \"public void putConfig() {\\n SharedPreferences prefs = PreferenceManager.getDefaultSharedPreferences(MainActivity.appcontext); \\r\\n Editor e = prefs.edit();\\r\\n\\t\\te.putString(\\\"ServerTaxi\\\", dic.getServerTaxi());\\r\\n\\t\\te.putString(\\\"ServerTaxiPortGPS\\\", dic.getServerTaxiPortGPS()+\\\"\\\");\\r\\n\\t\\te.putString(\\\"ServerTaxiPortCMD\\\", dic.getServerTaxiPortCMD()+\\\"\\\");\\r\\n\\t\\te.putString(\\\"DefaultIMEI\\\", dic.getDefaultIMEI());\\r\\n\\t\\te.putBoolean(\\\"InternalIMEI\\\", dic.getInternalIMEI());\\r\\n\\t\\te.putString(\\\"orderfreshper\\\", dic.getOrderFreshPer()+\\\"\\\");\\r\\n\\t\\te.putString(\\\"gpsperfresh\\\", dic.getGpsPerFresh()+\\\"\\\");\\r\\n\\t\\te.putString(\\\"gpsidlefresh\\\", dic.getGpsIdleFresh()+\\\"\\\");\\r\\n\\t\\te.putString(\\\"OrderBySave\\\", dic.getOrderBySave()+\\\"\\\");\\r\\n\\t\\te.putBoolean(\\\"AutoAnsIPATS\\\", dic.getAutoAnsIPATS());\\r\\n\\t\\te.putBoolean(\\\"AutoGotoOrders\\\", dic.getAutoGotoOrders());\\r\\n\\t\\te.putString(\\\"ServerIPATSIP\\\", dic.getServerIPATSIP());\\r\\n\\t\\te.putString(\\\"ServerIPATSPort\\\", dic.getServerIPATSPort()+\\\"\\\");\\r\\n\\t\\te.putString(\\\"ServerIPATSLogin\\\", dic.getServerIPATSLogin());\\r\\n\\t\\te.putString(\\\"ServerIPATSPassword\\\", dic.getServerIPATSPassword());\\r\\n\\t\\te.putString(\\\"ServerIPATSname1\\\", dic.getServerIPATSname1());\\r\\n\\t\\te.putString(\\\"ServerIPATSnumber1\\\", dic.getServerIPATSnumber1());\\r\\n\\t\\te.putString(\\\"ServerIPATSname2\\\", dic.getServerIPATSname2());\\r\\n\\t\\te.putString(\\\"ServerIPATSnumber2\\\", dic.getServerIPATSnumber2());\\r\\n\\t\\te.putString(\\\"ServerIPATSname3\\\", dic.getServerIPATSname3());\\r\\n\\t\\te.putString(\\\"ServerIPATSnumber3\\\", dic.getServerIPATSnumber3());\\r\\n\\t\\te.putString(\\\"ServerIPATSname4\\\", dic.getServerIPATSname4());\\r\\n\\t\\te.putString(\\\"ServerIPATSnumber4\\\", dic.getServerIPATSnumber4());\\r\\n\\t\\te.putString(\\\"ServerIPATSname5\\\", dic.getServerIPATSname5());\\r\\n\\t\\te.putString(\\\"ServerIPATSnumber5\\\", dic.getServerIPATSnumber5());\\r\\n\\t\\te.putString(\\\"ServerIPATSname6\\\", dic.getServerIPATSname6());\\r\\n\\t\\te.putString(\\\"ServerIPATSnumber6\\\", dic.getServerIPATSnumber6());\\r\\n\\t\\te.putString(\\\"RingFile\\\", dic.getRingFile());\\r\\n\\t\\te.putString(\\\"OpenStreetMapsUpdate\\\", dic.getOpenStreetMapsUpdate());\\r\\n\\t\\te.commit();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f72958f8c53d2aac81373dc7557a7dfa\",\n \"score\": \"0.471962\",\n \"text\": \"public void m20246i() {\\n String[] strArr = {getString(R.string.pstyle_color_filter_off), getString(R.string.pstyle_color_filter_yellow), getString(R.string.pstyle_color_filter_orange), getString(R.string.pstyle_color_filter_red), getString(R.string.pstyle_color_filter_green)};\\n String o = this.f16817l.mo12439o();\\n if (o != null) {\\n if (o.equalsIgnoreCase(\\\"off\\\")) {\\n this.f16812F = 0;\\n } else if (o.equalsIgnoreCase(\\\"yellow\\\")) {\\n this.f16812F = 1;\\n } else if (o.equalsIgnoreCase(\\\"orange\\\")) {\\n this.f16812F = 2;\\n } else if (o.equalsIgnoreCase(\\\"red\\\")) {\\n this.f16812F = 3;\\n } else if (o.equalsIgnoreCase(\\\"green\\\")) {\\n this.f16812F = 4;\\n }\\n }\\n Bundle bundle = new Bundle();\\n bundle.putStringArray(C2378b.SINGLE_CHOICE_LIST.name(), strArr);\\n bundle.putInt(C2378b.SINGLE_CHOICE_CHECKED_ITEM.name(), this.f16812F);\\n C2331d.m10114a((Activity) this, C2328a.ON_SELECT_PHOTOSTYLE_COLOR, bundle);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b4e2936f3321b0691252075eee0f9c14\",\n \"score\": \"0.47183266\",\n \"text\": \"private void settings() {\\n\\t\\tIntent myIntent = new Intent(MainActivity.this, SettingsActivity.class);\\n\\t\\tMainActivity.this\\n\\t\\t\\t\\t.startActivityForResult(myIntent, SETTINGS_REQUESTCODE);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8f1a56d5a782dad2e4a8be499981b83a\",\n \"score\": \"0.4713049\",\n \"text\": \"public void Bind() {\\n context.findViewById(R.id.settings_general_drawer_items)\\n .setOnClickListener(new View.OnClickListener() {\\n @Override\\n public void onClick(View v) {\\n new DrawerItemsDialog(new MaterialDialog.Builder(context)).show();\\n }\\n });\\n\\n {\\n SwitchCompat single = context.findViewById(R.id.settings_general_immersivemode);\\n\\n if (single != null) {\\n single.setChecked(SettingValues.immersiveMode);\\n single.setOnCheckedChangeListener(new CompoundButton.OnCheckedChangeListener() {\\n @Override\\n public void onCheckedChanged(CompoundButton buttonView, boolean isChecked) {\\n SettingsThemeFragment.changed = true;\\n SettingValues.immersiveMode = isChecked;\\n SettingValues.prefs.edit()\\n .putBoolean(SettingValues.PREF_IMMERSIVE_MODE, isChecked)\\n .apply();\\n }\\n });\\n }\\n }\\n\\n {\\n SwitchCompat single = context.findViewById(R.id.settings_general_forcelanguage);\\n\\n if (single != null) {\\n single.setChecked(SettingValues.overrideLanguage);\\n single.setOnCheckedChangeListener(new CompoundButton.OnCheckedChangeListener() {\\n @Override\\n public void onCheckedChanged(CompoundButton buttonView, boolean isChecked) {\\n SettingsThemeFragment.changed = true;\\n SettingValues.overrideLanguage = isChecked;\\n SettingValues.prefs.edit()\\n .putBoolean(SettingValues.PREF_OVERRIDE_LANGUAGE, isChecked)\\n .apply();\\n }\\n });\\n }\\n }\\n\\n {\\n SwitchCompat single = context.findViewById(R.id.settings_general_subfolder);\\n\\n if (single != null) {\\n single.setChecked(SettingValues.imageSubfolders);\\n single.setOnCheckedChangeListener(new CompoundButton.OnCheckedChangeListener() {\\n @Override\\n public void onCheckedChanged(CompoundButton buttonView, boolean isChecked) {\\n SettingValues.imageSubfolders = isChecked;\\n SettingValues.prefs.edit()\\n .putBoolean(SettingValues.PREF_IMAGE_SUBFOLDERS, isChecked)\\n .apply();\\n }\\n });\\n }\\n }\\n\\n {\\n if (context.findViewById(R.id.settings_general_download) != null) {\\n context.findViewById(R.id.settings_general_download).setOnClickListener(new View.OnClickListener() {\\n @Override\\n public void onClick(View v) {\\n new FolderChooserDialogCreate.Builder(SettingsGeneralFragment.this.context).chooseButton(\\n R.string.btn_select) // changes label of the choose button\\n .initialPath(Environment.getExternalStorageDirectory()\\n .getPath()) // changes initial path, defaults to external storage directory\\n .show();\\n }\\n });\\n }\\n }\\n\\n if (context.findViewById(R.id.settings_general_location) != null) {\\n String loc = Reddit.appRestart.getString(\\\"imagelocation\\\",\\n context.getString(R.string.settings_image_location_unset));\\n ((TextView) context.findViewById(R.id.settings_general_location)).setText(loc);\\n }\\n\\n {\\n SwitchCompat single = context.findViewById(R.id.settings_general_expandedmenu);\\n\\n if (single != null) {\\n single.setChecked(SettingValues.expandedToolbar);\\n single.setOnCheckedChangeListener(new CompoundButton.OnCheckedChangeListener() {\\n @Override\\n public void onCheckedChanged(CompoundButton buttonView, boolean isChecked) {\\n SettingValues.expandedToolbar = isChecked;\\n SettingValues.prefs.edit()\\n .putBoolean(SettingValues.PREF_EXPANDED_TOOLBAR, isChecked)\\n .apply();\\n }\\n });\\n }\\n }\\n\\n if (context.findViewById(R.id.settings_general_viewtype) != null) {\\n context.findViewById(R.id.settings_general_viewtype).setOnClickListener(new OnSingleClickListener() {\\n @Override\\n public void onSingleClick(View v) {\\n Intent i = new Intent(context, SettingsViewType.class);\\n context.startActivity(i);\\n }\\n });\\n }\\n\\n //FAB multi choice//\\n if (context.findViewById(R.id.settings_general_fab_current) != null && context.findViewById(R.id.settings_general_fab) != null) {\\n ((TextView) context.findViewById(R.id.settings_general_fab_current)).setText(\\n SettingValues.fab ? (SettingValues.fabType == Constants.FAB_DISMISS ? context.getString(\\n R.string.fab_hide) : context.getString(R.string.fab_create))\\n : context.getString(R.string.fab_disabled));\\n\\n context.findViewById(R.id.settings_general_fab).setOnClickListener(new View.OnClickListener() {\\n @Override\\n public void onClick(View v) {\\n PopupMenu popup = new PopupMenu(context, v);\\n popup.getMenuInflater().inflate(R.menu.fab_settings, popup.getMenu());\\n\\n popup.setOnMenuItemClickListener(new PopupMenu.OnMenuItemClickListener() {\\n public boolean onMenuItemClick(MenuItem item) {\\n switch (item.getItemId()) {\\n case R.id.disabled:\\n SettingValues.fab = false;\\n SettingValues.prefs.edit()\\n .putBoolean(SettingValues.PREF_FAB, false)\\n .apply();\\n break;\\n case R.id.hide:\\n SettingValues.fab = true;\\n SettingValues.fabType = Constants.FAB_DISMISS;\\n SettingValues.prefs.edit()\\n .putInt(SettingValues.PREF_FAB_TYPE, Constants.FAB_DISMISS)\\n .apply();\\n SettingValues.prefs.edit()\\n .putBoolean(SettingValues.PREF_FAB, true)\\n .apply();\\n break;\\n case R.id.create:\\n SettingValues.fab = true;\\n SettingValues.fabType = Constants.FAB_POST;\\n SettingValues.prefs.edit()\\n .putInt(SettingValues.PREF_FAB_TYPE, Constants.FAB_POST)\\n .apply();\\n SettingValues.prefs.edit()\\n .putBoolean(SettingValues.PREF_FAB, true)\\n .apply();\\n break;\\n case R.id.search:\\n SettingValues.fab = true;\\n SettingValues.fabType = Constants.FAB_SEARCH;\\n SettingValues.prefs.edit()\\n .putInt(SettingValues.PREF_FAB_TYPE, Constants.FAB_SEARCH)\\n .apply();\\n SettingValues.prefs.edit()\\n .putBoolean(SettingValues.PREF_FAB, true)\\n .apply();\\n break;\\n }\\n final TextView fabTitle = context.findViewById(R.id.settings_general_fab_current);\\n if (SettingValues.fab) {\\n if (SettingValues.fabType == Constants.FAB_DISMISS) {\\n fabTitle.setText(R.string.fab_hide);\\n } else if (SettingValues.fabType == Constants.FAB_POST) {\\n fabTitle.setText(R.string.fab_create);\\n } else {\\n fabTitle.setText(R.string.fab_search);\\n }\\n } else {\\n fabTitle.setText(R.string.fab_disabled);\\n }\\n\\n return true;\\n }\\n });\\n\\n popup.show();\\n }\\n });\\n }\\n\\n //SettingValues.subredditSearchMethod == 1 for drawer, 2 for toolbar, 3 for both\\n final TextView currentMethodTitle = context.findViewById(R.id.settings_general_subreddit_search_method_current);\\n\\n if (currentMethodTitle != null) {\\n if (SettingValues.subredditSearchMethod == Constants.SUBREDDIT_SEARCH_METHOD_DRAWER) {\\n currentMethodTitle.setText(context.getString(R.string.subreddit_search_method_drawer));\\n } else if (SettingValues.subredditSearchMethod\\n == Constants.SUBREDDIT_SEARCH_METHOD_TOOLBAR) {\\n currentMethodTitle.setText(context.getString(R.string.subreddit_search_method_toolbar));\\n } else if (SettingValues.subredditSearchMethod == Constants.SUBREDDIT_SEARCH_METHOD_BOTH) {\\n currentMethodTitle.setText(context.getString(R.string.subreddit_search_method_both));\\n }\\n }\\n\\n if (context.findViewById(R.id.settings_general_subreddit_search_method) != null) {\\n context.findViewById(R.id.settings_general_subreddit_search_method).setOnClickListener(new View.OnClickListener() {\\n @Override\\n public void onClick(View v) {\\n PopupMenu popup = new PopupMenu(SettingsGeneralFragment.this.context, v);\\n popup.getMenuInflater().inflate(R.menu.subreddit_search_settings, popup.getMenu());\\n\\n popup.setOnMenuItemClickListener(new PopupMenu.OnMenuItemClickListener() {\\n public boolean onMenuItemClick(MenuItem item) {\\n switch (item.getItemId()) {\\n case R.id.subreddit_search_drawer:\\n SettingValues.subredditSearchMethod =\\n Constants.SUBREDDIT_SEARCH_METHOD_DRAWER;\\n SettingValues.prefs.edit()\\n .putInt(SettingValues.PREF_SUBREDDIT_SEARCH_METHOD,\\n Constants.SUBREDDIT_SEARCH_METHOD_DRAWER)\\n .apply();\\n searchChanged = true;\\n break;\\n case R.id.subreddit_search_toolbar:\\n SettingValues.subredditSearchMethod =\\n Constants.SUBREDDIT_SEARCH_METHOD_TOOLBAR;\\n SettingValues.prefs.edit()\\n .putInt(SettingValues.PREF_SUBREDDIT_SEARCH_METHOD,\\n Constants.SUBREDDIT_SEARCH_METHOD_TOOLBAR)\\n .apply();\\n searchChanged = true;\\n break;\\n case R.id.subreddit_search_both:\\n SettingValues.subredditSearchMethod =\\n Constants.SUBREDDIT_SEARCH_METHOD_BOTH;\\n SettingValues.prefs.edit()\\n .putInt(SettingValues.PREF_SUBREDDIT_SEARCH_METHOD,\\n Constants.SUBREDDIT_SEARCH_METHOD_BOTH)\\n .apply();\\n searchChanged = true;\\n break;\\n }\\n\\n if (SettingValues.subredditSearchMethod\\n == Constants.SUBREDDIT_SEARCH_METHOD_DRAWER) {\\n currentMethodTitle.setText(\\n context.getString(R.string.subreddit_search_method_drawer));\\n } else if (SettingValues.subredditSearchMethod\\n == Constants.SUBREDDIT_SEARCH_METHOD_TOOLBAR) {\\n currentMethodTitle.setText(\\n context.getString(R.string.subreddit_search_method_toolbar));\\n } else if (SettingValues.subredditSearchMethod\\n == Constants.SUBREDDIT_SEARCH_METHOD_BOTH) {\\n currentMethodTitle.setText(\\n context.getString(R.string.subreddit_search_method_both));\\n }\\n return true;\\n }\\n });\\n popup.show();\\n }\\n });\\n }\\n\\n final TextView currentBackButtonTitle =\\n context.findViewById(R.id.settings_general_back_button_behavior_current);\\n if (SettingValues.backButtonBehavior\\n == Constants.BackButtonBehaviorOptions.ConfirmExit.getValue()) {\\n currentBackButtonTitle.setText(context.getString(R.string.back_button_behavior_confirm_exit));\\n } else if (SettingValues.backButtonBehavior\\n == Constants.BackButtonBehaviorOptions.OpenDrawer.getValue()) {\\n currentBackButtonTitle.setText(context.getString(R.string.back_button_behavior_drawer));\\n } else {\\n currentBackButtonTitle.setText(context.getString(R.string.back_button_behavior_default));\\n }\\n\\n context.findViewById(R.id.settings_general_back_button_behavior).setOnClickListener(new View.OnClickListener() {\\n @Override\\n public void onClick(View v) {\\n PopupMenu popup = new PopupMenu(context, v);\\n popup.getMenuInflater()\\n .inflate(R.menu.back_button_behavior_settings, popup.getMenu());\\n\\n popup.setOnMenuItemClickListener(new PopupMenu.OnMenuItemClickListener() {\\n public boolean onMenuItemClick(MenuItem item) {\\n switch (item.getItemId()) {\\n case R.id.back_button_behavior_default:\\n SettingValues.backButtonBehavior =\\n Constants.BackButtonBehaviorOptions.Default.getValue();\\n SettingValues.prefs.edit()\\n .putInt(SettingValues.PREF_BACK_BUTTON_BEHAVIOR,\\n Constants.BackButtonBehaviorOptions.Default.getValue())\\n .apply();\\n break;\\n case R.id.back_button_behavior_confirm_exit:\\n SettingValues.backButtonBehavior =\\n Constants.BackButtonBehaviorOptions.ConfirmExit.getValue();\\n SettingValues.prefs.edit()\\n .putInt(SettingValues.PREF_BACK_BUTTON_BEHAVIOR,\\n Constants.BackButtonBehaviorOptions.ConfirmExit.getValue())\\n .apply();\\n break;\\n case R.id.back_button_behavior_open_drawer:\\n SettingValues.backButtonBehavior =\\n Constants.BackButtonBehaviorOptions.OpenDrawer.getValue();\\n SettingValues.prefs.edit()\\n .putInt(SettingValues.PREF_BACK_BUTTON_BEHAVIOR,\\n Constants.BackButtonBehaviorOptions.OpenDrawer.getValue())\\n .apply();\\n break;\\n }\\n\\n if (SettingValues.backButtonBehavior\\n == Constants.BackButtonBehaviorOptions.ConfirmExit.getValue()) {\\n currentBackButtonTitle.setText(\\n context.getString(R.string.back_button_behavior_confirm_exit));\\n } else if (SettingValues.backButtonBehavior\\n == Constants.BackButtonBehaviorOptions.OpenDrawer.getValue()) {\\n currentBackButtonTitle.setText(\\n context.getString(R.string.back_button_behavior_drawer));\\n } else {\\n currentBackButtonTitle.setText(\\n context.getString(R.string.back_button_behavior_default));\\n }\\n return true;\\n }\\n });\\n popup.show();\\n }\\n });\\n\\n if (context.findViewById(R.id.settings_general_notifications_current) != null &&\\n context.findViewById(R.id.settings_general_sub_notifs_current) != null) {\\n if (Reddit.notificationTime > 0) {\\n ((TextView) context.findViewById(R.id.settings_general_notifications_current)).setText(\\n context.getString(R.string.settings_notification_short,\\n TimeUtils.getTimeInHoursAndMins(Reddit.notificationTime,\\n context.getBaseContext())));\\n setSubText();\\n } else {\\n ((TextView) context.findViewById(R.id.settings_general_notifications_current)).setText(\\n R.string.settings_notifdisabled);\\n ((TextView) context.findViewById(R.id.settings_general_sub_notifs_current)).setText(\\n R.string.settings_enable_notifs);\\n }\\n }\\n\\n if (Authentication.isLoggedIn) {\\n if (context.findViewById(R.id.settings_general_notifications) != null) {\\n context.findViewById(R.id.settings_general_notifications).setOnClickListener(new View.OnClickListener() {\\n @Override\\n public void onClick(View v) {\\n LayoutInflater inflater = context.getLayoutInflater();\\n final View dialoglayout = inflater.inflate(R.layout.inboxfrequency, null);\\n setupNotificationSettings(dialoglayout, SettingsGeneralFragment.this.context);\\n }\\n });\\n }\\n if (context.findViewById(R.id.settings_general_sub_notifications) != null) {\\n context.findViewById(R.id.settings_general_sub_notifications).setOnClickListener(new View.OnClickListener() {\\n @Override\\n public void onClick(View v) {\\n showSelectDialog();\\n }\\n });\\n }\\n } else {\\n if (context.findViewById(R.id.settings_general_notifications) != null) {\\n context.findViewById(R.id.settings_general_notifications).setEnabled(false);\\n context.findViewById(R.id.settings_general_notifications).setAlpha(0.25f);\\n }\\n if (context.findViewById(R.id.settings_general_sub_notifications) != null) {\\n context.findViewById(R.id.settings_general_sub_notifications).setEnabled(false);\\n context.findViewById(R.id.settings_general_sub_notifications).setAlpha(0.25f);\\n }\\n }\\n\\n if (context.findViewById(R.id.settings_general_sorting_current) != null) {\\n ((TextView) context.findViewById(R.id.settings_general_sorting_current)).setText(\\n SortingUtil.getSortingStrings()[SortingUtil.getSortingId(\\\"\\\")]);\\n }\\n\\n {\\n if (context.findViewById(R.id.settings_general_sorting) != null) {\\n context.findViewById(R.id.settings_general_sorting).setOnClickListener(new View.OnClickListener() {\\n @Override\\n public void onClick(View v) {\\n\\n final DialogInterface.OnClickListener l2 =\\n new DialogInterface.OnClickListener() {\\n\\n @Override\\n public void onClick(DialogInterface dialogInterface, int i) {\\n switch (i) {\\n case 0:\\n SortingUtil.defaultSorting = Sorting.HOT;\\n break;\\n case 1:\\n SortingUtil.defaultSorting = Sorting.NEW;\\n break;\\n case 2:\\n SortingUtil.defaultSorting = Sorting.RISING;\\n break;\\n case 3:\\n SortingUtil.defaultSorting = Sorting.TOP;\\n askTimePeriod();\\n return;\\n case 4:\\n SortingUtil.defaultSorting = Sorting.CONTROVERSIAL;\\n askTimePeriod();\\n return;\\n }\\n SettingValues.prefs.edit()\\n .putString(\\\"defaultSorting\\\",\\n SortingUtil.defaultSorting.name())\\n .apply();\\n SettingValues.defaultSorting = SortingUtil.defaultSorting;\\n\\n if (context.findViewById(R.id.settings_general_sorting_current) != null) {\\n ((TextView) context.findViewById(R.id.settings_general_sorting_current)).setText(\\n SortingUtil.getSortingStrings()[SortingUtil.getSortingId(\\n \\\"\\\")]);\\n }\\n }\\n };\\n\\n AlertDialogWrapper.Builder builder =\\n new AlertDialogWrapper.Builder(SettingsGeneralFragment.this.context);\\n builder.setTitle(R.string.sorting_choose);\\n\\n // Remove the \\\"Best\\\" sorting option from settings because it is only supported on the frontpage.\\n int skip = -1;\\n List<String> sortingStrings = new ArrayList<>(Arrays.asList(SortingUtil.getSortingStrings()));\\n for (int i = 0; i < sortingStrings.size(); i++) {\\n if (sortingStrings.get(i).equals(context.getString(R.string.sorting_best))) {\\n skip = i;\\n break;\\n }\\n }\\n if (skip != -1) {\\n sortingStrings.remove(skip);\\n }\\n\\n builder.setSingleChoiceItems(sortingStrings.toArray(new String[0]), SortingUtil.getSortingId(\\\"\\\"), l2);\\n builder.show();\\n }\\n });\\n }\\n }\\n doNotifText(context);\\n {\\n final int i2 = SettingValues.defaultCommentSorting == CommentSort.CONFIDENCE ? 0\\n : SettingValues.defaultCommentSorting == CommentSort.TOP ? 1\\n : SettingValues.defaultCommentSorting == CommentSort.NEW ? 2\\n : SettingValues.defaultCommentSorting\\n == CommentSort.CONTROVERSIAL ? 3\\n : SettingValues.defaultCommentSorting == CommentSort.OLD\\n ? 4 : SettingValues.defaultCommentSorting\\n == CommentSort.QA ? 5 : 0;\\n\\n if (context.findViewById(R.id.settings_general_sorting_current_comment) != null) {\\n ((TextView) context.findViewById(R.id.settings_general_sorting_current_comment)).setText(\\n SortingUtil.getSortingCommentsStrings()[i2]);\\n }\\n\\n if (context.findViewById(R.id.settings_general_sorting_comment) != null) {\\n context.findViewById(R.id.settings_general_sorting_comment).setOnClickListener(new View.OnClickListener() {\\n @Override\\n public void onClick(View v) {\\n final DialogInterface.OnClickListener l2 =\\n new DialogInterface.OnClickListener() {\\n\\n @Override\\n public void onClick(DialogInterface dialogInterface, int i) {\\n CommentSort commentSorting =\\n SettingValues.defaultCommentSorting;\\n\\n switch (i) {\\n case 0:\\n commentSorting = CommentSort.CONFIDENCE;\\n break;\\n case 1:\\n commentSorting = CommentSort.TOP;\\n break;\\n case 2:\\n commentSorting = CommentSort.NEW;\\n break;\\n case 3:\\n commentSorting = CommentSort.CONTROVERSIAL;\\n break;\\n case 4:\\n commentSorting = CommentSort.OLD;\\n break;\\n case 5:\\n commentSorting = CommentSort.QA;\\n break;\\n }\\n SettingValues.prefs.edit()\\n .putString(\\\"defaultCommentSortingNew\\\",\\n commentSorting.name())\\n .apply();\\n SettingValues.defaultCommentSorting = commentSorting;\\n if (context.findViewById(R.id.settings_general_sorting_current_comment) != null) {\\n ((TextView) context.findViewById(R.id.settings_general_sorting_current_comment)).setText(\\n SortingUtil.getSortingCommentsStrings()[i]);\\n }\\n }\\n };\\n\\n AlertDialogWrapper.Builder builder =\\n new AlertDialogWrapper.Builder(SettingsGeneralFragment.this.context);\\n builder.setTitle(R.string.sorting_choose);\\n Resources res = context.getBaseContext().getResources();\\n builder.setSingleChoiceItems(new String[]{\\n res.getString(R.string.sorting_best),\\n res.getString(R.string.sorting_top),\\n res.getString(R.string.sorting_new),\\n res.getString(R.string.sorting_controversial),\\n res.getString(R.string.sorting_old), res.getString(R.string.sorting_ama)\\n }, i2, l2);\\n builder.show();\\n }\\n });\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a743d2e17fe5d944baf10001ee3afc4e\",\n \"score\": \"0.4709995\",\n \"text\": \"public void setTranslateFlag(java.lang.String translateFlag);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"05ce71c21beff9c47e23f41306406389\",\n \"score\": \"0.4706243\",\n \"text\": \"public static void addSettings(CTSettings ctSettings){\\n // <w:zoom w:percent=\\\"150\\\"/>\\n ctSettings.addNewZoom().setPercent(BigInteger.valueOf(150));\\n // <w:bordersDoNotSurroundHeader/>\\n ctSettings.addNewBordersDoNotSurroundHeader();\\n // <w:bordersDoNotSurroundFooter/>\\n ctSettings.addNewBordersDoNotSurroundFooter();\\n // <w:proofState w:grammar=\\\"clean\\\"/>\\n ctSettings.addNewProofState().setGrammar(STProof.Enum.forInt(1));\\n // <w:defaultTabStop w:val=\\\"420\\\"/>\\n ctSettings.addNewDefaultTabStop().setVal(BigInteger.valueOf(420));\\n // <w:drawingGridVerticalSpacing w:val=\\\"156\\\"/>\\n ctSettings.addNewDrawingGridVerticalSpacing().setVal(BigInteger.valueOf(156));\\n // <w:displayHorizontalDrawingGridEvery w:val=\\\"0\\\"/>\\n ctSettings.addNewDisplayHorizontalDrawingGridEvery().setVal(BigInteger.valueOf(0));\\n // <w:displayVerticalDrawingGridEvery w:val=\\\"2\\\"/>\\n ctSettings.addNewDisplayVerticalDrawingGridEvery().setVal(BigInteger.valueOf(2));\\n // <w:characterSpacingControl w:val=\\\"compressPunctuation\\\"/>\\n ctSettings.addNewCharacterSpacingControl().setVal(STCharacterSpacing.Enum.forString(\\\"compressPunctuation\\\"));\\n // <w:compat>\\n CTCompat compat = ctSettings.addNewCompat();\\n // <w:spaceForUL/>\\n compat.addNewSpaceForUL();\\n // <w:balanceSingleByteDoubleByteWidth/>\\n compat.addNewBalanceSingleByteDoubleByteWidth();\\n // <w:doNotLeaveBackslashAlone/>\\n compat.addNewDoNotLeaveBackslashAlone();\\n // <w:ulTrailSpace/>\\n compat.addNewUlTrailSpace();\\n // <w:doNotExpandShiftReturn/>\\n compat.addNewDoNotExpandShiftReturn();\\n // <w:adjustLineHeightInTable/>\\n compat.addNewAdjustLineHeightInTable();\\n // <w:useFELayout/>\\n compat.addNewUseFELayout();\\n\\n // <m:mathPr>\\n ctSettings.addNewMathPr();\\n // <m:mathFont m:val=\\\"Cambria Math\\\"/>\\n ctSettings.getMathPr().addNewMathFont().setVal(\\\"Cambria Math\\\");\\n // <m:brkBin m:val=\\\"before\\\"/>\\n ctSettings.getMathPr().addNewBrkBin().setVal(STBreakBin.Enum.forString(\\\"before\\\"));\\n // <m:brkBinSub m:val=\\\"--\\\"/>\\n ctSettings.getMathPr().addNewBrkBinSub().setVal(STBreakBinSub.Enum.forString(\\\"--\\\"));\\n // <m:smallFrac m:val=\\\"off\\\"/>\\n ctSettings.getMathPr().addNewSmallFrac().setVal(STOnOff.Enum.forString(\\\"off\\\"));\\n // <m:dispDef/>\\n ctSettings.getMathPr().addNewDispDef();\\n // <m:lMargin m:val=\\\"0\\\"/>\\n ctSettings.getMathPr().addNewLMargin().setVal(0);\\n // <m:rMargin m:val=\\\"0\\\"/>\\n ctSettings.getMathPr().addNewRMargin().setVal(0);\\n // <m:defJc m:val=\\\"centerGroup\\\"/>\\n ctSettings.getMathPr().addNewDefJc().setVal(STJc.Enum.forString(\\\"centerGroup\\\"));\\n // <m:wrapIndent m:val=\\\"1440\\\"/>\\n ctSettings.getMathPr().addNewWrapIndent().setVal(1440);\\n // <m:intLim m:val=\\\"subSup\\\"/>\\n ctSettings.getMathPr().addNewIntLim().setVal(STLimLoc.Enum.forString(\\\"subSup\\\"));\\n // <m:naryLim m:val=\\\"undOvr\\\"/>\\n ctSettings.getMathPr().addNewNaryLim().setVal(STLimLoc.Enum.forString(\\\"undOvr\\\"));\\n\\n // <w:themeFontLang w:val=\\\"en-US\\\" w:eastAsia=\\\"zh-CN\\\"/>\\n ctSettings.addNewThemeFontLang();\\n ctSettings.getThemeFontLang().setVal(\\\"en-US\\\");\\n ctSettings.getThemeFontLang().setEastAsia(\\\"zh-CN\\\");\\n\\n // <w:clrSchemeMapping>\\n CTColorSchemeMapping ctColorSchemeMapping = ctSettings.addNewClrSchemeMapping();\\n // w:followedHyperlink=\\\"followedHyperlink\\\"\\n ctColorSchemeMapping.setFollowedHyperlink(STColorSchemeIndex.Enum.forString(\\\"followedHyperlink\\\"));\\n // w:hyperlink=\\\"hyperlink\\\"\\n ctColorSchemeMapping.setHyperlink(STColorSchemeIndex.Enum.forString(\\\"hyperlink\\\"));\\n // w:accent6=\\\"accent6\\\"\\n ctColorSchemeMapping.setAccent6(STColorSchemeIndex.Enum.forString(\\\"accent6\\\"));\\n // w:accent5=\\\"accent5\\\"\\n ctColorSchemeMapping.setAccent5(STColorSchemeIndex.Enum.forString(\\\"accent5\\\"));\\n // w:accent4=\\\"accent4\\\"\\n ctColorSchemeMapping.setAccent4(STColorSchemeIndex.Enum.forString(\\\"accent4\\\"));\\n // w:accent3=\\\"accent3\\\"\\n ctColorSchemeMapping.setAccent3(STColorSchemeIndex.Enum.forString(\\\"accent3\\\"));\\n // w:accent2=\\\"accent2\\\"\\n ctColorSchemeMapping.setAccent2(STColorSchemeIndex.Enum.forString(\\\"accent2\\\"));\\n // w:accent1=\\\"accent1\\\"\\n ctColorSchemeMapping.setAccent1(STColorSchemeIndex.Enum.forString(\\\"accent1\\\"));\\n // w:t2=\\\"dark2\\\"\\n ctColorSchemeMapping.setT2(STColorSchemeIndex.Enum.forString(\\\"dark2\\\"));\\n // w:bg2=\\\"light2\\\"\\n ctColorSchemeMapping.setBg2(STColorSchemeIndex.Enum.forString(\\\"light2\\\"));\\n // w:t1=\\\"dark1\\\"\\n ctColorSchemeMapping.setT1(STColorSchemeIndex.Enum.forString(\\\"dark1\\\"));\\n // w:bg1=\\\"light1\\\"\\n ctColorSchemeMapping.setBg1(STColorSchemeIndex.Enum.forString(\\\"light1\\\"));\\n\\n // <w:shapeDefaults/>\\n ctSettings.addNewShapeDefaults();\\n // <w:decimalSymbol w:val=\\\".\\\"/>\\n ctSettings.addNewDecimalSymbol().setVal(\\\".\\\");\\n // <w:listSeparator w:val=\\\",\\\"/>\\n ctSettings.addNewListSeparator().setVal(\\\",\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eab46baf63dc6ad8cb1e98c51a349b50\",\n \"score\": \"0.4705629\",\n \"text\": \"private void showSettingsDialog() {\\n AlertDialog.Builder builder = new AlertDialog.Builder(SplashActivity.this);\\n builder.setTitle(getString(R.string.need_permission_str));\\n builder.setMessage(getString(R.string.app_needs_permission_str));\\n builder.setPositiveButton(R.string.goto_settings_str, new DialogInterface.OnClickListener() {\\n @Override\\n public void onClick(DialogInterface dialog, int which) {\\n dialog.cancel();\\n openSettings();\\n }\\n });\\n builder.setNegativeButton(getString(R.string.cancel_str), new DialogInterface.OnClickListener() {\\n @Override\\n public void onClick(DialogInterface dialog, int which) {\\n dialog.cancel();\\n showToast(getString(R.string.splash_permission_str));\\n }\\n });\\n builder.show();\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"17df53774863a3e82c0001df46962613\",\n \"score\": \"0.47032034\",\n \"text\": \"@SuppressLint({\\\"WrongConstant\\\"})\\n public void onCreate(Bundle bundle) {\\n int i;\\n boolean z;\\n boolean z2;\\n boolean z3;\\n boolean z4;\\n boolean z5;\\n try {\\n requestWindowFeature(1);\\n } catch (Throwable th) {\\n }\\n try {\\n super.onCreate(bundle);\\n getWindow().addFlags(1024);\\n context = this;\\n getWindow().setSoftInputMode(32);\\n this.orientation = getRequestedOrientation();\\n mm.a(getApplicationContext());\\n int i2 = R.drawable.$ic_launcher_foreground__0;\\n Bundle bundleExtra = getIntent().getBundleExtra(AmapNaviPage.THEME_DATA);\\n if (bundleExtra != null) {\\n i2 = bundleExtra.getInt(AmapNaviPage.THEME_ID);\\n }\\n mm.b(this, i2);\\n getWindow().setFormat(-3);\\n this.pageStackTop = -1;\\n pageStackLength = 0;\\n Bundle bundleExtra2 = getIntent().getBundleExtra(\\\"data\\\");\\n if (bundleExtra2 != null) {\\n bundleExtra2.putInt(\\\"from\\\", 4);\\n z = bundleExtra2.getBoolean(AmapNaviPage.PAGE_TYPE, false);\\n this.isNeedDestroyDriveManagerInstanceWhenNaviExit = bundleExtra2.getBoolean(AmapNaviPage.ISNEEDDESTROYDRIVEMANAGERINSTANCEWHENNAVIEXIT, true);\\n this.isShowExitNaviDialog = bundleExtra2.getBoolean(AmapNaviPage.ISSHOWEXITNAVIDIALOG, true);\\n getSearchResult().a((AMapCarInfo) bundleExtra2.getParcelable(AmapNaviPage.CAR_INFO));\\n AMapNavi.getInstance(this).setUseInnerVoice(bundleExtra2.getBoolean(AmapNaviPage.ISUSEINNERVOICE), true);\\n AMapNavi.getInstance(this).setMultipleRouteNaviMode(bundleExtra2.getBoolean(AmapNaviPage.ISMULTIPLEROUTENAVIMODE));\\n i = bundleExtra2.getInt(AmapNaviPage.PLANSTRATEGY, -1);\\n } else {\\n z = false;\\n i = 10;\\n }\\n if (z) {\\n newScr(new kn(2, bundleExtra2));\\n } else {\\n newScr(new kn(1, bundleExtra2));\\n }\\n if (i != -1) {\\n boolean[] zArr = new boolean[4];\\n switch (i) {\\n case 1:\\n case 14:\\n z5 = false;\\n z4 = true;\\n z3 = false;\\n z2 = false;\\n zArr[0] = z5;\\n zArr[1] = z4;\\n zArr[2] = z3;\\n zArr[3] = z2;\\n lz.a(this, zArr[0]);\\n lz.b(this, zArr[1]);\\n lz.c(this, zArr[2]);\\n lz.d(this, zArr[3]);\\n break;\\n case 2:\\n case 5:\\n case 10:\\n case 11:\\n default:\\n z5 = false;\\n z4 = false;\\n z3 = false;\\n z2 = false;\\n zArr[0] = z5;\\n zArr[1] = z4;\\n zArr[2] = z3;\\n zArr[3] = z2;\\n lz.a(this, zArr[0]);\\n lz.b(this, zArr[1]);\\n lz.c(this, zArr[2]);\\n lz.d(this, zArr[3]);\\n break;\\n case 3:\\n case 15:\\n z5 = true;\\n z4 = false;\\n z3 = true;\\n z2 = false;\\n zArr[0] = z5;\\n zArr[1] = z4;\\n zArr[2] = z3;\\n zArr[3] = z2;\\n lz.a(this, zArr[0]);\\n lz.b(this, zArr[1]);\\n lz.c(this, zArr[2]);\\n lz.d(this, zArr[3]);\\n break;\\n case 4:\\n case 12:\\n z5 = true;\\n z4 = false;\\n z3 = false;\\n z2 = false;\\n zArr[0] = z5;\\n zArr[1] = z4;\\n zArr[2] = z3;\\n zArr[3] = z2;\\n lz.a(this, zArr[0]);\\n lz.b(this, zArr[1]);\\n lz.c(this, zArr[2]);\\n lz.d(this, zArr[3]);\\n break;\\n case 6:\\n case 13:\\n z5 = false;\\n z4 = false;\\n z3 = true;\\n z2 = false;\\n zArr[0] = z5;\\n zArr[1] = z4;\\n zArr[2] = z3;\\n zArr[3] = z2;\\n lz.a(this, zArr[0]);\\n lz.b(this, zArr[1]);\\n lz.c(this, zArr[2]);\\n lz.d(this, zArr[3]);\\n break;\\n case 7:\\n case 16:\\n z5 = false;\\n z4 = true;\\n z3 = true;\\n z2 = false;\\n zArr[0] = z5;\\n zArr[1] = z4;\\n zArr[2] = z3;\\n zArr[3] = z2;\\n lz.a(this, zArr[0]);\\n lz.b(this, zArr[1]);\\n lz.c(this, zArr[2]);\\n lz.d(this, zArr[3]);\\n break;\\n case 8:\\n case 17:\\n z5 = true;\\n z4 = true;\\n z3 = false;\\n z2 = false;\\n zArr[0] = z5;\\n zArr[1] = z4;\\n zArr[2] = z3;\\n zArr[3] = z2;\\n lz.a(this, zArr[0]);\\n lz.b(this, zArr[1]);\\n lz.c(this, zArr[2]);\\n lz.d(this, zArr[3]);\\n break;\\n case 9:\\n case 18:\\n z5 = true;\\n z4 = true;\\n z3 = true;\\n z2 = false;\\n zArr[0] = z5;\\n zArr[1] = z4;\\n zArr[2] = z3;\\n zArr[3] = z2;\\n lz.a(this, zArr[0]);\\n lz.b(this, zArr[1]);\\n lz.c(this, zArr[2]);\\n lz.d(this, zArr[3]);\\n break;\\n case 19:\\n z5 = false;\\n z4 = false;\\n z3 = false;\\n z2 = true;\\n zArr[0] = z5;\\n zArr[1] = z4;\\n zArr[2] = z3;\\n zArr[3] = z2;\\n lz.a(this, zArr[0]);\\n lz.b(this, zArr[1]);\\n lz.c(this, zArr[2]);\\n lz.d(this, zArr[3]);\\n break;\\n case 20:\\n z5 = true;\\n z4 = false;\\n z3 = false;\\n z2 = true;\\n zArr[0] = z5;\\n zArr[1] = z4;\\n zArr[2] = z3;\\n zArr[3] = z2;\\n lz.a(this, zArr[0]);\\n lz.b(this, zArr[1]);\\n lz.c(this, zArr[2]);\\n lz.d(this, zArr[3]);\\n break;\\n }\\n } else {\\n i = mo.a(context);\\n }\\n INaviInfoCallback callback = AmapNaviPage.getInstance().getCallback();\\n if (callback != null) {\\n callback.onStrategyChanged(i);\\n }\\n } catch (Throwable th2) {\\n th2.printStackTrace();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dcc0014c83b2f5b41e499e6500d47d16\",\n \"score\": \"0.4700644\",\n \"text\": \"private void launchSettings(){\\n Intent intent = new Intent(this, Settings.class);\\n\\n //Starting activity, marking 1 as the code for receiving data back\\n startActivityForResult(intent, 1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"08e80ab24be8efef37d44f2d94a5e728\",\n \"score\": \"0.46991044\",\n \"text\": \"protected void onCreate(Bundle bundle) {\\n\\t\\tsuper.onCreate(bundle);\\n\\t\\taddPreferencesFromResource(R.xml.tm_preferences);\\n\\t\\tthis.mAutoKillPreference = ((CheckBoxPreference) findPreference(\\\"auto_kill\\\"));\\n\\t\\tif ((this.mAutoKillPreference.isChecked())\\n\\t\\t\\t\\t&& (TmWidgetProvider.getWidgetIds(getBaseContext()).size() == 0)) {\\n\\t\\t\\tnew android.app.AlertDialog.Builder(this)\\n\\t\\t\\t\\t\\t.setTitle(\\\"note_title\\\")\\n\\t\\t\\t\\t\\t.setMessage(\\\"auto_kill_note_text\\\")\\n\\t\\t\\t\\t\\t.setPositiveButton(\\\"OK\\\",\\n\\t\\t\\t\\t\\t\\t\\tnew DialogInterface.OnClickListener() {\\n\\t\\t\\t\\t\\t\\t\\t\\tpublic void onClick(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tDialogInterface paramDialogInterface,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tint paramInt) {\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t}).show();\\n\\t\\t\\tthis.mAutoKillPreference.setChecked(false);\\n\\t\\t}\\n\\t\\tthis.mAutoKillPreference\\n\\t\\t\\t\\t.setOnPreferenceChangeListener(new Preference.OnPreferenceChangeListener() {\\n\\t\\t\\t\\t\\tpublic boolean onPreferenceChange(\\n\\t\\t\\t\\t\\t\\t\\tPreference paramPreference, Object paramObject) {\\n\\t\\t\\t\\t\\t\\tif ((((Boolean) paramObject).booleanValue())\\n\\t\\t\\t\\t\\t\\t\\t\\t&& (TmWidgetProvider.getWidgetIds(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tPreferencesActivity.this\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.getBaseContext()).size() == 0))\\n\\t\\t\\t\\t\\t\\t\\tnew android.app.AlertDialog.Builder(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tPreferencesActivity.this)\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.setTitle(\\\"note_title\\\")\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.setMessage(\\\"auto_kill_note_text\\\")\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.setPositiveButton(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\\"Cancel\\\",\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tnew DialogInterface.OnClickListener() {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tpublic void onClick(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tDialogInterface paramDialogInterface,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tint paramInt) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t}).show();\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t});\\n\\t\\tthis.mStatEnablePreference = ((CheckBoxPreference) findPreference(\\\"stat_enabled\\\"));\\n\\t\\tthis.mStatEnablePreference\\n\\t\\t\\t\\t.setOnPreferenceChangeListener(new Preference.OnPreferenceChangeListener() {\\n\\t\\t\\t\\t\\tpublic boolean onPreferenceChange(\\n\\t\\t\\t\\t\\t\\t\\tPreference paramPreference, Object paramObject) {\\n\\t\\t\\t\\t\\t\\tboolean bool = ((Boolean) paramObject).booleanValue();\\n\\t\\t\\t\\t\\t\\tif (!bool) {\\n\\t\\t\\t\\t\\t\\t\\tPreferencesActivity.this.mAutoStartPreference\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.setChecked(false);\\n\\t\\t\\t\\t\\t\\t\\tPreferencesActivity.enableAutoStart(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tPreferencesActivity.this, false);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\tPreferencesActivity.changeStatusIcon(\\n\\t\\t\\t\\t\\t\\t\\t\\tPreferencesActivity.this, bool);\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t});\\n\\t\\tchangeStatusIcon(this, this.mStatEnablePreference.isChecked());\\n\\t\\tthis.mAutoStartPreference = ((CheckBoxPreference) findPreference(\\\"auto_start\\\"));\\n\\t\\tthis.mAutoStartPreference\\n\\t\\t\\t\\t.setOnPreferenceChangeListener(new Preference.OnPreferenceChangeListener() {\\n\\t\\t\\t\\t\\tpublic boolean onPreferenceChange(\\n\\t\\t\\t\\t\\t\\t\\tPreference paramPreference, Object paramObject) {\\n\\t\\t\\t\\t\\t\\tboolean bool = ((Boolean) paramObject).booleanValue();\\n\\t\\t\\t\\t\\t\\tif (bool) {\\n\\t\\t\\t\\t\\t\\t\\tPreferencesActivity.this.mStatEnablePreference\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.setChecked(true);\\n\\t\\t\\t\\t\\t\\t\\tPreferencesActivity.changeStatusIcon(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tPreferencesActivity.this, true);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\tPreferencesActivity.enableAutoStart(\\n\\t\\t\\t\\t\\t\\t\\t\\tPreferencesActivity.this, bool);\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t});\\n\\t\\tthis.mShortCutPreference = ((CheckBoxPreference) findPreference(\\\"shortcut\\\"));\\n\\t\\tthis.mShortCutPreference\\n\\t\\t\\t\\t.setOnPreferenceChangeListener(new Preference.OnPreferenceChangeListener() {\\n\\t\\t\\t\\t\\tpublic boolean onPreferenceChange(\\n\\t\\t\\t\\t\\t\\t\\tPreference paramPreference, Object paramObject) {\\n\\t\\t\\t\\t\\t\\tif (((Boolean) paramObject).booleanValue())\\n\\t\\t\\t\\t\\t\\t\\tShortcutCreater\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.createTaskManagerIcon(PreferencesActivity.this);\\n\\t\\t\\t\\t\\t\\twhile (true) {\\n\\t\\t\\t\\t\\t\\t\\tShortcutCreater\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.removeTaskManagerIcon(PreferencesActivity.this);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t});\\n\\t\\tthis.mFAQPreference = findPreference(\\\"faq\\\");\\n\\t\\tthis.mFAQPreference\\n\\t\\t\\t\\t.setOnPreferenceClickListener(new Preference.OnPreferenceClickListener() {\\n\\t\\t\\t\\t\\tpublic boolean onPreferenceClick(Preference paramPreference) {\\n\\t\\t\\t\\t\\t\\tIntent localIntent = new Intent(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\\"android.intent.action.VIEW\\\",\\n\\t\\t\\t\\t\\t\\t\\t\\tUri.parse(\\\"http://www.estrongs.com/faqs.html\\\"));\\n\\t\\t\\t\\t\\t\\tPreferencesActivity.this.startActivity(localIntent);\\n\\t\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t});\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6670b015c56f4ff10993b819dca068cd\",\n \"score\": \"0.46953627\",\n \"text\": \"public void setBundleItf(String arg[]) throws ReadWriteException\\n\\t{\\n\\t\\tsetValue(_Prefix + RetrievalPlan.BUNDLEITF.toString(), arg);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6732e7cf696ccf9e34953920c1e6ebef\",\n \"score\": \"0.4690961\",\n \"text\": \"public abstract void mo412a(Bundle bundle);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"59159d309822ebee40b63d5f086a3235\",\n \"score\": \"0.46909043\",\n \"text\": \"protected void createSwitches(Vector<String> singleSwitches,\\n\\t\\t\\t\\t Vector<String> argSwitches) {\\n\\n\\tsingleSwitches.add(\\\"-y\\\");\\n\\tsingleSwitches.add(\\\"-h\\\");\\n\\targSwitches.add(\\\"-db\\\");\\n\\targSwitches.add(\\\"-e\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7dbe99b4ad41b1f72008e3f6d56f6e7a\",\n \"score\": \"0.46877447\",\n \"text\": \"public Bundle setArgumentsFragment(String title){\\n Bundle arguments = new Bundle();\\n if(title.equals(\\\"Dia\\\")){\\n arguments.putInt(\\\"proteinas\\\",mapStadisticDay.get(\\\"proteinas\\\"));\\n arguments.putInt(\\\"kilocalorias\\\",mapStadisticDay.get(\\\"kilocalorias\\\"));\\n arguments.putInt(\\\"grasas\\\",mapStadisticDay.get(\\\"grasas\\\"));\\n arguments.putInt(\\\"hidratos\\\",mapStadisticDay.get(\\\"hidratos\\\"));\\n arguments.putInt(\\\"azucar\\\",mapStadisticDay.get(\\\"azucar\\\"));\\n arguments.putInt(\\\"proteinasMax\\\",mapStadisticDay.get(\\\"proteinasMax\\\"));\\n arguments.putInt(\\\"kilocaloriasMax\\\",mapStadisticDay.get(\\\"kilocaloriasMax\\\"));\\n arguments.putInt(\\\"grasasMax\\\",mapStadisticDay.get(\\\"grasasMax\\\"));\\n arguments.putInt(\\\"hidratosMax\\\",mapStadisticDay.get(\\\"hidratosMax\\\"));\\n arguments.putInt(\\\"azucarMax\\\",mapStadisticDay.get(\\\"azucarMax\\\"));\\n }\\n if(title.equals(\\\"Semana\\\")){\\n arguments.putInt(\\\"proteinas\\\",mapStadisticWeek.get(\\\"proteinas\\\"));\\n arguments.putInt(\\\"kilocalorias\\\",mapStadisticWeek.get(\\\"kilocalorias\\\"));\\n arguments.putInt(\\\"grasas\\\",mapStadisticWeek.get(\\\"grasas\\\"));\\n arguments.putInt(\\\"hidratos\\\",mapStadisticWeek.get(\\\"hidratos\\\"));\\n arguments.putInt(\\\"azucar\\\",mapStadisticWeek.get(\\\"azucar\\\"));\\n arguments.putInt(\\\"proteinasMax\\\",mapStadisticWeek.get(\\\"proteinasMax\\\"));\\n arguments.putInt(\\\"kilocaloriasMax\\\",mapStadisticWeek.get(\\\"kilocaloriasMax\\\"));\\n arguments.putInt(\\\"grasasMax\\\",mapStadisticWeek.get(\\\"grasasMax\\\"));\\n arguments.putInt(\\\"hidratosMax\\\",mapStadisticWeek.get(\\\"hidratosMax\\\"));\\n arguments.putInt(\\\"azucarMax\\\",mapStadisticWeek.get(\\\"azucarMax\\\"));\\n }\\n return arguments;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"960fdd41ce5f31efe5c4806098f0ad8b\",\n \"score\": \"0.4675055\",\n \"text\": \"private void setupSimplePreferencesScreen() {\\n\\t\\tif (!isSimplePreferences(this)) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\n\\t\\taddPreferencesFromResource(R.xml.pref_settings);\\n\\t\\t\\n//\\t\\tbindPreferenceOnClickListener(findPreference(KEY_CLEAN_DOWNLOAD_CACHE));\\n\\t\\t\\n\\t\\tbindPreferenceOnClickListener(findPreference(KEY_FEEDBACK));\\n\\t\\tPreference versionPreference = findPreference(KEY_CHECK_NEW_VERSION);\\n\\t\\tversionPreference.setSummary(versionPreference.getSummary() + AppUtils.getAppVersionNumberString(this));\\n\\t\\tbindPreferenceOnClickListener(versionPreference);\\n\\t\\tbindPreferenceOnClickListener(findPreference(KEY_ABOUT_TEAHOUR_FM));\\n\\t\\tbindPreferenceOnClickListener(findPreference(KEY_ABOUT_CREATER));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7a44eaa6937d2dc783707aa6c7ce0ffe\",\n \"score\": \"0.4674991\",\n \"text\": \"@Override\\n\\tpublic void prepareDialog(SettingsDialog dialog) {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dcf92a3dd7c24f7d30789b70f8da93d0\",\n \"score\": \"0.46737748\",\n \"text\": \"public long addDefaultJobSettingToDB(SQLiteDatabase db, ProjectJobSettings settings, boolean options){\\n Log.d(TAG, \\\"addDefaultJobSettingToDB: Starting\\\");\\n\\n ContentValues contentValues = new ContentValues();\\n\\n\\n //Required\\n contentValues.put(JobContract.JobSettingsEntry.KEY_PROJECT_ID, settings.getProjectId());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_JOB_ID, settings.getJob_id());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_JOB_NAME, settings.getJobName());\\n\\n contentValues.put(JobContract.JobSettingsEntry.KEY_UI_FIRST_START, settings.getUiFirstStart());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_DRAWER_STATE,settings.getUiDrawerState());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_DEFAULT_JOB_TYPE, settings.getDefaultJobType());\\n\\n contentValues.put(JobContract.JobSettingsEntry.KEY_OVER_PROJECTION, settings.getOverrideProjection());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_OVER_PROJECTION_STRING, settings.getOverrideProjectionString());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_OVER_ZONE,settings.getOverrideZone());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_OVER_PROJECTION_ZONE_STRING, settings.getOverrideZoneString());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_UNITS,settings.getOverrideUnits());\\n\\n contentValues.put(JobContract.JobSettingsEntry.KEY_SYSTEM_DIST_DISPLAY,settings.getSystemDistanceDisplay());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_SYSTEM_DIST_PREC_DISPLAY,settings.getSystemDistancePrecisionDisplay());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_SYSTEM_COORD_PREC_DISPLAY,settings.getSystemCoordinatesPrecisionDisplay());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_SYSTEM_ANGLE_DISPLAY,settings.getSystemAngleDisplay());\\n\\n contentValues.put(JobContract.JobSettingsEntry.KEY_FORMAT_COORD_ENTRY,settings.getFormatCoordinatesEntry());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_FORMAT_ANGLE_HZ_DISPLAY,settings.getFormatAngleHorizontalDisplay());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_FORMAT_ANGLE_HZ_OBSERVATION_ENTRY,settings.getFormatAngleHorizontalObsEntry());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_FORMAT_ANGLE_VZ_OBSERVATION_DISPLAY,settings.getFormatAngleVerticalObsDisplay());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_FORMAT_DISTANCE_HZ_OBSERVATION_DISPLAY,settings.getFormatDistanceHorizontalObsDisplay());\\n\\n contentValues.put(JobContract.JobSettingsEntry.KEY_OPTIONS_RAW_FILE, settings.getOptionsRawFile());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_OPTIONS_RAW_TIME_STAMP,settings.getOptionsRawTimeStamp());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_OPTIONS_GPS_ATTRIBUTE, settings.getOptionsGpsAttribute());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_OPTIONS_CODE_TABLE, settings.getOptionsCodeTable());\\n\\n //Optional\\n\\n if(options){\\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_CLIENT,settings.getAttClient());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_MISSION,settings.getAttMission());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_WEATHER_GENERAL,settings.getAttWeatherGeneral());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_WEATHER_TEMP,settings.getAttWeatherTemp());\\n\\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_STAFF_LEADER,settings.getAttStaffLeader());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_STAFF_STAFF1,settings.getAttStaff_1());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_STAFF_STAFF2,settings.getAttStaff_2());\\n contentValues.put(JobContract.JobSettingsEntry.KEY_ATTR_STAFF_OTHER,settings.getAttStaffOther());\\n }\\n\\n Log.d(TAG, \\\"addData: Adding Default Settings to \\\" + JobContract.JobSettingsEntry.TABLE_NAME);\\n\\n Long result = db.insert(JobContract.JobSettingsEntry.TABLE_NAME, null, contentValues);\\n db.close();\\n\\n if (result==-1){\\n Log.d(TAG,\\\"Error, Something went wrong...\\\");\\n return -1;\\n } else {\\n Log.d(TAG,\\\"Success, Row inserted into Table...\\\");\\n return result;\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d41f0534bc6fa6cc8700ba90fc87ba18\",\n \"score\": \"0.46696988\",\n \"text\": \"public void onCreate(@Nullable Bundle bundle) {\\n getWindow().setFlags(1024, 1024);\\n super.onCreate(bundle);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"59b6ef51e959de6e1c4233ac88bfebe5\",\n \"score\": \"0.4669544\",\n \"text\": \"public AuthUrlBuilder setFlags(String[] flags) {\\n uriBuilder.appendQueryParameter(\\\"flags\\\", TextUtils.join(\\\" \\\", flags));\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e0ddd722a91ec887820e31b424be7513\",\n \"score\": \"0.46663302\",\n \"text\": \"public void \\naddToManifest(String x,String y, int flag)\\n{\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c94f12c4fad814fd234aa66bc7c56199\",\n \"score\": \"0.46624035\",\n \"text\": \"private void launchOptions() {\\n try {\\n android.content.ComponentName toLaunch = new android.content.ComponentName(\\\"com.android.settings\\\",\\n \\\"com.android.settings.SecuritySettings\\\");\\n String param = Settings.ACTION_LOCATION_SOURCE_SETTINGS;\\n\\n final Intent intent = new Intent(param);\\n intent.addCategory(Intent.CATEGORY_LAUNCHER);\\n intent.setComponent(toLaunch);\\n intent.setFlags(Intent.FLAG_ACTIVITY_NEW_TASK);\\n startActivityForResult(intent, 0);\\n } catch (Exception e) {\\n showModalWindow(Database.ERROR_GPS_SETTINGS);\\n }\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992487,"cells":{"query_id":{"kind":"string","value":"9ed2df3d7fa6274ab9158f42b29f5e4c"},"query":{"kind":"string","value":"Returns true if the current array or object has another element."},"positive_passages":{"kind":"list like","value":[{"docid":"1bf3f12c487aaec2f67dee931add1c50","score":"0.0","text":"public boolean hasNext() throws IOException {\n int p = peeked;\n if (p == PEEKED_NONE) {\n p = doPeek();\n }\n return p != PEEKED_END_OBJECT && p != PEEKED_END_ARRAY && p != PEEKED_EOF;\n }","title":""}],"string":"[\n {\n \"docid\": \"1bf3f12c487aaec2f67dee931add1c50\",\n \"score\": \"0.0\",\n \"text\": \"public boolean hasNext() throws IOException {\\n int p = peeked;\\n if (p == PEEKED_NONE) {\\n p = doPeek();\\n }\\n return p != PEEKED_END_OBJECT && p != PEEKED_END_ARRAY && p != PEEKED_EOF;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"31c1d42990b08a911184c3e11e9136e9","score":"0.70698726","text":"public boolean hasElement() {\n return instance.hasElement();\n }","title":""},{"docid":"b96d57712a2978403ff8d9e5a5cafd50","score":"0.66940755","text":"@Override\n public boolean contains(Object obj) {\n return index(obj) >= 0;\n }","title":""},{"docid":"269916664ab28ac552b4e4f5bcecefd5","score":"0.659213","text":"boolean hasElement();","title":""},{"docid":"904a4a1bd9afd88d6d1f2ef937949a3e","score":"0.65767854","text":"@Override\n public boolean contains(T elem) {\n return Arrays.binarySearch(elements, 0, size, elem) >= 0;\n }","title":""},{"docid":"76f43a4a240161189727c088ff7f4536","score":"0.65503746","text":"public boolean contains(Object element) { return elements.contains(element); }","title":""},{"docid":"b77a7e57b6ec7ebcd32ca23bcda3c4c8","score":"0.65295506","text":"boolean hasObject();","title":""},{"docid":"acfc815f2bb4a03347491f06052dae70","score":"0.6437516","text":"@Override\r\n\tpublic boolean contains(Object arg0) {\n\t\treturn false;\r\n\t}","title":""},{"docid":"c6fedea4c26e96535a3d32794522550a","score":"0.64249367","text":"@Override\n\tpublic boolean contains(Object o) throws NullPointerException {\n\t\tif (o == null) {\n\t\t\tthrow new NullPointerException();\n\t\t}\n\t\t\n\t\tfor (E element : this.elements) {\n\t\t\tif (element.equals(o)) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn false;\n\t}","title":""},{"docid":"f0f7ffb04d07c86ff5a266d4d6ac1c7e","score":"0.6403888","text":"public boolean hasElement() {\n return ((bitField0_ & 0x00000001) == 0x00000001);\n }","title":""},{"docid":"19c1eaaf99576b9fac71afc4c33ea2d4","score":"0.6397908","text":"@Override\n\tpublic boolean contains(Object arg0) {\n\t\treturn false;\n\t}","title":""},{"docid":"92382aa415bc26953101d502da488579","score":"0.63969576","text":"public boolean has(T t) {\n return (t.equals(this.first)) || this.rest.has(t);\n }","title":""},{"docid":"1af6389e0d7855a157f539617d6214a1","score":"0.63923633","text":"public boolean isPresent() {\n return obj != null;\n }","title":""},{"docid":"447bbea9efdfc6190474a05b81e25c3b","score":"0.63442934","text":"public boolean contains(E elem) {\n clean();\n return data.containsKey(elem);\n }","title":""},{"docid":"dabdc6f99bd140d1f8af55ab3bf248ff","score":"0.63250226","text":"public boolean hasElement(int x, int y) {\n return elements[x][y] != null;\n }","title":""},{"docid":"c6738cfaa91c29b306585a95f5008d65","score":"0.6304966","text":"@Override\n\tpublic boolean contains(Object o) {\n\t\t// this list contains the element o if there is an index found for the element o\n\t\treturn indexOf(o) != -1;\n\t}","title":""},{"docid":"07511690be9e5fe5ebdd8d8cb912eb5f","score":"0.626921","text":"@Override\r\n\tpublic boolean contains(Object o) {\n\t\treturn false;\r\n\t}","title":""},{"docid":"07511690be9e5fe5ebdd8d8cb912eb5f","score":"0.626921","text":"@Override\r\n\tpublic boolean contains(Object o) {\n\t\treturn false;\r\n\t}","title":""},{"docid":"86973a4510495c0c70c82342ae650c72","score":"0.6265684","text":"public boolean contains(T x) {\n find(x);\n T element = (T) last[0].next[0].getElement();\n return element != null && element.equals(x);\n }","title":""},{"docid":"7121bdc8878f0db5e2e7c8b7de00046b","score":"0.6263296","text":"public boolean contains(Object obj) {\n return this.getBackingList().contains(obj);\n }","title":""},{"docid":"c18b9ef58d813df132076cb93c387adb","score":"0.6253989","text":"@Override\n\tpublic boolean contains(Object o) {\n\t\treturn false;\n\t}","title":""},{"docid":"d034f3096bde880f43ddfeb9c5648b57","score":"0.62536925","text":"@Override\n public boolean isOccupied(Position position) {\n if(elements.get(position) != null) {\n return true;\n } else return false;\n }","title":""},{"docid":"fdcfd0ff604c59b1c443c8ae00f8a3cb","score":"0.6245601","text":"@Override\n\t\t\tpublic boolean contains(Object o) {\n\t\t\t\treturn false;\n\t\t\t}","title":""},{"docid":"08ba64e34a9762d7ef79db8e3de5aa6b","score":"0.6242191","text":"public boolean isContainsEmbeddedObject();","title":""},{"docid":"8fef7c63371eb6962c5777c7cb2e3d9a","score":"0.623187","text":"public boolean contains(E obj) {\n \treturn (find(obj) != null);\n }","title":""},{"docid":"075f0d2fbbda988025a0592fadb7f159","score":"0.6224828","text":"public boolean contains(E elem) {\n return this.set.contains(elem);\n }","title":""},{"docid":"2cffce8df4d4a698b8eac49c7afa668c","score":"0.62148935","text":"protected abstract boolean contains(E elem);","title":""},{"docid":"156763e87e5ab38e7df366fb60a506b7","score":"0.620661","text":"public Boolean IsMember(E o){\n return head.contains(o);\n }","title":""},{"docid":"66174aecf23f6ce062267c7372bfc2ae","score":"0.6206462","text":"public boolean hasMoreElements() {\n return (curIdx < objs.length);\n }","title":""},{"docid":"bcb69f671ab21234f3002be714bba7e9","score":"0.61899436","text":"@Override\n\tpublic boolean contains(E obj) {\n\t\treturn obj == find(obj); //use find which will return null if no desired value found\n\t}","title":""},{"docid":"2a588bc3331846ea1755df222ddc295a","score":"0.6182973","text":"public boolean hasItem() {\n return itemBuilder_ != null || item_ != null;\n }","title":""},{"docid":"c45e08ac4acbd7301ae5e89d643fc2c5","score":"0.6181149","text":"public boolean contains(Object element){\n \n }","title":""},{"docid":"d645f54ddc5a3f375d15672d2335138b","score":"0.6176017","text":"public boolean contains( AnyType x )\n {\n return contains( x, root );\n }","title":""},{"docid":"99e89ba48b34fae6bb5985c045a3f6a5","score":"0.6164407","text":"@Override\n public boolean contains(Object o) {\n return indexOf(o) >= 0;\n }","title":""},{"docid":"62a0ce78197c793a8d4d9c892cbe4eea","score":"0.6164073","text":"public boolean hasArrayInfo() {\n return getArrayInfo() != null;\n }","title":""},{"docid":"55a0c5758b5562e06be6acf15ebf86e0","score":"0.6152381","text":"default boolean exists() {\n return firstOrNull() != null;\n }","title":""},{"docid":"55f2be26d135db7fc4954a07e4956102","score":"0.6151224","text":"public boolean hasItem() {\n return item_ != null;\n }","title":""},{"docid":"24eb897fa367ddf9de2d069c6f9226fa","score":"0.61451596","text":"protected boolean stackHaveOneItem () {\n if (1 == head.count()) {\n System.err.println(\"Stack have one item only.\");\n return true;\n }\n return false;\n }","title":""},{"docid":"d3b598101045dcc30023f8c8f76a879b","score":"0.61389905","text":"public boolean contains(Object o)\n {\n return false;\n }","title":""},{"docid":"2034ca302dfa5376e3316c4763986992","score":"0.6127658","text":"@Override\n\tpublic boolean hasAsElement(Object element) {\n\t\t// Re-implementation for reasons of efficiency.\n\t\treturn ((getRootElement() == null) && (element == null))\n\t\t\t\t|| ((getRootElement() != null) && getRootElement().equals(\n\t\t\t\t\t\telement)) || getLeftTree().hasAsElement(element)\n\t\t\t\t|| getRightTree().hasAsElement(element);\n\t}","title":""},{"docid":"ef25d76fe0fbc8f9ddd4202dc30ffc73","score":"0.6107748","text":"@Override\r\n public boolean contains(Object o) {\n return false;\r\n }","title":""},{"docid":"c65d357f7a239b64d29a647a9ae818ba","score":"0.60932004","text":"@Override\n public boolean isSet() {\n return children2 != null;\n }","title":""},{"docid":"b67b992e34afe40c71336240e03026b0","score":"0.60736406","text":"public boolean contains(Object element) {\n return l.contains(element);\n }","title":""},{"docid":"6bf5194b5ced07be0ada8e495dbb1c31","score":"0.6066956","text":"boolean hasObjKey();","title":""},{"docid":"4e85c51380c87168941cc21734570c44","score":"0.6065799","text":"public boolean isObjOverPos(){\n\t\treturn objOverPos.isEmpty() ? false : true;\n\t}","title":""},{"docid":"523c1bb78475b2360a3fa9153547c184","score":"0.60621935","text":"@Override\n\tpublic boolean contains(Key key) {\n\t\treturn this.get(key) != null;\n\t}","title":""},{"docid":"ae0472f82cd59d587977a5403102b234","score":"0.6056291","text":"public boolean contains(Object obj);","title":""},{"docid":"ae0472f82cd59d587977a5403102b234","score":"0.6056291","text":"public boolean contains(Object obj);","title":""},{"docid":"3254ebe23ba198c25cdc6b51feb18576","score":"0.6054657","text":"public boolean contains(Object obj){\n return (indexOf(obj) != -1);\n }","title":""},{"docid":"29caefd2e5cac4b7379a1f70e4f278fb","score":"0.60507005","text":"public boolean hasItem(){\n boolean result = false;\n for(Occupant occupant : occupants){\n if(occupant instanceof Item){\n result = true;\n }\n }\n return result;\n }","title":""},{"docid":"1b2991ec7448928d16dcb7dc32574e57","score":"0.6048925","text":"public boolean contains(Object el) {\n if (this.ceiling((T) el) == el) {\n return true;\n }\n return false;\n }","title":""},{"docid":"38f3e34c5d04a9839a63fdad1152fdf1","score":"0.6047223","text":"boolean contains( Object x );","title":""},{"docid":"0bbf3f1299936b5a63258f74f19a4b73","score":"0.603805","text":"public boolean arrayElementInArray(IElement el) throws RemoteException;","title":""},{"docid":"e1f2a67985888eb997e83fd0f4137245","score":"0.6033509","text":"public boolean isSetOther()\n {\n synchronized (monitor())\n {\n check_orphaned();\n return get_store().count_elements(OTHER$2) != 0;\n }\n }","title":""},{"docid":"7cb9253a16cb192083dde0e70e9d134a","score":"0.6031329","text":"public boolean hasNext() {\n return this.elems.accept(new ListVisitor<>() {\n public Boolean visitEmpty(Empty<X> mt) {\n return false;\n }\n public Boolean visitCons(Cons<X> cons) {\n return true;\n }\n });\n }","title":""},{"docid":"8af8c86440d5d624cf9ee482ff1a9e40","score":"0.60211504","text":"boolean hasItem();","title":""},{"docid":"62cb677bb0a09e433ac6bc6b90c36032","score":"0.60148245","text":"public boolean contains(AnyType x)\n {\n Node<AnyType> counter = beginMarker;\n for (int i = 0; i < theSize; i++)\n {\n counter = counter.next;\n if (counter.data.equals(x))\n return true;\n }\n return false;\n }","title":""},{"docid":"aaf11df777b9a77eb54668317b7ed670","score":"0.6006579","text":"public boolean isOnStack(Object obj) {\n for (int i = 0; i < this.cardinality + 1; i++) {\n if (this.elements[i].equals(obj)) {\n return true;\n }\n }\n return false;\n }","title":""},{"docid":"fec76b67e3d9056a8e508886f04848d2","score":"0.6005821","text":"@Override\n\t\tpublic boolean hasNext() {\n\t\t\treturn current != null;\n\t\t}","title":""},{"docid":"fdd4d135b5468d55cac0fa3de0eaa59b","score":"0.6004159","text":"protected final boolean hasContents() {\n return elementCount() > 0;\n }","title":""},{"docid":"e2932b40f11c74a78f373200fc51e575","score":"0.5992435","text":"public boolean contains(T element) {\n return hashMultiSet.containsKey(element);\n }","title":""},{"docid":"44449886de6481dcec4f74ac29738079","score":"0.5990724","text":"public boolean contains(E e) {\n\t\treturn false;\n\t}","title":""},{"docid":"0a6dfa6d49aafbaf6d31e54c5e93d841","score":"0.59812623","text":"public boolean hasStructure() {\n return structureBuilder_ != null || structure_ != null;\n }","title":""},{"docid":"bc2fec071ddfce6d464b3a50d9fb0125","score":"0.59725326","text":"boolean hasIsParentSetElement();","title":""},{"docid":"ca0ab4f715a83a5f01ca30dfd4c2e5f6","score":"0.5969002","text":"public boolean member(Key key){\n return get(key) != null;\n }","title":""},{"docid":"5da4af14760c08b93887e4c80af5d6d8","score":"0.5967761","text":"boolean hasStructure();","title":""},{"docid":"6162de3db86b1818cc291b3093d5857d","score":"0.5967411","text":"public boolean hasNested() {\n\t\treturn nested!=null;\n\t}","title":""},{"docid":"0d1ee5865e5adac5a3b2a670d0c2deab","score":"0.596532","text":"public boolean contains(E element);","title":""},{"docid":"b9d1c0ca23c524edab2bf5421a9ee4b7","score":"0.5963442","text":"public boolean contains(E element) {\n for (int i=0; i<size; i++) {\n //Must use a .equals rather than == because it may not be off a primitve type due to the generic nature of the arraylist.\n if(this.array[i].equals(element)) {\n return true;\n }\n }\n return false;\n }","title":""},{"docid":"a058458522a12fba2917d96a2fed3866","score":"0.59602","text":"@Override\n public boolean isSet() {\n return children2Self2SelfLinks != null;\n }","title":""},{"docid":"a7a2a4c5e999abdcafb981d4c4822fde","score":"0.5950419","text":"@Override\n\t\tpublic boolean hasNext() {\n\t\t\treturn current !=null;\n\t\t}","title":""},{"docid":"4f95aa7bfc0e6810554ae285b42f985f","score":"0.5943134","text":"public boolean contains(E k) {\n return get(k) != null; \n }","title":""},{"docid":"4941ff12ef5130118523915f2d8dceda","score":"0.593015","text":"public boolean containsEnemy(){\n return this.enemy != null;\n }","title":""},{"docid":"e602df74c09aabb74f58abb01916a973","score":"0.5930065","text":"public boolean esta(int elem) {\n Nodo actual = primero;\r\n\r\n while (actual != null && actual.getElem() != elem) { //Mientras actual no sea null y sea distinto del elemento buscado\r\n actual = actual.getSig(); //Pasa al siguiente elemento\r\n }\r\n\r\n return actual != null; //Devuelve el elemento buscado que no sea null\r\n /**\r\n * Es equivalente a:\r\n *\r\n * if(actual != null) return true; else return false;\r\n */\r\n }","title":""},{"docid":"31167c09d47afa9d619ea038a963ca40","score":"0.5923937","text":"@Override\r\n\t/**\r\n\t * 判断集合中是否含有对象o\r\n\t * 判断的时候一定要讨论是否o为null，如果o为null是不能采用equal方法进行比较的。\r\n\t * @throws ClassCastException {@inheritDoc}\r\n\t * @throws NullPointerException {@inheritDoc}\r\n\t */\r\n\tpublic boolean contains(Object o) {\n\t\tMIterator<E> it = iterator();\r\n\r\n\t\tif (o == null) {\r\n\t\t\twhile (it.hasNext()) {\r\n\t\t\t\tif (it.next() == null) {\r\n\t\t\t\t\treturn true;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t} else {\r\n\t\t\twhile (it.hasNext()) {\r\n\t\t\t\t// 此处千万不能使用it.next().equals(o),因为it.next还是可以为空 导致异常\r\n\t\t\t\tif (o.equals(it.next())) {\r\n\t\t\t\t\treturn true;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\treturn false;\r\n\t}","title":""},{"docid":"69b8023a87c14ba1431eecee8e241ea7","score":"0.5923326","text":"public boolean hasNext() {\n\t\t\treturn current != null;\n\t\t}","title":""},{"docid":"67e4155bdfa5603a166ffffa3345e9fa","score":"0.59073997","text":"public boolean contains(T anElement);","title":""},{"docid":"e1ba8a576c72cd73b0614bc52e6f9f39","score":"0.5904997","text":"@Override\n public boolean contains(final T o) {\n return heapData.contains(o);\n }","title":""},{"docid":"aa189b253fe4abad58e0b1cb607986f1","score":"0.5902648","text":"public boolean hasStuff() {\n return stuff_ != null;\n }","title":""},{"docid":"911266f625d79f28c4005d5190ea8feb","score":"0.5899752","text":"@Override\n\tpublic boolean contains(Object o) {\n\t\tif (o instanceof Comparable<?>) {\n\t\t\t@SuppressWarnings(\"unchecked\")\n\t\t\tE element = (E)o;\n\t\t\n\t\t\treturn this.find(element) != null;\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t}","title":""},{"docid":"28fb52ae52f697ee16821623f215e2e5","score":"0.5896222","text":"@Override\n public boolean isSet() {\n return parents2 != null;\n }","title":""},{"docid":"66428f3d9a51a1cfaf39395be34acb2b","score":"0.5886132","text":"@Override\n public boolean contains(Object o){\n if (o == null){return false;}\n //From Tutoring, Jeff\n if (!(Comparable.class.isAssignableFrom(o.getClass()))){\n return false;\n }if(this.root == null)\n return false;\n //Check if we can do a casting\n if (o.getClass() == root.data.getClass()){\n E m = (E) o;\n if (this.get(m) != null){\n return true;\n }\n }\n /*\n @SuppressWarnings(\"unchecked\")\n E m = (E) o;\n if (this.get(m) != null){\n return true;\n }\n */\n return false;\n }","title":""},{"docid":"8b6299af64e54f1273bc4d83e238689a","score":"0.5879614","text":"public boolean isIn(Object ob){\n\t\tfor(int i = 0; i < size; i ++){\n\t\t\tif(objectList[i].equals(ob)){\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn false;\n\t}","title":""},{"docid":"30af60d461e8fac8c0294c589ca8eed8","score":"0.5875533","text":"@Override\n\tpublic boolean contains(E data) {\n\t\tif (data != null) {\n\t\t\tfor (int i = 0; i < size; i++) {\n\t\t\t\tif (((Comparable<E>)arr[i]).compareTo(data) == 0) {\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\t\treturn false;\n\t}","title":""},{"docid":"34b26ec33acaa448eef3411735a8cf95","score":"0.58737683","text":"boolean hasChild();","title":""},{"docid":"6f9adef7d5c517eb46e0ff604cb304b0","score":"0.5873056","text":"@java.lang.Override\n public boolean hasStructure() {\n return structure_ != null;\n }","title":""},{"docid":"075179c77d73508439c30788d89d77da","score":"0.58720005","text":"public boolean contains(T element);","title":""},{"docid":"ec23cad2a9b9013134f22c8cef50589b","score":"0.5869013","text":"public boolean isEmpty() {\r\n return first == null;\r\n }","title":""},{"docid":"b26579482a8bac2bb3a8ed8c1285393d","score":"0.5867192","text":"public boolean contains(T element) {\n return this.contents.contains(element);\n }","title":""},{"docid":"658e708d7830bbd16ac1f6611125efe8","score":"0.5867001","text":"public boolean isEmpty() { return first == null; }","title":""},{"docid":"9dda2d57ebb7922e138fe1de0da0781a","score":"0.58634543","text":"@Override\r\n public boolean contains(Object o) {\r\n if (o == null) {\r\n throw new NullPointerException(\"Object is null\");\r\n }\r\n Node<E> tmp = first;\r\n while (tmp != null) {\r\n if (o.equals(tmp.item)) {\r\n return true;\r\n }\r\n tmp = tmp.next;\r\n }\r\n return false;\r\n }","title":""},{"docid":"7c83edbffb12a977d18d974a9d206633","score":"0.58633393","text":"public boolean isEmpty(){\n\t\treturn (first == null);\n\t}","title":""},{"docid":"e56c95cff7cac47ed4a13b8aa2fb0955","score":"0.58626133","text":"public boolean hasNextElement();","title":""},{"docid":"aa8aa9570d824d2a1bf8b6e346b1d903","score":"0.58601445","text":"public boolean isContainer() {\n return this == container || this == combined;\n }","title":""},{"docid":"9f2e0ddd81fe4f6e4357ff6779ba46ed","score":"0.5852214","text":"public boolean isEmpty() {\n\t\treturn first == null;\n\t}","title":""},{"docid":"0846a1ad3946b73a1a39da36d5396fe3","score":"0.5849656","text":"public boolean contains(E element){\n\tif(containsIdx(element) == -1){\n\t return false;\n\t}\n\telse{\n\t return true;\n\t}\n }","title":""},{"docid":"dbbc4e87f0e118dc856bdf03978cfdc1","score":"0.584856","text":"public boolean inStack (Object x) {\r\n boolean resp = false;\r\n for (CCell aux = top; aux != null; aux = aux.next) {\r\n if (aux.item.equals(x))\r\n resp = true;\r\n }\r\n return resp;\r\n }","title":""},{"docid":"def8258f37ac0987a88d383af220bca8","score":"0.58476317","text":"@Override\n\tpublic boolean hasNext() {\n\t\tfor (int i = this.cursor; i < array.length; i++) {\n\t\t\tif (this.array[i] != null) {\n\t\t\t\tthis.cursor = i;\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn false;\n\t}","title":""},{"docid":"202eeca1bb99df9f266729d3dcb5ea80","score":"0.5843762","text":"public boolean hasChildren(Object element)\n\t{\n\t\treturn getChildren(element).length > 0;\n\t}","title":""},{"docid":"d7d20451b1c8d6926d96f119f2b8e0ab","score":"0.5842853","text":"public boolean hasStuff() {\n return stuffBuilder_ != null || stuff_ != null;\n }","title":""},{"docid":"82a12fdeb040e138e3829b7b99fd2077","score":"0.58416057","text":"@Override\n\tpublic boolean isContain(T data) {\n\t\tfor(int i=0;i<n;i++) {\n\t\t\tif(list[i].equals(data)) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn false;\n\t}","title":""},{"docid":"2ed7e418819071de2f137c24a7afbfd9","score":"0.5832624","text":"public boolean contains( AnyType x )\n {\n List<AnyType> whichList = theLists[ myhash( x ) ];\n return whichList.contains( x );\n }","title":""}],"string":"[\n {\n \"docid\": \"31c1d42990b08a911184c3e11e9136e9\",\n \"score\": \"0.70698726\",\n \"text\": \"public boolean hasElement() {\\n return instance.hasElement();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b96d57712a2978403ff8d9e5a5cafd50\",\n \"score\": \"0.66940755\",\n \"text\": \"@Override\\n public boolean contains(Object obj) {\\n return index(obj) >= 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"269916664ab28ac552b4e4f5bcecefd5\",\n \"score\": \"0.659213\",\n \"text\": \"boolean hasElement();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"904a4a1bd9afd88d6d1f2ef937949a3e\",\n \"score\": \"0.65767854\",\n \"text\": \"@Override\\n public boolean contains(T elem) {\\n return Arrays.binarySearch(elements, 0, size, elem) >= 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"76f43a4a240161189727c088ff7f4536\",\n \"score\": \"0.65503746\",\n \"text\": \"public boolean contains(Object element) { return elements.contains(element); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b77a7e57b6ec7ebcd32ca23bcda3c4c8\",\n \"score\": \"0.65295506\",\n \"text\": \"boolean hasObject();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"acfc815f2bb4a03347491f06052dae70\",\n \"score\": \"0.6437516\",\n \"text\": \"@Override\\r\\n\\tpublic boolean contains(Object arg0) {\\n\\t\\treturn false;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c6fedea4c26e96535a3d32794522550a\",\n \"score\": \"0.64249367\",\n \"text\": \"@Override\\n\\tpublic boolean contains(Object o) throws NullPointerException {\\n\\t\\tif (o == null) {\\n\\t\\t\\tthrow new NullPointerException();\\n\\t\\t}\\n\\t\\t\\n\\t\\tfor (E element : this.elements) {\\n\\t\\t\\tif (element.equals(o)) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f0f7ffb04d07c86ff5a266d4d6ac1c7e\",\n \"score\": \"0.6403888\",\n \"text\": \"public boolean hasElement() {\\n return ((bitField0_ & 0x00000001) == 0x00000001);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"19c1eaaf99576b9fac71afc4c33ea2d4\",\n \"score\": \"0.6397908\",\n \"text\": \"@Override\\n\\tpublic boolean contains(Object arg0) {\\n\\t\\treturn false;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"92382aa415bc26953101d502da488579\",\n \"score\": \"0.63969576\",\n \"text\": \"public boolean has(T t) {\\n return (t.equals(this.first)) || this.rest.has(t);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1af6389e0d7855a157f539617d6214a1\",\n \"score\": \"0.63923633\",\n \"text\": \"public boolean isPresent() {\\n return obj != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"447bbea9efdfc6190474a05b81e25c3b\",\n \"score\": \"0.63442934\",\n \"text\": \"public boolean contains(E elem) {\\n clean();\\n return data.containsKey(elem);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dabdc6f99bd140d1f8af55ab3bf248ff\",\n \"score\": \"0.63250226\",\n \"text\": \"public boolean hasElement(int x, int y) {\\n return elements[x][y] != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c6738cfaa91c29b306585a95f5008d65\",\n \"score\": \"0.6304966\",\n \"text\": \"@Override\\n\\tpublic boolean contains(Object o) {\\n\\t\\t// this list contains the element o if there is an index found for the element o\\n\\t\\treturn indexOf(o) != -1;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"07511690be9e5fe5ebdd8d8cb912eb5f\",\n \"score\": \"0.626921\",\n \"text\": \"@Override\\r\\n\\tpublic boolean contains(Object o) {\\n\\t\\treturn false;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"07511690be9e5fe5ebdd8d8cb912eb5f\",\n \"score\": \"0.626921\",\n \"text\": \"@Override\\r\\n\\tpublic boolean contains(Object o) {\\n\\t\\treturn false;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86973a4510495c0c70c82342ae650c72\",\n \"score\": \"0.6265684\",\n \"text\": \"public boolean contains(T x) {\\n find(x);\\n T element = (T) last[0].next[0].getElement();\\n return element != null && element.equals(x);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7121bdc8878f0db5e2e7c8b7de00046b\",\n \"score\": \"0.6263296\",\n \"text\": \"public boolean contains(Object obj) {\\n return this.getBackingList().contains(obj);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c18b9ef58d813df132076cb93c387adb\",\n \"score\": \"0.6253989\",\n \"text\": \"@Override\\n\\tpublic boolean contains(Object o) {\\n\\t\\treturn false;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d034f3096bde880f43ddfeb9c5648b57\",\n \"score\": \"0.62536925\",\n \"text\": \"@Override\\n public boolean isOccupied(Position position) {\\n if(elements.get(position) != null) {\\n return true;\\n } else return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fdcfd0ff604c59b1c443c8ae00f8a3cb\",\n \"score\": \"0.6245601\",\n \"text\": \"@Override\\n\\t\\t\\tpublic boolean contains(Object o) {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"08ba64e34a9762d7ef79db8e3de5aa6b\",\n \"score\": \"0.6242191\",\n \"text\": \"public boolean isContainsEmbeddedObject();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8fef7c63371eb6962c5777c7cb2e3d9a\",\n \"score\": \"0.623187\",\n \"text\": \"public boolean contains(E obj) {\\n \\treturn (find(obj) != null);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"075f0d2fbbda988025a0592fadb7f159\",\n \"score\": \"0.6224828\",\n \"text\": \"public boolean contains(E elem) {\\n return this.set.contains(elem);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2cffce8df4d4a698b8eac49c7afa668c\",\n \"score\": \"0.62148935\",\n \"text\": \"protected abstract boolean contains(E elem);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"156763e87e5ab38e7df366fb60a506b7\",\n \"score\": \"0.620661\",\n \"text\": \"public Boolean IsMember(E o){\\n return head.contains(o);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"66174aecf23f6ce062267c7372bfc2ae\",\n \"score\": \"0.6206462\",\n \"text\": \"public boolean hasMoreElements() {\\n return (curIdx < objs.length);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bcb69f671ab21234f3002be714bba7e9\",\n \"score\": \"0.61899436\",\n \"text\": \"@Override\\n\\tpublic boolean contains(E obj) {\\n\\t\\treturn obj == find(obj); //use find which will return null if no desired value found\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a588bc3331846ea1755df222ddc295a\",\n \"score\": \"0.6182973\",\n \"text\": \"public boolean hasItem() {\\n return itemBuilder_ != null || item_ != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c45e08ac4acbd7301ae5e89d643fc2c5\",\n \"score\": \"0.6181149\",\n \"text\": \"public boolean contains(Object element){\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d645f54ddc5a3f375d15672d2335138b\",\n \"score\": \"0.6176017\",\n \"text\": \"public boolean contains( AnyType x )\\n {\\n return contains( x, root );\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99e89ba48b34fae6bb5985c045a3f6a5\",\n \"score\": \"0.6164407\",\n \"text\": \"@Override\\n public boolean contains(Object o) {\\n return indexOf(o) >= 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"62a0ce78197c793a8d4d9c892cbe4eea\",\n \"score\": \"0.6164073\",\n \"text\": \"public boolean hasArrayInfo() {\\n return getArrayInfo() != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"55a0c5758b5562e06be6acf15ebf86e0\",\n \"score\": \"0.6152381\",\n \"text\": \"default boolean exists() {\\n return firstOrNull() != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"55f2be26d135db7fc4954a07e4956102\",\n \"score\": \"0.6151224\",\n \"text\": \"public boolean hasItem() {\\n return item_ != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"24eb897fa367ddf9de2d069c6f9226fa\",\n \"score\": \"0.61451596\",\n \"text\": \"protected boolean stackHaveOneItem () {\\n if (1 == head.count()) {\\n System.err.println(\\\"Stack have one item only.\\\");\\n return true;\\n }\\n return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d3b598101045dcc30023f8c8f76a879b\",\n \"score\": \"0.61389905\",\n \"text\": \"public boolean contains(Object o)\\n {\\n return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2034ca302dfa5376e3316c4763986992\",\n \"score\": \"0.6127658\",\n \"text\": \"@Override\\n\\tpublic boolean hasAsElement(Object element) {\\n\\t\\t// Re-implementation for reasons of efficiency.\\n\\t\\treturn ((getRootElement() == null) && (element == null))\\n\\t\\t\\t\\t|| ((getRootElement() != null) && getRootElement().equals(\\n\\t\\t\\t\\t\\t\\telement)) || getLeftTree().hasAsElement(element)\\n\\t\\t\\t\\t|| getRightTree().hasAsElement(element);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef25d76fe0fbc8f9ddd4202dc30ffc73\",\n \"score\": \"0.6107748\",\n \"text\": \"@Override\\r\\n public boolean contains(Object o) {\\n return false;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c65d357f7a239b64d29a647a9ae818ba\",\n \"score\": \"0.60932004\",\n \"text\": \"@Override\\n public boolean isSet() {\\n return children2 != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b67b992e34afe40c71336240e03026b0\",\n \"score\": \"0.60736406\",\n \"text\": \"public boolean contains(Object element) {\\n return l.contains(element);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6bf5194b5ced07be0ada8e495dbb1c31\",\n \"score\": \"0.6066956\",\n \"text\": \"boolean hasObjKey();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e85c51380c87168941cc21734570c44\",\n \"score\": \"0.6065799\",\n \"text\": \"public boolean isObjOverPos(){\\n\\t\\treturn objOverPos.isEmpty() ? false : true;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"523c1bb78475b2360a3fa9153547c184\",\n \"score\": \"0.60621935\",\n \"text\": \"@Override\\n\\tpublic boolean contains(Key key) {\\n\\t\\treturn this.get(key) != null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ae0472f82cd59d587977a5403102b234\",\n \"score\": \"0.6056291\",\n \"text\": \"public boolean contains(Object obj);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ae0472f82cd59d587977a5403102b234\",\n \"score\": \"0.6056291\",\n \"text\": \"public boolean contains(Object obj);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3254ebe23ba198c25cdc6b51feb18576\",\n \"score\": \"0.6054657\",\n \"text\": \"public boolean contains(Object obj){\\n return (indexOf(obj) != -1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"29caefd2e5cac4b7379a1f70e4f278fb\",\n \"score\": \"0.60507005\",\n \"text\": \"public boolean hasItem(){\\n boolean result = false;\\n for(Occupant occupant : occupants){\\n if(occupant instanceof Item){\\n result = true;\\n }\\n }\\n return result;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1b2991ec7448928d16dcb7dc32574e57\",\n \"score\": \"0.6048925\",\n \"text\": \"public boolean contains(Object el) {\\n if (this.ceiling((T) el) == el) {\\n return true;\\n }\\n return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"38f3e34c5d04a9839a63fdad1152fdf1\",\n \"score\": \"0.6047223\",\n \"text\": \"boolean contains( Object x );\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0bbf3f1299936b5a63258f74f19a4b73\",\n \"score\": \"0.603805\",\n \"text\": \"public boolean arrayElementInArray(IElement el) throws RemoteException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e1f2a67985888eb997e83fd0f4137245\",\n \"score\": \"0.6033509\",\n \"text\": \"public boolean isSetOther()\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n return get_store().count_elements(OTHER$2) != 0;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7cb9253a16cb192083dde0e70e9d134a\",\n \"score\": \"0.6031329\",\n \"text\": \"public boolean hasNext() {\\n return this.elems.accept(new ListVisitor<>() {\\n public Boolean visitEmpty(Empty<X> mt) {\\n return false;\\n }\\n public Boolean visitCons(Cons<X> cons) {\\n return true;\\n }\\n });\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8af8c86440d5d624cf9ee482ff1a9e40\",\n \"score\": \"0.60211504\",\n \"text\": \"boolean hasItem();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"62cb677bb0a09e433ac6bc6b90c36032\",\n \"score\": \"0.60148245\",\n \"text\": \"public boolean contains(AnyType x)\\n {\\n Node<AnyType> counter = beginMarker;\\n for (int i = 0; i < theSize; i++)\\n {\\n counter = counter.next;\\n if (counter.data.equals(x))\\n return true;\\n }\\n return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aaf11df777b9a77eb54668317b7ed670\",\n \"score\": \"0.6006579\",\n \"text\": \"public boolean isOnStack(Object obj) {\\n for (int i = 0; i < this.cardinality + 1; i++) {\\n if (this.elements[i].equals(obj)) {\\n return true;\\n }\\n }\\n return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fec76b67e3d9056a8e508886f04848d2\",\n \"score\": \"0.6005821\",\n \"text\": \"@Override\\n\\t\\tpublic boolean hasNext() {\\n\\t\\t\\treturn current != null;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fdd4d135b5468d55cac0fa3de0eaa59b\",\n \"score\": \"0.6004159\",\n \"text\": \"protected final boolean hasContents() {\\n return elementCount() > 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e2932b40f11c74a78f373200fc51e575\",\n \"score\": \"0.5992435\",\n \"text\": \"public boolean contains(T element) {\\n return hashMultiSet.containsKey(element);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"44449886de6481dcec4f74ac29738079\",\n \"score\": \"0.5990724\",\n \"text\": \"public boolean contains(E e) {\\n\\t\\treturn false;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0a6dfa6d49aafbaf6d31e54c5e93d841\",\n \"score\": \"0.59812623\",\n \"text\": \"public boolean hasStructure() {\\n return structureBuilder_ != null || structure_ != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc2fec071ddfce6d464b3a50d9fb0125\",\n \"score\": \"0.59725326\",\n \"text\": \"boolean hasIsParentSetElement();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ca0ab4f715a83a5f01ca30dfd4c2e5f6\",\n \"score\": \"0.5969002\",\n \"text\": \"public boolean member(Key key){\\n return get(key) != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5da4af14760c08b93887e4c80af5d6d8\",\n \"score\": \"0.5967761\",\n \"text\": \"boolean hasStructure();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6162de3db86b1818cc291b3093d5857d\",\n \"score\": \"0.5967411\",\n \"text\": \"public boolean hasNested() {\\n\\t\\treturn nested!=null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0d1ee5865e5adac5a3b2a670d0c2deab\",\n \"score\": \"0.596532\",\n \"text\": \"public boolean contains(E element);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b9d1c0ca23c524edab2bf5421a9ee4b7\",\n \"score\": \"0.5963442\",\n \"text\": \"public boolean contains(E element) {\\n for (int i=0; i<size; i++) {\\n //Must use a .equals rather than == because it may not be off a primitve type due to the generic nature of the arraylist.\\n if(this.array[i].equals(element)) {\\n return true;\\n }\\n }\\n return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a058458522a12fba2917d96a2fed3866\",\n \"score\": \"0.59602\",\n \"text\": \"@Override\\n public boolean isSet() {\\n return children2Self2SelfLinks != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7a2a4c5e999abdcafb981d4c4822fde\",\n \"score\": \"0.5950419\",\n \"text\": \"@Override\\n\\t\\tpublic boolean hasNext() {\\n\\t\\t\\treturn current !=null;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4f95aa7bfc0e6810554ae285b42f985f\",\n \"score\": \"0.5943134\",\n \"text\": \"public boolean contains(E k) {\\n return get(k) != null; \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4941ff12ef5130118523915f2d8dceda\",\n \"score\": \"0.593015\",\n \"text\": \"public boolean containsEnemy(){\\n return this.enemy != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e602df74c09aabb74f58abb01916a973\",\n \"score\": \"0.5930065\",\n \"text\": \"public boolean esta(int elem) {\\n Nodo actual = primero;\\r\\n\\r\\n while (actual != null && actual.getElem() != elem) { //Mientras actual no sea null y sea distinto del elemento buscado\\r\\n actual = actual.getSig(); //Pasa al siguiente elemento\\r\\n }\\r\\n\\r\\n return actual != null; //Devuelve el elemento buscado que no sea null\\r\\n /**\\r\\n * Es equivalente a:\\r\\n *\\r\\n * if(actual != null) return true; else return false;\\r\\n */\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"31167c09d47afa9d619ea038a963ca40\",\n \"score\": \"0.5923937\",\n \"text\": \"@Override\\r\\n\\t/**\\r\\n\\t * 判断集合中是否含有对象o\\r\\n\\t * 判断的时候一定要讨论是否o为null，如果o为null是不能采用equal方法进行比较的。\\r\\n\\t * @throws ClassCastException {@inheritDoc}\\r\\n\\t * @throws NullPointerException {@inheritDoc}\\r\\n\\t */\\r\\n\\tpublic boolean contains(Object o) {\\n\\t\\tMIterator<E> it = iterator();\\r\\n\\r\\n\\t\\tif (o == null) {\\r\\n\\t\\t\\twhile (it.hasNext()) {\\r\\n\\t\\t\\t\\tif (it.next() == null) {\\r\\n\\t\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t} else {\\r\\n\\t\\t\\twhile (it.hasNext()) {\\r\\n\\t\\t\\t\\t// 此处千万不能使用it.next().equals(o),因为it.next还是可以为空 导致异常\\r\\n\\t\\t\\t\\tif (o.equals(it.next())) {\\r\\n\\t\\t\\t\\t\\treturn true;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69b8023a87c14ba1431eecee8e241ea7\",\n \"score\": \"0.5923326\",\n \"text\": \"public boolean hasNext() {\\n\\t\\t\\treturn current != null;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"67e4155bdfa5603a166ffffa3345e9fa\",\n \"score\": \"0.59073997\",\n \"text\": \"public boolean contains(T anElement);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e1ba8a576c72cd73b0614bc52e6f9f39\",\n \"score\": \"0.5904997\",\n \"text\": \"@Override\\n public boolean contains(final T o) {\\n return heapData.contains(o);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aa189b253fe4abad58e0b1cb607986f1\",\n \"score\": \"0.5902648\",\n \"text\": \"public boolean hasStuff() {\\n return stuff_ != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"911266f625d79f28c4005d5190ea8feb\",\n \"score\": \"0.5899752\",\n \"text\": \"@Override\\n\\tpublic boolean contains(Object o) {\\n\\t\\tif (o instanceof Comparable<?>) {\\n\\t\\t\\t@SuppressWarnings(\\\"unchecked\\\")\\n\\t\\t\\tE element = (E)o;\\n\\t\\t\\n\\t\\t\\treturn this.find(element) != null;\\n\\t\\t} else {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"28fb52ae52f697ee16821623f215e2e5\",\n \"score\": \"0.5896222\",\n \"text\": \"@Override\\n public boolean isSet() {\\n return parents2 != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"66428f3d9a51a1cfaf39395be34acb2b\",\n \"score\": \"0.5886132\",\n \"text\": \"@Override\\n public boolean contains(Object o){\\n if (o == null){return false;}\\n //From Tutoring, Jeff\\n if (!(Comparable.class.isAssignableFrom(o.getClass()))){\\n return false;\\n }if(this.root == null)\\n return false;\\n //Check if we can do a casting\\n if (o.getClass() == root.data.getClass()){\\n E m = (E) o;\\n if (this.get(m) != null){\\n return true;\\n }\\n }\\n /*\\n @SuppressWarnings(\\\"unchecked\\\")\\n E m = (E) o;\\n if (this.get(m) != null){\\n return true;\\n }\\n */\\n return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b6299af64e54f1273bc4d83e238689a\",\n \"score\": \"0.5879614\",\n \"text\": \"public boolean isIn(Object ob){\\n\\t\\tfor(int i = 0; i < size; i ++){\\n\\t\\t\\tif(objectList[i].equals(ob)){\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"30af60d461e8fac8c0294c589ca8eed8\",\n \"score\": \"0.5875533\",\n \"text\": \"@Override\\n\\tpublic boolean contains(E data) {\\n\\t\\tif (data != null) {\\n\\t\\t\\tfor (int i = 0; i < size; i++) {\\n\\t\\t\\t\\tif (((Comparable<E>)arr[i]).compareTo(data) == 0) {\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"34b26ec33acaa448eef3411735a8cf95\",\n \"score\": \"0.58737683\",\n \"text\": \"boolean hasChild();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6f9adef7d5c517eb46e0ff604cb304b0\",\n \"score\": \"0.5873056\",\n \"text\": \"@java.lang.Override\\n public boolean hasStructure() {\\n return structure_ != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"075179c77d73508439c30788d89d77da\",\n \"score\": \"0.58720005\",\n \"text\": \"public boolean contains(T element);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ec23cad2a9b9013134f22c8cef50589b\",\n \"score\": \"0.5869013\",\n \"text\": \"public boolean isEmpty() {\\r\\n return first == null;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b26579482a8bac2bb3a8ed8c1285393d\",\n \"score\": \"0.5867192\",\n \"text\": \"public boolean contains(T element) {\\n return this.contents.contains(element);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"658e708d7830bbd16ac1f6611125efe8\",\n \"score\": \"0.5867001\",\n \"text\": \"public boolean isEmpty() { return first == null; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9dda2d57ebb7922e138fe1de0da0781a\",\n \"score\": \"0.58634543\",\n \"text\": \"@Override\\r\\n public boolean contains(Object o) {\\r\\n if (o == null) {\\r\\n throw new NullPointerException(\\\"Object is null\\\");\\r\\n }\\r\\n Node<E> tmp = first;\\r\\n while (tmp != null) {\\r\\n if (o.equals(tmp.item)) {\\r\\n return true;\\r\\n }\\r\\n tmp = tmp.next;\\r\\n }\\r\\n return false;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7c83edbffb12a977d18d974a9d206633\",\n \"score\": \"0.58633393\",\n \"text\": \"public boolean isEmpty(){\\n\\t\\treturn (first == null);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e56c95cff7cac47ed4a13b8aa2fb0955\",\n \"score\": \"0.58626133\",\n \"text\": \"public boolean hasNextElement();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aa8aa9570d824d2a1bf8b6e346b1d903\",\n \"score\": \"0.58601445\",\n \"text\": \"public boolean isContainer() {\\n return this == container || this == combined;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f2e0ddd81fe4f6e4357ff6779ba46ed\",\n \"score\": \"0.5852214\",\n \"text\": \"public boolean isEmpty() {\\n\\t\\treturn first == null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0846a1ad3946b73a1a39da36d5396fe3\",\n \"score\": \"0.5849656\",\n \"text\": \"public boolean contains(E element){\\n\\tif(containsIdx(element) == -1){\\n\\t return false;\\n\\t}\\n\\telse{\\n\\t return true;\\n\\t}\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dbbc4e87f0e118dc856bdf03978cfdc1\",\n \"score\": \"0.584856\",\n \"text\": \"public boolean inStack (Object x) {\\r\\n boolean resp = false;\\r\\n for (CCell aux = top; aux != null; aux = aux.next) {\\r\\n if (aux.item.equals(x))\\r\\n resp = true;\\r\\n }\\r\\n return resp;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"def8258f37ac0987a88d383af220bca8\",\n \"score\": \"0.58476317\",\n \"text\": \"@Override\\n\\tpublic boolean hasNext() {\\n\\t\\tfor (int i = this.cursor; i < array.length; i++) {\\n\\t\\t\\tif (this.array[i] != null) {\\n\\t\\t\\t\\tthis.cursor = i;\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"202eeca1bb99df9f266729d3dcb5ea80\",\n \"score\": \"0.5843762\",\n \"text\": \"public boolean hasChildren(Object element)\\n\\t{\\n\\t\\treturn getChildren(element).length > 0;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d7d20451b1c8d6926d96f119f2b8e0ab\",\n \"score\": \"0.5842853\",\n \"text\": \"public boolean hasStuff() {\\n return stuffBuilder_ != null || stuff_ != null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"82a12fdeb040e138e3829b7b99fd2077\",\n \"score\": \"0.58416057\",\n \"text\": \"@Override\\n\\tpublic boolean isContain(T data) {\\n\\t\\tfor(int i=0;i<n;i++) {\\n\\t\\t\\tif(list[i].equals(data)) {\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ed7e418819071de2f137c24a7afbfd9\",\n \"score\": \"0.5832624\",\n \"text\": \"public boolean contains( AnyType x )\\n {\\n List<AnyType> whichList = theLists[ myhash( x ) ];\\n return whichList.contains( x );\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992488,"cells":{"query_id":{"kind":"string","value":"d35d747ff73bbebf7a2bbcf64df8c056"},"query":{"kind":"string","value":"Symbol (im Regelfall der ISOCode) der Einheit \"CurrencyID\" .dstore.values.StringValue currency = 10013;"},"positive_passages":{"kind":"list like","value":[{"docid":"8215a1b76b24740db615aa0d534699d2","score":"0.5674347","text":"public io.dstore.values.StringValue getCurrency() {\n if (currencyBuilder_ == null) {\n return currency_ == null ? io.dstore.values.StringValue.getDefaultInstance() : currency_;\n } else {\n return currencyBuilder_.getMessage();\n }\n }","title":""}],"string":"[\n {\n \"docid\": \"8215a1b76b24740db615aa0d534699d2\",\n \"score\": \"0.5674347\",\n \"text\": \"public io.dstore.values.StringValue getCurrency() {\\n if (currencyBuilder_ == null) {\\n return currency_ == null ? io.dstore.values.StringValue.getDefaultInstance() : currency_;\\n } else {\\n return currencyBuilder_.getMessage();\\n }\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"c2b43e199e5f587c9a81b0eaff334121","score":"0.7622318","text":"io.dstore.values.StringValue getCurrency();","title":""},{"docid":"17e09e1bf1afc139471df171410f4d29","score":"0.66516757","text":"public String getCurrencySymbol() {\n\t\tbyte[] arr = m_struct.CurrencyString;\n\t\t\n\t\tint length = Math.min(NotesStringUtils.getNullTerminatedLength(arr), arr.length-1);\n\t\tDisposableMemory mem = new DisposableMemory(length);\n\t\tmem.write(0, arr, 0, length);\n\t\tString str = NotesStringUtils.fromLMBCS(mem, length);\n\t\tmem.dispose();\n\t\treturn str;\n\t}","title":""},{"docid":"a99d30d3be31d75c5299774ddc79424c","score":"0.6516598","text":"public static String get_a_currency_symbol() {\n\t\treturn conv_val.get(active_currency_pos)[3];\n\t}","title":""},{"docid":"317f2bc637bf783a872ab00ae2b05a29","score":"0.6433398","text":"String getCUR_CurrencyCode();","title":""},{"docid":"108a24030bc0b29003801648263bad2e","score":"0.64286864","text":"@Override\r\n public String getCurrencyLabel() {\r\n return currency[1];\r\n }","title":""},{"docid":"00fcaa56baef9949b01d6f59dccdfaaa","score":"0.64058244","text":"String getCurrency();","title":""},{"docid":"239506e24b596c3b6adf4ab9f476360e","score":"0.6394574","text":"public void setC_Currency_ID (int C_Currency_ID)\n{\nset_Value (\"C_Currency_ID\", new Integer(C_Currency_ID));\n}","title":""},{"docid":"aeef999c772e90e3362448c141f83039","score":"0.63836426","text":"io.dstore.values.StringValueOrBuilder getCurrencyOrBuilder();","title":""},{"docid":"9d3f2c25bb42c48349c4806868292325","score":"0.63595575","text":"public String getCurrency();","title":""},{"docid":"97b0e6b717ad53bf7dcb931732f75e44","score":"0.63458204","text":"public void setCURRENCY(CharSequence value) {\n this.CURRENCY = value;\n }","title":""},{"docid":"46f532d65c3d4251ef809a94250df572","score":"0.63433564","text":"void addCurrency(String newCurrency);","title":""},{"docid":"aba99d9200d98b50749d04accf2ec7bd","score":"0.62689906","text":"public void setC_Currency_ID (int C_Currency_ID);","title":""},{"docid":"a4102138aeecdf5f1ccc7791d72a9d37","score":"0.625117","text":"public String getSymbol() {\n return icuCurrency.getSymbol();\n }","title":""},{"docid":"62350a151cf6c67ac82f3db6231abc2c","score":"0.61665374","text":"@Override\n public void setCurrency(String currency) {\n }","title":""},{"docid":"f076c9303034dbf1a66ff2de1e8e87ca","score":"0.60793996","text":"public String getCurrency() {\n return this.currency;\n }","title":""},{"docid":"f076c9303034dbf1a66ff2de1e8e87ca","score":"0.60793996","text":"public String getCurrency() {\n return this.currency;\n }","title":""},{"docid":"09b44f60d88d7dd4bd5a719e6dab961a","score":"0.6048578","text":"public String getCurrencyCode() {\n return currencyCode;\n }","title":""},{"docid":"09b44f60d88d7dd4bd5a719e6dab961a","score":"0.6048578","text":"public String getCurrencyCode() {\n return currencyCode;\n }","title":""},{"docid":"2061d04affd16b74f7ba55a571d80e32","score":"0.602531","text":"void setCurrency(Currency currency);","title":""},{"docid":"459a53556018675a28770d6981de2016","score":"0.6024041","text":"public CharSequence getCURRENCY() {\n return CURRENCY;\n }","title":""},{"docid":"cda33ebd367493c996212794827c1bae","score":"0.6003282","text":"java.lang.String getPurchaseCurrency();","title":""},{"docid":"61df986f82c93276c95ddea77085ed44","score":"0.6000919","text":"void buildCurrency();","title":""},{"docid":"7757c65df2cfb849383bfde03cbea231","score":"0.59938884","text":"public String getCurrencyCode() {\n return this.currencyCode;\n }","title":""},{"docid":"b19fb0f8eae0cc4c97ee5d61f067561e","score":"0.59723353","text":"@Override\r\n public String getCurrencyCountry() {\r\n return currency[0];\r\n }","title":""},{"docid":"4d95b602cbb7adb249d1c79d7c8dd956","score":"0.59528357","text":"public typekey.Currency getMoneyCurrency();","title":""},{"docid":"27733ffe0e9308057c4f05a941dbb819","score":"0.59524536","text":"public String getCurrency() {\n return currency;\n }","title":""},{"docid":"27733ffe0e9308057c4f05a941dbb819","score":"0.59524536","text":"public String getCurrency() {\n return currency;\n }","title":""},{"docid":"b7b5e461315f0d24301e1506b6215fd5","score":"0.5891304","text":"int getCurrency();","title":""},{"docid":"682171e716241e6903ab97f242d172a2","score":"0.58829695","text":"public java.lang.String getCurrencyCode()\n {\n synchronized (monitor())\n {\n check_orphaned();\n org.apache.xmlbeans.SimpleValue target = null;\n target = (org.apache.xmlbeans.SimpleValue)get_store().find_element_user(CURRENCYCODE$20, 0);\n if (target == null)\n {\n return null;\n }\n return target.getStringValue();\n }\n }","title":""},{"docid":"50d6f01743e76aad3bbe7d867d9267f4","score":"0.5841347","text":"public java.lang.String getStore_currency_code() {\n return store_currency_code;\n }","title":""},{"docid":"4e44a4d41f8536448cc97733df9caf5c","score":"0.582519","text":"public CharSequence getCURRENCY() {\n return CURRENCY;\n }","title":""},{"docid":"8245164ed9fe65a9bb0facaeb2f83a42","score":"0.5820182","text":"public long getCurrencyId() {\n return currencyId;\n }","title":""},{"docid":"7a96ece47c8cf30f055bb15ed7aca5ab","score":"0.5816109","text":"Currency getCurrency();","title":""},{"docid":"7a96ece47c8cf30f055bb15ed7aca5ab","score":"0.5816109","text":"Currency getCurrency();","title":""},{"docid":"f53a54a90507cd84a9b091d8baf70fab","score":"0.5813342","text":"String convert(String currency, String type);","title":""},{"docid":"5a4c07e5e561ec96ec1e2a532e0dc8fd","score":"0.5810598","text":"public Currency_type1 getCurrency(){\r\n return localCurrency;\r\n }","title":""},{"docid":"5b421165fb4383836b872d4eec91f9d4","score":"0.58052665","text":"public int getC_Currency_ID();","title":""},{"docid":"454bd08535345624d188fc8b668322be","score":"0.5797098","text":"public io.dstore.values.StringValueOrBuilder getCurrencyOrBuilder() {\n return getCurrency();\n }","title":""},{"docid":"0224c4aeea5b635602be47ec3bb123c0","score":"0.57579803","text":"public int getC_Currency_ID() \n{\nInteger ii = (Integer)get_Value(\"C_Currency_ID\");\nif (ii == null) return 0;\nreturn ii.intValue();\n}","title":""},{"docid":"0224c4aeea5b635602be47ec3bb123c0","score":"0.57579803","text":"public int getC_Currency_ID() \n{\nInteger ii = (Integer)get_Value(\"C_Currency_ID\");\nif (ii == null) return 0;\nreturn ii.intValue();\n}","title":""},{"docid":"6688662a4782a05765e5b630018b10f4","score":"0.5751605","text":"public String toString() {\n return icuCurrency.toString();\n }","title":""},{"docid":"4e15be37a982ea60f70cd515fe9977a4","score":"0.57190543","text":"@Override\n\tprotected String getCurrencyName() {\n\t\treturn \"pk_curr\";\n\t}","title":""},{"docid":"1b365fe39941222156cac24410baafa7","score":"0.5694735","text":"public String getCurrency() {\n\t\treturn currency;\n\t}","title":""},{"docid":"f76973937ee1cac55c3a94858db150a6","score":"0.56946224","text":"public interface CurrencyInterface {\n void setResource(int resource);\n void setFullname(String currencyName);\n void setShortName(String shortName);\n\n int getResource();\n String getFullname();\n String getShortName();\n String getSymbol();\n}","title":""},{"docid":"599a10365c5dc5877941feaef869b54a","score":"0.5692451","text":"Currency createCurrency();","title":""},{"docid":"8af562cfc5221325fd2f76e38f46c705","score":"0.568454","text":"public static String getCurrencyCode(String symbol) {\n\t \tif(currencyUtils.containsKey(symbol))\n\t \t\t return currencyUtils.get(symbol);\n\t \telse\n\t \t\treturn \"UNK\"; //unknown\n\t }","title":""},{"docid":"04046adfdd636ba7d84a7c93a08b960e","score":"0.5684457","text":"@java.lang.Override\n public int getCurrency() {\n return currency_;\n }","title":""},{"docid":"fbe00fa7d10fdaa0e99ed09db7ddff0a","score":"0.56770307","text":"public void setCurrency(String country) {\r\n String[] info = DataUtil.readByKeyInTable(\"currency\", country);\r\n // set native currency\r\n currency[0] = info[0];\r\n currency[1] = info[1];\r\n }","title":""},{"docid":"98c15c5ccfcff47279dc738dfc700edf","score":"0.56582195","text":"public void setCurrency(String currency) {\n this.currency = currency;\n }","title":""},{"docid":"ef47c6b22d84659990cddb0857de13e0","score":"0.5650823","text":"@java.lang.Override\n public int getCurrency() {\n return currency_;\n }","title":""},{"docid":"5497088ecedbee1bc8aad60b28cef071","score":"0.56486654","text":"public void setCurrencyCode(java.lang.String currencyCode)\n {\n synchronized (monitor())\n {\n check_orphaned();\n org.apache.xmlbeans.SimpleValue target = null;\n target = (org.apache.xmlbeans.SimpleValue)get_store().find_element_user(CURRENCYCODE$20, 0);\n if (target == null)\n {\n target = (org.apache.xmlbeans.SimpleValue)get_store().add_element_user(CURRENCYCODE$20);\n }\n target.setStringValue(currencyCode);\n }\n }","title":""},{"docid":"a007a92a8089390e2501c093fa88563e","score":"0.5640247","text":"public Currency(String c, String d)\n {\n currencyCode = c;\n date = d;\n }","title":""},{"docid":"3775e7f40039ef04d74882cd422788d0","score":"0.56314844","text":"public String getCurrencyUomId() {\n return this.currencyUomId;\n }","title":""},{"docid":"fe993673865e656904bfc3e0d59acf2b","score":"0.5626713","text":"public double getCurrency(){\r\n\t\treturn Double.parseDouble(UScurrency.getText());\r\n\t}","title":""},{"docid":"26d6e10d5383e1708f4fee4cd9e9f6d2","score":"0.56025696","text":"public Builder setCURRENCY(CharSequence value) {\n validate(fields()[57], value);\n this.CURRENCY = value;\n fieldSetFlags()[57] = true;\n return this; \n }","title":""},{"docid":"c9b52d11f0ad8eb0c6d3047133b1513b","score":"0.558648","text":"public void setC_Currency_ID (int C_Currency_ID)\n{\nif (C_Currency_ID <= 0) set_Value (\"C_Currency_ID\", null);\n else \nset_Value (\"C_Currency_ID\", new Integer(C_Currency_ID));\n}","title":""},{"docid":"64de070bdaeb2fabb6e8936ee7137d57","score":"0.5585809","text":"public java.lang.String getBase_currency_code() {\n return base_currency_code;\n }","title":""},{"docid":"b4d25830539ce7d8dae29582f8863716","score":"0.55825067","text":"public Currency (java.lang.String code) {\r\n\t\tsuper(code);\r\n\t}","title":""},{"docid":"fdb57515ff62351753c98076ea587664","score":"0.5560926","text":"public java.lang.String getCurrencyCode() {\n return currencyCode;\n }","title":""},{"docid":"1083ca6c0bd0a26f770f138086e855ea","score":"0.55560243","text":"public void setCurrency(String mCurrency) {\n this.mCurrency = mCurrency;\n }","title":""},{"docid":"900fea67dad62df9a6a2d9cf7bc26d1a","score":"0.5549022","text":"@Override\n public Currency getCurrency() {\n return currency;\n }","title":""},{"docid":"01779acbd13b51ee67cc02c7da968eab","score":"0.5542498","text":"public io.dstore.values.StringValue getCurrency() {\n return currency_ == null ? io.dstore.values.StringValue.getDefaultInstance() : currency_;\n }","title":""},{"docid":"036885d7cd457a381027e813e97f1c4d","score":"0.55421025","text":"public java.lang.String getCurrency() {\n return currency;\n }","title":""},{"docid":"b42658884fb183ef8a2587e7169bbb63","score":"0.5532007","text":"public String getCurrencyCode() {\n return (String)getAttributeInternal(CURRENCYCODE);\n }","title":""},{"docid":"9ca27b6b124fbd39fb6032154b6bb341","score":"0.5518441","text":"public String getCurrency() {\n return CURRENCY.of(this);\n }","title":""},{"docid":"43d97e2e403df905e878f52bd662db66","score":"0.55134565","text":"public String creditCurrency() {\n return this.creditCurrency;\n }","title":""},{"docid":"43d97e2e403df905e878f52bd662db66","score":"0.55134565","text":"public String creditCurrency() {\n return this.creditCurrency;\n }","title":""},{"docid":"bbfa1d2060095d90649389e4d88defdb","score":"0.5491877","text":"public Currency getCurrency() {\n return currency;\n }","title":""},{"docid":"1d92d263e921b1adc198ba9477a355a3","score":"0.5491842","text":"public void setCurrency(String type, double value) {\n String currency = type == null ? \"LKR\" : type + \" \" + Helper.toCurrencyFormat(value);\n setText(currency);\n }","title":""},{"docid":"2259864b5e0be85c015f25afe82b91ea","score":"0.5474471","text":"public String[] getCurrency() {\r\n return currency;\r\n }","title":""},{"docid":"b9dc276e45226016cabd23527e713220","score":"0.5468535","text":"public void setCountryISO(String countryISO);","title":""},{"docid":"f4b52b33abce28bdacb4a1262011a0d8","score":"0.54609174","text":"public String getSymbol(){\n\t\treturn tickerSymbol;\n\t}","title":""},{"docid":"aaa666d640e669732300008e43d96c5a","score":"0.54593074","text":"public x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode xgetCurrencyCode()\n {\n synchronized (monitor())\n {\n check_orphaned();\n x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode target = null;\n target = (x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode)get_store().find_element_user(CURRENCYCODE$20, 0);\n return target;\n }\n }","title":""},{"docid":"7f796b349acce85164eee502ed2cf6a7","score":"0.5458994","text":"public void setCurrency(java.lang.String currency) {\n this.currency = currency;\n }","title":""},{"docid":"573a5dd82dcc4f8c3a861e8a4701d2de","score":"0.54483604","text":"public String getCurrencyType() {\n\t\treturn currencyType;\n\t}","title":""},{"docid":"17de71780b5d62f59b480480ed02d3e0","score":"0.54319865","text":"public void setPoCtryISO(String poCtryISO);","title":""},{"docid":"f1aef2444a567f3f54f71c7a7c21e1bb","score":"0.5421046","text":"public void setCurrencyCode(String value) {\n setAttributeInternal(CURRENCYCODE, value);\n }","title":""},{"docid":"fc309c4d4b1dcdd3c003be2da4984ba8","score":"0.5406574","text":"public TestCurrencyDB()\n {\n Currency entry1 = new Currency(\"eur\", /* Currency to be converted */\n \"20121009\"); /* Date */\n Double value = 1.5; /*\n * USD value of 1 unit of that currency (i.e. 1 EURO = 1.5 USD)\n */\n currencyInfo.put(entry1, value);\n\n Currency entry2 = new Currency(\"eur\", \"20121010\");\n value = 1.50;\n currencyInfo.put(entry2, value);\n Currency entry3 = new Currency(\"eur\", \"20121011\");\n value = 1.51;\n currencyInfo.put(entry3, value);\n Currency entry4 = new Currency(\"eur\", \"20121012\");\n value = 1.60;\n currencyInfo.put(entry4, value);\n Currency entry5 = new Currency(\"eur\", \"20121013\");\n value = 1.58;\n currencyInfo.put(entry5, value);\n Currency entry6 = new Currency(\"eur\", \"20121014\");\n value = 1.56;\n currencyInfo.put(entry6, value);\n Currency entry7 = new Currency(\"eur\", \"20121015\");\n value = 1.50;\n currencyInfo.put(entry7, value);\n Currency entry8 = new Currency(\"eur\", \"20121016\");\n value = 1.70;\n currencyInfo.put(entry8, value);\n Currency entry9 = new Currency(\"eur\", \"20121017\");\n value = 1.69;\n currencyInfo.put(entry9, value);\n Currency entry10 = new Currency(\"eur\", \"20121018\");\n value = 1.68;\n currencyInfo.put(entry10, value);\n Currency entry11 = new Currency(\"eur\", \"20121019\");\n value = 1.68;\n currencyInfo.put(entry11, value);\n Currency entry12 = new Currency(\"eur\", \"20121020\");\n value = 1.69;\n currencyInfo.put(entry12, value);\n Currency entry13 = new Currency(\"eur\", \"20121021\");\n value = 1.75;\n currencyInfo.put(entry13, value);\n Currency entry14 = new Currency(\"eur\", \"20121022\");\n value = 1.70;\n currencyInfo.put(entry14, value);\n Currency entry15 = new Currency(\"eur\", \"20121023\");\n value = 1.69;\n currencyInfo.put(entry15, value);\n Currency entry16 = new Currency(\"eur\", \"20121024\");\n value = 1.50;\n currencyInfo.put(entry16, value);\n Currency entry17 = new Currency(\"eur\", \"20121025\");\n value = 1.50;\n currencyInfo.put(entry17, value);\n Currency entry18 = new Currency(\"eur\", \"20121026\");\n value = 1.51;\n currencyInfo.put(entry18, value);\n Currency entry19 = new Currency(\"eur\", \"20121027\");\n value = 1.51;\n currencyInfo.put(entry19, value);\n Currency entry20 = new Currency(\"eur\", \"20121028\");\n value = 1.50;\n currencyInfo.put(entry20, value);\n Currency entry21 = new Currency(\"eur\", \"20121029\");\n value = 1.55;\n currencyInfo.put(entry21, value);\n Currency entry22 = new Currency(\"eur\", \"20121030\");\n value = 1.50;\n currencyInfo.put(entry22, value);\n Currency entry23 = new Currency(\"eur\", \"20121031\");\n value = 1.60;\n currencyInfo.put(entry23, value);\n Currency entry24 = new Currency(\"eur\", \"20121101\");\n value = 2.00;\n currencyInfo.put(entry24, value);\n Currency entry25 = new Currency(\"eur\", \"20121102\");\n value = 2.01;\n currencyInfo.put(entry25, value);\n Currency entry26 = new Currency(\"eur\", \"20121103\");\n value = 2.00;\n currencyInfo.put(entry26, value);\n Currency entry27 = new Currency(\"eur\", \"20121104\");\n value = 1.98;\n currencyInfo.put(entry27, value);\n Currency entry28 = new Currency(\"eur\", \"20121105\");\n value = 1.97;\n currencyInfo.put(entry28, value);\n Currency entry29 = new Currency(\"eur\", \"20121106\");\n value = 1.95;\n currencyInfo.put(entry29, value);\n Currency entry30 = new Currency(\"eur\", \"20121107\");\n value = 1.80;\n currencyInfo.put(entry30, value);\n Currency entry31 = new Currency(\"eur\", \"20121108\");\n value = 1.70;\n currencyInfo.put(entry31, value);\n Currency entry32 = new Currency(\"eur\", \"20121109\");\n value = 1.71;\n currencyInfo.put(entry32, value);\n Currency entry33 = new Currency(\"eur\", \"20121110\");\n value = 1.69;\n currencyInfo.put(entry33, value);\n Currency entry34 = new Currency(\"eur\", \"20121111\");\n value = 1.69;\n currencyInfo.put(entry34, value);\n Currency entry35 = new Currency(\"eur\", \"20121112\");\n value = 1.71;\n currencyInfo.put(entry35, value);\n Currency entry36 = new Currency(\"eur\", \"20121113\");\n value = 1.69;\n currencyInfo.put(entry36, value);\n Currency entry37 = new Currency(\"eur\", \"20121114\");\n value = 1.65;\n currencyInfo.put(entry37, value);\n Currency entry38 = new Currency(\"eur\", \"20121115\");\n value = 1.66;\n currencyInfo.put(entry38, value);\n Currency entry39 = new Currency(\"eur\", \"20121116\");\n value = 1.75;\n currencyInfo.put(entry39, value);\n Currency entry40 = new Currency(\"eur\", \"20121117\");\n value = 1.75;\n currencyInfo.put(entry40, value);\n Currency entry41 = new Currency(\"eur\", \"20121118\");\n value = 2.00;\n currencyInfo.put(entry41, value);\n Currency entry42 = new Currency(\"eur\", \"20121119\");\n value = 2.10;\n currencyInfo.put(entry42, value);\n Currency entry43 = new Currency(\"eur\", \"20121120\");\n value = 2.09;\n currencyInfo.put(entry43, value);\n Currency entry44 = new Currency(\"eur\", \"20121121\");\n value = 2.10;\n currencyInfo.put(entry44, value);\n Currency entry45 = new Currency(\"eur\", \"20121122\");\n value = 2.08;\n currencyInfo.put(entry45, value);\n Currency entry46 = new Currency(\"eur\", \"20121123\");\n value = 2.05;\n currencyInfo.put(entry46, value);\n Currency entry47 = new Currency(\"eur\", \"20121124\");\n value = 2.00;\n currencyInfo.put(entry47, value);\n Currency entry48 = new Currency(\"eur\", \"20121125\");\n value = 1.98;\n currencyInfo.put(entry48, value);\n Currency entry49 = new Currency(\"eur\", \"20121126\");\n value = 1.99;\n currencyInfo.put(entry49, value);\n Currency entry50 = new Currency(\"eur\", \"20121127\");\n value = 1.89;\n currencyInfo.put(entry50, value);\n Currency entry51 = new Currency(\"eur\", \"20121128\");\n value = 1.80;\n currencyInfo.put(entry51, value);\n Currency entry52 = new Currency(\"eur\", \"20121129\");\n value = 1.81;\n currencyInfo.put(entry52, value);\n Currency entry53 = new Currency(\"eur\", \"20121130\");\n value = 1.80;\n currencyInfo.put(entry53, value);\n\n // Brazilian Real\n Currency brlEntry = new Currency(\"brl\", \"20121120\");\n value = 2.13;\n currencyInfo.put(brlEntry, value);\n brlEntry = new Currency(\"brl\", \"20121121\");\n value = 2.10;\n currencyInfo.put(brlEntry, value);\n brlEntry = new Currency(\"brl\", \"20121122\");\n value = 2.05;\n currencyInfo.put(brlEntry, value);\n brlEntry = new Currency(\"brl\", \"20121123\");\n value = 2.22;\n currencyInfo.put(brlEntry, value);\n brlEntry = new Currency(\"brl\", \"20121124\");\n value = 2.00;\n currencyInfo.put(brlEntry, value);\n brlEntry = new Currency(\"brl\", \"20121125\");\n value = 2.02;\n currencyInfo.put(brlEntry, value);\n brlEntry = new Currency(\"brl\", \"20121126\");\n value = 1.98;\n currencyInfo.put(brlEntry, value);\n brlEntry = new Currency(\"brl\", \"20121127\");\n value = 2.08;\n currencyInfo.put(brlEntry, value);\n brlEntry = new Currency(\"brl\", \"20121128\");\n value = 2.13;\n currencyInfo.put(brlEntry, value);\n brlEntry = new Currency(\"brl\", \"20121129\");\n value = 2.15;\n currencyInfo.put(brlEntry, value);\n brlEntry = new Currency(\"brl\", \"20121130\");\n value = 2.10;\n currencyInfo.put(brlEntry, value);\n }","title":""},{"docid":"5dc7ce71fabf542300914e214b806c32","score":"0.54041815","text":"void setCurrency(final Currency currency);","title":""},{"docid":"535f056038e9c7d79749afc1a283ad9f","score":"0.5400851","text":"public String getCurrency() {\n return localCurrency;\n }","title":""},{"docid":"fa6262b5c680f868cd044356ed8bfce7","score":"0.5398871","text":"public RequestJson putCurrency(String key, Currency value) {\n return putStringNoEscape(key, value == null ? null : value.getStringValue());\n }","title":""},{"docid":"18faf9c34b97432a01a514acafd2740d","score":"0.5398073","text":"public abstract void setCountryCurrency(java.util.Set countryCurrency);","title":""},{"docid":"9d50f6ef322ccb8364745db07f57e106","score":"0.5379652","text":"public void xsetCurrencyCode(x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode currencyCode)\n {\n synchronized (monitor())\n {\n check_orphaned();\n x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode target = null;\n target = (x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode)get_store().find_element_user(CURRENCYCODE$20, 0);\n if (target == null)\n {\n target = (x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode)get_store().add_element_user(CURRENCYCODE$20);\n }\n target.set(currencyCode);\n }\n }","title":""},{"docid":"936967e107c35c6ffef0f41bf044a068","score":"0.5353941","text":"public Currency getCurrency() {\n return _currency;\n }","title":""},{"docid":"ade573b74118ffeb0e7e2c8976caa198","score":"0.5341905","text":"public java.lang.String getQuoteCurrencyForTicker() {\n java.lang.Object ref = quoteCurrencyForTicker_;\n if (!(ref instanceof java.lang.String)) {\n com.google.protobuf.ByteString bs =\n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n quoteCurrencyForTicker_ = s;\n return s;\n } else {\n return (java.lang.String) ref;\n }\n }","title":""},{"docid":"925f01eadb9e48bc2a634810849e396f","score":"0.5341606","text":"public int getNumericCode() {\n return icuCurrency.getNumericCode();\n }","title":""},{"docid":"710bde848b30270b5dc8ebee4874f552","score":"0.534074","text":"public String getSymbol(){\n return this.symbol;\n }","title":""},{"docid":"d7b71cba8393a38daee85192db1c732e","score":"0.5340331","text":"String getTickerSymbol();","title":""},{"docid":"881addc349cf743cfeddcdfd6761dadf","score":"0.53363675","text":"public java.lang.String getQuoteCurrencyForTicker() {\n java.lang.Object ref = quoteCurrencyForTicker_;\n if (ref instanceof java.lang.String) {\n return (java.lang.String) ref;\n } else {\n com.google.protobuf.ByteString bs = \n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n quoteCurrencyForTicker_ = s;\n return s;\n }\n }","title":""},{"docid":"2dab4ab97f1c1fa425df1adb4f390650","score":"0.533368","text":"public static Currency inputCurrency() {\r\n\t\tString currencyISO = Helper.readString(\"Enter currency ISO > \");\r\n\t\tString currencyName = Helper.readString(\"Enter currency name > \");\r\n\t\tdouble buyRate = Helper.readDouble(\"Enter buy rate > \");\r\n\t\tdouble sellRate = Helper.readDouble(\"Enter sell rate >\");\r\n\r\n\t\tCurrency c = new Currency(currencyISO, currencyName, buyRate, sellRate);\r\n\t\treturn c;\r\n\r\n\t}","title":""},{"docid":"ec8273a847f8680cebd2ff8d39c613f7","score":"0.53247714","text":"public void setMxnCurrency(String value) {\n setAttributeInternal(MXNCURRENCY, value);\n }","title":""},{"docid":"80e1cbeb344c10f1474dc97004bea393","score":"0.5319681","text":"void removeCurrency(String oldCurrency);","title":""},{"docid":"7a2949b1afdfa6f4507561c68c9b9471","score":"0.5292795","text":"public String getCY_ISO_CODE() {\n return CY_ISO_CODE;\n }","title":""},{"docid":"8a48170fb5de4ce173afbd6262b3e20e","score":"0.5288245","text":"public void setCurrency(String currency) {\n Booking.CURRENCY.setValue(this, currency);\n }","title":""},{"docid":"0e375d58847fc4a7b53667c4e8c373e0","score":"0.52651197","text":"public Symbol newSymbol(String name, int id, Object value);","title":""},{"docid":"ed84f689ff1bc1cf632e1b4bb91a4038","score":"0.52585256","text":"public abstract void setCountryCd(String countryCd);","title":""},{"docid":"9c15de3bc86c4c3d0ab00be1efec5018","score":"0.5242427","text":"public Map<String, Currency> getCurrencyMap() {\n return _curveCurrency;\n }","title":""},{"docid":"b363fd703592145876487f197beed5b8","score":"0.5233408","text":"io.dstore.values.StringValue getPaymentType();","title":""},{"docid":"8055b46572e3c6c67b11f310fb6a84dd","score":"0.52295166","text":"public void setCurrency(advcash.wsm.Currency currency) {\n this.currency = currency;\n }","title":""},{"docid":"9865445f99b2f6d01ff680438a7ee418","score":"0.5225737","text":"private Symbols() {\n locale = Locale.US;\n numberFormat = DEFAULT.numberFormat;\n }","title":""}],"string":"[\n {\n \"docid\": \"c2b43e199e5f587c9a81b0eaff334121\",\n \"score\": \"0.7622318\",\n \"text\": \"io.dstore.values.StringValue getCurrency();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"17e09e1bf1afc139471df171410f4d29\",\n \"score\": \"0.66516757\",\n \"text\": \"public String getCurrencySymbol() {\\n\\t\\tbyte[] arr = m_struct.CurrencyString;\\n\\t\\t\\n\\t\\tint length = Math.min(NotesStringUtils.getNullTerminatedLength(arr), arr.length-1);\\n\\t\\tDisposableMemory mem = new DisposableMemory(length);\\n\\t\\tmem.write(0, arr, 0, length);\\n\\t\\tString str = NotesStringUtils.fromLMBCS(mem, length);\\n\\t\\tmem.dispose();\\n\\t\\treturn str;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a99d30d3be31d75c5299774ddc79424c\",\n \"score\": \"0.6516598\",\n \"text\": \"public static String get_a_currency_symbol() {\\n\\t\\treturn conv_val.get(active_currency_pos)[3];\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"317f2bc637bf783a872ab00ae2b05a29\",\n \"score\": \"0.6433398\",\n \"text\": \"String getCUR_CurrencyCode();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"108a24030bc0b29003801648263bad2e\",\n \"score\": \"0.64286864\",\n \"text\": \"@Override\\r\\n public String getCurrencyLabel() {\\r\\n return currency[1];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"00fcaa56baef9949b01d6f59dccdfaaa\",\n \"score\": \"0.64058244\",\n \"text\": \"String getCurrency();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"239506e24b596c3b6adf4ab9f476360e\",\n \"score\": \"0.6394574\",\n \"text\": \"public void setC_Currency_ID (int C_Currency_ID)\\n{\\nset_Value (\\\"C_Currency_ID\\\", new Integer(C_Currency_ID));\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aeef999c772e90e3362448c141f83039\",\n \"score\": \"0.63836426\",\n \"text\": \"io.dstore.values.StringValueOrBuilder getCurrencyOrBuilder();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d3f2c25bb42c48349c4806868292325\",\n \"score\": \"0.63595575\",\n \"text\": \"public String getCurrency();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"97b0e6b717ad53bf7dcb931732f75e44\",\n \"score\": \"0.63458204\",\n \"text\": \"public void setCURRENCY(CharSequence value) {\\n this.CURRENCY = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46f532d65c3d4251ef809a94250df572\",\n \"score\": \"0.63433564\",\n \"text\": \"void addCurrency(String newCurrency);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aba99d9200d98b50749d04accf2ec7bd\",\n \"score\": \"0.62689906\",\n \"text\": \"public void setC_Currency_ID (int C_Currency_ID);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a4102138aeecdf5f1ccc7791d72a9d37\",\n \"score\": \"0.625117\",\n \"text\": \"public String getSymbol() {\\n return icuCurrency.getSymbol();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"62350a151cf6c67ac82f3db6231abc2c\",\n \"score\": \"0.61665374\",\n \"text\": \"@Override\\n public void setCurrency(String currency) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f076c9303034dbf1a66ff2de1e8e87ca\",\n \"score\": \"0.60793996\",\n \"text\": \"public String getCurrency() {\\n return this.currency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f076c9303034dbf1a66ff2de1e8e87ca\",\n \"score\": \"0.60793996\",\n \"text\": \"public String getCurrency() {\\n return this.currency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"09b44f60d88d7dd4bd5a719e6dab961a\",\n \"score\": \"0.6048578\",\n \"text\": \"public String getCurrencyCode() {\\n return currencyCode;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"09b44f60d88d7dd4bd5a719e6dab961a\",\n \"score\": \"0.6048578\",\n \"text\": \"public String getCurrencyCode() {\\n return currencyCode;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2061d04affd16b74f7ba55a571d80e32\",\n \"score\": \"0.602531\",\n \"text\": \"void setCurrency(Currency currency);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"459a53556018675a28770d6981de2016\",\n \"score\": \"0.6024041\",\n \"text\": \"public CharSequence getCURRENCY() {\\n return CURRENCY;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cda33ebd367493c996212794827c1bae\",\n \"score\": \"0.6003282\",\n \"text\": \"java.lang.String getPurchaseCurrency();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"61df986f82c93276c95ddea77085ed44\",\n \"score\": \"0.6000919\",\n \"text\": \"void buildCurrency();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7757c65df2cfb849383bfde03cbea231\",\n \"score\": \"0.59938884\",\n \"text\": \"public String getCurrencyCode() {\\n return this.currencyCode;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b19fb0f8eae0cc4c97ee5d61f067561e\",\n \"score\": \"0.59723353\",\n \"text\": \"@Override\\r\\n public String getCurrencyCountry() {\\r\\n return currency[0];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4d95b602cbb7adb249d1c79d7c8dd956\",\n \"score\": \"0.59528357\",\n \"text\": \"public typekey.Currency getMoneyCurrency();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"27733ffe0e9308057c4f05a941dbb819\",\n \"score\": \"0.59524536\",\n \"text\": \"public String getCurrency() {\\n return currency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"27733ffe0e9308057c4f05a941dbb819\",\n \"score\": \"0.59524536\",\n \"text\": \"public String getCurrency() {\\n return currency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b7b5e461315f0d24301e1506b6215fd5\",\n \"score\": \"0.5891304\",\n \"text\": \"int getCurrency();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"682171e716241e6903ab97f242d172a2\",\n \"score\": \"0.58829695\",\n \"text\": \"public java.lang.String getCurrencyCode()\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n org.apache.xmlbeans.SimpleValue target = null;\\n target = (org.apache.xmlbeans.SimpleValue)get_store().find_element_user(CURRENCYCODE$20, 0);\\n if (target == null)\\n {\\n return null;\\n }\\n return target.getStringValue();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"50d6f01743e76aad3bbe7d867d9267f4\",\n \"score\": \"0.5841347\",\n \"text\": \"public java.lang.String getStore_currency_code() {\\n return store_currency_code;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e44a4d41f8536448cc97733df9caf5c\",\n \"score\": \"0.582519\",\n \"text\": \"public CharSequence getCURRENCY() {\\n return CURRENCY;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8245164ed9fe65a9bb0facaeb2f83a42\",\n \"score\": \"0.5820182\",\n \"text\": \"public long getCurrencyId() {\\n return currencyId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7a96ece47c8cf30f055bb15ed7aca5ab\",\n \"score\": \"0.5816109\",\n \"text\": \"Currency getCurrency();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7a96ece47c8cf30f055bb15ed7aca5ab\",\n \"score\": \"0.5816109\",\n \"text\": \"Currency getCurrency();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f53a54a90507cd84a9b091d8baf70fab\",\n \"score\": \"0.5813342\",\n \"text\": \"String convert(String currency, String type);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a4c07e5e561ec96ec1e2a532e0dc8fd\",\n \"score\": \"0.5810598\",\n \"text\": \"public Currency_type1 getCurrency(){\\r\\n return localCurrency;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5b421165fb4383836b872d4eec91f9d4\",\n \"score\": \"0.58052665\",\n \"text\": \"public int getC_Currency_ID();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"454bd08535345624d188fc8b668322be\",\n \"score\": \"0.5797098\",\n \"text\": \"public io.dstore.values.StringValueOrBuilder getCurrencyOrBuilder() {\\n return getCurrency();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0224c4aeea5b635602be47ec3bb123c0\",\n \"score\": \"0.57579803\",\n \"text\": \"public int getC_Currency_ID() \\n{\\nInteger ii = (Integer)get_Value(\\\"C_Currency_ID\\\");\\nif (ii == null) return 0;\\nreturn ii.intValue();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0224c4aeea5b635602be47ec3bb123c0\",\n \"score\": \"0.57579803\",\n \"text\": \"public int getC_Currency_ID() \\n{\\nInteger ii = (Integer)get_Value(\\\"C_Currency_ID\\\");\\nif (ii == null) return 0;\\nreturn ii.intValue();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6688662a4782a05765e5b630018b10f4\",\n \"score\": \"0.5751605\",\n \"text\": \"public String toString() {\\n return icuCurrency.toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e15be37a982ea60f70cd515fe9977a4\",\n \"score\": \"0.57190543\",\n \"text\": \"@Override\\n\\tprotected String getCurrencyName() {\\n\\t\\treturn \\\"pk_curr\\\";\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1b365fe39941222156cac24410baafa7\",\n \"score\": \"0.5694735\",\n \"text\": \"public String getCurrency() {\\n\\t\\treturn currency;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f76973937ee1cac55c3a94858db150a6\",\n \"score\": \"0.56946224\",\n \"text\": \"public interface CurrencyInterface {\\n void setResource(int resource);\\n void setFullname(String currencyName);\\n void setShortName(String shortName);\\n\\n int getResource();\\n String getFullname();\\n String getShortName();\\n String getSymbol();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"599a10365c5dc5877941feaef869b54a\",\n \"score\": \"0.5692451\",\n \"text\": \"Currency createCurrency();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8af562cfc5221325fd2f76e38f46c705\",\n \"score\": \"0.568454\",\n \"text\": \"public static String getCurrencyCode(String symbol) {\\n\\t \\tif(currencyUtils.containsKey(symbol))\\n\\t \\t\\t return currencyUtils.get(symbol);\\n\\t \\telse\\n\\t \\t\\treturn \\\"UNK\\\"; //unknown\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"04046adfdd636ba7d84a7c93a08b960e\",\n \"score\": \"0.5684457\",\n \"text\": \"@java.lang.Override\\n public int getCurrency() {\\n return currency_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fbe00fa7d10fdaa0e99ed09db7ddff0a\",\n \"score\": \"0.56770307\",\n \"text\": \"public void setCurrency(String country) {\\r\\n String[] info = DataUtil.readByKeyInTable(\\\"currency\\\", country);\\r\\n // set native currency\\r\\n currency[0] = info[0];\\r\\n currency[1] = info[1];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"98c15c5ccfcff47279dc738dfc700edf\",\n \"score\": \"0.56582195\",\n \"text\": \"public void setCurrency(String currency) {\\n this.currency = currency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef47c6b22d84659990cddb0857de13e0\",\n \"score\": \"0.5650823\",\n \"text\": \"@java.lang.Override\\n public int getCurrency() {\\n return currency_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5497088ecedbee1bc8aad60b28cef071\",\n \"score\": \"0.56486654\",\n \"text\": \"public void setCurrencyCode(java.lang.String currencyCode)\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n org.apache.xmlbeans.SimpleValue target = null;\\n target = (org.apache.xmlbeans.SimpleValue)get_store().find_element_user(CURRENCYCODE$20, 0);\\n if (target == null)\\n {\\n target = (org.apache.xmlbeans.SimpleValue)get_store().add_element_user(CURRENCYCODE$20);\\n }\\n target.setStringValue(currencyCode);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a007a92a8089390e2501c093fa88563e\",\n \"score\": \"0.5640247\",\n \"text\": \"public Currency(String c, String d)\\n {\\n currencyCode = c;\\n date = d;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3775e7f40039ef04d74882cd422788d0\",\n \"score\": \"0.56314844\",\n \"text\": \"public String getCurrencyUomId() {\\n return this.currencyUomId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fe993673865e656904bfc3e0d59acf2b\",\n \"score\": \"0.5626713\",\n \"text\": \"public double getCurrency(){\\r\\n\\t\\treturn Double.parseDouble(UScurrency.getText());\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"26d6e10d5383e1708f4fee4cd9e9f6d2\",\n \"score\": \"0.56025696\",\n \"text\": \"public Builder setCURRENCY(CharSequence value) {\\n validate(fields()[57], value);\\n this.CURRENCY = value;\\n fieldSetFlags()[57] = true;\\n return this; \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c9b52d11f0ad8eb0c6d3047133b1513b\",\n \"score\": \"0.558648\",\n \"text\": \"public void setC_Currency_ID (int C_Currency_ID)\\n{\\nif (C_Currency_ID <= 0) set_Value (\\\"C_Currency_ID\\\", null);\\n else \\nset_Value (\\\"C_Currency_ID\\\", new Integer(C_Currency_ID));\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"64de070bdaeb2fabb6e8936ee7137d57\",\n \"score\": \"0.5585809\",\n \"text\": \"public java.lang.String getBase_currency_code() {\\n return base_currency_code;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b4d25830539ce7d8dae29582f8863716\",\n \"score\": \"0.55825067\",\n \"text\": \"public Currency (java.lang.String code) {\\r\\n\\t\\tsuper(code);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fdb57515ff62351753c98076ea587664\",\n \"score\": \"0.5560926\",\n \"text\": \"public java.lang.String getCurrencyCode() {\\n return currencyCode;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1083ca6c0bd0a26f770f138086e855ea\",\n \"score\": \"0.55560243\",\n \"text\": \"public void setCurrency(String mCurrency) {\\n this.mCurrency = mCurrency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"900fea67dad62df9a6a2d9cf7bc26d1a\",\n \"score\": \"0.5549022\",\n \"text\": \"@Override\\n public Currency getCurrency() {\\n return currency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"01779acbd13b51ee67cc02c7da968eab\",\n \"score\": \"0.5542498\",\n \"text\": \"public io.dstore.values.StringValue getCurrency() {\\n return currency_ == null ? io.dstore.values.StringValue.getDefaultInstance() : currency_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"036885d7cd457a381027e813e97f1c4d\",\n \"score\": \"0.55421025\",\n \"text\": \"public java.lang.String getCurrency() {\\n return currency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b42658884fb183ef8a2587e7169bbb63\",\n \"score\": \"0.5532007\",\n \"text\": \"public String getCurrencyCode() {\\n return (String)getAttributeInternal(CURRENCYCODE);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9ca27b6b124fbd39fb6032154b6bb341\",\n \"score\": \"0.5518441\",\n \"text\": \"public String getCurrency() {\\n return CURRENCY.of(this);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"43d97e2e403df905e878f52bd662db66\",\n \"score\": \"0.55134565\",\n \"text\": \"public String creditCurrency() {\\n return this.creditCurrency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"43d97e2e403df905e878f52bd662db66\",\n \"score\": \"0.55134565\",\n \"text\": \"public String creditCurrency() {\\n return this.creditCurrency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bbfa1d2060095d90649389e4d88defdb\",\n \"score\": \"0.5491877\",\n \"text\": \"public Currency getCurrency() {\\n return currency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1d92d263e921b1adc198ba9477a355a3\",\n \"score\": \"0.5491842\",\n \"text\": \"public void setCurrency(String type, double value) {\\n String currency = type == null ? \\\"LKR\\\" : type + \\\" \\\" + Helper.toCurrencyFormat(value);\\n setText(currency);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2259864b5e0be85c015f25afe82b91ea\",\n \"score\": \"0.5474471\",\n \"text\": \"public String[] getCurrency() {\\r\\n return currency;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b9dc276e45226016cabd23527e713220\",\n \"score\": \"0.5468535\",\n \"text\": \"public void setCountryISO(String countryISO);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f4b52b33abce28bdacb4a1262011a0d8\",\n \"score\": \"0.54609174\",\n \"text\": \"public String getSymbol(){\\n\\t\\treturn tickerSymbol;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aaa666d640e669732300008e43d96c5a\",\n \"score\": \"0.54593074\",\n \"text\": \"public x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode xgetCurrencyCode()\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode target = null;\\n target = (x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode)get_store().find_element_user(CURRENCYCODE$20, 0);\\n return target;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7f796b349acce85164eee502ed2cf6a7\",\n \"score\": \"0.5458994\",\n \"text\": \"public void setCurrency(java.lang.String currency) {\\n this.currency = currency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"573a5dd82dcc4f8c3a861e8a4701d2de\",\n \"score\": \"0.54483604\",\n \"text\": \"public String getCurrencyType() {\\n\\t\\treturn currencyType;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"17de71780b5d62f59b480480ed02d3e0\",\n \"score\": \"0.54319865\",\n \"text\": \"public void setPoCtryISO(String poCtryISO);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1aef2444a567f3f54f71c7a7c21e1bb\",\n \"score\": \"0.5421046\",\n \"text\": \"public void setCurrencyCode(String value) {\\n setAttributeInternal(CURRENCYCODE, value);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fc309c4d4b1dcdd3c003be2da4984ba8\",\n \"score\": \"0.5406574\",\n \"text\": \"public TestCurrencyDB()\\n {\\n Currency entry1 = new Currency(\\\"eur\\\", /* Currency to be converted */\\n \\\"20121009\\\"); /* Date */\\n Double value = 1.5; /*\\n * USD value of 1 unit of that currency (i.e. 1 EURO = 1.5 USD)\\n */\\n currencyInfo.put(entry1, value);\\n\\n Currency entry2 = new Currency(\\\"eur\\\", \\\"20121010\\\");\\n value = 1.50;\\n currencyInfo.put(entry2, value);\\n Currency entry3 = new Currency(\\\"eur\\\", \\\"20121011\\\");\\n value = 1.51;\\n currencyInfo.put(entry3, value);\\n Currency entry4 = new Currency(\\\"eur\\\", \\\"20121012\\\");\\n value = 1.60;\\n currencyInfo.put(entry4, value);\\n Currency entry5 = new Currency(\\\"eur\\\", \\\"20121013\\\");\\n value = 1.58;\\n currencyInfo.put(entry5, value);\\n Currency entry6 = new Currency(\\\"eur\\\", \\\"20121014\\\");\\n value = 1.56;\\n currencyInfo.put(entry6, value);\\n Currency entry7 = new Currency(\\\"eur\\\", \\\"20121015\\\");\\n value = 1.50;\\n currencyInfo.put(entry7, value);\\n Currency entry8 = new Currency(\\\"eur\\\", \\\"20121016\\\");\\n value = 1.70;\\n currencyInfo.put(entry8, value);\\n Currency entry9 = new Currency(\\\"eur\\\", \\\"20121017\\\");\\n value = 1.69;\\n currencyInfo.put(entry9, value);\\n Currency entry10 = new Currency(\\\"eur\\\", \\\"20121018\\\");\\n value = 1.68;\\n currencyInfo.put(entry10, value);\\n Currency entry11 = new Currency(\\\"eur\\\", \\\"20121019\\\");\\n value = 1.68;\\n currencyInfo.put(entry11, value);\\n Currency entry12 = new Currency(\\\"eur\\\", \\\"20121020\\\");\\n value = 1.69;\\n currencyInfo.put(entry12, value);\\n Currency entry13 = new Currency(\\\"eur\\\", \\\"20121021\\\");\\n value = 1.75;\\n currencyInfo.put(entry13, value);\\n Currency entry14 = new Currency(\\\"eur\\\", \\\"20121022\\\");\\n value = 1.70;\\n currencyInfo.put(entry14, value);\\n Currency entry15 = new Currency(\\\"eur\\\", \\\"20121023\\\");\\n value = 1.69;\\n currencyInfo.put(entry15, value);\\n Currency entry16 = new Currency(\\\"eur\\\", \\\"20121024\\\");\\n value = 1.50;\\n currencyInfo.put(entry16, value);\\n Currency entry17 = new Currency(\\\"eur\\\", \\\"20121025\\\");\\n value = 1.50;\\n currencyInfo.put(entry17, value);\\n Currency entry18 = new Currency(\\\"eur\\\", \\\"20121026\\\");\\n value = 1.51;\\n currencyInfo.put(entry18, value);\\n Currency entry19 = new Currency(\\\"eur\\\", \\\"20121027\\\");\\n value = 1.51;\\n currencyInfo.put(entry19, value);\\n Currency entry20 = new Currency(\\\"eur\\\", \\\"20121028\\\");\\n value = 1.50;\\n currencyInfo.put(entry20, value);\\n Currency entry21 = new Currency(\\\"eur\\\", \\\"20121029\\\");\\n value = 1.55;\\n currencyInfo.put(entry21, value);\\n Currency entry22 = new Currency(\\\"eur\\\", \\\"20121030\\\");\\n value = 1.50;\\n currencyInfo.put(entry22, value);\\n Currency entry23 = new Currency(\\\"eur\\\", \\\"20121031\\\");\\n value = 1.60;\\n currencyInfo.put(entry23, value);\\n Currency entry24 = new Currency(\\\"eur\\\", \\\"20121101\\\");\\n value = 2.00;\\n currencyInfo.put(entry24, value);\\n Currency entry25 = new Currency(\\\"eur\\\", \\\"20121102\\\");\\n value = 2.01;\\n currencyInfo.put(entry25, value);\\n Currency entry26 = new Currency(\\\"eur\\\", \\\"20121103\\\");\\n value = 2.00;\\n currencyInfo.put(entry26, value);\\n Currency entry27 = new Currency(\\\"eur\\\", \\\"20121104\\\");\\n value = 1.98;\\n currencyInfo.put(entry27, value);\\n Currency entry28 = new Currency(\\\"eur\\\", \\\"20121105\\\");\\n value = 1.97;\\n currencyInfo.put(entry28, value);\\n Currency entry29 = new Currency(\\\"eur\\\", \\\"20121106\\\");\\n value = 1.95;\\n currencyInfo.put(entry29, value);\\n Currency entry30 = new Currency(\\\"eur\\\", \\\"20121107\\\");\\n value = 1.80;\\n currencyInfo.put(entry30, value);\\n Currency entry31 = new Currency(\\\"eur\\\", \\\"20121108\\\");\\n value = 1.70;\\n currencyInfo.put(entry31, value);\\n Currency entry32 = new Currency(\\\"eur\\\", \\\"20121109\\\");\\n value = 1.71;\\n currencyInfo.put(entry32, value);\\n Currency entry33 = new Currency(\\\"eur\\\", \\\"20121110\\\");\\n value = 1.69;\\n currencyInfo.put(entry33, value);\\n Currency entry34 = new Currency(\\\"eur\\\", \\\"20121111\\\");\\n value = 1.69;\\n currencyInfo.put(entry34, value);\\n Currency entry35 = new Currency(\\\"eur\\\", \\\"20121112\\\");\\n value = 1.71;\\n currencyInfo.put(entry35, value);\\n Currency entry36 = new Currency(\\\"eur\\\", \\\"20121113\\\");\\n value = 1.69;\\n currencyInfo.put(entry36, value);\\n Currency entry37 = new Currency(\\\"eur\\\", \\\"20121114\\\");\\n value = 1.65;\\n currencyInfo.put(entry37, value);\\n Currency entry38 = new Currency(\\\"eur\\\", \\\"20121115\\\");\\n value = 1.66;\\n currencyInfo.put(entry38, value);\\n Currency entry39 = new Currency(\\\"eur\\\", \\\"20121116\\\");\\n value = 1.75;\\n currencyInfo.put(entry39, value);\\n Currency entry40 = new Currency(\\\"eur\\\", \\\"20121117\\\");\\n value = 1.75;\\n currencyInfo.put(entry40, value);\\n Currency entry41 = new Currency(\\\"eur\\\", \\\"20121118\\\");\\n value = 2.00;\\n currencyInfo.put(entry41, value);\\n Currency entry42 = new Currency(\\\"eur\\\", \\\"20121119\\\");\\n value = 2.10;\\n currencyInfo.put(entry42, value);\\n Currency entry43 = new Currency(\\\"eur\\\", \\\"20121120\\\");\\n value = 2.09;\\n currencyInfo.put(entry43, value);\\n Currency entry44 = new Currency(\\\"eur\\\", \\\"20121121\\\");\\n value = 2.10;\\n currencyInfo.put(entry44, value);\\n Currency entry45 = new Currency(\\\"eur\\\", \\\"20121122\\\");\\n value = 2.08;\\n currencyInfo.put(entry45, value);\\n Currency entry46 = new Currency(\\\"eur\\\", \\\"20121123\\\");\\n value = 2.05;\\n currencyInfo.put(entry46, value);\\n Currency entry47 = new Currency(\\\"eur\\\", \\\"20121124\\\");\\n value = 2.00;\\n currencyInfo.put(entry47, value);\\n Currency entry48 = new Currency(\\\"eur\\\", \\\"20121125\\\");\\n value = 1.98;\\n currencyInfo.put(entry48, value);\\n Currency entry49 = new Currency(\\\"eur\\\", \\\"20121126\\\");\\n value = 1.99;\\n currencyInfo.put(entry49, value);\\n Currency entry50 = new Currency(\\\"eur\\\", \\\"20121127\\\");\\n value = 1.89;\\n currencyInfo.put(entry50, value);\\n Currency entry51 = new Currency(\\\"eur\\\", \\\"20121128\\\");\\n value = 1.80;\\n currencyInfo.put(entry51, value);\\n Currency entry52 = new Currency(\\\"eur\\\", \\\"20121129\\\");\\n value = 1.81;\\n currencyInfo.put(entry52, value);\\n Currency entry53 = new Currency(\\\"eur\\\", \\\"20121130\\\");\\n value = 1.80;\\n currencyInfo.put(entry53, value);\\n\\n // Brazilian Real\\n Currency brlEntry = new Currency(\\\"brl\\\", \\\"20121120\\\");\\n value = 2.13;\\n currencyInfo.put(brlEntry, value);\\n brlEntry = new Currency(\\\"brl\\\", \\\"20121121\\\");\\n value = 2.10;\\n currencyInfo.put(brlEntry, value);\\n brlEntry = new Currency(\\\"brl\\\", \\\"20121122\\\");\\n value = 2.05;\\n currencyInfo.put(brlEntry, value);\\n brlEntry = new Currency(\\\"brl\\\", \\\"20121123\\\");\\n value = 2.22;\\n currencyInfo.put(brlEntry, value);\\n brlEntry = new Currency(\\\"brl\\\", \\\"20121124\\\");\\n value = 2.00;\\n currencyInfo.put(brlEntry, value);\\n brlEntry = new Currency(\\\"brl\\\", \\\"20121125\\\");\\n value = 2.02;\\n currencyInfo.put(brlEntry, value);\\n brlEntry = new Currency(\\\"brl\\\", \\\"20121126\\\");\\n value = 1.98;\\n currencyInfo.put(brlEntry, value);\\n brlEntry = new Currency(\\\"brl\\\", \\\"20121127\\\");\\n value = 2.08;\\n currencyInfo.put(brlEntry, value);\\n brlEntry = new Currency(\\\"brl\\\", \\\"20121128\\\");\\n value = 2.13;\\n currencyInfo.put(brlEntry, value);\\n brlEntry = new Currency(\\\"brl\\\", \\\"20121129\\\");\\n value = 2.15;\\n currencyInfo.put(brlEntry, value);\\n brlEntry = new Currency(\\\"brl\\\", \\\"20121130\\\");\\n value = 2.10;\\n currencyInfo.put(brlEntry, value);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5dc7ce71fabf542300914e214b806c32\",\n \"score\": \"0.54041815\",\n \"text\": \"void setCurrency(final Currency currency);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"535f056038e9c7d79749afc1a283ad9f\",\n \"score\": \"0.5400851\",\n \"text\": \"public String getCurrency() {\\n return localCurrency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa6262b5c680f868cd044356ed8bfce7\",\n \"score\": \"0.5398871\",\n \"text\": \"public RequestJson putCurrency(String key, Currency value) {\\n return putStringNoEscape(key, value == null ? null : value.getStringValue());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"18faf9c34b97432a01a514acafd2740d\",\n \"score\": \"0.5398073\",\n \"text\": \"public abstract void setCountryCurrency(java.util.Set countryCurrency);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d50f6ef322ccb8364745db07f57e106\",\n \"score\": \"0.5379652\",\n \"text\": \"public void xsetCurrencyCode(x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode currencyCode)\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode target = null;\\n target = (x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode)get_store().find_element_user(CURRENCYCODE$20, 0);\\n if (target == null)\\n {\\n target = (x0101.oecdStandardAuditFileTaxPT1.SAFPTCurrencyCode)get_store().add_element_user(CURRENCYCODE$20);\\n }\\n target.set(currencyCode);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"936967e107c35c6ffef0f41bf044a068\",\n \"score\": \"0.5353941\",\n \"text\": \"public Currency getCurrency() {\\n return _currency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ade573b74118ffeb0e7e2c8976caa198\",\n \"score\": \"0.5341905\",\n \"text\": \"public java.lang.String getQuoteCurrencyForTicker() {\\n java.lang.Object ref = quoteCurrencyForTicker_;\\n if (!(ref instanceof java.lang.String)) {\\n com.google.protobuf.ByteString bs =\\n (com.google.protobuf.ByteString) ref;\\n java.lang.String s = bs.toStringUtf8();\\n quoteCurrencyForTicker_ = s;\\n return s;\\n } else {\\n return (java.lang.String) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"925f01eadb9e48bc2a634810849e396f\",\n \"score\": \"0.5341606\",\n \"text\": \"public int getNumericCode() {\\n return icuCurrency.getNumericCode();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"710bde848b30270b5dc8ebee4874f552\",\n \"score\": \"0.534074\",\n \"text\": \"public String getSymbol(){\\n return this.symbol;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d7b71cba8393a38daee85192db1c732e\",\n \"score\": \"0.5340331\",\n \"text\": \"String getTickerSymbol();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"881addc349cf743cfeddcdfd6761dadf\",\n \"score\": \"0.53363675\",\n \"text\": \"public java.lang.String getQuoteCurrencyForTicker() {\\n java.lang.Object ref = quoteCurrencyForTicker_;\\n if (ref instanceof java.lang.String) {\\n return (java.lang.String) ref;\\n } else {\\n com.google.protobuf.ByteString bs = \\n (com.google.protobuf.ByteString) ref;\\n java.lang.String s = bs.toStringUtf8();\\n quoteCurrencyForTicker_ = s;\\n return s;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2dab4ab97f1c1fa425df1adb4f390650\",\n \"score\": \"0.533368\",\n \"text\": \"public static Currency inputCurrency() {\\r\\n\\t\\tString currencyISO = Helper.readString(\\\"Enter currency ISO > \\\");\\r\\n\\t\\tString currencyName = Helper.readString(\\\"Enter currency name > \\\");\\r\\n\\t\\tdouble buyRate = Helper.readDouble(\\\"Enter buy rate > \\\");\\r\\n\\t\\tdouble sellRate = Helper.readDouble(\\\"Enter sell rate >\\\");\\r\\n\\r\\n\\t\\tCurrency c = new Currency(currencyISO, currencyName, buyRate, sellRate);\\r\\n\\t\\treturn c;\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ec8273a847f8680cebd2ff8d39c613f7\",\n \"score\": \"0.53247714\",\n \"text\": \"public void setMxnCurrency(String value) {\\n setAttributeInternal(MXNCURRENCY, value);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"80e1cbeb344c10f1474dc97004bea393\",\n \"score\": \"0.5319681\",\n \"text\": \"void removeCurrency(String oldCurrency);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7a2949b1afdfa6f4507561c68c9b9471\",\n \"score\": \"0.5292795\",\n \"text\": \"public String getCY_ISO_CODE() {\\n return CY_ISO_CODE;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a48170fb5de4ce173afbd6262b3e20e\",\n \"score\": \"0.5288245\",\n \"text\": \"public void setCurrency(String currency) {\\n Booking.CURRENCY.setValue(this, currency);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e375d58847fc4a7b53667c4e8c373e0\",\n \"score\": \"0.52651197\",\n \"text\": \"public Symbol newSymbol(String name, int id, Object value);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed84f689ff1bc1cf632e1b4bb91a4038\",\n \"score\": \"0.52585256\",\n \"text\": \"public abstract void setCountryCd(String countryCd);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9c15de3bc86c4c3d0ab00be1efec5018\",\n \"score\": \"0.5242427\",\n \"text\": \"public Map<String, Currency> getCurrencyMap() {\\n return _curveCurrency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b363fd703592145876487f197beed5b8\",\n \"score\": \"0.5233408\",\n \"text\": \"io.dstore.values.StringValue getPaymentType();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8055b46572e3c6c67b11f310fb6a84dd\",\n \"score\": \"0.52295166\",\n \"text\": \"public void setCurrency(advcash.wsm.Currency currency) {\\n this.currency = currency;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9865445f99b2f6d01ff680438a7ee418\",\n \"score\": \"0.5225737\",\n \"text\": \"private Symbols() {\\n locale = Locale.US;\\n numberFormat = DEFAULT.numberFormat;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992489,"cells":{"query_id":{"kind":"string","value":"7f02ec8a551f844c15c60bf61cfa7660"},"query":{"kind":"string","value":"/ PackageDeclaration: 'package' name = QualifiedName ';' ; / QualifiedNameWithWildcard: QualifiedName \".\"?;"},"positive_passages":{"kind":"list like","value":[{"docid":"5c38ca27757d45e456bf45f555ac7cf5","score":"0.5044758","text":"public QualifiedNameWithWildcardElements getQualifiedNameWithWildcardAccess() {\n\t\treturn (pQualifiedNameWithWildcard != null) ? pQualifiedNameWithWildcard : (pQualifiedNameWithWildcard = new QualifiedNameWithWildcardElements());\n\t}","title":""}],"string":"[\n {\n \"docid\": \"5c38ca27757d45e456bf45f555ac7cf5\",\n \"score\": \"0.5044758\",\n \"text\": \"public QualifiedNameWithWildcardElements getQualifiedNameWithWildcardAccess() {\\n\\t\\treturn (pQualifiedNameWithWildcard != null) ? pQualifiedNameWithWildcard : (pQualifiedNameWithWildcard = new QualifiedNameWithWildcardElements());\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"dd08a7a9d274f1cf6edd28e59e22d59f","score":"0.7137841","text":"PackageDeclaration createPackageDeclaration();","title":""},{"docid":"37320c8bfe87c2cbdb13a7d5b0fb7791","score":"0.65713537","text":"public void visitPackageDeclaration(GNode n){\n\t\t\t\t\tString hLine = \"\";\n\t\t\t\t\thflag = true;\n\t\t\t\t\tvisit(n);\n\t\t\t\t\twhile(hstring.peekFirst()!=null){\n\t\t\t\t\t\tif(hstring.peekFirst()==\".\"){\n\t\t\t\t\t\t\thstring.pop();\n\t\t\t\t\t\t\tmarginSpaceH = marginSpaceH + \" \";\n\t\t\t\t\t\t\thLine = marginSpaceH;\n\t\t\t\t\t\t}\n\t\t\t\t\t\thLine = hLine + \"namespace \";\n\t\t\t\t\t\thLine = hLine + hstring.pop() + \"{\";\n\t\t\t\t\t\tnameSpaceH.add(hLine);\n\t\t\t\t\t}\n\t\t\t\t\thflag = false;\n\t\t\t\t\t\n\t\t\t\t\tString ccLine = \"\";\n\t\t\t\t\tvisit(n);\n\t\t\t\t\twhile(ccstring.peekFirst()!=null){\n\t\t\t\t\t\tif(ccstring.peekFirst()==\".\"){\n\t\t\t\t\t\t\tccstring.pop();\n\t\t\t\t\t\t\tmarginSpaceCC = marginSpaceCC + \" \";\n\t\t\t\t\t\t\tccLine = marginSpaceCC;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tccLine = ccLine + \"namespace \";\n\t\t\t\t\t\tccLine = ccLine + ccstring.pop() + \"{\";\n\t\t\t\t\t\tnameSpaceCC.add(ccLine);\n\t\t\t\t\t}\t\t\t\t\t\t\t\t\t\n\t\t\t\t}","title":""},{"docid":"d15b9180ed0a358431c8d8af6d980120","score":"0.6232927","text":"public final JavaParser.packageDeclaration_return packageDeclaration() throws RecognitionException {\n JavaParser.packageDeclaration_return retval = new JavaParser.packageDeclaration_return();\n retval.start = input.LT(1);\n\n int packageDeclaration_StartIndex = input.index();\n\n CommonTree root_0 = null;\n\n Token PACKAGE8=null;\n Token SEMI10=null;\n JavaParser.qualifiedIdentifier_return qualifiedIdentifier9 =null;\n\n\n CommonTree PACKAGE8_tree=null;\n CommonTree SEMI10_tree=null;\n\n try {\n if ( state.backtracking>0 && alreadyParsedRule(input, 4) ) { return retval; }\n\n // Java.g:561:5: ( PACKAGE ^ qualifiedIdentifier SEMI !)\n // Java.g:561:9: PACKAGE ^ qualifiedIdentifier SEMI !\n {\n root_0 = (CommonTree)adaptor.nil();\n\n\n PACKAGE8=(Token)match(input,PACKAGE,FOLLOW_PACKAGE_in_packageDeclaration4629); if (state.failed) return retval;\n if ( state.backtracking==0 ) {\n PACKAGE8_tree = \n (CommonTree)adaptor.create(PACKAGE8)\n ;\n root_0 = (CommonTree)adaptor.becomeRoot(PACKAGE8_tree, root_0);\n }\n\n pushFollow(FOLLOW_qualifiedIdentifier_in_packageDeclaration4632);\n qualifiedIdentifier9=qualifiedIdentifier();\n\n state._fsp--;\n if (state.failed) return retval;\n if ( state.backtracking==0 ) adaptor.addChild(root_0, qualifiedIdentifier9.getTree());\n\n SEMI10=(Token)match(input,SEMI,FOLLOW_SEMI_in_packageDeclaration4634); if (state.failed) return retval;\n\n }\n\n retval.stop = input.LT(-1);\n\n\n if ( state.backtracking==0 ) {\n\n retval.tree = (CommonTree)adaptor.rulePostProcessing(root_0);\n adaptor.setTokenBoundaries(retval.tree, retval.start, retval.stop);\n }\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n \tretval.tree = (CommonTree)adaptor.errorNode(input, retval.start, input.LT(-1), re);\n\n }\n\n finally {\n \t// do for sure before leaving\n if ( state.backtracking>0 ) { memoize(input, 4, packageDeclaration_StartIndex); }\n\n }\n return retval;\n }","title":""},{"docid":"c64d0d400cc66fa75e31b7ca131d58df","score":"0.61978966","text":"private PackageDeclare parse_pkg_declare() throws SyntaxException {\n LineCol lineCol = current.getLineCol();\n\n nextNode(false);\n if (current instanceof ElementStartNode) {\n Node pkgNode = ((ElementStartNode) current).getLinkedNode();\n if (pkgNode instanceof Element) {\n StringBuilder sb = new StringBuilder();\n boolean isName = true;\n\n while (pkgNode != null && (pkgNode instanceof Element) && (((Element) pkgNode).getContent().equals(\"::\")\n ||\n ((Element) pkgNode).isValidName)) {\n Element elem = (Element) pkgNode;\n String s = elem.getContent();\n if (!isName && !s.equals(\"::\")) {\n throw new UnexpectedTokenException(\"::\", s, elem.getLineCol());\n }\n isName = !isName;\n sb.append(s);\n pkgNode = pkgNode.next();\n }\n\n AST.PackageRef pkg = new AST.PackageRef(sb.toString(), lineCol);\n return new PackageDeclare(pkg, lineCol);\n } else {\n throw new UnexpectedTokenException(\"package\", pkgNode.toString(), pkgNode.getLineCol());\n }\n } else {\n throw new UnexpectedTokenException(current.toString(), current.getLineCol());\n }\n }","title":""},{"docid":"23ee36da5bf7d0f41120e65969c36520","score":"0.6090211","text":"public JPackage getPackage(String targetNamespace) {\n/* 452 */ XSSchema s = ((XSSchemaSet)Ring.get(XSSchemaSet.class)).getSchema(targetNamespace);\n/* */ \n/* 454 */ BISchemaBinding sb = (BISchemaBinding)this.builder.getBindInfo((XSComponent)s).get(BISchemaBinding.class);\n/* */ \n/* 456 */ if (sb != null) sb.markAsAcknowledged();\n/* */ \n/* 458 */ String name = null;\n/* */ \n/* */ \n/* 461 */ if (this.builder.defaultPackage1 != null) {\n/* 462 */ name = this.builder.defaultPackage1;\n/* */ }\n/* */ \n/* 465 */ if (name == null && sb != null && sb.getPackageName() != null) {\n/* 466 */ name = sb.getPackageName();\n/* */ }\n/* */ \n/* 469 */ if (name == null && this.builder.defaultPackage2 != null) {\n/* 470 */ name = this.builder.defaultPackage2;\n/* */ }\n/* */ \n/* 473 */ if (name == null) {\n/* 474 */ name = this.builder.getNameConverter().toPackageName(targetNamespace);\n/* */ }\n/* */ \n/* */ \n/* 478 */ if (name == null) {\n/* 479 */ name = \"generated\";\n/* */ }\n/* */ \n/* */ \n/* 483 */ if (checkedPackageNames.add(name))\n/* */ {\n/* 485 */ if (!JJavaName.isJavaPackageName(name))\n/* */ {\n/* */ \n/* */ \n/* 489 */ getErrorReporter().error(s.getLocator(), \"ClassSelector.IncorrectPackageName\", new Object[] { targetNamespace, name });\n/* */ }\n/* */ }\n/* */ \n/* 493 */ return ((JCodeModel)Ring.get(JCodeModel.class))._package(name);\n/* */ }","title":""},{"docid":"726e8b6f74f515c486e1fdbfe6e58408","score":"0.60707766","text":"public interface RuntimePackage extends RuntimeElement, BarePackage, Immutable {\n @Override\n ImmutableList<? extends RuntimePluginDeclaration> getDeclarations();\n\n /**\n * Returns the name of the bundle that provides this pacakge.\n *\n * @return name of bundle that provides this package, guaranteed to be non-null\n * @see RuntimeBundle#getBundleIdentifier()\n */\n URI getBundleIdentifier();\n}","title":""},{"docid":"1eabb7744f624774d0967c107b24bc8a","score":"0.60649437","text":"public interface PsiPackage extends PsiCheckedRenameElement, NavigationItem, PsiJvmModifiersOwner,\n PsiDirectoryContainer, PsiQualifiedNamedElement, JvmPackage {\n\n String PACKAGE_INFO_CLASS = \"package-info\";\n String PACKAGE_INFO_FILE = PACKAGE_INFO_CLASS + \".java\";\n String PACKAGE_INFO_CLS_FILE = PACKAGE_INFO_CLASS + \".class\";\n\n PsiPackage[] EMPTY_ARRAY = new PsiPackage[0];\n\n /**\n * Returns the full-qualified name of the package.\n *\n * @return the full-qualified name, or an empty string for the default package.\n */\n @Override\n @NotNull\n @NlsSafe\n String getQualifiedName();\n\n /**\n * Returns the parent of the package.\n *\n * @return the parent package, or null for the default package.\n */\n @Override\n @Nullable\n PsiPackage getParentPackage();\n\n /**\n * Returns the list of subpackages of this package under all source roots of the project.\n *\n * @return the array of subpackages.\n */\n PsiPackage @NotNull [] getSubPackages();\n\n /**\n * Returns the list of subpackages of this package in the specified search scope.\n *\n * @param scope the scope in which packages are searched.\n * @return the array of subpackages.\n */\n PsiPackage @NotNull [] getSubPackages(@NotNull GlobalSearchScope scope);\n\n /**\n * Returns the list of classes in all directories corresponding to the package.\n *\n * @return the array of classes.\n */\n PsiClass @NotNull [] getClasses();\n\n /**\n * Returns the list of classes in directories corresponding to the package in the specified\n * search scope.\n *\n * @param scope the scope in which directories are searched.\n * @return the array of classes.\n */\n PsiClass @NotNull [] getClasses(@NotNull GlobalSearchScope scope);\n\n /**\n * Returns the list of all files in the package, restricted by the specified scope. (This is\n * normally the list of all files in all directories corresponding to the package, but it can\n * be modified by custom language plugins which have a different notion of packages.)\n */\n PsiFile @NotNull [] getFiles(@NotNull GlobalSearchScope scope);\n\n /**\n * Returns the list of package-level annotations for the package.\n *\n * @return the list of annotations, or null if the package does not have any package-level annotations.\n */\n @Nullable\n PsiModifierList getAnnotationList();\n\n /**\n * This method must be invoked on the package after all directories corresponding\n * to it have been renamed/moved accordingly to qualified name change.\n *\n * @param newQualifiedName the new qualified name of the package.\n */\n void handleQualifiedNameChange(@NotNull String newQualifiedName);\n\n /**\n * Returns source roots that this package occurs in package prefixes of.\n *\n * @return the array of virtual files for the source roots.\n */\n VirtualFile @NotNull [] occursInPackagePrefixes();\n\n @Override\n @Nullable(\"default package\") @NlsSafe\n String getName();\n\n boolean containsClassNamed(@NotNull String name);\n\n PsiClass @NotNull [] findClassByShortName(@NotNull String name, @NotNull GlobalSearchScope scope);\n}","title":""},{"docid":"cc48644c8ccfe05282aba25ed87e0302","score":"0.6005535","text":"protected void transformPackageDeclaration() {\n PackageDeclaration packageDeclaration = new PackageDeclaration(sourceClass.getPackageName());\n projectStructure.addPackageDeclaration(sourceClass.getClassName(), packageDeclaration);\n }","title":""},{"docid":"4782ba38c9f8b09421cc70d6ed685e2f","score":"0.59951985","text":"@Override\r\n\tpublic void visit(PackageDeclaration n, HashMap<String, String> arg) {\n\t\tpackageValue = n.getName().toString();\r\n\t}","title":""},{"docid":"1ad9e8f4ddb53445e4d18298c27af134","score":"0.5935163","text":"public MyPackage getPackage() {\n return declaringPackage;\n }","title":""},{"docid":"8fa5699885498022030bc15b85a3d0ff","score":"0.5915272","text":"private SpecificPackage() {}","title":""},{"docid":"7b4448cdf7a424d0f0d6dbff6ba57827","score":"0.59145033","text":"static boolean hasPackageDeclaration(String code)\n {\n return PACKAGE_DECLARATION_PATTERN.matcher(code).find();\n }","title":""},{"docid":"2d60db4dd9b802540dc39019ed83df32","score":"0.58818305","text":"public PackageSpecification getPackage(String name);","title":""},{"docid":"b2d4b7ba9c2febd7659c74417f2d0a97","score":"0.5870583","text":"public void setPackage(MyPackage pkg) {\n declaringPackage = pkg;\n }","title":""},{"docid":"09f5411180ce81242490f39b94025d72","score":"0.58666945","text":"Package createPackage();","title":""},{"docid":"edcce0e05f88c7b84e29ab976b6fd898","score":"0.5799075","text":"private String parsePackageName(Element annotatedClass) {\n Element enclosing = annotatedClass;\n while (enclosing.getKind() != ElementKind.PACKAGE) {\n enclosing = enclosing.getEnclosingElement();\n }\n return enclosing.toString();\n }","title":""},{"docid":"bca9511b10ad93c4065ca0e8cac057d1","score":"0.5750869","text":"private String getPackageName(String qualifiedName) {\n int lastPeriodPos = qualifiedName.lastIndexOf('.');\n return (lastPeriodPos == -1) ? \"\" : qualifiedName.substring(0,\n lastPeriodPos);\n }","title":""},{"docid":"0234b6d5fc49d5173bdc008ff0dcad6f","score":"0.57500213","text":"Problem putPackage(String name, Package pkg);","title":""},{"docid":"6f69c08e31ad4d07b8410e7c841526a6","score":"0.57235456","text":"public abstract String packageName();","title":""},{"docid":"2126f1b494045cb4365c09fded81c4a7","score":"0.57166696","text":"protected abstract String getPackage();","title":""},{"docid":"822e40118d3b609590cdfdd0b3ad38c2","score":"0.5706555","text":"private String getPackageQualifier() {\n String packageName = getPackageName();\n if ((packageName != null) && (! packageName.equals(\"\"))) { packageName = packageName + \".\"; }\n return packageName;\n }","title":""},{"docid":"3b1f29291fbe394a223bce2aac8cedf6","score":"0.56687814","text":"public T casePackageDeclaration(PackageDeclaration object)\n {\n return null;\n }","title":""},{"docid":"b8a25b3845dd4016efd40d755e2bdb41","score":"0.5657234","text":"MetaPackage getMetaPackage();","title":""},{"docid":"fde0c27dfe8e88d645239acc598fb363","score":"0.5616389","text":"public boolean isJavaPackage(String name);","title":""},{"docid":"47c990029b1c147606f2dc0449a8951a","score":"0.56151783","text":"public final void rule__PackageDeclaration__NameAssignment_1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15801:1: ( ( ruleQualifiedName ) )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15802:1: ( ruleQualifiedName )\n {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15802:1: ( ruleQualifiedName )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15803:1: ruleQualifiedName\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getPackageDeclarationAccess().getNameQualifiedNameParserRuleCall_1_0()); \n }\n pushFollow(FOLLOW_ruleQualifiedName_in_rule__PackageDeclaration__NameAssignment_131794);\n ruleQualifiedName();\n\n state._fsp--;\n if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getPackageDeclarationAccess().getNameQualifiedNameParserRuleCall_1_0()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"322c3c5c23e9776a8c989b37ea63e2cc","score":"0.55932605","text":"public ValaPackage(String name) {\n\t\tsuper();\n\t\tthis.name = name;\n\t}","title":""},{"docid":"0d187e59211653e604bb8fb5b80ed02c","score":"0.55781275","text":"public abstract PackageIdentifier getContainingPackageName();","title":""},{"docid":"b1cf3adbb3ff01f4c46f238c5b9d4737","score":"0.5571076","text":"public String getPackageName(String fullyQualifiedName) {\n\t\tString packageName = null;\n\t\tif (StringUtils.isNotBlank(fullyQualifiedName)) {\n\t\t\tint lastDot = fullyQualifiedName.lastIndexOf('.');\n\t\t\tpackageName = (lastDot >= 0 ? fullyQualifiedName.substring(0,\n\t\t\t\t\tlastDot) : \"\");\n\t\t} else {\n\t\t\tpackageName = \"\";\n\t\t}\n\n\t\treturn packageName;\n\t}","title":""},{"docid":"7fdd0eb59944f1da9e19aa743718b881","score":"0.556045","text":"private static String getPackagePortion(String name)\n {\n \tint lastInd = name.lastIndexOf('.');\n \tif (lastInd == -1)\n \t\treturn \"\";\n \treturn name.substring(0, lastInd);\n }","title":""},{"docid":"37af552e2d0e39b71633d471882af98e","score":"0.5554285","text":"public void extractPackage();","title":""},{"docid":"ae3a3558034ecd0bd8221dc6b9493088","score":"0.5553764","text":"public final void rule__DImport__ImportedNamespaceAssignment_1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \t\n try {\n // InternalDom.g:10384:1: ( ( ruleDQualifiedNameWithWildcard ) )\n // InternalDom.g:10385:2: ( ruleDQualifiedNameWithWildcard )\n {\n // InternalDom.g:10385:2: ( ruleDQualifiedNameWithWildcard )\n // InternalDom.g:10386:3: ruleDQualifiedNameWithWildcard\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getDImportAccess().getImportedNamespaceDQualifiedNameWithWildcardParserRuleCall_1_0()); \n }\n pushFollow(FOLLOW_2);\n ruleDQualifiedNameWithWildcard();\n\n state._fsp--;\n if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getDImportAccess().getImportedNamespaceDQualifiedNameWithWildcardParserRuleCall_1_0()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"0b65df41232e362348d36ca0b810aa8c","score":"0.5549386","text":"public final void mPACKAGE() throws RecognitionException {\n try {\n int _type = PACKAGE;\n // JS.g:169:9: ( 'package' )\n // JS.g:169:11: 'package'\n {\n match(\"package\"); \n\n\n }\n\n this.type = _type;\n }\n finally {\n }\n }","title":""},{"docid":"641af8e99e21fce9cb072c144a0d362c","score":"0.55227983","text":"@Override\r\n\tpublic String getNameSpace(String statement) {\n\t\treturn NAMESPACE + statement;\r\n\t}","title":""},{"docid":"51c35c1c512288516363a54c2406837d","score":"0.5516839","text":"public PackageStatement getPackageStatement() {\n return pkg;\n }","title":""},{"docid":"cd6b2bec91978b013fc4cfd7db843ed2","score":"0.550144","text":"public final void rule__XImportDeclaration__ImportedNamespaceAssignment_1_2() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \t\r\n try {\r\n // InternalBugsly.g:18602:1: ( ( ruleQualifiedNameWithWildcard ) )\r\n // InternalBugsly.g:18603:2: ( ruleQualifiedNameWithWildcard )\r\n {\r\n // InternalBugsly.g:18603:2: ( ruleQualifiedNameWithWildcard )\r\n // InternalBugsly.g:18604:3: ruleQualifiedNameWithWildcard\r\n {\r\n if ( state.backtracking==0 ) {\r\n before(grammarAccess.getXImportDeclarationAccess().getImportedNamespaceQualifiedNameWithWildcardParserRuleCall_1_2_0()); \r\n }\r\n pushFollow(FOLLOW_2);\r\n ruleQualifiedNameWithWildcard();\r\n\r\n state._fsp--;\r\n if (state.failed) return ;\r\n if ( state.backtracking==0 ) {\r\n after(grammarAccess.getXImportDeclarationAccess().getImportedNamespaceQualifiedNameWithWildcardParserRuleCall_1_2_0()); \r\n }\r\n\r\n }\r\n\r\n\r\n }\r\n\r\n }\r\n catch (RecognitionException re) {\r\n reportError(re);\r\n recover(input,re);\r\n }\r\n finally {\r\n\r\n \trestoreStackSize(stackSize);\r\n\r\n }\r\n return ;\r\n }","title":""},{"docid":"a31d4df2e5570b206a7bdcfec254cf64","score":"0.54899687","text":"public final void rule__XImportDeclaration__ImportedNamespaceAssignment_1_2() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:17982:1: ( ( ruleQualifiedNameWithWildcard ) )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:17983:1: ( ruleQualifiedNameWithWildcard )\n {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:17983:1: ( ruleQualifiedNameWithWildcard )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:17984:1: ruleQualifiedNameWithWildcard\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXImportDeclarationAccess().getImportedNamespaceQualifiedNameWithWildcardParserRuleCall_1_2_0()); \n }\n pushFollow(FOLLOW_ruleQualifiedNameWithWildcard_in_rule__XImportDeclaration__ImportedNamespaceAssignment_1_236251);\n ruleQualifiedNameWithWildcard();\n\n state._fsp--;\n if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXImportDeclarationAccess().getImportedNamespaceQualifiedNameWithWildcardParserRuleCall_1_2_0()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"8c71982a4dbcab7fa3eeaaeeb8a92007","score":"0.5462047","text":"PackageDeclarationNestedNamespaceCS getNestedNamespace();","title":""},{"docid":"490d9b8011cb7e68d52ca42ee1001ac1","score":"0.54585755","text":"org.jetbrains.kotlin.metadata.ProtoBuf.Package getPackage();","title":""},{"docid":"01819f3bb71dbea65075c27a130cff68","score":"0.545687","text":"public String getPackage(String extention)\n\t{\n\t\t\n\t\treturn packageString(\"com.dataAccess\", extention);\n\t}","title":""},{"docid":"cd29ab2ab34eaa80f9c13f121a400de6","score":"0.5416746","text":"void setPackageName(String packageName) {\r\n this.packageName = packageName;\r\n }","title":""},{"docid":"84dc0f967d2d844f7063fb278551efe2","score":"0.541512","text":"public final void rule__DQualifiedNameWithWildcard__Group__1__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \t\n try {\n // InternalDom.g:10020:1: ( ( ( '.*' )? ) )\n // InternalDom.g:10021:1: ( ( '.*' )? )\n {\n // InternalDom.g:10021:1: ( ( '.*' )? )\n // InternalDom.g:10022:2: ( '.*' )?\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getDQualifiedNameWithWildcardAccess().getFullStopAsteriskKeyword_1()); \n }\n // InternalDom.g:10023:2: ( '.*' )?\n int alt81=2;\n int LA81_0 = input.LA(1);\n\n if ( (LA81_0==105) ) {\n alt81=1;\n }\n switch (alt81) {\n case 1 :\n // InternalDom.g:10023:3: '.*'\n {\n match(input,105,FOLLOW_2); if (state.failed) return ;\n\n }\n break;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getDQualifiedNameWithWildcardAccess().getFullStopAsteriskKeyword_1()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"bcf51945825720e85ec7dcb32dc97592","score":"0.5413718","text":"public final void rule__QualifiedNameWithWildCard__Group__1__Impl() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \r\n try {\r\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:2876:1: ( ( ( '.*' )? ) )\r\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:2877:1: ( ( '.*' )? )\r\n {\r\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:2877:1: ( ( '.*' )? )\r\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:2878:1: ( '.*' )?\r\n {\r\n before(grammarAccess.getQualifiedNameWithWildCardAccess().getFullStopAsteriskKeyword_1()); \r\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:2879:1: ( '.*' )?\r\n int alt14=2;\r\n int LA14_0 = input.LA(1);\r\n\r\n if ( (LA14_0==30) ) {\r\n alt14=1;\r\n }\r\n switch (alt14) {\r\n case 1 :\r\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:2880:2: '.*'\r\n {\r\n match(input,30,FOLLOW_30_in_rule__QualifiedNameWithWildCard__Group__1__Impl5779); \r\n\r\n }\r\n break;\r\n\r\n }\r\n\r\n after(grammarAccess.getQualifiedNameWithWildCardAccess().getFullStopAsteriskKeyword_1()); \r\n\r\n }\r\n\r\n\r\n }\r\n\r\n }\r\n catch (RecognitionException re) {\r\n reportError(re);\r\n recover(input,re);\r\n }\r\n finally {\r\n\r\n \trestoreStackSize(stackSize);\r\n\r\n }\r\n return ;\r\n }","title":""},{"docid":"ad95ba28f0aadca59bb5bb2f056596ff","score":"0.54072094","text":"public void setPackageName(String packageName) {\r\n this.packageName = packageName;\r\n }","title":""},{"docid":"139b6e0e7db9253cb1195e885cb19818","score":"0.5405769","text":"@Pure\n\tString getDocumentationPackage();","title":""},{"docid":"b154d73de5438859f16785597435c33c","score":"0.5404397","text":"public String getPackageName() {\n // assert EventQueue.isDispatchThread();\n Reader r;\n r = new StringReader(getText()); // getText() is cheap if document is not resident\n try { return new Parser(r).packageDeclaration(Parser.DeclType.TOP).getName(); }\n catch (ParseException e) { return \"\"; }\n // addresses bug [ 1815387 ] Editor should discard parse errors for now\n // we should upgrade our parser to handle @\n catch (TokenMgrError e) { return \"\"; }\n catch (Error e) {\n // JavaCharStream does not use a useful exception type for escape character errors\n String msg = e.getMessage();\n if (msg != null && msg.startsWith(\"Invalid escape character\")) {\n return \"\";\n }\n else { throw e; }\n }\n finally {\n try { r.close(); }\n catch (IOException e) { /* ignore */ }\n }\n }","title":""},{"docid":"fbef9cd305d5287adadb0357c6e8097f","score":"0.5401863","text":"public abstract String getPackageName();","title":""},{"docid":"d593a30c2f875f3f50351eabd927bc9c","score":"0.54004365","text":"@Override\n public String getPackageName()\n {\n return classDefinition.getPackageName();\n }","title":""},{"docid":"96c5a7cc52e9752d68800a30de506589","score":"0.538963","text":"abstract String pkg();","title":""},{"docid":"0912421c386a20a6428a4fe2f9da0fcb","score":"0.5389027","text":"public String getNameInNamespace() {\n/* 327 */ return \"\";\n/* */ }","title":""},{"docid":"624a9a2ec417f0db29bab2fe27cc799b","score":"0.5377671","text":"String getTargetPackage();","title":""},{"docid":"5c71ec280923bd402e79bf423d3b6b83","score":"0.5366006","text":"public void testWildcards() {\n assertTrue(new ClassPermission(\"*\").implies(new ClassPermission(\"pkg.MyClass\")));\n assertTrue(new ClassPermission(\"pkg.*\").implies(new ClassPermission(\"pkg.MyClass\")));\n assertTrue(new ClassPermission(\"pkg.*\").implies(new ClassPermission(\"pkg.sub.MyClass\")));\n assertFalse(new ClassPermission(\"pkg.My*\").implies(new ClassPermission(\"pkg.MyClass\")));\n assertFalse(new ClassPermission(\"pkg*\").implies(new ClassPermission(\"pkg.MyClass\")));\n }","title":""},{"docid":"8c2877522401e79fb049b75494c95e10","score":"0.53640777","text":"@Test\n public void testPackageHeader() {\n checkDecls(getParser().parsePackageHeader(\"com.foo\", \"Export-Package\"), \"names=[com.foo]\");\n checkDecls(getParser().parsePackageHeader(\"com.foo.goo.boo,com.bib.bob.bub\", \"Export-Package\"), \"names=[com.foo.goo.boo]\",\n \"names=[com.bib.bob.bub]\");\n checkDecls(getParser().parsePackageHeader(\"com.a;com.b\", \"Export-Package\"), \"names=[com.a com.b]\");\n checkDecls(getParser().parsePackageHeader(\"com.a;com.bbbb,com.dd;com.eee\", \"Export-Package\"), \"names=[com.a com.bbbb]\",\n \"names=[com.dd com.eee]\");\n checkDecls(getParser().parsePackageHeader(\"com.springsource.server.osgi;version=1.2.3\", \"Export-Package\"),\n \"names=[com.springsource.server.osgi] attrs=[version=1.2.3]\");\n checkDecls(getParser().parsePackageHeader(\"com.springsource.server.osgi;uses:=org.springframework.core\", \"Export-Package\"),\n \"names=[com.springsource.server.osgi] directives=[uses:=org.springframework.core]\");\n checkDecls(getParser().parsePackageHeader(\"com.springsource.server.osgi;version=1.2.3;uses:=org.springframework.core\", \"Export-Package\"),\n \"names=[com.springsource.server.osgi] attrs=[version=1.2.3] directives=[uses:=org.springframework.core]\");\n checkDecls(getParser().parsePackageHeader(\n \"com.springsource.server.osgi;com.springsource.server.kernel;version=1.2.3;uses:=org.springframework.core\", \"Export-Package\"),\n \"names=[com.springsource.server.osgi com.springsource.server.kernel] attrs=[version=1.2.3] directives=[uses:=org.springframework.core]\");\n }","title":""},{"docid":"806bbccdeaafe0b24cbb32cfb8c099e6","score":"0.53437245","text":"public interface PackageNameProvider {\n /**\n * Returns a set of package names.\n *\n * @return the package names. An empty set is returned if no package names are to be provided.\n * @throws IOException if failed to get package names.\n */\n Set<String> get() throws IOException;\n}","title":""},{"docid":"65e97756cbbbd29b50aafb471726328c","score":"0.5342683","text":"private Vertex handlePackage() throws XMLStreamException {\n \n \t\tPackage pkg = sg.createPackage();\n \t\tpkg\n \t\t\t\t.set_qualifiedName(getQualifiedName(getAttribute(UML_ATTRIBUTE_NAME)));\n \t\tsg.createContainsSubPackage(packageStack.peek(), pkg);\n \t\tpackageStack.push(pkg);\n \t\treturn pkg;\n \t}","title":""},{"docid":"76679fcea46fdb009db0e2e621fefef8","score":"0.53418255","text":"public Void visitPackage(PackageElement e, Void p) {\n PRINT.INFO(e.getQualifiedName());\n return null;\n }","title":""},{"docid":"58b88d2225b1f1e748cbcc33f363282b","score":"0.53355765","text":"PackageDef(String name, // the name of the package\n\t\t\t Occurrence occ, // where it was defined (NULL)\n\t\t\t ScopedDef parentScope) { // which scope owns it\n\t\tsuper(name, occ, parentScope);\r\n\t}","title":""},{"docid":"e6c852e45215b317225e6204cb8ebdf0","score":"0.5331692","text":"public final void ruleQualifiedNameWithWildcard() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \t\r\n try {\r\n // InternalBugsly.g:2000:2: ( ( ( rule__QualifiedNameWithWildcard__Group__0 ) ) )\r\n // InternalBugsly.g:2001:2: ( ( rule__QualifiedNameWithWildcard__Group__0 ) )\r\n {\r\n // InternalBugsly.g:2001:2: ( ( rule__QualifiedNameWithWildcard__Group__0 ) )\r\n // InternalBugsly.g:2002:3: ( rule__QualifiedNameWithWildcard__Group__0 )\r\n {\r\n if ( state.backtracking==0 ) {\r\n before(grammarAccess.getQualifiedNameWithWildcardAccess().getGroup()); \r\n }\r\n // InternalBugsly.g:2003:3: ( rule__QualifiedNameWithWildcard__Group__0 )\r\n // InternalBugsly.g:2003:4: rule__QualifiedNameWithWildcard__Group__0\r\n {\r\n pushFollow(FOLLOW_2);\r\n rule__QualifiedNameWithWildcard__Group__0();\r\n\r\n state._fsp--;\r\n if (state.failed) return ;\r\n\r\n }\r\n\r\n if ( state.backtracking==0 ) {\r\n after(grammarAccess.getQualifiedNameWithWildcardAccess().getGroup()); \r\n }\r\n\r\n }\r\n\r\n\r\n }\r\n\r\n }\r\n catch (RecognitionException re) {\r\n reportError(re);\r\n recover(input,re);\r\n }\r\n finally {\r\n\r\n \trestoreStackSize(stackSize);\r\n\r\n }\r\n return ;\r\n }","title":""},{"docid":"59b17494379b7251ecab980ffd292725","score":"0.5310173","text":"DomainPackage createDomainPackage();","title":""},{"docid":"a6bb9092b750ca37595366c343ab8190","score":"0.5304866","text":"@Override\n\tpublic String getPACKAGE() {\n\t\treturn PACKAGE;\n\t}","title":""},{"docid":"0392433cbc983edcae3f70127d34fe0e","score":"0.5298427","text":"public void setPackage(java.lang.String value) {\n\t\t_Package = value;\n\t}","title":""},{"docid":"274154d7cf38319de22e50b4d0059708","score":"0.52770394","text":"public static String getPackageAliasName()\n {\n return _packageAlias;\n }","title":""},{"docid":"276da6ba72b24701a1e8356a540cd5ef","score":"0.527252","text":"AfplibPackage getAfplibPackage();","title":""},{"docid":"4e0b414fa67079d718e7ad8292c78dc9","score":"0.52621055","text":"ProjectPackage getProjectPackage();","title":""},{"docid":"7852bb64618b984ea37013072770caf4","score":"0.525374","text":"void reportPackage(String pkg);","title":""},{"docid":"472fabf8a716dd84b61e0269a9eadd90","score":"0.5247882","text":"@Override\n\tpublic void makePackage() {\n\n\t}","title":""},{"docid":"31fd2a34a9fe1df3ee02e521cf04e1a2","score":"0.5228928","text":"public final void rule__PackageDeclaration__Group__0__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3469:1: ( ( 'package' ) )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3470:1: ( 'package' )\n {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3470:1: ( 'package' )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3471:1: 'package'\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getPackageDeclarationAccess().getPackageKeyword_0()); \n }\n match(input,48,FOLLOW_48_in_rule__PackageDeclaration__Group__0__Impl7558); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getPackageDeclarationAccess().getPackageKeyword_0()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"ffc380b5e5abd6d3e74ee35ee9e3d6bf","score":"0.5227436","text":"public final void ruleQualifiedNameWithWildcard() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:2136:2: ( ( ( rule__QualifiedNameWithWildcard__Group__0 ) ) )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:2137:1: ( ( rule__QualifiedNameWithWildcard__Group__0 ) )\n {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:2137:1: ( ( rule__QualifiedNameWithWildcard__Group__0 ) )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:2138:1: ( rule__QualifiedNameWithWildcard__Group__0 )\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getQualifiedNameWithWildcardAccess().getGroup()); \n }\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:2139:1: ( rule__QualifiedNameWithWildcard__Group__0 )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:2139:2: rule__QualifiedNameWithWildcard__Group__0\n {\n pushFollow(FOLLOW_rule__QualifiedNameWithWildcard__Group__0_in_ruleQualifiedNameWithWildcard4498);\n rule__QualifiedNameWithWildcard__Group__0();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getQualifiedNameWithWildcardAccess().getGroup()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"e72cda7bec5ab15f164463228475a9e7","score":"0.5220974","text":"@Override\n\tJavaPackageRepresentation getJavaPackage();","title":""},{"docid":"549b2cbebf862718e0a15e12c995f448","score":"0.5197741","text":"interface packageinfo {\n}","title":""},{"docid":"549b2cbebf862718e0a15e12c995f448","score":"0.5197741","text":"interface packageinfo {\n}","title":""},{"docid":"549b2cbebf862718e0a15e12c995f448","score":"0.5197741","text":"interface packageinfo {\n}","title":""},{"docid":"549b2cbebf862718e0a15e12c995f448","score":"0.5197741","text":"interface packageinfo {\n}","title":""},{"docid":"8a3d392d34a6633016d40be99949f5b5","score":"0.51889384","text":"public boolean shouldShowInNamespaceToPackageViewer(String namespace);","title":""},{"docid":"2a37e9517c37c7cf5c04b4e17ba9b704","score":"0.5185554","text":"public final void rule__QualifiedNameWithWildcard__Group__2__Impl() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \t\r\n try {\r\n // InternalBugsly.g:15919:1: ( ( '*' ) )\r\n // InternalBugsly.g:15920:1: ( '*' )\r\n {\r\n // InternalBugsly.g:15920:1: ( '*' )\r\n // InternalBugsly.g:15921:2: '*'\r\n {\r\n if ( state.backtracking==0 ) {\r\n before(grammarAccess.getQualifiedNameWithWildcardAccess().getAsteriskKeyword_2()); \r\n }\r\n match(input,36,FOLLOW_2); if (state.failed) return ;\r\n if ( state.backtracking==0 ) {\r\n after(grammarAccess.getQualifiedNameWithWildcardAccess().getAsteriskKeyword_2()); \r\n }\r\n\r\n }\r\n\r\n\r\n }\r\n\r\n }\r\n catch (RecognitionException re) {\r\n reportError(re);\r\n recover(input,re);\r\n }\r\n finally {\r\n\r\n \trestoreStackSize(stackSize);\r\n\r\n }\r\n return ;\r\n }","title":""},{"docid":"dca994d48e24b4ccc2f9f08aff9e676f","score":"0.5175264","text":"public final void rule__QualifiedNameWithWildcard__Group__0__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15432:1: ( ( ruleQualifiedName ) )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15433:1: ( ruleQualifiedName )\n {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15433:1: ( ruleQualifiedName )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15434:1: ruleQualifiedName\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getQualifiedNameWithWildcardAccess().getQualifiedNameParserRuleCall_0()); \n }\n pushFollow(FOLLOW_ruleQualifiedName_in_rule__QualifiedNameWithWildcard__Group__0__Impl31069);\n ruleQualifiedName();\n\n state._fsp--;\n if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getQualifiedNameWithWildcardAccess().getQualifiedNameParserRuleCall_0()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"4e0235f5351c79bf7ce1e66fc2a91917","score":"0.5174328","text":"public final void rule__QualifiedNameWithWildcard__Group__2__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15491:1: ( ( '*' ) )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15492:1: ( '*' )\n {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15492:1: ( '*' )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15493:1: '*'\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getQualifiedNameWithWildcardAccess().getAsteriskKeyword_2()); \n }\n match(input,35,FOLLOW_35_in_rule__QualifiedNameWithWildcard__Group__2__Impl31188); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getQualifiedNameWithWildcardAccess().getAsteriskKeyword_2()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"20cf2931683078a328408163e13dbc3a","score":"0.5161218","text":"DataPackage getDataPackage();","title":""},{"docid":"bd1f38adb68a637505df9c2c639595fe","score":"0.5144635","text":"Problem removePackage(String name);","title":""},{"docid":"73cccd0a85075ef1b380d302e891ab24","score":"0.5126233","text":"public final void rule__QualifiedNameWithWildcard__Group__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15449:1: ( rule__QualifiedNameWithWildcard__Group__1__Impl rule__QualifiedNameWithWildcard__Group__2 )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15450:2: rule__QualifiedNameWithWildcard__Group__1__Impl rule__QualifiedNameWithWildcard__Group__2\n {\n pushFollow(FOLLOW_rule__QualifiedNameWithWildcard__Group__1__Impl_in_rule__QualifiedNameWithWildcard__Group__131098);\n rule__QualifiedNameWithWildcard__Group__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__QualifiedNameWithWildcard__Group__2_in_rule__QualifiedNameWithWildcard__Group__131101);\n rule__QualifiedNameWithWildcard__Group__2();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"abd5c9198fb2dc0950171fdf13a09c1b","score":"0.51204723","text":"protected void writePackageInfoFact(String packageName, String shortName, String ownerName) {\r\n if (\"<root_package>\".equals(packageName) || \"<unnamed_package>\".equals(packageName)) {\r\n packageName = null;\r\n }\r\n if (\"<root_package>\".equals(ownerName) || \"<unnamed_package>\".equals(ownerName)) {\r\n ownerName = null;\r\n }\r\n if (null != packageName) {\r\n out.println(new StringBuffer().append(REPLACE)\r\n .append(JPackage)\r\n .append(\"(id, name, shortName, parentPackage, salsaProjectId) VALUES(\")\r\n .append(md5(packageName))\r\n .append(COMMA)\r\n .append(quoted(packageName))\r\n .append(COMMA)\r\n .append(quoted(shortName))\r\n .append(COMMA)\r\n .append(md5(ownerName))\r\n .append(\", @project_id\")\r\n .append(\");\")\r\n .toString());\r\n if (null != ownerName) {\r\n out.println(new StringBuffer().append(REPLACE)\r\n .append(JPackage_PackagesTransitive)\r\n .append(\"(packages, parentPackage, salsaProjectId) VALUES(\")\r\n .append(md5(packageName))\r\n .append(COMMA)\r\n .append(md5(ownerName))\r\n .append(\", @project_id\")\r\n .append(\");\")\r\n .toString());\r\n// makeTransitiveClosure(md5(ownerName), md5(packageName), \"JPackage_Packages\", \"parentPackage\", \"packages\");\r\n }\r\n }\r\n }","title":""},{"docid":"89f2ab61f88b07ca1f268b1fcd1dc94c","score":"0.5120369","text":"ElemPackage getElemPackage();","title":""},{"docid":"aa5c6c70df6f9dd12578e8b9b6059a78","score":"0.51158786","text":"public interface KnowledgePackage {\r\n /**\r\n * The namespace for this package\r\n * @return\r\n */\r\n String getName();\r\n\r\n /**\r\n * Return the rule definitions for this package.\r\n * The collection is immutable.\r\n * \r\n * @return\r\n */ \r\n Collection<Rule> getRules();\r\n\r\n /**\r\n * Return the process definitions for this package.\r\n * The collection is immutable.\r\n * \r\n * @return\r\n */\r\n Collection<Process> getProcesses();\r\n\r\n}","title":""},{"docid":"d88b0f6d03671632cce1ff5ae95c3183","score":"0.511509","text":"public final void rule__Import__ImportedNamespaceAssignment_1() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \r\n try {\r\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:3328:1: ( ( ruleQualifiedNameWithWildCard ) )\r\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:3329:1: ( ruleQualifiedNameWithWildCard )\r\n {\r\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:3329:1: ( ruleQualifiedNameWithWildCard )\r\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:3330:1: ruleQualifiedNameWithWildCard\r\n {\r\n before(grammarAccess.getImportAccess().getImportedNamespaceQualifiedNameWithWildCardParserRuleCall_1_0()); \r\n pushFollow(FOLLOW_ruleQualifiedNameWithWildCard_in_rule__Import__ImportedNamespaceAssignment_16705);\r\n ruleQualifiedNameWithWildCard();\r\n\r\n state._fsp--;\r\n\r\n after(grammarAccess.getImportAccess().getImportedNamespaceQualifiedNameWithWildCardParserRuleCall_1_0()); \r\n\r\n }\r\n\r\n\r\n }\r\n\r\n }\r\n catch (RecognitionException re) {\r\n reportError(re);\r\n recover(input,re);\r\n }\r\n finally {\r\n\r\n \trestoreStackSize(stackSize);\r\n\r\n }\r\n return ;\r\n }","title":""},{"docid":"6cb01f28566df6b0de447e301f267b41","score":"0.5113041","text":"PsiPackage @NotNull [] getSubPackages();","title":""},{"docid":"e7cf63eaa65f2fb7e9e0913b1cb3084b","score":"0.5111065","text":"public static boolean isPackageAlias(String alias_)\n {\n return _packageAlias.equals(alias_);\n }","title":""},{"docid":"eae21072baca6feb9cf2460e1526af48","score":"0.5105269","text":"void setPackage(OdfPackage pkg) {\n mPackage = pkg;\n }","title":""},{"docid":"5849df6dd1e1141e837fea69f9396fe3","score":"0.51028776","text":"public PackageSpecification[] getPackages();","title":""},{"docid":"c96ece772ecfd6ae0d65eba3ec4a0f97","score":"0.509831","text":"public final void rule__QualifiedNameWithWildCard__Group_1__1__Impl() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \r\n try {\r\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:6705:1: ( ( '*' ) )\r\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:6706:1: ( '*' )\r\n {\r\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:6706:1: ( '*' )\r\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:6707:1: '*'\r\n {\r\n if ( state.backtracking==0 ) {\r\n before(grammarAccess.getQualifiedNameWithWildCardAccess().getAsteriskKeyword_1_1()); \r\n }\r\n match(input,25,FOLLOW_25_in_rule__QualifiedNameWithWildCard__Group_1__1__Impl13946); if (state.failed) return ;\r\n if ( state.backtracking==0 ) {\r\n after(grammarAccess.getQualifiedNameWithWildCardAccess().getAsteriskKeyword_1_1()); \r\n }\r\n\r\n }\r\n\r\n\r\n }\r\n\r\n }\r\n catch (RecognitionException re) {\r\n reportError(re);\r\n recover(input,re);\r\n }\r\n finally {\r\n\r\n \trestoreStackSize(stackSize);\r\n\r\n }\r\n return ;\r\n }","title":""},{"docid":"c6cf05a04e14c35d07b47a37026fe01b","score":"0.5094726","text":"ClassDecl name(String name);","title":""},{"docid":"37e8965b9ad78d1c73c5ee7234b04e0b","score":"0.5088243","text":"protected String getPackageName() {\r\n\t\tif (classname != null && classname.indexOf('.') != -1) {\r\n\t\t\tint separate = classname.lastIndexOf('.');\r\n\t\t\treturn classname.substring(0, separate);\r\n\t\t} else {\r\n\t\t\treturn null;\r\n\t\t}\t\t\r\n\t}","title":""},{"docid":"09b81952d8295e52b299ecd766d1dc16","score":"0.5084643","text":"private static String generateForPackage(String packageName, boolean isChildNode) {\n String javaDoc = JAVA_DOC_FIRST_LINE + PACKAGE_INFO_JAVADOC + packageName;\n if (isChildNode) {\n javaDoc = javaDoc + PACKAGE_INFO_JAVADOC_OF_CHILD;\n }\n return javaDoc + PERIOD + NEW_LINE + JAVA_DOC_END_LINE;\n }","title":""},{"docid":"c121f9cd11f6f8cfc43be89106fec567","score":"0.50766087","text":"public final void rule__Import__ImportedNamespaceAssignment_1() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \r\n try {\r\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:17687:1: ( ( ruleQualifiedNameWithWildCard ) )\r\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:17688:1: ( ruleQualifiedNameWithWildCard )\r\n {\r\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:17688:1: ( ruleQualifiedNameWithWildCard )\r\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:17689:1: ruleQualifiedNameWithWildCard\r\n {\r\n if ( state.backtracking==0 ) {\r\n before(grammarAccess.getImportAccess().getImportedNamespaceQualifiedNameWithWildCardParserRuleCall_1_0()); \r\n }\r\n pushFollow(FOLLOW_ruleQualifiedNameWithWildCard_in_rule__Import__ImportedNamespaceAssignment_135531);\r\n ruleQualifiedNameWithWildCard();\r\n\r\n state._fsp--;\r\n if (state.failed) return ;\r\n if ( state.backtracking==0 ) {\r\n after(grammarAccess.getImportAccess().getImportedNamespaceQualifiedNameWithWildCardParserRuleCall_1_0()); \r\n }\r\n\r\n }\r\n\r\n\r\n }\r\n\r\n }\r\n catch (RecognitionException re) {\r\n reportError(re);\r\n recover(input,re);\r\n }\r\n finally {\r\n\r\n \trestoreStackSize(stackSize);\r\n\r\n }\r\n return ;\r\n }","title":""},{"docid":"48f078b11d6334e3b2fd25819a3eb30a","score":"0.50710475","text":"public static void setPackageName(String packageName) {\n\t\tResource.packageName = packageName;\n\t}","title":""},{"docid":"92eca2b08d389d9c02618e3884d18a6b","score":"0.50701535","text":"public void report(IndentingPrintWriter out) {\r\n\t\t// write the package name\r\n\t\tout.println(\"Package: \" + getQualifiedName());\r\n\t\tout.println(\"-----------------------------------------\");\r\n\t\tout.indent();\r\n\r\n\t\t// list all references to this package (in import statements)\r\n\t\tlistReferences(out);\r\n\r\n\t\t// if we found any definitions in this package, report them\r\n\t\tif (hasElements())\r\n\t\t\treportElements(out);\r\n\t\telse\r\n\t\t\tout.println(\"(No definitions parsed)\");\r\n\t\tout.dedent();\r\n\t\tout.println();\r\n\t}","title":""},{"docid":"6fd9a7279a03bd777cf99221904a5838","score":"0.5069448","text":"String getNamespace();","title":""},{"docid":"6fd9a7279a03bd777cf99221904a5838","score":"0.5069448","text":"String getNamespace();","title":""},{"docid":"6fd9a7279a03bd777cf99221904a5838","score":"0.5069448","text":"String getNamespace();","title":""},{"docid":"bc7e2043cb1b80233a130dfe471e54aa","score":"0.50680435","text":"public final void rule__QualifiedNameWithWildcard__Group__0() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15420:1: ( rule__QualifiedNameWithWildcard__Group__0__Impl rule__QualifiedNameWithWildcard__Group__1 )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15421:2: rule__QualifiedNameWithWildcard__Group__0__Impl rule__QualifiedNameWithWildcard__Group__1\n {\n pushFollow(FOLLOW_rule__QualifiedNameWithWildcard__Group__0__Impl_in_rule__QualifiedNameWithWildcard__Group__031039);\n rule__QualifiedNameWithWildcard__Group__0__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__QualifiedNameWithWildcard__Group__1_in_rule__QualifiedNameWithWildcard__Group__031042);\n rule__QualifiedNameWithWildcard__Group__1();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"9d7e1f4fb3edf1290eb4f9b4479b6905","score":"0.5059555","text":"public final void rule__PackageDeclaration__Group__1__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3500:1: ( ( ( rule__PackageDeclaration__NameAssignment_1 ) ) )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3501:1: ( ( rule__PackageDeclaration__NameAssignment_1 ) )\n {\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3501:1: ( ( rule__PackageDeclaration__NameAssignment_1 ) )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3502:1: ( rule__PackageDeclaration__NameAssignment_1 )\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getPackageDeclarationAccess().getNameAssignment_1()); \n }\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3503:1: ( rule__PackageDeclaration__NameAssignment_1 )\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3503:2: rule__PackageDeclaration__NameAssignment_1\n {\n pushFollow(FOLLOW_rule__PackageDeclaration__NameAssignment_1_in_rule__PackageDeclaration__Group__1__Impl7619);\n rule__PackageDeclaration__NameAssignment_1();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getPackageDeclarationAccess().getNameAssignment_1()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"ba23bc4120856b85a403bec21b023f5d","score":"0.5054559","text":"public final void rule__XImportDeclaration__Alternatives_1_0_3() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \t\r\n try {\r\n // InternalBugsly.g:3237:1: ( ( ( rule__XImportDeclaration__WildcardAssignment_1_0_3_0 ) ) | ( ( rule__XImportDeclaration__MemberNameAssignment_1_0_3_1 ) ) )\r\n int alt44=2;\r\n int LA44_0 = input.LA(1);\r\n\r\n if ( (LA44_0==36) ) {\r\n alt44=1;\r\n }\r\n else if ( (LA44_0==RULE_ID) ) {\r\n alt44=2;\r\n }\r\n else {\r\n if (state.backtracking>0) {state.failed=true; return ;}\r\n NoViableAltException nvae =\r\n new NoViableAltException(\"\", 44, 0, input);\r\n\r\n throw nvae;\r\n }\r\n switch (alt44) {\r\n case 1 :\r\n // InternalBugsly.g:3238:2: ( ( rule__XImportDeclaration__WildcardAssignment_1_0_3_0 ) )\r\n {\r\n // InternalBugsly.g:3238:2: ( ( rule__XImportDeclaration__WildcardAssignment_1_0_3_0 ) )\r\n // InternalBugsly.g:3239:3: ( rule__XImportDeclaration__WildcardAssignment_1_0_3_0 )\r\n {\r\n if ( state.backtracking==0 ) {\r\n before(grammarAccess.getXImportDeclarationAccess().getWildcardAssignment_1_0_3_0()); \r\n }\r\n // InternalBugsly.g:3240:3: ( rule__XImportDeclaration__WildcardAssignment_1_0_3_0 )\r\n // InternalBugsly.g:3240:4: rule__XImportDeclaration__WildcardAssignment_1_0_3_0\r\n {\r\n pushFollow(FOLLOW_2);\r\n rule__XImportDeclaration__WildcardAssignment_1_0_3_0();\r\n\r\n state._fsp--;\r\n if (state.failed) return ;\r\n\r\n }\r\n\r\n if ( state.backtracking==0 ) {\r\n after(grammarAccess.getXImportDeclarationAccess().getWildcardAssignment_1_0_3_0()); \r\n }\r\n\r\n }\r\n\r\n\r\n }\r\n break;\r\n case 2 :\r\n // InternalBugsly.g:3244:2: ( ( rule__XImportDeclaration__MemberNameAssignment_1_0_3_1 ) )\r\n {\r\n // InternalBugsly.g:3244:2: ( ( rule__XImportDeclaration__MemberNameAssignment_1_0_3_1 ) )\r\n // InternalBugsly.g:3245:3: ( rule__XImportDeclaration__MemberNameAssignment_1_0_3_1 )\r\n {\r\n if ( state.backtracking==0 ) {\r\n before(grammarAccess.getXImportDeclarationAccess().getMemberNameAssignment_1_0_3_1()); \r\n }\r\n // InternalBugsly.g:3246:3: ( rule__XImportDeclaration__MemberNameAssignment_1_0_3_1 )\r\n // InternalBugsly.g:3246:4: rule__XImportDeclaration__MemberNameAssignment_1_0_3_1\r\n {\r\n pushFollow(FOLLOW_2);\r\n rule__XImportDeclaration__MemberNameAssignment_1_0_3_1();\r\n\r\n state._fsp--;\r\n if (state.failed) return ;\r\n\r\n }\r\n\r\n if ( state.backtracking==0 ) {\r\n after(grammarAccess.getXImportDeclarationAccess().getMemberNameAssignment_1_0_3_1()); \r\n }\r\n\r\n }\r\n\r\n\r\n }\r\n break;\r\n\r\n }\r\n }\r\n catch (RecognitionException re) {\r\n reportError(re);\r\n recover(input,re);\r\n }\r\n finally {\r\n\r\n \trestoreStackSize(stackSize);\r\n\r\n }\r\n return ;\r\n }","title":""}],"string":"[\n {\n \"docid\": \"dd08a7a9d274f1cf6edd28e59e22d59f\",\n \"score\": \"0.7137841\",\n \"text\": \"PackageDeclaration createPackageDeclaration();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"37320c8bfe87c2cbdb13a7d5b0fb7791\",\n \"score\": \"0.65713537\",\n \"text\": \"public void visitPackageDeclaration(GNode n){\\n\\t\\t\\t\\t\\tString hLine = \\\"\\\";\\n\\t\\t\\t\\t\\thflag = true;\\n\\t\\t\\t\\t\\tvisit(n);\\n\\t\\t\\t\\t\\twhile(hstring.peekFirst()!=null){\\n\\t\\t\\t\\t\\t\\tif(hstring.peekFirst()==\\\".\\\"){\\n\\t\\t\\t\\t\\t\\t\\thstring.pop();\\n\\t\\t\\t\\t\\t\\t\\tmarginSpaceH = marginSpaceH + \\\" \\\";\\n\\t\\t\\t\\t\\t\\t\\thLine = marginSpaceH;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\thLine = hLine + \\\"namespace \\\";\\n\\t\\t\\t\\t\\t\\thLine = hLine + hstring.pop() + \\\"{\\\";\\n\\t\\t\\t\\t\\t\\tnameSpaceH.add(hLine);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\thflag = false;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tString ccLine = \\\"\\\";\\n\\t\\t\\t\\t\\tvisit(n);\\n\\t\\t\\t\\t\\twhile(ccstring.peekFirst()!=null){\\n\\t\\t\\t\\t\\t\\tif(ccstring.peekFirst()==\\\".\\\"){\\n\\t\\t\\t\\t\\t\\t\\tccstring.pop();\\n\\t\\t\\t\\t\\t\\t\\tmarginSpaceCC = marginSpaceCC + \\\" \\\";\\n\\t\\t\\t\\t\\t\\t\\tccLine = marginSpaceCC;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\tccLine = ccLine + \\\"namespace \\\";\\n\\t\\t\\t\\t\\t\\tccLine = ccLine + ccstring.pop() + \\\"{\\\";\\n\\t\\t\\t\\t\\t\\tnameSpaceCC.add(ccLine);\\n\\t\\t\\t\\t\\t}\\t\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d15b9180ed0a358431c8d8af6d980120\",\n \"score\": \"0.6232927\",\n \"text\": \"public final JavaParser.packageDeclaration_return packageDeclaration() throws RecognitionException {\\n JavaParser.packageDeclaration_return retval = new JavaParser.packageDeclaration_return();\\n retval.start = input.LT(1);\\n\\n int packageDeclaration_StartIndex = input.index();\\n\\n CommonTree root_0 = null;\\n\\n Token PACKAGE8=null;\\n Token SEMI10=null;\\n JavaParser.qualifiedIdentifier_return qualifiedIdentifier9 =null;\\n\\n\\n CommonTree PACKAGE8_tree=null;\\n CommonTree SEMI10_tree=null;\\n\\n try {\\n if ( state.backtracking>0 && alreadyParsedRule(input, 4) ) { return retval; }\\n\\n // Java.g:561:5: ( PACKAGE ^ qualifiedIdentifier SEMI !)\\n // Java.g:561:9: PACKAGE ^ qualifiedIdentifier SEMI !\\n {\\n root_0 = (CommonTree)adaptor.nil();\\n\\n\\n PACKAGE8=(Token)match(input,PACKAGE,FOLLOW_PACKAGE_in_packageDeclaration4629); if (state.failed) return retval;\\n if ( state.backtracking==0 ) {\\n PACKAGE8_tree = \\n (CommonTree)adaptor.create(PACKAGE8)\\n ;\\n root_0 = (CommonTree)adaptor.becomeRoot(PACKAGE8_tree, root_0);\\n }\\n\\n pushFollow(FOLLOW_qualifiedIdentifier_in_packageDeclaration4632);\\n qualifiedIdentifier9=qualifiedIdentifier();\\n\\n state._fsp--;\\n if (state.failed) return retval;\\n if ( state.backtracking==0 ) adaptor.addChild(root_0, qualifiedIdentifier9.getTree());\\n\\n SEMI10=(Token)match(input,SEMI,FOLLOW_SEMI_in_packageDeclaration4634); if (state.failed) return retval;\\n\\n }\\n\\n retval.stop = input.LT(-1);\\n\\n\\n if ( state.backtracking==0 ) {\\n\\n retval.tree = (CommonTree)adaptor.rulePostProcessing(root_0);\\n adaptor.setTokenBoundaries(retval.tree, retval.start, retval.stop);\\n }\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n \\tretval.tree = (CommonTree)adaptor.errorNode(input, retval.start, input.LT(-1), re);\\n\\n }\\n\\n finally {\\n \\t// do for sure before leaving\\n if ( state.backtracking>0 ) { memoize(input, 4, packageDeclaration_StartIndex); }\\n\\n }\\n return retval;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c64d0d400cc66fa75e31b7ca131d58df\",\n \"score\": \"0.61978966\",\n \"text\": \"private PackageDeclare parse_pkg_declare() throws SyntaxException {\\n LineCol lineCol = current.getLineCol();\\n\\n nextNode(false);\\n if (current instanceof ElementStartNode) {\\n Node pkgNode = ((ElementStartNode) current).getLinkedNode();\\n if (pkgNode instanceof Element) {\\n StringBuilder sb = new StringBuilder();\\n boolean isName = true;\\n\\n while (pkgNode != null && (pkgNode instanceof Element) && (((Element) pkgNode).getContent().equals(\\\"::\\\")\\n ||\\n ((Element) pkgNode).isValidName)) {\\n Element elem = (Element) pkgNode;\\n String s = elem.getContent();\\n if (!isName && !s.equals(\\\"::\\\")) {\\n throw new UnexpectedTokenException(\\\"::\\\", s, elem.getLineCol());\\n }\\n isName = !isName;\\n sb.append(s);\\n pkgNode = pkgNode.next();\\n }\\n\\n AST.PackageRef pkg = new AST.PackageRef(sb.toString(), lineCol);\\n return new PackageDeclare(pkg, lineCol);\\n } else {\\n throw new UnexpectedTokenException(\\\"package\\\", pkgNode.toString(), pkgNode.getLineCol());\\n }\\n } else {\\n throw new UnexpectedTokenException(current.toString(), current.getLineCol());\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23ee36da5bf7d0f41120e65969c36520\",\n \"score\": \"0.6090211\",\n \"text\": \"public JPackage getPackage(String targetNamespace) {\\n/* 452 */ XSSchema s = ((XSSchemaSet)Ring.get(XSSchemaSet.class)).getSchema(targetNamespace);\\n/* */ \\n/* 454 */ BISchemaBinding sb = (BISchemaBinding)this.builder.getBindInfo((XSComponent)s).get(BISchemaBinding.class);\\n/* */ \\n/* 456 */ if (sb != null) sb.markAsAcknowledged();\\n/* */ \\n/* 458 */ String name = null;\\n/* */ \\n/* */ \\n/* 461 */ if (this.builder.defaultPackage1 != null) {\\n/* 462 */ name = this.builder.defaultPackage1;\\n/* */ }\\n/* */ \\n/* 465 */ if (name == null && sb != null && sb.getPackageName() != null) {\\n/* 466 */ name = sb.getPackageName();\\n/* */ }\\n/* */ \\n/* 469 */ if (name == null && this.builder.defaultPackage2 != null) {\\n/* 470 */ name = this.builder.defaultPackage2;\\n/* */ }\\n/* */ \\n/* 473 */ if (name == null) {\\n/* 474 */ name = this.builder.getNameConverter().toPackageName(targetNamespace);\\n/* */ }\\n/* */ \\n/* */ \\n/* 478 */ if (name == null) {\\n/* 479 */ name = \\\"generated\\\";\\n/* */ }\\n/* */ \\n/* */ \\n/* 483 */ if (checkedPackageNames.add(name))\\n/* */ {\\n/* 485 */ if (!JJavaName.isJavaPackageName(name))\\n/* */ {\\n/* */ \\n/* */ \\n/* 489 */ getErrorReporter().error(s.getLocator(), \\\"ClassSelector.IncorrectPackageName\\\", new Object[] { targetNamespace, name });\\n/* */ }\\n/* */ }\\n/* */ \\n/* 493 */ return ((JCodeModel)Ring.get(JCodeModel.class))._package(name);\\n/* */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"726e8b6f74f515c486e1fdbfe6e58408\",\n \"score\": \"0.60707766\",\n \"text\": \"public interface RuntimePackage extends RuntimeElement, BarePackage, Immutable {\\n @Override\\n ImmutableList<? extends RuntimePluginDeclaration> getDeclarations();\\n\\n /**\\n * Returns the name of the bundle that provides this pacakge.\\n *\\n * @return name of bundle that provides this package, guaranteed to be non-null\\n * @see RuntimeBundle#getBundleIdentifier()\\n */\\n URI getBundleIdentifier();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1eabb7744f624774d0967c107b24bc8a\",\n \"score\": \"0.60649437\",\n \"text\": \"public interface PsiPackage extends PsiCheckedRenameElement, NavigationItem, PsiJvmModifiersOwner,\\n PsiDirectoryContainer, PsiQualifiedNamedElement, JvmPackage {\\n\\n String PACKAGE_INFO_CLASS = \\\"package-info\\\";\\n String PACKAGE_INFO_FILE = PACKAGE_INFO_CLASS + \\\".java\\\";\\n String PACKAGE_INFO_CLS_FILE = PACKAGE_INFO_CLASS + \\\".class\\\";\\n\\n PsiPackage[] EMPTY_ARRAY = new PsiPackage[0];\\n\\n /**\\n * Returns the full-qualified name of the package.\\n *\\n * @return the full-qualified name, or an empty string for the default package.\\n */\\n @Override\\n @NotNull\\n @NlsSafe\\n String getQualifiedName();\\n\\n /**\\n * Returns the parent of the package.\\n *\\n * @return the parent package, or null for the default package.\\n */\\n @Override\\n @Nullable\\n PsiPackage getParentPackage();\\n\\n /**\\n * Returns the list of subpackages of this package under all source roots of the project.\\n *\\n * @return the array of subpackages.\\n */\\n PsiPackage @NotNull [] getSubPackages();\\n\\n /**\\n * Returns the list of subpackages of this package in the specified search scope.\\n *\\n * @param scope the scope in which packages are searched.\\n * @return the array of subpackages.\\n */\\n PsiPackage @NotNull [] getSubPackages(@NotNull GlobalSearchScope scope);\\n\\n /**\\n * Returns the list of classes in all directories corresponding to the package.\\n *\\n * @return the array of classes.\\n */\\n PsiClass @NotNull [] getClasses();\\n\\n /**\\n * Returns the list of classes in directories corresponding to the package in the specified\\n * search scope.\\n *\\n * @param scope the scope in which directories are searched.\\n * @return the array of classes.\\n */\\n PsiClass @NotNull [] getClasses(@NotNull GlobalSearchScope scope);\\n\\n /**\\n * Returns the list of all files in the package, restricted by the specified scope. (This is\\n * normally the list of all files in all directories corresponding to the package, but it can\\n * be modified by custom language plugins which have a different notion of packages.)\\n */\\n PsiFile @NotNull [] getFiles(@NotNull GlobalSearchScope scope);\\n\\n /**\\n * Returns the list of package-level annotations for the package.\\n *\\n * @return the list of annotations, or null if the package does not have any package-level annotations.\\n */\\n @Nullable\\n PsiModifierList getAnnotationList();\\n\\n /**\\n * This method must be invoked on the package after all directories corresponding\\n * to it have been renamed/moved accordingly to qualified name change.\\n *\\n * @param newQualifiedName the new qualified name of the package.\\n */\\n void handleQualifiedNameChange(@NotNull String newQualifiedName);\\n\\n /**\\n * Returns source roots that this package occurs in package prefixes of.\\n *\\n * @return the array of virtual files for the source roots.\\n */\\n VirtualFile @NotNull [] occursInPackagePrefixes();\\n\\n @Override\\n @Nullable(\\\"default package\\\") @NlsSafe\\n String getName();\\n\\n boolean containsClassNamed(@NotNull String name);\\n\\n PsiClass @NotNull [] findClassByShortName(@NotNull String name, @NotNull GlobalSearchScope scope);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cc48644c8ccfe05282aba25ed87e0302\",\n \"score\": \"0.6005535\",\n \"text\": \"protected void transformPackageDeclaration() {\\n PackageDeclaration packageDeclaration = new PackageDeclaration(sourceClass.getPackageName());\\n projectStructure.addPackageDeclaration(sourceClass.getClassName(), packageDeclaration);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4782ba38c9f8b09421cc70d6ed685e2f\",\n \"score\": \"0.59951985\",\n \"text\": \"@Override\\r\\n\\tpublic void visit(PackageDeclaration n, HashMap<String, String> arg) {\\n\\t\\tpackageValue = n.getName().toString();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ad9e8f4ddb53445e4d18298c27af134\",\n \"score\": \"0.5935163\",\n \"text\": \"public MyPackage getPackage() {\\n return declaringPackage;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8fa5699885498022030bc15b85a3d0ff\",\n \"score\": \"0.5915272\",\n \"text\": \"private SpecificPackage() {}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b4448cdf7a424d0f0d6dbff6ba57827\",\n \"score\": \"0.59145033\",\n \"text\": \"static boolean hasPackageDeclaration(String code)\\n {\\n return PACKAGE_DECLARATION_PATTERN.matcher(code).find();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d60db4dd9b802540dc39019ed83df32\",\n \"score\": \"0.58818305\",\n \"text\": \"public PackageSpecification getPackage(String name);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b2d4b7ba9c2febd7659c74417f2d0a97\",\n \"score\": \"0.5870583\",\n \"text\": \"public void setPackage(MyPackage pkg) {\\n declaringPackage = pkg;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"09f5411180ce81242490f39b94025d72\",\n \"score\": \"0.58666945\",\n \"text\": \"Package createPackage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"edcce0e05f88c7b84e29ab976b6fd898\",\n \"score\": \"0.5799075\",\n \"text\": \"private String parsePackageName(Element annotatedClass) {\\n Element enclosing = annotatedClass;\\n while (enclosing.getKind() != ElementKind.PACKAGE) {\\n enclosing = enclosing.getEnclosingElement();\\n }\\n return enclosing.toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bca9511b10ad93c4065ca0e8cac057d1\",\n \"score\": \"0.5750869\",\n \"text\": \"private String getPackageName(String qualifiedName) {\\n int lastPeriodPos = qualifiedName.lastIndexOf('.');\\n return (lastPeriodPos == -1) ? \\\"\\\" : qualifiedName.substring(0,\\n lastPeriodPos);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0234b6d5fc49d5173bdc008ff0dcad6f\",\n \"score\": \"0.57500213\",\n \"text\": \"Problem putPackage(String name, Package pkg);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6f69c08e31ad4d07b8410e7c841526a6\",\n \"score\": \"0.57235456\",\n \"text\": \"public abstract String packageName();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2126f1b494045cb4365c09fded81c4a7\",\n \"score\": \"0.57166696\",\n \"text\": \"protected abstract String getPackage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"822e40118d3b609590cdfdd0b3ad38c2\",\n \"score\": \"0.5706555\",\n \"text\": \"private String getPackageQualifier() {\\n String packageName = getPackageName();\\n if ((packageName != null) && (! packageName.equals(\\\"\\\"))) { packageName = packageName + \\\".\\\"; }\\n return packageName;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b1f29291fbe394a223bce2aac8cedf6\",\n \"score\": \"0.56687814\",\n \"text\": \"public T casePackageDeclaration(PackageDeclaration object)\\n {\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b8a25b3845dd4016efd40d755e2bdb41\",\n \"score\": \"0.5657234\",\n \"text\": \"MetaPackage getMetaPackage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fde0c27dfe8e88d645239acc598fb363\",\n \"score\": \"0.5616389\",\n \"text\": \"public boolean isJavaPackage(String name);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"47c990029b1c147606f2dc0449a8951a\",\n \"score\": \"0.56151783\",\n \"text\": \"public final void rule__PackageDeclaration__NameAssignment_1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15801:1: ( ( ruleQualifiedName ) )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15802:1: ( ruleQualifiedName )\\n {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15802:1: ( ruleQualifiedName )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15803:1: ruleQualifiedName\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getPackageDeclarationAccess().getNameQualifiedNameParserRuleCall_1_0()); \\n }\\n pushFollow(FOLLOW_ruleQualifiedName_in_rule__PackageDeclaration__NameAssignment_131794);\\n ruleQualifiedName();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getPackageDeclarationAccess().getNameQualifiedNameParserRuleCall_1_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"322c3c5c23e9776a8c989b37ea63e2cc\",\n \"score\": \"0.55932605\",\n \"text\": \"public ValaPackage(String name) {\\n\\t\\tsuper();\\n\\t\\tthis.name = name;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0d187e59211653e604bb8fb5b80ed02c\",\n \"score\": \"0.55781275\",\n \"text\": \"public abstract PackageIdentifier getContainingPackageName();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b1cf3adbb3ff01f4c46f238c5b9d4737\",\n \"score\": \"0.5571076\",\n \"text\": \"public String getPackageName(String fullyQualifiedName) {\\n\\t\\tString packageName = null;\\n\\t\\tif (StringUtils.isNotBlank(fullyQualifiedName)) {\\n\\t\\t\\tint lastDot = fullyQualifiedName.lastIndexOf('.');\\n\\t\\t\\tpackageName = (lastDot >= 0 ? fullyQualifiedName.substring(0,\\n\\t\\t\\t\\t\\tlastDot) : \\\"\\\");\\n\\t\\t} else {\\n\\t\\t\\tpackageName = \\\"\\\";\\n\\t\\t}\\n\\n\\t\\treturn packageName;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7fdd0eb59944f1da9e19aa743718b881\",\n \"score\": \"0.556045\",\n \"text\": \"private static String getPackagePortion(String name)\\n {\\n \\tint lastInd = name.lastIndexOf('.');\\n \\tif (lastInd == -1)\\n \\t\\treturn \\\"\\\";\\n \\treturn name.substring(0, lastInd);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"37af552e2d0e39b71633d471882af98e\",\n \"score\": \"0.5554285\",\n \"text\": \"public void extractPackage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ae3a3558034ecd0bd8221dc6b9493088\",\n \"score\": \"0.5553764\",\n \"text\": \"public final void rule__DImport__ImportedNamespaceAssignment_1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\t\\n try {\\n // InternalDom.g:10384:1: ( ( ruleDQualifiedNameWithWildcard ) )\\n // InternalDom.g:10385:2: ( ruleDQualifiedNameWithWildcard )\\n {\\n // InternalDom.g:10385:2: ( ruleDQualifiedNameWithWildcard )\\n // InternalDom.g:10386:3: ruleDQualifiedNameWithWildcard\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getDImportAccess().getImportedNamespaceDQualifiedNameWithWildcardParserRuleCall_1_0()); \\n }\\n pushFollow(FOLLOW_2);\\n ruleDQualifiedNameWithWildcard();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getDImportAccess().getImportedNamespaceDQualifiedNameWithWildcardParserRuleCall_1_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b65df41232e362348d36ca0b810aa8c\",\n \"score\": \"0.5549386\",\n \"text\": \"public final void mPACKAGE() throws RecognitionException {\\n try {\\n int _type = PACKAGE;\\n // JS.g:169:9: ( 'package' )\\n // JS.g:169:11: 'package'\\n {\\n match(\\\"package\\\"); \\n\\n\\n }\\n\\n this.type = _type;\\n }\\n finally {\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"641af8e99e21fce9cb072c144a0d362c\",\n \"score\": \"0.55227983\",\n \"text\": \"@Override\\r\\n\\tpublic String getNameSpace(String statement) {\\n\\t\\treturn NAMESPACE + statement;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"51c35c1c512288516363a54c2406837d\",\n \"score\": \"0.5516839\",\n \"text\": \"public PackageStatement getPackageStatement() {\\n return pkg;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd6b2bec91978b013fc4cfd7db843ed2\",\n \"score\": \"0.550144\",\n \"text\": \"public final void rule__XImportDeclaration__ImportedNamespaceAssignment_1_2() throws RecognitionException {\\r\\n\\r\\n \\t\\tint stackSize = keepStackSize();\\r\\n \\t\\r\\n try {\\r\\n // InternalBugsly.g:18602:1: ( ( ruleQualifiedNameWithWildcard ) )\\r\\n // InternalBugsly.g:18603:2: ( ruleQualifiedNameWithWildcard )\\r\\n {\\r\\n // InternalBugsly.g:18603:2: ( ruleQualifiedNameWithWildcard )\\r\\n // InternalBugsly.g:18604:3: ruleQualifiedNameWithWildcard\\r\\n {\\r\\n if ( state.backtracking==0 ) {\\r\\n before(grammarAccess.getXImportDeclarationAccess().getImportedNamespaceQualifiedNameWithWildcardParserRuleCall_1_2_0()); \\r\\n }\\r\\n pushFollow(FOLLOW_2);\\r\\n ruleQualifiedNameWithWildcard();\\r\\n\\r\\n state._fsp--;\\r\\n if (state.failed) return ;\\r\\n if ( state.backtracking==0 ) {\\r\\n after(grammarAccess.getXImportDeclarationAccess().getImportedNamespaceQualifiedNameWithWildcardParserRuleCall_1_2_0()); \\r\\n }\\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n catch (RecognitionException re) {\\r\\n reportError(re);\\r\\n recover(input,re);\\r\\n }\\r\\n finally {\\r\\n\\r\\n \\trestoreStackSize(stackSize);\\r\\n\\r\\n }\\r\\n return ;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a31d4df2e5570b206a7bdcfec254cf64\",\n \"score\": \"0.54899687\",\n \"text\": \"public final void rule__XImportDeclaration__ImportedNamespaceAssignment_1_2() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:17982:1: ( ( ruleQualifiedNameWithWildcard ) )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:17983:1: ( ruleQualifiedNameWithWildcard )\\n {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:17983:1: ( ruleQualifiedNameWithWildcard )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:17984:1: ruleQualifiedNameWithWildcard\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXImportDeclarationAccess().getImportedNamespaceQualifiedNameWithWildcardParserRuleCall_1_2_0()); \\n }\\n pushFollow(FOLLOW_ruleQualifiedNameWithWildcard_in_rule__XImportDeclaration__ImportedNamespaceAssignment_1_236251);\\n ruleQualifiedNameWithWildcard();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXImportDeclarationAccess().getImportedNamespaceQualifiedNameWithWildcardParserRuleCall_1_2_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8c71982a4dbcab7fa3eeaaeeb8a92007\",\n \"score\": \"0.5462047\",\n \"text\": \"PackageDeclarationNestedNamespaceCS getNestedNamespace();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"490d9b8011cb7e68d52ca42ee1001ac1\",\n \"score\": \"0.54585755\",\n \"text\": \"org.jetbrains.kotlin.metadata.ProtoBuf.Package getPackage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"01819f3bb71dbea65075c27a130cff68\",\n \"score\": \"0.545687\",\n \"text\": \"public String getPackage(String extention)\\n\\t{\\n\\t\\t\\n\\t\\treturn packageString(\\\"com.dataAccess\\\", extention);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd29ab2ab34eaa80f9c13f121a400de6\",\n \"score\": \"0.5416746\",\n \"text\": \"void setPackageName(String packageName) {\\r\\n this.packageName = packageName;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"84dc0f967d2d844f7063fb278551efe2\",\n \"score\": \"0.541512\",\n \"text\": \"public final void rule__DQualifiedNameWithWildcard__Group__1__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\t\\n try {\\n // InternalDom.g:10020:1: ( ( ( '.*' )? ) )\\n // InternalDom.g:10021:1: ( ( '.*' )? )\\n {\\n // InternalDom.g:10021:1: ( ( '.*' )? )\\n // InternalDom.g:10022:2: ( '.*' )?\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getDQualifiedNameWithWildcardAccess().getFullStopAsteriskKeyword_1()); \\n }\\n // InternalDom.g:10023:2: ( '.*' )?\\n int alt81=2;\\n int LA81_0 = input.LA(1);\\n\\n if ( (LA81_0==105) ) {\\n alt81=1;\\n }\\n switch (alt81) {\\n case 1 :\\n // InternalDom.g:10023:3: '.*'\\n {\\n match(input,105,FOLLOW_2); if (state.failed) return ;\\n\\n }\\n break;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getDQualifiedNameWithWildcardAccess().getFullStopAsteriskKeyword_1()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bcf51945825720e85ec7dcb32dc97592\",\n \"score\": \"0.5413718\",\n \"text\": \"public final void rule__QualifiedNameWithWildCard__Group__1__Impl() throws RecognitionException {\\r\\n\\r\\n \\t\\tint stackSize = keepStackSize();\\r\\n \\r\\n try {\\r\\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:2876:1: ( ( ( '.*' )? ) )\\r\\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:2877:1: ( ( '.*' )? )\\r\\n {\\r\\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:2877:1: ( ( '.*' )? )\\r\\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:2878:1: ( '.*' )?\\r\\n {\\r\\n before(grammarAccess.getQualifiedNameWithWildCardAccess().getFullStopAsteriskKeyword_1()); \\r\\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:2879:1: ( '.*' )?\\r\\n int alt14=2;\\r\\n int LA14_0 = input.LA(1);\\r\\n\\r\\n if ( (LA14_0==30) ) {\\r\\n alt14=1;\\r\\n }\\r\\n switch (alt14) {\\r\\n case 1 :\\r\\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:2880:2: '.*'\\r\\n {\\r\\n match(input,30,FOLLOW_30_in_rule__QualifiedNameWithWildCard__Group__1__Impl5779); \\r\\n\\r\\n }\\r\\n break;\\r\\n\\r\\n }\\r\\n\\r\\n after(grammarAccess.getQualifiedNameWithWildCardAccess().getFullStopAsteriskKeyword_1()); \\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n catch (RecognitionException re) {\\r\\n reportError(re);\\r\\n recover(input,re);\\r\\n }\\r\\n finally {\\r\\n\\r\\n \\trestoreStackSize(stackSize);\\r\\n\\r\\n }\\r\\n return ;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad95ba28f0aadca59bb5bb2f056596ff\",\n \"score\": \"0.54072094\",\n \"text\": \"public void setPackageName(String packageName) {\\r\\n this.packageName = packageName;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"139b6e0e7db9253cb1195e885cb19818\",\n \"score\": \"0.5405769\",\n \"text\": \"@Pure\\n\\tString getDocumentationPackage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b154d73de5438859f16785597435c33c\",\n \"score\": \"0.5404397\",\n \"text\": \"public String getPackageName() {\\n // assert EventQueue.isDispatchThread();\\n Reader r;\\n r = new StringReader(getText()); // getText() is cheap if document is not resident\\n try { return new Parser(r).packageDeclaration(Parser.DeclType.TOP).getName(); }\\n catch (ParseException e) { return \\\"\\\"; }\\n // addresses bug [ 1815387 ] Editor should discard parse errors for now\\n // we should upgrade our parser to handle @\\n catch (TokenMgrError e) { return \\\"\\\"; }\\n catch (Error e) {\\n // JavaCharStream does not use a useful exception type for escape character errors\\n String msg = e.getMessage();\\n if (msg != null && msg.startsWith(\\\"Invalid escape character\\\")) {\\n return \\\"\\\";\\n }\\n else { throw e; }\\n }\\n finally {\\n try { r.close(); }\\n catch (IOException e) { /* ignore */ }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fbef9cd305d5287adadb0357c6e8097f\",\n \"score\": \"0.5401863\",\n \"text\": \"public abstract String getPackageName();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d593a30c2f875f3f50351eabd927bc9c\",\n \"score\": \"0.54004365\",\n \"text\": \"@Override\\n public String getPackageName()\\n {\\n return classDefinition.getPackageName();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"96c5a7cc52e9752d68800a30de506589\",\n \"score\": \"0.538963\",\n \"text\": \"abstract String pkg();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0912421c386a20a6428a4fe2f9da0fcb\",\n \"score\": \"0.5389027\",\n \"text\": \"public String getNameInNamespace() {\\n/* 327 */ return \\\"\\\";\\n/* */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"624a9a2ec417f0db29bab2fe27cc799b\",\n \"score\": \"0.5377671\",\n \"text\": \"String getTargetPackage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5c71ec280923bd402e79bf423d3b6b83\",\n \"score\": \"0.5366006\",\n \"text\": \"public void testWildcards() {\\n assertTrue(new ClassPermission(\\\"*\\\").implies(new ClassPermission(\\\"pkg.MyClass\\\")));\\n assertTrue(new ClassPermission(\\\"pkg.*\\\").implies(new ClassPermission(\\\"pkg.MyClass\\\")));\\n assertTrue(new ClassPermission(\\\"pkg.*\\\").implies(new ClassPermission(\\\"pkg.sub.MyClass\\\")));\\n assertFalse(new ClassPermission(\\\"pkg.My*\\\").implies(new ClassPermission(\\\"pkg.MyClass\\\")));\\n assertFalse(new ClassPermission(\\\"pkg*\\\").implies(new ClassPermission(\\\"pkg.MyClass\\\")));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8c2877522401e79fb049b75494c95e10\",\n \"score\": \"0.53640777\",\n \"text\": \"@Test\\n public void testPackageHeader() {\\n checkDecls(getParser().parsePackageHeader(\\\"com.foo\\\", \\\"Export-Package\\\"), \\\"names=[com.foo]\\\");\\n checkDecls(getParser().parsePackageHeader(\\\"com.foo.goo.boo,com.bib.bob.bub\\\", \\\"Export-Package\\\"), \\\"names=[com.foo.goo.boo]\\\",\\n \\\"names=[com.bib.bob.bub]\\\");\\n checkDecls(getParser().parsePackageHeader(\\\"com.a;com.b\\\", \\\"Export-Package\\\"), \\\"names=[com.a com.b]\\\");\\n checkDecls(getParser().parsePackageHeader(\\\"com.a;com.bbbb,com.dd;com.eee\\\", \\\"Export-Package\\\"), \\\"names=[com.a com.bbbb]\\\",\\n \\\"names=[com.dd com.eee]\\\");\\n checkDecls(getParser().parsePackageHeader(\\\"com.springsource.server.osgi;version=1.2.3\\\", \\\"Export-Package\\\"),\\n \\\"names=[com.springsource.server.osgi] attrs=[version=1.2.3]\\\");\\n checkDecls(getParser().parsePackageHeader(\\\"com.springsource.server.osgi;uses:=org.springframework.core\\\", \\\"Export-Package\\\"),\\n \\\"names=[com.springsource.server.osgi] directives=[uses:=org.springframework.core]\\\");\\n checkDecls(getParser().parsePackageHeader(\\\"com.springsource.server.osgi;version=1.2.3;uses:=org.springframework.core\\\", \\\"Export-Package\\\"),\\n \\\"names=[com.springsource.server.osgi] attrs=[version=1.2.3] directives=[uses:=org.springframework.core]\\\");\\n checkDecls(getParser().parsePackageHeader(\\n \\\"com.springsource.server.osgi;com.springsource.server.kernel;version=1.2.3;uses:=org.springframework.core\\\", \\\"Export-Package\\\"),\\n \\\"names=[com.springsource.server.osgi com.springsource.server.kernel] attrs=[version=1.2.3] directives=[uses:=org.springframework.core]\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"806bbccdeaafe0b24cbb32cfb8c099e6\",\n \"score\": \"0.53437245\",\n \"text\": \"public interface PackageNameProvider {\\n /**\\n * Returns a set of package names.\\n *\\n * @return the package names. An empty set is returned if no package names are to be provided.\\n * @throws IOException if failed to get package names.\\n */\\n Set<String> get() throws IOException;\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"65e97756cbbbd29b50aafb471726328c\",\n \"score\": \"0.5342683\",\n \"text\": \"private Vertex handlePackage() throws XMLStreamException {\\n \\n \\t\\tPackage pkg = sg.createPackage();\\n \\t\\tpkg\\n \\t\\t\\t\\t.set_qualifiedName(getQualifiedName(getAttribute(UML_ATTRIBUTE_NAME)));\\n \\t\\tsg.createContainsSubPackage(packageStack.peek(), pkg);\\n \\t\\tpackageStack.push(pkg);\\n \\t\\treturn pkg;\\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"76679fcea46fdb009db0e2e621fefef8\",\n \"score\": \"0.53418255\",\n \"text\": \"public Void visitPackage(PackageElement e, Void p) {\\n PRINT.INFO(e.getQualifiedName());\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"58b88d2225b1f1e748cbcc33f363282b\",\n \"score\": \"0.53355765\",\n \"text\": \"PackageDef(String name, // the name of the package\\n\\t\\t\\t Occurrence occ, // where it was defined (NULL)\\n\\t\\t\\t ScopedDef parentScope) { // which scope owns it\\n\\t\\tsuper(name, occ, parentScope);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e6c852e45215b317225e6204cb8ebdf0\",\n \"score\": \"0.5331692\",\n \"text\": \"public final void ruleQualifiedNameWithWildcard() throws RecognitionException {\\r\\n\\r\\n \\t\\tint stackSize = keepStackSize();\\r\\n \\t\\r\\n try {\\r\\n // InternalBugsly.g:2000:2: ( ( ( rule__QualifiedNameWithWildcard__Group__0 ) ) )\\r\\n // InternalBugsly.g:2001:2: ( ( rule__QualifiedNameWithWildcard__Group__0 ) )\\r\\n {\\r\\n // InternalBugsly.g:2001:2: ( ( rule__QualifiedNameWithWildcard__Group__0 ) )\\r\\n // InternalBugsly.g:2002:3: ( rule__QualifiedNameWithWildcard__Group__0 )\\r\\n {\\r\\n if ( state.backtracking==0 ) {\\r\\n before(grammarAccess.getQualifiedNameWithWildcardAccess().getGroup()); \\r\\n }\\r\\n // InternalBugsly.g:2003:3: ( rule__QualifiedNameWithWildcard__Group__0 )\\r\\n // InternalBugsly.g:2003:4: rule__QualifiedNameWithWildcard__Group__0\\r\\n {\\r\\n pushFollow(FOLLOW_2);\\r\\n rule__QualifiedNameWithWildcard__Group__0();\\r\\n\\r\\n state._fsp--;\\r\\n if (state.failed) return ;\\r\\n\\r\\n }\\r\\n\\r\\n if ( state.backtracking==0 ) {\\r\\n after(grammarAccess.getQualifiedNameWithWildcardAccess().getGroup()); \\r\\n }\\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n catch (RecognitionException re) {\\r\\n reportError(re);\\r\\n recover(input,re);\\r\\n }\\r\\n finally {\\r\\n\\r\\n \\trestoreStackSize(stackSize);\\r\\n\\r\\n }\\r\\n return ;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"59b17494379b7251ecab980ffd292725\",\n \"score\": \"0.5310173\",\n \"text\": \"DomainPackage createDomainPackage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a6bb9092b750ca37595366c343ab8190\",\n \"score\": \"0.5304866\",\n \"text\": \"@Override\\n\\tpublic String getPACKAGE() {\\n\\t\\treturn PACKAGE;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0392433cbc983edcae3f70127d34fe0e\",\n \"score\": \"0.5298427\",\n \"text\": \"public void setPackage(java.lang.String value) {\\n\\t\\t_Package = value;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"274154d7cf38319de22e50b4d0059708\",\n \"score\": \"0.52770394\",\n \"text\": \"public static String getPackageAliasName()\\n {\\n return _packageAlias;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"276da6ba72b24701a1e8356a540cd5ef\",\n \"score\": \"0.527252\",\n \"text\": \"AfplibPackage getAfplibPackage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e0b414fa67079d718e7ad8292c78dc9\",\n \"score\": \"0.52621055\",\n \"text\": \"ProjectPackage getProjectPackage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7852bb64618b984ea37013072770caf4\",\n \"score\": \"0.525374\",\n \"text\": \"void reportPackage(String pkg);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"472fabf8a716dd84b61e0269a9eadd90\",\n \"score\": \"0.5247882\",\n \"text\": \"@Override\\n\\tpublic void makePackage() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"31fd2a34a9fe1df3ee02e521cf04e1a2\",\n \"score\": \"0.5228928\",\n \"text\": \"public final void rule__PackageDeclaration__Group__0__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3469:1: ( ( 'package' ) )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3470:1: ( 'package' )\\n {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3470:1: ( 'package' )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3471:1: 'package'\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getPackageDeclarationAccess().getPackageKeyword_0()); \\n }\\n match(input,48,FOLLOW_48_in_rule__PackageDeclaration__Group__0__Impl7558); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getPackageDeclarationAccess().getPackageKeyword_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ffc380b5e5abd6d3e74ee35ee9e3d6bf\",\n \"score\": \"0.5227436\",\n \"text\": \"public final void ruleQualifiedNameWithWildcard() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:2136:2: ( ( ( rule__QualifiedNameWithWildcard__Group__0 ) ) )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:2137:1: ( ( rule__QualifiedNameWithWildcard__Group__0 ) )\\n {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:2137:1: ( ( rule__QualifiedNameWithWildcard__Group__0 ) )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:2138:1: ( rule__QualifiedNameWithWildcard__Group__0 )\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getQualifiedNameWithWildcardAccess().getGroup()); \\n }\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:2139:1: ( rule__QualifiedNameWithWildcard__Group__0 )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:2139:2: rule__QualifiedNameWithWildcard__Group__0\\n {\\n pushFollow(FOLLOW_rule__QualifiedNameWithWildcard__Group__0_in_ruleQualifiedNameWithWildcard4498);\\n rule__QualifiedNameWithWildcard__Group__0();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getQualifiedNameWithWildcardAccess().getGroup()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e72cda7bec5ab15f164463228475a9e7\",\n \"score\": \"0.5220974\",\n \"text\": \"@Override\\n\\tJavaPackageRepresentation getJavaPackage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"549b2cbebf862718e0a15e12c995f448\",\n \"score\": \"0.5197741\",\n \"text\": \"interface packageinfo {\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"549b2cbebf862718e0a15e12c995f448\",\n \"score\": \"0.5197741\",\n \"text\": \"interface packageinfo {\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"549b2cbebf862718e0a15e12c995f448\",\n \"score\": \"0.5197741\",\n \"text\": \"interface packageinfo {\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"549b2cbebf862718e0a15e12c995f448\",\n \"score\": \"0.5197741\",\n \"text\": \"interface packageinfo {\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a3d392d34a6633016d40be99949f5b5\",\n \"score\": \"0.51889384\",\n \"text\": \"public boolean shouldShowInNamespaceToPackageViewer(String namespace);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a37e9517c37c7cf5c04b4e17ba9b704\",\n \"score\": \"0.5185554\",\n \"text\": \"public final void rule__QualifiedNameWithWildcard__Group__2__Impl() throws RecognitionException {\\r\\n\\r\\n \\t\\tint stackSize = keepStackSize();\\r\\n \\t\\r\\n try {\\r\\n // InternalBugsly.g:15919:1: ( ( '*' ) )\\r\\n // InternalBugsly.g:15920:1: ( '*' )\\r\\n {\\r\\n // InternalBugsly.g:15920:1: ( '*' )\\r\\n // InternalBugsly.g:15921:2: '*'\\r\\n {\\r\\n if ( state.backtracking==0 ) {\\r\\n before(grammarAccess.getQualifiedNameWithWildcardAccess().getAsteriskKeyword_2()); \\r\\n }\\r\\n match(input,36,FOLLOW_2); if (state.failed) return ;\\r\\n if ( state.backtracking==0 ) {\\r\\n after(grammarAccess.getQualifiedNameWithWildcardAccess().getAsteriskKeyword_2()); \\r\\n }\\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n catch (RecognitionException re) {\\r\\n reportError(re);\\r\\n recover(input,re);\\r\\n }\\r\\n finally {\\r\\n\\r\\n \\trestoreStackSize(stackSize);\\r\\n\\r\\n }\\r\\n return ;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dca994d48e24b4ccc2f9f08aff9e676f\",\n \"score\": \"0.5175264\",\n \"text\": \"public final void rule__QualifiedNameWithWildcard__Group__0__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15432:1: ( ( ruleQualifiedName ) )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15433:1: ( ruleQualifiedName )\\n {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15433:1: ( ruleQualifiedName )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15434:1: ruleQualifiedName\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getQualifiedNameWithWildcardAccess().getQualifiedNameParserRuleCall_0()); \\n }\\n pushFollow(FOLLOW_ruleQualifiedName_in_rule__QualifiedNameWithWildcard__Group__0__Impl31069);\\n ruleQualifiedName();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getQualifiedNameWithWildcardAccess().getQualifiedNameParserRuleCall_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e0235f5351c79bf7ce1e66fc2a91917\",\n \"score\": \"0.5174328\",\n \"text\": \"public final void rule__QualifiedNameWithWildcard__Group__2__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15491:1: ( ( '*' ) )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15492:1: ( '*' )\\n {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15492:1: ( '*' )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15493:1: '*'\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getQualifiedNameWithWildcardAccess().getAsteriskKeyword_2()); \\n }\\n match(input,35,FOLLOW_35_in_rule__QualifiedNameWithWildcard__Group__2__Impl31188); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getQualifiedNameWithWildcardAccess().getAsteriskKeyword_2()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"20cf2931683078a328408163e13dbc3a\",\n \"score\": \"0.5161218\",\n \"text\": \"DataPackage getDataPackage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd1f38adb68a637505df9c2c639595fe\",\n \"score\": \"0.5144635\",\n \"text\": \"Problem removePackage(String name);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"73cccd0a85075ef1b380d302e891ab24\",\n \"score\": \"0.5126233\",\n \"text\": \"public final void rule__QualifiedNameWithWildcard__Group__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15449:1: ( rule__QualifiedNameWithWildcard__Group__1__Impl rule__QualifiedNameWithWildcard__Group__2 )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15450:2: rule__QualifiedNameWithWildcard__Group__1__Impl rule__QualifiedNameWithWildcard__Group__2\\n {\\n pushFollow(FOLLOW_rule__QualifiedNameWithWildcard__Group__1__Impl_in_rule__QualifiedNameWithWildcard__Group__131098);\\n rule__QualifiedNameWithWildcard__Group__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__QualifiedNameWithWildcard__Group__2_in_rule__QualifiedNameWithWildcard__Group__131101);\\n rule__QualifiedNameWithWildcard__Group__2();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"abd5c9198fb2dc0950171fdf13a09c1b\",\n \"score\": \"0.51204723\",\n \"text\": \"protected void writePackageInfoFact(String packageName, String shortName, String ownerName) {\\r\\n if (\\\"<root_package>\\\".equals(packageName) || \\\"<unnamed_package>\\\".equals(packageName)) {\\r\\n packageName = null;\\r\\n }\\r\\n if (\\\"<root_package>\\\".equals(ownerName) || \\\"<unnamed_package>\\\".equals(ownerName)) {\\r\\n ownerName = null;\\r\\n }\\r\\n if (null != packageName) {\\r\\n out.println(new StringBuffer().append(REPLACE)\\r\\n .append(JPackage)\\r\\n .append(\\\"(id, name, shortName, parentPackage, salsaProjectId) VALUES(\\\")\\r\\n .append(md5(packageName))\\r\\n .append(COMMA)\\r\\n .append(quoted(packageName))\\r\\n .append(COMMA)\\r\\n .append(quoted(shortName))\\r\\n .append(COMMA)\\r\\n .append(md5(ownerName))\\r\\n .append(\\\", @project_id\\\")\\r\\n .append(\\\");\\\")\\r\\n .toString());\\r\\n if (null != ownerName) {\\r\\n out.println(new StringBuffer().append(REPLACE)\\r\\n .append(JPackage_PackagesTransitive)\\r\\n .append(\\\"(packages, parentPackage, salsaProjectId) VALUES(\\\")\\r\\n .append(md5(packageName))\\r\\n .append(COMMA)\\r\\n .append(md5(ownerName))\\r\\n .append(\\\", @project_id\\\")\\r\\n .append(\\\");\\\")\\r\\n .toString());\\r\\n// makeTransitiveClosure(md5(ownerName), md5(packageName), \\\"JPackage_Packages\\\", \\\"parentPackage\\\", \\\"packages\\\");\\r\\n }\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"89f2ab61f88b07ca1f268b1fcd1dc94c\",\n \"score\": \"0.5120369\",\n \"text\": \"ElemPackage getElemPackage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aa5c6c70df6f9dd12578e8b9b6059a78\",\n \"score\": \"0.51158786\",\n \"text\": \"public interface KnowledgePackage {\\r\\n /**\\r\\n * The namespace for this package\\r\\n * @return\\r\\n */\\r\\n String getName();\\r\\n\\r\\n /**\\r\\n * Return the rule definitions for this package.\\r\\n * The collection is immutable.\\r\\n * \\r\\n * @return\\r\\n */ \\r\\n Collection<Rule> getRules();\\r\\n\\r\\n /**\\r\\n * Return the process definitions for this package.\\r\\n * The collection is immutable.\\r\\n * \\r\\n * @return\\r\\n */\\r\\n Collection<Process> getProcesses();\\r\\n\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d88b0f6d03671632cce1ff5ae95c3183\",\n \"score\": \"0.511509\",\n \"text\": \"public final void rule__Import__ImportedNamespaceAssignment_1() throws RecognitionException {\\r\\n\\r\\n \\t\\tint stackSize = keepStackSize();\\r\\n \\r\\n try {\\r\\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:3328:1: ( ( ruleQualifiedNameWithWildCard ) )\\r\\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:3329:1: ( ruleQualifiedNameWithWildCard )\\r\\n {\\r\\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:3329:1: ( ruleQualifiedNameWithWildCard )\\r\\n // ../hu.bme.mit.androtext.androres.ui/src-gen/hu/bme/mit/androtext/androres/ui/contentassist/antlr/internal/InternalAndroResDsl.g:3330:1: ruleQualifiedNameWithWildCard\\r\\n {\\r\\n before(grammarAccess.getImportAccess().getImportedNamespaceQualifiedNameWithWildCardParserRuleCall_1_0()); \\r\\n pushFollow(FOLLOW_ruleQualifiedNameWithWildCard_in_rule__Import__ImportedNamespaceAssignment_16705);\\r\\n ruleQualifiedNameWithWildCard();\\r\\n\\r\\n state._fsp--;\\r\\n\\r\\n after(grammarAccess.getImportAccess().getImportedNamespaceQualifiedNameWithWildCardParserRuleCall_1_0()); \\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n catch (RecognitionException re) {\\r\\n reportError(re);\\r\\n recover(input,re);\\r\\n }\\r\\n finally {\\r\\n\\r\\n \\trestoreStackSize(stackSize);\\r\\n\\r\\n }\\r\\n return ;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6cb01f28566df6b0de447e301f267b41\",\n \"score\": \"0.5113041\",\n \"text\": \"PsiPackage @NotNull [] getSubPackages();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e7cf63eaa65f2fb7e9e0913b1cb3084b\",\n \"score\": \"0.5111065\",\n \"text\": \"public static boolean isPackageAlias(String alias_)\\n {\\n return _packageAlias.equals(alias_);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eae21072baca6feb9cf2460e1526af48\",\n \"score\": \"0.5105269\",\n \"text\": \"void setPackage(OdfPackage pkg) {\\n mPackage = pkg;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5849df6dd1e1141e837fea69f9396fe3\",\n \"score\": \"0.51028776\",\n \"text\": \"public PackageSpecification[] getPackages();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c96ece772ecfd6ae0d65eba3ec4a0f97\",\n \"score\": \"0.509831\",\n \"text\": \"public final void rule__QualifiedNameWithWildCard__Group_1__1__Impl() throws RecognitionException {\\r\\n\\r\\n \\t\\tint stackSize = keepStackSize();\\r\\n \\r\\n try {\\r\\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:6705:1: ( ( '*' ) )\\r\\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:6706:1: ( '*' )\\r\\n {\\r\\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:6706:1: ( '*' )\\r\\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:6707:1: '*'\\r\\n {\\r\\n if ( state.backtracking==0 ) {\\r\\n before(grammarAccess.getQualifiedNameWithWildCardAccess().getAsteriskKeyword_1_1()); \\r\\n }\\r\\n match(input,25,FOLLOW_25_in_rule__QualifiedNameWithWildCard__Group_1__1__Impl13946); if (state.failed) return ;\\r\\n if ( state.backtracking==0 ) {\\r\\n after(grammarAccess.getQualifiedNameWithWildCardAccess().getAsteriskKeyword_1_1()); \\r\\n }\\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n catch (RecognitionException re) {\\r\\n reportError(re);\\r\\n recover(input,re);\\r\\n }\\r\\n finally {\\r\\n\\r\\n \\trestoreStackSize(stackSize);\\r\\n\\r\\n }\\r\\n return ;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c6cf05a04e14c35d07b47a37026fe01b\",\n \"score\": \"0.5094726\",\n \"text\": \"ClassDecl name(String name);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"37e8965b9ad78d1c73c5ee7234b04e0b\",\n \"score\": \"0.5088243\",\n \"text\": \"protected String getPackageName() {\\r\\n\\t\\tif (classname != null && classname.indexOf('.') != -1) {\\r\\n\\t\\t\\tint separate = classname.lastIndexOf('.');\\r\\n\\t\\t\\treturn classname.substring(0, separate);\\r\\n\\t\\t} else {\\r\\n\\t\\t\\treturn null;\\r\\n\\t\\t}\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"09b81952d8295e52b299ecd766d1dc16\",\n \"score\": \"0.5084643\",\n \"text\": \"private static String generateForPackage(String packageName, boolean isChildNode) {\\n String javaDoc = JAVA_DOC_FIRST_LINE + PACKAGE_INFO_JAVADOC + packageName;\\n if (isChildNode) {\\n javaDoc = javaDoc + PACKAGE_INFO_JAVADOC_OF_CHILD;\\n }\\n return javaDoc + PERIOD + NEW_LINE + JAVA_DOC_END_LINE;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c121f9cd11f6f8cfc43be89106fec567\",\n \"score\": \"0.50766087\",\n \"text\": \"public final void rule__Import__ImportedNamespaceAssignment_1() throws RecognitionException {\\r\\n\\r\\n \\t\\tint stackSize = keepStackSize();\\r\\n \\r\\n try {\\r\\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:17687:1: ( ( ruleQualifiedNameWithWildCard ) )\\r\\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:17688:1: ( ruleQualifiedNameWithWildCard )\\r\\n {\\r\\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:17688:1: ( ruleQualifiedNameWithWildCard )\\r\\n // ../com.avaloq.tools.dslsdk.check.ui/src-gen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:17689:1: ruleQualifiedNameWithWildCard\\r\\n {\\r\\n if ( state.backtracking==0 ) {\\r\\n before(grammarAccess.getImportAccess().getImportedNamespaceQualifiedNameWithWildCardParserRuleCall_1_0()); \\r\\n }\\r\\n pushFollow(FOLLOW_ruleQualifiedNameWithWildCard_in_rule__Import__ImportedNamespaceAssignment_135531);\\r\\n ruleQualifiedNameWithWildCard();\\r\\n\\r\\n state._fsp--;\\r\\n if (state.failed) return ;\\r\\n if ( state.backtracking==0 ) {\\r\\n after(grammarAccess.getImportAccess().getImportedNamespaceQualifiedNameWithWildCardParserRuleCall_1_0()); \\r\\n }\\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n catch (RecognitionException re) {\\r\\n reportError(re);\\r\\n recover(input,re);\\r\\n }\\r\\n finally {\\r\\n\\r\\n \\trestoreStackSize(stackSize);\\r\\n\\r\\n }\\r\\n return ;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"48f078b11d6334e3b2fd25819a3eb30a\",\n \"score\": \"0.50710475\",\n \"text\": \"public static void setPackageName(String packageName) {\\n\\t\\tResource.packageName = packageName;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"92eca2b08d389d9c02618e3884d18a6b\",\n \"score\": \"0.50701535\",\n \"text\": \"public void report(IndentingPrintWriter out) {\\r\\n\\t\\t// write the package name\\r\\n\\t\\tout.println(\\\"Package: \\\" + getQualifiedName());\\r\\n\\t\\tout.println(\\\"-----------------------------------------\\\");\\r\\n\\t\\tout.indent();\\r\\n\\r\\n\\t\\t// list all references to this package (in import statements)\\r\\n\\t\\tlistReferences(out);\\r\\n\\r\\n\\t\\t// if we found any definitions in this package, report them\\r\\n\\t\\tif (hasElements())\\r\\n\\t\\t\\treportElements(out);\\r\\n\\t\\telse\\r\\n\\t\\t\\tout.println(\\\"(No definitions parsed)\\\");\\r\\n\\t\\tout.dedent();\\r\\n\\t\\tout.println();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6fd9a7279a03bd777cf99221904a5838\",\n \"score\": \"0.5069448\",\n \"text\": \"String getNamespace();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6fd9a7279a03bd777cf99221904a5838\",\n \"score\": \"0.5069448\",\n \"text\": \"String getNamespace();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6fd9a7279a03bd777cf99221904a5838\",\n \"score\": \"0.5069448\",\n \"text\": \"String getNamespace();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc7e2043cb1b80233a130dfe471e54aa\",\n \"score\": \"0.50680435\",\n \"text\": \"public final void rule__QualifiedNameWithWildcard__Group__0() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15420:1: ( rule__QualifiedNameWithWildcard__Group__0__Impl rule__QualifiedNameWithWildcard__Group__1 )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:15421:2: rule__QualifiedNameWithWildcard__Group__0__Impl rule__QualifiedNameWithWildcard__Group__1\\n {\\n pushFollow(FOLLOW_rule__QualifiedNameWithWildcard__Group__0__Impl_in_rule__QualifiedNameWithWildcard__Group__031039);\\n rule__QualifiedNameWithWildcard__Group__0__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__QualifiedNameWithWildcard__Group__1_in_rule__QualifiedNameWithWildcard__Group__031042);\\n rule__QualifiedNameWithWildcard__Group__1();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d7e1f4fb3edf1290eb4f9b4479b6905\",\n \"score\": \"0.5059555\",\n \"text\": \"public final void rule__PackageDeclaration__Group__1__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3500:1: ( ( ( rule__PackageDeclaration__NameAssignment_1 ) ) )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3501:1: ( ( rule__PackageDeclaration__NameAssignment_1 ) )\\n {\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3501:1: ( ( rule__PackageDeclaration__NameAssignment_1 ) )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3502:1: ( rule__PackageDeclaration__NameAssignment_1 )\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getPackageDeclarationAccess().getNameAssignment_1()); \\n }\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3503:1: ( rule__PackageDeclaration__NameAssignment_1 )\\n // ../org.xtext.mongobeans.ui/src-gen/org/xtext/mongobeans/ui/contentassist/antlr/internal/InternalMongoBeans.g:3503:2: rule__PackageDeclaration__NameAssignment_1\\n {\\n pushFollow(FOLLOW_rule__PackageDeclaration__NameAssignment_1_in_rule__PackageDeclaration__Group__1__Impl7619);\\n rule__PackageDeclaration__NameAssignment_1();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getPackageDeclarationAccess().getNameAssignment_1()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ba23bc4120856b85a403bec21b023f5d\",\n \"score\": \"0.5054559\",\n \"text\": \"public final void rule__XImportDeclaration__Alternatives_1_0_3() throws RecognitionException {\\r\\n\\r\\n \\t\\tint stackSize = keepStackSize();\\r\\n \\t\\r\\n try {\\r\\n // InternalBugsly.g:3237:1: ( ( ( rule__XImportDeclaration__WildcardAssignment_1_0_3_0 ) ) | ( ( rule__XImportDeclaration__MemberNameAssignment_1_0_3_1 ) ) )\\r\\n int alt44=2;\\r\\n int LA44_0 = input.LA(1);\\r\\n\\r\\n if ( (LA44_0==36) ) {\\r\\n alt44=1;\\r\\n }\\r\\n else if ( (LA44_0==RULE_ID) ) {\\r\\n alt44=2;\\r\\n }\\r\\n else {\\r\\n if (state.backtracking>0) {state.failed=true; return ;}\\r\\n NoViableAltException nvae =\\r\\n new NoViableAltException(\\\"\\\", 44, 0, input);\\r\\n\\r\\n throw nvae;\\r\\n }\\r\\n switch (alt44) {\\r\\n case 1 :\\r\\n // InternalBugsly.g:3238:2: ( ( rule__XImportDeclaration__WildcardAssignment_1_0_3_0 ) )\\r\\n {\\r\\n // InternalBugsly.g:3238:2: ( ( rule__XImportDeclaration__WildcardAssignment_1_0_3_0 ) )\\r\\n // InternalBugsly.g:3239:3: ( rule__XImportDeclaration__WildcardAssignment_1_0_3_0 )\\r\\n {\\r\\n if ( state.backtracking==0 ) {\\r\\n before(grammarAccess.getXImportDeclarationAccess().getWildcardAssignment_1_0_3_0()); \\r\\n }\\r\\n // InternalBugsly.g:3240:3: ( rule__XImportDeclaration__WildcardAssignment_1_0_3_0 )\\r\\n // InternalBugsly.g:3240:4: rule__XImportDeclaration__WildcardAssignment_1_0_3_0\\r\\n {\\r\\n pushFollow(FOLLOW_2);\\r\\n rule__XImportDeclaration__WildcardAssignment_1_0_3_0();\\r\\n\\r\\n state._fsp--;\\r\\n if (state.failed) return ;\\r\\n\\r\\n }\\r\\n\\r\\n if ( state.backtracking==0 ) {\\r\\n after(grammarAccess.getXImportDeclarationAccess().getWildcardAssignment_1_0_3_0()); \\r\\n }\\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n break;\\r\\n case 2 :\\r\\n // InternalBugsly.g:3244:2: ( ( rule__XImportDeclaration__MemberNameAssignment_1_0_3_1 ) )\\r\\n {\\r\\n // InternalBugsly.g:3244:2: ( ( rule__XImportDeclaration__MemberNameAssignment_1_0_3_1 ) )\\r\\n // InternalBugsly.g:3245:3: ( rule__XImportDeclaration__MemberNameAssignment_1_0_3_1 )\\r\\n {\\r\\n if ( state.backtracking==0 ) {\\r\\n before(grammarAccess.getXImportDeclarationAccess().getMemberNameAssignment_1_0_3_1()); \\r\\n }\\r\\n // InternalBugsly.g:3246:3: ( rule__XImportDeclaration__MemberNameAssignment_1_0_3_1 )\\r\\n // InternalBugsly.g:3246:4: rule__XImportDeclaration__MemberNameAssignment_1_0_3_1\\r\\n {\\r\\n pushFollow(FOLLOW_2);\\r\\n rule__XImportDeclaration__MemberNameAssignment_1_0_3_1();\\r\\n\\r\\n state._fsp--;\\r\\n if (state.failed) return ;\\r\\n\\r\\n }\\r\\n\\r\\n if ( state.backtracking==0 ) {\\r\\n after(grammarAccess.getXImportDeclarationAccess().getMemberNameAssignment_1_0_3_1()); \\r\\n }\\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n break;\\r\\n\\r\\n }\\r\\n }\\r\\n catch (RecognitionException re) {\\r\\n reportError(re);\\r\\n recover(input,re);\\r\\n }\\r\\n finally {\\r\\n\\r\\n \\trestoreStackSize(stackSize);\\r\\n\\r\\n }\\r\\n return ;\\r\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992490,"cells":{"query_id":{"kind":"string","value":"7b4a066f84529c7eccd8a1a685d0aed2"},"query":{"kind":"string","value":"Test case number: 2 /Coverage entropy=1.0986122886681096"},"positive_passages":{"kind":"list like","value":[{"docid":"119920265d663e626dabfd31900ea714","score":"0.0","text":"@Test(timeout = 4000)\n public void test2() throws Throwable {\n MockInetAddress.getByName(\"Couldn't close input stream\");\n Proxy proxy0 = Proxy.NO_PROXY;\n MockSocket mockSocket0 = new MockSocket(proxy0);\n BomberClient bomberClient0 = BomberClient.getInstance();\n ClientMsgReceiver clientMsgReceiver0 = new ClientMsgReceiver(mockSocket0, bomberClient0);\n SQLInvalidAuthorizationSpecException sQLInvalidAuthorizationSpecException0 = new SQLInvalidAuthorizationSpecException();\n String string0 = \"\";\n String string1 = \"Lost connection to server!\";\n int int0 = 0;\n SQLFeatureNotSupportedException sQLFeatureNotSupportedException0 = new SQLFeatureNotSupportedException(string1, string0, int0);\n SQLSyntaxErrorException sQLSyntaxErrorException0 = new SQLSyntaxErrorException(string0, sQLFeatureNotSupportedException0);\n // Undeclared exception!\n try { \n clientMsgReceiver0.handleConnectionLoss(sQLFeatureNotSupportedException0);\n fail(\"Expecting exception: HeadlessException\");\n \n } catch(HeadlessException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"java.awt.GraphicsEnvironment\", e);\n }\n }","title":""}],"string":"[\n {\n \"docid\": \"119920265d663e626dabfd31900ea714\",\n \"score\": \"0.0\",\n \"text\": \"@Test(timeout = 4000)\\n public void test2() throws Throwable {\\n MockInetAddress.getByName(\\\"Couldn't close input stream\\\");\\n Proxy proxy0 = Proxy.NO_PROXY;\\n MockSocket mockSocket0 = new MockSocket(proxy0);\\n BomberClient bomberClient0 = BomberClient.getInstance();\\n ClientMsgReceiver clientMsgReceiver0 = new ClientMsgReceiver(mockSocket0, bomberClient0);\\n SQLInvalidAuthorizationSpecException sQLInvalidAuthorizationSpecException0 = new SQLInvalidAuthorizationSpecException();\\n String string0 = \\\"\\\";\\n String string1 = \\\"Lost connection to server!\\\";\\n int int0 = 0;\\n SQLFeatureNotSupportedException sQLFeatureNotSupportedException0 = new SQLFeatureNotSupportedException(string1, string0, int0);\\n SQLSyntaxErrorException sQLSyntaxErrorException0 = new SQLSyntaxErrorException(string0, sQLFeatureNotSupportedException0);\\n // Undeclared exception!\\n try { \\n clientMsgReceiver0.handleConnectionLoss(sQLFeatureNotSupportedException0);\\n fail(\\\"Expecting exception: HeadlessException\\\");\\n \\n } catch(HeadlessException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"java.awt.GraphicsEnvironment\\\", e);\\n }\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"dc7afd015f73b66477d28310a9524aa9","score":"0.6935201","text":"@Test\n public void testEntropy() {\n System.out.println(\"entropy\");\n TDistribution instance = new TDistribution(20);\n Assert.assertEquals(1.46954202, instance.entropy(), 1.0E-7);\n }","title":""},{"docid":"573325d2a6229174e2df85e3d1e66f15","score":"0.661069","text":"@Test(timeout = 4000)\n public void test82() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertNotNull(regressionByDiscretization0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertNotNull(capabilities0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(testInstances0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(1, testInstances0.getNumDate());\n \n Instances instances0 = testInstances0.generate(\"|J\");\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(instances0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(3, instances0.classIndex());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(evaluation0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(3, instances0.classIndex());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n \n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n assertNotNull(textDirectoryLoader0);\n assertEquals(\"The character set to use when reading text files (eg UTF-8) - leave blank to use the default character set.\", textDirectoryLoader0.charSetTipText());\n assertEquals(\"Directories\", textDirectoryLoader0.getFileDescription());\n assertEquals(\"Whether to print additional debug information to the console.\", textDirectoryLoader0.debugTipText());\n assertEquals(\"Whether to store the filename in an additional attribute.\", textDirectoryLoader0.outputFilenameTipText());\n assertEquals(\"Loads all text files in a directory and uses the subdirectory names as class labels. The content of the text files will be stored in a String attribute, the filename can be stored as well.\", textDirectoryLoader0.globalInfo());\n assertEquals(\"\", textDirectoryLoader0.getCharSet());\n assertFalse(textDirectoryLoader0.getOutputFilename());\n assertFalse(textDirectoryLoader0.getDebug());\n \n Instances instances1 = textDirectoryLoader0.getStructure();\n assertNotNull(instances1);\n assertFalse(instances1.equals((Object)instances0));\n assertEquals(\"The character set to use when reading text files (eg UTF-8) - leave blank to use the default character set.\", textDirectoryLoader0.charSetTipText());\n assertEquals(\"Directories\", textDirectoryLoader0.getFileDescription());\n assertEquals(\"Whether to print additional debug information to the console.\", textDirectoryLoader0.debugTipText());\n assertEquals(\"Whether to store the filename in an additional attribute.\", textDirectoryLoader0.outputFilenameTipText());\n assertEquals(\"Loads all text files in a directory and uses the subdirectory names as class labels. The content of the text files will be stored in a String attribute, the filename can be stored as well.\", textDirectoryLoader0.globalInfo());\n assertEquals(\"\", textDirectoryLoader0.getCharSet());\n assertFalse(textDirectoryLoader0.getOutputFilename());\n assertFalse(textDirectoryLoader0.getDebug());\n assertEquals(0.0, instances1.sumOfWeights(), 0.01);\n assertEquals(0, instances1.size());\n assertTrue(instances1.checkForStringAttributes());\n assertEquals(2, instances1.numAttributes());\n assertEquals(0, instances1.numClasses());\n assertEquals(1, instances1.classIndex());\n assertEquals(0, instances1.numInstances());\n assertEquals(\"_home_ubuntu_evosuite_readability_gen_projects_107_weka\", instances1.relationName());\n assertNotSame(instances1, instances0);\n \n CostMatrix costMatrix0 = new CostMatrix(0);\n assertNotNull(costMatrix0);\n assertEquals(0, costMatrix0.numColumns());\n assertEquals(0, costMatrix0.size());\n assertEquals(0, costMatrix0.numRows());\n \n CostMatrix costMatrix1 = new CostMatrix(costMatrix0);\n assertNotNull(costMatrix1);\n assertFalse(costMatrix1.equals((Object)costMatrix0));\n assertEquals(0, costMatrix0.numColumns());\n assertEquals(0, costMatrix0.size());\n assertEquals(0, costMatrix0.numRows());\n assertEquals(0, costMatrix1.size());\n assertEquals(0, costMatrix1.numRows());\n assertEquals(0, costMatrix1.numColumns());\n \n Evaluation evaluation1 = new Evaluation(instances1, costMatrix1);\n assertNotNull(evaluation1);\n assertFalse(instances1.equals((Object)instances0));\n assertFalse(costMatrix0.equals((Object)costMatrix1));\n assertFalse(costMatrix1.equals((Object)costMatrix0));\n assertFalse(evaluation1.equals((Object)evaluation0));\n assertEquals(\"The character set to use when reading text files (eg UTF-8) - leave blank to use the default character set.\", textDirectoryLoader0.charSetTipText());\n assertEquals(\"Directories\", textDirectoryLoader0.getFileDescription());\n assertEquals(\"Whether to print additional debug information to the console.\", textDirectoryLoader0.debugTipText());\n assertEquals(\"Whether to store the filename in an additional attribute.\", textDirectoryLoader0.outputFilenameTipText());\n assertEquals(\"Loads all text files in a directory and uses the subdirectory names as class labels. The content of the text files will be stored in a String attribute, the filename can be stored as well.\", textDirectoryLoader0.globalInfo());\n assertEquals(\"\", textDirectoryLoader0.getCharSet());\n assertFalse(textDirectoryLoader0.getOutputFilename());\n assertFalse(textDirectoryLoader0.getDebug());\n assertEquals(0.0, instances1.sumOfWeights(), 0.01);\n assertEquals(0, instances1.size());\n assertTrue(instances1.checkForStringAttributes());\n assertEquals(2, instances1.numAttributes());\n assertEquals(0, instances1.numClasses());\n assertEquals(1, instances1.classIndex());\n assertEquals(0, instances1.numInstances());\n assertEquals(\"_home_ubuntu_evosuite_readability_gen_projects_107_weka\", instances1.relationName());\n assertEquals(0, costMatrix0.numColumns());\n assertEquals(0, costMatrix0.size());\n assertEquals(0, costMatrix0.numRows());\n assertEquals(0, costMatrix1.size());\n assertEquals(0, costMatrix1.numRows());\n assertEquals(0, costMatrix1.numColumns());\n assertEquals(Double.NaN, evaluation1.weightedFMeasure(), 0.01);\n assertEquals(Double.NaN, evaluation1.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation1.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation1.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation1.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation1.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation1.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation1.weightedTrueNegativeRate(), 0.01);\n assertEquals(0.0, evaluation1.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation1.unweightedMicroFmeasure(), 0.01);\n assertEquals(1.0, evaluation1.kappa(), 0.01);\n assertEquals(Double.NaN, evaluation1.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation1.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation1.avgCost(), 0.01);\n assertEquals(0.0, evaluation1.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation1.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation1.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation1.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation1.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation1.weightedFalsePositiveRate(), 0.01);\n assertEquals(Double.NaN, evaluation1.weightedTruePositiveRate(), 0.01);\n assertEquals(0.0, evaluation1.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation1.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation1.errorRate(), 0.01);\n assertEquals(Double.NaN, evaluation1.weightedPrecision(), 0.01);\n assertEquals(Double.NaN, evaluation1.weightedFalseNegativeRate(), 0.01);\n assertEquals(Double.NaN, evaluation1.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation1.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation1.SFEntropyGain(), 0.01);\n assertFalse(evaluation1.getDiscardPredictions());\n assertEquals(0.0, evaluation1.correct(), 0.01);\n assertEquals(Double.NaN, evaluation1.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation1.weightedRecall(), 0.01);\n assertEquals(Double.NaN, evaluation1.relativeAbsoluteError(), 0.01);\n \n double[] doubleArray0 = new double[6];\n doubleArray0[0] = (double) (-1);\n doubleArray0[1] = 204.02614061766;\n try { \n evaluation0.priorEntropy();\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // Can't compute entropy of class prior: class numeric!\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"b8db410b5dab986f0afe7f01e70c5147","score":"0.6596566","text":"@Test(timeout = 4000)\n public void test64() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertNotNull(regressionByDiscretization0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertNotNull(capabilities0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(testInstances0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n \n Instances instances0 = testInstances0.generate(\"|J\");\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(instances0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(1, instances0.numClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(evaluation0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(1, instances0.numClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n \n double[] doubleArray0 = new double[9];\n doubleArray0[0] = (double) 2;\n doubleArray0[1] = (double) (-2);\n doubleArray0[2] = (double) 1;\n doubleArray0[3] = (double) 0;\n doubleArray0[4] = (double) 2;\n doubleArray0[5] = (double) 0;\n doubleArray0[6] = (double) 0;\n DenseInstance denseInstance0 = new DenseInstance(1, doubleArray0);\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\n assertNotNull(denseInstance0);\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\n assertEquals(1.0, denseInstance0.weight(), 0.01);\n assertEquals(9, denseInstance0.numValues());\n assertEquals(9, denseInstance0.numAttributes());\n assertEquals(9, doubleArray0.length);\n \n ConverterUtils.DataSource converterUtils_DataSource0 = new ConverterUtils.DataSource(instances0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(converterUtils_DataSource0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(1, instances0.numClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertFalse(converterUtils_DataSource0.isIncremental());\n \n DenseInstance denseInstance1 = (DenseInstance)converterUtils_DataSource0.nextElement(instances0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\n assertNotNull(denseInstance1);\n assertFalse(denseInstance1.equals((Object)denseInstance0));\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(1, instances0.numClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertFalse(converterUtils_DataSource0.isIncremental());\n assertEquals(3, denseInstance1.classIndex());\n assertEquals(1, denseInstance1.numClasses());\n assertEquals(4, denseInstance1.numValues());\n assertEquals(4, denseInstance1.numAttributes());\n assertEquals(1.0, denseInstance1.weight(), 0.01);\n assertNotSame(denseInstance1, denseInstance0);\n \n boolean boolean0 = false;\n double double0 = evaluation0.evaluationForSingleInstance(doubleArray0, denseInstance1, false);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\n assertEquals(2.0, double0, 0.01);\n assertFalse(denseInstance1.equals((Object)denseInstance0));\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(1, instances0.numClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(0.5287499998696148, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.pctIncorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(0.0, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(1.0, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.pctUnclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(1.0, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(0.5287499998696148, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(1.0, evaluation0.numInstances(), 0.01);\n assertEquals(1.0, evaluation0.rootMeanSquaredError(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(189.1252955549109, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(189.1252955549109, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.avgCost(), 0.01);\n assertFalse(converterUtils_DataSource0.isIncremental());\n assertEquals(3, denseInstance1.classIndex());\n assertEquals(1, denseInstance1.numClasses());\n assertEquals(4, denseInstance1.numValues());\n assertEquals(4, denseInstance1.numAttributes());\n assertEquals(1.0, denseInstance1.weight(), 0.01);\n assertEquals(9, doubleArray0.length);\n assertNotSame(denseInstance1, denseInstance0);\n \n try { \n CostMatrix.parseMatlab(\"weka/core/Capabilities.props\");\n fail(\"Expecting exception: StringIndexOutOfBoundsException\");\n \n } catch(StringIndexOutOfBoundsException e) {\n }\n }","title":""},{"docid":"7b5f59baa009a02347ccd855580f091e","score":"0.6593887","text":"@Test(timeout = 4000)\n public void test83() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertNotNull(regressionByDiscretization0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertNotNull(capabilities0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(testInstances0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n \n Instances instances0 = testInstances0.generate(\" \");\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(instances0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(3, instances0.classIndex());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(evaluation0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(3, instances0.classIndex());\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n \n double[] doubleArray0 = new double[9];\n doubleArray0[0] = (double) 2;\n doubleArray0[1] = (double) (-2);\n doubleArray0[2] = (double) 1;\n doubleArray0[3] = (double) 0;\n doubleArray0[5] = (double) 0;\n doubleArray0[6] = (double) 0;\n DenseInstance denseInstance0 = new DenseInstance(1, doubleArray0);\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\n assertNotNull(denseInstance0);\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\n assertEquals(1.0, denseInstance0.weight(), 0.01);\n assertEquals(9, denseInstance0.numValues());\n assertEquals(9, denseInstance0.numAttributes());\n assertEquals(9, doubleArray0.length);\n \n ConverterUtils.DataSource converterUtils_DataSource0 = new ConverterUtils.DataSource(instances0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(converterUtils_DataSource0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(3, instances0.classIndex());\n assertFalse(converterUtils_DataSource0.isIncremental());\n \n DenseInstance denseInstance1 = (DenseInstance)converterUtils_DataSource0.nextElement(instances0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\n assertNotNull(denseInstance1);\n assertFalse(denseInstance1.equals((Object)denseInstance0));\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(3, instances0.classIndex());\n assertFalse(converterUtils_DataSource0.isIncremental());\n assertEquals(1, denseInstance1.numClasses());\n assertEquals(4, denseInstance1.numValues());\n assertEquals(1.0, denseInstance1.weight(), 0.01);\n assertEquals(3, denseInstance1.classIndex());\n assertEquals(4, denseInstance1.numAttributes());\n assertNotSame(denseInstance1, denseInstance0);\n \n denseInstance1.setClassMissing();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\n assertFalse(denseInstance1.equals((Object)denseInstance0));\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(3, instances0.classIndex());\n assertFalse(converterUtils_DataSource0.isIncremental());\n assertEquals(1, denseInstance1.numClasses());\n assertEquals(4, denseInstance1.numValues());\n assertEquals(1.0, denseInstance1.weight(), 0.01);\n assertEquals(3, denseInstance1.classIndex());\n assertEquals(4, denseInstance1.numAttributes());\n assertNotSame(denseInstance1, denseInstance0);\n \n double double0 = evaluation0.evaluationForSingleInstance(doubleArray0, denseInstance1, true);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\n assertEquals(2.0, double0, 0.01);\n assertFalse(denseInstance1.equals((Object)denseInstance0));\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(3, instances0.classIndex());\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertFalse(converterUtils_DataSource0.isIncremental());\n assertEquals(1, denseInstance1.numClasses());\n assertEquals(4, denseInstance1.numValues());\n assertEquals(1.0, denseInstance1.weight(), 0.01);\n assertEquals(3, denseInstance1.classIndex());\n assertEquals(4, denseInstance1.numAttributes());\n assertEquals(9, doubleArray0.length);\n assertNotSame(denseInstance1, denseInstance0);\n \n String string0 = \"i\";\n try { \n evaluation0.KBMeanInformation();\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // Can't compute K&B Info score: class numeric!\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"a896c2ea42e9ea47f4e47785dc75103a","score":"0.65855986","text":"@Test(timeout = 4000)\n public void test67() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(regressionByDiscretization0);\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(capabilities0);\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(testInstances0);\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertFalse(testInstances0.getNoClass());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals((-1), testInstances0.getClassIndex());\n \n Instances instances0 = testInstances0.generate(\"|J\");\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(instances0);\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertFalse(testInstances0.getNoClass());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(3, instances0.classIndex());\n \n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(evaluation0);\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertFalse(testInstances0.getNoClass());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(3, instances0.classIndex());\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n \n try { \n evaluation0.toCumulativeMarginDistributionString();\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // Class must be nominal for margin distributions\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"c65b340a88f97d0ba9031fa8ea0a70f8","score":"0.65322834","text":"@Test(timeout = 4000)\n public void test61() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(regressionByDiscretization0);\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(capabilities0);\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(testInstances0);\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getMultiInstance());\n assertFalse(testInstances0.getNoClass());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(20, testInstances0.getNumInstances());\n \n Instances instances0 = testInstances0.generate(\"{`vSB'pZn~rOk\");\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(instances0);\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getMultiInstance());\n assertFalse(testInstances0.getNoClass());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(1, instances0.numClasses());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(evaluation0);\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getMultiInstance());\n assertFalse(testInstances0.getNoClass());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(1, instances0.numClasses());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n \n boolean boolean0 = FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \"kernelTipText\");\n assertFalse(boolean0);\n \n double double0 = evaluation0.correlationCoefficient();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getMultiInstance());\n assertFalse(testInstances0.getNoClass());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(1, instances0.numClasses());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n \n // Undeclared exception!\n try { \n testInstances0.setRelationalFormat(2, instances0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 2\n //\n verifyException(\"weka.core.TestInstances\", e);\n }\n }","title":""},{"docid":"0294779cf869a92f0915b487e30655a5","score":"0.65218633","text":"double getFeatureCoverage();","title":""},{"docid":"ba9d84782c614f661d54db618723186e","score":"0.650333","text":"@Test(timeout = 4000)\n public void test63() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertNotNull(regressionByDiscretization0);\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertNotNull(capabilities0);\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(testInstances0);\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getSeed());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n \n Instances instances0 = testInstances0.generate(\"|J\");\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(instances0);\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getSeed());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, instances0.numClasses());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(3, instances0.classIndex());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(evaluation0);\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getSeed());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, instances0.numClasses());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(3, instances0.classIndex());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n \n double[] doubleArray0 = new double[4];\n doubleArray0[0] = 1000.0;\n doubleArray0[1] = (double) 0;\n doubleArray0[2] = (double) 1;\n doubleArray0[3] = (double) 0;\n // Undeclared exception!\n try { \n evaluation0.updateMargins(doubleArray0, 0, (-1));\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 250250\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"de5f31512a14dd9e6b6125e90ac78777","score":"0.649","text":"@Test(timeout = 4000)\n public void test53() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(regressionByDiscretization0);\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(capabilities0);\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(testInstances0);\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getNoClass());\n \n Instances instances0 = testInstances0.generate(\"|J\");\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(instances0);\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(20, instances0.numInstances());\n assertEquals(4, instances0.numAttributes());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(1, instances0.numClasses());\n \n String string0 = Evaluation.getGlobalInfo(regressionByDiscretization0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(string0);\n assertEquals(\"\\nSynopsis for weka.classifiers.meta.RegressionByDiscretization:\\n\\nA regression scheme that employs any classifier on a copy of the data that has the class attribute discretized. The predicted value is the expected value of the mean class value for each discretized interval (based on the predicted probabilities for each interval). This class now also supports conditional density estimation by building a univariate density estimator from the target values in the training data, weighted by the class probabilities. \\n\\nFor more information on this process, see\\n\\nEibe Frank, Remco R. Bouckaert: Conditional Density Estimation with Class Probability Estimators. In: First Asian Conference on Machine Learning, Berlin, 65-81, 2009.\", string0);\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(evaluation0);\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(20, instances0.numInstances());\n assertEquals(4, instances0.numAttributes());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(1, instances0.numClasses());\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n \n try { \n evaluation0.KBInformation();\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // Can't compute K&B Info score: class numeric!\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"c3b044fe5f89582eb0270a9e660d10f2","score":"0.6474651","text":"@Test(timeout = 4000)\n public void test69() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertNotNull(regressionByDiscretization0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertNotNull(capabilities0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(testInstances0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getNoClass());\n assertEquals(0, testInstances0.getClassType());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumClasses());\n \n Instances instances0 = testInstances0.generate(\"|J\");\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(instances0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getNoClass());\n assertEquals(0, testInstances0.getClassType());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumClasses());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertEquals(20, instances0.numInstances());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(3, instances0.classIndex());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(evaluation0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getNoClass());\n assertEquals(0, testInstances0.getClassType());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumClasses());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertEquals(20, instances0.numInstances());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(3, instances0.classIndex());\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n \n Evaluation evaluation1 = new Evaluation(instances0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(evaluation1);\n assertTrue(evaluation1.equals((Object)evaluation0));\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getNoClass());\n assertEquals(0, testInstances0.getClassType());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumClasses());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertEquals(20, instances0.numInstances());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(3, instances0.classIndex());\n assertEquals(0.0, evaluation1.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation1.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation1.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation1.errorRate(), 0.01);\n assertEquals(0.0, evaluation1.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation1.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation1.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation1.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation1.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation1.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation1.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation1.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation1.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation1.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation1.rootRelativeSquaredError(), 0.01);\n assertEquals(0.0, evaluation1.unclassified(), 0.01);\n assertEquals(0.0, evaluation1.correct(), 0.01);\n assertEquals(Double.NaN, evaluation1.SFMeanPriorEntropy(), 0.01);\n assertFalse(evaluation1.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation1.pctIncorrect(), 0.01);\n assertEquals(0.0, evaluation1.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation1.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation1.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation1.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation1.numInstances(), 0.01);\n \n double double0 = evaluation0.errorRate();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals(Double.NaN, double0, 0.01);\n assertTrue(evaluation0.equals((Object)evaluation1));\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getNoClass());\n assertEquals(0, testInstances0.getClassType());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumClasses());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertEquals(20, instances0.numInstances());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(3, instances0.classIndex());\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertNotSame(evaluation0, evaluation1);\n }","title":""},{"docid":"49f6c63d485c47ad930fe40da1da7580","score":"0.6446971","text":"@Test(timeout = 4000)\n public void test14() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\")OLe\");\n Instances instances1 = new Instances(instances0);\n instances0.delete();\n MockRandom mockRandom0 = new MockRandom(0L);\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanPriorEntropy();\n Vector<String> vector0 = new Vector<String>();\n Attribute attribute0 = new Attribute(\"NONE\", vector0, (-147));\n instances0.sort(attribute0);\n double double1 = evaluation0.weightedFMeasure();\n assertEquals(double1, double0, 0.01);\n \n String string0 = evaluation0.toMatrixString(\")OLe\");\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(\")OLe\\n a b <-- classified as\\n 0 0 | a = class1\\n 0 0 | b = class2\\n\", string0);\n }","title":""},{"docid":"004f484e9f3c80a6e34cd3b4d83d7296","score":"0.6430253","text":"@Test(timeout = 4000)\n public void test59() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertNotNull(regressionByDiscretization0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertNotNull(capabilities0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(testInstances0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(1, testInstances0.getSeed());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumString());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(4, testInstances0.getNumAttributes());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(2, testInstances0.getNumNominalValues());\n \n Instances instances0 = testInstances0.generate(\"|J\");\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(instances0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(1, testInstances0.getSeed());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumString());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(4, testInstances0.getNumAttributes());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(4, instances0.numAttributes());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(1, instances0.numClasses());\n assertEquals(\"Testdata\", instances0.relationName());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(evaluation0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(1, testInstances0.getSeed());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumString());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(4, testInstances0.getNumAttributes());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(4, instances0.numAttributes());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(1, instances0.numClasses());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n \n double[] doubleArray0 = new double[9];\n doubleArray0[0] = (double) 2;\n doubleArray0[1] = (double) (-2);\n RandomForest randomForest0 = new RandomForest();\n assertNotNull(randomForest0);\n assertEquals(\"Print the individual trees in the output\", randomForest0.printTreesTipText());\n assertEquals(Double.NaN, randomForest0.measureOutOfBagError(), 0.01);\n assertEquals(0, randomForest0.getNumFeatures());\n assertFalse(randomForest0.getPrintTrees());\n assertEquals(1, randomForest0.getNumExecutionSlots());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", randomForest0.debugTipText());\n assertEquals(\"The number of execution slots (threads) to use for constructing the ensemble.\", randomForest0.numExecutionSlotsTipText());\n assertEquals(0, randomForest0.getMaxDepth());\n assertFalse(randomForest0.getDebug());\n assertEquals(\"The random number seed to be used.\", randomForest0.seedTipText());\n assertEquals(\"The number of attributes to be used in random selection (see RandomTree).\", randomForest0.numFeaturesTipText());\n assertEquals(\"The number of trees to be generated.\", randomForest0.numTreesTipText());\n assertEquals(10, randomForest0.getNumTrees());\n assertEquals(\"The maximum depth of the trees, 0 for unlimited.\", randomForest0.maxDepthTipText());\n assertEquals(1, randomForest0.getSeed());\n \n MockRandom mockRandom0 = new MockRandom();\n assertNotNull(mockRandom0);\n \n try { \n evaluation0.crossValidateModel((Classifier) regressionByDiscretization0, instances0, 2, (Random) mockRandom0, (Object[]) testInstances0.DEFAULT_WORDS);\n fail(\"Expecting exception: ClassCastException\");\n \n } catch(ClassCastException e) {\n //\n // java.lang.String cannot be cast to weka.classifiers.evaluation.output.prediction.AbstractOutput\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"745cf64643086ece5d50f5d92b6359ff","score":"0.6421383","text":"@Test(timeout = 4000)\n public void test70() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(regressionByDiscretization0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(capabilities0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(testInstances0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumClasses());\n \n Enumeration enumeration0 = testInstances0.listOptions();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(enumeration0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumClasses());\n \n Instances instances0 = testInstances0.generate(\"weka/core/Capabilities.props\");\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(instances0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(20, instances0.size());\n assertEquals(1, instances0.numClasses());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(4, instances0.numAttributes());\n \n MockRandom mockRandom0 = new MockRandom();\n assertNotNull(mockRandom0);\n \n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(evaluation0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getClassType());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(20, instances0.size());\n assertEquals(1, instances0.numClasses());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(4, instances0.numAttributes());\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(0.0, evaluation0.correct(), 0.01);\n \n try { \n evaluation0.KBRelativeInformation();\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // Can't compute K&B Info score: class numeric!\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"b005af55cbcaed7b685f4b7b77cb58b4","score":"0.6400413","text":"@Test(timeout = 4000)\n public void test06() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanPriorEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n \n evaluation0.getHeader();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","title":""},{"docid":"af7b9fc1b275132bf76307e72999c796","score":"0.63941586","text":"@Test(timeout = 4000)\n public void test57() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertNotNull(regressionByDiscretization0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertNotNull(capabilities0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(testInstances0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getClassType());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n \n Instances instances0 = testInstances0.generate(\"|J\");\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(instances0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getClassType());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(1, instances0.numClasses());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(20, instances0.numInstances());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(evaluation0);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getClassType());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(1, instances0.numClasses());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n \n evaluation0.addNumericTrainClass((-38.633626237796), 2);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(0, testInstances0.getClassType());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(1, instances0.numClasses());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n \n try { \n evaluation0.toMatrixString(\"weka/core/Capabilities.props\");\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // Evaluation: No confusion matrix possible!\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"de45aa0c400a7327b17abfcc5197d924","score":"0.6391406","text":"@Test(timeout = 4000)\n public void test78() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(regressionByDiscretization0);\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(capabilities0);\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(testInstances0);\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(2, testInstances0.getNumClasses());\n assertFalse(testInstances0.getNoClass());\n assertEquals(4, testInstances0.getNumAttributes());\n \n Instances instances0 = testInstances0.generate(\" \");\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(instances0);\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(2, testInstances0.getNumClasses());\n assertFalse(testInstances0.getNoClass());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(4, instances0.numAttributes());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(evaluation0);\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(2, testInstances0.getNumClasses());\n assertFalse(testInstances0.getNoClass());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(4, instances0.numAttributes());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n \n double[] doubleArray0 = new double[9];\n doubleArray0[0] = (double) 2;\n doubleArray0[1] = (double) (-2);\n doubleArray0[2] = (double) 1;\n doubleArray0[3] = (double) 0;\n doubleArray0[5] = (double) 0;\n doubleArray0[6] = (double) 0;\n DenseInstance denseInstance0 = new DenseInstance(1, doubleArray0);\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\n assertNotNull(denseInstance0);\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\n assertEquals(1.0, denseInstance0.weight(), 0.01);\n assertEquals(9, denseInstance0.numAttributes());\n assertEquals(9, denseInstance0.numValues());\n assertEquals(9, doubleArray0.length);\n \n ConverterUtils.DataSource converterUtils_DataSource0 = new ConverterUtils.DataSource(instances0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(converterUtils_DataSource0);\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(2, testInstances0.getNumClasses());\n assertFalse(testInstances0.getNoClass());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(4, instances0.numAttributes());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertFalse(converterUtils_DataSource0.isIncremental());\n \n DenseInstance denseInstance1 = (DenseInstance)converterUtils_DataSource0.nextElement(instances0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\n assertNotNull(denseInstance1);\n assertFalse(denseInstance1.equals((Object)denseInstance0));\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(2, testInstances0.getNumClasses());\n assertFalse(testInstances0.getNoClass());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(4, instances0.numAttributes());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertFalse(converterUtils_DataSource0.isIncremental());\n assertEquals(4, denseInstance1.numValues());\n assertEquals(4, denseInstance1.numAttributes());\n assertEquals(1, denseInstance1.numClasses());\n assertEquals(3, denseInstance1.classIndex());\n assertEquals(1.0, denseInstance1.weight(), 0.01);\n assertNotSame(denseInstance1, denseInstance0);\n \n double double0 = evaluation0.evaluationForSingleInstance(doubleArray0, denseInstance1, true);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\n assertEquals(2.0, double0, 0.01);\n assertFalse(denseInstance1.equals((Object)denseInstance0));\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(2, testInstances0.getNumClasses());\n assertFalse(testInstances0.getNoClass());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(4, instances0.numAttributes());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(189.1252955549109, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(189.1252955549109, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(0.0, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(0.5287499998696148, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(1.0, evaluation0.numInstances(), 0.01);\n assertEquals(0.0, evaluation0.avgCost(), 0.01);\n assertEquals(0.0, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.pctIncorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(1.0, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(1.0, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(1.0, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.5287499998696148, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.pctUnclassified(), 0.01);\n assertFalse(converterUtils_DataSource0.isIncremental());\n assertEquals(4, denseInstance1.numValues());\n assertEquals(4, denseInstance1.numAttributes());\n assertEquals(1, denseInstance1.numClasses());\n assertEquals(3, denseInstance1.classIndex());\n assertEquals(1.0, denseInstance1.weight(), 0.01);\n assertEquals(9, doubleArray0.length);\n assertNotSame(denseInstance1, denseInstance0);\n \n String string0 = evaluation0.toSummaryString(\"weka/core/Capabilities.props\", true);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(string0);\n assertEquals(\"weka/core/Capabilities.props\\nCorrelation coefficient 0 \\nClass complexity | order 0 0 bits 0 bits/instance\\nClass complexity | scheme 0 bits 0 bits/instance\\nComplexity improvement (Sf) 0 bits 0 bits/instance\\nMean absolute error 1 \\nRoot mean squared error 1 \\nRelative absolute error 189.1253 %\\nRoot relative squared error 189.1253 %\\nCoverage of cases (0.95 level) 0 %\\nMean rel. region size (0.95 level) 0 %\\nTotal Number of Instances 1 \\n\", string0);\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(2, testInstances0.getNumClasses());\n assertFalse(testInstances0.getNoClass());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(4, instances0.numAttributes());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(189.1252955549109, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(189.1252955549109, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(0.0, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(0.5287499998696148, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(1.0, evaluation0.numInstances(), 0.01);\n assertEquals(0.0, evaluation0.avgCost(), 0.01);\n assertEquals(0.0, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(0.0, evaluation0.pctIncorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(1.0, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(0.0, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(1.0, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(1.0, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.5287499998696148, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.pctUnclassified(), 0.01);\n \n try { \n CostMatrix.parseMatlab(\" \");\n fail(\"Expecting exception: StringIndexOutOfBoundsException\");\n \n } catch(StringIndexOutOfBoundsException e) {\n }\n }","title":""},{"docid":"ce0fcc52279fed26cf36d3be64d1f417","score":"0.63573897","text":"@Test(timeout = 4000)\n public void test33() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(regressionByDiscretization0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(capabilities0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(testInstances0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getMultiInstance());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getClassType());\n \n Instances instances0 = testInstances0.generate(\"|J\");\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(instances0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getMultiInstance());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getClassType());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(evaluation0);\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertFalse(testInstances0.getMultiInstance());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getClassType());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n \n // Undeclared exception!\n try { \n evaluation0.weightedFalsePositiveRate();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"2113c80e5e564dc932231cc3351b5ea5","score":"0.62897533","text":"@Test(timeout = 4000)\n public void test15() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n MockRandom mockRandom0 = new MockRandom();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.equals(textDirectoryLoader0);\n assertFalse(boolean0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","title":""},{"docid":"4c07843562d99d336b1f0c55b1c869a8","score":"0.6283203","text":"public void doTestWithClamping() throws Exception {\n\t\ttotalToks = 0;\n rightToks = 0;\n int flag1 = 0;\n //String combo = \"pubmed_cluster6\";\n //String comboNum = \"5\";\n String filename = \"xPubMed_ByHighestEntropy_t0l0l1l1_totalEntropy_3.csv\";\n \n \n \n //TreeMap<Integer, Integer> NodeCountMap = new TreeMap<Integer, Integer>();\n\t\t\n\t\t//Initialize List of CRFoutput to be sorted\n\t\t//CRFoutput = new ArrayList<CRFoutput>();\n\n CRFoutput CRFout = new CRFoutput();\n\t\t\n\t\t//Make output directory\n\t\tString outDirec = \"out2\";\n File dir = new File(baseDir + \"/\" + outDirec + \"/\" + outDir);\n\t\tdir.mkdirs();\n\t\t\n\t\t//Opens file that will read in tagged test data\n//\t\tTestData testData = new TestData(baseDir + \"/data/\" + inName + \"/\"\n//\t\t\t\t+ inName + \".test\", delimit, impDelimit, groupDelimit);\n TestData testData = new TestData(baseDir + \"/data/PubMed_HighEntropy/\" \n + filename + \".test\", delimit, impDelimit, groupDelimit);\n\t\t\n\t\t//Writes a tagged exp test in the same format as the tagged data\n//\t\tTestDataWrite tdw = new TestDataWrite(baseDir + \"/\" + outDirec + \"/\" + outDir + \"/\"\n//\t\t\t\t+ \"tempTagged\" + \".test\", baseDir + \"/data/\" + inName + \"/\"\n//\t\t\t\t+ inName + \".test\", delimit, tagDelimit, impDelimit, labelMap);\n TestDataWrite tdw = new TestDataWrite(baseDir + \"/\" + outDirec + \"/\" + outDir + \"/\"\n\t\t\t\t+ \"tempTagged\" + \".test\", baseDir + \"/data/PubMed_HighEntropy/\"\n\t\t\t\t+ filename + \".test\", delimit, tagDelimit, impDelimit, labelMap);\n\n\t\t//Reads in the original tagged testing set\n//\t\tTrainData taggedTestData = DataCruncher.readTagged(nlabels, baseDir\n//\t\t\t\t+ \"/data/\" + inName + \"/\" + inName + \".test\", baseDir\n//\t\t\t\t+ \"/data/\" + inName + \"/\" + inName + \".test\", delimit,\n//\t\t\t\ttagDelimit, impDelimit, labelMap);\n TrainData taggedTestData = DataCruncher.readTagged(nlabels, baseDir\n\t\t\t\t+ \"/data/PubMed_HighEntropy/\" + filename + \".test\", baseDir\n\t\t\t\t+ \"/data/PubMed_HighEntropy/\" + filename + \".test\", delimit,\n\t\t\t\ttagDelimit, impDelimit, labelMap);\n\n\t\t//testRecord holds String arrays of tagged data organized by tags \n String collect[] = new String[nlabels];\n\t\tTestRecord testRecord = new TestRecord(collect);\n \n //Create structures for storing information about top clusters\n String citation;\n Hashtable<Integer, ArrayList<String>> topClusters = new Hashtable<Integer, ArrayList<String>>();\n \n //Initialize files to be written\n f = new FileWriter(baseDir + \"/CRFoutput2.csv\", false);\n f2 = new FileWriter(baseDir + \"/citationTable2.csv\", false);\n f3 = new FileWriter(baseDir + \"/labelTable2.csv\", false);\n\n //facc = new FileWriter(baseDir + \"/data/PubMed_HighEntropy/clamped_\" + combo + \"_\" + comboNum\n //+ \".csv\", false);\n facc = new FileWriter(baseDir + \"/data/PubMed_HighEntropy/clamped_\" + filename,false);\n \n \n //Read in top clusters to be clamped and add to Hashtable\n FileInputStream fInStream = new FileInputStream(baseDir + \"/data/PubMed_HighEntropy/\" + filename); \n DataInputStream in = new DataInputStream(fInStream);\n\t\tBufferedReader br = new BufferedReader(new InputStreamReader(in)); \n// String algorithm = br.readLine();\n while ((citation = br.readLine()) != null) {\n StringTokenizer strTok = new StringTokenizer(citation,\",\");\n //if (strTok.countTokens()!=7){\n\t\t\t//throw new Exception (\"Expected 7 tokens in CSV line, got \"+ strTok.countTokens());\n //}\n //Relative cluster ID (not needed)\n String relClusterID = strTok.nextToken();\n int citID = Integer.parseInt(strTok.nextToken().trim());\n ArrayList<String> clusterValues = new ArrayList<String>();\n for (int idx=0; idx<4; idx++) {\n clusterValues.add(idx,strTok.nextToken().replaceAll(\"\\\"\",\"\"));\n }\n clusterValues.add(4,relClusterID);\n \n topClusters.put(citID, clusterValues); \n }\n \n\t\tint instance = 1;\n\t\t\n \n \n\t\t//Loop takes in tagged data record by record\n\t\t// seq[] is an array of tokens\n for (String seq[] = testData.nextRecord(); seq != null && seq.length != 0; seq = testData\n\t\t\t\t.nextRecord()) {\n\t\t\t\n //Print timestamp\n System.out.println(\"CURRENT TIME IS: \" + System.currentTimeMillis() + \" \" + instance + \"\\n\");\n \n //Create tokenized record object\n\t\t\ttestRecord.init(seq);\n \n //Set values for output classes, CRFout and CitationTable\n \n CRFout.setCitationID(instance);\n CRFout.setSeqs(seq);\n \n FileInputStream fInStream2 = new FileInputStream(baseDir + \"/data/PubMed_HighEntropy/\" + filename); \n DataInputStream in2 = new DataInputStream(fInStream2);\n BufferedReader br2 = new BufferedReader(new InputStreamReader(in2));\n for (int line=0; line<instance; line++) {\n citation = br2.readLine();\n }\n StringTokenizer strTok = new StringTokenizer(citation,\",\");\n String relClusterID = strTok.nextToken();\n int citID = Integer.parseInt(strTok.nextToken().trim());\n \n //CitationTable citTable = new CitationTable(instance, testData.line);\n CitationTable citTable = new CitationTable(citID, testData.line);\n\t\t\t\n\t\t\tif (options.getInt(\"debugLvl\") > 1) {\n\t\t\t\t//Util.printDbg(\"Invoking segment on \" + seq);\n\t\t\t}\n\n // token[] is an array of labels for seq[]\n\t\t\tint[] token = allLabels(taggedTestData.nextRecord()); \n \n \n CRFout.setToks(token);\n\n//\t\t\ttdw = new TestDataWrite(baseDir + \"/\" + outDirec + \"/\" + outDir + \"/\" + inName\n//\t\t\t\t\t+ \".test\", baseDir + \"/data/\" + inName + \"/\" + inName\n//\t\t\t\t\t+ \".test\", delimit, tagDelimit, impDelimit, labelMap);\n tdw = new TestDataWrite(baseDir + \"/\" + outDirec + \"/\" + outDir + \"/\" + inName\n\t\t\t\t\t+ \".test\", baseDir + \"/data/PubMed_HighEntropy/\" + filename\n\t\t\t\t\t+ \".test\", delimit, tagDelimit, impDelimit, labelMap);\n\n\t\t\t/* Without Clamping */\n //Use raw record and CRF model to populate collect array with path labels\n\t\t\tint path[] = segment(testRecord, testData.groupedTokens(), collect);\n\t\t\t/////////////////////\n\n\t\t\t//for (int ii = 1; ii < path.length; ii++) {\n\t\t\t//\tSystem.out.println (path[ii] + \" \");\n\t\t\t//}\n\t\t\t//System.out.println(\"\\n\");\n\t\t\t\n\t\t\ttdw.writeRecord(path, testRecord.length(), instance);\n\t\t\ttdw.close();\n \n //Sunny code: outputting tokens?\n//\t\t\tTestDataWrite tdw1 = new TestDataWrite(baseDir + \"/data/\" + inName + \"/\"\n//\t\t\t\t\t+ \"tempTagged2\" + \".test\", baseDir + \"/data/\" + inName + \"/\"\n//\t\t\t\t\t+ inName + \".test\", delimit, tagDelimit, impDelimit,\n//\t\t\t\t\tlabelMap);\n TestDataWrite tdw1 = new TestDataWrite(baseDir + \"/data/\" + inName + \"/\"\n\t\t\t\t\t+ \"tempTagged2\" + \".test\", baseDir + \"/data/PubMed_HighEntropy/\" \n\t\t\t\t\t+ filename + \".test\", delimit, tagDelimit, impDelimit,\n\t\t\t\t\tlabelMap);\n\n\t\t\ttdw1.writeRecord(token, token.length, instance);\n\t\t\ttdw1.close();\n \n if (flag1==1) {\n //Computing and determining all marginals\n Marginals marginal = new Marginals(crfModel, testRecord, null);\n marginal.compute();\n marginal.printBetaVector();\n marginal.computeMarginal();\n marginal.normalize();\n //marginal.printNormalized();\n marginal.calculateEntropy(method);\n //System.out.println(\"\\n\");\n\n //Compute entropy\n Double[][] totalMarginal = new Double[token.length][nlabels];\n double[] ent = new double[token.length];\n for (int i=0; i<token.length; i++) {\n Double[] marg = new Double[nlabels];\n marg = marginal.getMarginalProb(i);\n System.arraycopy(marg, 0, totalMarginal[i], 0, nlabels);\n ent[i] = marginal.getEntropy(i);\n }\n\n //Set Marginal and Entropy values\n CRFout.setTotalMarginal(totalMarginal);\n CRFout.setEntropy(ent);\n }\n\t\t\t///////////////\n\t\t\t//NodeCountMap.put(instance, marginal.numHighEntropyNodes(0.2));\n\t\t\t//////////////\n\t\t\t\n\t\t\t\n\t\t\t//////////////\n\t\t\t//double THRESH = 0.2;\n\t\t\t//turkerData.add(new TurkerData(rawline, seq, marginal\n\t\t\t//\t\t.getNumMaxEntropyNodes(THRESH), marginal.getMaxEntropyNode()));\n\t\t\t/////////////\n\t\t\t\n\t\t\t// marginal.printEntropy();\n\n\t\t\t// f.write(marginal.getMaxEntropyNode() + \" \");\n\t\t\t\n\t\t\t\n\t\t\t/* without clamping */\n\t\t\t/*Exp 2*/\n\t\t\t/////////////////////////////////////////////////////////////////////////////////////\n\t\t\t////////////////////////////////////////////////////////////////////////////////////\n\t\t\t//double f1Score = calcWith(testRecord);\n\t\t\tdouble f1Before = calcWith(testRecord);\n\t\t\t////////////////////////////////////////////////////////////////////////////////////\n\t\t\t////////////////////////////////////////////////////////////////////////////////////\n\n\t\t\tdouble[] f1 = new double[token.length]; \n\t\t\t\n\t\t\t/* clamping */\n\t\t\t//System.out.println(\"Length:\" + token.length);\n\t\t\t\n// TrainData tdMan = DataCruncher.readTagged(nlabels, baseDir + \"/data/\"\n//\t\t\t\t+ inName + \"/\" + \"tempTagged2\" + \".test\", baseDir + \"/data/\"\n//\t\t\t\t+ inName + \"/\" + inName + \".test\", delimit, tagDelimit,\n//\t\t\t\timpDelimit, labelMap);\n// TrainData tdAuto = DataCruncher.readTagged(nlabels, baseDir + \"/\" + outDirec + \"/\"\n//\t\t\t\t+ outDir + \"/\" + inName + \".test\", baseDir + \"/data/\" + inName\n//\t\t\t\t+ \"/\" + inName + \".test\", delimit, tagDelimit, impDelimit,\n//\t\t\t\tlabelMap);\n TrainData tdMan = DataCruncher.readTagged(nlabels, baseDir + \"/data/\"\n\t\t\t\t+ inName + \"/\" + \"tempTagged2\" + \".test\", baseDir + \"/data/PubMed_HighEntropy/\"\n\t\t\t\t+ filename + \".test\", delimit, tagDelimit,\n\t\t\t\timpDelimit, labelMap);\n TrainData tdAuto = DataCruncher.readTagged(nlabels, baseDir + \"/\" + outDirec + \"/\"\n\t\t\t\t+ outDir + \"/\" + inName + \".test\", baseDir + \"/data/PubMed_HighEntropy/\"\n\t\t\t\t+ filename + \".test\", delimit, tagDelimit, impDelimit,\n\t\t\t\tlabelMap);\n \n //Accuracy Calculation for Clamping\n// for (int idx=0; idx<tdAuto.size(); idx++) {\n// TrainRecord trMan = tdMan.nextRecord();\n// TrainRecord trAuto = tdAuto.nextRecord();\n// //if (idx==(CRFout.citationID-1)) {\n// int tokenMan[] = allLabels(trMan);\n// int tokenAuto[] = allLabels(trAuto);\n// CRFout.setTrueLabels(tokenMan);\n// CRFout.setAutoLabels(tokenAuto);\n// for (int idx2=0; idx2<tokenMan.length; idx2++) {\n// totalToks++;\n// if (tokenMan[idx2]==tokenAuto[idx2])\n// rightToks++;\n// }\n// //}\n// }\n \n///////////////////////////////////////////////////////////////////////////////////////////////\n/////\n/////\n///// CLAMPING CODE\n/////\n///// Clamping Plan: \n//// 1. Read in list of selected citations and tokens to be clamped\n//// 2. Only clamp if citationID is in list\n/////////////////////////////////////////////////////////////////////////////////////////////// \n \n \n if (topClusters.containsKey(citTable.citationID)) {\n ArrayList<String> citValues = topClusters.get(citTable.citationID);\n \n FileInputStream fInStream3 = new FileInputStream(baseDir + \"/data/PubMed_HighEntropy/\" \n + filename + \".test.raw\"); \n DataInputStream in3 = new DataInputStream(fInStream3);\n BufferedReader br3 = new BufferedReader(new InputStreamReader(in3));\n for (int line=0; line<instance; line++) {\n citation = br3.readLine();\n }\n StringTokenizer tok = new StringTokenizer(citation.toLowerCase(),\n \" \", true);\n \n //FIGURE OUT TOKEN POSITION FROM CHARACTER POSITION HERE\n if (instance==26) \n {\n System.out.println(\"STOP\");\n }\n int fflag = 1;\n int charPos = Integer.parseInt(citValues.get(0).trim());\n int charLength = 0;\n int pos = 0;\n while (charLength < charPos) {\n //System.out.println(CRFout.seqs.length);\n// if(pos<CRFout.seqs.length) {\n// charLength += CRFout.seqs[pos].length() + 1;\n// pos++;\n// }\n if (tok.hasMoreTokens()) {\n String tt = tok.nextToken();\n int count = StringUtils.countMatches(tt, \"-\");\n int countb = StringUtils.countMatches(tt, \"--\");\n int count2 = StringUtils.countMatches(tt, \",\");\n int count3 = StringUtils.countMatches(tt, \":\");\n \n charLength += tt.length();\n //System.out.println(tt);\n if (!tt.equals(\" \"))\n pos++;\n for (int i=0; i<(count-2*countb); i++) {\n pos++;\n }\n for (int i=0; i<countb; i++) {\n pos++;\n }\n for (int i=0; i<count2; i++) {\n pos++;\n }\n }\n else{\n break;\n }\n }\n \n\n// path = segment(testRecord, testData.groupedTokens(), collect,pos, \n// Integer.parseInt(citValues.get(2).trim()));\n \n //Convert from text to truth label\n String lab = citValues.get(2).toLowerCase().trim();\n int label = -1;\n// if (lab.equals(\"title\")) {\n// label = 0;\n// }\n// else if (lab.equals(\"author\")) {\n// label = 1;\n// }\n// else if (lab.equals(\"conference\")) {\n// label = 2;\n// }\n// else if (lab.equals(\"isbn\")) {\n// label = 3;\n// }\n// else if (lab.equals(\"publisher\")) {\n// label = 4;\n// }\n// else if (lab.equals(\"series\")) {\n// label = 5;\n// }\n// else if (lab.equals(\"proceedings\")) {\n// label = 6;\n// }\n// else if (lab.equals(\"year\")) {\n// label = 7;\n// }\n \n if (lab.equals(\"title\")) {\n label = 0;\n }\n else if (lab.equals(\"source\")) {\n label = 1;\n }\n else if (lab.equals(\"author\")) {\n label = 2;\n }\n else if (lab.equals(\"issue\")) {\n label = 3;\n }\n else if (lab.equals(\"volume\")) {\n label = 4;\n }\n else if (lab.equals(\"pages\")) {\n label = 5;\n }\n else if (lab.equals(\"year\")) {\n label = 6;\n }\n \n path = segment(testRecord, testData.groupedTokens(), collect, pos, label);\n\n //FileWriter testf = new FileWriter(baseDir + \"/data/testf.txt\", true);\n \n //testf.write(citValues.get(3) + \" - \" + CRFout.seqs[pos] + \"\\n\");\n //testf.close();\n }\n //\t\t\tfor (int i = 0; i < token.length; i++) {\n//\t\t\t\tif (i == marginal.getMaxEntropyNode()) {\n//\t\t\t\t\ttdw1 = new TestDataWrite(baseDir + \"/data/\" + inName + \"/\"\n//\t\t\t\t\t\t+ \"tempTagged\" + \".test\", baseDir + \"/data/\" + inName\n//\t\t\t\t\t\t+ \"/\" + inName + \".test\", delimit, tagDelimit,\n//\t\t\t\t\t\timpDelimit, labelMap);\n//\n//\t\t\t\t\ttdw1.writeRecord(token, token.length, instance);\n//\t\t\t\t\ttdw1.close();\n//\n//\t\t\t\t\t/* With Clamping */\n//\t\t\t\t\t\n//\t\t\t\t\tif (i==0) {\n//\t\t\t\t\t\tpath = segment(testRecord, testData.groupedTokens(), collect,\n//\t\t\t\t\t\t\t\ti, token[i], token[i+1],1);\n//\t\t\t\t\t}\n//\t\t\t\t\telse if (i==token.length) {\n//\t\t\t\t\t\tpath = segment(testRecord, testData.groupedTokens(), collect,\n//\t\t\t\t\t\t\t\ti, token[i-1], token[i],1);\n//\t\t\t\t\t}\n//\t\t\t\t\telse {\n//\t\t\t\t\t\t////////////////////\n//\t\t\t\t\t\tpath = segment(testRecord, testData.groupedTokens(), collect,\n//\t\t\t\t\t\t\t\ti, token[i], token[i-1], token[i+1]);\n//\t\t\t\t\t\t////////////////////\n//\t\t\t\t\t}\n// \t\t\tTestDataWrite tdw2 = new TestDataWrite(baseDir + \"/\" + outDirec + \"/\" + outDir + \"/\"\n//\t\t\t\t\t\t+ inName + \".test\", baseDir + \"/data/\" + inName + \"/\"\n//\t\t\t\t\t\t+ inName + \".test\", delimit, tagDelimit, impDelimit,\n//\t\t\t\t\t\tlabelMap);\n TestDataWrite tdw2 = new TestDataWrite(baseDir + \"/\" + outDirec + \"/\" + outDir + \"/\"\n\t\t\t\t\t\t+ inName + \".test\", baseDir + \"/data/PubMed_HighEntropy/\" \n\t\t\t\t\t\t+ filename + \".test\", delimit, tagDelimit, impDelimit,\n\t\t\t\t\t\tlabelMap);\n\t\t\t\t\ttdw2.writeRecord(path, testRecord.length(), instance);\n\t\t\t\t\ttdw2.close();\n//\n\t\t\t\t\tdouble f1After = calcWith(testRecord);\n//\t\t\t\t\n//\t\t\t\t\n//\t\t\t\t// Prints the accuracy after clamping the maximum entropy node //\n//\t\t\t\t\n//\t\t\t\t\t//f.write(f1[i] + \" \");\n//\t\t\t\t\tMarginals _marginal = new Marginals(crfModel, testRecord,\n//\t\t\t\t\t\t\tnull);\n//\t\t\t\t\t_marginal.compute(i, token[i]);\n//\t\t\t\t\t_marginal.computeMarginal();\n//\t\t\t\t\t_marginal.normalize();\n//\t\t\t\t\t_marginal.calculateEntropy(i,method);\n//\t\t\t\t\t//f.write(_marginal.averageEntropy() + \" \");\n//\t\t\t\t\t/////////////////////////////////////////////////////////////////////////////////////\n//\t\t\t\t\t////////////////////////////////////////////////////////////////////////////////////\n//\t\t\t\t\tdouble THRESH = 0.13;\n//\t\t\t\t\tdouble f1After = calcWith(testRecord);\n//\t\t\t\t\t\n//\t\t\t\t\t\t\t//marginal.getNumMaxEntropyNodes(THRESH) + \" \");\n//\t\t\t\t\t//////////////\n//\t\t\t\t\t\n//\t\t\t\t\tturkerData.add(new TurkerData(rawline, seq, marginal\n//\t\t\t\t\t\t\t.getNumMaxEntropyNodes(THRESH), marginal.getMaxEntropyNode(),\n//\t\t\t\t\t\t\tf1Before,f1After,marginal.getEntropy(i), marginal.getNumMaxEntropyNodes(THRESH)));\n//\t\t\t\t\t/////////////\n//\t\t\t\t\t////////////////////////////////////////////////////////////////////////////////////\n//\t\t\t\t\t////////////////////////////////////////////////////////////////////////////////////\n//\t\t\t\t}\n//\t\t\t}\n\n\t\t\tinstance++;\n //////////////////////////////////////////////////////////////////////////////////////////////////// \n// f2.write(citTable.citationID + \", \\\"\" + citTable.rawText + \"\\\"\\n\");\n// for (int line=0; line<CRFout.seqs.length; line++) {\n// f.write(CRFout.citationID + \", \" \n// //+ citTable.rawText.indexOf(CRFout.seqs[line]) + \", \\\"\"\n// + line + \", \\\"\"\n// + CRFout.seqs[line] + \"\\\", \" \n// + Integer.toString(CRFout.trueLabels[line]) + \", \"\n// + Integer.toString(CRFout.autoLabels[line]) + \", \"\n// + Double.toString(CRFout.totalMarginal[line][0]) + \", \"\n// + Double.toString(CRFout.totalMarginal[line][1]) + \", \"\n// + Double.toString(CRFout.totalMarginal[line][2]) + \", \"\n// + Double.toString(CRFout.totalMarginal[line][3]) + \", \"\n// + Double.toString(CRFout.totalMarginal[line][4]) + \", \"\n// + Double.toString(CRFout.totalMarginal[line][5]) + \", \"\n// + Double.toString(CRFout.totalMarginal[line][6]) + \", \"\n// + Double.toString(CRFout.totalMarginal[line][7]) + \", \"\n// + Double.toString(CRFout.entropy[line]) + \"\\n\"\n// );\n// }\n \n// for (int line=0; line<CRFout.seqs.length; line++) {\n// f3.write(citTable.citationID + \", \"\n// + line + \", \"\n// + \"\\\"\" + CRFout.seqs[line] + \"\\\", \"\n// + CRFout.token[line] + \"\\n\");\n// }\n \n ////////////////////////////////////////////////////////////////////////////////////// \n\n int clamped = -1;\n\n if (topClusters.containsKey(citTable.citationID)) {\n clamped = 1;\n }\n else {\n clamped = 0;\n }\n \n// facc.write(citTable.citationID + \", \" + f1Before + \", \" + f1After + \", \" + clamped + \"\\n\");\n \n\n ArrayList<String> citValue = topClusters.get(citTable.citationID);\n if (citValue.size()>=4) {\n if (citValue.get(4)!=null) {\n facc.write(citTable.citationID + \", \" + f1Before + \", \" + f1After + \", \"\n + citValue.get(4) + \", \" + citValue.get(1) + \"\\n\");\n }\n }\n //if (marginal.getMaxEntropyNode() < token.length){\n\t\t\t\t//f.write(Double.toString(f1[marginal.getMaxEntropyNode()]) + \" \");\n\t\t\t//}\n\t\t\t//int count = 0;\n\n\t\t\t/* count of the number of nodes with accuracy improvement more than\n\t\t\t * that of the maximum entropy node.\n\t\t\t */\n\t\t\t//for (int i = 0; i < token.length; i++) {\n\t\t\t//\tif ((f1[marginal.getMaxEntropyNode()] <= f1[i])\n\t\t\t//\t\t\t&& (i != marginal.getMaxEntropyNode()))\n\t\t\t//\t\tcount++;\n\t\t\t//}\n\t\t\t//f.write(\"\\n\");\n\n\t\t\t//f.write(Integer.toString(count) + \"\\n\");\n\t\t}\n\t\t// tdw1.close();\n\t\t// tdw.close();\n\t\t// f.write(\"\\n\");\n\t\t\n\t\t// tdw.close();\n\t\t// testData = new TestData(baseDir + \"/data/\" + inName + \"/\" + inName\n\t\t// + \".test\", delimit, impDelimit, groupDelimit);\n\t\t// calc();\n\n\t\t//f2.write(\"\\n\\n\");\n\t\t// Sort the turkerdata\n\t\t\n//\t\tCollections.sort(turkerData, new Comparator<TurkerData>() {\n//\t\t\tpublic int compare(TurkerData data1, TurkerData data2) {\n//\t\t\t\treturn (data2.maxEntropy > data1.maxEntropy) ? 1 : 0;\n//\t\t\t}\n//\t\t});\n//\t\tdouble BUDGET = 1;\n//\t\tfor (int i=0; i<BUDGET; i++) {\n//\t\t\t//f_3.write(turkerData.get(i).beforeClampingScore + \" \" + \n//\t\t\t\t\t//turkerData.get(i).afterClampingScore + \" \" +\n//\t\t\t\t\t//turkerData.get(i).maxEntropy + \" \" +\n//\t\t\t\t\t//turkerData.get(i).maxEntropyNode + \"\\n\");\n//\t\t}\n//\t\t//f2.write(\"\\n\\n\");\n//\t\t// Sort the turkerdata\n//\t\tCollections.sort(turkerData, new Comparator<TurkerData>() {\n//\t\t\tpublic int compare(TurkerData data1, TurkerData data2) {\n//\t\t\t\treturn (data2.maxNum > data1.maxNum) ? 1 : 0;\n//\t\t\t}\n//\t\t});\n//\t\tfor (int i=0; i<BUDGET; i++) {\n//\t\t\t//f_3.write(turkerData.get(i).beforeClampingScore + \" \" + \n//\t\t\t\t\t//turkerData.get(i).afterClampingScore + \" \" +\n//\t\t\t\t\t//turkerData.get(i).maxNum + \" \" +\n//\t\t\t\t\t//turkerData.get(i).maxEntropy + \"\\n\");\n//\t\t}\n\t\t//f3.write(\"\\n\\n\");\n\t\t//generateTopK(2);\n\t\n\n\t\t\n\t\tf.close();\n f2.close();\n f3.close();\n// facc.close();\n// double acc = (double)rightToks/(double)totalToks;\n// System.out.println(\"Correct tokens: \" + rightToks);\n// System.out.println(\"Total tokens: \" + totalToks);\n// System.out.println(\"Accuracy: \" + acc);\n\t}","title":""},{"docid":"8794534ab53978d2b5179da94925dd54","score":"0.62821716","text":"@Test(timeout = 4000)\n public void test40() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(regressionByDiscretization0);\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(capabilities0);\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(testInstances0);\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n \n Instances instances0 = testInstances0.generate(\"|J\");\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(instances0);\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(3, instances0.classIndex());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.numInstances());\n assertEquals(20, instances0.size());\n \n Capabilities capabilities1 = Capabilities.forInstances(instances0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(capabilities1);\n assertFalse(capabilities1.equals((Object)capabilities0));\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(3, instances0.classIndex());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.numInstances());\n assertEquals(20, instances0.size());\n assertEquals(1, capabilities1.getMinimumNumberInstances());\n assertFalse(capabilities1.hasDependencies());\n assertNotSame(capabilities0, capabilities1);\n assertNotSame(capabilities1, capabilities0);\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(evaluation0);\n assertFalse(capabilities0.equals((Object)capabilities1));\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(4, instances0.numAttributes());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(3, instances0.classIndex());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.numInstances());\n assertEquals(20, instances0.size());\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n \n // Undeclared exception!\n try { \n evaluation0.weightedMatthewsCorrelation();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"3410295edee564fc8ea7abbae4795d97","score":"0.6277995","text":"@Test(timeout = 4000)\n public void test35() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertNotNull(regressionByDiscretization0);\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertNotNull(capabilities0);\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(testInstances0);\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumString());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n \n Instances instances0 = testInstances0.generate(\"|J\");\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(instances0);\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumString());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertNotNull(evaluation0);\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(1, testInstances0.getNumDate());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumString());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(20, instances0.size());\n assertEquals(3, instances0.classIndex());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(20, instances0.numInstances());\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n \n try { \n evaluation0.toClassDetailsString();\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // Evaluation: No per class statistics possible!\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"26167dfb76c0499357e1d7f61c627592","score":"0.62705046","text":"@Test(timeout = 4000)\n public void test42() throws Throwable {\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertNotNull(regressionByDiscretization0);\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertNotNull(capabilities0);\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(testInstances0);\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getSeed());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertFalse(testInstances0.getNoClass());\n \n Instances instances0 = testInstances0.generate(\"|J\");\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(instances0);\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getSeed());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertFalse(testInstances0.getNoClass());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(1, instances0.numClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(evaluation0);\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getSeed());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertFalse(testInstances0.getNoClass());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(1, instances0.numClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n \n double[] doubleArray0 = new double[9];\n doubleArray0[0] = (double) 2;\n doubleArray0[1] = (double) (-2);\n doubleArray0[2] = (double) 1;\n doubleArray0[3] = (double) 0;\n evaluation0.setNumericPriorsFromBuffer();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getSeed());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertFalse(testInstances0.getNoClass());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(1, instances0.numClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n \n doubleArray0[4] = (double) 2;\n doubleArray0[5] = (double) 0;\n doubleArray0[6] = (double) 0;\n DenseInstance denseInstance0 = new DenseInstance(1, doubleArray0);\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\n assertNotNull(denseInstance0);\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\n assertEquals(1.0, denseInstance0.weight(), 0.01);\n assertEquals(9, denseInstance0.numAttributes());\n assertEquals(9, denseInstance0.numValues());\n assertEquals(9, doubleArray0.length);\n \n boolean boolean0 = FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \"|J\");\n assertFalse(boolean0);\n \n double[] doubleArray1 = new double[3];\n assertFalse(doubleArray1.equals((Object)doubleArray0));\n \n doubleArray1[0] = (double) 2;\n doubleArray1[1] = (double) 2;\n doubleArray1[2] = (double) 1;\n evaluation0.updateMargins(doubleArray1, 2, 3284.69134);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertArrayEquals(new double[] {2.0, 2.0, 1.0}, doubleArray1, 0.01);\n assertFalse(doubleArray1.equals((Object)doubleArray0));\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getSeed());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertFalse(testInstances0.getNoClass());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(1, instances0.numClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(3, doubleArray1.length);\n assertNotSame(doubleArray1, doubleArray0);\n \n double double0 = evaluation0.SFMeanPriorEntropy();\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertFalse(regressionByDiscretization0.getDebug());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(20, testInstances0.getNumInstances());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getSeed());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(1, testInstances0.getNumNumeric());\n assertFalse(testInstances0.getNoClass());\n assertEquals(3, instances0.classIndex());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(1, instances0.numClasses());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n \n try { \n evaluation0.updateStatsForPredictor((-1), denseInstance0);\n fail(\"Expecting exception: RuntimeException\");\n \n } catch(RuntimeException e) {\n //\n // DenseInstance doesn't have access to a dataset!\n //\n verifyException(\"weka.core.AbstractInstance\", e);\n }\n }","title":""},{"docid":"0bed2fc034b0ebd12f4f278a525dbb87","score":"0.62626475","text":"@Test(timeout = 4000)\n public void test09() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n int[] intArray0 = new int[6];\n intArray0[3] = (-1);\n intArray0[1] = (-2);\n intArray0[2] = (-2);\n intArray0[3] = (-2);\n CostSensitiveClassifier costSensitiveClassifier0 = new CostSensitiveClassifier();\n double double0 = evaluation0.SFMeanPriorEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n \n double double1 = evaluation0.weightedRecall();\n Evaluation evaluation1 = new Evaluation(instances0);\n evaluation1.setDiscardPredictions(false);\n double double2 = evaluation0.KBRelativeInformation();\n assertEquals(0.0, double2, 0.01);\n \n evaluation0.incorrect();\n double double3 = evaluation0.weightedFalsePositiveRate();\n assertEquals(double3, double1, 0.01);\n assertEquals(Double.NaN, double3, 0.01);\n }","title":""},{"docid":"8dfaa898bc0d57d2c78fed4ed022ff1b","score":"0.62595165","text":"@Test(timeout = 4000)\n public void test14() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n \n String[] stringArray0 = new String[5];\n stringArray0[0] = \".bsi\";\n stringArray0[1] = \".arff\";\n stringArray0[2] = \"@relation\";\n Evaluation evaluation1 = new Evaluation(instances0);\n evaluation0.useNoPriors();\n assertEquals(Double.NaN, evaluation0.SFEntropyGain(), 0.01);\n }","title":""},{"docid":"93c4faac024be236e122b0991b6ffebc","score":"0.62496316","text":"float getEntropyScore();","title":""},{"docid":"ab98766dc59ea6a99ecdd14dcf840bb0","score":"0.62223434","text":"@Test(timeout = 4000)\n public void test41() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n EvoSuiteFile evoSuiteFile0 = new EvoSuiteFile(\"/home/ubuntu/wekafiles/props\");\n byte[] byteArray0 = new byte[5];\n byteArray0[0] = (byte)47;\n byteArray0[1] = (byte)47;\n byteArray0[2] = (byte)47;\n byteArray0[3] = (byte) (-82);\n byteArray0[4] = (byte)67;\n FileSystemHandling.appendDataToFile(evoSuiteFile0, byteArray0);\n Attribute attribute0 = new Attribute(\"\\\"position\\\"has unknown type\");\n Attribute attribute1 = new Attribute(\"string\");\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"string\", arrayList0, 1);\n discretize0.setInputFormat(instances0);\n discretize0.m_NumBins = 1;\n FileSystemHandling.setPermissions(evoSuiteFile0, false, false, false);\n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualWidthBinning(3);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","title":""},{"docid":"ef37b9bb94a765e015e36ca043569ed7","score":"0.62133086","text":"@Test(timeout = 4000)\n public void test49() throws Throwable {\n EvoSuiteFile evoSuiteFile0 = new EvoSuiteFile(\"/home/ubuntu/wekafiles\");\n boolean boolean0 = FileSystemHandling.shouldThrowIOException(evoSuiteFile0);\n assertTrue(boolean0);\n \n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(regressionByDiscretization0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n \n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertNotNull(capabilities0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n \n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(testInstances0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n \n Instances instances0 = testInstances0.generate(\" \");\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(instances0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(3, instances0.classIndex());\n \n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertNotNull(evaluation0);\n assertFalse(regressionByDiscretization0.getDebug());\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\n assertEquals(\"Number of bins for discretization.\", regressionByDiscretization0.numBinsTipText());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", regressionByDiscretization0.debugTipText());\n assertEquals(10, regressionByDiscretization0.getNumBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", regressionByDiscretization0.useEqualFrequencyTipText());\n assertEquals(\"Whether to minimize absolute error.\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\n assertEquals(\"The base classifier to be used.\", regressionByDiscretization0.classifierTipText());\n assertEquals(\"Whether to delete empty bins after discretization.\", regressionByDiscretization0.deleteEmptyBinsTipText());\n assertEquals(\"The density estimator to use.\", regressionByDiscretization0.estimatorTypeTipText());\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\n assertTrue(capabilities0.hasDependencies());\n assertEquals(2, capabilities0.getMinimumNumberInstances());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertFalse(testInstances0.getNoClass());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumDate());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getNumRelationalDate());\n assertEquals(4, testInstances0.getNumAttributes());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getClassType());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals((-1), testInstances0.getClassIndex());\n assertEquals(0, testInstances0.getNumString());\n assertEquals(1, testInstances0.getNumNumeric());\n assertEquals(1, testInstances0.getNumRelationalNumeric());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(4, instances0.numAttributes());\n assertEquals(20, instances0.numInstances());\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\n assertEquals(20, instances0.size());\n assertFalse(instances0.checkForStringAttributes());\n assertEquals(1, instances0.numClasses());\n assertEquals(\"Testdata\", instances0.relationName());\n assertEquals(3, instances0.classIndex());\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n \n // Undeclared exception!\n try { \n evaluation0.unweightedMicroFmeasure();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"32fb3df49ef6d9974dcba3cceab3dc68","score":"0.61819917","text":"@Test(timeout = 4000)\n public void test22() throws Throwable {\n Discretize discretize0 = new Discretize();\n double[][] doubleArray0 = new double[12][8];\n String[] stringArray0 = new String[6];\n stringArray0[0] = \"-R\";\n stringArray0[1] = \"_\";\n stringArray0[2] = \"^oR9z\";\n stringArray0[3] = \"inf\";\n stringArray0[4] = \"f3cB;\";\n discretize0.setDesiredWeightOfInstancesPerInterval(4.6);\n stringArray0[5] = \"Getting output instance\";\n discretize0.setOptions(stringArray0);\n discretize0.setUseEqualFrequency(false);\n discretize0.getRevision();\n discretize0.setMakeBinary(true);\n discretize0.m_CutPoints = doubleArray0;\n discretize0.getBinRangesString(9);\n assertTrue(discretize0.getMakeBinary());\n }","title":""},{"docid":"336a378a9c40b86dce2e16c170074c16","score":"0.6169091","text":"@Test\n public void fullCoverageTest() throws ClassNotFoundException, JMetalException {\n Solution solution ;\n for (int i = 0 ; i< solutionSetSize_; i++) {\n solution = new Solution(problem_);\n solution.setObjective(0, i);\n solution.setObjective(1, solutionSetSize_ - 1 - i);\n solutionSet1_.add(solution);\n }\n // Creating set (0.5,N), (1.5, N-1), (2.5, N-2), ... , (N-1+0.5, 1)\n for (int i = 0 ; i< solutionSetSize_; i++) {\n solution = new Solution(problem_);\n solution.setObjective(0, i+0.5);\n solution.setObjective(1, solutionSetSize_ - i);\n solutionSet2_.add(solution);\n }\n\n assertEquals(1.0, new SetCoverage().setCoverage(solutionSet1_, solutionSet2_), EPSILON) ;\n assertEquals(0.0, new SetCoverage().setCoverage(solutionSet2_, solutionSet1_), EPSILON) ;\n }","title":""},{"docid":"4d7a960047c8f95dc0ab5b57fab49540","score":"0.6133836","text":"@Test(timeout = 4000)\n public void test12() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n doubleArray0[0] = (double) 64;\n Version.MINOR = 493;\n doubleArray0[1] = 1608.2289599268;\n doubleArray0[4] = (double) 64;\n doubleArray0[3] = (double) 64;\n doubleArray0[4] = (double) 64;\n doubleArray0[5] = (double) 64;\n doubleArray0[6] = (double) 64;\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 1.0);\n double[] doubleArray1 = new double[2];\n doubleArray1[1] = (double) 64;\n double double0 = evaluation0.weightedFalseNegativeRate();\n double double1 = evaluation0.meanAbsoluteError();\n assertEquals(double1, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, double1, 0.01);\n }","title":""},{"docid":"bf65f1e543ef47aec7546efe2ffa407e","score":"0.6109458","text":"@Test\n public void vulnerableXenHypervisorProbabilityTest() {\n Sampler.isDeterministic = false;\n assertEquals(\"Did not bypass IDSs.\", 0.75, probabilityTest(new VulnerableXenHypervisorProbabilityTest()), 0.1);\n }","title":""},{"docid":"61029f039dd0c40f100ece6b9e94861d","score":"0.6108396","text":"@Test(timeout = 4000)\n public void test26() throws Throwable {\n CostSensitiveClassifier costSensitiveClassifier0 = new CostSensitiveClassifier();\n assertEquals(2, CostSensitiveClassifier.MATRIX_SUPPLIED);\n assertEquals(1, CostSensitiveClassifier.MATRIX_ON_DEMAND);\n assertNotNull(costSensitiveClassifier0);\n assertEquals(\"The random number seed to be used.\", costSensitiveClassifier0.seedTipText());\n assertFalse(costSensitiveClassifier0.getDebug());\n assertEquals(\"A metaclassifier that makes its base classifier cost-sensitive. Two methods can be used to introduce cost-sensitivity: reweighting training instances according to the total cost assigned to each class; or predicting the class with minimum expected misclassification cost (rather than the most likely class). Performance can often be improved by using a Bagged classifier to improve the probability estimates of the base classifier.\", costSensitiveClassifier0.globalInfo());\n assertEquals(\"Sets whether the minimum expected cost criteria will be used. If this is false, the training data will be reweighted according to the costs assigned to each class. If true, the minimum expected cost criteria will be used.\", costSensitiveClassifier0.minimizeExpectedCostTipText());\n assertEquals(\"Sets the directory where cost files are loaded from. This option is used when the costMatrixSource is set to \\\"On Demand\\\".\", costSensitiveClassifier0.onDemandDirectoryTipText());\n assertEquals(\"The base classifier to be used.\", costSensitiveClassifier0.classifierTipText());\n assertFalse(costSensitiveClassifier0.getMinimizeExpectedCost());\n assertEquals(1, costSensitiveClassifier0.getSeed());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", costSensitiveClassifier0.debugTipText());\n assertEquals(\"Sets the cost matrix explicitly. This matrix is used if the costMatrixSource property is set to \\\"Supplied\\\".\", costSensitiveClassifier0.costMatrixTipText());\n assertEquals(0, costSensitiveClassifier0.graphType());\n \n CostMatrix costMatrix0 = costSensitiveClassifier0.getCostMatrix();\n assertEquals(2, CostSensitiveClassifier.MATRIX_SUPPLIED);\n assertEquals(1, CostSensitiveClassifier.MATRIX_ON_DEMAND);\n assertNotNull(costMatrix0);\n assertEquals(\"The random number seed to be used.\", costSensitiveClassifier0.seedTipText());\n assertFalse(costSensitiveClassifier0.getDebug());\n assertEquals(\"A metaclassifier that makes its base classifier cost-sensitive. Two methods can be used to introduce cost-sensitivity: reweighting training instances according to the total cost assigned to each class; or predicting the class with minimum expected misclassification cost (rather than the most likely class). Performance can often be improved by using a Bagged classifier to improve the probability estimates of the base classifier.\", costSensitiveClassifier0.globalInfo());\n assertEquals(\"Sets whether the minimum expected cost criteria will be used. If this is false, the training data will be reweighted according to the costs assigned to each class. If true, the minimum expected cost criteria will be used.\", costSensitiveClassifier0.minimizeExpectedCostTipText());\n assertEquals(\"Sets the directory where cost files are loaded from. This option is used when the costMatrixSource is set to \\\"On Demand\\\".\", costSensitiveClassifier0.onDemandDirectoryTipText());\n assertEquals(\"The base classifier to be used.\", costSensitiveClassifier0.classifierTipText());\n assertFalse(costSensitiveClassifier0.getMinimizeExpectedCost());\n assertEquals(1, costSensitiveClassifier0.getSeed());\n assertEquals(\"If set to true, classifier may output additional info to the console.\", costSensitiveClassifier0.debugTipText());\n assertEquals(\"Sets the cost matrix explicitly. This matrix is used if the costMatrixSource property is set to \\\"Supplied\\\".\", costSensitiveClassifier0.costMatrixTipText());\n assertEquals(0, costSensitiveClassifier0.graphType());\n assertEquals(1, costMatrix0.numRows());\n assertEquals(1, costMatrix0.numColumns());\n assertEquals(1, costMatrix0.size());\n \n try { \n Evaluation.evaluateModel((Classifier) costSensitiveClassifier0, (String[]) null);\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // \n // Weka exception: null\n // \n // General options:\n // \n // -h or -help\n // \\tOutput help information.\n // -synopsis or -info\n // \\tOutput synopsis for classifier (use in conjunction with -h)\n // -t <name of training file>\n // \\tSets training file.\n // -T <name of test file>\n // \\tSets test file. If missing, a cross-validation will be performed\n // \\ton the training data.\n // -c <class index>\n // \\tSets index of class attribute (default: last).\n // -x <number of folds>\n // \\tSets number of folds for cross-validation (default: 10).\n // -no-cv\n // \\tDo not perform any cross validation.\n // -split-percentage <percentage>\n // \\tSets the percentage for the train/test set split, e.g., 66.\n // -preserve-order\n // \\tPreserves the order in the percentage split.\n // -s <random number seed>\n // \\tSets random number seed for cross-validation or percentage split\n // \\t(default: 1).\n // -m <name of file with cost matrix>\n // \\tSets file with cost matrix.\n // -l <name of input file>\n // \\tSets model input file. In case the filename ends with '.xml',\n // \\ta PMML file is loaded or, if that fails, options are loaded\n // \\tfrom the XML file.\n // -d <name of output file>\n // \\tSets model output file. In case the filename ends with '.xml',\n // \\tonly the options are saved to the XML file, not the model.\n // -v\n // \\tOutputs no statistics for training data.\n // -o\n // \\tOutputs statistics only, not the classifier.\n // -i\n // \\tOutputs detailed information-retrieval statistics for each class.\n // -k\n // \\tOutputs information-theoretic statistics.\n // -classifications \\\"weka.classifiers.evaluation.output.prediction.AbstractOutput + options\\\"\n // \\tUses the specified class for generating the classification output.\n // \\tE.g.: weka.classifiers.evaluation.output.prediction.PlainText\n // -p range\n // \\tOutputs predictions for test instances (or the train instances if\n // \\tno test instances provided and -no-cv is used), along with the \n // \\tattributes in the specified range (and nothing else). \n // \\tUse '-p 0' if no attributes are desired.\n // \\tDeprecated: use \\\"-classifications ...\\\" instead.\n // -distribution\n // \\tOutputs the distribution instead of only the prediction\n // \\tin conjunction with the '-p' option (only nominal classes).\n // \\tDeprecated: use \\\"-classifications ...\\\" instead.\n // -r\n // \\tOnly outputs cumulative margin distribution.\n // -g\n // \\tOnly outputs the graph representation of the classifier.\n // -xml filename | xml-string\n // \\tRetrieves the options from the XML-data instead of the command line.\n // -threshold-file <file>\n // \\tThe file to save the threshold data to.\n // \\tThe format is determined by the extensions, e.g., '.arff' for ARFF \n // \\tformat or '.csv' for CSV.\n // -threshold-label <label>\n // \\tThe class label to determine the threshold data for\n // \\t(default is the first label)\n // \n // Options specific to weka.classifiers.meta.CostSensitiveClassifier:\n // \n // -M\n // \\tMinimize expected misclassification cost. Default is to\n // \\treweight training instances according to costs per class\n // -C <cost file name>\n // \\tFile name of a cost matrix to use. If this is not supplied,\n // \\ta cost matrix will be loaded on demand. The name of the\n // \\ton-demand file is the relation name of the training data\n // \\tplus \\\".cost\\\", and the path to the on-demand file is\n // \\tspecified with the -N option.\n // -N <directory>\n // \\tName of a directory to search for cost files when loading\n // \\tcosts on demand (default current directory).\n // -cost-matrix <matrix>\n // \\tThe cost matrix in Matlab single line format.\n // -S <num>\n // \\tRandom number seed.\n // \\t(default 1)\n // -D\n // \\tIf set, classifier is run in debug mode and\n // \\tmay output additional info to the console\n // -W\n // \\tFull name of base classifier.\n // \\t(default: weka.classifiers.rules.ZeroR)\n // \n // Options specific to classifier weka.classifiers.rules.ZeroR:\n // \n // -D\n // \\tIf set, classifier is run in debug mode and\n // \\tmay output additional info to the console\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"dbf23642f7a8d6ef5c80b9c43e055b6a","score":"0.6093524","text":"public double entropyPotential() {\n \n return (-1.0);\n}","title":""},{"docid":"e46fd90c4497bf2ddeccf61edf80ef95","score":"0.6091422","text":"@Test(timeout = 4000)\n public void test32() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Attribute attribute0 = new Attribute(\".ycf\");\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"string\", arrayList0, 2);\n boolean boolean0 = discretize0.setInputFormat(instances0);\n assertFalse(boolean0);\n \n discretize0.calculateCutPoints();\n String string0 = discretize0.getBinRangesString(0);\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertEquals(\"All\", string0);\n assertFalse(discretize0.getUseEqualFrequency());\n }","title":""},{"docid":"65411f74542c5574bbbeaf6a426d4acd","score":"0.6065099","text":"@Test\n public void testAutomated_readability_index() {\n System.out.println(\"automated_readability_index\");\n String strText = TEST_STRING;\n double expResult = 143.2;\n double result = ReadabilityStatistics.automated_readability_index(strText);\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\n }","title":""},{"docid":"02b932cbca7aef4bd7591c0fec257d46","score":"0.60606086","text":"@org.junit.Test(timeout = 10000)\n public void testGetFalsePositiveProbability_cf7590() {\n // These probabilities are taken from the bloom filter probability table at\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\n java.lang.System.out.println(\"expectedFalsePositiveProbability\");\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\n double expResult = 0.00819;// m/n=10, k=7\n \n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\n expResult = 0.00819;// m/n=10, k=7\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\n expResult = 0.393;// m/n=2, k=1\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\n expResult = 0.00509;// m/n=11, k=8\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\n org.junit.Assert.assertEquals(8, instance.getHashCount());\n // StatementAdderOnAssert create random local variable\n byte[] vc_1543 = new byte []{109,86,75};\n // StatementAddOnAssert local variable replacement\n com.clearspring.analytics.stream.membership.BloomFilter mergeBf = ((com.clearspring.analytics.stream.membership.BloomFilter) (bf2.merge(bf)));\n // AssertGenerator replace invocation\n boolean o_testGetFalsePositiveProbability_cf7590__44 = // StatementAdderMethod cloned existing statement\nmergeBf.isPresent(vc_1543);\n // AssertGenerator add assertion\n org.junit.Assert.assertFalse(o_testGetFalsePositiveProbability_cf7590__44);\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\n }","title":""},{"docid":"708da27346521e23389bff04cd38abd6","score":"0.60372037","text":"public double getCoverage() {\n return ((double) numExamplesParsed) / numExamples;\n }","title":""},{"docid":"9ed4a1833deeb64b30ee9b91689a19a7","score":"0.6031614","text":"@org.junit.Test(timeout = 10000)\n public void testGetFalsePositiveProbability_cf7656() {\n // These probabilities are taken from the bloom filter probability table at\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\n java.lang.System.out.println(\"expectedFalsePositiveProbability\");\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\n double expResult = 0.00819;// m/n=10, k=7\n \n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\n expResult = 0.00819;// m/n=10, k=7\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\n expResult = 0.393;// m/n=2, k=1\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\n expResult = 0.00509;// m/n=11, k=8\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\n org.junit.Assert.assertEquals(8, instance.getHashCount());\n // StatementAdderOnAssert create random local variable\n byte[] vc_1575 = new byte []{};\n // StatementAdderMethod cloned existing statement\n instance.add(vc_1575);\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)instance).getHashCount(), 8);\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)instance).buckets(), 192);\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\n }","title":""},{"docid":"bc90dd8287d24db0509443bd8ce5753f","score":"0.601703","text":"@Override\n public double getFeatureCoverage() {\n return featureCoverage_;\n }","title":""},{"docid":"d959c3113fcf916afb48cd0d0a29eb4f","score":"0.59963477","text":"@Test\n\tpublic void testSingleCrossingScenarioEqualDemandCapacityRatio(){\n\t\tFixture fixture = new Fixture(900, 1800, 0.0, Regime.COMBINED);\n\t\tSignalAnalysisTool signalAnalyzer = new SignalAnalysisTool();\n\t\tDelayAnalysisTool generalAnalyzer = fixture.run(signalAnalyzer);\n\t\t\n\t\tMap<Id<SignalGroup>, Double> totalSignalGreenTimes = signalAnalyzer.getTotalSignalGreenTime(); \n\t\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycle = signalAnalyzer.calculateAvgSignalGreenTimePerFlexibleCycle(); \n\t\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystem = signalAnalyzer.calculateAvgFlexibleCycleTimePerSignalSystem(); \n\t\tMap<Id<Link>, Double> avgDelayPerLink = generalAnalyzer.getAvgDelayPerLink();\n\t\tDouble avgDelayWE = avgDelayPerLink.get(Id.createLinkId(\"2_3\"));\n\t\tDouble avgDelayNS = avgDelayPerLink.get(Id.createLinkId(\"7_3\"));\n\t\t\n\t\tlog.info(\"total signal green times: \" + totalSignalGreenTimes.get(signalGroupId1) + \", \" + totalSignalGreenTimes.get(signalGroupId2));\n\t\tlog.info(\"avg signal green times per cycle: \" + avgSignalGreenTimePerCycle.get(signalGroupId1) + \", \"\n\t\t\t\t+ avgSignalGreenTimePerCycle.get(signalGroupId2));\n\t\tlog.info(\"avg cycle time per system: \" + avgCycleTimePerSystem.get(signalSystemId));\n\t\tlog.info(\"avg delay per link: \" + avgDelayWE + \", \" + avgDelayNS);\n\t\t\n\t\tAssert.assertEquals(\"total signal green times should not differ more than 1%\", 1, \n\t\t\t\ttotalSignalGreenTimes.get(signalGroupId1)/totalSignalGreenTimes.get(signalGroupId2), 0.01);\n\t\tAssert.assertEquals(\"avg signal green times per cycle should not differ more than 1%\", \n\t\t\t\t1, avgSignalGreenTimePerCycle.get(signalGroupId1)/avgSignalGreenTimePerCycle.get(signalGroupId2), 0.01);\n//\t\tAssert.assertEquals(\"avg delay per vehicle per link should not differ more than 5%\", 1, avgDelayWE/avgDelayNS, 0.05);\n\t\t/* I commented the last line out because the delay strongly depends on the stabilizing regime, namely the arrival rates that are used.\n\t\t * Even if I use fixed average arrival rates of 0.5 per lane and link, the delays of both directions do not correlate.\n\t\t * Maybe that is okay since the signal green times are still the same, i.e. only the green phases are distributed differently over the simulation time...?\n\t\t * theresa, jun'2020\n\t\t */\n\t}","title":""},{"docid":"428d0516709a45c5fc51b4abdb99d48e","score":"0.59715986","text":"@Test(timeout = 4000)\n public void test54() throws Throwable {\n FileSystemHandling.setPermissions((EvoSuiteFile) null, false, false, true);\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Attribute attribute0 = new Attribute(\"\\\"position\\\" has unknown type\");\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"HuI)L44;vn \", arrayList0, 1);\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(1);\n instances0.add((Instance) binarySparseInstance0);\n discretize0.setInputFormat(instances0);\n discretize0.setUseEqualFrequency(true);\n double[] doubleArray0 = new double[1];\n doubleArray0[0] = 3800.84988;\n SparseInstance sparseInstance0 = new SparseInstance(3800.84988, doubleArray0);\n instances0.add((Instance) sparseInstance0);\n sparseInstance0.setValue(attribute0, (double) 1);\n SparseInstance sparseInstance1 = new SparseInstance(sparseInstance0);\n sparseInstance1.toString(attribute0);\n FileSystemHandling.setPermissions((EvoSuiteFile) null, false, false, false);\n binarySparseInstance0.isMissing(attribute0);\n instances0.add((Instance) sparseInstance1);\n Filter.useFilter(instances0, discretize0);\n discretize0.calculateCutPoints();\n }","title":""},{"docid":"440f20938dbec66be0dc120df7086b46","score":"0.5971292","text":"@Test\n public void testColeman_liau_index() {\n System.out.println(\"coleman_liau_index\");\n String strText = TEST_STRING;\n double expResult = 6.8;\n double result = ReadabilityStatistics.coleman_liau_index(strText);\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\n }","title":""},{"docid":"2fef099118fccfe8227481d2ccacc0b2","score":"0.59163314","text":"@Test(timeout = 4000)\n public void test10() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n doubleArray0[0] = (double) 69;\n Version.MINOR = 493;\n doubleArray0[1] = 1608.2289599268;\n doubleArray0[4] = (double) 69;\n doubleArray0[3] = (double) 69;\n doubleArray0[4] = (double) 69;\n doubleArray0[5] = (double) 69;\n doubleArray0[6] = (double) 69;\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 1.0);\n double[] doubleArray1 = new double[2];\n doubleArray1[1] = (double) 69;\n textDirectoryLoader0.getDataSet();\n Evaluation evaluation1 = new Evaluation(instances0);\n evaluation0.SFMeanPriorEntropy();\n RandomSubSpace randomSubSpace0 = new RandomSubSpace();\n String string0 = Evaluation.makeOptionString(randomSubSpace0, true);\n assertNotNull(string0);\n }","title":""},{"docid":"fb037c5d52c29724a43fe2ee14715834","score":"0.58994853","text":"@Test(timeout = 4000)\n public void test16() throws Throwable {\n String[] stringArray0 = new String[2];\n stringArray0[0] = \";C|gT,;vK_X2tBONoGI\";\n MockRandom mockRandom0 = new MockRandom(1110L);\n mockRandom0.doubles();\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate();\n MockRandom mockRandom1 = new MockRandom(3328L);\n instances0.randomize(mockRandom1);\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toCumulativeMarginDistributionString();\n evaluation0.setDiscardPredictions(false);\n evaluation0.KBRelativeInformation();\n evaluation0.incorrect();\n evaluation0.weightedFalsePositiveRate();\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n textDirectoryLoader0.getOptions();\n evaluation0.toSummaryString(true);\n AttributeSelectedClassifier attributeSelectedClassifier0 = new AttributeSelectedClassifier();\n evaluation0.SFSchemeEntropy();\n evaluation0.weightedFalseNegativeRate();\n String string1 = Evaluation.makeOptionString(attributeSelectedClassifier0, false);\n assertFalse(string1.equals((Object)string0));\n }","title":""},{"docid":"16c438cda8dc6b584d118f3877408d31","score":"0.58981955","text":"@Test(timeout = 4000)\n public void test28() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Attribute attribute0 = new Attribute(\"\\\"position\\\"has unknown type\");\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"date\", arrayList0, 2);\n discretize0.setInputFormat(instances0);\n discretize0.calculateCutPoints();\n discretize0.setOutputFormat();\n DenseInstance denseInstance0 = new DenseInstance(2);\n discretize0.input(denseInstance0);\n Random.setNextRandom(123);\n }","title":""},{"docid":"e6e29d953eb1b1ad376c668d47e7b5a4","score":"0.5894027","text":"@Override\n public double getFeatureCoverage() {\n return featureCoverage_;\n }","title":""},{"docid":"ac3be5e7e8002767a4232ee165c046f7","score":"0.5893812","text":"@Test\n public void testFlesch_kincaid_grade_level() {\n System.out.println(\"flesch_kincaid_grade_level\");\n String strText = TEST_STRING;\n double expResult = 112.3;\n double result = ReadabilityStatistics.flesch_kincaid_grade_level(strText);\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\n }","title":""},{"docid":"72d7f3d92872453d4a5d30d3b1df815f","score":"0.58857125","text":"@Test\n public void testDale_chall_grade() {\n System.out.println(\"dale_chall_grade\");\n String strText = TEST_STRING;\n double expResult = 16.0;\n double result = ReadabilityStatistics.dale_chall_grade(strText);\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\n }","title":""},{"docid":"699b81a8d533705cf81ef0fa3481b4a8","score":"0.58855385","text":"@Test\n\tpublic void testSingleCrossingScenarioLowVsHighDemandWithMinG(){\n\t\tFixture fixture = new Fixture(90, 1800, 5.0, Regime.COMBINED);\n\t\tSignalAnalysisTool signalAnalyzer = new SignalAnalysisTool();\n\t\tDelayAnalysisTool generalAnalyzer = fixture.run(signalAnalyzer);\n\t\t\n\t\tMap<Id<SignalGroup>, Double> totalSignalGreenTimes = signalAnalyzer.getTotalSignalGreenTime(); \n\t\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycle = signalAnalyzer.calculateAvgSignalGreenTimePerFlexibleCycle(); \n\t\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystem = signalAnalyzer.calculateAvgFlexibleCycleTimePerSignalSystem(); \n\t\tMap<Id<Link>, Double> avgDelayPerLink = generalAnalyzer.getAvgDelayPerLink();\n\t\tDouble avgDelayWE = avgDelayPerLink.get(Id.createLinkId(\"2_3\"));\n\t\tDouble avgDelayNS = avgDelayPerLink.get(Id.createLinkId(\"7_3\"));\n\t\t\n\t\tlog.info(\"total signal green times: \" + totalSignalGreenTimes.get(signalGroupId1) + \", \" + totalSignalGreenTimes.get(signalGroupId2));\n\t\tlog.info(\"avg signal green times per cycle: \" + avgSignalGreenTimePerCycle.get(signalGroupId1) + \", \"\n\t\t\t\t+ avgSignalGreenTimePerCycle.get(signalGroupId2));\n\t\tlog.info(\"avg cycle time per system: \" + avgCycleTimePerSystem.get(signalSystemId));\n\t\tlog.info(\"avg delay per link: \" + avgDelayWE + \", \" + avgDelayNS);\n\t\t\n\t\tAssert.assertTrue(\"total signal green time of WE-direction should be higher than NS-direction\", \n\t\t\t\ttotalSignalGreenTimes.get(signalGroupId1)-totalSignalGreenTimes.get(signalGroupId2) > 0);\n\t\tAssert.assertTrue(\"avg signal green time per cycle of WE-direction should be higher than NS-direction\", \n\t\t\t\tavgSignalGreenTimePerCycle.get(signalGroupId1)-avgSignalGreenTimePerCycle.get(signalGroupId2) > 0);\n\t\tAssert.assertEquals(\"avg signal green time per cycle of NS-direction should be the minimum green time of 5 seconds\", \n\t\t\t\t5.0, avgSignalGreenTimePerCycle.get(signalGroupId2), MatsimTestUtils.EPSILON);\n\t\tAssert.assertTrue(\"cycle time should stay below 90 seconds\", avgCycleTimePerSystem.get(signalSystemId) <= 90);\n\t\tAssert.assertTrue(\"avg delay per vehicle on WS-direction should be less than on NS-direction\", avgDelayWE<avgDelayNS);\n\t}","title":""},{"docid":"d5b2bedb3b169ac4bf6eb3651dbccb8e","score":"0.587961","text":"@Test(timeout = 4000)\n public void test35() throws Throwable {\n Discretize discretize0 = new Discretize();\n String[] stringArray0 = new String[6];\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n SystemInUtil.addInputLine(\".ycf\");\n Attribute attribute0 = new Attribute(\".ycf\", 62);\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\") can't be established.\", arrayList0, 4);\n discretize0.setInputFormat(instances0);\n discretize0.m_DesiredWeightOfInstancesPerInterval = 0.1111111111111111;\n stringArray0[0] = \") can't be established.\";\n stringArray0[1] = \") can't be established.\";\n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning(0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","title":""},{"docid":"e48c03ee221e510873da25939e63942a","score":"0.58751196","text":"@Test\n\tpublic void testSingleCrossingScenarioWithDifferentFlowCapacityFactors(){\n\t\tFixture fixtureFlowCap1 = new Fixture(360, 1800, 0.0, Regime.COMBINED);\n\t\tSignalAnalysisTool signalAnalyzerFlowCap1 = new SignalAnalysisTool();\n\t\tDelayAnalysisTool generalAnalyzerFlowCap1 = fixtureFlowCap1.run(signalAnalyzerFlowCap1);\n\t\t\n\t\tFixture fixtureFlowCap2 = new Fixture(360, 1800, 0.0, Regime.COMBINED);\n\t\tfixtureFlowCap2.doublePopulation();\n\t\tSignalAnalysisTool signalAnalyzerFlowCap2 = new SignalAnalysisTool();\n\t\tDelayAnalysisTool generalAnalyzerFlowCap2 = fixtureFlowCap2.run(signalAnalyzerFlowCap2);\n\t\t\n\t\tMap<Id<SignalGroup>, Double> totalSignalGreenTimesFlowCap2 = signalAnalyzerFlowCap2.getTotalSignalGreenTime(); \n\t\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycleFlowCap2 = signalAnalyzerFlowCap2.calculateAvgSignalGreenTimePerFlexibleCycle(); \n\t\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystemFlowCap2 = signalAnalyzerFlowCap2.calculateAvgFlexibleCycleTimePerSignalSystem(); \n\t\tMap<Id<Link>, Double> avgDelayPerLinkFlowCap2 = generalAnalyzerFlowCap2.getAvgDelayPerLink();\n\t\t\n\t\tlog.info(\"*** flow capacity 2.0 ***\");\n\t\tlog.info(\"total signal green times: \" + totalSignalGreenTimesFlowCap2.get(signalGroupId1) + \", \" + totalSignalGreenTimesFlowCap2.get(signalGroupId2));\n\t\tlog.info(\"avg signal green times per cycle: \" + avgSignalGreenTimePerCycleFlowCap2.get(signalGroupId1) + \", \"\n\t\t\t\t+ avgSignalGreenTimePerCycleFlowCap2.get(signalGroupId2));\n\t\tlog.info(\"avg cycle time per system: \" + avgCycleTimePerSystemFlowCap2.get(signalSystemId));\n\t\tlog.info(\"avg delay per link: \" + avgDelayPerLinkFlowCap2.get(Id.createLinkId(\"2_3\")) + \", \" + avgDelayPerLinkFlowCap2.get(Id.createLinkId(\"7_3\")));\n\t\tlog.info(\"Total delay: \" + generalAnalyzerFlowCap2.getTotalDelay());\n\t\t\n\t\tMap<Id<SignalGroup>, Double> totalSignalGreenTimesFlowCap1 = signalAnalyzerFlowCap1.getTotalSignalGreenTime(); \n\t\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycleFlowCap1 = signalAnalyzerFlowCap1.calculateAvgSignalGreenTimePerFlexibleCycle(); \n\t\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystemFlowCap1 = signalAnalyzerFlowCap1.calculateAvgFlexibleCycleTimePerSignalSystem(); \n\t\tMap<Id<Link>, Double> avgDelayPerLinkFlowCap1 = generalAnalyzerFlowCap1.getAvgDelayPerLink();\n\n\t\tlog.info(\"*** flow capacity 1.0 ***\");\n\t\tlog.info(\"total signal green times: \" + totalSignalGreenTimesFlowCap1.get(signalGroupId1) + \", \" + totalSignalGreenTimesFlowCap1.get(signalGroupId2));\n\t\tlog.info(\"avg signal green times per cycle: \" + avgSignalGreenTimePerCycleFlowCap1.get(signalGroupId1) + \", \"\n\t\t\t\t+ avgSignalGreenTimePerCycleFlowCap1.get(signalGroupId2));\n\t\tlog.info(\"avg cycle time per system: \" + avgCycleTimePerSystemFlowCap1.get(signalSystemId));\n\t\tlog.info(\"avg delay per link: \" + avgDelayPerLinkFlowCap1.get(Id.createLinkId(\"2_3\")) + \", \" + avgDelayPerLinkFlowCap1.get(Id.createLinkId(\"7_3\")));\n\t\tlog.info(\"Total delay: \" + generalAnalyzerFlowCap1.getTotalDelay());\n\t\t\n\t\tAssert.assertEquals(\"total signal green times should not differ\", 1, \n\t\t\t\ttotalSignalGreenTimesFlowCap1.get(signalGroupId1)/totalSignalGreenTimesFlowCap2.get(signalGroupId1), 0.01);\n\t\tAssert.assertEquals(\"total signal green times should not differ\", 1, \n\t\t\t\ttotalSignalGreenTimesFlowCap1.get(signalGroupId2)/totalSignalGreenTimesFlowCap2.get(signalGroupId2), 0.01);\n\t\tAssert.assertEquals(\"avg signal green times per cycle should not differ\", avgSignalGreenTimePerCycleFlowCap1.get(signalGroupId1), \n\t\t\t\tavgSignalGreenTimePerCycleFlowCap2.get(signalGroupId1), 0.1);\n\t\tAssert.assertEquals(\"avg signal green times per cycle should not differ\", avgSignalGreenTimePerCycleFlowCap1.get(signalGroupId2), \n\t\t\t\tavgSignalGreenTimePerCycleFlowCap2.get(signalGroupId2), 0.1);\n\t\tAssert.assertEquals(\"avg cycle time should not differ\", avgCycleTimePerSystemFlowCap1.get(signalSystemId),\n\t\t\t\tavgCycleTimePerSystemFlowCap2.get(signalSystemId), 0.1);\n\t\tAssert.assertEquals(\"avg delay per vehicle per link should not differ\", \n\t\t\t\tavgDelayPerLinkFlowCap1.get(Id.createLinkId(\"2_3\")), avgDelayPerLinkFlowCap2.get(Id.createLinkId(\"2_3\")), 0.1);\n\t\tAssert.assertEquals(\"avg delay per vehicle per link should not differ\", \n\t\t\t\tavgDelayPerLinkFlowCap1.get(Id.createLinkId(\"7_3\")), avgDelayPerLinkFlowCap2.get(Id.createLinkId(\"7_3\")), 2);\n\t\tAssert.assertEquals(\"total delay for doubled demand should be doubled\", 2, generalAnalyzerFlowCap2.getTotalDelay()/generalAnalyzerFlowCap1.getTotalDelay(), 0.1);\n\t}","title":""},{"docid":"3354ad0d6d1197be15430a0597436004","score":"0.58744055","text":"@Test\n public void testFlesch_kincaid_reading_ease() {\n System.out.println(\"flesch_kincaid_reading_ease\");\n String strText = TEST_STRING;\n double expResult = -188.4;\n double result = ReadabilityStatistics.flesch_kincaid_reading_ease(strText);\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\n }","title":""},{"docid":"1ce84876270f932f5c128633afa04df8","score":"0.5872681","text":"Reference getCoverage();","title":""},{"docid":"4c7c00d76e8bbbcbfdce051c6968e6fd","score":"0.58706814","text":"@Test\n public void test09() throws Throwable {\n Frequency frequency0 = new Frequency((Comparator) null);\n double double0 = frequency0.getPct(0L);\n frequency0.addValue(1598L);\n double double1 = frequency0.getCumPct((-2476));\n }","title":""},{"docid":"9a8de4c9a757dd1e01c8ad1ac1dfa7cc","score":"0.586664","text":"@org.junit.Test(timeout = 10000)\n public void testGetFalsePositiveProbability_cf7643_cf10382_failAssert0() {\n // AssertGenerator generate try/catch block with fail statement\n try {\n // MethodAssertGenerator build local variable\n Object o_44_1 = 150080;\n // These probabilities are taken from the bloom filter probability table at\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\n java.lang.System.out.println(\"expectedFalsePositiveProbability\");\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\n double expResult = 0.00819;// m/n=10, k=7\n \n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n // MethodAssertGenerator build local variable\n Object o_10_0 = instance.getHashCount();\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\n expResult = 0.00819;// m/n=10, k=7\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n // MethodAssertGenerator build local variable\n Object o_19_0 = instance.getHashCount();\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\n expResult = 0.393;// m/n=2, k=1\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\n // MethodAssertGenerator build local variable\n Object o_28_0 = instance.getHashCount();\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\n expResult = 0.00509;// m/n=11, k=8\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\n // MethodAssertGenerator build local variable\n Object o_37_0 = instance.getHashCount();\n // StatementAddOnAssert local variable replacement\n com.clearspring.analytics.stream.membership.BloomFilter mergeBf = ((com.clearspring.analytics.stream.membership.BloomFilter) (bf2.merge(bf)));\n // AssertGenerator replace invocation\n int o_testGetFalsePositiveProbability_cf7643__42 = // StatementAdderMethod cloned existing statement\nmergeBf.emptyBuckets();\n // MethodAssertGenerator build local variable\n Object o_44_0 = o_testGetFalsePositiveProbability_cf7643__42;\n // StatementAdderOnAssert create null value\n java.lang.String vc_2194 = (java.lang.String)null;\n // StatementAdderOnAssert create null value\n com.clearspring.analytics.stream.membership.BloomFilter vc_2192 = (com.clearspring.analytics.stream.membership.BloomFilter)null;\n // StatementAdderMethod cloned existing statement\n vc_2192.add(vc_2194);\n org.junit.Assert.fail(\"testGetFalsePositiveProbability_cf7643_cf10382 should have thrown NullPointerException\");\n } catch (java.lang.NullPointerException eee) {\n }\n }","title":""},{"docid":"61c303dff56d544a134491674e7adb34","score":"0.5865269","text":"@Test(timeout = 4000)\n public void test34() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Attribute attribute0 = new Attribute(\"vjsx8!w\");\n LinkedList<Locale.LanguageRange> linkedList0 = new LinkedList<Locale.LanguageRange>();\n ArrayList<String> arrayList1 = new ArrayList<String>();\n List<String> list0 = Locale.filterTags((List<Locale.LanguageRange>) linkedList0, (Collection<String>) arrayList1);\n List<String> list1 = Locale.filterTags((List<Locale.LanguageRange>) linkedList0, (Collection<String>) list0);\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n Attribute attribute1 = new Attribute(\"@attribute\", list1, protectedProperties0);\n arrayList0.add(attribute1);\n Instances instances0 = new Instances(\"string\", arrayList0, 4);\n discretize0.setInputFormat(instances0);\n discretize0.calculateCutPoints();\n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualWidthBinning(3);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 3\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","title":""},{"docid":"c5feb6a1c99a5b5706afd76ec76c8ac7","score":"0.5855916","text":"@org.junit.Test(timeout = 10000)\n public void testGetFalsePositiveProbability_cf7625() {\n // These probabilities are taken from the bloom filter probability table at\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\n java.lang.System.out.println(\"expectedFalsePositiveProbability\");\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\n double expResult = 0.00819;// m/n=10, k=7\n \n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\n expResult = 0.00819;// m/n=10, k=7\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\n expResult = 0.393;// m/n=2, k=1\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\n expResult = 0.00509;// m/n=11, k=8\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\n org.junit.Assert.assertEquals(8, instance.getHashCount());\n // StatementAdderOnAssert create null value\n com.clearspring.analytics.stream.membership.Filter[] vc_1558 = (com.clearspring.analytics.stream.membership.Filter[])null;\n // StatementAddOnAssert local variable replacement\n com.clearspring.analytics.stream.membership.BloomFilter mergeBf = ((com.clearspring.analytics.stream.membership.BloomFilter) (bf2.merge(bf)));\n // AssertGenerator replace invocation\n com.clearspring.analytics.stream.membership.Filter o_testGetFalsePositiveProbability_cf7625__44 = // StatementAdderMethod cloned existing statement\nmergeBf.merge(vc_1558);\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)o_testGetFalsePositiveProbability_cf7625__44).getHashCount(), 10);\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)o_testGetFalsePositiveProbability_cf7625__44).buckets(), 150080);\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\n }","title":""},{"docid":"0fc50c4778508df8fe4d69c52c2eb9d7","score":"0.5845964","text":"@org.junit.Test(timeout = 10000)\n public void testGetFalsePositiveProbability_cf7623() {\n // These probabilities are taken from the bloom filter probability table at\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\n java.lang.System.out.println(\"expectedFalsePositiveProbability\");\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\n double expResult = 0.00819;// m/n=10, k=7\n \n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\n expResult = 0.00819;// m/n=10, k=7\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\n expResult = 0.393;// m/n=2, k=1\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\n expResult = 0.00509;// m/n=11, k=8\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\n org.junit.Assert.assertEquals(8, instance.getHashCount());\n // StatementAdderOnAssert create null value\n com.clearspring.analytics.stream.membership.Filter[] vc_1558 = (com.clearspring.analytics.stream.membership.Filter[])null;\n // AssertGenerator replace invocation\n com.clearspring.analytics.stream.membership.Filter o_testGetFalsePositiveProbability_cf7623__41 = // StatementAdderMethod cloned existing statement\ninstance.merge(vc_1558);\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)o_testGetFalsePositiveProbability_cf7623__41).buckets(), 192);\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)o_testGetFalsePositiveProbability_cf7623__41).getHashCount(), 8);\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\n }","title":""},{"docid":"85dfe69e7352b19e68c43b79cc1cfa09","score":"0.58379865","text":"@org.junit.Test(timeout = 10000)\n public void testGetFalsePositiveProbability_cf7646() {\n // These probabilities are taken from the bloom filter probability table at\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\n java.lang.System.out.println(\"expectedFalsePositiveProbability\");\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\n double expResult = 0.00819;// m/n=10, k=7\n \n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\n expResult = 0.00819;// m/n=10, k=7\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\n expResult = 0.393;// m/n=2, k=1\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\n expResult = 0.00509;// m/n=11, k=8\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\n org.junit.Assert.assertEquals(8, instance.getHashCount());\n // AssertGenerator replace invocation\n java.lang.String o_testGetFalsePositiveProbability_cf7646__39 = // StatementAdderMethod cloned existing statement\ninstance.toString();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_testGetFalsePositiveProbability_cf7646__39, \"{}\");\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\n }","title":""},{"docid":"698e81af1f85436314dfd85615e9dd8b","score":"0.58377105","text":"@Test(timeout = 4000)\n public void test07() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getOptions();\n double[][] doubleArray0 = new double[12][8];\n discretize0.getRevision();\n discretize0.setMakeBinary(true);\n discretize0.m_CutPoints = doubleArray0;\n discretize0.getBinRangesString(9);\n assertTrue(discretize0.getMakeBinary());\n }","title":""},{"docid":"048cac068e107213400de08e022f86c2","score":"0.5837184","text":"@org.junit.Test(timeout = 10000)\n public void testGetFalsePositiveProbability_cf7609() {\n // These probabilities are taken from the bloom filter probability table at\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\n java.lang.System.out.println(\"expectedFalsePositiveProbability\");\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\n double expResult = 0.00819;// m/n=10, k=7\n \n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\n expResult = 0.00819;// m/n=10, k=7\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\n expResult = 0.393;// m/n=2, k=1\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\n expResult = 0.00509;// m/n=11, k=8\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\n org.junit.Assert.assertEquals(8, instance.getHashCount());\n // StatementAdderOnAssert create null value\n com.clearspring.analytics.stream.membership.BloomFilter vc_1550 = (com.clearspring.analytics.stream.membership.BloomFilter)null;\n // AssertGenerator replace invocation\n com.clearspring.analytics.stream.membership.BloomFilter o_testGetFalsePositiveProbability_cf7609__41 = // StatementAdderMethod cloned existing statement\nvc_1550.alwaysMatchingBloomFilter();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)o_testGetFalsePositiveProbability_cf7609__41).buckets(), 64);\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)o_testGetFalsePositiveProbability_cf7609__41).getHashCount(), 1);\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\n }","title":""},{"docid":"261a2a0e3994509c73f891361905da2f","score":"0.5830887","text":"@Test\n\tpublic void testSingleCrossingScenarioLowVsHighDemandWoMinG(){\n\t\tFixture fixture = new Fixture(90, 1800, 0.0, Regime.COMBINED);\n\t\tSignalAnalysisTool signalAnalyzer = new SignalAnalysisTool();\n\t\tDelayAnalysisTool generalAnalyzer = fixture.run(signalAnalyzer);\n\t\t\n\t\tMap<Id<SignalGroup>, Double> totalSignalGreenTimes = signalAnalyzer.getTotalSignalGreenTime(); \n\t\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycle = signalAnalyzer.calculateAvgSignalGreenTimePerFlexibleCycle(); \n\t\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystem = signalAnalyzer.calculateAvgFlexibleCycleTimePerSignalSystem(); \n\t\tMap<Id<Link>, Double> avgDelayPerLink = generalAnalyzer.getAvgDelayPerLink();\n\t\tDouble avgDelayWE = avgDelayPerLink.get(Id.createLinkId(\"2_3\"));\n\t\tDouble avgDelayNS = avgDelayPerLink.get(Id.createLinkId(\"7_3\"));\n\t\t\n\t\tlog.info(\"total signal green times: \" + totalSignalGreenTimes.get(signalGroupId1) + \", \" + totalSignalGreenTimes.get(signalGroupId2));\n\t\tlog.info(\"avg signal green times per cycle: \" + avgSignalGreenTimePerCycle.get(signalGroupId1) + \", \"\n\t\t\t\t+ avgSignalGreenTimePerCycle.get(signalGroupId2));\n\t\tlog.info(\"avg cycle time per system: \" + avgCycleTimePerSystem.get(signalSystemId));\n\t\tlog.info(\"avg delay per link: \" + avgDelayWE + \", \" + avgDelayNS);\n\t\t\n\t\tAssert.assertTrue(\"total signal green time of WE-direction should be higher than NS-direction\", \n\t\t\t\ttotalSignalGreenTimes.get(signalGroupId1)-totalSignalGreenTimes.get(signalGroupId2) > 0);\n\t\tAssert.assertTrue(\"avg signal green time per cycle of WE-direction should be higher than NS-direction\", \n\t\t\t\tavgSignalGreenTimePerCycle.get(signalGroupId1)-avgSignalGreenTimePerCycle.get(signalGroupId2) > 0);\n\t\tAssert.assertTrue(\"avg signal green time per cycle of NS-direction should be less than 5 seconds\", avgSignalGreenTimePerCycle.get(signalGroupId2) < 5.0);\n\t\tAssert.assertTrue(\"cycle time should stay below 90 seconds\", avgCycleTimePerSystem.get(signalSystemId) <= 90);\n\t\tAssert.assertTrue(\"avg delay per vehicle on WS-direction should be less than on NS-direction\", avgDelayWE<avgDelayNS);\n\t}","title":""},{"docid":"bbd257f816f94f9bd3f1f1b6ed097506","score":"0.5824758","text":"@Test(timeout = 4000)\n public void test20() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n textDirectoryLoader0.getStructure();\n C45Loader c45Loader0 = new C45Loader();\n c45Loader0.setUseRelativePath(true);\n File file0 = c45Loader0.retrieveFile();\n textDirectoryLoader0.setDirectory(file0);\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"@data\");\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toSummaryString(true);\n assertEquals(\"=== Summary ===\\n\\nTotal Number of Instances 0 \\n\", string0);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n }","title":""},{"docid":"321084d5a48ecc5088f83fbdc29ebf48","score":"0.5821725","text":"@org.junit.Test\n public void testGetFalsePositiveProbability() {\n java.lang.System.out.println(\"expectedFalsePositiveProbability\");\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\n double expResult = 0.00819;// m/n=10, k=7\n \n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\n expResult = 0.00819;// m/n=10, k=7\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\n expResult = 0.393;// m/n=2, k=1\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\n expResult = 0.00509;// m/n=11, k=8\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\n org.junit.Assert.assertEquals(8, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\n }","title":""},{"docid":"741e07a41050e3bbe6f467426383fbed","score":"0.5817561","text":"@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Attribute attribute0 = new Attribute(\".ycf\", (-1816));\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"=\\\"D>o[8X:(P;+\", arrayList0, 0);\n Discretize discretize1 = new Discretize();\n assertFalse(discretize1.getMakeBinary());\n \n boolean boolean0 = discretize1.setInputFormat(instances0);\n assertFalse(boolean0);\n \n String[] stringArray0 = new String[0];\n discretize1.setOptions(stringArray0);\n assertEquals((-1.0), discretize1.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize1.getUseBinNumbers());\n assertFalse(discretize1.getUseEqualFrequency());\n assertFalse(discretize1.getFindNumBins());\n assertEquals(10, discretize1.getBins());\n }","title":""},{"docid":"364e8abb2f94c94eb57248de3396dd7c","score":"0.580973","text":"@Test\n public void test11() throws Throwable {\n Frequency frequency0 = new Frequency((Comparator) null);\n double double0 = frequency0.getPct(0L);\n long long0 = frequency0.getCount((-1592));\n frequency0.addValue((-1592));\n double double1 = frequency0.getCumPct((-1592));\n Integer integer0 = new Integer(1);\n frequency0.addValue(integer0);\n double double2 = frequency0.getCumPct('A');\n long long1 = frequency0.getCount((-1592));\n }","title":""},{"docid":"65733f65a2c3b5732a14c245434ab1a1","score":"0.579914","text":"boolean hasEntropyScore();","title":""},{"docid":"9385fdd2c94f3a77237202fb6af7cafb","score":"0.5794662","text":"@Test\n public void testHypergeometricCdf() {\n System.out.println(\"HypergeometricCdf\");\n int k = 3;\n int n = 10;\n int Kp = 30;\n int Np = 100;\n double expResult = 0.65401998866081;\n double result = DiscreteDistributions.HypergeometricCdf(k, n, Kp, Np);\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\n }","title":""},{"docid":"c2eeda1d0b4f386343617de1f629cbf1","score":"0.5783111","text":"@Test(timeout = 4000)\n public void test17() throws Throwable {\n String[] stringArray0 = new String[2];\n stringArray0[0] = \";C|gT,;vK_X2tBONoGI\";\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate();\n MockRandom mockRandom0 = new MockRandom(3328L);\n instances0.randomize(mockRandom0);\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toCumulativeMarginDistributionString();\n assertEquals(\" -1 0 \\n\", string0);\n \n evaluation0.setDiscardPredictions(false);\n double double0 = evaluation0.KBRelativeInformation();\n assertEquals(0.0, double0, 0.01);\n \n evaluation0.incorrect();\n double double1 = evaluation0.weightedFalsePositiveRate();\n assertEquals(Double.NaN, double1, 0.01);\n \n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n textDirectoryLoader0.getOptions();\n evaluation0.toSummaryString(true);\n AttributeSelectedClassifier attributeSelectedClassifier0 = new AttributeSelectedClassifier();\n evaluation0.weightedFalseNegativeRate();\n Evaluation.makeOptionString(attributeSelectedClassifier0, false);\n evaluation0.toSummaryString(\" \", false);\n assertEquals(Double.NaN, evaluation0.weightedFalsePositiveRate(), 0.01);\n }","title":""},{"docid":"bcf23f2ad4e7a4255e7d966ff28f331b","score":"0.5777102","text":"public void updateCoverage() {\n\t\tcoverage = ((noOfNodes * coverage) + 1) / noOfNodes;\n\t}","title":""},{"docid":"dc5bf017236594d0eb6c0d81d4621e3a","score":"0.5767073","text":"@org.junit.Test(timeout = 10000)\n public void testGetFalsePositiveProbability_cf7642() {\n // These probabilities are taken from the bloom filter probability table at\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\n java.lang.System.out.println(\"expectedFalsePositiveProbability\");\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\n double expResult = 0.00819;// m/n=10, k=7\n \n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\n expResult = 0.00819;// m/n=10, k=7\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n org.junit.Assert.assertEquals(7, instance.getHashCount());\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\n expResult = 0.393;// m/n=2, k=1\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\n expResult = 0.00509;// m/n=11, k=8\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\n org.junit.Assert.assertEquals(8, instance.getHashCount());\n // AssertGenerator replace invocation\n int o_testGetFalsePositiveProbability_cf7642__39 = // StatementAdderMethod cloned existing statement\ninstance.emptyBuckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_testGetFalsePositiveProbability_cf7642__39, 192);\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\n }","title":""},{"docid":"1175fdd6c1328270042eaa0013fc271e","score":"0.57562923","text":"@Test\n public void testBernoulliCdf() {\n System.out.println(\"BernoulliCdf\");\n int k = 1;\n double p = 0.5;\n double expResult = 1.0;\n double result = DiscreteDistributions.BernoulliCdf(k, p);\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\n }","title":""},{"docid":"57caf95c0f307a19620d9af5926e5342","score":"0.5750446","text":"@Test\n public void acquisitionCostTest() {\n // TODO: test acquisitionCost\n }","title":""},{"docid":"f6d82dda0d905aa55c4fc15250a9d0c8","score":"0.57497644","text":"@Test(timeout = 4000)\n public void test16() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.setAttributeIndices(\"\");\n String[] stringArray0 = discretize0.getOptions();\n assertEquals(10, discretize0.getBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertEquals(4, stringArray0.length);\n }","title":""},{"docid":"6f5c860f3a2796dc965b5358f87aa031","score":"0.57473147","text":"@Test(timeout = 4000)\n public void test53() throws Throwable {\n FileSystemHandling.setPermissions((EvoSuiteFile) null, false, false, true);\n EvoSuiteFile evoSuiteFile0 = new EvoSuiteFile(\"/home/ubuntu/wekafiles\");\n FileSystemHandling.appendLineToFile(evoSuiteFile0, \"1]ucba&\\\"wjW~2a\");\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Attribute attribute0 = new Attribute(\"\\\"position\\\" has unknown type\");\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"HuI)L44;vn \", arrayList0, 1);\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(1);\n instances0.add((Instance) binarySparseInstance0);\n discretize0.setInputFormat(instances0);\n discretize0.setUseEqualFrequency(true);\n double[] doubleArray0 = new double[1];\n doubleArray0[0] = 3800.84988;\n SparseInstance sparseInstance0 = new SparseInstance(3800.84988, doubleArray0);\n instances0.add((Instance) sparseInstance0);\n sparseInstance0.setValue(attribute0, (double) 1);\n SparseInstance sparseInstance1 = new SparseInstance(sparseInstance0);\n sparseInstance1.toString(attribute0);\n FileSystemHandling.setPermissions((EvoSuiteFile) null, false, false, false);\n instances0.add((Instance) sparseInstance1);\n Filter.useFilter(instances0, discretize0);\n discretize0.setOutputFormat();\n System.setCurrentTimeMillis(2);\n discretize0.convertInstance(sparseInstance1);\n System.setCurrentTimeMillis(1);\n // Undeclared exception!\n try { \n discretize0.findNumBins(1);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 1\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","title":""},{"docid":"def6f0ab5552338836e028d7b8bd9e77","score":"0.57469696","text":"@Test(timeout = 4000)\n public void test15() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getCutPoints((-1550));\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n }","title":""},{"docid":"1bc5c1a15ccdc96764d278d237a2ce3e","score":"0.57413566","text":"@Test\n public void testDale_chall_score() {\n System.out.println(\"dale_chall_score\");\n String strText = TEST_STRING;\n double expResult = 20.486603754266213;\n double result = ReadabilityStatistics.dale_chall_score(strText);\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\n }","title":""},{"docid":"35a02ea89c3d25597ce0616c3ed5328b","score":"0.5725457","text":"@Test(timeout = 4000)\n public void test31() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n discretize0.setFindNumBins(true);\n Attribute attribute0 = new Attribute(\"\\\"position\\\" has unknown type\");\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"real\", arrayList0, 1);\n discretize0.setInputFormat(instances0);\n double[] doubleArray0 = new double[1];\n doubleArray0[0] = (double) 0;\n int[] intArray0 = new int[0];\n SparseInstance sparseInstance0 = new SparseInstance(1.7976931348623157E308, doubleArray0, intArray0, 1);\n instances0.add((Instance) sparseInstance0);\n SparseInstance sparseInstance1 = new SparseInstance((Instance) sparseInstance0);\n instances0.add((Instance) sparseInstance1);\n Filter.useFilter(instances0, discretize0);\n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning(1);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 1\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","title":""},{"docid":"14298b20c8bf91c6929d91d3c0b4d1f2","score":"0.57183367","text":"@Test\n public void testNegativeBinomialCdf() {\n System.out.println(\"NegativeBinomialCdf\");\n int n = 10;\n int r = 4;\n double p = 0.5;\n double expResult = 0.12705078125;\n double result = DiscreteDistributions.NegativeBinomialCdf(n, r, p);\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\n }","title":""},{"docid":"da05c8a5888fa9cd947abfc0fe3dec77","score":"0.57162416","text":"private double getTotalEntropy() {\n\t\tint[] countOccEach = new int[classes.size()];\t//Array to store num occurrences of each class\n\t\t\n\t\tfor(int i: countOccEach){\t\t\t\t\t\t//Confirming each location is 0\n\t\t\tcountOccEach[i] = 0;\n\t\t}\n\t\t\n\t\tdouble entropy = 0;\n\t\tint loopCntr = 0;\n\t\tfor(String s : classes){\t\t\t\t\t\t//Count occurrences of each class. Loop over the classes\n\t\t\tfor(int i=1 ; i<data.length; i++){\t\t\t//i=1 to skip title. Loop over each case\n\t\t\t\tif (s.equals(data[i][col-1])){\t\t\t//Check if current case matches the current class being searched for\n\t\t\t\t\tcountOccEach[loopCntr]++;\t\t\t//Increment counter on match\n\t\t\t\t}\n\t\t\t}\n\t\t\tdouble occurances = countOccEach[loopCntr];\t\t\t//Store the total number of occurrences of each\n\t\t\tdouble dataSize = (data.length-1);\t\t\t\t\t//Accounting for the column headers\n\t\t\tdouble fraction = occurances/dataSize;\n\t\t\tentropy -= fraction* this.log(fraction, 2);\t\t\t//Calculating the overall entropy. log() get the base2 of fraction\n\t\t\tloopCntr++;\n\t\t}\n\t\treturn entropy;\n\t}","title":""},{"docid":"8d1c2f4af3966aa9ef786ec395485777","score":"0.5704586","text":"@Test(timeout = 4000)\n public void test38() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n LinkedList<String> linkedList0 = new LinkedList<String>();\n Attribute attribute0 = new Attribute(\"L(&4\", linkedList0, (-679));\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"string\", arrayList0, 1);\n instances0.toString();\n discretize0.setInputFormat(instances0);\n discretize0.calculateCutPoints();\n discretize0.setOutputFormat();\n discretize0.numPendingOutput();\n attribute0.equalsMsg(\"@relation string\\n\\n@attribute L(&4 {}\\n\\n@data\\n\");\n discretize0.isNewBatch();\n double[] doubleArray0 = new double[1];\n doubleArray0[0] = (double) 3;\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance((-3103.837), doubleArray0);\n SparseInstance sparseInstance0 = new SparseInstance((SparseInstance) binarySparseInstance0);\n discretize0.convertInstance(binarySparseInstance0);\n // Undeclared exception!\n try { \n discretize0.getBinRangesString(2);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 2\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }","title":""},{"docid":"65c064137ab8e2d0f34ec79f4ff840fd","score":"0.5698213","text":"@Test(timeout = 4000)\n public void test43() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Attribute attribute0 = new Attribute(\"\\\"position\\\"has unknown type\");\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"relational\", arrayList0, 1);\n String[] stringArray0 = new String[7];\n SparseInstance sparseInstance0 = new SparseInstance(2);\n instances0.add((Instance) sparseInstance0);\n stringArray0[0] = \"@data\";\n stringArray0[2] = \"relational\";\n stringArray0[3] = \"relational\";\n stringArray0[4] = \"integer\";\n stringArray0[5] = \"real\";\n stringArray0[6] = \"date\";\n discretize0.setInputFormat(instances0);\n discretize0.setUseEqualFrequency(true);\n double[] doubleArray0 = new double[1];\n doubleArray0[0] = (double) 0;\n SparseInstance sparseInstance1 = new SparseInstance(527.34601, doubleArray0);\n instances0.add((Instance) sparseInstance1);\n sparseInstance1.setValue(attribute0, (-2393.229239409172));\n SparseInstance sparseInstance2 = new SparseInstance(sparseInstance1);\n sparseInstance1.toString(attribute0);\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, false);\n instances0.add((Instance) sparseInstance2);\n Filter.useFilter(instances0, discretize0);\n discretize0.setOutputFormat();\n System.setCurrentTimeMillis((-2594L));\n }","title":""},{"docid":"01666362f8b663c42192a78c443efa18","score":"0.56968194","text":"@org.junit.Test(timeout = 10000)\n public void testGetFalsePositiveProbability_cf7643_cf10382_failAssert0_literalMutation19342() {\n // AssertGenerator generate try/catch block with fail statement\n try {\n // MethodAssertGenerator build local variable\n Object o_44_1 = 150080;\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_44_1, 150080);\n // These probabilities are taken from the bloom filter probability table at\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\n java.lang.System.out.println(\"expectedFalsePositiveProbability\");\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\n double expResult = 0.00819;// m/n=10, k=7\n \n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n // MethodAssertGenerator build local variable\n Object o_10_0 = instance.getHashCount();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_10_0, 7);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\n expResult = 0.00819;// m/n=10, k=7\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n // MethodAssertGenerator build local variable\n Object o_19_0 = instance.getHashCount();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_19_0, 7);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\n expResult = 0.393;// m/n=2, k=1\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\n // MethodAssertGenerator build local variable\n Object o_28_0 = instance.getHashCount();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_28_0, 1);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)instance).getHashCount(), 7);\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)instance).buckets(), 128);\n expResult = 0.00509;// m/n=11, k=8\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\n // MethodAssertGenerator build local variable\n Object o_37_0 = instance.getHashCount();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_37_0, 7);\n // StatementAddOnAssert local variable replacement\n com.clearspring.analytics.stream.membership.BloomFilter mergeBf = ((com.clearspring.analytics.stream.membership.BloomFilter) (bf2.merge(bf)));\n // AssertGenerator replace invocation\n int o_testGetFalsePositiveProbability_cf7643__42 = // StatementAdderMethod cloned existing statement\nmergeBf.emptyBuckets();\n // MethodAssertGenerator build local variable\n Object o_44_0 = o_testGetFalsePositiveProbability_cf7643__42;\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_44_0, 150080);\n // StatementAdderOnAssert create null value\n java.lang.String vc_2194 = (java.lang.String)null;\n // AssertGenerator add assertion\n org.junit.Assert.assertNull(vc_2194);\n // StatementAdderOnAssert create null value\n com.clearspring.analytics.stream.membership.BloomFilter vc_2192 = (com.clearspring.analytics.stream.membership.BloomFilter)null;\n // AssertGenerator add assertion\n org.junit.Assert.assertNull(vc_2192);\n // StatementAdderMethod cloned existing statement\n vc_2192.add(vc_2194);\n org.junit.Assert.fail(\"testGetFalsePositiveProbability_cf7643_cf10382 should have thrown NullPointerException\");\n } catch (java.lang.NullPointerException eee) {\n }\n }","title":""},{"docid":"78a6ce2642aaf3434d5dd82c0512d03c","score":"0.5693964","text":"@Test\n public void testBinomialCdf() {\n System.out.println(\"BinomialCdf\");\n int k = 3;\n double p = 0.5;\n int n = 10;\n double expResult = 0.17187500002003;\n double result = DiscreteDistributions.BinomialCdf(k, p, n);\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\n }","title":""},{"docid":"fb92a1634df457b2615e5a463cc0bcb8","score":"0.5686931","text":"@java.lang.Override\n public float getEntropyScore() {\n return entropyScore_;\n }","title":""},{"docid":"35d8648043f55bebc1ad57a92e3bf402","score":"0.5676212","text":"@Test(timeout = 4000)\n public void test15() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n instances0.delete();\n MockRandom mockRandom0 = new MockRandom(0L);\n MockRandom mockRandom1 = new MockRandom(1110L);\n mockRandom1.doubles();\n instances0.randomize(mockRandom1);\n evaluation0.toCumulativeMarginDistributionString();\n evaluation0.setDiscardPredictions(false);\n evaluation0.KBRelativeInformation();\n evaluation0.incorrect();\n evaluation0.weightedFalsePositiveRate();\n textDirectoryLoader0.getOptions();\n String string0 = evaluation0.toSummaryString(true);\n AttributeSelectedClassifier attributeSelectedClassifier0 = new AttributeSelectedClassifier();\n evaluation0.SFSchemeEntropy();\n evaluation0.weightedFalseNegativeRate();\n String string1 = Evaluation.makeOptionString(attributeSelectedClassifier0, true);\n assertFalse(string1.equals((Object)string0));\n }","title":""},{"docid":"21cc61b1b15d485ef3f4f73b7cdc28cc","score":"0.56710505","text":"@Test\n public void testGunning_fog_score() {\n System.out.println(\"gunning_fog_score\");\n String strText = TEST_STRING;\n double expResult = 118.0;\n double result = ReadabilityStatistics.gunning_fog_score(strText);\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\n }","title":""},{"docid":"5c571e92ef67b0736e9ca82039479473","score":"0.56672686","text":"@Test(timeout = 4000)\n public void test40() throws Throwable {\n Discretize discretize0 = new Discretize();\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\n Attribute attribute0 = new Attribute(\"\\\"position\\\"has unknown type\");\n arrayList0.add(attribute0);\n Instances instances0 = new Instances(\"relational\", arrayList0, 1);\n String[] stringArray0 = new String[7];\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(1);\n instances0.add((Instance) binarySparseInstance0);\n stringArray0[0] = \"@data\";\n stringArray0[2] = \"relational\";\n stringArray0[3] = \"relational\";\n stringArray0[4] = \"integer\";\n stringArray0[5] = \"real\";\n stringArray0[6] = \"date\";\n discretize0.setInputFormat(instances0);\n discretize0.setUseEqualFrequency(true);\n double[] doubleArray0 = new double[1];\n doubleArray0[0] = (double) 0;\n SparseInstance sparseInstance0 = new SparseInstance(527.34601, doubleArray0);\n instances0.add((Instance) sparseInstance0);\n sparseInstance0.setValue(attribute0, (-2393.229239409172));\n SparseInstance sparseInstance1 = new SparseInstance(sparseInstance0);\n sparseInstance0.toString(attribute0);\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, false);\n instances0.add((Instance) sparseInstance1);\n Filter.useFilter(instances0, discretize0);\n discretize0.setOutputFormat();\n System.setCurrentTimeMillis((-2594L));\n discretize0.convertInstance(sparseInstance0);\n assertTrue(discretize0.getUseEqualFrequency());\n }","title":""},{"docid":"b8b77bec29656c013593a0d506bac511","score":"0.56651","text":"void testAll()\n {\n String dna = \"CCGGSDFCGTCa\";\n //StorageResource set = new StorageResource();\n //set = getAllGenes(dna);\n //processGenes(set);\n //System.out.println(countGenes(dna));\n System.out.println(cgRatio(dna));\n }","title":""},{"docid":"5dc173db7bb239858f10d4b1ef493553","score":"0.5664557","text":"@Test(timeout = 4000)\n public void test08() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n instances0.delete();\n MockRandom mockRandom0 = new MockRandom(0L);\n MockRandom mockRandom1 = new MockRandom(1110L);\n instances0.randomize(mockRandom1);\n String string0 = evaluation0.toCumulativeMarginDistributionString();\n assertEquals(\" -1 0 \\n\", string0);\n \n evaluation0.setDiscardPredictions(false);\n evaluation0.KBRelativeInformation();\n evaluation0.incorrect();\n evaluation0.weightedFalsePositiveRate();\n String string1 = evaluation0.toSummaryString(true);\n assertEquals(\"=== Summary ===\\n\\nTotal Number of Instances 0 \\n\", string1);\n \n String string2 = evaluation0.toClassDetailsString();\n assertEquals(\"=== Detailed Accuracy By Class ===\\n\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\n\", string2);\n }","title":""},{"docid":"31b0f6a40602d674ccd5fef1492c8a41","score":"0.56579983","text":"public void execute()\r\n/* 29: */ throws GlobalException\r\n/* 30: */ {\r\n/* 31: 65 */ if (this.input.getCDim() != 1) {\r\n/* 32: 65 */ throw new GlobalException(\"Sorry, only mono-channel images for now...\");\r\n/* 33: */ }\r\n/* 34: 67 */ Point[] domPoints = DominantPointsDetection.invoke(this.input, Double.valueOf(20.0D));\r\n/* 35: */ \r\n/* 36: */ \r\n/* 37: 70 */ ArrayList<Double> distances = new ArrayList();\r\n/* 38: */ \r\n/* 39: 72 */ double maxDist = 0.0D;\r\n/* 40: 75 */ for (int i = 0; i < domPoints.length; i++) {\r\n/* 41: 76 */ for (int j = 0; j < domPoints.length; j++) {\r\n/* 42: 77 */ if (i != j)\r\n/* 43: */ {\r\n/* 44: 79 */ dist = Distance.EuclideanDistance(domPoints[i], domPoints[j]);\r\n/* 45: 80 */ distances.add(Double.valueOf(dist));\r\n/* 46: 82 */ if (dist > maxDist) {\r\n/* 47: 82 */ maxDist = dist;\r\n/* 48: */ }\r\n/* 49: */ }\r\n/* 50: */ }\r\n/* 51: */ }\r\n/* 52: 86 */ this.output = new double[this.bins.intValue()];\r\n/* 53: 89 */ for (double dist = distances.iterator(); dist.hasNext();)\r\n/* 54: */ {\r\n/* 55: 89 */ double d = ((Double)dist.next()).doubleValue();\r\n/* 56: 90 */ int bin = (int)(d / maxDist * this.bins.intValue());\r\n/* 57: 91 */ if (bin == this.bins.intValue()) {\r\n/* 58: 91 */ bin--;\r\n/* 59: */ }\r\n/* 60: 92 */ this.output[bin] += 1.0D;\r\n/* 61: */ }\r\n/* 62: 96 */ for (int i = 0; i < this.output.length; i++) {\r\n/* 63: 97 */ this.output[i] /= distances.size();\r\n/* 64: */ }\r\n/* 65: */ }","title":""},{"docid":"f9870440597e27ebc120a4106f1356d6","score":"0.56568784","text":"public double getCoverageOfTestCasesByPredictedRegions(){\r\n\t\ttry {\r\n\t\t\treturn eval.coverageOfTestCasesByPredictedRegions();\r\n\t\t} catch (Exception e) {\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\treturn 1/0;\r\n\t}","title":""},{"docid":"bbf16ada7753443eca4ab036e34ca842","score":"0.56563","text":"@Test(timeout = 4000)\n public void test11() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n doubleArray0[0] = (double) 69;\n doubleArray0[1] = 1608.2289599268;\n doubleArray0[2] = (double) 69;\n doubleArray0[3] = (double) 69;\n doubleArray0[4] = (double) 69;\n doubleArray0[5] = (double) 69;\n doubleArray0[6] = (double) 69;\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 1.0);\n evaluation0.setDiscardPredictions(true);\n double double0 = evaluation0.KBRelativeInformation();\n assertTrue(evaluation0.getDiscardPredictions());\n assertEquals(Double.NaN, double0, 0.01);\n }","title":""},{"docid":"c84df6ff5eddbd6b8f1bb8c9a6f26265","score":"0.5650513","text":"@Test\n public void testHypergeometric() {\n System.out.println(\"Hypergeometric\");\n int k = 3;\n int n = 10;\n int Kp = 30;\n int Np = 100;\n double expResult = 0.28116339430254;\n double result = DiscreteDistributions.Hypergeometric(k, n, Kp, Np);\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\n }","title":""},{"docid":"35c1c7eba9604f64cf85b3ae55305a6c","score":"0.5647602","text":"@Test\n public void costTest() {\n // TODO: test cost\n }","title":""},{"docid":"243851c45932f316bdffc420899e6682","score":"0.5631897","text":"@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.useEqualFrequencyTipText();\n assertFalse(discretize0.getFindNumBins());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getMakeBinary());\n assertEquals(10, discretize0.getBins());\n assertEquals(\"If set to true, equal-frequency binning will be used instead of equal-width binning.\", string0);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n }","title":""},{"docid":"7c9aed5a904bff8528c85de9d149a4a3","score":"0.5630251","text":"@org.junit.Test(timeout = 10000)\n public void testGetFalsePositiveProbability_cf7637_failAssert73_literalMutation12458() {\n // AssertGenerator generate try/catch block with fail statement\n try {\n // These probabilities are taken from the bloom filter probability table at\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\n java.lang.System.out.println(\"expectedFalsePositiveProbability\");\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\n double expResult = 0.00819;// m/n=10, k=7\n \n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n // MethodAssertGenerator build local variable\n Object o_10_0 = instance.getHashCount();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_10_0, 7);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\n expResult = 0.00819;// m/n=10, k=7\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\n // MethodAssertGenerator build local variable\n Object o_19_0 = instance.getHashCount();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_19_0, 7);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\n expResult = 0.393;// m/n=2, k=1\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\n // MethodAssertGenerator build local variable\n Object o_28_0 = instance.getHashCount();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_28_0, 1);\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 22);\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)instance).getHashCount(), 14);\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)instance).buckets(), 256);\n expResult = 0.00509;// m/n=11, k=8\n \n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\n // MethodAssertGenerator build local variable\n Object o_37_0 = instance.getHashCount();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_37_0, 14);\n // StatementAdderOnAssert create null value\n com.clearspring.analytics.stream.membership.BloomFilter vc_1564 = (com.clearspring.analytics.stream.membership.BloomFilter)null;\n // StatementAdderMethod cloned existing statement\n vc_1564.buckets();\n org.junit.Assert.fail(\"testGetFalsePositiveProbability_cf7637 should have thrown NullPointerException\");\n } catch (java.lang.NullPointerException eee) {\n }\n }","title":""},{"docid":"16de7e7459e077d5cab23de627177d8b","score":"0.5623849","text":"@Test(timeout = 4000)\n public void test04() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.setOutputFormat();\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getFindNumBins());\n }","title":""},{"docid":"5bf8d5dbfa22705cd890f85a37101a2d","score":"0.5623151","text":"@org.junit.Test(timeout = 10000)\n public void testSizing_cf57160_failAssert16_add61758() throws java.io.IOException {\n // AssertGenerator generate try/catch block with fail statement\n try {\n com.clearspring.analytics.stream.membership.BloomFilter f = null;\n // MethodAssertGenerator build local variable\n Object o_2_0 = (f = new com.clearspring.analytics.stream.membership.BloomFilter(10, 0.05)).buckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_2_0, 128);\n // MethodAssertGenerator build local variable\n Object o_8_0 = new com.clearspring.analytics.stream.membership.BloomFilter(100, 0.05).buckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_8_0, 768);\n // MethodAssertGenerator build local variable\n Object o_11_0 = new com.clearspring.analytics.stream.membership.BloomFilter(1000, 0.05).buckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_11_0, 7040);\n // MethodAssertGenerator build local variable\n Object o_14_0 = new com.clearspring.analytics.stream.membership.BloomFilter(10000, 0.05).buckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_14_0, 70080);\n // MethodAssertGenerator build local variable\n Object o_17_0 = new com.clearspring.analytics.stream.membership.BloomFilter(100000, 0.05).buckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_17_0, 700032);\n // MethodAssertGenerator build local variable\n Object o_20_0 = new com.clearspring.analytics.stream.membership.BloomFilter(1000000, 0.05).buckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_20_0, 7000064);\n // MethodAssertGenerator build local variable\n Object o_23_0 = new com.clearspring.analytics.stream.membership.BloomFilter(10, 0.01).buckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_23_0, 128);\n // MethodAssertGenerator build local variable\n Object o_26_0 = new com.clearspring.analytics.stream.membership.BloomFilter(100, 0.01).buckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_26_0, 1024);\n // MethodAssertGenerator build local variable\n Object o_29_0 = (f = new com.clearspring.analytics.stream.membership.BloomFilter(1000, 0.01)).buckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_29_0, 10048);\n // MethodAssertGenerator build local variable\n Object o_35_0 = (f = new com.clearspring.analytics.stream.membership.BloomFilter(10000, 0.01)).buckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_35_0, 100032);\n // MethodAssertGenerator build local variable\n Object o_41_0 = (f = new com.clearspring.analytics.stream.membership.BloomFilter(100000, 0.01)).buckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_41_0, 1000064);\n // MethodAssertGenerator build local variable\n Object o_47_0 = (f = new com.clearspring.analytics.stream.membership.BloomFilter(1000000, 0.01)).buckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_47_0, 10000064);\n for (java.lang.String s : new com.clearspring.analytics.stream.membership.KeyGenerator.RandomStringGenerator(new java.util.Random().nextInt(), 1000000)) {\n // MethodCallAdder\n f.add(s);\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)f).getHashCount(), 5);\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)f).buckets(), 10000064);\n f.add(s);\n }\n // MethodAssertGenerator build local variable\n Object o_60_0 = f.buckets();\n // AssertGenerator add assertion\n org.junit.Assert.assertEquals(o_60_0, 10000064);\n // StatementAdderOnAssert create null value\n com.clearspring.analytics.stream.membership.BloomFilter vc_13046 = (com.clearspring.analytics.stream.membership.BloomFilter)null;\n // AssertGenerator add assertion\n org.junit.Assert.assertNull(vc_13046);\n // StatementAdderMethod cloned existing statement\n vc_13046.tserializer();\n org.junit.Assert.fail(\"testSizing_cf57160 should have thrown NullPointerException\");\n } catch (java.lang.NullPointerException eee) {\n }\n }","title":""},{"docid":"4e5f88e042be97bb60d9ae2570e2197c","score":"0.5619166","text":"@Test\n public void testNegativeBinomial() {\n System.out.println(\"NegativeBinomial\");\n int n = 10;\n int r = 4;\n double p = 0.5;\n double expResult = 0.08203125;\n double result = DiscreteDistributions.NegativeBinomial(n, r, p);\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\n }","title":""},{"docid":"7500cd798505e88fe8c490511bb5406b","score":"0.561472","text":"@Test\n\tpublic void testSingleCrossingScenarioStabilizingVsOptimizingRegimeHighDemand(){\n\t\tFixture fixtureStab = new Fixture(360, 1800, 0.0, Regime.STABILIZING);\n\t\tSignalAnalysisTool signalAnalyzerStab = new SignalAnalysisTool();\n\t\tDelayAnalysisTool generalAnalyzerStab = fixtureStab.run(signalAnalyzerStab);\n\n\t\tFixture fixtureOpt = new Fixture(360, 1800, 0.0, Regime.OPTIMIZING);\n\t\tSignalAnalysisTool signalAnalyzerOpt = new SignalAnalysisTool();\n\t\tDelayAnalysisTool generalAnalyzerOpt = fixtureOpt.run(signalAnalyzerOpt);\n\n\t\tFixture fixtureComb = new Fixture(360, 1800, 0.0, Regime.COMBINED);\n\t\tSignalAnalysisTool signalAnalyzerComb = new SignalAnalysisTool();\n\t\tDelayAnalysisTool generalAnalyzerComb = fixtureComb.run(signalAnalyzerComb);\n\t\t\n\t\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycleStab = signalAnalyzerStab.calculateAvgSignalGreenTimePerFlexibleCycle(); \n\t\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystemStab = signalAnalyzerStab.calculateAvgFlexibleCycleTimePerSignalSystem(); \n\t\tMap<Id<Link>, Double> avgDelayPerLinkStab = generalAnalyzerStab.getAvgDelayPerLink();\n\t\t\n\t\tlog.info(\"demand 360,1800 (i.e. 0.6) -- results for the stabilizing regime:\");\n\t\tlog.info(\"avg signal green times per cycle: \" + avgSignalGreenTimePerCycleStab.get(signalGroupId1) + \", \"\n\t\t\t\t+ avgSignalGreenTimePerCycleStab.get(signalGroupId2));\n\t\tlog.info(\"avg cycle time per system: \" + avgCycleTimePerSystemStab.get(signalSystemId));\n\t\tlog.info(\"avg delay per link: \" + avgDelayPerLinkStab.get(Id.createLinkId(\"2_3\")) + \", \" + avgDelayPerLinkStab.get(Id.createLinkId(\"7_3\")));\n\t\tlog.info(\"Total delay: \" + generalAnalyzerStab.getTotalDelay());\n\t\t\n\t\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycleOpt = signalAnalyzerOpt.calculateAvgSignalGreenTimePerFlexibleCycle(); \n\t\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystemOpt = signalAnalyzerOpt.calculateAvgFlexibleCycleTimePerSignalSystem(); \n\t\tMap<Id<Link>, Double> avgDelayPerLinkOpt = generalAnalyzerOpt.getAvgDelayPerLink();\n\t\t\n\t\tlog.info(\"demand 360,1800 (i.e. 0.6) -- results for the optimizing regime:\");\n\t\tlog.info(\"avg signal green times per cycle: \" + avgSignalGreenTimePerCycleOpt.get(signalGroupId1) + \", \"\n\t\t\t\t+ avgSignalGreenTimePerCycleOpt.get(signalGroupId2));\n\t\tlog.info(\"avg cycle time per system: \" + avgCycleTimePerSystemOpt.get(signalSystemId));\n\t\tlog.info(\"avg delay per link: \" + avgDelayPerLinkOpt.get(Id.createLinkId(\"2_3\")) + \", \" + avgDelayPerLinkOpt.get(Id.createLinkId(\"7_3\")));\n\t\tlog.info(\"Total delay: \" + generalAnalyzerOpt.getTotalDelay());\n\t\t\n\t\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycleComb = signalAnalyzerComb.calculateAvgSignalGreenTimePerFlexibleCycle(); \n\t\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystemComb = signalAnalyzerComb.calculateAvgFlexibleCycleTimePerSignalSystem(); \n\t\tMap<Id<Link>, Double> avgDelayPerLinkComb = generalAnalyzerComb.getAvgDelayPerLink();\n\t\t\n\t\tlog.info(\"demand 360,1800 (i.e. 0.6) -- results for the combined regime:\");\n\t\tlog.info(\"avg signal green times per cycle: \" + avgSignalGreenTimePerCycleComb.get(signalGroupId1) + \", \"\n\t\t\t\t+ avgSignalGreenTimePerCycleComb.get(signalGroupId2));\n\t\tlog.info(\"avg cycle time per system: \" + avgCycleTimePerSystemComb.get(signalSystemId));\n\t\tlog.info(\"avg delay per link: \" + avgDelayPerLinkComb.get(Id.createLinkId(\"2_3\")) + \", \" + avgDelayPerLinkComb.get(Id.createLinkId(\"7_3\")));\n\t\tlog.info(\"Total delay: \" + generalAnalyzerComb.getTotalDelay());\n\t\t\n\t\t// Test Stabilizing Regime:\n\t\tfor (Id<Link> linkId : avgDelayPerLinkStab.keySet()) {\n\t\t\tAssert.assertTrue(\"stab: avg delay per link should be below a threshold (i.e. still stable)\", avgDelayPerLinkStab.get(linkId) < maxCycleTime);\n\t\t}\n\t\tAssert.assertTrue(\"the stabilizing regime should satisfy the maximum cycle time\", avgCycleTimePerSystemStab.get(signalSystemId) < maxCycleTime);\n\t\t// stabilizing regime only shows green when number of vehicles beyond a critical number, i.e. some of the cycle time is given away (all signals show red)\n\t\tAssert.assertTrue(\"stab: sum of green times per cycle plus 10 seconds intergreen time should be more than 9 seconds less than the avg cycle time\", \n\t\t\t\tavgSignalGreenTimePerCycleStab.get(signalGroupId1) + avgSignalGreenTimePerCycleStab.get(signalGroupId2) + cycleIntergreenTime \n\t\t\t\t< avgCycleTimePerSystemStab.get(signalSystemId) - 9);\n\t\t\n\t\t// Test Optimizing Regime:\n\t\tAssert.assertTrue(\"avg delay for NS-direction should be very high for the optimizing regime with high demand\", avgDelayPerLinkOpt.get(Id.createLinkId(\"7_3\")) > maxCycleTime);\n\t\tAssert.assertTrue(\"total delay of optimizing regime should be the highest\", generalAnalyzerStab.getTotalDelay() < generalAnalyzerOpt.getTotalDelay());\n\t\tAssert.assertTrue(\"for this demand, the cycle time of the optimizing regime should be very high, i.e. not stable anymore\", \n\t\t\t\tavgCycleTimePerSystemOpt.get(signalSystemId) > 10*maxCycleTime);\n\t\t\n\t\t// Test Combined Regime:\n\t\tfor (Id<Link> linkId : avgDelayPerLinkComb.keySet()) {\n\t\t\tAssert.assertTrue(\"avg delay per link should be below a threshold (i.e. still stable)\", avgDelayPerLinkComb.get(linkId) < maxCycleTime);\n\t\t}\n\t\tAssert.assertEquals(\"comb: sum of green times per cycle plus 10 seconds intergreen time should be more or less equal to the avg cycle time\", \n\t\t\t\tavgCycleTimePerSystemComb.get(signalSystemId), \n\t\t\t\tavgSignalGreenTimePerCycleComb.get(signalGroupId1) + avgSignalGreenTimePerCycleComb.get(signalGroupId2) + cycleIntergreenTime, \n\t\t\t\t2);\n\t\tAssert.assertTrue(\"the combined regime should satisfy the maximum cycle time\", avgCycleTimePerSystemComb.get(signalSystemId) < maxCycleTime);\n\t\tAssert.assertTrue(\"total delay with the combined regime should be the lowest\", generalAnalyzerOpt.getTotalDelay() > generalAnalyzerComb.getTotalDelay());\n\t\tAssert.assertTrue(\"total delay with the combined regime should be the lowest\", generalAnalyzerStab.getTotalDelay() > generalAnalyzerComb.getTotalDelay());\n\t}","title":""}],"string":"[\n {\n \"docid\": \"dc7afd015f73b66477d28310a9524aa9\",\n \"score\": \"0.6935201\",\n \"text\": \"@Test\\n public void testEntropy() {\\n System.out.println(\\\"entropy\\\");\\n TDistribution instance = new TDistribution(20);\\n Assert.assertEquals(1.46954202, instance.entropy(), 1.0E-7);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"573325d2a6229174e2df85e3d1e66f15\",\n \"score\": \"0.661069\",\n \"text\": \"@Test(timeout = 4000)\\n public void test82() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertNotNull(regressionByDiscretization0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertNotNull(capabilities0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(testInstances0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(1, testInstances0.getNumDate());\\n \\n Instances instances0 = testInstances0.generate(\\\"|J\\\");\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(instances0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(evaluation0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n \\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n assertNotNull(textDirectoryLoader0);\\n assertEquals(\\\"The character set to use when reading text files (eg UTF-8) - leave blank to use the default character set.\\\", textDirectoryLoader0.charSetTipText());\\n assertEquals(\\\"Directories\\\", textDirectoryLoader0.getFileDescription());\\n assertEquals(\\\"Whether to print additional debug information to the console.\\\", textDirectoryLoader0.debugTipText());\\n assertEquals(\\\"Whether to store the filename in an additional attribute.\\\", textDirectoryLoader0.outputFilenameTipText());\\n assertEquals(\\\"Loads all text files in a directory and uses the subdirectory names as class labels. The content of the text files will be stored in a String attribute, the filename can be stored as well.\\\", textDirectoryLoader0.globalInfo());\\n assertEquals(\\\"\\\", textDirectoryLoader0.getCharSet());\\n assertFalse(textDirectoryLoader0.getOutputFilename());\\n assertFalse(textDirectoryLoader0.getDebug());\\n \\n Instances instances1 = textDirectoryLoader0.getStructure();\\n assertNotNull(instances1);\\n assertFalse(instances1.equals((Object)instances0));\\n assertEquals(\\\"The character set to use when reading text files (eg UTF-8) - leave blank to use the default character set.\\\", textDirectoryLoader0.charSetTipText());\\n assertEquals(\\\"Directories\\\", textDirectoryLoader0.getFileDescription());\\n assertEquals(\\\"Whether to print additional debug information to the console.\\\", textDirectoryLoader0.debugTipText());\\n assertEquals(\\\"Whether to store the filename in an additional attribute.\\\", textDirectoryLoader0.outputFilenameTipText());\\n assertEquals(\\\"Loads all text files in a directory and uses the subdirectory names as class labels. The content of the text files will be stored in a String attribute, the filename can be stored as well.\\\", textDirectoryLoader0.globalInfo());\\n assertEquals(\\\"\\\", textDirectoryLoader0.getCharSet());\\n assertFalse(textDirectoryLoader0.getOutputFilename());\\n assertFalse(textDirectoryLoader0.getDebug());\\n assertEquals(0.0, instances1.sumOfWeights(), 0.01);\\n assertEquals(0, instances1.size());\\n assertTrue(instances1.checkForStringAttributes());\\n assertEquals(2, instances1.numAttributes());\\n assertEquals(0, instances1.numClasses());\\n assertEquals(1, instances1.classIndex());\\n assertEquals(0, instances1.numInstances());\\n assertEquals(\\\"_home_ubuntu_evosuite_readability_gen_projects_107_weka\\\", instances1.relationName());\\n assertNotSame(instances1, instances0);\\n \\n CostMatrix costMatrix0 = new CostMatrix(0);\\n assertNotNull(costMatrix0);\\n assertEquals(0, costMatrix0.numColumns());\\n assertEquals(0, costMatrix0.size());\\n assertEquals(0, costMatrix0.numRows());\\n \\n CostMatrix costMatrix1 = new CostMatrix(costMatrix0);\\n assertNotNull(costMatrix1);\\n assertFalse(costMatrix1.equals((Object)costMatrix0));\\n assertEquals(0, costMatrix0.numColumns());\\n assertEquals(0, costMatrix0.size());\\n assertEquals(0, costMatrix0.numRows());\\n assertEquals(0, costMatrix1.size());\\n assertEquals(0, costMatrix1.numRows());\\n assertEquals(0, costMatrix1.numColumns());\\n \\n Evaluation evaluation1 = new Evaluation(instances1, costMatrix1);\\n assertNotNull(evaluation1);\\n assertFalse(instances1.equals((Object)instances0));\\n assertFalse(costMatrix0.equals((Object)costMatrix1));\\n assertFalse(costMatrix1.equals((Object)costMatrix0));\\n assertFalse(evaluation1.equals((Object)evaluation0));\\n assertEquals(\\\"The character set to use when reading text files (eg UTF-8) - leave blank to use the default character set.\\\", textDirectoryLoader0.charSetTipText());\\n assertEquals(\\\"Directories\\\", textDirectoryLoader0.getFileDescription());\\n assertEquals(\\\"Whether to print additional debug information to the console.\\\", textDirectoryLoader0.debugTipText());\\n assertEquals(\\\"Whether to store the filename in an additional attribute.\\\", textDirectoryLoader0.outputFilenameTipText());\\n assertEquals(\\\"Loads all text files in a directory and uses the subdirectory names as class labels. The content of the text files will be stored in a String attribute, the filename can be stored as well.\\\", textDirectoryLoader0.globalInfo());\\n assertEquals(\\\"\\\", textDirectoryLoader0.getCharSet());\\n assertFalse(textDirectoryLoader0.getOutputFilename());\\n assertFalse(textDirectoryLoader0.getDebug());\\n assertEquals(0.0, instances1.sumOfWeights(), 0.01);\\n assertEquals(0, instances1.size());\\n assertTrue(instances1.checkForStringAttributes());\\n assertEquals(2, instances1.numAttributes());\\n assertEquals(0, instances1.numClasses());\\n assertEquals(1, instances1.classIndex());\\n assertEquals(0, instances1.numInstances());\\n assertEquals(\\\"_home_ubuntu_evosuite_readability_gen_projects_107_weka\\\", instances1.relationName());\\n assertEquals(0, costMatrix0.numColumns());\\n assertEquals(0, costMatrix0.size());\\n assertEquals(0, costMatrix0.numRows());\\n assertEquals(0, costMatrix1.size());\\n assertEquals(0, costMatrix1.numRows());\\n assertEquals(0, costMatrix1.numColumns());\\n assertEquals(Double.NaN, evaluation1.weightedFMeasure(), 0.01);\\n assertEquals(Double.NaN, evaluation1.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation1.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation1.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation1.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation1.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation1.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation1.weightedTrueNegativeRate(), 0.01);\\n assertEquals(0.0, evaluation1.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation1.unweightedMicroFmeasure(), 0.01);\\n assertEquals(1.0, evaluation1.kappa(), 0.01);\\n assertEquals(Double.NaN, evaluation1.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation1.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation1.avgCost(), 0.01);\\n assertEquals(0.0, evaluation1.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation1.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation1.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation1.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation1.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation1.weightedFalsePositiveRate(), 0.01);\\n assertEquals(Double.NaN, evaluation1.weightedTruePositiveRate(), 0.01);\\n assertEquals(0.0, evaluation1.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation1.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation1.errorRate(), 0.01);\\n assertEquals(Double.NaN, evaluation1.weightedPrecision(), 0.01);\\n assertEquals(Double.NaN, evaluation1.weightedFalseNegativeRate(), 0.01);\\n assertEquals(Double.NaN, evaluation1.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation1.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation1.SFEntropyGain(), 0.01);\\n assertFalse(evaluation1.getDiscardPredictions());\\n assertEquals(0.0, evaluation1.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation1.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation1.weightedRecall(), 0.01);\\n assertEquals(Double.NaN, evaluation1.relativeAbsoluteError(), 0.01);\\n \\n double[] doubleArray0 = new double[6];\\n doubleArray0[0] = (double) (-1);\\n doubleArray0[1] = 204.02614061766;\\n try { \\n evaluation0.priorEntropy();\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Exception e) {\\n //\\n // Can't compute entropy of class prior: class numeric!\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b8db410b5dab986f0afe7f01e70c5147\",\n \"score\": \"0.6596566\",\n \"text\": \"@Test(timeout = 4000)\\n public void test64() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertNotNull(regressionByDiscretization0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertNotNull(capabilities0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(testInstances0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n \\n Instances instances0 = testInstances0.generate(\\\"|J\\\");\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(instances0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(evaluation0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n \\n double[] doubleArray0 = new double[9];\\n doubleArray0[0] = (double) 2;\\n doubleArray0[1] = (double) (-2);\\n doubleArray0[2] = (double) 1;\\n doubleArray0[3] = (double) 0;\\n doubleArray0[4] = (double) 2;\\n doubleArray0[5] = (double) 0;\\n doubleArray0[6] = (double) 0;\\n DenseInstance denseInstance0 = new DenseInstance(1, doubleArray0);\\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\\n assertNotNull(denseInstance0);\\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(1.0, denseInstance0.weight(), 0.01);\\n assertEquals(9, denseInstance0.numValues());\\n assertEquals(9, denseInstance0.numAttributes());\\n assertEquals(9, doubleArray0.length);\\n \\n ConverterUtils.DataSource converterUtils_DataSource0 = new ConverterUtils.DataSource(instances0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(converterUtils_DataSource0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertFalse(converterUtils_DataSource0.isIncremental());\\n \\n DenseInstance denseInstance1 = (DenseInstance)converterUtils_DataSource0.nextElement(instances0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\\n assertNotNull(denseInstance1);\\n assertFalse(denseInstance1.equals((Object)denseInstance0));\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertFalse(converterUtils_DataSource0.isIncremental());\\n assertEquals(3, denseInstance1.classIndex());\\n assertEquals(1, denseInstance1.numClasses());\\n assertEquals(4, denseInstance1.numValues());\\n assertEquals(4, denseInstance1.numAttributes());\\n assertEquals(1.0, denseInstance1.weight(), 0.01);\\n assertNotSame(denseInstance1, denseInstance0);\\n \\n boolean boolean0 = false;\\n double double0 = evaluation0.evaluationForSingleInstance(doubleArray0, denseInstance1, false);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(2.0, double0, 0.01);\\n assertFalse(denseInstance1.equals((Object)denseInstance0));\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(0.5287499998696148, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(0.0, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(1.0, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(1.0, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(0.5287499998696148, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(1.0, evaluation0.numInstances(), 0.01);\\n assertEquals(1.0, evaluation0.rootMeanSquaredError(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(189.1252955549109, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(189.1252955549109, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.avgCost(), 0.01);\\n assertFalse(converterUtils_DataSource0.isIncremental());\\n assertEquals(3, denseInstance1.classIndex());\\n assertEquals(1, denseInstance1.numClasses());\\n assertEquals(4, denseInstance1.numValues());\\n assertEquals(4, denseInstance1.numAttributes());\\n assertEquals(1.0, denseInstance1.weight(), 0.01);\\n assertEquals(9, doubleArray0.length);\\n assertNotSame(denseInstance1, denseInstance0);\\n \\n try { \\n CostMatrix.parseMatlab(\\\"weka/core/Capabilities.props\\\");\\n fail(\\\"Expecting exception: StringIndexOutOfBoundsException\\\");\\n \\n } catch(StringIndexOutOfBoundsException e) {\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b5f59baa009a02347ccd855580f091e\",\n \"score\": \"0.6593887\",\n \"text\": \"@Test(timeout = 4000)\\n public void test83() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertNotNull(regressionByDiscretization0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertNotNull(capabilities0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(testInstances0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n \\n Instances instances0 = testInstances0.generate(\\\" \\\");\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(instances0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(3, instances0.classIndex());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(evaluation0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(3, instances0.classIndex());\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n \\n double[] doubleArray0 = new double[9];\\n doubleArray0[0] = (double) 2;\\n doubleArray0[1] = (double) (-2);\\n doubleArray0[2] = (double) 1;\\n doubleArray0[3] = (double) 0;\\n doubleArray0[5] = (double) 0;\\n doubleArray0[6] = (double) 0;\\n DenseInstance denseInstance0 = new DenseInstance(1, doubleArray0);\\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\\n assertNotNull(denseInstance0);\\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(1.0, denseInstance0.weight(), 0.01);\\n assertEquals(9, denseInstance0.numValues());\\n assertEquals(9, denseInstance0.numAttributes());\\n assertEquals(9, doubleArray0.length);\\n \\n ConverterUtils.DataSource converterUtils_DataSource0 = new ConverterUtils.DataSource(instances0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(converterUtils_DataSource0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(3, instances0.classIndex());\\n assertFalse(converterUtils_DataSource0.isIncremental());\\n \\n DenseInstance denseInstance1 = (DenseInstance)converterUtils_DataSource0.nextElement(instances0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\\n assertNotNull(denseInstance1);\\n assertFalse(denseInstance1.equals((Object)denseInstance0));\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(3, instances0.classIndex());\\n assertFalse(converterUtils_DataSource0.isIncremental());\\n assertEquals(1, denseInstance1.numClasses());\\n assertEquals(4, denseInstance1.numValues());\\n assertEquals(1.0, denseInstance1.weight(), 0.01);\\n assertEquals(3, denseInstance1.classIndex());\\n assertEquals(4, denseInstance1.numAttributes());\\n assertNotSame(denseInstance1, denseInstance0);\\n \\n denseInstance1.setClassMissing();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\\n assertFalse(denseInstance1.equals((Object)denseInstance0));\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(3, instances0.classIndex());\\n assertFalse(converterUtils_DataSource0.isIncremental());\\n assertEquals(1, denseInstance1.numClasses());\\n assertEquals(4, denseInstance1.numValues());\\n assertEquals(1.0, denseInstance1.weight(), 0.01);\\n assertEquals(3, denseInstance1.classIndex());\\n assertEquals(4, denseInstance1.numAttributes());\\n assertNotSame(denseInstance1, denseInstance0);\\n \\n double double0 = evaluation0.evaluationForSingleInstance(doubleArray0, denseInstance1, true);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(2.0, double0, 0.01);\\n assertFalse(denseInstance1.equals((Object)denseInstance0));\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(3, instances0.classIndex());\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertFalse(converterUtils_DataSource0.isIncremental());\\n assertEquals(1, denseInstance1.numClasses());\\n assertEquals(4, denseInstance1.numValues());\\n assertEquals(1.0, denseInstance1.weight(), 0.01);\\n assertEquals(3, denseInstance1.classIndex());\\n assertEquals(4, denseInstance1.numAttributes());\\n assertEquals(9, doubleArray0.length);\\n assertNotSame(denseInstance1, denseInstance0);\\n \\n String string0 = \\\"i\\\";\\n try { \\n evaluation0.KBMeanInformation();\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Exception e) {\\n //\\n // Can't compute K&B Info score: class numeric!\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a896c2ea42e9ea47f4e47785dc75103a\",\n \"score\": \"0.65855986\",\n \"text\": \"@Test(timeout = 4000)\\n public void test67() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(regressionByDiscretization0);\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(capabilities0);\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(testInstances0);\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals((-1), testInstances0.getClassIndex());\\n \\n Instances instances0 = testInstances0.generate(\\\"|J\\\");\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(instances0);\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(3, instances0.classIndex());\\n \\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(evaluation0);\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n \\n try { \\n evaluation0.toCumulativeMarginDistributionString();\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Exception e) {\\n //\\n // Class must be nominal for margin distributions\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c65b340a88f97d0ba9031fa8ea0a70f8\",\n \"score\": \"0.65322834\",\n \"text\": \"@Test(timeout = 4000)\\n public void test61() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(regressionByDiscretization0);\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(capabilities0);\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(testInstances0);\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getMultiInstance());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(20, testInstances0.getNumInstances());\\n \\n Instances instances0 = testInstances0.generate(\\\"{`vSB'pZn~rOk\\\");\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(instances0);\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getMultiInstance());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(evaluation0);\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getMultiInstance());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n \\n boolean boolean0 = FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"kernelTipText\\\");\\n assertFalse(boolean0);\\n \\n double double0 = evaluation0.correlationCoefficient();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getMultiInstance());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n \\n // Undeclared exception!\\n try { \\n testInstances0.setRelationalFormat(2, instances0);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 2\\n //\\n verifyException(\\\"weka.core.TestInstances\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0294779cf869a92f0915b487e30655a5\",\n \"score\": \"0.65218633\",\n \"text\": \"double getFeatureCoverage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ba9d84782c614f661d54db618723186e\",\n \"score\": \"0.650333\",\n \"text\": \"@Test(timeout = 4000)\\n public void test63() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertNotNull(regressionByDiscretization0);\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertNotNull(capabilities0);\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(testInstances0);\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getSeed());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n \\n Instances instances0 = testInstances0.generate(\\\"|J\\\");\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(instances0);\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getSeed());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(evaluation0);\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getSeed());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n \\n double[] doubleArray0 = new double[4];\\n doubleArray0[0] = 1000.0;\\n doubleArray0[1] = (double) 0;\\n doubleArray0[2] = (double) 1;\\n doubleArray0[3] = (double) 0;\\n // Undeclared exception!\\n try { \\n evaluation0.updateMargins(doubleArray0, 0, (-1));\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 250250\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"de5f31512a14dd9e6b6125e90ac78777\",\n \"score\": \"0.649\",\n \"text\": \"@Test(timeout = 4000)\\n public void test53() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(regressionByDiscretization0);\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(capabilities0);\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(testInstances0);\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n \\n Instances instances0 = testInstances0.generate(\\\"|J\\\");\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(instances0);\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(4, instances0.numAttributes());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(1, instances0.numClasses());\\n \\n String string0 = Evaluation.getGlobalInfo(regressionByDiscretization0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(string0);\\n assertEquals(\\\"\\\\nSynopsis for weka.classifiers.meta.RegressionByDiscretization:\\\\n\\\\nA regression scheme that employs any classifier on a copy of the data that has the class attribute discretized. The predicted value is the expected value of the mean class value for each discretized interval (based on the predicted probabilities for each interval). This class now also supports conditional density estimation by building a univariate density estimator from the target values in the training data, weighted by the class probabilities. \\\\n\\\\nFor more information on this process, see\\\\n\\\\nEibe Frank, Remco R. Bouckaert: Conditional Density Estimation with Class Probability Estimators. In: First Asian Conference on Machine Learning, Berlin, 65-81, 2009.\\\", string0);\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(evaluation0);\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(4, instances0.numAttributes());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n \\n try { \\n evaluation0.KBInformation();\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Exception e) {\\n //\\n // Can't compute K&B Info score: class numeric!\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c3b044fe5f89582eb0270a9e660d10f2\",\n \"score\": \"0.6474651\",\n \"text\": \"@Test(timeout = 4000)\\n public void test69() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertNotNull(regressionByDiscretization0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertNotNull(capabilities0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(testInstances0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumClasses());\\n \\n Instances instances0 = testInstances0.generate(\\\"|J\\\");\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(instances0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(3, instances0.classIndex());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(evaluation0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n \\n Evaluation evaluation1 = new Evaluation(instances0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(evaluation1);\\n assertTrue(evaluation1.equals((Object)evaluation0));\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(0.0, evaluation1.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation1.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation1.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation1.errorRate(), 0.01);\\n assertEquals(0.0, evaluation1.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation1.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation1.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation1.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation1.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation1.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation1.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation1.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation1.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation1.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation1.rootRelativeSquaredError(), 0.01);\\n assertEquals(0.0, evaluation1.unclassified(), 0.01);\\n assertEquals(0.0, evaluation1.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation1.SFMeanPriorEntropy(), 0.01);\\n assertFalse(evaluation1.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation1.pctIncorrect(), 0.01);\\n assertEquals(0.0, evaluation1.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation1.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation1.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation1.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation1.numInstances(), 0.01);\\n \\n double double0 = evaluation0.errorRate();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals(Double.NaN, double0, 0.01);\\n assertTrue(evaluation0.equals((Object)evaluation1));\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertNotSame(evaluation0, evaluation1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"49f6c63d485c47ad930fe40da1da7580\",\n \"score\": \"0.6446971\",\n \"text\": \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\")OLe\\\");\\n Instances instances1 = new Instances(instances0);\\n instances0.delete();\\n MockRandom mockRandom0 = new MockRandom(0L);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanPriorEntropy();\\n Vector<String> vector0 = new Vector<String>();\\n Attribute attribute0 = new Attribute(\\\"NONE\\\", vector0, (-147));\\n instances0.sort(attribute0);\\n double double1 = evaluation0.weightedFMeasure();\\n assertEquals(double1, double0, 0.01);\\n \\n String string0 = evaluation0.toMatrixString(\\\")OLe\\\");\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(\\\")OLe\\\\n a b <-- classified as\\\\n 0 0 | a = class1\\\\n 0 0 | b = class2\\\\n\\\", string0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"004f484e9f3c80a6e34cd3b4d83d7296\",\n \"score\": \"0.6430253\",\n \"text\": \"@Test(timeout = 4000)\\n public void test59() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertNotNull(regressionByDiscretization0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertNotNull(capabilities0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(testInstances0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumString());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n \\n Instances instances0 = testInstances0.generate(\\\"|J\\\");\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(instances0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumString());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(4, instances0.numAttributes());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(evaluation0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumString());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(4, instances0.numAttributes());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n \\n double[] doubleArray0 = new double[9];\\n doubleArray0[0] = (double) 2;\\n doubleArray0[1] = (double) (-2);\\n RandomForest randomForest0 = new RandomForest();\\n assertNotNull(randomForest0);\\n assertEquals(\\\"Print the individual trees in the output\\\", randomForest0.printTreesTipText());\\n assertEquals(Double.NaN, randomForest0.measureOutOfBagError(), 0.01);\\n assertEquals(0, randomForest0.getNumFeatures());\\n assertFalse(randomForest0.getPrintTrees());\\n assertEquals(1, randomForest0.getNumExecutionSlots());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", randomForest0.debugTipText());\\n assertEquals(\\\"The number of execution slots (threads) to use for constructing the ensemble.\\\", randomForest0.numExecutionSlotsTipText());\\n assertEquals(0, randomForest0.getMaxDepth());\\n assertFalse(randomForest0.getDebug());\\n assertEquals(\\\"The random number seed to be used.\\\", randomForest0.seedTipText());\\n assertEquals(\\\"The number of attributes to be used in random selection (see RandomTree).\\\", randomForest0.numFeaturesTipText());\\n assertEquals(\\\"The number of trees to be generated.\\\", randomForest0.numTreesTipText());\\n assertEquals(10, randomForest0.getNumTrees());\\n assertEquals(\\\"The maximum depth of the trees, 0 for unlimited.\\\", randomForest0.maxDepthTipText());\\n assertEquals(1, randomForest0.getSeed());\\n \\n MockRandom mockRandom0 = new MockRandom();\\n assertNotNull(mockRandom0);\\n \\n try { \\n evaluation0.crossValidateModel((Classifier) regressionByDiscretization0, instances0, 2, (Random) mockRandom0, (Object[]) testInstances0.DEFAULT_WORDS);\\n fail(\\\"Expecting exception: ClassCastException\\\");\\n \\n } catch(ClassCastException e) {\\n //\\n // java.lang.String cannot be cast to weka.classifiers.evaluation.output.prediction.AbstractOutput\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"745cf64643086ece5d50f5d92b6359ff\",\n \"score\": \"0.6421383\",\n \"text\": \"@Test(timeout = 4000)\\n public void test70() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(regressionByDiscretization0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(capabilities0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(testInstances0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumClasses());\\n \\n Enumeration enumeration0 = testInstances0.listOptions();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(enumeration0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumClasses());\\n \\n Instances instances0 = testInstances0.generate(\\\"weka/core/Capabilities.props\\\");\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(instances0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(20, instances0.size());\\n assertEquals(1, instances0.numClasses());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(4, instances0.numAttributes());\\n \\n MockRandom mockRandom0 = new MockRandom();\\n assertNotNull(mockRandom0);\\n \\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(evaluation0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(20, instances0.size());\\n assertEquals(1, instances0.numClasses());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n \\n try { \\n evaluation0.KBRelativeInformation();\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Exception e) {\\n //\\n // Can't compute K&B Info score: class numeric!\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b005af55cbcaed7b685f4b7b77cb58b4\",\n \"score\": \"0.6400413\",\n \"text\": \"@Test(timeout = 4000)\\n public void test06() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFMeanPriorEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n \\n evaluation0.getHeader();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"af7b9fc1b275132bf76307e72999c796\",\n \"score\": \"0.63941586\",\n \"text\": \"@Test(timeout = 4000)\\n public void test57() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertNotNull(regressionByDiscretization0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertNotNull(capabilities0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(testInstances0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n \\n Instances instances0 = testInstances0.generate(\\\"|J\\\");\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(instances0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(1, instances0.numClasses());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(20, instances0.numInstances());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(evaluation0);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(1, instances0.numClasses());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n \\n evaluation0.addNumericTrainClass((-38.633626237796), 2);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(1, instances0.numClasses());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n \\n try { \\n evaluation0.toMatrixString(\\\"weka/core/Capabilities.props\\\");\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Exception e) {\\n //\\n // Evaluation: No confusion matrix possible!\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"de45aa0c400a7327b17abfcc5197d924\",\n \"score\": \"0.6391406\",\n \"text\": \"@Test(timeout = 4000)\\n public void test78() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(regressionByDiscretization0);\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(capabilities0);\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(testInstances0);\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(4, testInstances0.getNumAttributes());\\n \\n Instances instances0 = testInstances0.generate(\\\" \\\");\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(instances0);\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(4, instances0.numAttributes());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(evaluation0);\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(4, instances0.numAttributes());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n \\n double[] doubleArray0 = new double[9];\\n doubleArray0[0] = (double) 2;\\n doubleArray0[1] = (double) (-2);\\n doubleArray0[2] = (double) 1;\\n doubleArray0[3] = (double) 0;\\n doubleArray0[5] = (double) 0;\\n doubleArray0[6] = (double) 0;\\n DenseInstance denseInstance0 = new DenseInstance(1, doubleArray0);\\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\\n assertNotNull(denseInstance0);\\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(1.0, denseInstance0.weight(), 0.01);\\n assertEquals(9, denseInstance0.numAttributes());\\n assertEquals(9, denseInstance0.numValues());\\n assertEquals(9, doubleArray0.length);\\n \\n ConverterUtils.DataSource converterUtils_DataSource0 = new ConverterUtils.DataSource(instances0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(converterUtils_DataSource0);\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(4, instances0.numAttributes());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertFalse(converterUtils_DataSource0.isIncremental());\\n \\n DenseInstance denseInstance1 = (DenseInstance)converterUtils_DataSource0.nextElement(instances0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\\n assertNotNull(denseInstance1);\\n assertFalse(denseInstance1.equals((Object)denseInstance0));\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(4, instances0.numAttributes());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertFalse(converterUtils_DataSource0.isIncremental());\\n assertEquals(4, denseInstance1.numValues());\\n assertEquals(4, denseInstance1.numAttributes());\\n assertEquals(1, denseInstance1.numClasses());\\n assertEquals(3, denseInstance1.classIndex());\\n assertEquals(1.0, denseInstance1.weight(), 0.01);\\n assertNotSame(denseInstance1, denseInstance0);\\n \\n double double0 = evaluation0.evaluationForSingleInstance(doubleArray0, denseInstance1, true);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(2.0, double0, 0.01);\\n assertFalse(denseInstance1.equals((Object)denseInstance0));\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(4, instances0.numAttributes());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(189.1252955549109, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(189.1252955549109, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(0.0, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(0.5287499998696148, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(1.0, evaluation0.numInstances(), 0.01);\\n assertEquals(0.0, evaluation0.avgCost(), 0.01);\\n assertEquals(0.0, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(1.0, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(1.0, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(1.0, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.5287499998696148, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.pctUnclassified(), 0.01);\\n assertFalse(converterUtils_DataSource0.isIncremental());\\n assertEquals(4, denseInstance1.numValues());\\n assertEquals(4, denseInstance1.numAttributes());\\n assertEquals(1, denseInstance1.numClasses());\\n assertEquals(3, denseInstance1.classIndex());\\n assertEquals(1.0, denseInstance1.weight(), 0.01);\\n assertEquals(9, doubleArray0.length);\\n assertNotSame(denseInstance1, denseInstance0);\\n \\n String string0 = evaluation0.toSummaryString(\\\"weka/core/Capabilities.props\\\", true);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(string0);\\n assertEquals(\\\"weka/core/Capabilities.props\\\\nCorrelation coefficient 0 \\\\nClass complexity | order 0 0 bits 0 bits/instance\\\\nClass complexity | scheme 0 bits 0 bits/instance\\\\nComplexity improvement (Sf) 0 bits 0 bits/instance\\\\nMean absolute error 1 \\\\nRoot mean squared error 1 \\\\nRelative absolute error 189.1253 %\\\\nRoot relative squared error 189.1253 %\\\\nCoverage of cases (0.95 level) 0 %\\\\nMean rel. region size (0.95 level) 0 %\\\\nTotal Number of Instances 1 \\\\n\\\", string0);\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(4, instances0.numAttributes());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(189.1252955549109, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(189.1252955549109, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(0.0, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(0.5287499998696148, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(1.0, evaluation0.numInstances(), 0.01);\\n assertEquals(0.0, evaluation0.avgCost(), 0.01);\\n assertEquals(0.0, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(1.0, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(0.0, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(1.0, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(1.0, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.5287499998696148, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.pctUnclassified(), 0.01);\\n \\n try { \\n CostMatrix.parseMatlab(\\\" \\\");\\n fail(\\\"Expecting exception: StringIndexOutOfBoundsException\\\");\\n \\n } catch(StringIndexOutOfBoundsException e) {\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ce0fcc52279fed26cf36d3be64d1f417\",\n \"score\": \"0.63573897\",\n \"text\": \"@Test(timeout = 4000)\\n public void test33() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(regressionByDiscretization0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(capabilities0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(testInstances0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getMultiInstance());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getClassType());\\n \\n Instances instances0 = testInstances0.generate(\\\"|J\\\");\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(instances0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getMultiInstance());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getClassType());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(evaluation0);\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertFalse(testInstances0.getMultiInstance());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getClassType());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n \\n // Undeclared exception!\\n try { \\n evaluation0.weightedFalsePositiveRate();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2113c80e5e564dc932231cc3351b5ea5\",\n \"score\": \"0.62897533\",\n \"text\": \"@Test(timeout = 4000)\\n public void test15() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n MockRandom mockRandom0 = new MockRandom();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.equals(textDirectoryLoader0);\\n assertFalse(boolean0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4c07843562d99d336b1f0c55b1c869a8\",\n \"score\": \"0.6283203\",\n \"text\": \"public void doTestWithClamping() throws Exception {\\n\\t\\ttotalToks = 0;\\n rightToks = 0;\\n int flag1 = 0;\\n //String combo = \\\"pubmed_cluster6\\\";\\n //String comboNum = \\\"5\\\";\\n String filename = \\\"xPubMed_ByHighestEntropy_t0l0l1l1_totalEntropy_3.csv\\\";\\n \\n \\n \\n //TreeMap<Integer, Integer> NodeCountMap = new TreeMap<Integer, Integer>();\\n\\t\\t\\n\\t\\t//Initialize List of CRFoutput to be sorted\\n\\t\\t//CRFoutput = new ArrayList<CRFoutput>();\\n\\n CRFoutput CRFout = new CRFoutput();\\n\\t\\t\\n\\t\\t//Make output directory\\n\\t\\tString outDirec = \\\"out2\\\";\\n File dir = new File(baseDir + \\\"/\\\" + outDirec + \\\"/\\\" + outDir);\\n\\t\\tdir.mkdirs();\\n\\t\\t\\n\\t\\t//Opens file that will read in tagged test data\\n//\\t\\tTestData testData = new TestData(baseDir + \\\"/data/\\\" + inName + \\\"/\\\"\\n//\\t\\t\\t\\t+ inName + \\\".test\\\", delimit, impDelimit, groupDelimit);\\n TestData testData = new TestData(baseDir + \\\"/data/PubMed_HighEntropy/\\\" \\n + filename + \\\".test\\\", delimit, impDelimit, groupDelimit);\\n\\t\\t\\n\\t\\t//Writes a tagged exp test in the same format as the tagged data\\n//\\t\\tTestDataWrite tdw = new TestDataWrite(baseDir + \\\"/\\\" + outDirec + \\\"/\\\" + outDir + \\\"/\\\"\\n//\\t\\t\\t\\t+ \\\"tempTagged\\\" + \\\".test\\\", baseDir + \\\"/data/\\\" + inName + \\\"/\\\"\\n//\\t\\t\\t\\t+ inName + \\\".test\\\", delimit, tagDelimit, impDelimit, labelMap);\\n TestDataWrite tdw = new TestDataWrite(baseDir + \\\"/\\\" + outDirec + \\\"/\\\" + outDir + \\\"/\\\"\\n\\t\\t\\t\\t+ \\\"tempTagged\\\" + \\\".test\\\", baseDir + \\\"/data/PubMed_HighEntropy/\\\"\\n\\t\\t\\t\\t+ filename + \\\".test\\\", delimit, tagDelimit, impDelimit, labelMap);\\n\\n\\t\\t//Reads in the original tagged testing set\\n//\\t\\tTrainData taggedTestData = DataCruncher.readTagged(nlabels, baseDir\\n//\\t\\t\\t\\t+ \\\"/data/\\\" + inName + \\\"/\\\" + inName + \\\".test\\\", baseDir\\n//\\t\\t\\t\\t+ \\\"/data/\\\" + inName + \\\"/\\\" + inName + \\\".test\\\", delimit,\\n//\\t\\t\\t\\ttagDelimit, impDelimit, labelMap);\\n TrainData taggedTestData = DataCruncher.readTagged(nlabels, baseDir\\n\\t\\t\\t\\t+ \\\"/data/PubMed_HighEntropy/\\\" + filename + \\\".test\\\", baseDir\\n\\t\\t\\t\\t+ \\\"/data/PubMed_HighEntropy/\\\" + filename + \\\".test\\\", delimit,\\n\\t\\t\\t\\ttagDelimit, impDelimit, labelMap);\\n\\n\\t\\t//testRecord holds String arrays of tagged data organized by tags \\n String collect[] = new String[nlabels];\\n\\t\\tTestRecord testRecord = new TestRecord(collect);\\n \\n //Create structures for storing information about top clusters\\n String citation;\\n Hashtable<Integer, ArrayList<String>> topClusters = new Hashtable<Integer, ArrayList<String>>();\\n \\n //Initialize files to be written\\n f = new FileWriter(baseDir + \\\"/CRFoutput2.csv\\\", false);\\n f2 = new FileWriter(baseDir + \\\"/citationTable2.csv\\\", false);\\n f3 = new FileWriter(baseDir + \\\"/labelTable2.csv\\\", false);\\n\\n //facc = new FileWriter(baseDir + \\\"/data/PubMed_HighEntropy/clamped_\\\" + combo + \\\"_\\\" + comboNum\\n //+ \\\".csv\\\", false);\\n facc = new FileWriter(baseDir + \\\"/data/PubMed_HighEntropy/clamped_\\\" + filename,false);\\n \\n \\n //Read in top clusters to be clamped and add to Hashtable\\n FileInputStream fInStream = new FileInputStream(baseDir + \\\"/data/PubMed_HighEntropy/\\\" + filename); \\n DataInputStream in = new DataInputStream(fInStream);\\n\\t\\tBufferedReader br = new BufferedReader(new InputStreamReader(in)); \\n// String algorithm = br.readLine();\\n while ((citation = br.readLine()) != null) {\\n StringTokenizer strTok = new StringTokenizer(citation,\\\",\\\");\\n //if (strTok.countTokens()!=7){\\n\\t\\t\\t//throw new Exception (\\\"Expected 7 tokens in CSV line, got \\\"+ strTok.countTokens());\\n //}\\n //Relative cluster ID (not needed)\\n String relClusterID = strTok.nextToken();\\n int citID = Integer.parseInt(strTok.nextToken().trim());\\n ArrayList<String> clusterValues = new ArrayList<String>();\\n for (int idx=0; idx<4; idx++) {\\n clusterValues.add(idx,strTok.nextToken().replaceAll(\\\"\\\\\\\"\\\",\\\"\\\"));\\n }\\n clusterValues.add(4,relClusterID);\\n \\n topClusters.put(citID, clusterValues); \\n }\\n \\n\\t\\tint instance = 1;\\n\\t\\t\\n \\n \\n\\t\\t//Loop takes in tagged data record by record\\n\\t\\t// seq[] is an array of tokens\\n for (String seq[] = testData.nextRecord(); seq != null && seq.length != 0; seq = testData\\n\\t\\t\\t\\t.nextRecord()) {\\n\\t\\t\\t\\n //Print timestamp\\n System.out.println(\\\"CURRENT TIME IS: \\\" + System.currentTimeMillis() + \\\" \\\" + instance + \\\"\\\\n\\\");\\n \\n //Create tokenized record object\\n\\t\\t\\ttestRecord.init(seq);\\n \\n //Set values for output classes, CRFout and CitationTable\\n \\n CRFout.setCitationID(instance);\\n CRFout.setSeqs(seq);\\n \\n FileInputStream fInStream2 = new FileInputStream(baseDir + \\\"/data/PubMed_HighEntropy/\\\" + filename); \\n DataInputStream in2 = new DataInputStream(fInStream2);\\n BufferedReader br2 = new BufferedReader(new InputStreamReader(in2));\\n for (int line=0; line<instance; line++) {\\n citation = br2.readLine();\\n }\\n StringTokenizer strTok = new StringTokenizer(citation,\\\",\\\");\\n String relClusterID = strTok.nextToken();\\n int citID = Integer.parseInt(strTok.nextToken().trim());\\n \\n //CitationTable citTable = new CitationTable(instance, testData.line);\\n CitationTable citTable = new CitationTable(citID, testData.line);\\n\\t\\t\\t\\n\\t\\t\\tif (options.getInt(\\\"debugLvl\\\") > 1) {\\n\\t\\t\\t\\t//Util.printDbg(\\\"Invoking segment on \\\" + seq);\\n\\t\\t\\t}\\n\\n // token[] is an array of labels for seq[]\\n\\t\\t\\tint[] token = allLabels(taggedTestData.nextRecord()); \\n \\n \\n CRFout.setToks(token);\\n\\n//\\t\\t\\ttdw = new TestDataWrite(baseDir + \\\"/\\\" + outDirec + \\\"/\\\" + outDir + \\\"/\\\" + inName\\n//\\t\\t\\t\\t\\t+ \\\".test\\\", baseDir + \\\"/data/\\\" + inName + \\\"/\\\" + inName\\n//\\t\\t\\t\\t\\t+ \\\".test\\\", delimit, tagDelimit, impDelimit, labelMap);\\n tdw = new TestDataWrite(baseDir + \\\"/\\\" + outDirec + \\\"/\\\" + outDir + \\\"/\\\" + inName\\n\\t\\t\\t\\t\\t+ \\\".test\\\", baseDir + \\\"/data/PubMed_HighEntropy/\\\" + filename\\n\\t\\t\\t\\t\\t+ \\\".test\\\", delimit, tagDelimit, impDelimit, labelMap);\\n\\n\\t\\t\\t/* Without Clamping */\\n //Use raw record and CRF model to populate collect array with path labels\\n\\t\\t\\tint path[] = segment(testRecord, testData.groupedTokens(), collect);\\n\\t\\t\\t/////////////////////\\n\\n\\t\\t\\t//for (int ii = 1; ii < path.length; ii++) {\\n\\t\\t\\t//\\tSystem.out.println (path[ii] + \\\" \\\");\\n\\t\\t\\t//}\\n\\t\\t\\t//System.out.println(\\\"\\\\n\\\");\\n\\t\\t\\t\\n\\t\\t\\ttdw.writeRecord(path, testRecord.length(), instance);\\n\\t\\t\\ttdw.close();\\n \\n //Sunny code: outputting tokens?\\n//\\t\\t\\tTestDataWrite tdw1 = new TestDataWrite(baseDir + \\\"/data/\\\" + inName + \\\"/\\\"\\n//\\t\\t\\t\\t\\t+ \\\"tempTagged2\\\" + \\\".test\\\", baseDir + \\\"/data/\\\" + inName + \\\"/\\\"\\n//\\t\\t\\t\\t\\t+ inName + \\\".test\\\", delimit, tagDelimit, impDelimit,\\n//\\t\\t\\t\\t\\tlabelMap);\\n TestDataWrite tdw1 = new TestDataWrite(baseDir + \\\"/data/\\\" + inName + \\\"/\\\"\\n\\t\\t\\t\\t\\t+ \\\"tempTagged2\\\" + \\\".test\\\", baseDir + \\\"/data/PubMed_HighEntropy/\\\" \\n\\t\\t\\t\\t\\t+ filename + \\\".test\\\", delimit, tagDelimit, impDelimit,\\n\\t\\t\\t\\t\\tlabelMap);\\n\\n\\t\\t\\ttdw1.writeRecord(token, token.length, instance);\\n\\t\\t\\ttdw1.close();\\n \\n if (flag1==1) {\\n //Computing and determining all marginals\\n Marginals marginal = new Marginals(crfModel, testRecord, null);\\n marginal.compute();\\n marginal.printBetaVector();\\n marginal.computeMarginal();\\n marginal.normalize();\\n //marginal.printNormalized();\\n marginal.calculateEntropy(method);\\n //System.out.println(\\\"\\\\n\\\");\\n\\n //Compute entropy\\n Double[][] totalMarginal = new Double[token.length][nlabels];\\n double[] ent = new double[token.length];\\n for (int i=0; i<token.length; i++) {\\n Double[] marg = new Double[nlabels];\\n marg = marginal.getMarginalProb(i);\\n System.arraycopy(marg, 0, totalMarginal[i], 0, nlabels);\\n ent[i] = marginal.getEntropy(i);\\n }\\n\\n //Set Marginal and Entropy values\\n CRFout.setTotalMarginal(totalMarginal);\\n CRFout.setEntropy(ent);\\n }\\n\\t\\t\\t///////////////\\n\\t\\t\\t//NodeCountMap.put(instance, marginal.numHighEntropyNodes(0.2));\\n\\t\\t\\t//////////////\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t//////////////\\n\\t\\t\\t//double THRESH = 0.2;\\n\\t\\t\\t//turkerData.add(new TurkerData(rawline, seq, marginal\\n\\t\\t\\t//\\t\\t.getNumMaxEntropyNodes(THRESH), marginal.getMaxEntropyNode()));\\n\\t\\t\\t/////////////\\n\\t\\t\\t\\n\\t\\t\\t// marginal.printEntropy();\\n\\n\\t\\t\\t// f.write(marginal.getMaxEntropyNode() + \\\" \\\");\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t/* without clamping */\\n\\t\\t\\t/*Exp 2*/\\n\\t\\t\\t/////////////////////////////////////////////////////////////////////////////////////\\n\\t\\t\\t////////////////////////////////////////////////////////////////////////////////////\\n\\t\\t\\t//double f1Score = calcWith(testRecord);\\n\\t\\t\\tdouble f1Before = calcWith(testRecord);\\n\\t\\t\\t////////////////////////////////////////////////////////////////////////////////////\\n\\t\\t\\t////////////////////////////////////////////////////////////////////////////////////\\n\\n\\t\\t\\tdouble[] f1 = new double[token.length]; \\n\\t\\t\\t\\n\\t\\t\\t/* clamping */\\n\\t\\t\\t//System.out.println(\\\"Length:\\\" + token.length);\\n\\t\\t\\t\\n// TrainData tdMan = DataCruncher.readTagged(nlabels, baseDir + \\\"/data/\\\"\\n//\\t\\t\\t\\t+ inName + \\\"/\\\" + \\\"tempTagged2\\\" + \\\".test\\\", baseDir + \\\"/data/\\\"\\n//\\t\\t\\t\\t+ inName + \\\"/\\\" + inName + \\\".test\\\", delimit, tagDelimit,\\n//\\t\\t\\t\\timpDelimit, labelMap);\\n// TrainData tdAuto = DataCruncher.readTagged(nlabels, baseDir + \\\"/\\\" + outDirec + \\\"/\\\"\\n//\\t\\t\\t\\t+ outDir + \\\"/\\\" + inName + \\\".test\\\", baseDir + \\\"/data/\\\" + inName\\n//\\t\\t\\t\\t+ \\\"/\\\" + inName + \\\".test\\\", delimit, tagDelimit, impDelimit,\\n//\\t\\t\\t\\tlabelMap);\\n TrainData tdMan = DataCruncher.readTagged(nlabels, baseDir + \\\"/data/\\\"\\n\\t\\t\\t\\t+ inName + \\\"/\\\" + \\\"tempTagged2\\\" + \\\".test\\\", baseDir + \\\"/data/PubMed_HighEntropy/\\\"\\n\\t\\t\\t\\t+ filename + \\\".test\\\", delimit, tagDelimit,\\n\\t\\t\\t\\timpDelimit, labelMap);\\n TrainData tdAuto = DataCruncher.readTagged(nlabels, baseDir + \\\"/\\\" + outDirec + \\\"/\\\"\\n\\t\\t\\t\\t+ outDir + \\\"/\\\" + inName + \\\".test\\\", baseDir + \\\"/data/PubMed_HighEntropy/\\\"\\n\\t\\t\\t\\t+ filename + \\\".test\\\", delimit, tagDelimit, impDelimit,\\n\\t\\t\\t\\tlabelMap);\\n \\n //Accuracy Calculation for Clamping\\n// for (int idx=0; idx<tdAuto.size(); idx++) {\\n// TrainRecord trMan = tdMan.nextRecord();\\n// TrainRecord trAuto = tdAuto.nextRecord();\\n// //if (idx==(CRFout.citationID-1)) {\\n// int tokenMan[] = allLabels(trMan);\\n// int tokenAuto[] = allLabels(trAuto);\\n// CRFout.setTrueLabels(tokenMan);\\n// CRFout.setAutoLabels(tokenAuto);\\n// for (int idx2=0; idx2<tokenMan.length; idx2++) {\\n// totalToks++;\\n// if (tokenMan[idx2]==tokenAuto[idx2])\\n// rightToks++;\\n// }\\n// //}\\n// }\\n \\n///////////////////////////////////////////////////////////////////////////////////////////////\\n/////\\n/////\\n///// CLAMPING CODE\\n/////\\n///// Clamping Plan: \\n//// 1. Read in list of selected citations and tokens to be clamped\\n//// 2. Only clamp if citationID is in list\\n/////////////////////////////////////////////////////////////////////////////////////////////// \\n \\n \\n if (topClusters.containsKey(citTable.citationID)) {\\n ArrayList<String> citValues = topClusters.get(citTable.citationID);\\n \\n FileInputStream fInStream3 = new FileInputStream(baseDir + \\\"/data/PubMed_HighEntropy/\\\" \\n + filename + \\\".test.raw\\\"); \\n DataInputStream in3 = new DataInputStream(fInStream3);\\n BufferedReader br3 = new BufferedReader(new InputStreamReader(in3));\\n for (int line=0; line<instance; line++) {\\n citation = br3.readLine();\\n }\\n StringTokenizer tok = new StringTokenizer(citation.toLowerCase(),\\n \\\" \\\", true);\\n \\n //FIGURE OUT TOKEN POSITION FROM CHARACTER POSITION HERE\\n if (instance==26) \\n {\\n System.out.println(\\\"STOP\\\");\\n }\\n int fflag = 1;\\n int charPos = Integer.parseInt(citValues.get(0).trim());\\n int charLength = 0;\\n int pos = 0;\\n while (charLength < charPos) {\\n //System.out.println(CRFout.seqs.length);\\n// if(pos<CRFout.seqs.length) {\\n// charLength += CRFout.seqs[pos].length() + 1;\\n// pos++;\\n// }\\n if (tok.hasMoreTokens()) {\\n String tt = tok.nextToken();\\n int count = StringUtils.countMatches(tt, \\\"-\\\");\\n int countb = StringUtils.countMatches(tt, \\\"--\\\");\\n int count2 = StringUtils.countMatches(tt, \\\",\\\");\\n int count3 = StringUtils.countMatches(tt, \\\":\\\");\\n \\n charLength += tt.length();\\n //System.out.println(tt);\\n if (!tt.equals(\\\" \\\"))\\n pos++;\\n for (int i=0; i<(count-2*countb); i++) {\\n pos++;\\n }\\n for (int i=0; i<countb; i++) {\\n pos++;\\n }\\n for (int i=0; i<count2; i++) {\\n pos++;\\n }\\n }\\n else{\\n break;\\n }\\n }\\n \\n\\n// path = segment(testRecord, testData.groupedTokens(), collect,pos, \\n// Integer.parseInt(citValues.get(2).trim()));\\n \\n //Convert from text to truth label\\n String lab = citValues.get(2).toLowerCase().trim();\\n int label = -1;\\n// if (lab.equals(\\\"title\\\")) {\\n// label = 0;\\n// }\\n// else if (lab.equals(\\\"author\\\")) {\\n// label = 1;\\n// }\\n// else if (lab.equals(\\\"conference\\\")) {\\n// label = 2;\\n// }\\n// else if (lab.equals(\\\"isbn\\\")) {\\n// label = 3;\\n// }\\n// else if (lab.equals(\\\"publisher\\\")) {\\n// label = 4;\\n// }\\n// else if (lab.equals(\\\"series\\\")) {\\n// label = 5;\\n// }\\n// else if (lab.equals(\\\"proceedings\\\")) {\\n// label = 6;\\n// }\\n// else if (lab.equals(\\\"year\\\")) {\\n// label = 7;\\n// }\\n \\n if (lab.equals(\\\"title\\\")) {\\n label = 0;\\n }\\n else if (lab.equals(\\\"source\\\")) {\\n label = 1;\\n }\\n else if (lab.equals(\\\"author\\\")) {\\n label = 2;\\n }\\n else if (lab.equals(\\\"issue\\\")) {\\n label = 3;\\n }\\n else if (lab.equals(\\\"volume\\\")) {\\n label = 4;\\n }\\n else if (lab.equals(\\\"pages\\\")) {\\n label = 5;\\n }\\n else if (lab.equals(\\\"year\\\")) {\\n label = 6;\\n }\\n \\n path = segment(testRecord, testData.groupedTokens(), collect, pos, label);\\n\\n //FileWriter testf = new FileWriter(baseDir + \\\"/data/testf.txt\\\", true);\\n \\n //testf.write(citValues.get(3) + \\\" - \\\" + CRFout.seqs[pos] + \\\"\\\\n\\\");\\n //testf.close();\\n }\\n //\\t\\t\\tfor (int i = 0; i < token.length; i++) {\\n//\\t\\t\\t\\tif (i == marginal.getMaxEntropyNode()) {\\n//\\t\\t\\t\\t\\ttdw1 = new TestDataWrite(baseDir + \\\"/data/\\\" + inName + \\\"/\\\"\\n//\\t\\t\\t\\t\\t\\t+ \\\"tempTagged\\\" + \\\".test\\\", baseDir + \\\"/data/\\\" + inName\\n//\\t\\t\\t\\t\\t\\t+ \\\"/\\\" + inName + \\\".test\\\", delimit, tagDelimit,\\n//\\t\\t\\t\\t\\t\\timpDelimit, labelMap);\\n//\\n//\\t\\t\\t\\t\\ttdw1.writeRecord(token, token.length, instance);\\n//\\t\\t\\t\\t\\ttdw1.close();\\n//\\n//\\t\\t\\t\\t\\t/* With Clamping */\\n//\\t\\t\\t\\t\\t\\n//\\t\\t\\t\\t\\tif (i==0) {\\n//\\t\\t\\t\\t\\t\\tpath = segment(testRecord, testData.groupedTokens(), collect,\\n//\\t\\t\\t\\t\\t\\t\\t\\ti, token[i], token[i+1],1);\\n//\\t\\t\\t\\t\\t}\\n//\\t\\t\\t\\t\\telse if (i==token.length) {\\n//\\t\\t\\t\\t\\t\\tpath = segment(testRecord, testData.groupedTokens(), collect,\\n//\\t\\t\\t\\t\\t\\t\\t\\ti, token[i-1], token[i],1);\\n//\\t\\t\\t\\t\\t}\\n//\\t\\t\\t\\t\\telse {\\n//\\t\\t\\t\\t\\t\\t////////////////////\\n//\\t\\t\\t\\t\\t\\tpath = segment(testRecord, testData.groupedTokens(), collect,\\n//\\t\\t\\t\\t\\t\\t\\t\\ti, token[i], token[i-1], token[i+1]);\\n//\\t\\t\\t\\t\\t\\t////////////////////\\n//\\t\\t\\t\\t\\t}\\n// \\t\\t\\tTestDataWrite tdw2 = new TestDataWrite(baseDir + \\\"/\\\" + outDirec + \\\"/\\\" + outDir + \\\"/\\\"\\n//\\t\\t\\t\\t\\t\\t+ inName + \\\".test\\\", baseDir + \\\"/data/\\\" + inName + \\\"/\\\"\\n//\\t\\t\\t\\t\\t\\t+ inName + \\\".test\\\", delimit, tagDelimit, impDelimit,\\n//\\t\\t\\t\\t\\t\\tlabelMap);\\n TestDataWrite tdw2 = new TestDataWrite(baseDir + \\\"/\\\" + outDirec + \\\"/\\\" + outDir + \\\"/\\\"\\n\\t\\t\\t\\t\\t\\t+ inName + \\\".test\\\", baseDir + \\\"/data/PubMed_HighEntropy/\\\" \\n\\t\\t\\t\\t\\t\\t+ filename + \\\".test\\\", delimit, tagDelimit, impDelimit,\\n\\t\\t\\t\\t\\t\\tlabelMap);\\n\\t\\t\\t\\t\\ttdw2.writeRecord(path, testRecord.length(), instance);\\n\\t\\t\\t\\t\\ttdw2.close();\\n//\\n\\t\\t\\t\\t\\tdouble f1After = calcWith(testRecord);\\n//\\t\\t\\t\\t\\n//\\t\\t\\t\\t\\n//\\t\\t\\t\\t// Prints the accuracy after clamping the maximum entropy node //\\n//\\t\\t\\t\\t\\n//\\t\\t\\t\\t\\t//f.write(f1[i] + \\\" \\\");\\n//\\t\\t\\t\\t\\tMarginals _marginal = new Marginals(crfModel, testRecord,\\n//\\t\\t\\t\\t\\t\\t\\tnull);\\n//\\t\\t\\t\\t\\t_marginal.compute(i, token[i]);\\n//\\t\\t\\t\\t\\t_marginal.computeMarginal();\\n//\\t\\t\\t\\t\\t_marginal.normalize();\\n//\\t\\t\\t\\t\\t_marginal.calculateEntropy(i,method);\\n//\\t\\t\\t\\t\\t//f.write(_marginal.averageEntropy() + \\\" \\\");\\n//\\t\\t\\t\\t\\t/////////////////////////////////////////////////////////////////////////////////////\\n//\\t\\t\\t\\t\\t////////////////////////////////////////////////////////////////////////////////////\\n//\\t\\t\\t\\t\\tdouble THRESH = 0.13;\\n//\\t\\t\\t\\t\\tdouble f1After = calcWith(testRecord);\\n//\\t\\t\\t\\t\\t\\n//\\t\\t\\t\\t\\t\\t\\t//marginal.getNumMaxEntropyNodes(THRESH) + \\\" \\\");\\n//\\t\\t\\t\\t\\t//////////////\\n//\\t\\t\\t\\t\\t\\n//\\t\\t\\t\\t\\tturkerData.add(new TurkerData(rawline, seq, marginal\\n//\\t\\t\\t\\t\\t\\t\\t.getNumMaxEntropyNodes(THRESH), marginal.getMaxEntropyNode(),\\n//\\t\\t\\t\\t\\t\\t\\tf1Before,f1After,marginal.getEntropy(i), marginal.getNumMaxEntropyNodes(THRESH)));\\n//\\t\\t\\t\\t\\t/////////////\\n//\\t\\t\\t\\t\\t////////////////////////////////////////////////////////////////////////////////////\\n//\\t\\t\\t\\t\\t////////////////////////////////////////////////////////////////////////////////////\\n//\\t\\t\\t\\t}\\n//\\t\\t\\t}\\n\\n\\t\\t\\tinstance++;\\n //////////////////////////////////////////////////////////////////////////////////////////////////// \\n// f2.write(citTable.citationID + \\\", \\\\\\\"\\\" + citTable.rawText + \\\"\\\\\\\"\\\\n\\\");\\n// for (int line=0; line<CRFout.seqs.length; line++) {\\n// f.write(CRFout.citationID + \\\", \\\" \\n// //+ citTable.rawText.indexOf(CRFout.seqs[line]) + \\\", \\\\\\\"\\\"\\n// + line + \\\", \\\\\\\"\\\"\\n// + CRFout.seqs[line] + \\\"\\\\\\\", \\\" \\n// + Integer.toString(CRFout.trueLabels[line]) + \\\", \\\"\\n// + Integer.toString(CRFout.autoLabels[line]) + \\\", \\\"\\n// + Double.toString(CRFout.totalMarginal[line][0]) + \\\", \\\"\\n// + Double.toString(CRFout.totalMarginal[line][1]) + \\\", \\\"\\n// + Double.toString(CRFout.totalMarginal[line][2]) + \\\", \\\"\\n// + Double.toString(CRFout.totalMarginal[line][3]) + \\\", \\\"\\n// + Double.toString(CRFout.totalMarginal[line][4]) + \\\", \\\"\\n// + Double.toString(CRFout.totalMarginal[line][5]) + \\\", \\\"\\n// + Double.toString(CRFout.totalMarginal[line][6]) + \\\", \\\"\\n// + Double.toString(CRFout.totalMarginal[line][7]) + \\\", \\\"\\n// + Double.toString(CRFout.entropy[line]) + \\\"\\\\n\\\"\\n// );\\n// }\\n \\n// for (int line=0; line<CRFout.seqs.length; line++) {\\n// f3.write(citTable.citationID + \\\", \\\"\\n// + line + \\\", \\\"\\n// + \\\"\\\\\\\"\\\" + CRFout.seqs[line] + \\\"\\\\\\\", \\\"\\n// + CRFout.token[line] + \\\"\\\\n\\\");\\n// }\\n \\n ////////////////////////////////////////////////////////////////////////////////////// \\n\\n int clamped = -1;\\n\\n if (topClusters.containsKey(citTable.citationID)) {\\n clamped = 1;\\n }\\n else {\\n clamped = 0;\\n }\\n \\n// facc.write(citTable.citationID + \\\", \\\" + f1Before + \\\", \\\" + f1After + \\\", \\\" + clamped + \\\"\\\\n\\\");\\n \\n\\n ArrayList<String> citValue = topClusters.get(citTable.citationID);\\n if (citValue.size()>=4) {\\n if (citValue.get(4)!=null) {\\n facc.write(citTable.citationID + \\\", \\\" + f1Before + \\\", \\\" + f1After + \\\", \\\"\\n + citValue.get(4) + \\\", \\\" + citValue.get(1) + \\\"\\\\n\\\");\\n }\\n }\\n //if (marginal.getMaxEntropyNode() < token.length){\\n\\t\\t\\t\\t//f.write(Double.toString(f1[marginal.getMaxEntropyNode()]) + \\\" \\\");\\n\\t\\t\\t//}\\n\\t\\t\\t//int count = 0;\\n\\n\\t\\t\\t/* count of the number of nodes with accuracy improvement more than\\n\\t\\t\\t * that of the maximum entropy node.\\n\\t\\t\\t */\\n\\t\\t\\t//for (int i = 0; i < token.length; i++) {\\n\\t\\t\\t//\\tif ((f1[marginal.getMaxEntropyNode()] <= f1[i])\\n\\t\\t\\t//\\t\\t\\t&& (i != marginal.getMaxEntropyNode()))\\n\\t\\t\\t//\\t\\tcount++;\\n\\t\\t\\t//}\\n\\t\\t\\t//f.write(\\\"\\\\n\\\");\\n\\n\\t\\t\\t//f.write(Integer.toString(count) + \\\"\\\\n\\\");\\n\\t\\t}\\n\\t\\t// tdw1.close();\\n\\t\\t// tdw.close();\\n\\t\\t// f.write(\\\"\\\\n\\\");\\n\\t\\t\\n\\t\\t// tdw.close();\\n\\t\\t// testData = new TestData(baseDir + \\\"/data/\\\" + inName + \\\"/\\\" + inName\\n\\t\\t// + \\\".test\\\", delimit, impDelimit, groupDelimit);\\n\\t\\t// calc();\\n\\n\\t\\t//f2.write(\\\"\\\\n\\\\n\\\");\\n\\t\\t// Sort the turkerdata\\n\\t\\t\\n//\\t\\tCollections.sort(turkerData, new Comparator<TurkerData>() {\\n//\\t\\t\\tpublic int compare(TurkerData data1, TurkerData data2) {\\n//\\t\\t\\t\\treturn (data2.maxEntropy > data1.maxEntropy) ? 1 : 0;\\n//\\t\\t\\t}\\n//\\t\\t});\\n//\\t\\tdouble BUDGET = 1;\\n//\\t\\tfor (int i=0; i<BUDGET; i++) {\\n//\\t\\t\\t//f_3.write(turkerData.get(i).beforeClampingScore + \\\" \\\" + \\n//\\t\\t\\t\\t\\t//turkerData.get(i).afterClampingScore + \\\" \\\" +\\n//\\t\\t\\t\\t\\t//turkerData.get(i).maxEntropy + \\\" \\\" +\\n//\\t\\t\\t\\t\\t//turkerData.get(i).maxEntropyNode + \\\"\\\\n\\\");\\n//\\t\\t}\\n//\\t\\t//f2.write(\\\"\\\\n\\\\n\\\");\\n//\\t\\t// Sort the turkerdata\\n//\\t\\tCollections.sort(turkerData, new Comparator<TurkerData>() {\\n//\\t\\t\\tpublic int compare(TurkerData data1, TurkerData data2) {\\n//\\t\\t\\t\\treturn (data2.maxNum > data1.maxNum) ? 1 : 0;\\n//\\t\\t\\t}\\n//\\t\\t});\\n//\\t\\tfor (int i=0; i<BUDGET; i++) {\\n//\\t\\t\\t//f_3.write(turkerData.get(i).beforeClampingScore + \\\" \\\" + \\n//\\t\\t\\t\\t\\t//turkerData.get(i).afterClampingScore + \\\" \\\" +\\n//\\t\\t\\t\\t\\t//turkerData.get(i).maxNum + \\\" \\\" +\\n//\\t\\t\\t\\t\\t//turkerData.get(i).maxEntropy + \\\"\\\\n\\\");\\n//\\t\\t}\\n\\t\\t//f3.write(\\\"\\\\n\\\\n\\\");\\n\\t\\t//generateTopK(2);\\n\\t\\n\\n\\t\\t\\n\\t\\tf.close();\\n f2.close();\\n f3.close();\\n// facc.close();\\n// double acc = (double)rightToks/(double)totalToks;\\n// System.out.println(\\\"Correct tokens: \\\" + rightToks);\\n// System.out.println(\\\"Total tokens: \\\" + totalToks);\\n// System.out.println(\\\"Accuracy: \\\" + acc);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8794534ab53978d2b5179da94925dd54\",\n \"score\": \"0.62821716\",\n \"text\": \"@Test(timeout = 4000)\\n public void test40() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(regressionByDiscretization0);\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(capabilities0);\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(testInstances0);\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n \\n Instances instances0 = testInstances0.generate(\\\"|J\\\");\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(instances0);\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(3, instances0.classIndex());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20, instances0.size());\\n \\n Capabilities capabilities1 = Capabilities.forInstances(instances0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(capabilities1);\\n assertFalse(capabilities1.equals((Object)capabilities0));\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(3, instances0.classIndex());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20, instances0.size());\\n assertEquals(1, capabilities1.getMinimumNumberInstances());\\n assertFalse(capabilities1.hasDependencies());\\n assertNotSame(capabilities0, capabilities1);\\n assertNotSame(capabilities1, capabilities0);\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(evaluation0);\\n assertFalse(capabilities0.equals((Object)capabilities1));\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(3, instances0.classIndex());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20, instances0.size());\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n \\n // Undeclared exception!\\n try { \\n evaluation0.weightedMatthewsCorrelation();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3410295edee564fc8ea7abbae4795d97\",\n \"score\": \"0.6277995\",\n \"text\": \"@Test(timeout = 4000)\\n public void test35() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertNotNull(regressionByDiscretization0);\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertNotNull(capabilities0);\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(testInstances0);\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n \\n Instances instances0 = testInstances0.generate(\\\"|J\\\");\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(instances0);\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertNotNull(evaluation0);\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(1, testInstances0.getNumDate());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(20, instances0.size());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n \\n try { \\n evaluation0.toClassDetailsString();\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Exception e) {\\n //\\n // Evaluation: No per class statistics possible!\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"26167dfb76c0499357e1d7f61c627592\",\n \"score\": \"0.62705046\",\n \"text\": \"@Test(timeout = 4000)\\n public void test42() throws Throwable {\\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertNotNull(regressionByDiscretization0);\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertNotNull(capabilities0);\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(testInstances0);\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertFalse(testInstances0.getNoClass());\\n \\n Instances instances0 = testInstances0.generate(\\\"|J\\\");\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(instances0);\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(evaluation0);\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n \\n double[] doubleArray0 = new double[9];\\n doubleArray0[0] = (double) 2;\\n doubleArray0[1] = (double) (-2);\\n doubleArray0[2] = (double) 1;\\n doubleArray0[3] = (double) 0;\\n evaluation0.setNumericPriorsFromBuffer();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n \\n doubleArray0[4] = (double) 2;\\n doubleArray0[5] = (double) 0;\\n doubleArray0[6] = (double) 0;\\n DenseInstance denseInstance0 = new DenseInstance(1, doubleArray0);\\n assertEquals(6, AbstractInstance.s_numericAfterDecimalPoint);\\n assertNotNull(denseInstance0);\\n assertArrayEquals(new double[] {2.0, (-2.0), 1.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0}, doubleArray0, 0.01);\\n assertEquals(1.0, denseInstance0.weight(), 0.01);\\n assertEquals(9, denseInstance0.numAttributes());\\n assertEquals(9, denseInstance0.numValues());\\n assertEquals(9, doubleArray0.length);\\n \\n boolean boolean0 = FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"|J\\\");\\n assertFalse(boolean0);\\n \\n double[] doubleArray1 = new double[3];\\n assertFalse(doubleArray1.equals((Object)doubleArray0));\\n \\n doubleArray1[0] = (double) 2;\\n doubleArray1[1] = (double) 2;\\n doubleArray1[2] = (double) 1;\\n evaluation0.updateMargins(doubleArray1, 2, 3284.69134);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertArrayEquals(new double[] {2.0, 2.0, 1.0}, doubleArray1, 0.01);\\n assertFalse(doubleArray1.equals((Object)doubleArray0));\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(3, doubleArray1.length);\\n assertNotSame(doubleArray1, doubleArray0);\\n \\n double double0 = evaluation0.SFMeanPriorEntropy();\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n \\n try { \\n evaluation0.updateStatsForPredictor((-1), denseInstance0);\\n fail(\\\"Expecting exception: RuntimeException\\\");\\n \\n } catch(RuntimeException e) {\\n //\\n // DenseInstance doesn't have access to a dataset!\\n //\\n verifyException(\\\"weka.core.AbstractInstance\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0bed2fc034b0ebd12f4f278a525dbb87\",\n \"score\": \"0.62626475\",\n \"text\": \"@Test(timeout = 4000)\\n public void test09() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate((String) null);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n int[] intArray0 = new int[6];\\n intArray0[3] = (-1);\\n intArray0[1] = (-2);\\n intArray0[2] = (-2);\\n intArray0[3] = (-2);\\n CostSensitiveClassifier costSensitiveClassifier0 = new CostSensitiveClassifier();\\n double double0 = evaluation0.SFMeanPriorEntropy();\\n assertEquals(Double.NaN, double0, 0.01);\\n \\n double double1 = evaluation0.weightedRecall();\\n Evaluation evaluation1 = new Evaluation(instances0);\\n evaluation1.setDiscardPredictions(false);\\n double double2 = evaluation0.KBRelativeInformation();\\n assertEquals(0.0, double2, 0.01);\\n \\n evaluation0.incorrect();\\n double double3 = evaluation0.weightedFalsePositiveRate();\\n assertEquals(double3, double1, 0.01);\\n assertEquals(Double.NaN, double3, 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8dfaa898bc0d57d2c78fed4ed022ff1b\",\n \"score\": \"0.62595165\",\n \"text\": \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n \\n String[] stringArray0 = new String[5];\\n stringArray0[0] = \\\".bsi\\\";\\n stringArray0[1] = \\\".arff\\\";\\n stringArray0[2] = \\\"@relation\\\";\\n Evaluation evaluation1 = new Evaluation(instances0);\\n evaluation0.useNoPriors();\\n assertEquals(Double.NaN, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93c4faac024be236e122b0991b6ffebc\",\n \"score\": \"0.62496316\",\n \"text\": \"float getEntropyScore();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ab98766dc59ea6a99ecdd14dcf840bb0\",\n \"score\": \"0.62223434\",\n \"text\": \"@Test(timeout = 4000)\\n public void test41() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n EvoSuiteFile evoSuiteFile0 = new EvoSuiteFile(\\\"/home/ubuntu/wekafiles/props\\\");\\n byte[] byteArray0 = new byte[5];\\n byteArray0[0] = (byte)47;\\n byteArray0[1] = (byte)47;\\n byteArray0[2] = (byte)47;\\n byteArray0[3] = (byte) (-82);\\n byteArray0[4] = (byte)67;\\n FileSystemHandling.appendDataToFile(evoSuiteFile0, byteArray0);\\n Attribute attribute0 = new Attribute(\\\"\\\\\\\"position\\\\\\\"has unknown type\\\");\\n Attribute attribute1 = new Attribute(\\\"string\\\");\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"string\\\", arrayList0, 1);\\n discretize0.setInputFormat(instances0);\\n discretize0.m_NumBins = 1;\\n FileSystemHandling.setPermissions(evoSuiteFile0, false, false, false);\\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualWidthBinning(3);\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef37b9bb94a765e015e36ca043569ed7\",\n \"score\": \"0.62133086\",\n \"text\": \"@Test(timeout = 4000)\\n public void test49() throws Throwable {\\n EvoSuiteFile evoSuiteFile0 = new EvoSuiteFile(\\\"/home/ubuntu/wekafiles\\\");\\n boolean boolean0 = FileSystemHandling.shouldThrowIOException(evoSuiteFile0);\\n assertTrue(boolean0);\\n \\n RegressionByDiscretization regressionByDiscretization0 = new RegressionByDiscretization();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(regressionByDiscretization0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n \\n Capabilities capabilities0 = regressionByDiscretization0.getCapabilities();\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertNotNull(capabilities0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n \\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(testInstances0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n \\n Instances instances0 = testInstances0.generate(\\\" \\\");\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(instances0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(3, instances0.classIndex());\\n \\n Evaluation evaluation0 = new Evaluation(instances0);\\n assertEquals(2, RegressionByDiscretization.ESTIMATOR_NORMAL);\\n assertEquals(1, RegressionByDiscretization.ESTIMATOR_KERNEL);\\n assertEquals(0, RegressionByDiscretization.ESTIMATOR_HISTOGRAM);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertNotNull(evaluation0);\\n assertFalse(regressionByDiscretization0.getDebug());\\n assertFalse(regressionByDiscretization0.getMinimizeAbsoluteError());\\n assertEquals(\\\"Number of bins for discretization.\\\", regressionByDiscretization0.numBinsTipText());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", regressionByDiscretization0.debugTipText());\\n assertEquals(10, regressionByDiscretization0.getNumBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", regressionByDiscretization0.useEqualFrequencyTipText());\\n assertEquals(\\\"Whether to minimize absolute error.\\\", regressionByDiscretization0.minimizeAbsoluteErrorTipText());\\n assertFalse(regressionByDiscretization0.getDeleteEmptyBins());\\n assertEquals(\\\"The base classifier to be used.\\\", regressionByDiscretization0.classifierTipText());\\n assertEquals(\\\"Whether to delete empty bins after discretization.\\\", regressionByDiscretization0.deleteEmptyBinsTipText());\\n assertEquals(\\\"The density estimator to use.\\\", regressionByDiscretization0.estimatorTypeTipText());\\n assertFalse(regressionByDiscretization0.getUseEqualFrequency());\\n assertTrue(capabilities0.hasDependencies());\\n assertEquals(2, capabilities0.getMinimumNumberInstances());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumDate());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getNumRelationalDate());\\n assertEquals(4, testInstances0.getNumAttributes());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getClassType());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals(1, testInstances0.getNumNumeric());\\n assertEquals(1, testInstances0.getNumRelationalNumeric());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(4, instances0.numAttributes());\\n assertEquals(20, instances0.numInstances());\\n assertEquals(20.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(20, instances0.size());\\n assertFalse(instances0.checkForStringAttributes());\\n assertEquals(1, instances0.numClasses());\\n assertEquals(\\\"Testdata\\\", instances0.relationName());\\n assertEquals(3, instances0.classIndex());\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n \\n // Undeclared exception!\\n try { \\n evaluation0.unweightedMicroFmeasure();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"32fb3df49ef6d9974dcba3cceab3dc68\",\n \"score\": \"0.61819917\",\n \"text\": \"@Test(timeout = 4000)\\n public void test22() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n double[][] doubleArray0 = new double[12][8];\\n String[] stringArray0 = new String[6];\\n stringArray0[0] = \\\"-R\\\";\\n stringArray0[1] = \\\"_\\\";\\n stringArray0[2] = \\\"^oR9z\\\";\\n stringArray0[3] = \\\"inf\\\";\\n stringArray0[4] = \\\"f3cB;\\\";\\n discretize0.setDesiredWeightOfInstancesPerInterval(4.6);\\n stringArray0[5] = \\\"Getting output instance\\\";\\n discretize0.setOptions(stringArray0);\\n discretize0.setUseEqualFrequency(false);\\n discretize0.getRevision();\\n discretize0.setMakeBinary(true);\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.getBinRangesString(9);\\n assertTrue(discretize0.getMakeBinary());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"336a378a9c40b86dce2e16c170074c16\",\n \"score\": \"0.6169091\",\n \"text\": \"@Test\\n public void fullCoverageTest() throws ClassNotFoundException, JMetalException {\\n Solution solution ;\\n for (int i = 0 ; i< solutionSetSize_; i++) {\\n solution = new Solution(problem_);\\n solution.setObjective(0, i);\\n solution.setObjective(1, solutionSetSize_ - 1 - i);\\n solutionSet1_.add(solution);\\n }\\n // Creating set (0.5,N), (1.5, N-1), (2.5, N-2), ... , (N-1+0.5, 1)\\n for (int i = 0 ; i< solutionSetSize_; i++) {\\n solution = new Solution(problem_);\\n solution.setObjective(0, i+0.5);\\n solution.setObjective(1, solutionSetSize_ - i);\\n solutionSet2_.add(solution);\\n }\\n\\n assertEquals(1.0, new SetCoverage().setCoverage(solutionSet1_, solutionSet2_), EPSILON) ;\\n assertEquals(0.0, new SetCoverage().setCoverage(solutionSet2_, solutionSet1_), EPSILON) ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4d7a960047c8f95dc0ab5b57fab49540\",\n \"score\": \"0.6133836\",\n \"text\": \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n doubleArray0[0] = (double) 64;\\n Version.MINOR = 493;\\n doubleArray0[1] = 1608.2289599268;\\n doubleArray0[4] = (double) 64;\\n doubleArray0[3] = (double) 64;\\n doubleArray0[4] = (double) 64;\\n doubleArray0[5] = (double) 64;\\n doubleArray0[6] = (double) 64;\\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 1.0);\\n double[] doubleArray1 = new double[2];\\n doubleArray1[1] = (double) 64;\\n double double0 = evaluation0.weightedFalseNegativeRate();\\n double double1 = evaluation0.meanAbsoluteError();\\n assertEquals(double1, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, double1, 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bf65f1e543ef47aec7546efe2ffa407e\",\n \"score\": \"0.6109458\",\n \"text\": \"@Test\\n public void vulnerableXenHypervisorProbabilityTest() {\\n Sampler.isDeterministic = false;\\n assertEquals(\\\"Did not bypass IDSs.\\\", 0.75, probabilityTest(new VulnerableXenHypervisorProbabilityTest()), 0.1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"61029f039dd0c40f100ece6b9e94861d\",\n \"score\": \"0.6108396\",\n \"text\": \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n CostSensitiveClassifier costSensitiveClassifier0 = new CostSensitiveClassifier();\\n assertEquals(2, CostSensitiveClassifier.MATRIX_SUPPLIED);\\n assertEquals(1, CostSensitiveClassifier.MATRIX_ON_DEMAND);\\n assertNotNull(costSensitiveClassifier0);\\n assertEquals(\\\"The random number seed to be used.\\\", costSensitiveClassifier0.seedTipText());\\n assertFalse(costSensitiveClassifier0.getDebug());\\n assertEquals(\\\"A metaclassifier that makes its base classifier cost-sensitive. Two methods can be used to introduce cost-sensitivity: reweighting training instances according to the total cost assigned to each class; or predicting the class with minimum expected misclassification cost (rather than the most likely class). Performance can often be improved by using a Bagged classifier to improve the probability estimates of the base classifier.\\\", costSensitiveClassifier0.globalInfo());\\n assertEquals(\\\"Sets whether the minimum expected cost criteria will be used. If this is false, the training data will be reweighted according to the costs assigned to each class. If true, the minimum expected cost criteria will be used.\\\", costSensitiveClassifier0.minimizeExpectedCostTipText());\\n assertEquals(\\\"Sets the directory where cost files are loaded from. This option is used when the costMatrixSource is set to \\\\\\\"On Demand\\\\\\\".\\\", costSensitiveClassifier0.onDemandDirectoryTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", costSensitiveClassifier0.classifierTipText());\\n assertFalse(costSensitiveClassifier0.getMinimizeExpectedCost());\\n assertEquals(1, costSensitiveClassifier0.getSeed());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", costSensitiveClassifier0.debugTipText());\\n assertEquals(\\\"Sets the cost matrix explicitly. This matrix is used if the costMatrixSource property is set to \\\\\\\"Supplied\\\\\\\".\\\", costSensitiveClassifier0.costMatrixTipText());\\n assertEquals(0, costSensitiveClassifier0.graphType());\\n \\n CostMatrix costMatrix0 = costSensitiveClassifier0.getCostMatrix();\\n assertEquals(2, CostSensitiveClassifier.MATRIX_SUPPLIED);\\n assertEquals(1, CostSensitiveClassifier.MATRIX_ON_DEMAND);\\n assertNotNull(costMatrix0);\\n assertEquals(\\\"The random number seed to be used.\\\", costSensitiveClassifier0.seedTipText());\\n assertFalse(costSensitiveClassifier0.getDebug());\\n assertEquals(\\\"A metaclassifier that makes its base classifier cost-sensitive. Two methods can be used to introduce cost-sensitivity: reweighting training instances according to the total cost assigned to each class; or predicting the class with minimum expected misclassification cost (rather than the most likely class). Performance can often be improved by using a Bagged classifier to improve the probability estimates of the base classifier.\\\", costSensitiveClassifier0.globalInfo());\\n assertEquals(\\\"Sets whether the minimum expected cost criteria will be used. If this is false, the training data will be reweighted according to the costs assigned to each class. If true, the minimum expected cost criteria will be used.\\\", costSensitiveClassifier0.minimizeExpectedCostTipText());\\n assertEquals(\\\"Sets the directory where cost files are loaded from. This option is used when the costMatrixSource is set to \\\\\\\"On Demand\\\\\\\".\\\", costSensitiveClassifier0.onDemandDirectoryTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", costSensitiveClassifier0.classifierTipText());\\n assertFalse(costSensitiveClassifier0.getMinimizeExpectedCost());\\n assertEquals(1, costSensitiveClassifier0.getSeed());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", costSensitiveClassifier0.debugTipText());\\n assertEquals(\\\"Sets the cost matrix explicitly. This matrix is used if the costMatrixSource property is set to \\\\\\\"Supplied\\\\\\\".\\\", costSensitiveClassifier0.costMatrixTipText());\\n assertEquals(0, costSensitiveClassifier0.graphType());\\n assertEquals(1, costMatrix0.numRows());\\n assertEquals(1, costMatrix0.numColumns());\\n assertEquals(1, costMatrix0.size());\\n \\n try { \\n Evaluation.evaluateModel((Classifier) costSensitiveClassifier0, (String[]) null);\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Exception e) {\\n //\\n // \\n // Weka exception: null\\n // \\n // General options:\\n // \\n // -h or -help\\n // \\\\tOutput help information.\\n // -synopsis or -info\\n // \\\\tOutput synopsis for classifier (use in conjunction with -h)\\n // -t <name of training file>\\n // \\\\tSets training file.\\n // -T <name of test file>\\n // \\\\tSets test file. If missing, a cross-validation will be performed\\n // \\\\ton the training data.\\n // -c <class index>\\n // \\\\tSets index of class attribute (default: last).\\n // -x <number of folds>\\n // \\\\tSets number of folds for cross-validation (default: 10).\\n // -no-cv\\n // \\\\tDo not perform any cross validation.\\n // -split-percentage <percentage>\\n // \\\\tSets the percentage for the train/test set split, e.g., 66.\\n // -preserve-order\\n // \\\\tPreserves the order in the percentage split.\\n // -s <random number seed>\\n // \\\\tSets random number seed for cross-validation or percentage split\\n // \\\\t(default: 1).\\n // -m <name of file with cost matrix>\\n // \\\\tSets file with cost matrix.\\n // -l <name of input file>\\n // \\\\tSets model input file. In case the filename ends with '.xml',\\n // \\\\ta PMML file is loaded or, if that fails, options are loaded\\n // \\\\tfrom the XML file.\\n // -d <name of output file>\\n // \\\\tSets model output file. In case the filename ends with '.xml',\\n // \\\\tonly the options are saved to the XML file, not the model.\\n // -v\\n // \\\\tOutputs no statistics for training data.\\n // -o\\n // \\\\tOutputs statistics only, not the classifier.\\n // -i\\n // \\\\tOutputs detailed information-retrieval statistics for each class.\\n // -k\\n // \\\\tOutputs information-theoretic statistics.\\n // -classifications \\\\\\\"weka.classifiers.evaluation.output.prediction.AbstractOutput + options\\\\\\\"\\n // \\\\tUses the specified class for generating the classification output.\\n // \\\\tE.g.: weka.classifiers.evaluation.output.prediction.PlainText\\n // -p range\\n // \\\\tOutputs predictions for test instances (or the train instances if\\n // \\\\tno test instances provided and -no-cv is used), along with the \\n // \\\\tattributes in the specified range (and nothing else). \\n // \\\\tUse '-p 0' if no attributes are desired.\\n // \\\\tDeprecated: use \\\\\\\"-classifications ...\\\\\\\" instead.\\n // -distribution\\n // \\\\tOutputs the distribution instead of only the prediction\\n // \\\\tin conjunction with the '-p' option (only nominal classes).\\n // \\\\tDeprecated: use \\\\\\\"-classifications ...\\\\\\\" instead.\\n // -r\\n // \\\\tOnly outputs cumulative margin distribution.\\n // -g\\n // \\\\tOnly outputs the graph representation of the classifier.\\n // -xml filename | xml-string\\n // \\\\tRetrieves the options from the XML-data instead of the command line.\\n // -threshold-file <file>\\n // \\\\tThe file to save the threshold data to.\\n // \\\\tThe format is determined by the extensions, e.g., '.arff' for ARFF \\n // \\\\tformat or '.csv' for CSV.\\n // -threshold-label <label>\\n // \\\\tThe class label to determine the threshold data for\\n // \\\\t(default is the first label)\\n // \\n // Options specific to weka.classifiers.meta.CostSensitiveClassifier:\\n // \\n // -M\\n // \\\\tMinimize expected misclassification cost. Default is to\\n // \\\\treweight training instances according to costs per class\\n // -C <cost file name>\\n // \\\\tFile name of a cost matrix to use. If this is not supplied,\\n // \\\\ta cost matrix will be loaded on demand. The name of the\\n // \\\\ton-demand file is the relation name of the training data\\n // \\\\tplus \\\\\\\".cost\\\\\\\", and the path to the on-demand file is\\n // \\\\tspecified with the -N option.\\n // -N <directory>\\n // \\\\tName of a directory to search for cost files when loading\\n // \\\\tcosts on demand (default current directory).\\n // -cost-matrix <matrix>\\n // \\\\tThe cost matrix in Matlab single line format.\\n // -S <num>\\n // \\\\tRandom number seed.\\n // \\\\t(default 1)\\n // -D\\n // \\\\tIf set, classifier is run in debug mode and\\n // \\\\tmay output additional info to the console\\n // -W\\n // \\\\tFull name of base classifier.\\n // \\\\t(default: weka.classifiers.rules.ZeroR)\\n // \\n // Options specific to classifier weka.classifiers.rules.ZeroR:\\n // \\n // -D\\n // \\\\tIf set, classifier is run in debug mode and\\n // \\\\tmay output additional info to the console\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dbf23642f7a8d6ef5c80b9c43e055b6a\",\n \"score\": \"0.6093524\",\n \"text\": \"public double entropyPotential() {\\n \\n return (-1.0);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e46fd90c4497bf2ddeccf61edf80ef95\",\n \"score\": \"0.6091422\",\n \"text\": \"@Test(timeout = 4000)\\n public void test32() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Attribute attribute0 = new Attribute(\\\".ycf\\\");\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"string\\\", arrayList0, 2);\\n boolean boolean0 = discretize0.setInputFormat(instances0);\\n assertFalse(boolean0);\\n \\n discretize0.calculateCutPoints();\\n String string0 = discretize0.getBinRangesString(0);\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(\\\"All\\\", string0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"65411f74542c5574bbbeaf6a426d4acd\",\n \"score\": \"0.6065099\",\n \"text\": \"@Test\\n public void testAutomated_readability_index() {\\n System.out.println(\\\"automated_readability_index\\\");\\n String strText = TEST_STRING;\\n double expResult = 143.2;\\n double result = ReadabilityStatistics.automated_readability_index(strText);\\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"02b932cbca7aef4bd7591c0fec257d46\",\n \"score\": \"0.60606086\",\n \"text\": \"@org.junit.Test(timeout = 10000)\\n public void testGetFalsePositiveProbability_cf7590() {\\n // These probabilities are taken from the bloom filter probability table at\\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\\n java.lang.System.out.println(\\\"expectedFalsePositiveProbability\\\");\\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\\n double expResult = 0.00819;// m/n=10, k=7\\n \\n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\\n expResult = 0.00819;// m/n=10, k=7\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\\n expResult = 0.393;// m/n=2, k=1\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\\n expResult = 0.00509;// m/n=11, k=8\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\\n org.junit.Assert.assertEquals(8, instance.getHashCount());\\n // StatementAdderOnAssert create random local variable\\n byte[] vc_1543 = new byte []{109,86,75};\\n // StatementAddOnAssert local variable replacement\\n com.clearspring.analytics.stream.membership.BloomFilter mergeBf = ((com.clearspring.analytics.stream.membership.BloomFilter) (bf2.merge(bf)));\\n // AssertGenerator replace invocation\\n boolean o_testGetFalsePositiveProbability_cf7590__44 = // StatementAdderMethod cloned existing statement\\nmergeBf.isPresent(vc_1543);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertFalse(o_testGetFalsePositiveProbability_cf7590__44);\\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"708da27346521e23389bff04cd38abd6\",\n \"score\": \"0.60372037\",\n \"text\": \"public double getCoverage() {\\n return ((double) numExamplesParsed) / numExamples;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9ed4a1833deeb64b30ee9b91689a19a7\",\n \"score\": \"0.6031614\",\n \"text\": \"@org.junit.Test(timeout = 10000)\\n public void testGetFalsePositiveProbability_cf7656() {\\n // These probabilities are taken from the bloom filter probability table at\\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\\n java.lang.System.out.println(\\\"expectedFalsePositiveProbability\\\");\\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\\n double expResult = 0.00819;// m/n=10, k=7\\n \\n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\\n expResult = 0.00819;// m/n=10, k=7\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\\n expResult = 0.393;// m/n=2, k=1\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\\n expResult = 0.00509;// m/n=11, k=8\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\\n org.junit.Assert.assertEquals(8, instance.getHashCount());\\n // StatementAdderOnAssert create random local variable\\n byte[] vc_1575 = new byte []{};\\n // StatementAdderMethod cloned existing statement\\n instance.add(vc_1575);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)instance).getHashCount(), 8);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)instance).buckets(), 192);\\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc90dd8287d24db0509443bd8ce5753f\",\n \"score\": \"0.601703\",\n \"text\": \"@Override\\n public double getFeatureCoverage() {\\n return featureCoverage_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d959c3113fcf916afb48cd0d0a29eb4f\",\n \"score\": \"0.59963477\",\n \"text\": \"@Test\\n\\tpublic void testSingleCrossingScenarioEqualDemandCapacityRatio(){\\n\\t\\tFixture fixture = new Fixture(900, 1800, 0.0, Regime.COMBINED);\\n\\t\\tSignalAnalysisTool signalAnalyzer = new SignalAnalysisTool();\\n\\t\\tDelayAnalysisTool generalAnalyzer = fixture.run(signalAnalyzer);\\n\\t\\t\\n\\t\\tMap<Id<SignalGroup>, Double> totalSignalGreenTimes = signalAnalyzer.getTotalSignalGreenTime(); \\n\\t\\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycle = signalAnalyzer.calculateAvgSignalGreenTimePerFlexibleCycle(); \\n\\t\\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystem = signalAnalyzer.calculateAvgFlexibleCycleTimePerSignalSystem(); \\n\\t\\tMap<Id<Link>, Double> avgDelayPerLink = generalAnalyzer.getAvgDelayPerLink();\\n\\t\\tDouble avgDelayWE = avgDelayPerLink.get(Id.createLinkId(\\\"2_3\\\"));\\n\\t\\tDouble avgDelayNS = avgDelayPerLink.get(Id.createLinkId(\\\"7_3\\\"));\\n\\t\\t\\n\\t\\tlog.info(\\\"total signal green times: \\\" + totalSignalGreenTimes.get(signalGroupId1) + \\\", \\\" + totalSignalGreenTimes.get(signalGroupId2));\\n\\t\\tlog.info(\\\"avg signal green times per cycle: \\\" + avgSignalGreenTimePerCycle.get(signalGroupId1) + \\\", \\\"\\n\\t\\t\\t\\t+ avgSignalGreenTimePerCycle.get(signalGroupId2));\\n\\t\\tlog.info(\\\"avg cycle time per system: \\\" + avgCycleTimePerSystem.get(signalSystemId));\\n\\t\\tlog.info(\\\"avg delay per link: \\\" + avgDelayWE + \\\", \\\" + avgDelayNS);\\n\\t\\t\\n\\t\\tAssert.assertEquals(\\\"total signal green times should not differ more than 1%\\\", 1, \\n\\t\\t\\t\\ttotalSignalGreenTimes.get(signalGroupId1)/totalSignalGreenTimes.get(signalGroupId2), 0.01);\\n\\t\\tAssert.assertEquals(\\\"avg signal green times per cycle should not differ more than 1%\\\", \\n\\t\\t\\t\\t1, avgSignalGreenTimePerCycle.get(signalGroupId1)/avgSignalGreenTimePerCycle.get(signalGroupId2), 0.01);\\n//\\t\\tAssert.assertEquals(\\\"avg delay per vehicle per link should not differ more than 5%\\\", 1, avgDelayWE/avgDelayNS, 0.05);\\n\\t\\t/* I commented the last line out because the delay strongly depends on the stabilizing regime, namely the arrival rates that are used.\\n\\t\\t * Even if I use fixed average arrival rates of 0.5 per lane and link, the delays of both directions do not correlate.\\n\\t\\t * Maybe that is okay since the signal green times are still the same, i.e. only the green phases are distributed differently over the simulation time...?\\n\\t\\t * theresa, jun'2020\\n\\t\\t */\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"428d0516709a45c5fc51b4abdb99d48e\",\n \"score\": \"0.59715986\",\n \"text\": \"@Test(timeout = 4000)\\n public void test54() throws Throwable {\\n FileSystemHandling.setPermissions((EvoSuiteFile) null, false, false, true);\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Attribute attribute0 = new Attribute(\\\"\\\\\\\"position\\\\\\\" has unknown type\\\");\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"HuI)L44;vn \\\", arrayList0, 1);\\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(1);\\n instances0.add((Instance) binarySparseInstance0);\\n discretize0.setInputFormat(instances0);\\n discretize0.setUseEqualFrequency(true);\\n double[] doubleArray0 = new double[1];\\n doubleArray0[0] = 3800.84988;\\n SparseInstance sparseInstance0 = new SparseInstance(3800.84988, doubleArray0);\\n instances0.add((Instance) sparseInstance0);\\n sparseInstance0.setValue(attribute0, (double) 1);\\n SparseInstance sparseInstance1 = new SparseInstance(sparseInstance0);\\n sparseInstance1.toString(attribute0);\\n FileSystemHandling.setPermissions((EvoSuiteFile) null, false, false, false);\\n binarySparseInstance0.isMissing(attribute0);\\n instances0.add((Instance) sparseInstance1);\\n Filter.useFilter(instances0, discretize0);\\n discretize0.calculateCutPoints();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"440f20938dbec66be0dc120df7086b46\",\n \"score\": \"0.5971292\",\n \"text\": \"@Test\\n public void testColeman_liau_index() {\\n System.out.println(\\\"coleman_liau_index\\\");\\n String strText = TEST_STRING;\\n double expResult = 6.8;\\n double result = ReadabilityStatistics.coleman_liau_index(strText);\\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2fef099118fccfe8227481d2ccacc0b2\",\n \"score\": \"0.59163314\",\n \"text\": \"@Test(timeout = 4000)\\n public void test10() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n doubleArray0[0] = (double) 69;\\n Version.MINOR = 493;\\n doubleArray0[1] = 1608.2289599268;\\n doubleArray0[4] = (double) 69;\\n doubleArray0[3] = (double) 69;\\n doubleArray0[4] = (double) 69;\\n doubleArray0[5] = (double) 69;\\n doubleArray0[6] = (double) 69;\\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 1.0);\\n double[] doubleArray1 = new double[2];\\n doubleArray1[1] = (double) 69;\\n textDirectoryLoader0.getDataSet();\\n Evaluation evaluation1 = new Evaluation(instances0);\\n evaluation0.SFMeanPriorEntropy();\\n RandomSubSpace randomSubSpace0 = new RandomSubSpace();\\n String string0 = Evaluation.makeOptionString(randomSubSpace0, true);\\n assertNotNull(string0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fb037c5d52c29724a43fe2ee14715834\",\n \"score\": \"0.58994853\",\n \"text\": \"@Test(timeout = 4000)\\n public void test16() throws Throwable {\\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\";C|gT,;vK_X2tBONoGI\\\";\\n MockRandom mockRandom0 = new MockRandom(1110L);\\n mockRandom0.doubles();\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate();\\n MockRandom mockRandom1 = new MockRandom(3328L);\\n instances0.randomize(mockRandom1);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toCumulativeMarginDistributionString();\\n evaluation0.setDiscardPredictions(false);\\n evaluation0.KBRelativeInformation();\\n evaluation0.incorrect();\\n evaluation0.weightedFalsePositiveRate();\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n textDirectoryLoader0.getOptions();\\n evaluation0.toSummaryString(true);\\n AttributeSelectedClassifier attributeSelectedClassifier0 = new AttributeSelectedClassifier();\\n evaluation0.SFSchemeEntropy();\\n evaluation0.weightedFalseNegativeRate();\\n String string1 = Evaluation.makeOptionString(attributeSelectedClassifier0, false);\\n assertFalse(string1.equals((Object)string0));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"16c438cda8dc6b584d118f3877408d31\",\n \"score\": \"0.58981955\",\n \"text\": \"@Test(timeout = 4000)\\n public void test28() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Attribute attribute0 = new Attribute(\\\"\\\\\\\"position\\\\\\\"has unknown type\\\");\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"date\\\", arrayList0, 2);\\n discretize0.setInputFormat(instances0);\\n discretize0.calculateCutPoints();\\n discretize0.setOutputFormat();\\n DenseInstance denseInstance0 = new DenseInstance(2);\\n discretize0.input(denseInstance0);\\n Random.setNextRandom(123);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e6e29d953eb1b1ad376c668d47e7b5a4\",\n \"score\": \"0.5894027\",\n \"text\": \"@Override\\n public double getFeatureCoverage() {\\n return featureCoverage_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac3be5e7e8002767a4232ee165c046f7\",\n \"score\": \"0.5893812\",\n \"text\": \"@Test\\n public void testFlesch_kincaid_grade_level() {\\n System.out.println(\\\"flesch_kincaid_grade_level\\\");\\n String strText = TEST_STRING;\\n double expResult = 112.3;\\n double result = ReadabilityStatistics.flesch_kincaid_grade_level(strText);\\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"72d7f3d92872453d4a5d30d3b1df815f\",\n \"score\": \"0.58857125\",\n \"text\": \"@Test\\n public void testDale_chall_grade() {\\n System.out.println(\\\"dale_chall_grade\\\");\\n String strText = TEST_STRING;\\n double expResult = 16.0;\\n double result = ReadabilityStatistics.dale_chall_grade(strText);\\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"699b81a8d533705cf81ef0fa3481b4a8\",\n \"score\": \"0.58855385\",\n \"text\": \"@Test\\n\\tpublic void testSingleCrossingScenarioLowVsHighDemandWithMinG(){\\n\\t\\tFixture fixture = new Fixture(90, 1800, 5.0, Regime.COMBINED);\\n\\t\\tSignalAnalysisTool signalAnalyzer = new SignalAnalysisTool();\\n\\t\\tDelayAnalysisTool generalAnalyzer = fixture.run(signalAnalyzer);\\n\\t\\t\\n\\t\\tMap<Id<SignalGroup>, Double> totalSignalGreenTimes = signalAnalyzer.getTotalSignalGreenTime(); \\n\\t\\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycle = signalAnalyzer.calculateAvgSignalGreenTimePerFlexibleCycle(); \\n\\t\\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystem = signalAnalyzer.calculateAvgFlexibleCycleTimePerSignalSystem(); \\n\\t\\tMap<Id<Link>, Double> avgDelayPerLink = generalAnalyzer.getAvgDelayPerLink();\\n\\t\\tDouble avgDelayWE = avgDelayPerLink.get(Id.createLinkId(\\\"2_3\\\"));\\n\\t\\tDouble avgDelayNS = avgDelayPerLink.get(Id.createLinkId(\\\"7_3\\\"));\\n\\t\\t\\n\\t\\tlog.info(\\\"total signal green times: \\\" + totalSignalGreenTimes.get(signalGroupId1) + \\\", \\\" + totalSignalGreenTimes.get(signalGroupId2));\\n\\t\\tlog.info(\\\"avg signal green times per cycle: \\\" + avgSignalGreenTimePerCycle.get(signalGroupId1) + \\\", \\\"\\n\\t\\t\\t\\t+ avgSignalGreenTimePerCycle.get(signalGroupId2));\\n\\t\\tlog.info(\\\"avg cycle time per system: \\\" + avgCycleTimePerSystem.get(signalSystemId));\\n\\t\\tlog.info(\\\"avg delay per link: \\\" + avgDelayWE + \\\", \\\" + avgDelayNS);\\n\\t\\t\\n\\t\\tAssert.assertTrue(\\\"total signal green time of WE-direction should be higher than NS-direction\\\", \\n\\t\\t\\t\\ttotalSignalGreenTimes.get(signalGroupId1)-totalSignalGreenTimes.get(signalGroupId2) > 0);\\n\\t\\tAssert.assertTrue(\\\"avg signal green time per cycle of WE-direction should be higher than NS-direction\\\", \\n\\t\\t\\t\\tavgSignalGreenTimePerCycle.get(signalGroupId1)-avgSignalGreenTimePerCycle.get(signalGroupId2) > 0);\\n\\t\\tAssert.assertEquals(\\\"avg signal green time per cycle of NS-direction should be the minimum green time of 5 seconds\\\", \\n\\t\\t\\t\\t5.0, avgSignalGreenTimePerCycle.get(signalGroupId2), MatsimTestUtils.EPSILON);\\n\\t\\tAssert.assertTrue(\\\"cycle time should stay below 90 seconds\\\", avgCycleTimePerSystem.get(signalSystemId) <= 90);\\n\\t\\tAssert.assertTrue(\\\"avg delay per vehicle on WS-direction should be less than on NS-direction\\\", avgDelayWE<avgDelayNS);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d5b2bedb3b169ac4bf6eb3651dbccb8e\",\n \"score\": \"0.587961\",\n \"text\": \"@Test(timeout = 4000)\\n public void test35() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String[] stringArray0 = new String[6];\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n SystemInUtil.addInputLine(\\\".ycf\\\");\\n Attribute attribute0 = new Attribute(\\\".ycf\\\", 62);\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\") can't be established.\\\", arrayList0, 4);\\n discretize0.setInputFormat(instances0);\\n discretize0.m_DesiredWeightOfInstancesPerInterval = 0.1111111111111111;\\n stringArray0[0] = \\\") can't be established.\\\";\\n stringArray0[1] = \\\") can't be established.\\\";\\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning(0);\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e48c03ee221e510873da25939e63942a\",\n \"score\": \"0.58751196\",\n \"text\": \"@Test\\n\\tpublic void testSingleCrossingScenarioWithDifferentFlowCapacityFactors(){\\n\\t\\tFixture fixtureFlowCap1 = new Fixture(360, 1800, 0.0, Regime.COMBINED);\\n\\t\\tSignalAnalysisTool signalAnalyzerFlowCap1 = new SignalAnalysisTool();\\n\\t\\tDelayAnalysisTool generalAnalyzerFlowCap1 = fixtureFlowCap1.run(signalAnalyzerFlowCap1);\\n\\t\\t\\n\\t\\tFixture fixtureFlowCap2 = new Fixture(360, 1800, 0.0, Regime.COMBINED);\\n\\t\\tfixtureFlowCap2.doublePopulation();\\n\\t\\tSignalAnalysisTool signalAnalyzerFlowCap2 = new SignalAnalysisTool();\\n\\t\\tDelayAnalysisTool generalAnalyzerFlowCap2 = fixtureFlowCap2.run(signalAnalyzerFlowCap2);\\n\\t\\t\\n\\t\\tMap<Id<SignalGroup>, Double> totalSignalGreenTimesFlowCap2 = signalAnalyzerFlowCap2.getTotalSignalGreenTime(); \\n\\t\\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycleFlowCap2 = signalAnalyzerFlowCap2.calculateAvgSignalGreenTimePerFlexibleCycle(); \\n\\t\\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystemFlowCap2 = signalAnalyzerFlowCap2.calculateAvgFlexibleCycleTimePerSignalSystem(); \\n\\t\\tMap<Id<Link>, Double> avgDelayPerLinkFlowCap2 = generalAnalyzerFlowCap2.getAvgDelayPerLink();\\n\\t\\t\\n\\t\\tlog.info(\\\"*** flow capacity 2.0 ***\\\");\\n\\t\\tlog.info(\\\"total signal green times: \\\" + totalSignalGreenTimesFlowCap2.get(signalGroupId1) + \\\", \\\" + totalSignalGreenTimesFlowCap2.get(signalGroupId2));\\n\\t\\tlog.info(\\\"avg signal green times per cycle: \\\" + avgSignalGreenTimePerCycleFlowCap2.get(signalGroupId1) + \\\", \\\"\\n\\t\\t\\t\\t+ avgSignalGreenTimePerCycleFlowCap2.get(signalGroupId2));\\n\\t\\tlog.info(\\\"avg cycle time per system: \\\" + avgCycleTimePerSystemFlowCap2.get(signalSystemId));\\n\\t\\tlog.info(\\\"avg delay per link: \\\" + avgDelayPerLinkFlowCap2.get(Id.createLinkId(\\\"2_3\\\")) + \\\", \\\" + avgDelayPerLinkFlowCap2.get(Id.createLinkId(\\\"7_3\\\")));\\n\\t\\tlog.info(\\\"Total delay: \\\" + generalAnalyzerFlowCap2.getTotalDelay());\\n\\t\\t\\n\\t\\tMap<Id<SignalGroup>, Double> totalSignalGreenTimesFlowCap1 = signalAnalyzerFlowCap1.getTotalSignalGreenTime(); \\n\\t\\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycleFlowCap1 = signalAnalyzerFlowCap1.calculateAvgSignalGreenTimePerFlexibleCycle(); \\n\\t\\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystemFlowCap1 = signalAnalyzerFlowCap1.calculateAvgFlexibleCycleTimePerSignalSystem(); \\n\\t\\tMap<Id<Link>, Double> avgDelayPerLinkFlowCap1 = generalAnalyzerFlowCap1.getAvgDelayPerLink();\\n\\n\\t\\tlog.info(\\\"*** flow capacity 1.0 ***\\\");\\n\\t\\tlog.info(\\\"total signal green times: \\\" + totalSignalGreenTimesFlowCap1.get(signalGroupId1) + \\\", \\\" + totalSignalGreenTimesFlowCap1.get(signalGroupId2));\\n\\t\\tlog.info(\\\"avg signal green times per cycle: \\\" + avgSignalGreenTimePerCycleFlowCap1.get(signalGroupId1) + \\\", \\\"\\n\\t\\t\\t\\t+ avgSignalGreenTimePerCycleFlowCap1.get(signalGroupId2));\\n\\t\\tlog.info(\\\"avg cycle time per system: \\\" + avgCycleTimePerSystemFlowCap1.get(signalSystemId));\\n\\t\\tlog.info(\\\"avg delay per link: \\\" + avgDelayPerLinkFlowCap1.get(Id.createLinkId(\\\"2_3\\\")) + \\\", \\\" + avgDelayPerLinkFlowCap1.get(Id.createLinkId(\\\"7_3\\\")));\\n\\t\\tlog.info(\\\"Total delay: \\\" + generalAnalyzerFlowCap1.getTotalDelay());\\n\\t\\t\\n\\t\\tAssert.assertEquals(\\\"total signal green times should not differ\\\", 1, \\n\\t\\t\\t\\ttotalSignalGreenTimesFlowCap1.get(signalGroupId1)/totalSignalGreenTimesFlowCap2.get(signalGroupId1), 0.01);\\n\\t\\tAssert.assertEquals(\\\"total signal green times should not differ\\\", 1, \\n\\t\\t\\t\\ttotalSignalGreenTimesFlowCap1.get(signalGroupId2)/totalSignalGreenTimesFlowCap2.get(signalGroupId2), 0.01);\\n\\t\\tAssert.assertEquals(\\\"avg signal green times per cycle should not differ\\\", avgSignalGreenTimePerCycleFlowCap1.get(signalGroupId1), \\n\\t\\t\\t\\tavgSignalGreenTimePerCycleFlowCap2.get(signalGroupId1), 0.1);\\n\\t\\tAssert.assertEquals(\\\"avg signal green times per cycle should not differ\\\", avgSignalGreenTimePerCycleFlowCap1.get(signalGroupId2), \\n\\t\\t\\t\\tavgSignalGreenTimePerCycleFlowCap2.get(signalGroupId2), 0.1);\\n\\t\\tAssert.assertEquals(\\\"avg cycle time should not differ\\\", avgCycleTimePerSystemFlowCap1.get(signalSystemId),\\n\\t\\t\\t\\tavgCycleTimePerSystemFlowCap2.get(signalSystemId), 0.1);\\n\\t\\tAssert.assertEquals(\\\"avg delay per vehicle per link should not differ\\\", \\n\\t\\t\\t\\tavgDelayPerLinkFlowCap1.get(Id.createLinkId(\\\"2_3\\\")), avgDelayPerLinkFlowCap2.get(Id.createLinkId(\\\"2_3\\\")), 0.1);\\n\\t\\tAssert.assertEquals(\\\"avg delay per vehicle per link should not differ\\\", \\n\\t\\t\\t\\tavgDelayPerLinkFlowCap1.get(Id.createLinkId(\\\"7_3\\\")), avgDelayPerLinkFlowCap2.get(Id.createLinkId(\\\"7_3\\\")), 2);\\n\\t\\tAssert.assertEquals(\\\"total delay for doubled demand should be doubled\\\", 2, generalAnalyzerFlowCap2.getTotalDelay()/generalAnalyzerFlowCap1.getTotalDelay(), 0.1);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3354ad0d6d1197be15430a0597436004\",\n \"score\": \"0.58744055\",\n \"text\": \"@Test\\n public void testFlesch_kincaid_reading_ease() {\\n System.out.println(\\\"flesch_kincaid_reading_ease\\\");\\n String strText = TEST_STRING;\\n double expResult = -188.4;\\n double result = ReadabilityStatistics.flesch_kincaid_reading_ease(strText);\\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ce84876270f932f5c128633afa04df8\",\n \"score\": \"0.5872681\",\n \"text\": \"Reference getCoverage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4c7c00d76e8bbbcbfdce051c6968e6fd\",\n \"score\": \"0.58706814\",\n \"text\": \"@Test\\n public void test09() throws Throwable {\\n Frequency frequency0 = new Frequency((Comparator) null);\\n double double0 = frequency0.getPct(0L);\\n frequency0.addValue(1598L);\\n double double1 = frequency0.getCumPct((-2476));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9a8de4c9a757dd1e01c8ad1ac1dfa7cc\",\n \"score\": \"0.586664\",\n \"text\": \"@org.junit.Test(timeout = 10000)\\n public void testGetFalsePositiveProbability_cf7643_cf10382_failAssert0() {\\n // AssertGenerator generate try/catch block with fail statement\\n try {\\n // MethodAssertGenerator build local variable\\n Object o_44_1 = 150080;\\n // These probabilities are taken from the bloom filter probability table at\\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\\n java.lang.System.out.println(\\\"expectedFalsePositiveProbability\\\");\\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\\n double expResult = 0.00819;// m/n=10, k=7\\n \\n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n // MethodAssertGenerator build local variable\\n Object o_10_0 = instance.getHashCount();\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\\n expResult = 0.00819;// m/n=10, k=7\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n // MethodAssertGenerator build local variable\\n Object o_19_0 = instance.getHashCount();\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\\n expResult = 0.393;// m/n=2, k=1\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\\n // MethodAssertGenerator build local variable\\n Object o_28_0 = instance.getHashCount();\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\\n expResult = 0.00509;// m/n=11, k=8\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\\n // MethodAssertGenerator build local variable\\n Object o_37_0 = instance.getHashCount();\\n // StatementAddOnAssert local variable replacement\\n com.clearspring.analytics.stream.membership.BloomFilter mergeBf = ((com.clearspring.analytics.stream.membership.BloomFilter) (bf2.merge(bf)));\\n // AssertGenerator replace invocation\\n int o_testGetFalsePositiveProbability_cf7643__42 = // StatementAdderMethod cloned existing statement\\nmergeBf.emptyBuckets();\\n // MethodAssertGenerator build local variable\\n Object o_44_0 = o_testGetFalsePositiveProbability_cf7643__42;\\n // StatementAdderOnAssert create null value\\n java.lang.String vc_2194 = (java.lang.String)null;\\n // StatementAdderOnAssert create null value\\n com.clearspring.analytics.stream.membership.BloomFilter vc_2192 = (com.clearspring.analytics.stream.membership.BloomFilter)null;\\n // StatementAdderMethod cloned existing statement\\n vc_2192.add(vc_2194);\\n org.junit.Assert.fail(\\\"testGetFalsePositiveProbability_cf7643_cf10382 should have thrown NullPointerException\\\");\\n } catch (java.lang.NullPointerException eee) {\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"61c303dff56d544a134491674e7adb34\",\n \"score\": \"0.5865269\",\n \"text\": \"@Test(timeout = 4000)\\n public void test34() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Attribute attribute0 = new Attribute(\\\"vjsx8!w\\\");\\n LinkedList<Locale.LanguageRange> linkedList0 = new LinkedList<Locale.LanguageRange>();\\n ArrayList<String> arrayList1 = new ArrayList<String>();\\n List<String> list0 = Locale.filterTags((List<Locale.LanguageRange>) linkedList0, (Collection<String>) arrayList1);\\n List<String> list1 = Locale.filterTags((List<Locale.LanguageRange>) linkedList0, (Collection<String>) list0);\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n Attribute attribute1 = new Attribute(\\\"@attribute\\\", list1, protectedProperties0);\\n arrayList0.add(attribute1);\\n Instances instances0 = new Instances(\\\"string\\\", arrayList0, 4);\\n discretize0.setInputFormat(instances0);\\n discretize0.calculateCutPoints();\\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualWidthBinning(3);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 3\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c5feb6a1c99a5b5706afd76ec76c8ac7\",\n \"score\": \"0.5855916\",\n \"text\": \"@org.junit.Test(timeout = 10000)\\n public void testGetFalsePositiveProbability_cf7625() {\\n // These probabilities are taken from the bloom filter probability table at\\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\\n java.lang.System.out.println(\\\"expectedFalsePositiveProbability\\\");\\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\\n double expResult = 0.00819;// m/n=10, k=7\\n \\n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\\n expResult = 0.00819;// m/n=10, k=7\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\\n expResult = 0.393;// m/n=2, k=1\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\\n expResult = 0.00509;// m/n=11, k=8\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\\n org.junit.Assert.assertEquals(8, instance.getHashCount());\\n // StatementAdderOnAssert create null value\\n com.clearspring.analytics.stream.membership.Filter[] vc_1558 = (com.clearspring.analytics.stream.membership.Filter[])null;\\n // StatementAddOnAssert local variable replacement\\n com.clearspring.analytics.stream.membership.BloomFilter mergeBf = ((com.clearspring.analytics.stream.membership.BloomFilter) (bf2.merge(bf)));\\n // AssertGenerator replace invocation\\n com.clearspring.analytics.stream.membership.Filter o_testGetFalsePositiveProbability_cf7625__44 = // StatementAdderMethod cloned existing statement\\nmergeBf.merge(vc_1558);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)o_testGetFalsePositiveProbability_cf7625__44).getHashCount(), 10);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)o_testGetFalsePositiveProbability_cf7625__44).buckets(), 150080);\\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0fc50c4778508df8fe4d69c52c2eb9d7\",\n \"score\": \"0.5845964\",\n \"text\": \"@org.junit.Test(timeout = 10000)\\n public void testGetFalsePositiveProbability_cf7623() {\\n // These probabilities are taken from the bloom filter probability table at\\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\\n java.lang.System.out.println(\\\"expectedFalsePositiveProbability\\\");\\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\\n double expResult = 0.00819;// m/n=10, k=7\\n \\n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\\n expResult = 0.00819;// m/n=10, k=7\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\\n expResult = 0.393;// m/n=2, k=1\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\\n expResult = 0.00509;// m/n=11, k=8\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\\n org.junit.Assert.assertEquals(8, instance.getHashCount());\\n // StatementAdderOnAssert create null value\\n com.clearspring.analytics.stream.membership.Filter[] vc_1558 = (com.clearspring.analytics.stream.membership.Filter[])null;\\n // AssertGenerator replace invocation\\n com.clearspring.analytics.stream.membership.Filter o_testGetFalsePositiveProbability_cf7623__41 = // StatementAdderMethod cloned existing statement\\ninstance.merge(vc_1558);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)o_testGetFalsePositiveProbability_cf7623__41).buckets(), 192);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)o_testGetFalsePositiveProbability_cf7623__41).getHashCount(), 8);\\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"85dfe69e7352b19e68c43b79cc1cfa09\",\n \"score\": \"0.58379865\",\n \"text\": \"@org.junit.Test(timeout = 10000)\\n public void testGetFalsePositiveProbability_cf7646() {\\n // These probabilities are taken from the bloom filter probability table at\\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\\n java.lang.System.out.println(\\\"expectedFalsePositiveProbability\\\");\\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\\n double expResult = 0.00819;// m/n=10, k=7\\n \\n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\\n expResult = 0.00819;// m/n=10, k=7\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\\n expResult = 0.393;// m/n=2, k=1\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\\n expResult = 0.00509;// m/n=11, k=8\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\\n org.junit.Assert.assertEquals(8, instance.getHashCount());\\n // AssertGenerator replace invocation\\n java.lang.String o_testGetFalsePositiveProbability_cf7646__39 = // StatementAdderMethod cloned existing statement\\ninstance.toString();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_testGetFalsePositiveProbability_cf7646__39, \\\"{}\\\");\\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"698e81af1f85436314dfd85615e9dd8b\",\n \"score\": \"0.58377105\",\n \"text\": \"@Test(timeout = 4000)\\n public void test07() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getOptions();\\n double[][] doubleArray0 = new double[12][8];\\n discretize0.getRevision();\\n discretize0.setMakeBinary(true);\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.getBinRangesString(9);\\n assertTrue(discretize0.getMakeBinary());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"048cac068e107213400de08e022f86c2\",\n \"score\": \"0.5837184\",\n \"text\": \"@org.junit.Test(timeout = 10000)\\n public void testGetFalsePositiveProbability_cf7609() {\\n // These probabilities are taken from the bloom filter probability table at\\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\\n java.lang.System.out.println(\\\"expectedFalsePositiveProbability\\\");\\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\\n double expResult = 0.00819;// m/n=10, k=7\\n \\n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\\n expResult = 0.00819;// m/n=10, k=7\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\\n expResult = 0.393;// m/n=2, k=1\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\\n expResult = 0.00509;// m/n=11, k=8\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\\n org.junit.Assert.assertEquals(8, instance.getHashCount());\\n // StatementAdderOnAssert create null value\\n com.clearspring.analytics.stream.membership.BloomFilter vc_1550 = (com.clearspring.analytics.stream.membership.BloomFilter)null;\\n // AssertGenerator replace invocation\\n com.clearspring.analytics.stream.membership.BloomFilter o_testGetFalsePositiveProbability_cf7609__41 = // StatementAdderMethod cloned existing statement\\nvc_1550.alwaysMatchingBloomFilter();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)o_testGetFalsePositiveProbability_cf7609__41).buckets(), 64);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)o_testGetFalsePositiveProbability_cf7609__41).getHashCount(), 1);\\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"261a2a0e3994509c73f891361905da2f\",\n \"score\": \"0.5830887\",\n \"text\": \"@Test\\n\\tpublic void testSingleCrossingScenarioLowVsHighDemandWoMinG(){\\n\\t\\tFixture fixture = new Fixture(90, 1800, 0.0, Regime.COMBINED);\\n\\t\\tSignalAnalysisTool signalAnalyzer = new SignalAnalysisTool();\\n\\t\\tDelayAnalysisTool generalAnalyzer = fixture.run(signalAnalyzer);\\n\\t\\t\\n\\t\\tMap<Id<SignalGroup>, Double> totalSignalGreenTimes = signalAnalyzer.getTotalSignalGreenTime(); \\n\\t\\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycle = signalAnalyzer.calculateAvgSignalGreenTimePerFlexibleCycle(); \\n\\t\\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystem = signalAnalyzer.calculateAvgFlexibleCycleTimePerSignalSystem(); \\n\\t\\tMap<Id<Link>, Double> avgDelayPerLink = generalAnalyzer.getAvgDelayPerLink();\\n\\t\\tDouble avgDelayWE = avgDelayPerLink.get(Id.createLinkId(\\\"2_3\\\"));\\n\\t\\tDouble avgDelayNS = avgDelayPerLink.get(Id.createLinkId(\\\"7_3\\\"));\\n\\t\\t\\n\\t\\tlog.info(\\\"total signal green times: \\\" + totalSignalGreenTimes.get(signalGroupId1) + \\\", \\\" + totalSignalGreenTimes.get(signalGroupId2));\\n\\t\\tlog.info(\\\"avg signal green times per cycle: \\\" + avgSignalGreenTimePerCycle.get(signalGroupId1) + \\\", \\\"\\n\\t\\t\\t\\t+ avgSignalGreenTimePerCycle.get(signalGroupId2));\\n\\t\\tlog.info(\\\"avg cycle time per system: \\\" + avgCycleTimePerSystem.get(signalSystemId));\\n\\t\\tlog.info(\\\"avg delay per link: \\\" + avgDelayWE + \\\", \\\" + avgDelayNS);\\n\\t\\t\\n\\t\\tAssert.assertTrue(\\\"total signal green time of WE-direction should be higher than NS-direction\\\", \\n\\t\\t\\t\\ttotalSignalGreenTimes.get(signalGroupId1)-totalSignalGreenTimes.get(signalGroupId2) > 0);\\n\\t\\tAssert.assertTrue(\\\"avg signal green time per cycle of WE-direction should be higher than NS-direction\\\", \\n\\t\\t\\t\\tavgSignalGreenTimePerCycle.get(signalGroupId1)-avgSignalGreenTimePerCycle.get(signalGroupId2) > 0);\\n\\t\\tAssert.assertTrue(\\\"avg signal green time per cycle of NS-direction should be less than 5 seconds\\\", avgSignalGreenTimePerCycle.get(signalGroupId2) < 5.0);\\n\\t\\tAssert.assertTrue(\\\"cycle time should stay below 90 seconds\\\", avgCycleTimePerSystem.get(signalSystemId) <= 90);\\n\\t\\tAssert.assertTrue(\\\"avg delay per vehicle on WS-direction should be less than on NS-direction\\\", avgDelayWE<avgDelayNS);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bbd257f816f94f9bd3f1f1b6ed097506\",\n \"score\": \"0.5824758\",\n \"text\": \"@Test(timeout = 4000)\\n public void test20() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n textDirectoryLoader0.getStructure();\\n C45Loader c45Loader0 = new C45Loader();\\n c45Loader0.setUseRelativePath(true);\\n File file0 = c45Loader0.retrieveFile();\\n textDirectoryLoader0.setDirectory(file0);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"@data\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toSummaryString(true);\\n assertEquals(\\\"=== Summary ===\\\\n\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"321084d5a48ecc5088f83fbdc29ebf48\",\n \"score\": \"0.5821725\",\n \"text\": \"@org.junit.Test\\n public void testGetFalsePositiveProbability() {\\n java.lang.System.out.println(\\\"expectedFalsePositiveProbability\\\");\\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\\n double expResult = 0.00819;// m/n=10, k=7\\n \\n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\\n expResult = 0.00819;// m/n=10, k=7\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\\n expResult = 0.393;// m/n=2, k=1\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\\n expResult = 0.00509;// m/n=11, k=8\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\\n org.junit.Assert.assertEquals(8, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"741e07a41050e3bbe6f467426383fbed\",\n \"score\": \"0.5817561\",\n \"text\": \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Attribute attribute0 = new Attribute(\\\".ycf\\\", (-1816));\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"=\\\\\\\"D>o[8X:(P;+\\\", arrayList0, 0);\\n Discretize discretize1 = new Discretize();\\n assertFalse(discretize1.getMakeBinary());\\n \\n boolean boolean0 = discretize1.setInputFormat(instances0);\\n assertFalse(boolean0);\\n \\n String[] stringArray0 = new String[0];\\n discretize1.setOptions(stringArray0);\\n assertEquals((-1.0), discretize1.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize1.getUseBinNumbers());\\n assertFalse(discretize1.getUseEqualFrequency());\\n assertFalse(discretize1.getFindNumBins());\\n assertEquals(10, discretize1.getBins());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"364e8abb2f94c94eb57248de3396dd7c\",\n \"score\": \"0.580973\",\n \"text\": \"@Test\\n public void test11() throws Throwable {\\n Frequency frequency0 = new Frequency((Comparator) null);\\n double double0 = frequency0.getPct(0L);\\n long long0 = frequency0.getCount((-1592));\\n frequency0.addValue((-1592));\\n double double1 = frequency0.getCumPct((-1592));\\n Integer integer0 = new Integer(1);\\n frequency0.addValue(integer0);\\n double double2 = frequency0.getCumPct('A');\\n long long1 = frequency0.getCount((-1592));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"65733f65a2c3b5732a14c245434ab1a1\",\n \"score\": \"0.579914\",\n \"text\": \"boolean hasEntropyScore();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9385fdd2c94f3a77237202fb6af7cafb\",\n \"score\": \"0.5794662\",\n \"text\": \"@Test\\n public void testHypergeometricCdf() {\\n System.out.println(\\\"HypergeometricCdf\\\");\\n int k = 3;\\n int n = 10;\\n int Kp = 30;\\n int Np = 100;\\n double expResult = 0.65401998866081;\\n double result = DiscreteDistributions.HypergeometricCdf(k, n, Kp, Np);\\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2eeda1d0b4f386343617de1f629cbf1\",\n \"score\": \"0.5783111\",\n \"text\": \"@Test(timeout = 4000)\\n public void test17() throws Throwable {\\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\";C|gT,;vK_X2tBONoGI\\\";\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate();\\n MockRandom mockRandom0 = new MockRandom(3328L);\\n instances0.randomize(mockRandom0);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n String string0 = evaluation0.toCumulativeMarginDistributionString();\\n assertEquals(\\\" -1 0 \\\\n\\\", string0);\\n \\n evaluation0.setDiscardPredictions(false);\\n double double0 = evaluation0.KBRelativeInformation();\\n assertEquals(0.0, double0, 0.01);\\n \\n evaluation0.incorrect();\\n double double1 = evaluation0.weightedFalsePositiveRate();\\n assertEquals(Double.NaN, double1, 0.01);\\n \\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n textDirectoryLoader0.getOptions();\\n evaluation0.toSummaryString(true);\\n AttributeSelectedClassifier attributeSelectedClassifier0 = new AttributeSelectedClassifier();\\n evaluation0.weightedFalseNegativeRate();\\n Evaluation.makeOptionString(attributeSelectedClassifier0, false);\\n evaluation0.toSummaryString(\\\" \\\", false);\\n assertEquals(Double.NaN, evaluation0.weightedFalsePositiveRate(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bcf23f2ad4e7a4255e7d966ff28f331b\",\n \"score\": \"0.5777102\",\n \"text\": \"public void updateCoverage() {\\n\\t\\tcoverage = ((noOfNodes * coverage) + 1) / noOfNodes;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dc5bf017236594d0eb6c0d81d4621e3a\",\n \"score\": \"0.5767073\",\n \"text\": \"@org.junit.Test(timeout = 10000)\\n public void testGetFalsePositiveProbability_cf7642() {\\n // These probabilities are taken from the bloom filter probability table at\\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\\n java.lang.System.out.println(\\\"expectedFalsePositiveProbability\\\");\\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\\n double expResult = 0.00819;// m/n=10, k=7\\n \\n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\\n expResult = 0.00819;// m/n=10, k=7\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n org.junit.Assert.assertEquals(7, instance.getHashCount());\\n org.junit.Assert.assertEquals(expResult, result, 9.0E-6);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\\n expResult = 0.393;// m/n=2, k=1\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\\n org.junit.Assert.assertEquals(instance.getHashCount(), 1);\\n org.junit.Assert.assertEquals(expResult, result, 5.0E-4);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 11);\\n expResult = 0.00509;// m/n=11, k=8\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\\n org.junit.Assert.assertEquals(8, instance.getHashCount());\\n // AssertGenerator replace invocation\\n int o_testGetFalsePositiveProbability_cf7642__39 = // StatementAdderMethod cloned existing statement\\ninstance.emptyBuckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_testGetFalsePositiveProbability_cf7642__39, 192);\\n org.junit.Assert.assertEquals(expResult, result, 1.0E-5);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1175fdd6c1328270042eaa0013fc271e\",\n \"score\": \"0.57562923\",\n \"text\": \"@Test\\n public void testBernoulliCdf() {\\n System.out.println(\\\"BernoulliCdf\\\");\\n int k = 1;\\n double p = 0.5;\\n double expResult = 1.0;\\n double result = DiscreteDistributions.BernoulliCdf(k, p);\\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"57caf95c0f307a19620d9af5926e5342\",\n \"score\": \"0.5750446\",\n \"text\": \"@Test\\n public void acquisitionCostTest() {\\n // TODO: test acquisitionCost\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f6d82dda0d905aa55c4fc15250a9d0c8\",\n \"score\": \"0.57497644\",\n \"text\": \"@Test(timeout = 4000)\\n public void test16() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.setAttributeIndices(\\\"\\\");\\n String[] stringArray0 = discretize0.getOptions();\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(4, stringArray0.length);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6f5c860f3a2796dc965b5358f87aa031\",\n \"score\": \"0.57473147\",\n \"text\": \"@Test(timeout = 4000)\\n public void test53() throws Throwable {\\n FileSystemHandling.setPermissions((EvoSuiteFile) null, false, false, true);\\n EvoSuiteFile evoSuiteFile0 = new EvoSuiteFile(\\\"/home/ubuntu/wekafiles\\\");\\n FileSystemHandling.appendLineToFile(evoSuiteFile0, \\\"1]ucba&\\\\\\\"wjW~2a\\\");\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Attribute attribute0 = new Attribute(\\\"\\\\\\\"position\\\\\\\" has unknown type\\\");\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"HuI)L44;vn \\\", arrayList0, 1);\\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(1);\\n instances0.add((Instance) binarySparseInstance0);\\n discretize0.setInputFormat(instances0);\\n discretize0.setUseEqualFrequency(true);\\n double[] doubleArray0 = new double[1];\\n doubleArray0[0] = 3800.84988;\\n SparseInstance sparseInstance0 = new SparseInstance(3800.84988, doubleArray0);\\n instances0.add((Instance) sparseInstance0);\\n sparseInstance0.setValue(attribute0, (double) 1);\\n SparseInstance sparseInstance1 = new SparseInstance(sparseInstance0);\\n sparseInstance1.toString(attribute0);\\n FileSystemHandling.setPermissions((EvoSuiteFile) null, false, false, false);\\n instances0.add((Instance) sparseInstance1);\\n Filter.useFilter(instances0, discretize0);\\n discretize0.setOutputFormat();\\n System.setCurrentTimeMillis(2);\\n discretize0.convertInstance(sparseInstance1);\\n System.setCurrentTimeMillis(1);\\n // Undeclared exception!\\n try { \\n discretize0.findNumBins(1);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 1\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"def6f0ab5552338836e028d7b8bd9e77\",\n \"score\": \"0.57469696\",\n \"text\": \"@Test(timeout = 4000)\\n public void test15() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getCutPoints((-1550));\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1bc5c1a15ccdc96764d278d237a2ce3e\",\n \"score\": \"0.57413566\",\n \"text\": \"@Test\\n public void testDale_chall_score() {\\n System.out.println(\\\"dale_chall_score\\\");\\n String strText = TEST_STRING;\\n double expResult = 20.486603754266213;\\n double result = ReadabilityStatistics.dale_chall_score(strText);\\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"35a02ea89c3d25597ce0616c3ed5328b\",\n \"score\": \"0.5725457\",\n \"text\": \"@Test(timeout = 4000)\\n public void test31() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n discretize0.setFindNumBins(true);\\n Attribute attribute0 = new Attribute(\\\"\\\\\\\"position\\\\\\\" has unknown type\\\");\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"real\\\", arrayList0, 1);\\n discretize0.setInputFormat(instances0);\\n double[] doubleArray0 = new double[1];\\n doubleArray0[0] = (double) 0;\\n int[] intArray0 = new int[0];\\n SparseInstance sparseInstance0 = new SparseInstance(1.7976931348623157E308, doubleArray0, intArray0, 1);\\n instances0.add((Instance) sparseInstance0);\\n SparseInstance sparseInstance1 = new SparseInstance((Instance) sparseInstance0);\\n instances0.add((Instance) sparseInstance1);\\n Filter.useFilter(instances0, discretize0);\\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning(1);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 1\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"14298b20c8bf91c6929d91d3c0b4d1f2\",\n \"score\": \"0.57183367\",\n \"text\": \"@Test\\n public void testNegativeBinomialCdf() {\\n System.out.println(\\\"NegativeBinomialCdf\\\");\\n int n = 10;\\n int r = 4;\\n double p = 0.5;\\n double expResult = 0.12705078125;\\n double result = DiscreteDistributions.NegativeBinomialCdf(n, r, p);\\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"da05c8a5888fa9cd947abfc0fe3dec77\",\n \"score\": \"0.57162416\",\n \"text\": \"private double getTotalEntropy() {\\n\\t\\tint[] countOccEach = new int[classes.size()];\\t//Array to store num occurrences of each class\\n\\t\\t\\n\\t\\tfor(int i: countOccEach){\\t\\t\\t\\t\\t\\t//Confirming each location is 0\\n\\t\\t\\tcountOccEach[i] = 0;\\n\\t\\t}\\n\\t\\t\\n\\t\\tdouble entropy = 0;\\n\\t\\tint loopCntr = 0;\\n\\t\\tfor(String s : classes){\\t\\t\\t\\t\\t\\t//Count occurrences of each class. Loop over the classes\\n\\t\\t\\tfor(int i=1 ; i<data.length; i++){\\t\\t\\t//i=1 to skip title. Loop over each case\\n\\t\\t\\t\\tif (s.equals(data[i][col-1])){\\t\\t\\t//Check if current case matches the current class being searched for\\n\\t\\t\\t\\t\\tcountOccEach[loopCntr]++;\\t\\t\\t//Increment counter on match\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tdouble occurances = countOccEach[loopCntr];\\t\\t\\t//Store the total number of occurrences of each\\n\\t\\t\\tdouble dataSize = (data.length-1);\\t\\t\\t\\t\\t//Accounting for the column headers\\n\\t\\t\\tdouble fraction = occurances/dataSize;\\n\\t\\t\\tentropy -= fraction* this.log(fraction, 2);\\t\\t\\t//Calculating the overall entropy. log() get the base2 of fraction\\n\\t\\t\\tloopCntr++;\\n\\t\\t}\\n\\t\\treturn entropy;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8d1c2f4af3966aa9ef786ec395485777\",\n \"score\": \"0.5704586\",\n \"text\": \"@Test(timeout = 4000)\\n public void test38() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n LinkedList<String> linkedList0 = new LinkedList<String>();\\n Attribute attribute0 = new Attribute(\\\"L(&4\\\", linkedList0, (-679));\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"string\\\", arrayList0, 1);\\n instances0.toString();\\n discretize0.setInputFormat(instances0);\\n discretize0.calculateCutPoints();\\n discretize0.setOutputFormat();\\n discretize0.numPendingOutput();\\n attribute0.equalsMsg(\\\"@relation string\\\\n\\\\n@attribute L(&4 {}\\\\n\\\\n@data\\\\n\\\");\\n discretize0.isNewBatch();\\n double[] doubleArray0 = new double[1];\\n doubleArray0[0] = (double) 3;\\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance((-3103.837), doubleArray0);\\n SparseInstance sparseInstance0 = new SparseInstance((SparseInstance) binarySparseInstance0);\\n discretize0.convertInstance(binarySparseInstance0);\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString(2);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 2\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"65c064137ab8e2d0f34ec79f4ff840fd\",\n \"score\": \"0.5698213\",\n \"text\": \"@Test(timeout = 4000)\\n public void test43() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Attribute attribute0 = new Attribute(\\\"\\\\\\\"position\\\\\\\"has unknown type\\\");\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"relational\\\", arrayList0, 1);\\n String[] stringArray0 = new String[7];\\n SparseInstance sparseInstance0 = new SparseInstance(2);\\n instances0.add((Instance) sparseInstance0);\\n stringArray0[0] = \\\"@data\\\";\\n stringArray0[2] = \\\"relational\\\";\\n stringArray0[3] = \\\"relational\\\";\\n stringArray0[4] = \\\"integer\\\";\\n stringArray0[5] = \\\"real\\\";\\n stringArray0[6] = \\\"date\\\";\\n discretize0.setInputFormat(instances0);\\n discretize0.setUseEqualFrequency(true);\\n double[] doubleArray0 = new double[1];\\n doubleArray0[0] = (double) 0;\\n SparseInstance sparseInstance1 = new SparseInstance(527.34601, doubleArray0);\\n instances0.add((Instance) sparseInstance1);\\n sparseInstance1.setValue(attribute0, (-2393.229239409172));\\n SparseInstance sparseInstance2 = new SparseInstance(sparseInstance1);\\n sparseInstance1.toString(attribute0);\\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, false);\\n instances0.add((Instance) sparseInstance2);\\n Filter.useFilter(instances0, discretize0);\\n discretize0.setOutputFormat();\\n System.setCurrentTimeMillis((-2594L));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"01666362f8b663c42192a78c443efa18\",\n \"score\": \"0.56968194\",\n \"text\": \"@org.junit.Test(timeout = 10000)\\n public void testGetFalsePositiveProbability_cf7643_cf10382_failAssert0_literalMutation19342() {\\n // AssertGenerator generate try/catch block with fail statement\\n try {\\n // MethodAssertGenerator build local variable\\n Object o_44_1 = 150080;\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_44_1, 150080);\\n // These probabilities are taken from the bloom filter probability table at\\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\\n java.lang.System.out.println(\\\"expectedFalsePositiveProbability\\\");\\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\\n double expResult = 0.00819;// m/n=10, k=7\\n \\n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n // MethodAssertGenerator build local variable\\n Object o_10_0 = instance.getHashCount();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_10_0, 7);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\\n expResult = 0.00819;// m/n=10, k=7\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n // MethodAssertGenerator build local variable\\n Object o_19_0 = instance.getHashCount();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_19_0, 7);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\\n expResult = 0.393;// m/n=2, k=1\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\\n // MethodAssertGenerator build local variable\\n Object o_28_0 = instance.getHashCount();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_28_0, 1);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)instance).getHashCount(), 7);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)instance).buckets(), 128);\\n expResult = 0.00509;// m/n=11, k=8\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\\n // MethodAssertGenerator build local variable\\n Object o_37_0 = instance.getHashCount();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_37_0, 7);\\n // StatementAddOnAssert local variable replacement\\n com.clearspring.analytics.stream.membership.BloomFilter mergeBf = ((com.clearspring.analytics.stream.membership.BloomFilter) (bf2.merge(bf)));\\n // AssertGenerator replace invocation\\n int o_testGetFalsePositiveProbability_cf7643__42 = // StatementAdderMethod cloned existing statement\\nmergeBf.emptyBuckets();\\n // MethodAssertGenerator build local variable\\n Object o_44_0 = o_testGetFalsePositiveProbability_cf7643__42;\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_44_0, 150080);\\n // StatementAdderOnAssert create null value\\n java.lang.String vc_2194 = (java.lang.String)null;\\n // AssertGenerator add assertion\\n org.junit.Assert.assertNull(vc_2194);\\n // StatementAdderOnAssert create null value\\n com.clearspring.analytics.stream.membership.BloomFilter vc_2192 = (com.clearspring.analytics.stream.membership.BloomFilter)null;\\n // AssertGenerator add assertion\\n org.junit.Assert.assertNull(vc_2192);\\n // StatementAdderMethod cloned existing statement\\n vc_2192.add(vc_2194);\\n org.junit.Assert.fail(\\\"testGetFalsePositiveProbability_cf7643_cf10382 should have thrown NullPointerException\\\");\\n } catch (java.lang.NullPointerException eee) {\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78a6ce2642aaf3434d5dd82c0512d03c\",\n \"score\": \"0.5693964\",\n \"text\": \"@Test\\n public void testBinomialCdf() {\\n System.out.println(\\\"BinomialCdf\\\");\\n int k = 3;\\n double p = 0.5;\\n int n = 10;\\n double expResult = 0.17187500002003;\\n double result = DiscreteDistributions.BinomialCdf(k, p, n);\\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fb92a1634df457b2615e5a463cc0bcb8\",\n \"score\": \"0.5686931\",\n \"text\": \"@java.lang.Override\\n public float getEntropyScore() {\\n return entropyScore_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"35d8648043f55bebc1ad57a92e3bf402\",\n \"score\": \"0.5676212\",\n \"text\": \"@Test(timeout = 4000)\\n public void test15() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n instances0.delete();\\n MockRandom mockRandom0 = new MockRandom(0L);\\n MockRandom mockRandom1 = new MockRandom(1110L);\\n mockRandom1.doubles();\\n instances0.randomize(mockRandom1);\\n evaluation0.toCumulativeMarginDistributionString();\\n evaluation0.setDiscardPredictions(false);\\n evaluation0.KBRelativeInformation();\\n evaluation0.incorrect();\\n evaluation0.weightedFalsePositiveRate();\\n textDirectoryLoader0.getOptions();\\n String string0 = evaluation0.toSummaryString(true);\\n AttributeSelectedClassifier attributeSelectedClassifier0 = new AttributeSelectedClassifier();\\n evaluation0.SFSchemeEntropy();\\n evaluation0.weightedFalseNegativeRate();\\n String string1 = Evaluation.makeOptionString(attributeSelectedClassifier0, true);\\n assertFalse(string1.equals((Object)string0));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"21cc61b1b15d485ef3f4f73b7cdc28cc\",\n \"score\": \"0.56710505\",\n \"text\": \"@Test\\n public void testGunning_fog_score() {\\n System.out.println(\\\"gunning_fog_score\\\");\\n String strText = TEST_STRING;\\n double expResult = 118.0;\\n double result = ReadabilityStatistics.gunning_fog_score(strText);\\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5c571e92ef67b0736e9ca82039479473\",\n \"score\": \"0.56672686\",\n \"text\": \"@Test(timeout = 4000)\\n public void test40() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Attribute attribute0 = new Attribute(\\\"\\\\\\\"position\\\\\\\"has unknown type\\\");\\n arrayList0.add(attribute0);\\n Instances instances0 = new Instances(\\\"relational\\\", arrayList0, 1);\\n String[] stringArray0 = new String[7];\\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(1);\\n instances0.add((Instance) binarySparseInstance0);\\n stringArray0[0] = \\\"@data\\\";\\n stringArray0[2] = \\\"relational\\\";\\n stringArray0[3] = \\\"relational\\\";\\n stringArray0[4] = \\\"integer\\\";\\n stringArray0[5] = \\\"real\\\";\\n stringArray0[6] = \\\"date\\\";\\n discretize0.setInputFormat(instances0);\\n discretize0.setUseEqualFrequency(true);\\n double[] doubleArray0 = new double[1];\\n doubleArray0[0] = (double) 0;\\n SparseInstance sparseInstance0 = new SparseInstance(527.34601, doubleArray0);\\n instances0.add((Instance) sparseInstance0);\\n sparseInstance0.setValue(attribute0, (-2393.229239409172));\\n SparseInstance sparseInstance1 = new SparseInstance(sparseInstance0);\\n sparseInstance0.toString(attribute0);\\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, false);\\n instances0.add((Instance) sparseInstance1);\\n Filter.useFilter(instances0, discretize0);\\n discretize0.setOutputFormat();\\n System.setCurrentTimeMillis((-2594L));\\n discretize0.convertInstance(sparseInstance0);\\n assertTrue(discretize0.getUseEqualFrequency());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b8b77bec29656c013593a0d506bac511\",\n \"score\": \"0.56651\",\n \"text\": \"void testAll()\\n {\\n String dna = \\\"CCGGSDFCGTCa\\\";\\n //StorageResource set = new StorageResource();\\n //set = getAllGenes(dna);\\n //processGenes(set);\\n //System.out.println(countGenes(dna));\\n System.out.println(cgRatio(dna));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5dc173db7bb239858f10d4b1ef493553\",\n \"score\": \"0.5664557\",\n \"text\": \"@Test(timeout = 4000)\\n public void test08() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n instances0.delete();\\n MockRandom mockRandom0 = new MockRandom(0L);\\n MockRandom mockRandom1 = new MockRandom(1110L);\\n instances0.randomize(mockRandom1);\\n String string0 = evaluation0.toCumulativeMarginDistributionString();\\n assertEquals(\\\" -1 0 \\\\n\\\", string0);\\n \\n evaluation0.setDiscardPredictions(false);\\n evaluation0.KBRelativeInformation();\\n evaluation0.incorrect();\\n evaluation0.weightedFalsePositiveRate();\\n String string1 = evaluation0.toSummaryString(true);\\n assertEquals(\\\"=== Summary ===\\\\n\\\\nTotal Number of Instances 0 \\\\n\\\", string1);\\n \\n String string2 = evaluation0.toClassDetailsString();\\n assertEquals(\\\"=== Detailed Accuracy By Class ===\\\\n\\\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\\\n\\\", string2);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"31b0f6a40602d674ccd5fef1492c8a41\",\n \"score\": \"0.56579983\",\n \"text\": \"public void execute()\\r\\n/* 29: */ throws GlobalException\\r\\n/* 30: */ {\\r\\n/* 31: 65 */ if (this.input.getCDim() != 1) {\\r\\n/* 32: 65 */ throw new GlobalException(\\\"Sorry, only mono-channel images for now...\\\");\\r\\n/* 33: */ }\\r\\n/* 34: 67 */ Point[] domPoints = DominantPointsDetection.invoke(this.input, Double.valueOf(20.0D));\\r\\n/* 35: */ \\r\\n/* 36: */ \\r\\n/* 37: 70 */ ArrayList<Double> distances = new ArrayList();\\r\\n/* 38: */ \\r\\n/* 39: 72 */ double maxDist = 0.0D;\\r\\n/* 40: 75 */ for (int i = 0; i < domPoints.length; i++) {\\r\\n/* 41: 76 */ for (int j = 0; j < domPoints.length; j++) {\\r\\n/* 42: 77 */ if (i != j)\\r\\n/* 43: */ {\\r\\n/* 44: 79 */ dist = Distance.EuclideanDistance(domPoints[i], domPoints[j]);\\r\\n/* 45: 80 */ distances.add(Double.valueOf(dist));\\r\\n/* 46: 82 */ if (dist > maxDist) {\\r\\n/* 47: 82 */ maxDist = dist;\\r\\n/* 48: */ }\\r\\n/* 49: */ }\\r\\n/* 50: */ }\\r\\n/* 51: */ }\\r\\n/* 52: 86 */ this.output = new double[this.bins.intValue()];\\r\\n/* 53: 89 */ for (double dist = distances.iterator(); dist.hasNext();)\\r\\n/* 54: */ {\\r\\n/* 55: 89 */ double d = ((Double)dist.next()).doubleValue();\\r\\n/* 56: 90 */ int bin = (int)(d / maxDist * this.bins.intValue());\\r\\n/* 57: 91 */ if (bin == this.bins.intValue()) {\\r\\n/* 58: 91 */ bin--;\\r\\n/* 59: */ }\\r\\n/* 60: 92 */ this.output[bin] += 1.0D;\\r\\n/* 61: */ }\\r\\n/* 62: 96 */ for (int i = 0; i < this.output.length; i++) {\\r\\n/* 63: 97 */ this.output[i] /= distances.size();\\r\\n/* 64: */ }\\r\\n/* 65: */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f9870440597e27ebc120a4106f1356d6\",\n \"score\": \"0.56568784\",\n \"text\": \"public double getCoverageOfTestCasesByPredictedRegions(){\\r\\n\\t\\ttry {\\r\\n\\t\\t\\treturn eval.coverageOfTestCasesByPredictedRegions();\\r\\n\\t\\t} catch (Exception e) {\\r\\n\\t\\t\\te.printStackTrace();\\r\\n\\t\\t}\\r\\n\\t\\treturn 1/0;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bbf16ada7753443eca4ab036e34ca842\",\n \"score\": \"0.56563\",\n \"text\": \"@Test(timeout = 4000)\\n public void test11() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getStructure();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[7];\\n doubleArray0[0] = (double) 69;\\n doubleArray0[1] = 1608.2289599268;\\n doubleArray0[2] = (double) 69;\\n doubleArray0[3] = (double) 69;\\n doubleArray0[4] = (double) 69;\\n doubleArray0[5] = (double) 69;\\n doubleArray0[6] = (double) 69;\\n evaluation0.updateNumericScores(doubleArray0, doubleArray0, 1.0);\\n evaluation0.setDiscardPredictions(true);\\n double double0 = evaluation0.KBRelativeInformation();\\n assertTrue(evaluation0.getDiscardPredictions());\\n assertEquals(Double.NaN, double0, 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c84df6ff5eddbd6b8f1bb8c9a6f26265\",\n \"score\": \"0.5650513\",\n \"text\": \"@Test\\n public void testHypergeometric() {\\n System.out.println(\\\"Hypergeometric\\\");\\n int k = 3;\\n int n = 10;\\n int Kp = 30;\\n int Np = 100;\\n double expResult = 0.28116339430254;\\n double result = DiscreteDistributions.Hypergeometric(k, n, Kp, Np);\\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"35c1c7eba9604f64cf85b3ae55305a6c\",\n \"score\": \"0.5647602\",\n \"text\": \"@Test\\n public void costTest() {\\n // TODO: test cost\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"243851c45932f316bdffc420899e6682\",\n \"score\": \"0.5631897\",\n \"text\": \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.useEqualFrequencyTipText();\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals(10, discretize0.getBins());\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", string0);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7c9aed5a904bff8528c85de9d149a4a3\",\n \"score\": \"0.5630251\",\n \"text\": \"@org.junit.Test(timeout = 10000)\\n public void testGetFalsePositiveProbability_cf7637_failAssert73_literalMutation12458() {\\n // AssertGenerator generate try/catch block with fail statement\\n try {\\n // These probabilities are taken from the bloom filter probability table at\\n // http://pages.cs.wisc.edu/~cao/papers/summary-cache/node8.html\\n java.lang.System.out.println(\\\"expectedFalsePositiveProbability\\\");\\n com.clearspring.analytics.stream.membership.BloomFilter instance = new com.clearspring.analytics.stream.membership.BloomFilter(100, 10);\\n double expResult = 0.00819;// m/n=10, k=7\\n \\n double result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n // MethodAssertGenerator build local variable\\n Object o_10_0 = instance.getHashCount();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_10_0, 7);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 10);\\n expResult = 0.00819;// m/n=10, k=7\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(10, 7);\\n // MethodAssertGenerator build local variable\\n Object o_19_0 = instance.getHashCount();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_19_0, 7);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 2);\\n expResult = 0.393;// m/n=2, k=1\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(2, 1);\\n // MethodAssertGenerator build local variable\\n Object o_28_0 = instance.getHashCount();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_28_0, 1);\\n instance = new com.clearspring.analytics.stream.membership.BloomFilter(10, 22);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)instance).getHashCount(), 14);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)instance).buckets(), 256);\\n expResult = 0.00509;// m/n=11, k=8\\n \\n result = com.clearspring.analytics.stream.membership.BloomCalculations.getFalsePositiveProbability(11, 8);\\n // MethodAssertGenerator build local variable\\n Object o_37_0 = instance.getHashCount();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_37_0, 14);\\n // StatementAdderOnAssert create null value\\n com.clearspring.analytics.stream.membership.BloomFilter vc_1564 = (com.clearspring.analytics.stream.membership.BloomFilter)null;\\n // StatementAdderMethod cloned existing statement\\n vc_1564.buckets();\\n org.junit.Assert.fail(\\\"testGetFalsePositiveProbability_cf7637 should have thrown NullPointerException\\\");\\n } catch (java.lang.NullPointerException eee) {\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"16de7e7459e077d5cab23de627177d8b\",\n \"score\": \"0.5623849\",\n \"text\": \"@Test(timeout = 4000)\\n public void test04() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.setOutputFormat();\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getFindNumBins());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5bf8d5dbfa22705cd890f85a37101a2d\",\n \"score\": \"0.5623151\",\n \"text\": \"@org.junit.Test(timeout = 10000)\\n public void testSizing_cf57160_failAssert16_add61758() throws java.io.IOException {\\n // AssertGenerator generate try/catch block with fail statement\\n try {\\n com.clearspring.analytics.stream.membership.BloomFilter f = null;\\n // MethodAssertGenerator build local variable\\n Object o_2_0 = (f = new com.clearspring.analytics.stream.membership.BloomFilter(10, 0.05)).buckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_2_0, 128);\\n // MethodAssertGenerator build local variable\\n Object o_8_0 = new com.clearspring.analytics.stream.membership.BloomFilter(100, 0.05).buckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_8_0, 768);\\n // MethodAssertGenerator build local variable\\n Object o_11_0 = new com.clearspring.analytics.stream.membership.BloomFilter(1000, 0.05).buckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_11_0, 7040);\\n // MethodAssertGenerator build local variable\\n Object o_14_0 = new com.clearspring.analytics.stream.membership.BloomFilter(10000, 0.05).buckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_14_0, 70080);\\n // MethodAssertGenerator build local variable\\n Object o_17_0 = new com.clearspring.analytics.stream.membership.BloomFilter(100000, 0.05).buckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_17_0, 700032);\\n // MethodAssertGenerator build local variable\\n Object o_20_0 = new com.clearspring.analytics.stream.membership.BloomFilter(1000000, 0.05).buckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_20_0, 7000064);\\n // MethodAssertGenerator build local variable\\n Object o_23_0 = new com.clearspring.analytics.stream.membership.BloomFilter(10, 0.01).buckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_23_0, 128);\\n // MethodAssertGenerator build local variable\\n Object o_26_0 = new com.clearspring.analytics.stream.membership.BloomFilter(100, 0.01).buckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_26_0, 1024);\\n // MethodAssertGenerator build local variable\\n Object o_29_0 = (f = new com.clearspring.analytics.stream.membership.BloomFilter(1000, 0.01)).buckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_29_0, 10048);\\n // MethodAssertGenerator build local variable\\n Object o_35_0 = (f = new com.clearspring.analytics.stream.membership.BloomFilter(10000, 0.01)).buckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_35_0, 100032);\\n // MethodAssertGenerator build local variable\\n Object o_41_0 = (f = new com.clearspring.analytics.stream.membership.BloomFilter(100000, 0.01)).buckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_41_0, 1000064);\\n // MethodAssertGenerator build local variable\\n Object o_47_0 = (f = new com.clearspring.analytics.stream.membership.BloomFilter(1000000, 0.01)).buckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_47_0, 10000064);\\n for (java.lang.String s : new com.clearspring.analytics.stream.membership.KeyGenerator.RandomStringGenerator(new java.util.Random().nextInt(), 1000000)) {\\n // MethodCallAdder\\n f.add(s);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)f).getHashCount(), 5);\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(((com.clearspring.analytics.stream.membership.BloomFilter)f).buckets(), 10000064);\\n f.add(s);\\n }\\n // MethodAssertGenerator build local variable\\n Object o_60_0 = f.buckets();\\n // AssertGenerator add assertion\\n org.junit.Assert.assertEquals(o_60_0, 10000064);\\n // StatementAdderOnAssert create null value\\n com.clearspring.analytics.stream.membership.BloomFilter vc_13046 = (com.clearspring.analytics.stream.membership.BloomFilter)null;\\n // AssertGenerator add assertion\\n org.junit.Assert.assertNull(vc_13046);\\n // StatementAdderMethod cloned existing statement\\n vc_13046.tserializer();\\n org.junit.Assert.fail(\\\"testSizing_cf57160 should have thrown NullPointerException\\\");\\n } catch (java.lang.NullPointerException eee) {\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e5f88e042be97bb60d9ae2570e2197c\",\n \"score\": \"0.5619166\",\n \"text\": \"@Test\\n public void testNegativeBinomial() {\\n System.out.println(\\\"NegativeBinomial\\\");\\n int n = 10;\\n int r = 4;\\n double p = 0.5;\\n double expResult = 0.08203125;\\n double result = DiscreteDistributions.NegativeBinomial(n, r, p);\\n assertEquals(expResult, result, TestConfiguration.DOUBLE_ACCURACY_HIGH);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7500cd798505e88fe8c490511bb5406b\",\n \"score\": \"0.561472\",\n \"text\": \"@Test\\n\\tpublic void testSingleCrossingScenarioStabilizingVsOptimizingRegimeHighDemand(){\\n\\t\\tFixture fixtureStab = new Fixture(360, 1800, 0.0, Regime.STABILIZING);\\n\\t\\tSignalAnalysisTool signalAnalyzerStab = new SignalAnalysisTool();\\n\\t\\tDelayAnalysisTool generalAnalyzerStab = fixtureStab.run(signalAnalyzerStab);\\n\\n\\t\\tFixture fixtureOpt = new Fixture(360, 1800, 0.0, Regime.OPTIMIZING);\\n\\t\\tSignalAnalysisTool signalAnalyzerOpt = new SignalAnalysisTool();\\n\\t\\tDelayAnalysisTool generalAnalyzerOpt = fixtureOpt.run(signalAnalyzerOpt);\\n\\n\\t\\tFixture fixtureComb = new Fixture(360, 1800, 0.0, Regime.COMBINED);\\n\\t\\tSignalAnalysisTool signalAnalyzerComb = new SignalAnalysisTool();\\n\\t\\tDelayAnalysisTool generalAnalyzerComb = fixtureComb.run(signalAnalyzerComb);\\n\\t\\t\\n\\t\\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycleStab = signalAnalyzerStab.calculateAvgSignalGreenTimePerFlexibleCycle(); \\n\\t\\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystemStab = signalAnalyzerStab.calculateAvgFlexibleCycleTimePerSignalSystem(); \\n\\t\\tMap<Id<Link>, Double> avgDelayPerLinkStab = generalAnalyzerStab.getAvgDelayPerLink();\\n\\t\\t\\n\\t\\tlog.info(\\\"demand 360,1800 (i.e. 0.6) -- results for the stabilizing regime:\\\");\\n\\t\\tlog.info(\\\"avg signal green times per cycle: \\\" + avgSignalGreenTimePerCycleStab.get(signalGroupId1) + \\\", \\\"\\n\\t\\t\\t\\t+ avgSignalGreenTimePerCycleStab.get(signalGroupId2));\\n\\t\\tlog.info(\\\"avg cycle time per system: \\\" + avgCycleTimePerSystemStab.get(signalSystemId));\\n\\t\\tlog.info(\\\"avg delay per link: \\\" + avgDelayPerLinkStab.get(Id.createLinkId(\\\"2_3\\\")) + \\\", \\\" + avgDelayPerLinkStab.get(Id.createLinkId(\\\"7_3\\\")));\\n\\t\\tlog.info(\\\"Total delay: \\\" + generalAnalyzerStab.getTotalDelay());\\n\\t\\t\\n\\t\\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycleOpt = signalAnalyzerOpt.calculateAvgSignalGreenTimePerFlexibleCycle(); \\n\\t\\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystemOpt = signalAnalyzerOpt.calculateAvgFlexibleCycleTimePerSignalSystem(); \\n\\t\\tMap<Id<Link>, Double> avgDelayPerLinkOpt = generalAnalyzerOpt.getAvgDelayPerLink();\\n\\t\\t\\n\\t\\tlog.info(\\\"demand 360,1800 (i.e. 0.6) -- results for the optimizing regime:\\\");\\n\\t\\tlog.info(\\\"avg signal green times per cycle: \\\" + avgSignalGreenTimePerCycleOpt.get(signalGroupId1) + \\\", \\\"\\n\\t\\t\\t\\t+ avgSignalGreenTimePerCycleOpt.get(signalGroupId2));\\n\\t\\tlog.info(\\\"avg cycle time per system: \\\" + avgCycleTimePerSystemOpt.get(signalSystemId));\\n\\t\\tlog.info(\\\"avg delay per link: \\\" + avgDelayPerLinkOpt.get(Id.createLinkId(\\\"2_3\\\")) + \\\", \\\" + avgDelayPerLinkOpt.get(Id.createLinkId(\\\"7_3\\\")));\\n\\t\\tlog.info(\\\"Total delay: \\\" + generalAnalyzerOpt.getTotalDelay());\\n\\t\\t\\n\\t\\tMap<Id<SignalGroup>, Double> avgSignalGreenTimePerCycleComb = signalAnalyzerComb.calculateAvgSignalGreenTimePerFlexibleCycle(); \\n\\t\\tMap<Id<SignalSystem>, Double> avgCycleTimePerSystemComb = signalAnalyzerComb.calculateAvgFlexibleCycleTimePerSignalSystem(); \\n\\t\\tMap<Id<Link>, Double> avgDelayPerLinkComb = generalAnalyzerComb.getAvgDelayPerLink();\\n\\t\\t\\n\\t\\tlog.info(\\\"demand 360,1800 (i.e. 0.6) -- results for the combined regime:\\\");\\n\\t\\tlog.info(\\\"avg signal green times per cycle: \\\" + avgSignalGreenTimePerCycleComb.get(signalGroupId1) + \\\", \\\"\\n\\t\\t\\t\\t+ avgSignalGreenTimePerCycleComb.get(signalGroupId2));\\n\\t\\tlog.info(\\\"avg cycle time per system: \\\" + avgCycleTimePerSystemComb.get(signalSystemId));\\n\\t\\tlog.info(\\\"avg delay per link: \\\" + avgDelayPerLinkComb.get(Id.createLinkId(\\\"2_3\\\")) + \\\", \\\" + avgDelayPerLinkComb.get(Id.createLinkId(\\\"7_3\\\")));\\n\\t\\tlog.info(\\\"Total delay: \\\" + generalAnalyzerComb.getTotalDelay());\\n\\t\\t\\n\\t\\t// Test Stabilizing Regime:\\n\\t\\tfor (Id<Link> linkId : avgDelayPerLinkStab.keySet()) {\\n\\t\\t\\tAssert.assertTrue(\\\"stab: avg delay per link should be below a threshold (i.e. still stable)\\\", avgDelayPerLinkStab.get(linkId) < maxCycleTime);\\n\\t\\t}\\n\\t\\tAssert.assertTrue(\\\"the stabilizing regime should satisfy the maximum cycle time\\\", avgCycleTimePerSystemStab.get(signalSystemId) < maxCycleTime);\\n\\t\\t// stabilizing regime only shows green when number of vehicles beyond a critical number, i.e. some of the cycle time is given away (all signals show red)\\n\\t\\tAssert.assertTrue(\\\"stab: sum of green times per cycle plus 10 seconds intergreen time should be more than 9 seconds less than the avg cycle time\\\", \\n\\t\\t\\t\\tavgSignalGreenTimePerCycleStab.get(signalGroupId1) + avgSignalGreenTimePerCycleStab.get(signalGroupId2) + cycleIntergreenTime \\n\\t\\t\\t\\t< avgCycleTimePerSystemStab.get(signalSystemId) - 9);\\n\\t\\t\\n\\t\\t// Test Optimizing Regime:\\n\\t\\tAssert.assertTrue(\\\"avg delay for NS-direction should be very high for the optimizing regime with high demand\\\", avgDelayPerLinkOpt.get(Id.createLinkId(\\\"7_3\\\")) > maxCycleTime);\\n\\t\\tAssert.assertTrue(\\\"total delay of optimizing regime should be the highest\\\", generalAnalyzerStab.getTotalDelay() < generalAnalyzerOpt.getTotalDelay());\\n\\t\\tAssert.assertTrue(\\\"for this demand, the cycle time of the optimizing regime should be very high, i.e. not stable anymore\\\", \\n\\t\\t\\t\\tavgCycleTimePerSystemOpt.get(signalSystemId) > 10*maxCycleTime);\\n\\t\\t\\n\\t\\t// Test Combined Regime:\\n\\t\\tfor (Id<Link> linkId : avgDelayPerLinkComb.keySet()) {\\n\\t\\t\\tAssert.assertTrue(\\\"avg delay per link should be below a threshold (i.e. still stable)\\\", avgDelayPerLinkComb.get(linkId) < maxCycleTime);\\n\\t\\t}\\n\\t\\tAssert.assertEquals(\\\"comb: sum of green times per cycle plus 10 seconds intergreen time should be more or less equal to the avg cycle time\\\", \\n\\t\\t\\t\\tavgCycleTimePerSystemComb.get(signalSystemId), \\n\\t\\t\\t\\tavgSignalGreenTimePerCycleComb.get(signalGroupId1) + avgSignalGreenTimePerCycleComb.get(signalGroupId2) + cycleIntergreenTime, \\n\\t\\t\\t\\t2);\\n\\t\\tAssert.assertTrue(\\\"the combined regime should satisfy the maximum cycle time\\\", avgCycleTimePerSystemComb.get(signalSystemId) < maxCycleTime);\\n\\t\\tAssert.assertTrue(\\\"total delay with the combined regime should be the lowest\\\", generalAnalyzerOpt.getTotalDelay() > generalAnalyzerComb.getTotalDelay());\\n\\t\\tAssert.assertTrue(\\\"total delay with the combined regime should be the lowest\\\", generalAnalyzerStab.getTotalDelay() > generalAnalyzerComb.getTotalDelay());\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992491,"cells":{"query_id":{"kind":"string","value":"21108cbf6b3ae7596ff242a5aabc5656"},"query":{"kind":"string","value":"recuperation du patient par id"},"positive_passages":{"kind":"list like","value":[{"docid":"708d1b00496c4edbc7da1db0d707ac14","score":"0.626485","text":"receptionniste getRep(int id) throws SQLException;","title":""}],"string":"[\n {\n \"docid\": \"708d1b00496c4edbc7da1db0d707ac14\",\n \"score\": \"0.626485\",\n \"text\": \"receptionniste getRep(int id) throws SQLException;\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"393a12eb89bc9b7d8eb61a513489d59e","score":"0.75159436","text":"public Patient getPatient(int id_patient);","title":""},{"docid":"bbf3a29e29ddc08a8a5bec515bd2b21a","score":"0.7161092","text":"int getPatientId();","title":""},{"docid":"d2e1c62394c84c34538914f6e6837158","score":"0.7150026","text":"public long getPatientId();","title":""},{"docid":"2c6fa8f6d1c4417bfbfee7c3db44c8bb","score":"0.698183","text":"public Integer getPatientId() {\n return patientId;\n }","title":""},{"docid":"69c2fca0fcba6a5d0127144df85cfb93","score":"0.69725865","text":"public String getId()\n\t{\n\t\treturn patientId;\n\t}","title":""},{"docid":"c60b5763bd9b3f7a6da785f208531fcb","score":"0.69532996","text":"public String getPatientId() {\n return patientId;\n }","title":""},{"docid":"c60b5763bd9b3f7a6da785f208531fcb","score":"0.69532996","text":"public String getPatientId() {\n return patientId;\n }","title":""},{"docid":"c60b5763bd9b3f7a6da785f208531fcb","score":"0.69532996","text":"public String getPatientId() {\n return patientId;\n }","title":""},{"docid":"2d36b8009af86bff77f1b08b59676630","score":"0.6951342","text":"public int getPatientID() {\n return patientID;\n }","title":""},{"docid":"a61996b03539ed5cd0453284020ce5ed","score":"0.68525743","text":"public void setPatientId(long patientId);","title":""},{"docid":"07428dc29d437ad5879b9c9f6154b861","score":"0.67667246","text":"Patient getById(String id);","title":""},{"docid":"46dc76f855c8138c374739cd0d0cccca","score":"0.6680357","text":"public String getPatientId() {\n\t\treturn patientId;\n\t}","title":""},{"docid":"522e2bbb2dd5a65ed9a8b1d6c0f5b70c","score":"0.6671351","text":"public void setPatientId(Integer patientId) {\n this.patientId = patientId;\n }","title":""},{"docid":"c1bb4fabc9335e94e1195563579b6020","score":"0.65965605","text":"public org.pahospital.www.patservice.Patient getPatientByID\n (\n org.pahospital.www.patservice.PatientID patientID0\n )\n ;","title":""},{"docid":"a5ae016c4e93f0e654a362d0df79878d","score":"0.6576546","text":"public int getPatientID() {\n\t\treturn patientID;\n\t}","title":""},{"docid":"1e482ec152fa2fc918079f87d8ccce1f","score":"0.6563961","text":"public void delet_patient(int na_id ) throws SQLException{\n dbconnection con = new dbconnection() ; Connection conn = con.conn();\n Patient p =new Patient();\n p.national_id = na_id;\n \n //national = id \n PreparedStatement s = conn.prepareStatement(\"select patient.patient_id from patient \"\n + \"where patient.national_id = '\"+ p.national_id +\"'\");\n ResultSet set = s.executeQuery();\n p.patient_id = set.getInt(1);\n //\n PreparedStatement stmt = conn.prepareStatement(\"delet from patient where patien.patient_id=\"\n + \"'\"+p.patient_id + \"';\"); \n stmt.executeUpdate();\n JOptionPane.showMessageDialog(null, \"Delete Success\");\n }","title":""},{"docid":"751c3eef644b6661858619a193795f57","score":"0.65080273","text":"@Override\n\tpublic Patient chargerPatient(Long id_patient) {\n\t\t\n\t\t\n\t\treturn patientrepository.findOne(id_patient);\n\t}","title":""},{"docid":"73ee3c4222ab30d615d6613c9f1fe05d","score":"0.6478493","text":"@Override\n\tpublic DafPatient getPatientById(int theId) {\n\t\tSession session = sessionFactory.openSession();\n\t\tDafPatient dafPatient = (DafPatient)session.get(DafPatient.class, theId);\n\t\tsession.close();\n\t\treturn dafPatient;\n\t}","title":""},{"docid":"8f19176b1ef7a9aa3db98e9a7a2a12bb","score":"0.6460639","text":"public void setPatientId(String patientId) {\n this.patientId = patientId;\n }","title":""},{"docid":"8f19176b1ef7a9aa3db98e9a7a2a12bb","score":"0.6460639","text":"public void setPatientId(String patientId) {\n this.patientId = patientId;\n }","title":""},{"docid":"6c9d5e80ff8d60368658614aee19cbfe","score":"0.6388519","text":"public Patient findPatientbyId(int id) throws ResourceNotFoundException;","title":""},{"docid":"2ddccc9b91b1129e48bee8eb2acee7fb","score":"0.63868815","text":"public void setPatient(long patient) {\n\t\tthis.patient = patient;\n\t}","title":""},{"docid":"306961852231d57aaf2fc7e891aedc60","score":"0.63769907","text":"public static Patients getPatientById() {\n\n System.out.println(\"Enter the id of the patient: \");\n int id = scanner .nextInt();\n\n try {\n ps = DbConnection.getConnection().prepareStatement(\"SELECT * FROM patients WHERE id=\" + id);\n rs = ps.executeQuery();\n\n int patientId, age, personal_code;\n String name, surname, gender;\n Patients patients = new Patients();\n\n while (rs.next()) {\n patientId = rs.getInt(\"id\");\n name = rs.getString(\"name\");\n surname = rs.getString(\"surname\");\n gender = rs.getString(\"gender\");\n age = rs.getInt(\"age\");\n personal_code = rs.getInt(\"personal_code\");\n patients.setId(patientId);\n patients.setName(name);\n patients.setSurname(surname);\n patients.setAge(age);\n patients.setGender(gender);\n patients.setPersonalCode(personal_code);\n System.out.println(patientId + \"\\t \" + name + \"\\t \" + surname + \"\\t \" + age + \"\\t \" + gender + \"\\t \" + personal_code + \"\\t \");\n\n }\n return patients;\n\n\n } catch (SQLException e) {\n e.printStackTrace();\n return null;\n }\n }","title":""},{"docid":"187fec1abd82c91b74a97945cfcfedcf","score":"0.6368206","text":"public void setPatientID(int patientID) {\n this.patientID = patientID;\n }","title":""},{"docid":"69e85746d641db59f2be8b4c75cf1f3e","score":"0.63556707","text":"public Patient show_info_patient(int na_id ) throws SQLException{\n Patient p =new Patient();\n p.national_id = na_id;\n dbconnection con = new dbconnection() ; Connection conn = con.conn();\n \n // national = id \n PreparedStatement s = conn.prepareStatement(\"select patient.patient_id from patient \"\n + \"where patient.national_id = '\"+ p.national_id +\"'\");\n ResultSet se = s.executeQuery();\n p.patient_id = se.getInt(1);\n \n //\n PreparedStatement stmt = conn.prepareStatement(\"select name,phone,e_mail,address,age,national_id,symptom\"\n + \"from patient where patient.patient_id='\"+ p.patient_id + \"';\");\n ResultSet set = stmt.executeQuery();\n p.name=set.getString(1);\n p.phone=set.getInt(2);\n p.email=set.getString(3);\n p.address=set.getString(4);\n p.age=set.getInt(5);\n p.national_id=set.getInt(6);\n p.symptom=set.getString(7);\n return p;\n \n }","title":""},{"docid":"ca30e60232341798b30165beb28f2980","score":"0.6348008","text":"public long getPatient() {\n\t\treturn patient;\n\t}","title":""},{"docid":"e627f68bc0438ddb7913c0eb2947e3b0","score":"0.6344785","text":"public Patient findByPatientId(long id);","title":""},{"docid":"3b9efd9a7dbb4db8b4e79ae00baf1205","score":"0.63228923","text":"@Override\n\tpublic Patient findPatient(long idP) {\n\t\tOptional<Patient> patientOptional = patientrepository.findById(idP);\n\t\tPatient patient = new Patient();\n\t\tif(patientOptional.isPresent() == true) {\n\t\t\tpatient = patientOptional.get();\n\t\t}\n\t\treturn patient;\n\t}","title":""},{"docid":"4fb365ae6f5ab77efe8f8a3424b85918","score":"0.63093007","text":"public String getRealPatientId() {\n return realPatientId;\n }","title":""},{"docid":"c8718612d698ab00ae2e59ecab800224","score":"0.6220281","text":"@Override\n\tpublic PatientModel getPatientById(long id) {\n\t\treturn patientRepository.findById(id).get();\n\t}","title":""},{"docid":"098d0c8d44779cc49d1578f23cd70ed1","score":"0.6178038","text":"public Patient(Integer patientId) {\n\t\tsuper(patientId);\n\t\tthis.patientId = patientId;\n\t\tsetPatient(true);\n\t}","title":""},{"docid":"731385d9fddb566e52c9c23f4cff6382","score":"0.61503404","text":"@Override\r\n\tpublic void mettreAjourGerant(int id, String prenom) {\n\t\t\r\n\t}","title":""},{"docid":"51f260ec520b4d7a65a128af58a81565","score":"0.61382633","text":"public void setPatientId(Integer patientId) {\n\t\tsuper.setPersonId(patientId);\n\t\tthis.patientId = patientId;\n\t}","title":""},{"docid":"8d15273f60bf5c1a267d3213c254df5b","score":"0.6135595","text":"public void setIdPaciente(Integer idPaciente) {\r\n this.idPaciente = idPaciente;\r\n }","title":""},{"docid":"1ef530d2fdaa836b17085b92673fe53d","score":"0.61337185","text":"public DetallePedido buscarOneDetallePedido(Long id) {\n\n Connection conexion = null;\n Conexion con = new Conexion();\n DetallePedido detallePedido = null;\n PreparedStatement ps = null; //Este objeto permite guardar las consultas que hacemos a la BD.\n ResultSet rs = null; // este objeto lo usamos cuando obtenemos algo de la base de datos.\n\n try {\n\n conexion = con.getConnection(); //metodo getConnection, logueamos el usuario.\n\n ps = conexion.prepareStatement(\"SELECT * FROM detalle_pedido WHERE idDetalle = ?\");\n\n ps.setLong(1, id); //pasamos el id parametro y se ingresa en el ? del query\n\n rs = ps.executeQuery(); //Ejecutamos el Resulset y executeQuery cuando obtenemos algo de la base de datos.\n\n if (rs.next()) { //si nos devuelve un dato true\n\n Long idDetallePedido = rs.getLong(1); //cada numero del parametro hace referencia al dato del campo que se desea obtener = idPersona\n int cantidad = rs.getInt(2);\n double subTotal = rs.getDouble(3);\n Long idPedido = rs.getLong(4);\n Long idArticuloManufacturado = rs.getLong(5);\n \n\n detallePedido = new DetallePedido(idDetallePedido, cantidad, subTotal, idPedido, idArticuloManufacturado);\n\n System.out.println(\"El Registro fue encontrado con exito.\");\n //JOptionPane.showMessageDialog(null, \"El Registro fue encontrado con exito.\");\n\n } else {\n\n System.out.println(\"El Registro no fue encontrado en la Base de Datos.\");\n //JOptionPane.showMessageDialog(null, \"El Registro no fue encontrado en la Base de Datos.\");\n }\n\n conexion.close();\n\n } catch (Exception ex) {\n\n System.err.println(\"Error. \" + ex);\n\n } finally {\n\n try {\n\n ps.close();\n rs.close();\n\n } catch (SQLException ex) {\n System.err.println(\"Error. \" + ex);\n }\n\n }\n\n return detallePedido; //devolvemos el alumno encontrado\n }","title":""},{"docid":"bd40bb936b98055d0ca6f15320183c88","score":"0.61313695","text":"public Identificator getPatientId() {\n\t\treturn XdsMetadataUtil.convertOhtCx(xDoc.getPatientId());\n\t}","title":""},{"docid":"6da906515191842189208a9ca174957f","score":"0.61231726","text":"public static int newPatient(Patient patient){\n String query = \"INSERT INTO pacientes (pac_nombre, pac_apellidoPaterno, pac_apellidoMaterno, pac_fechaNacimiento, pac_genero, pac_telefono, pac_telefono_movil,\"\n + \"pac_rfc, pac_correo, pac_codigo_postal, pac_direccion, pac_responsable, pac_referenciado, pac_responsable_parentezco, pac_datos_especiales) \"\n + \"VALUES ('\"+patient.getNombre()+\"', '\"+patient.getApellidoPaterno()+\"', '\"+patient.getApellidoMaterno()+\"', \"\n + \" '\"+patient.getFechaNacimiento()+\"', '\"+patient.getGenero()+\"', '\"+patient.getTelefono()+\"', '\"+patient.getCelular()+\"', \"\n + \" '\"+patient.getRFC()+\"', '\"+patient.getCorreo()+\"', '\"+patient.getCodigoPostal()+\"', '\"+patient.getDireccion()+\"', \"\n + \" '\"+patient.getResponsable()+\"', '\"+patient.getReferenciado()+\"', '\"+patient.getResponsableParentezco()+\"', '\"+patient.getDatosEspeciales()+\"') \";\n \n return Conexion.executeUpdate(query);\n }","title":""},{"docid":"34ec1aa3880d7da1ae19b172736a9265","score":"0.6115078","text":"@Override\n\tpublic Persona obtnerPersonaPorId(Integer id) {\n\t\tSystem.out.println(\"Se envio id para consultar persona\");\n\t\treturn null;\n\t}","title":""},{"docid":"17298c241967dc9642b101742ca1b3cc","score":"0.6094625","text":"@Override\n\t@Transactional\n\tpublic void effacerPatient(Long id_patient) {\n\t\tpatientrepository.delete(id_patient);\n\t}","title":""},{"docid":"7a29541bceb570b940f4e125337045f5","score":"0.6065265","text":"public patient AddPatient(patient p){\n\t\tint role= 0;Integer id=null;\n\t\tString query1 = \"INSERT INTO pmohan_patient_details (firstname, lastname,gender,dob,age,docId,fid) VALUES (?,?, ?, ?, ?, ?,?) ;\";\n\t\tString query2 = \"INSERT INTO pmohan_login(id, username,password,role) VALUES (?,?,?,?); \";\n\t\tString query3= \"SELECT * FROM pmohan_patient_details WHERE firstname= ?;\";\n\t\tString query4= \"INSERT INTO pmohan_family_details(fid,fname) VALUES (?,?);\";\n\t\t//String query4 = \"INSERT INTO pmohan_prescription(fid,fname) VALUES (?,?);\";\n\t\ttry(PreparedStatement statement = connection.prepareStatement(query1, Statement.RETURN_GENERATED_KEYS))\n\t\t{\n statement.setString(1, p.getFirstname());\n statement.setString(2, p.getLastname());\n statement.setString(3, p.getGender());\n statement.setString(4, p.getDob());\n statement.setInt(5, p.getAge());\n statement.setInt(6,p.getDocId() );\n statement.setInt(7,p.getFid());\n statement.executeUpdate();\n \n PreparedStatement statement11 = connection.prepareStatement(query3);\n statement11.setString(1, p.getFirstname());\n ResultSet resultSet = statement11.executeQuery();\n while (resultSet.next())\n {\n \t id= resultSet.getInt(2);\n \t System.out.println(id);\n }\n PreparedStatement statement111 = connection.prepareStatement(query4);\n statement111.setInt(1, p.getFid());\n statement111.setString(2, p.getFirstname());\n statement111.executeUpdate();\n \n \tPreparedStatement statement2 = connection.prepareStatement(query2); \n \tstatement2.setInt(1,id );\n \tstatement2.setString(2, p.getUsername());\n statement2.setString(3, p.getPassword());\n statement2.setInt(4, role);\n statement2.executeUpdate();\n\t\t\n\t\t}\n\t\t\n\t\tcatch(Exception e){\n\t\t\tp = null;\n System.out.println(\"Error Creating patient: \" + e);\n\t\t} \n\t\t\n\t\t return p;\n\t}","title":""},{"docid":"7e1384c7f501cc608af37db42406fee7","score":"0.60530466","text":"@Override\r\n\tpublic Professeur trouver(int idPersonne) throws DAOException {\n\t\t\r\n\t\t Connection connexion = null;\r\n\t\t PreparedStatement preparedStatement = null;\r\n\t\t ResultSet resultSet = null;\r\n\t\t Professeur professeur = null;\r\n\r\n\t\t try {\r\n\t\t /* Récupération d'une connexion depuis la Factory */\r\n\t\t connexion = daoFactory.getConnection();\r\n\t\t preparedStatement = DAODataBaseManager.initialisationRequetePreparee( connexion, SQL_SELECT_PROFESSEUR_PAR_ID_PERSONNE, false, idPersonne);\r\n\t\t resultSet = preparedStatement.executeQuery();\r\n\t\t /* Parcours de la ligne de données de l'éventuel ResulSet retourné */\r\n\t\t if ( resultSet.next() ) {\r\n\r\n\t\t \tprofesseur = map( resultSet );\r\n\r\n\t\t }\r\n\t\t \r\n\t\t return professeur;\r\n\t\t \r\n\t\t } catch ( SQLException e ) {\r\n\t\t throw new DAOException( e );\r\n\t\t } finally {\r\n\t\t \tDAODataBaseManager.fermeturesSilencieuses( resultSet, preparedStatement, connexion );\r\n\t\t }\r\n\r\n\t}","title":""},{"docid":"9247ebd2982572a1031178f1727b687e","score":"0.60426563","text":"public String getPatient () {\n return patient;\n }","title":""},{"docid":"9247ebd2982572a1031178f1727b687e","score":"0.60426563","text":"public String getPatient () {\n return patient;\n }","title":""},{"docid":"9cf48d7ac0af47bcb1056f257f1b057b","score":"0.60385305","text":"public void updata_patient(Patient p_) throws SQLException{\n Patient p =p_;\n dbconnection con = new dbconnection() ; Connection conn = con.conn();\n \n \n // national = id \n PreparedStatement s = conn.prepareStatement(\"select patient.patient_id from patient \"\n + \"where patient.national_id = '\"+ p.national_id +\"'\");\n ResultSet set = s.executeQuery();\n p.patient_id = set.getInt(1);\n \n PreparedStatement stmt = conn.prepareStatement(\"update patient set name=?,phone=?,e_mail=?\"\n + \",address=?,age=?,national_id=?,symptom=? where patient_id='\"+ p.patient_id + \"';\");\n stmt.setString(1,p.name);\n stmt.setInt(3,p.phone);\n stmt.setString(4,p.email);\n stmt.setString(2,p.address);\n stmt.setInt(5,p.age);\n stmt.setInt(6,p.national_id);\n stmt.setString(7,p.symptom);\n stmt.executeUpdate();\n JOptionPane.showConfirmDialog(null,\"Submit Successed\");\n}","title":""},{"docid":"34d5977892bfa3adb77267466d4893aa","score":"0.601872","text":"@Transactional\n\tpublic patient getPatientById(int id) {\n\t\treturn patientDaoImp.getPatientById(id);\n\t}","title":""},{"docid":"9890369802d67fa02ad8c75b15c54283","score":"0.600223","text":"private void addpatient() {\n getfield();\n connection = Connector.ConnectDb();\n try {\n sql = \"INSERT INTO tbl_pasien(Tanggal,id_pasien,Nama_Pasien,Usia,Jenis_Kelamin,Alamat,Nomor_Telepon,Penyakit) VALUES (?, ?, ?, ?, ?, ?, ?, ?)\";\n ps = connection.prepareStatement(sql);\n ps.setString(1, dob);\n ps.setString(2, uId);\n ps.setString(3, uName);\n ps.setString(4, usia);\n ps.setString(5, gender);\n ps.setString(6, addrs);\n ps.setString(7, phone);\n ps.setString(8, penyakit);\n\n int rt = ps.executeUpdate();\n\n JOptionPane.showMessageDialog(null, \"Data Tersimpan\");\n\n autoid();\n DefaultTableModel dtm = (DefaultTableModel) jTable1.getModel();\n dtm.setRowCount(0);\n loadtable();\n clear();\n } catch (Exception e) {\n System.out.println(\"Error \" + e.getMessage());\n }\n }","title":""},{"docid":"a2009cfb0d08b8bcb516da3b503dac60","score":"0.5987032","text":"@Override\n\tpublic int deletePatient(long idP) {\n\t\tPatient p = new Patient();\n\t\t\tp.setIdPatient(idP);\n\t\tpatientrepository.delete(p);\n\t\treturn 1;\n\t}","title":""},{"docid":"ebd1cc470da506c5dbbf41e5e5ce47ed","score":"0.5982176","text":"@Override\n\tpublic Respuesta buscaPorId(RespuestaId id) {\n\t\treturn null;\n\t}","title":""},{"docid":"9dd3a6dea12d058615b5392a9912312c","score":"0.5978825","text":"@Override\n\t@Transactional\n\tpublic Patient savePatient(Patient patient) {\n\t\tDossier_patient dossier =new Dossier_patient();\n\t\t// create random object\n\t\t Random randomno = new Random();\n\t\t \n\t\t // get next long value \n\t\t long num = (long) Math.abs(randomno.nextInt());\n\t\t \n\t\tdossier.setNum_dossier(num);\n\t\tpatient.setDossier_patient(dossier);\n\t\t\n\t\tdossier.setPatient(patient);\n\t\tdossier_patientrepository.save(dossier);\n\t\t\n\t\treturn patientrepository.save(patient) ;\n\t\n\t\n\t}","title":""},{"docid":"30da8db2689e6e5d161f38e98b0cc174","score":"0.5964395","text":"public int getIdDocumento(){\r\n return localIdDocumento;\r\n }","title":""},{"docid":"00ffec5354a4f6822b00129d2a0ef53d","score":"0.5957956","text":"@Override\n\t@Transactional \n\tpublic DafPatient getPatientByVersionId(int theId, String versionId) {\n\t\tDafPatient list = getSession().createNativeQuery(\n\t\t\t\"select * from patient where id = '\"+theId+\"' and data->'meta'->>'versionId' = '\"+versionId+\"'\", DafPatient.class)\n\t\t\t\t.getSingleResult();\n\t\t\treturn list;\n\t}","title":""},{"docid":"58f095753701ea3d0465915462c39a84","score":"0.59387964","text":"private void fetchPatient(int patientId) throws ClassNotFoundException, SQLException {\r\n\r\n\t\tSqliteConn conn = new SqliteConn();\r\n\t\tConnection dbConn = conn.connect();\r\n\t\tStatement stat = dbConn.createStatement();\r\n\r\n\t\tResultSet rs = stat.executeQuery(\"SELECT * FROM patient_details WHERE ID=\" + patientId);\r\n\r\n\t\twhile(rs.next())\r\n\t\t{\r\n\t\t\tpName = rs.getString(\"Name\");\r\n\t\t\tpSurname = rs.getString(\"Surname\");\r\n\t\t}\r\n\r\n\t\tconn.close();\r\n\t}","title":""},{"docid":"3809af18293bfc62392a3ed1093c02a2","score":"0.5933536","text":"@Override\n\tpublic Question rechercherParId(String id) {\n\t\treturn null;\n\t}","title":""},{"docid":"226aada855783b341d8746d27edc83db","score":"0.5895021","text":"public int getId()\r\n/* 70: */ {\r\n/* 71:108 */ return this.idCuentaPorPagar;\r\n/* 72: */ }","title":""},{"docid":"165438c0104720afa6a1a77f788adc34","score":"0.58919364","text":"public void grabar(int p_id) {\n\t}","title":""},{"docid":"1d843b843f91410d55b970245d6698ee","score":"0.58887285","text":"public int getIdNote(){\r\n return localIdNote;\r\n }","title":""},{"docid":"1d843b843f91410d55b970245d6698ee","score":"0.58887285","text":"public int getIdNote(){\r\n return localIdNote;\r\n }","title":""},{"docid":"d0908c47ca4600b5ef8a47f9d67ea3ed","score":"0.5882249","text":"@RolesAllowed({ \"admin\", \"patient\" })\r\n\t@GET\r\n\t@Path(\"/{PatientID}\")\r\n\t// @Consumes(MediaType.APPLICATION_JSON)\r\n\t@Produces(MediaType.APPLICATION_JSON)\r\n\tpublic PatientBean readPatientById(@PathParam(\"PatientID\") int id) {\r\n\t\treturn PatientObj.readPatientById(id);\r\n\t}","title":""},{"docid":"4f32488df1e07b441945d552e88d22a9","score":"0.58773506","text":"public diagnosis show_diag_info(int na_id ) throws SQLException{\n Patient p =new Patient();\n p.national_id = na_id;\n dbconnection con = new dbconnection() ; Connection conn = con.conn();\n \n // national = id \n PreparedStatement s = conn.prepareStatement(\"select patient.patient_id from patient \"\n + \"where patient.national_id = '\"+ p.national_id +\"'\");\n ResultSet se = s.executeQuery();\n p.patient_id = se.getInt(1);\n \n PreparedStatement stmt = conn.prepareStatement(\"select diagnosis.date ,diagnosis.info_about_illness from diagnosis\"\n + \" inner join patient on patient.dia_id = diagnosis.dia_id \"\n + \"where patient.patient_id ='\"+ p.patient_id + \"';\");\n ResultSet set = stmt.executeQuery();\n diagnosis d=new diagnosis();\n d.date=set.getString(1);\n d.info_ill=set.getString(2);\n return d;\n \n }","title":""},{"docid":"798637fbf98f88f7a310d35e3585490f","score":"0.5873095","text":"public String getId() \n {\n \n return id;\n }","title":""},{"docid":"39e0050f5e54ca2509a3f3b0cc21216a","score":"0.5872398","text":"@Override\n public String getPatientById(Integer id) {\n Connection connection;\n connection = JDBCConnection.getInstance().getConnection();\n \n try (PreparedStatement statement = connection.prepareStatement(\n \"SELECT LOGIN FROM PATIENTS WHERE id = ?\" )) {\n \n statement.setInt(1, id);\n statement.executeQuery();\n \n ResultSet result = statement.getResultSet();\n if (result.next()) {\n return result.getString(1);\n }\n\n } catch (SQLException ex) {\n Logger.getLogger(JDBCDoctorDao.class.getName()).log(Level.SEVERE, null, ex);\n } \n finally {\n if (connection != null) {\n try {\n connection.close();\n } catch (SQLException ex) {\n Logger.getLogger(JDBCPatientDao.class.getName()).log(Level.SEVERE, null, ex);\n }\n }\n }\n return null;\n }","title":""},{"docid":"73348bf1ea124e8fdc235a74aceb39c6","score":"0.58678895","text":"public void d_ExerciseRecord(int id){}","title":""},{"docid":"ca33db572f8cd9e85cd2daf351fbc7e3","score":"0.58601993","text":"public void setSourcePatientId(Identificator id) {\n\t\txDoc.setSourcePatientId(XdsMetadataUtil.convertEhcIdentificator(id));\n\t}","title":""},{"docid":"c166bc52979a9d2d11397e5b184cb62c","score":"0.5852799","text":"public Doctor getDoctor(int id_doctor);","title":""},{"docid":"f921df4bf78adba26838d45c2ccfc543","score":"0.5839386","text":"public int getId_perro() {\n return id_perro;\n }","title":""},{"docid":"8731076ea274615c8f3392afb5abf162","score":"0.58391833","text":"public void setIdcliente(int pIdcliente){\n this.idcliente = pIdcliente;\n }","title":""},{"docid":"dc71d267fe2f7ab4b302949be0f55321","score":"0.58112425","text":"private void getIdEvento(int id){\n\t}","title":""},{"docid":"4fcac4a5f188025db70adc1671793dcd","score":"0.5808983","text":"@RequestMapping(\"/patients/{Id}\")\n\tpublic Patient getPatientById(@PathVariable(\"Id\") String Id) {\n\t\tPatient p = patients.stream().filter(patient -> Id.equals(patient.getId())).findAny().orElse(null);\n\t\treturn p;\n\t}","title":""},{"docid":"0ca9e4e409684899d8bc0f33d1e3001b","score":"0.5797523","text":"public Estudios_Egresado findByID(Long ide, int idd){\n ConexionBD con = new ConexionBD();\n Connection c = con.conOracle();\n Estudios_Egresado ee=new Estudios_Egresado();\n try{\n CallableStatement cs = c.prepareCall(\"{? =call F_BUSNOMES_EG(?,?)}\");\n cs.registerOutParameter(1, Types.VARCHAR);\n cs.setLong(2, ide);\n cs.setInt(3, idd);\n cs.execute();\n //ee.getId_estudios().setId(1);\n //ee.getId_Egresado().setId(ide);\n //ee.setTitulo(cs.getString(3));\n //ee.setFecha_Grado(cs.getDate(4));\n System.out.println(cs.getString(1));\n con.CerrarCon();\n return ee;\n }catch(SQLException e){\n System.out.println(\"erorrrr findbyid \"+e);\n con.CerrarCon();\n return null;\n }\n\n }","title":""},{"docid":"d048f526390cef538b93f3434c48f249","score":"0.5794019","text":"public int getId(){\r\n return id;\r\n }","title":""},{"docid":"59548ce49ccecaf9aea2d49ecdde81ed","score":"0.57897127","text":"@GetMapping(\"/{patient_id}\")\r\n public PatientTable getPatientDetail(@PathVariable int patient_id) {\r\n return patientModuleService.getPatientDetail(patient_id);\r\n }","title":""},{"docid":"1a3d272b209cfb29b271ffbe35c854b6","score":"0.578854","text":"public Peliculas peliculaXID(Long id);","title":""},{"docid":"4356544664533f5011cb9a9531a856ff","score":"0.5785313","text":"public void setIdPerfil( long idPerfil )\n {\n this.idPerfil = idPerfil;\n }","title":""},{"docid":"9521ec50c6265e8d5432dd549335f52b","score":"0.5779958","text":"@Override\n\tpublic Patient get(int id) {\n\t\tSession session = (Session) HibernateUtil.getSessionFactory().openSession();\n\t\tTransaction transaction = session.beginTransaction();\n\t\tPatient sp = (Patient) session.get(Patient.class, id);\t\n\t\ttransaction.commit();\n\t\tsession.close();\n\t\treturn sp;\n\t}","title":""},{"docid":"cc49588e1e8b7d29305dd8c2a430f302","score":"0.5776583","text":"private int getID()\n {\n return id;\n }","title":""},{"docid":"b1c307c50796117e625fe0ad18d19298","score":"0.5775978","text":"public int getId() {\n return pId;\n }","title":""},{"docid":"3c78e063119336355ee4629014fcbe09","score":"0.57742584","text":"public int getIdPeliPrestada()\n {\n return idPeliculaPrestada;\n }","title":""},{"docid":"605a3e3eeab0a8d9e6c1886b5c2cebfe","score":"0.57701707","text":"public void setPatient ( final String patient ) {\n this.patient = patient;\n }","title":""},{"docid":"605a3e3eeab0a8d9e6c1886b5c2cebfe","score":"0.57701707","text":"public void setPatient ( final String patient ) {\n this.patient = patient;\n }","title":""},{"docid":"0663046c2fe507a4cc9fa0016c440c88","score":"0.57696843","text":"public String getID() {return id;}","title":""},{"docid":"b8e09c4aa70438140e26e946abf505af","score":"0.57616603","text":"int getPalyerID();","title":""},{"docid":"845230259eb62eedcfbe84833f754f01","score":"0.5758256","text":"public int getPrescriptionID()\n {\n return id;\n }","title":""},{"docid":"8f30b1fa294651927efdc95656153ed9","score":"0.57440823","text":"@Override\n\tpublic Integer getFid(Integer pid) {\n\t// TODO Auto-generated method stub\n\t\t\n\t\tInteger a = null;\n\t\tString query = \"SELECT * FROM pmohan_patient_details WHERE pid = ?;\";\n\t\ttry(PreparedStatement statement = connection.prepareStatement(query))\n\t\t{ \n\t\t\t statement.setInt(1, pid);\n\t\t\t ResultSet resultSet = statement.executeQuery();\n\t\t\t while(resultSet.next())\n\t\t\t {\n\t\t\t\t a= resultSet.getInt(1);\n\t\t\t\t System.out.println(a);\n\t\t\t\t System.out.println(pid);\n\t\t\t }\n\t\t}\n\t\t\t catch (SQLException e) {\n\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t}\n\t\t \n\t\treturn a;\t\n\t}","title":""},{"docid":"e5e05f63497439bf5a7f0921efc07c8d","score":"0.57429075","text":"private void getProdiId() {\n String showProdi = \"SELECT prodi.id FROM prodi WHERE prodi.nama='\" + comboBoxProdi.getSelectedItem() + \"'\";\n try {\n // menjalankan query\n conn = DriverManager.getConnection(CONNECTION, USER, PASSWORD);\n rs = conn.createStatement().executeQuery(showProdi);\n // selama masih ada data, beri nilai prodi_id dengan data tersebut\n while(rs.next()) {\n Object data[] = new Object[1];\n data[0] = rs.getInt(1);\n prodi_id = Integer.parseInt(data[0].toString());\n }\n } catch(SQLException e) {\n e.printStackTrace();\n } \n }","title":""},{"docid":"cd5d799d9e106f9f9d4775b8988f3337","score":"0.5738657","text":"public static int deletePatient(Patient patient){\n String query = \"DELETE FROM pacientes WHERE pac_id = \"+patient.getId();\n return Conexion.executeUpdate(query);\n }","title":""},{"docid":"19bd8683b8ae81c3f9af1c18e043caed","score":"0.5738237","text":"public int getId(){\r\n return localId;\r\n }","title":""},{"docid":"19bd8683b8ae81c3f9af1c18e043caed","score":"0.5738237","text":"public int getId(){\r\n return localId;\r\n }","title":""},{"docid":"1af63a1922b625aeecde56d53edb0029","score":"0.5725074","text":"int getID()\n {\n return id;\n }","title":""},{"docid":"ef7fb2e983ac69acd18e441d00c23c7e","score":"0.5718214","text":"public void setIdvenda(int pIdvenda){\n this.idvenda = pIdvenda;\n }","title":""},{"docid":"9ff26c04f51de35cd1584be799116dca","score":"0.5716551","text":"public int getIdPaquete() {\n return idPaquete;\n }","title":""},{"docid":"0593c21e8c0470f3ea58e22a86dc8726","score":"0.5710908","text":"public Integer getIdPersona() {\n return idPersona;\n }","title":""},{"docid":"6cac0dd5c509664a5cd39a03fa2da6cf","score":"0.570819","text":"public int id(){\n return id;\n }","title":""},{"docid":"971d295f0df15df5c3f5a557be279c00","score":"0.5705804","text":"public String getID(){return id;}","title":""},{"docid":"d63489b4df321d374541d0e34390d04a","score":"0.5703965","text":"public int getId(){\n \n return this.id;\n }","title":""},{"docid":"34388a0d0b75f67d54af2d97ac320362","score":"0.56998324","text":"void addPatient(Patient patient) throws DuplicateKeyException;","title":""},{"docid":"7bb2d71c1ac3cd01f30bd011dc8e6602","score":"0.5697481","text":"public String getID() { return id; }","title":""},{"docid":"7bb2d71c1ac3cd01f30bd011dc8e6602","score":"0.5697481","text":"public String getID() { return id; }","title":""},{"docid":"7bb2d71c1ac3cd01f30bd011dc8e6602","score":"0.5697481","text":"public String getID() { return id; }","title":""},{"docid":"24dcdb549a256c0fc4073a0b84bcded8","score":"0.5696364","text":"private Patient getPatient(List <Patient> patientsIn, String idIn)\n {\n \n /*\n This method is used to check if a patient exist.\n It accepts a patient list and a string representing the ID\n of the patient to be searched for. If no patient with the that ID is found,\n a null value is returned otherwise, it returns the patient with that ID.\n */\n \n \n for(int i = 0; i < patientsIn.size(); i++)\n {\n if(patientsIn.get(i).id.equals(idIn))\n {\n return patientsIn.get(i);\n }\n }\n return null;\n \n }","title":""},{"docid":"056f66ef4f9795874d5e1936cbd0e0b7","score":"0.5693131","text":"public int getId(){\n return id;\n }","title":""}],"string":"[\n {\n \"docid\": \"393a12eb89bc9b7d8eb61a513489d59e\",\n \"score\": \"0.75159436\",\n \"text\": \"public Patient getPatient(int id_patient);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bbf3a29e29ddc08a8a5bec515bd2b21a\",\n \"score\": \"0.7161092\",\n \"text\": \"int getPatientId();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d2e1c62394c84c34538914f6e6837158\",\n \"score\": \"0.7150026\",\n \"text\": \"public long getPatientId();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c6fa8f6d1c4417bfbfee7c3db44c8bb\",\n \"score\": \"0.698183\",\n \"text\": \"public Integer getPatientId() {\\n return patientId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69c2fca0fcba6a5d0127144df85cfb93\",\n \"score\": \"0.69725865\",\n \"text\": \"public String getId()\\n\\t{\\n\\t\\treturn patientId;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c60b5763bd9b3f7a6da785f208531fcb\",\n \"score\": \"0.69532996\",\n \"text\": \"public String getPatientId() {\\n return patientId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c60b5763bd9b3f7a6da785f208531fcb\",\n \"score\": \"0.69532996\",\n \"text\": \"public String getPatientId() {\\n return patientId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c60b5763bd9b3f7a6da785f208531fcb\",\n \"score\": \"0.69532996\",\n \"text\": \"public String getPatientId() {\\n return patientId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d36b8009af86bff77f1b08b59676630\",\n \"score\": \"0.6951342\",\n \"text\": \"public int getPatientID() {\\n return patientID;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a61996b03539ed5cd0453284020ce5ed\",\n \"score\": \"0.68525743\",\n \"text\": \"public void setPatientId(long patientId);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"07428dc29d437ad5879b9c9f6154b861\",\n \"score\": \"0.67667246\",\n \"text\": \"Patient getById(String id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46dc76f855c8138c374739cd0d0cccca\",\n \"score\": \"0.6680357\",\n \"text\": \"public String getPatientId() {\\n\\t\\treturn patientId;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"522e2bbb2dd5a65ed9a8b1d6c0f5b70c\",\n \"score\": \"0.6671351\",\n \"text\": \"public void setPatientId(Integer patientId) {\\n this.patientId = patientId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c1bb4fabc9335e94e1195563579b6020\",\n \"score\": \"0.65965605\",\n \"text\": \"public org.pahospital.www.patservice.Patient getPatientByID\\n (\\n org.pahospital.www.patservice.PatientID patientID0\\n )\\n ;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a5ae016c4e93f0e654a362d0df79878d\",\n \"score\": \"0.6576546\",\n \"text\": \"public int getPatientID() {\\n\\t\\treturn patientID;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1e482ec152fa2fc918079f87d8ccce1f\",\n \"score\": \"0.6563961\",\n \"text\": \"public void delet_patient(int na_id ) throws SQLException{\\n dbconnection con = new dbconnection() ; Connection conn = con.conn();\\n Patient p =new Patient();\\n p.national_id = na_id;\\n \\n //national = id \\n PreparedStatement s = conn.prepareStatement(\\\"select patient.patient_id from patient \\\"\\n + \\\"where patient.national_id = '\\\"+ p.national_id +\\\"'\\\");\\n ResultSet set = s.executeQuery();\\n p.patient_id = set.getInt(1);\\n //\\n PreparedStatement stmt = conn.prepareStatement(\\\"delet from patient where patien.patient_id=\\\"\\n + \\\"'\\\"+p.patient_id + \\\"';\\\"); \\n stmt.executeUpdate();\\n JOptionPane.showMessageDialog(null, \\\"Delete Success\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"751c3eef644b6661858619a193795f57\",\n \"score\": \"0.65080273\",\n \"text\": \"@Override\\n\\tpublic Patient chargerPatient(Long id_patient) {\\n\\t\\t\\n\\t\\t\\n\\t\\treturn patientrepository.findOne(id_patient);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"73ee3c4222ab30d615d6613c9f1fe05d\",\n \"score\": \"0.6478493\",\n \"text\": \"@Override\\n\\tpublic DafPatient getPatientById(int theId) {\\n\\t\\tSession session = sessionFactory.openSession();\\n\\t\\tDafPatient dafPatient = (DafPatient)session.get(DafPatient.class, theId);\\n\\t\\tsession.close();\\n\\t\\treturn dafPatient;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8f19176b1ef7a9aa3db98e9a7a2a12bb\",\n \"score\": \"0.6460639\",\n \"text\": \"public void setPatientId(String patientId) {\\n this.patientId = patientId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8f19176b1ef7a9aa3db98e9a7a2a12bb\",\n \"score\": \"0.6460639\",\n \"text\": \"public void setPatientId(String patientId) {\\n this.patientId = patientId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6c9d5e80ff8d60368658614aee19cbfe\",\n \"score\": \"0.6388519\",\n \"text\": \"public Patient findPatientbyId(int id) throws ResourceNotFoundException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ddccc9b91b1129e48bee8eb2acee7fb\",\n \"score\": \"0.63868815\",\n \"text\": \"public void setPatient(long patient) {\\n\\t\\tthis.patient = patient;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"306961852231d57aaf2fc7e891aedc60\",\n \"score\": \"0.63769907\",\n \"text\": \"public static Patients getPatientById() {\\n\\n System.out.println(\\\"Enter the id of the patient: \\\");\\n int id = scanner .nextInt();\\n\\n try {\\n ps = DbConnection.getConnection().prepareStatement(\\\"SELECT * FROM patients WHERE id=\\\" + id);\\n rs = ps.executeQuery();\\n\\n int patientId, age, personal_code;\\n String name, surname, gender;\\n Patients patients = new Patients();\\n\\n while (rs.next()) {\\n patientId = rs.getInt(\\\"id\\\");\\n name = rs.getString(\\\"name\\\");\\n surname = rs.getString(\\\"surname\\\");\\n gender = rs.getString(\\\"gender\\\");\\n age = rs.getInt(\\\"age\\\");\\n personal_code = rs.getInt(\\\"personal_code\\\");\\n patients.setId(patientId);\\n patients.setName(name);\\n patients.setSurname(surname);\\n patients.setAge(age);\\n patients.setGender(gender);\\n patients.setPersonalCode(personal_code);\\n System.out.println(patientId + \\\"\\\\t \\\" + name + \\\"\\\\t \\\" + surname + \\\"\\\\t \\\" + age + \\\"\\\\t \\\" + gender + \\\"\\\\t \\\" + personal_code + \\\"\\\\t \\\");\\n\\n }\\n return patients;\\n\\n\\n } catch (SQLException e) {\\n e.printStackTrace();\\n return null;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"187fec1abd82c91b74a97945cfcfedcf\",\n \"score\": \"0.6368206\",\n \"text\": \"public void setPatientID(int patientID) {\\n this.patientID = patientID;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69e85746d641db59f2be8b4c75cf1f3e\",\n \"score\": \"0.63556707\",\n \"text\": \"public Patient show_info_patient(int na_id ) throws SQLException{\\n Patient p =new Patient();\\n p.national_id = na_id;\\n dbconnection con = new dbconnection() ; Connection conn = con.conn();\\n \\n // national = id \\n PreparedStatement s = conn.prepareStatement(\\\"select patient.patient_id from patient \\\"\\n + \\\"where patient.national_id = '\\\"+ p.national_id +\\\"'\\\");\\n ResultSet se = s.executeQuery();\\n p.patient_id = se.getInt(1);\\n \\n //\\n PreparedStatement stmt = conn.prepareStatement(\\\"select name,phone,e_mail,address,age,national_id,symptom\\\"\\n + \\\"from patient where patient.patient_id='\\\"+ p.patient_id + \\\"';\\\");\\n ResultSet set = stmt.executeQuery();\\n p.name=set.getString(1);\\n p.phone=set.getInt(2);\\n p.email=set.getString(3);\\n p.address=set.getString(4);\\n p.age=set.getInt(5);\\n p.national_id=set.getInt(6);\\n p.symptom=set.getString(7);\\n return p;\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ca30e60232341798b30165beb28f2980\",\n \"score\": \"0.6348008\",\n \"text\": \"public long getPatient() {\\n\\t\\treturn patient;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e627f68bc0438ddb7913c0eb2947e3b0\",\n \"score\": \"0.6344785\",\n \"text\": \"public Patient findByPatientId(long id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b9efd9a7dbb4db8b4e79ae00baf1205\",\n \"score\": \"0.63228923\",\n \"text\": \"@Override\\n\\tpublic Patient findPatient(long idP) {\\n\\t\\tOptional<Patient> patientOptional = patientrepository.findById(idP);\\n\\t\\tPatient patient = new Patient();\\n\\t\\tif(patientOptional.isPresent() == true) {\\n\\t\\t\\tpatient = patientOptional.get();\\n\\t\\t}\\n\\t\\treturn patient;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4fb365ae6f5ab77efe8f8a3424b85918\",\n \"score\": \"0.63093007\",\n \"text\": \"public String getRealPatientId() {\\n return realPatientId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c8718612d698ab00ae2e59ecab800224\",\n \"score\": \"0.6220281\",\n \"text\": \"@Override\\n\\tpublic PatientModel getPatientById(long id) {\\n\\t\\treturn patientRepository.findById(id).get();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"098d0c8d44779cc49d1578f23cd70ed1\",\n \"score\": \"0.6178038\",\n \"text\": \"public Patient(Integer patientId) {\\n\\t\\tsuper(patientId);\\n\\t\\tthis.patientId = patientId;\\n\\t\\tsetPatient(true);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"731385d9fddb566e52c9c23f4cff6382\",\n \"score\": \"0.61503404\",\n \"text\": \"@Override\\r\\n\\tpublic void mettreAjourGerant(int id, String prenom) {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"51f260ec520b4d7a65a128af58a81565\",\n \"score\": \"0.61382633\",\n \"text\": \"public void setPatientId(Integer patientId) {\\n\\t\\tsuper.setPersonId(patientId);\\n\\t\\tthis.patientId = patientId;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8d15273f60bf5c1a267d3213c254df5b\",\n \"score\": \"0.6135595\",\n \"text\": \"public void setIdPaciente(Integer idPaciente) {\\r\\n this.idPaciente = idPaciente;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ef530d2fdaa836b17085b92673fe53d\",\n \"score\": \"0.61337185\",\n \"text\": \"public DetallePedido buscarOneDetallePedido(Long id) {\\n\\n Connection conexion = null;\\n Conexion con = new Conexion();\\n DetallePedido detallePedido = null;\\n PreparedStatement ps = null; //Este objeto permite guardar las consultas que hacemos a la BD.\\n ResultSet rs = null; // este objeto lo usamos cuando obtenemos algo de la base de datos.\\n\\n try {\\n\\n conexion = con.getConnection(); //metodo getConnection, logueamos el usuario.\\n\\n ps = conexion.prepareStatement(\\\"SELECT * FROM detalle_pedido WHERE idDetalle = ?\\\");\\n\\n ps.setLong(1, id); //pasamos el id parametro y se ingresa en el ? del query\\n\\n rs = ps.executeQuery(); //Ejecutamos el Resulset y executeQuery cuando obtenemos algo de la base de datos.\\n\\n if (rs.next()) { //si nos devuelve un dato true\\n\\n Long idDetallePedido = rs.getLong(1); //cada numero del parametro hace referencia al dato del campo que se desea obtener = idPersona\\n int cantidad = rs.getInt(2);\\n double subTotal = rs.getDouble(3);\\n Long idPedido = rs.getLong(4);\\n Long idArticuloManufacturado = rs.getLong(5);\\n \\n\\n detallePedido = new DetallePedido(idDetallePedido, cantidad, subTotal, idPedido, idArticuloManufacturado);\\n\\n System.out.println(\\\"El Registro fue encontrado con exito.\\\");\\n //JOptionPane.showMessageDialog(null, \\\"El Registro fue encontrado con exito.\\\");\\n\\n } else {\\n\\n System.out.println(\\\"El Registro no fue encontrado en la Base de Datos.\\\");\\n //JOptionPane.showMessageDialog(null, \\\"El Registro no fue encontrado en la Base de Datos.\\\");\\n }\\n\\n conexion.close();\\n\\n } catch (Exception ex) {\\n\\n System.err.println(\\\"Error. \\\" + ex);\\n\\n } finally {\\n\\n try {\\n\\n ps.close();\\n rs.close();\\n\\n } catch (SQLException ex) {\\n System.err.println(\\\"Error. \\\" + ex);\\n }\\n\\n }\\n\\n return detallePedido; //devolvemos el alumno encontrado\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd40bb936b98055d0ca6f15320183c88\",\n \"score\": \"0.61313695\",\n \"text\": \"public Identificator getPatientId() {\\n\\t\\treturn XdsMetadataUtil.convertOhtCx(xDoc.getPatientId());\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6da906515191842189208a9ca174957f\",\n \"score\": \"0.61231726\",\n \"text\": \"public static int newPatient(Patient patient){\\n String query = \\\"INSERT INTO pacientes (pac_nombre, pac_apellidoPaterno, pac_apellidoMaterno, pac_fechaNacimiento, pac_genero, pac_telefono, pac_telefono_movil,\\\"\\n + \\\"pac_rfc, pac_correo, pac_codigo_postal, pac_direccion, pac_responsable, pac_referenciado, pac_responsable_parentezco, pac_datos_especiales) \\\"\\n + \\\"VALUES ('\\\"+patient.getNombre()+\\\"', '\\\"+patient.getApellidoPaterno()+\\\"', '\\\"+patient.getApellidoMaterno()+\\\"', \\\"\\n + \\\" '\\\"+patient.getFechaNacimiento()+\\\"', '\\\"+patient.getGenero()+\\\"', '\\\"+patient.getTelefono()+\\\"', '\\\"+patient.getCelular()+\\\"', \\\"\\n + \\\" '\\\"+patient.getRFC()+\\\"', '\\\"+patient.getCorreo()+\\\"', '\\\"+patient.getCodigoPostal()+\\\"', '\\\"+patient.getDireccion()+\\\"', \\\"\\n + \\\" '\\\"+patient.getResponsable()+\\\"', '\\\"+patient.getReferenciado()+\\\"', '\\\"+patient.getResponsableParentezco()+\\\"', '\\\"+patient.getDatosEspeciales()+\\\"') \\\";\\n \\n return Conexion.executeUpdate(query);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"34ec1aa3880d7da1ae19b172736a9265\",\n \"score\": \"0.6115078\",\n \"text\": \"@Override\\n\\tpublic Persona obtnerPersonaPorId(Integer id) {\\n\\t\\tSystem.out.println(\\\"Se envio id para consultar persona\\\");\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"17298c241967dc9642b101742ca1b3cc\",\n \"score\": \"0.6094625\",\n \"text\": \"@Override\\n\\t@Transactional\\n\\tpublic void effacerPatient(Long id_patient) {\\n\\t\\tpatientrepository.delete(id_patient);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7a29541bceb570b940f4e125337045f5\",\n \"score\": \"0.6065265\",\n \"text\": \"public patient AddPatient(patient p){\\n\\t\\tint role= 0;Integer id=null;\\n\\t\\tString query1 = \\\"INSERT INTO pmohan_patient_details (firstname, lastname,gender,dob,age,docId,fid) VALUES (?,?, ?, ?, ?, ?,?) ;\\\";\\n\\t\\tString query2 = \\\"INSERT INTO pmohan_login(id, username,password,role) VALUES (?,?,?,?); \\\";\\n\\t\\tString query3= \\\"SELECT * FROM pmohan_patient_details WHERE firstname= ?;\\\";\\n\\t\\tString query4= \\\"INSERT INTO pmohan_family_details(fid,fname) VALUES (?,?);\\\";\\n\\t\\t//String query4 = \\\"INSERT INTO pmohan_prescription(fid,fname) VALUES (?,?);\\\";\\n\\t\\ttry(PreparedStatement statement = connection.prepareStatement(query1, Statement.RETURN_GENERATED_KEYS))\\n\\t\\t{\\n statement.setString(1, p.getFirstname());\\n statement.setString(2, p.getLastname());\\n statement.setString(3, p.getGender());\\n statement.setString(4, p.getDob());\\n statement.setInt(5, p.getAge());\\n statement.setInt(6,p.getDocId() );\\n statement.setInt(7,p.getFid());\\n statement.executeUpdate();\\n \\n PreparedStatement statement11 = connection.prepareStatement(query3);\\n statement11.setString(1, p.getFirstname());\\n ResultSet resultSet = statement11.executeQuery();\\n while (resultSet.next())\\n {\\n \\t id= resultSet.getInt(2);\\n \\t System.out.println(id);\\n }\\n PreparedStatement statement111 = connection.prepareStatement(query4);\\n statement111.setInt(1, p.getFid());\\n statement111.setString(2, p.getFirstname());\\n statement111.executeUpdate();\\n \\n \\tPreparedStatement statement2 = connection.prepareStatement(query2); \\n \\tstatement2.setInt(1,id );\\n \\tstatement2.setString(2, p.getUsername());\\n statement2.setString(3, p.getPassword());\\n statement2.setInt(4, role);\\n statement2.executeUpdate();\\n\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t\\tcatch(Exception e){\\n\\t\\t\\tp = null;\\n System.out.println(\\\"Error Creating patient: \\\" + e);\\n\\t\\t} \\n\\t\\t\\n\\t\\t return p;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7e1384c7f501cc608af37db42406fee7\",\n \"score\": \"0.60530466\",\n \"text\": \"@Override\\r\\n\\tpublic Professeur trouver(int idPersonne) throws DAOException {\\n\\t\\t\\r\\n\\t\\t Connection connexion = null;\\r\\n\\t\\t PreparedStatement preparedStatement = null;\\r\\n\\t\\t ResultSet resultSet = null;\\r\\n\\t\\t Professeur professeur = null;\\r\\n\\r\\n\\t\\t try {\\r\\n\\t\\t /* Récupération d'une connexion depuis la Factory */\\r\\n\\t\\t connexion = daoFactory.getConnection();\\r\\n\\t\\t preparedStatement = DAODataBaseManager.initialisationRequetePreparee( connexion, SQL_SELECT_PROFESSEUR_PAR_ID_PERSONNE, false, idPersonne);\\r\\n\\t\\t resultSet = preparedStatement.executeQuery();\\r\\n\\t\\t /* Parcours de la ligne de données de l'éventuel ResulSet retourné */\\r\\n\\t\\t if ( resultSet.next() ) {\\r\\n\\r\\n\\t\\t \\tprofesseur = map( resultSet );\\r\\n\\r\\n\\t\\t }\\r\\n\\t\\t \\r\\n\\t\\t return professeur;\\r\\n\\t\\t \\r\\n\\t\\t } catch ( SQLException e ) {\\r\\n\\t\\t throw new DAOException( e );\\r\\n\\t\\t } finally {\\r\\n\\t\\t \\tDAODataBaseManager.fermeturesSilencieuses( resultSet, preparedStatement, connexion );\\r\\n\\t\\t }\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9247ebd2982572a1031178f1727b687e\",\n \"score\": \"0.60426563\",\n \"text\": \"public String getPatient () {\\n return patient;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9247ebd2982572a1031178f1727b687e\",\n \"score\": \"0.60426563\",\n \"text\": \"public String getPatient () {\\n return patient;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9cf48d7ac0af47bcb1056f257f1b057b\",\n \"score\": \"0.60385305\",\n \"text\": \"public void updata_patient(Patient p_) throws SQLException{\\n Patient p =p_;\\n dbconnection con = new dbconnection() ; Connection conn = con.conn();\\n \\n \\n // national = id \\n PreparedStatement s = conn.prepareStatement(\\\"select patient.patient_id from patient \\\"\\n + \\\"where patient.national_id = '\\\"+ p.national_id +\\\"'\\\");\\n ResultSet set = s.executeQuery();\\n p.patient_id = set.getInt(1);\\n \\n PreparedStatement stmt = conn.prepareStatement(\\\"update patient set name=?,phone=?,e_mail=?\\\"\\n + \\\",address=?,age=?,national_id=?,symptom=? where patient_id='\\\"+ p.patient_id + \\\"';\\\");\\n stmt.setString(1,p.name);\\n stmt.setInt(3,p.phone);\\n stmt.setString(4,p.email);\\n stmt.setString(2,p.address);\\n stmt.setInt(5,p.age);\\n stmt.setInt(6,p.national_id);\\n stmt.setString(7,p.symptom);\\n stmt.executeUpdate();\\n JOptionPane.showConfirmDialog(null,\\\"Submit Successed\\\");\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"34d5977892bfa3adb77267466d4893aa\",\n \"score\": \"0.601872\",\n \"text\": \"@Transactional\\n\\tpublic patient getPatientById(int id) {\\n\\t\\treturn patientDaoImp.getPatientById(id);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9890369802d67fa02ad8c75b15c54283\",\n \"score\": \"0.600223\",\n \"text\": \"private void addpatient() {\\n getfield();\\n connection = Connector.ConnectDb();\\n try {\\n sql = \\\"INSERT INTO tbl_pasien(Tanggal,id_pasien,Nama_Pasien,Usia,Jenis_Kelamin,Alamat,Nomor_Telepon,Penyakit) VALUES (?, ?, ?, ?, ?, ?, ?, ?)\\\";\\n ps = connection.prepareStatement(sql);\\n ps.setString(1, dob);\\n ps.setString(2, uId);\\n ps.setString(3, uName);\\n ps.setString(4, usia);\\n ps.setString(5, gender);\\n ps.setString(6, addrs);\\n ps.setString(7, phone);\\n ps.setString(8, penyakit);\\n\\n int rt = ps.executeUpdate();\\n\\n JOptionPane.showMessageDialog(null, \\\"Data Tersimpan\\\");\\n\\n autoid();\\n DefaultTableModel dtm = (DefaultTableModel) jTable1.getModel();\\n dtm.setRowCount(0);\\n loadtable();\\n clear();\\n } catch (Exception e) {\\n System.out.println(\\\"Error \\\" + e.getMessage());\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a2009cfb0d08b8bcb516da3b503dac60\",\n \"score\": \"0.5987032\",\n \"text\": \"@Override\\n\\tpublic int deletePatient(long idP) {\\n\\t\\tPatient p = new Patient();\\n\\t\\t\\tp.setIdPatient(idP);\\n\\t\\tpatientrepository.delete(p);\\n\\t\\treturn 1;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ebd1cc470da506c5dbbf41e5e5ce47ed\",\n \"score\": \"0.5982176\",\n \"text\": \"@Override\\n\\tpublic Respuesta buscaPorId(RespuestaId id) {\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9dd3a6dea12d058615b5392a9912312c\",\n \"score\": \"0.5978825\",\n \"text\": \"@Override\\n\\t@Transactional\\n\\tpublic Patient savePatient(Patient patient) {\\n\\t\\tDossier_patient dossier =new Dossier_patient();\\n\\t\\t// create random object\\n\\t\\t Random randomno = new Random();\\n\\t\\t \\n\\t\\t // get next long value \\n\\t\\t long num = (long) Math.abs(randomno.nextInt());\\n\\t\\t \\n\\t\\tdossier.setNum_dossier(num);\\n\\t\\tpatient.setDossier_patient(dossier);\\n\\t\\t\\n\\t\\tdossier.setPatient(patient);\\n\\t\\tdossier_patientrepository.save(dossier);\\n\\t\\t\\n\\t\\treturn patientrepository.save(patient) ;\\n\\t\\n\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"30da8db2689e6e5d161f38e98b0cc174\",\n \"score\": \"0.5964395\",\n \"text\": \"public int getIdDocumento(){\\r\\n return localIdDocumento;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"00ffec5354a4f6822b00129d2a0ef53d\",\n \"score\": \"0.5957956\",\n \"text\": \"@Override\\n\\t@Transactional \\n\\tpublic DafPatient getPatientByVersionId(int theId, String versionId) {\\n\\t\\tDafPatient list = getSession().createNativeQuery(\\n\\t\\t\\t\\\"select * from patient where id = '\\\"+theId+\\\"' and data->'meta'->>'versionId' = '\\\"+versionId+\\\"'\\\", DafPatient.class)\\n\\t\\t\\t\\t.getSingleResult();\\n\\t\\t\\treturn list;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"58f095753701ea3d0465915462c39a84\",\n \"score\": \"0.59387964\",\n \"text\": \"private void fetchPatient(int patientId) throws ClassNotFoundException, SQLException {\\r\\n\\r\\n\\t\\tSqliteConn conn = new SqliteConn();\\r\\n\\t\\tConnection dbConn = conn.connect();\\r\\n\\t\\tStatement stat = dbConn.createStatement();\\r\\n\\r\\n\\t\\tResultSet rs = stat.executeQuery(\\\"SELECT * FROM patient_details WHERE ID=\\\" + patientId);\\r\\n\\r\\n\\t\\twhile(rs.next())\\r\\n\\t\\t{\\r\\n\\t\\t\\tpName = rs.getString(\\\"Name\\\");\\r\\n\\t\\t\\tpSurname = rs.getString(\\\"Surname\\\");\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tconn.close();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3809af18293bfc62392a3ed1093c02a2\",\n \"score\": \"0.5933536\",\n \"text\": \"@Override\\n\\tpublic Question rechercherParId(String id) {\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"226aada855783b341d8746d27edc83db\",\n \"score\": \"0.5895021\",\n \"text\": \"public int getId()\\r\\n/* 70: */ {\\r\\n/* 71:108 */ return this.idCuentaPorPagar;\\r\\n/* 72: */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"165438c0104720afa6a1a77f788adc34\",\n \"score\": \"0.58919364\",\n \"text\": \"public void grabar(int p_id) {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1d843b843f91410d55b970245d6698ee\",\n \"score\": \"0.58887285\",\n \"text\": \"public int getIdNote(){\\r\\n return localIdNote;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1d843b843f91410d55b970245d6698ee\",\n \"score\": \"0.58887285\",\n \"text\": \"public int getIdNote(){\\r\\n return localIdNote;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d0908c47ca4600b5ef8a47f9d67ea3ed\",\n \"score\": \"0.5882249\",\n \"text\": \"@RolesAllowed({ \\\"admin\\\", \\\"patient\\\" })\\r\\n\\t@GET\\r\\n\\t@Path(\\\"/{PatientID}\\\")\\r\\n\\t// @Consumes(MediaType.APPLICATION_JSON)\\r\\n\\t@Produces(MediaType.APPLICATION_JSON)\\r\\n\\tpublic PatientBean readPatientById(@PathParam(\\\"PatientID\\\") int id) {\\r\\n\\t\\treturn PatientObj.readPatientById(id);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4f32488df1e07b441945d552e88d22a9\",\n \"score\": \"0.58773506\",\n \"text\": \"public diagnosis show_diag_info(int na_id ) throws SQLException{\\n Patient p =new Patient();\\n p.national_id = na_id;\\n dbconnection con = new dbconnection() ; Connection conn = con.conn();\\n \\n // national = id \\n PreparedStatement s = conn.prepareStatement(\\\"select patient.patient_id from patient \\\"\\n + \\\"where patient.national_id = '\\\"+ p.national_id +\\\"'\\\");\\n ResultSet se = s.executeQuery();\\n p.patient_id = se.getInt(1);\\n \\n PreparedStatement stmt = conn.prepareStatement(\\\"select diagnosis.date ,diagnosis.info_about_illness from diagnosis\\\"\\n + \\\" inner join patient on patient.dia_id = diagnosis.dia_id \\\"\\n + \\\"where patient.patient_id ='\\\"+ p.patient_id + \\\"';\\\");\\n ResultSet set = stmt.executeQuery();\\n diagnosis d=new diagnosis();\\n d.date=set.getString(1);\\n d.info_ill=set.getString(2);\\n return d;\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"798637fbf98f88f7a310d35e3585490f\",\n \"score\": \"0.5873095\",\n \"text\": \"public String getId() \\n {\\n \\n return id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39e0050f5e54ca2509a3f3b0cc21216a\",\n \"score\": \"0.5872398\",\n \"text\": \"@Override\\n public String getPatientById(Integer id) {\\n Connection connection;\\n connection = JDBCConnection.getInstance().getConnection();\\n \\n try (PreparedStatement statement = connection.prepareStatement(\\n \\\"SELECT LOGIN FROM PATIENTS WHERE id = ?\\\" )) {\\n \\n statement.setInt(1, id);\\n statement.executeQuery();\\n \\n ResultSet result = statement.getResultSet();\\n if (result.next()) {\\n return result.getString(1);\\n }\\n\\n } catch (SQLException ex) {\\n Logger.getLogger(JDBCDoctorDao.class.getName()).log(Level.SEVERE, null, ex);\\n } \\n finally {\\n if (connection != null) {\\n try {\\n connection.close();\\n } catch (SQLException ex) {\\n Logger.getLogger(JDBCPatientDao.class.getName()).log(Level.SEVERE, null, ex);\\n }\\n }\\n }\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"73348bf1ea124e8fdc235a74aceb39c6\",\n \"score\": \"0.58678895\",\n \"text\": \"public void d_ExerciseRecord(int id){}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ca33db572f8cd9e85cd2daf351fbc7e3\",\n \"score\": \"0.58601993\",\n \"text\": \"public void setSourcePatientId(Identificator id) {\\n\\t\\txDoc.setSourcePatientId(XdsMetadataUtil.convertEhcIdentificator(id));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c166bc52979a9d2d11397e5b184cb62c\",\n \"score\": \"0.5852799\",\n \"text\": \"public Doctor getDoctor(int id_doctor);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f921df4bf78adba26838d45c2ccfc543\",\n \"score\": \"0.5839386\",\n \"text\": \"public int getId_perro() {\\n return id_perro;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8731076ea274615c8f3392afb5abf162\",\n \"score\": \"0.58391833\",\n \"text\": \"public void setIdcliente(int pIdcliente){\\n this.idcliente = pIdcliente;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dc71d267fe2f7ab4b302949be0f55321\",\n \"score\": \"0.58112425\",\n \"text\": \"private void getIdEvento(int id){\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4fcac4a5f188025db70adc1671793dcd\",\n \"score\": \"0.5808983\",\n \"text\": \"@RequestMapping(\\\"/patients/{Id}\\\")\\n\\tpublic Patient getPatientById(@PathVariable(\\\"Id\\\") String Id) {\\n\\t\\tPatient p = patients.stream().filter(patient -> Id.equals(patient.getId())).findAny().orElse(null);\\n\\t\\treturn p;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0ca9e4e409684899d8bc0f33d1e3001b\",\n \"score\": \"0.5797523\",\n \"text\": \"public Estudios_Egresado findByID(Long ide, int idd){\\n ConexionBD con = new ConexionBD();\\n Connection c = con.conOracle();\\n Estudios_Egresado ee=new Estudios_Egresado();\\n try{\\n CallableStatement cs = c.prepareCall(\\\"{? =call F_BUSNOMES_EG(?,?)}\\\");\\n cs.registerOutParameter(1, Types.VARCHAR);\\n cs.setLong(2, ide);\\n cs.setInt(3, idd);\\n cs.execute();\\n //ee.getId_estudios().setId(1);\\n //ee.getId_Egresado().setId(ide);\\n //ee.setTitulo(cs.getString(3));\\n //ee.setFecha_Grado(cs.getDate(4));\\n System.out.println(cs.getString(1));\\n con.CerrarCon();\\n return ee;\\n }catch(SQLException e){\\n System.out.println(\\\"erorrrr findbyid \\\"+e);\\n con.CerrarCon();\\n return null;\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d048f526390cef538b93f3434c48f249\",\n \"score\": \"0.5794019\",\n \"text\": \"public int getId(){\\r\\n return id;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"59548ce49ccecaf9aea2d49ecdde81ed\",\n \"score\": \"0.57897127\",\n \"text\": \"@GetMapping(\\\"/{patient_id}\\\")\\r\\n public PatientTable getPatientDetail(@PathVariable int patient_id) {\\r\\n return patientModuleService.getPatientDetail(patient_id);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1a3d272b209cfb29b271ffbe35c854b6\",\n \"score\": \"0.578854\",\n \"text\": \"public Peliculas peliculaXID(Long id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4356544664533f5011cb9a9531a856ff\",\n \"score\": \"0.5785313\",\n \"text\": \"public void setIdPerfil( long idPerfil )\\n {\\n this.idPerfil = idPerfil;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9521ec50c6265e8d5432dd549335f52b\",\n \"score\": \"0.5779958\",\n \"text\": \"@Override\\n\\tpublic Patient get(int id) {\\n\\t\\tSession session = (Session) HibernateUtil.getSessionFactory().openSession();\\n\\t\\tTransaction transaction = session.beginTransaction();\\n\\t\\tPatient sp = (Patient) session.get(Patient.class, id);\\t\\n\\t\\ttransaction.commit();\\n\\t\\tsession.close();\\n\\t\\treturn sp;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cc49588e1e8b7d29305dd8c2a430f302\",\n \"score\": \"0.5776583\",\n \"text\": \"private int getID()\\n {\\n return id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b1c307c50796117e625fe0ad18d19298\",\n \"score\": \"0.5775978\",\n \"text\": \"public int getId() {\\n return pId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3c78e063119336355ee4629014fcbe09\",\n \"score\": \"0.57742584\",\n \"text\": \"public int getIdPeliPrestada()\\n {\\n return idPeliculaPrestada;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"605a3e3eeab0a8d9e6c1886b5c2cebfe\",\n \"score\": \"0.57701707\",\n \"text\": \"public void setPatient ( final String patient ) {\\n this.patient = patient;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"605a3e3eeab0a8d9e6c1886b5c2cebfe\",\n \"score\": \"0.57701707\",\n \"text\": \"public void setPatient ( final String patient ) {\\n this.patient = patient;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0663046c2fe507a4cc9fa0016c440c88\",\n \"score\": \"0.57696843\",\n \"text\": \"public String getID() {return id;}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b8e09c4aa70438140e26e946abf505af\",\n \"score\": \"0.57616603\",\n \"text\": \"int getPalyerID();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"845230259eb62eedcfbe84833f754f01\",\n \"score\": \"0.5758256\",\n \"text\": \"public int getPrescriptionID()\\n {\\n return id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8f30b1fa294651927efdc95656153ed9\",\n \"score\": \"0.57440823\",\n \"text\": \"@Override\\n\\tpublic Integer getFid(Integer pid) {\\n\\t// TODO Auto-generated method stub\\n\\t\\t\\n\\t\\tInteger a = null;\\n\\t\\tString query = \\\"SELECT * FROM pmohan_patient_details WHERE pid = ?;\\\";\\n\\t\\ttry(PreparedStatement statement = connection.prepareStatement(query))\\n\\t\\t{ \\n\\t\\t\\t statement.setInt(1, pid);\\n\\t\\t\\t ResultSet resultSet = statement.executeQuery();\\n\\t\\t\\t while(resultSet.next())\\n\\t\\t\\t {\\n\\t\\t\\t\\t a= resultSet.getInt(1);\\n\\t\\t\\t\\t System.out.println(a);\\n\\t\\t\\t\\t System.out.println(pid);\\n\\t\\t\\t }\\n\\t\\t}\\n\\t\\t\\t catch (SQLException e) {\\n\\t\\t\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t\\t}\\n\\t\\t \\n\\t\\treturn a;\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e5e05f63497439bf5a7f0921efc07c8d\",\n \"score\": \"0.57429075\",\n \"text\": \"private void getProdiId() {\\n String showProdi = \\\"SELECT prodi.id FROM prodi WHERE prodi.nama='\\\" + comboBoxProdi.getSelectedItem() + \\\"'\\\";\\n try {\\n // menjalankan query\\n conn = DriverManager.getConnection(CONNECTION, USER, PASSWORD);\\n rs = conn.createStatement().executeQuery(showProdi);\\n // selama masih ada data, beri nilai prodi_id dengan data tersebut\\n while(rs.next()) {\\n Object data[] = new Object[1];\\n data[0] = rs.getInt(1);\\n prodi_id = Integer.parseInt(data[0].toString());\\n }\\n } catch(SQLException e) {\\n e.printStackTrace();\\n } \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd5d799d9e106f9f9d4775b8988f3337\",\n \"score\": \"0.5738657\",\n \"text\": \"public static int deletePatient(Patient patient){\\n String query = \\\"DELETE FROM pacientes WHERE pac_id = \\\"+patient.getId();\\n return Conexion.executeUpdate(query);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"19bd8683b8ae81c3f9af1c18e043caed\",\n \"score\": \"0.5738237\",\n \"text\": \"public int getId(){\\r\\n return localId;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"19bd8683b8ae81c3f9af1c18e043caed\",\n \"score\": \"0.5738237\",\n \"text\": \"public int getId(){\\r\\n return localId;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1af63a1922b625aeecde56d53edb0029\",\n \"score\": \"0.5725074\",\n \"text\": \"int getID()\\n {\\n return id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef7fb2e983ac69acd18e441d00c23c7e\",\n \"score\": \"0.5718214\",\n \"text\": \"public void setIdvenda(int pIdvenda){\\n this.idvenda = pIdvenda;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9ff26c04f51de35cd1584be799116dca\",\n \"score\": \"0.5716551\",\n \"text\": \"public int getIdPaquete() {\\n return idPaquete;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0593c21e8c0470f3ea58e22a86dc8726\",\n \"score\": \"0.5710908\",\n \"text\": \"public Integer getIdPersona() {\\n return idPersona;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6cac0dd5c509664a5cd39a03fa2da6cf\",\n \"score\": \"0.570819\",\n \"text\": \"public int id(){\\n return id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"971d295f0df15df5c3f5a557be279c00\",\n \"score\": \"0.5705804\",\n \"text\": \"public String getID(){return id;}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d63489b4df321d374541d0e34390d04a\",\n \"score\": \"0.5703965\",\n \"text\": \"public int getId(){\\n \\n return this.id;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"34388a0d0b75f67d54af2d97ac320362\",\n \"score\": \"0.56998324\",\n \"text\": \"void addPatient(Patient patient) throws DuplicateKeyException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7bb2d71c1ac3cd01f30bd011dc8e6602\",\n \"score\": \"0.5697481\",\n \"text\": \"public String getID() { return id; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7bb2d71c1ac3cd01f30bd011dc8e6602\",\n \"score\": \"0.5697481\",\n \"text\": \"public String getID() { return id; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7bb2d71c1ac3cd01f30bd011dc8e6602\",\n \"score\": \"0.5697481\",\n \"text\": \"public String getID() { return id; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"24dcdb549a256c0fc4073a0b84bcded8\",\n \"score\": \"0.5696364\",\n \"text\": \"private Patient getPatient(List <Patient> patientsIn, String idIn)\\n {\\n \\n /*\\n This method is used to check if a patient exist.\\n It accepts a patient list and a string representing the ID\\n of the patient to be searched for. If no patient with the that ID is found,\\n a null value is returned otherwise, it returns the patient with that ID.\\n */\\n \\n \\n for(int i = 0; i < patientsIn.size(); i++)\\n {\\n if(patientsIn.get(i).id.equals(idIn))\\n {\\n return patientsIn.get(i);\\n }\\n }\\n return null;\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"056f66ef4f9795874d5e1936cbd0e0b7\",\n \"score\": \"0.5693131\",\n \"text\": \"public int getId(){\\n return id;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992492,"cells":{"query_id":{"kind":"string","value":"c6c7cf8d1f74608b23ea62b3fbffdbdd"},"query":{"kind":"string","value":"deleteAll: Deletes all existing customers from the database. DELETE request to /customers/DeleteAll."},"positive_passages":{"kind":"list like","value":[{"docid":"07576a4eba9735126fdc3303f519356a","score":"0.804161","text":"@Transactional\n @Security.Authenticated(ActionAuthenticator.class)\n public Result deleteAll() {\n int count = customerService.deleteAll();\n if (count == 0)\n return ok(\"No customers currently in the system.\");\n return ok(\"Deleted all \" + count + \" customers\");\n }","title":""}],"string":"[\n {\n \"docid\": \"07576a4eba9735126fdc3303f519356a\",\n \"score\": \"0.804161\",\n \"text\": \"@Transactional\\n @Security.Authenticated(ActionAuthenticator.class)\\n public Result deleteAll() {\\n int count = customerService.deleteAll();\\n if (count == 0)\\n return ok(\\\"No customers currently in the system.\\\");\\n return ok(\\\"Deleted all \\\" + count + \\\" customers\\\");\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"ecf73803d7b5b2d222c0c73bcd528fac","score":"0.7861064","text":"@DeleteMapping(\"/Customers\")\n\tpublic String deleteAll() {\n\t\tlog.debug(\"All Customers are Deleted Successfully\");\n\t\tcustomServiveImpl.deleteAllCustomers();\n\t\treturn \"All employee records deleted.\";\n\t}","title":""},{"docid":"7fcb8da989051d78be26d6c8ab82048c","score":"0.7562245","text":"public void deleteAll();","title":""},{"docid":"c583149adf5c9f271050a1a6c5668151","score":"0.74075454","text":"public void deleteAll() throws DaoException;","title":""},{"docid":"d28ed4edf0c1d64093ca72e52c6ac1fb","score":"0.73210126","text":"public void deleteAll(){\n\t\t\n\t\tContactMapper.contactMapper().deleteAllContacts();\n\t\tContactListMapper.contactListMapper().deleteAllContactLists();\n\t\t\n\t\tConnection con = DBConnection.connection();\n\t\ttry{\n\t\t\tStatement stmt = con.createStatement();\n\t\t\tstmt.executeUpdate(\"DELETE FROM User\");\n\t\t}catch(SQLException e){\n\t\t\te.printStackTrace();\n\t\t}\n\t\t\n\t}","title":""},{"docid":"dc7c92fb7f08f9f9106c75c28e9ea0f4","score":"0.727007","text":"public void DeleteAll()\n\t{\n\t\ttry{\n\t\t\tstatement = db.createStatement(DELETE_ALL_QUERY);\n\t\t\tstatement.prepare();\n\t\t\tstatement.execute();\n\t\t\tstatement.close();\n\t\t} catch(DatabaseException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t}","title":""},{"docid":"6849a9a3b779c1a40a543cd7b1119df6","score":"0.722306","text":"@Override\n\tpublic void deleteAll(Iterable<? extends Customer> entities) {\n\t\t\n\t}","title":""},{"docid":"d23a9d64b5df8535d12c4f749d0ccca8","score":"0.720213","text":"@Transactional(propagation = Propagation.MANDATORY)\n public void deleteAll() {\n getJdbcTemplate().update(deleteAllQuery);\n }","title":""},{"docid":"3b2e57ff7bb78b3275c34bca9869db4d","score":"0.7183492","text":"void deleteAll();","title":""},{"docid":"3b2e57ff7bb78b3275c34bca9869db4d","score":"0.7183492","text":"void deleteAll();","title":""},{"docid":"3b2e57ff7bb78b3275c34bca9869db4d","score":"0.7183492","text":"void deleteAll();","title":""},{"docid":"3b2e57ff7bb78b3275c34bca9869db4d","score":"0.7183492","text":"void deleteAll();","title":""},{"docid":"3b2e57ff7bb78b3275c34bca9869db4d","score":"0.7183492","text":"void deleteAll();","title":""},{"docid":"665e3817fc0b765341403eb43b0fea12","score":"0.7116128","text":"public void deleteAll() {\n\t\t\r\n\t}","title":""},{"docid":"f7774f49d3cad157cb47143d35b7a87e","score":"0.70651746","text":"public void deleteAll(){\n realmDb.executeTransactionAsync(new Realm.Transaction() {\n @Override\n public void execute(Realm realm) {\n realm.deleteAll();\n }\n });\n }","title":""},{"docid":"658e6f868257faaac07cb2d3607b449e","score":"0.7042315","text":"public int deleteAll();","title":""},{"docid":"69e84aea4aeefb9d289e497b1c3329e4","score":"0.7025289","text":"@Override\n\tpublic void deleteAll() {\n\t\t\n\t}","title":""},{"docid":"69e84aea4aeefb9d289e497b1c3329e4","score":"0.7025289","text":"@Override\n\tpublic void deleteAll() {\n\t\t\n\t}","title":""},{"docid":"69e84aea4aeefb9d289e497b1c3329e4","score":"0.7025289","text":"@Override\n\tpublic void deleteAll() {\n\t\t\n\t}","title":""},{"docid":"69e84aea4aeefb9d289e497b1c3329e4","score":"0.7025289","text":"@Override\n\tpublic void deleteAll() {\n\t\t\n\t}","title":""},{"docid":"69e84aea4aeefb9d289e497b1c3329e4","score":"0.7025289","text":"@Override\n\tpublic void deleteAll() {\n\t\t\n\t}","title":""},{"docid":"69e84aea4aeefb9d289e497b1c3329e4","score":"0.7025289","text":"@Override\n\tpublic void deleteAll() {\n\t\t\n\t}","title":""},{"docid":"69e84aea4aeefb9d289e497b1c3329e4","score":"0.7025289","text":"@Override\n\tpublic void deleteAll() {\n\t\t\n\t}","title":""},{"docid":"69e84aea4aeefb9d289e497b1c3329e4","score":"0.7025289","text":"@Override\n\tpublic void deleteAll() {\n\t\t\n\t}","title":""},{"docid":"69e84aea4aeefb9d289e497b1c3329e4","score":"0.7025289","text":"@Override\n\tpublic void deleteAll() {\n\t\t\n\t}","title":""},{"docid":"69e84aea4aeefb9d289e497b1c3329e4","score":"0.7025289","text":"@Override\n\tpublic void deleteAll() {\n\t\t\n\t}","title":""},{"docid":"50394351708c0455050a50a3efe8f7a4","score":"0.6987921","text":"@Override\r\n\tpublic void deleteAll() {\n\t\t\r\n\t}","title":""},{"docid":"c0042004a847c5c352cfeb4eddae2517","score":"0.69781244","text":"@Override\n\tpublic void deleteAll() {\n\n\t}","title":""},{"docid":"ed781d996865e201c37e8a6ae1eec262","score":"0.6971866","text":"public void deleteAll() {\n\n }","title":""},{"docid":"532a08aa0f38b4b0531a7ab243a058fe","score":"0.69339436","text":"public static Result deleteAll() {\n int databaseSize = KnihaDAOImpl.find.all().size();\n for (int i = 1; i < databaseSize + 1; i++) {\n KnihaDAOImpl.find.all().get(0).delete();\n }\n return GO_HOME();\n }","title":""},{"docid":"43a95ffca1d4bf699334e56865c95c2d","score":"0.6908436","text":"public void deleteAll() {\n mRepository.deleteAll();\n }","title":""},{"docid":"a6431cd137b5a499c362c3bf8b0125a7","score":"0.6908295","text":"void deleteAllAccounts();","title":""},{"docid":"9eab095afe02d4499d4fb943b81cf8a5","score":"0.68831486","text":"boolean deleteAll();","title":""},{"docid":"9eab095afe02d4499d4fb943b81cf8a5","score":"0.68831486","text":"boolean deleteAll();","title":""},{"docid":"117a913e29c7db5e307219a76433866a","score":"0.68643665","text":"@Override\n public void deleteAll() {\n stateRecordsDataService.deleteAll();\n }","title":""},{"docid":"9accd469c8569c12a69e33dd8e059cda","score":"0.6849179","text":"public void deleteAll() {\n\t\tSession session = HUtils.getSessionFactory().getCurrentSession() ;\n\t\tTransaction tx = null;\n\t\ttry {\n\t\t tx = session.beginTransaction();\n\t\t Query query = session.createQuery(\"DELETE FROM Partner \");\n\t\t query.executeUpdate();\n\n\t\t tx.commit();\n\t\t}\n\t\tcatch (Exception ex) {\n\t\t if (tx!=null) tx.rollback();\n\t\t ex.printStackTrace();\n\t\t}\n\t\tLogger.print(\"<Partner>Successfully deleted all records.\");\n\t}","title":""},{"docid":"50c2d362074cf390a2542c6ed6936775","score":"0.68379754","text":"@RequestMapping(method = RequestMethod.POST, path = \"/owners/deleteall\")\n\tpublic void deleteAll() {\n\t\tservice.deleteAll();\n\t}","title":""},{"docid":"44ff1dbe28b5209bfcb48fc31ae24e55","score":"0.6745173","text":"public void deleteAll() {\n Cursor c = getAllRows();\n long rowId = c.getColumnIndexOrThrow(CN_ID);\n if (c.moveToFirst()) {\n do {\n deleteRow(c.getLong((int) rowId));\n } while (c.moveToNext());\n }\n c.close();\n }","title":""},{"docid":"78a4e8fa099591b80f328e4ee1583905","score":"0.6740771","text":"@Query(\"DELETE FROM users\")\n void deleteAll();","title":""},{"docid":"452f5cb6e296cbd40d8556f26a690b4d","score":"0.672015","text":"@Override\n\tpublic void deleteAllInBatch(Iterable<Customer> entities) {\n\t\t\n\t}","title":""},{"docid":"42a476c3e90829aada9dbbe863aea530","score":"0.66817135","text":"@Override\n public void deleteAll() {\n this.repository.deleteAll();\n }","title":""},{"docid":"7afeaa811181cd66eaf225bfb05f0129","score":"0.6677972","text":"void deleteAll() {\n }","title":""},{"docid":"271c81171a5cb53671b4753ab4b86217","score":"0.663697","text":"@Override\n public void deleteAllUsers() {\n userRepository.deleteAll();\n }","title":""},{"docid":"496d40fe29419955545e7b9e1a7951cf","score":"0.6611519","text":"public int deleteAll() throws SQLException {\n return deleteByWhere(\"\");\n }","title":""},{"docid":"6028a4ed053729fd76c807639f95d296","score":"0.66063714","text":"@Override\n\tpublic abstract long deleteAll();","title":""},{"docid":"da7cd62bf1eb27790148994d428711a0","score":"0.6596941","text":"public int deleteAll() throws SQLException\n {\n return deleteByWhere(\"\");\n }","title":""},{"docid":"ff7fa70e822f043c0e3fd12c9af1e473","score":"0.6575841","text":"public void deleteAll() throws LiteDatabaseException {\n delete(null, null);\n }","title":""},{"docid":"8390b7df16700c473f5fc7e24627208d","score":"0.6545115","text":"public void deleteAllUsers() {\n try {\n Statement statement = conn.createStatement();\n statement.executeUpdate(\"delete * from users;\");\n } catch (SQLException e) {\n log.severe(\"Error in deleteAllUsers:\\n\" + e.getStackTrace());\n }\n }","title":""},{"docid":"c79289a59654a8adaee27dd2db92328b","score":"0.65281403","text":"@Override\n @RestResource(exported = false)\n void deleteAll();","title":""},{"docid":"0966085ec7ebd0524d36de2a6a233eeb","score":"0.6514631","text":"@Override\n\tpublic int deleteAll() {\n\t\treturn SDeviceapplicationsdao.executeHql(\"delete from \"+tablename);\n\t}","title":""},{"docid":"07c6f73d0d5eb9e26f06734021fa0783","score":"0.64907503","text":"public void deleteAllRecords() {\n\t\tdeleteAllRecordsFromProvider();\n\t}","title":""},{"docid":"798d35741771bd6385b3bca098a5bb84","score":"0.6490345","text":"@POST\n @Path(\"/deleteAll/\")\n public WSResponse deleteAll() {\n playerDao.removeAll();\n return new WSResponse(true);\n }","title":""},{"docid":"b1f3a1d3c863cc6a42e0cf9db51539a7","score":"0.6470892","text":"public int deleteAll(){\n\t\ttry {\n\t\t\treturn (int)sqlMapClient.delete(nameSpace +\".deleteAll\");\n\t\t} catch (SQLException e) {\n\t\t\te.printStackTrace();\n\t\t\tthrow new YbkException(YbkException.CODE000020, YbkException.DESC000020);\n\t\t}\n\t}","title":""},{"docid":"017393a2eedc0677646adbca26f9aa72","score":"0.64416206","text":"public abstract boolean deleteAll();","title":""},{"docid":"ed4416ec0a9aa14ec59b3a51529a59d4","score":"0.6414509","text":"public void deleteAll() throws SQLException {\n stockDAO.deleteAll();\n }","title":""},{"docid":"40109cf1462aee93ecf6e94e4a43866c","score":"0.64083606","text":"@DeleteMapping\n public void deleteAll(){ this.storeService.deleteAll(); }","title":""},{"docid":"134be25d2422522298b66a554242f0a4","score":"0.6391795","text":"public void deleteAll() {\n\t\t\n\t\tfor (String key : collection.keySet()) {\n\t\t\tdeleteObject(key.toString());\n\t\t}\n\t}","title":""},{"docid":"bd0995c020f11ae9e4f2781787a9bb47","score":"0.6377302","text":"public int deleteAll() {\n\t\treturn daoRegraTributacao.deleteAll();\n\t}","title":""},{"docid":"0840c99e502170a0d9203f4be9e9411b","score":"0.63707983","text":"@Override\n\tpublic void deleteAll() {\n\t\tpersist( ta -> {\n\t\t\tta.prepare( this.list );\n\t\t\tta.deleteAll();\n\t\t\tlist.clear();\n\t\t\tta.commit();\n\n\t\t}, () -> {\n\t\t\tlist.clear();\n\t\t});\n\t\tlog.info( \"==> cleared(\" + this.getClass().getSimpleName() + \")\" );\n\t}","title":""},{"docid":"fcc9524ae01ffd44f112007bf52fce1b","score":"0.63610744","text":"@Override\n\tpublic void deleteAll() {\n\t\tsupplierRepository.deleteAll();\n\t\t\n\t}","title":""},{"docid":"bd2d783a6af75df413dc7cd96664c1a7","score":"0.634359","text":"@Override\n\tpublic void deleteAllInBatch() {\n\t\t\n\t}","title":""},{"docid":"bd2d783a6af75df413dc7cd96664c1a7","score":"0.634359","text":"@Override\n\tpublic void deleteAllInBatch() {\n\t\t\n\t}","title":""},{"docid":"bd2d783a6af75df413dc7cd96664c1a7","score":"0.634359","text":"@Override\n\tpublic void deleteAllInBatch() {\n\t\t\n\t}","title":""},{"docid":"bd2d783a6af75df413dc7cd96664c1a7","score":"0.634359","text":"@Override\n\tpublic void deleteAllInBatch() {\n\t\t\n\t}","title":""},{"docid":"ee15bffe025aa79ab24a199fab75bfed","score":"0.6342962","text":"public void deleteAll() throws DAOException {\n\t\tConnection connec = null;\n\t\tdriverIdentify();\n\t\ttry { // Conexion db\n\t\t\tconnec = DriverManager.getConnection(connectionChain); // Datos de acceso a la db: user//manager pw//manager-if\n\t\t} catch (SQLException e) {\n\t\t\tthrow new DAOException(\"ERROR: acceso a la conexion para 'deleteAll' no logrado\\n\");\n\t\t}\n\n\n\t\ttry { // Tratamiento db\n\t\t\tPreparedStatement ps = connec.prepareStatement(\"SET FOREIGN_KEY_CHECKS = 0\");\n\t\t\tps.execute();\n\t\t\tps.close();\n\t\t\tps = connec.prepareStatement(\"TRUNCATE TABLE stand\");\n\t\t\tps.execute();\n\t\t\tps.close();\n\t\t\tps = connec.prepareStatement(\"SET FOREIGN_KEY_CHECKS = 1\");\n\t\t\tps.execute();\n\t\t\tps.close();\n\t\t}\n\t\tcatch (SQLException e){\n\t\t\tthrow new DAOException(\"ERROR: deleteAll Tstand no logrado\\n\");\n\t\t}\n\t\tfinally {\n\t\t\ttry { // Desconexion db\n\t\t\t\tconnec.close();\n\t\t\t} catch (SQLException e) {\n\t\t\t\tthrow new DAOException(\"ERROR: cerrando conexion a DB para 'deleteAll' no logrado\\n\");\n\t\t\t}\n\t\t}\n\t}","title":""},{"docid":"e4c09450c4f4699208a6255e46a219bb","score":"0.6323055","text":"void deleteAll() throws RuntimeException;","title":""},{"docid":"45b0509c33b7c93a018d53db5eda6909","score":"0.6307566","text":"@GetMapping(path=\"/deleteAll\")\n\tpublic @ResponseBody void deleteAllNodes() {\n\t\tnodeRepository.deleteAll();\n\t}","title":""},{"docid":"9f6612b882089872ce314411a7a9d9bd","score":"0.6294605","text":"public int deleteAll() {\n\t\treturn getWritableDb().delete(th.getTableName(), null, null);\n\t}","title":""},{"docid":"485cec55e47e9950d4126d32b5539e29","score":"0.62544185","text":"@Override \n public boolean deleteAll() {\n em.createNamedQuery(\"Commande.deleteAll\").executeUpdate();\n return true;\n }","title":""},{"docid":"8ff9c5014c4a9fcdaa785220d54661d8","score":"0.6249694","text":"void deleteAll(Collection objects);","title":""},{"docid":"e7d7ad395168f48ec02aa0238f4cec54","score":"0.6231827","text":"void deleteAll(Connection conn) throws SQLException;","title":""},{"docid":"8e0fe7efb226aa9eefdbf8f049d4e5fc","score":"0.62265235","text":"boolean deleteAll(int userId);","title":""},{"docid":"8e0fe7efb226aa9eefdbf8f049d4e5fc","score":"0.62265235","text":"boolean deleteAll(int userId);","title":""},{"docid":"c45ec0420cf833f1a9808c23258d5395","score":"0.6210671","text":"@Transactional\n\t@Override\n\tpublic void deleteAll() throws Exception {\n\t\tdiegoNoblecillaRepository.deleteAll();\n\t}","title":""},{"docid":"896cb49b1e8ae00167a88714cd92308b","score":"0.62065715","text":"public void deleteAllEmployees();","title":""},{"docid":"4bf573a5605578f51521bf0b2d572ce2","score":"0.62011784","text":"public void deleteAllRecords() {\r\n // TODO Auto-generated method stub\r\n\r\n// SQLiteDatabase db = this.getWritableDatabase();\r\n// // db.execSQL(\"delete from \"+ this.tblUsers);\r\n// db.delete(this.tblUsers, null, null);\r\n// db.close();\r\n\r\n\t\t/*\r\n * or, if you want the function to return the count of deleted rows,\r\n\t\t * \r\n\t\t * db.delete(TABLE_NAME, \"1\", null); From the documentation of\r\n\t\t * SQLiteDatabase delete method:\r\n\t\t * \r\n\t\t * To remove all rows and get a count pass \"1\" as the whereClause.\r\n\t\t */\r\n\r\n }","title":""},{"docid":"006d056afad0f3f29daa2c17db5bb790","score":"0.6189124","text":"public void deleteAll() {\n\t\tSystem.out.println(\"MySQL 디비 다 지워\");\n\t}","title":""},{"docid":"575292bdc970d9e477fe382169cd0e4d","score":"0.6187319","text":"@Query(\"DELETE FROM data\")\n void delete_all();","title":""},{"docid":"12bcbf29fcf4a147119c32f933ca85c9","score":"0.6146678","text":"public void deleteAllData() throws Exception;","title":""},{"docid":"795fa392042382d95b83af7661e0ab82","score":"0.6139391","text":"@Override\n\tpublic void deleteAll(String province) {\n\t\t\n\t}","title":""},{"docid":"bb06560ee52670fc2861a9ad7a904ce9","score":"0.61270255","text":"CompletableFuture<Void> deleteAll();","title":""},{"docid":"32146df623d78874b1ceabbdf3c66926","score":"0.6124535","text":"public void deleteAllVendors() {\n\t\tvendorDao.deleteAllVendors();\n\t}","title":""},{"docid":"38cdf1cacf9f09483c886a97199e85bc","score":"0.6091442","text":"public void deleteCustomers(){\n sqLiteDatabase.execSQL(\"DELETE FROM \" + SqlHelper.TABLE_CUSTOMERS);\n }","title":""},{"docid":"8b92b58459eefbcb2ed32aa6605998d4","score":"0.6088489","text":"private void deleteAllProducts() {\n int rowsDeleted = getContentResolver().delete(ProductContract.ProductEntry.CONTENT_URI, null, null);\n Log.v(\"CatalogActivity\", rowsDeleted + \" rows deleted from products database\");\n }","title":""},{"docid":"d94324fc4a0162844865d00388d28bd7","score":"0.6076998","text":"public void deleteAllAddress(){\n try { \r\n String query=\"delete from ADDRESSES\"; //delete from ADDRESS deletes all of the data in the sql table\r\n preparedstatement=connection.prepareStatement(query);\r\n // preparedstatement.setInt(1,id); //we dont need this statement if we are deleting everything once again \r\n preparedstatement.executeUpdate();\r\n \r\n } catch (SQLException ex) {\r\n Logger.getLogger(AddressOptions.class.getName()).log(Level.SEVERE,null,ex);\r\n }\r\n \r\n }","title":""},{"docid":"8b2027d4195014ef900a2de808938bef","score":"0.60760254","text":"@Override\n\tpublic void deleteAll(Iterable<? extends Oferta> entities) {\n\t\t\n\t}","title":""},{"docid":"6db19f2b0e248daf264d83629ee59527","score":"0.60720056","text":"public void deleteAll()\r\n\t{\r\n\t\tRuntimeExceptionDao<Image, String> dao = getSimpleDataDao();\r\n\t\tList<Image> list = dao.queryForAll();\r\n\t\tdao.delete(list);\r\n\t}","title":""},{"docid":"c1c36894de745b8e272af893c196c753","score":"0.6071355","text":"@Override\n\tpublic void deleteAllInBatch() {\n\t\townerRepo.deleteAllInBatch();\n\t}","title":""},{"docid":"13b74df8dba81a0cd9d918d897410d0c","score":"0.60648537","text":"@Override\n\tpublic void deleteAll() {\n\t\townerRepo.deleteAll();\n\t}","title":""},{"docid":"8504081b12ddc9123fc9155abb51370c","score":"0.6050909","text":"@Override\n public void deleteAll() {\n this.settingsManagerDao.deleteAll();\n }","title":""},{"docid":"0332dba86038a6fc78ea7b6cf343cb3a","score":"0.6041659","text":"public static void removeAllCustomers() {\r\n\tString query1 = \"SELECT invoiceID FROM Invoice\";\r\n\tConnection conn = DatabaseInfo.getConnection();\r\n\r\n\ttry {\r\n\tPreparedStatement ps1 = conn.prepareStatement(query1);\r\n\tResultSet rs1 = ps1.executeQuery();\r\n\tint invoiceID = 0;\r\n\r\n\t// This loop deletes the invoiceID foreign key from ProductListInvoices\r\n\r\n\twhile (rs1.next()) {\r\n\tinvoiceID = rs1.getInt(\"invoiceID\");\r\n\r\n\tString query2 = \"DELETE FROM ProductListInvoices WHERE invoiceID = ?\";\r\n\tPreparedStatement ps2 = conn.prepareStatement(query2);\r\n\tps2.setInt(1, invoiceID);\r\n\tps2.executeUpdate();\r\n\tps2.close();\r\n\t}\r\n\tps1.close();\r\n\trs1.close();\r\n\t\r\n\r\n\tString query = \"SELECT customerID FROM Customers\";\r\n\tPreparedStatement ps = conn.prepareStatement(query);\r\n\tResultSet rs = ps.executeQuery();\r\n\tint customerID = 0;\r\n\t// This loop deletes the Invoice that has a certain CustomerID\r\n\t// foreign key\r\n\twhile (rs.next()) {\r\n\tcustomerID = rs.getInt(\"customerID\");\r\n\t\r\n\r\n\tString query4 = \"DELETE FROM Invoice WHERE customerID = ?\";\r\n\tPreparedStatement ps4 = conn.prepareStatement(query4);\r\n\tps4.setInt(1, customerID);\r\n\tps4.executeUpdate();\r\n\t\r\n\tString query5 = \"DELETE FROM Address WHERE customerID = ?\";\r\n\tPreparedStatement ps5 = conn.prepareStatement(query5);\r\n\tps5.setInt(1, customerID);\r\n\tps5.executeUpdate();\r\n\t\r\n\t\r\n\tps4.close();\r\n\tps5.close();\r\n\t\r\n\t}\r\n\trs.close();\r\n\tps.close();\r\n\t// Finally deletes all Customer\r\n\tString query6 = \"DELETE FROM Customers\";\r\n\tPreparedStatement ps6 = conn.prepareStatement(query6);\r\n\tps6.executeUpdate();\r\n\tps6.close();\r\n\t\r\n\t\r\n\tconn.close();\r\n\t} catch (SQLException e) {\r\n\tSystem.out.println(\"SQLException: \");\r\n\te.printStackTrace();\r\n\tthrow new RuntimeException(e);\r\n\t}\r\n\t\r\n\t\r\n\t\r\n\t}","title":""},{"docid":"de0bf80f1aa73010ae253b5147003d54","score":"0.60207987","text":"@Override\n\tpublic void deleteAll(List<KeepAlive> keepAlive) {\n\t\tkeepAliveDao.deleteAll(keepAlive);\n\t}","title":""},{"docid":"da72b73d1ae7a12d7f909f006c6743c0","score":"0.601981","text":"@Override\n public void deleteAllDeviceLogs() {\n initializeDatabase();\n\n DeviceLogTable.deleteAllDeviceLogs(database);\n }","title":""},{"docid":"5b2cd60c75e733a34e0239566c4290b2","score":"0.60124654","text":"public void deleteAll() {\n if (LOGGER.isDebugEnabled()) {\n LOGGER.debug(\"XXXX delete all webengine cache()\");\n }\n\n synchronized (synchroDelete) {\n final CacheProvider<CacheManager> cacheProvider = EhCacheServices.getInstance().getCacheProvider();\n final Cache cache = cacheProvider.getDelegate().getCache(\n region.regionName());\n cache.removeAll();\n }\n }","title":""},{"docid":"67ea73528fa9e2ba156ce418acded49a","score":"0.60074294","text":"@Override\n @RestResource(exported = false)\n void deleteAll(Iterable<? extends Company> company);","title":""},{"docid":"3a65d2c86fc80221460d0a7068eebdb4","score":"0.60021067","text":"public void deleteAllObjects() {\r\n\t\tEventManager.getInstance().deleteAllObjects();\r\n\t\tIssuerEvent.getInstance().deleteAllMessages();\r\n\t}","title":""},{"docid":"158f2de32b7e7e4fc63ad069fe09e777","score":"0.6001794","text":"public void deleteAll(){\n getWriteDB().execSQL(\"delete from \"+ mHelper.TABLE_NAME);\n getWriteDB().close();\n }","title":""},{"docid":"612389ff3d17c7fcc0f7304f373f6780","score":"0.59718335","text":"@Override\n\tpublic void deleteAll(List<?> list) {\n\n\t}","title":""},{"docid":"6f0300d6fc6b776dbd39c9adb9159cfd","score":"0.5971092","text":"@Override\n\tpublic void deleteInBatch(Iterable<Customers> entities) {\n\t\t\n\t}","title":""},{"docid":"2ad95c148b5548563cf39f68506e03d7","score":"0.596021","text":"@Query(\"DELETE FROM notes\")\n int deleteAll();","title":""},{"docid":"65c56cce64bc96d5ed44bfcce76e8c8c","score":"0.5956146","text":"public void clearAll() {\n realm.beginTransaction();\n// realm.clear(NumberBundling.class);\n realm.commitTransaction();\n }","title":""}],"string":"[\n {\n \"docid\": \"ecf73803d7b5b2d222c0c73bcd528fac\",\n \"score\": \"0.7861064\",\n \"text\": \"@DeleteMapping(\\\"/Customers\\\")\\n\\tpublic String deleteAll() {\\n\\t\\tlog.debug(\\\"All Customers are Deleted Successfully\\\");\\n\\t\\tcustomServiveImpl.deleteAllCustomers();\\n\\t\\treturn \\\"All employee records deleted.\\\";\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7fcb8da989051d78be26d6c8ab82048c\",\n \"score\": \"0.7562245\",\n \"text\": \"public void deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c583149adf5c9f271050a1a6c5668151\",\n \"score\": \"0.74075454\",\n \"text\": \"public void deleteAll() throws DaoException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d28ed4edf0c1d64093ca72e52c6ac1fb\",\n \"score\": \"0.73210126\",\n \"text\": \"public void deleteAll(){\\n\\t\\t\\n\\t\\tContactMapper.contactMapper().deleteAllContacts();\\n\\t\\tContactListMapper.contactListMapper().deleteAllContactLists();\\n\\t\\t\\n\\t\\tConnection con = DBConnection.connection();\\n\\t\\ttry{\\n\\t\\t\\tStatement stmt = con.createStatement();\\n\\t\\t\\tstmt.executeUpdate(\\\"DELETE FROM User\\\");\\n\\t\\t}catch(SQLException e){\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dc7c92fb7f08f9f9106c75c28e9ea0f4\",\n \"score\": \"0.727007\",\n \"text\": \"public void DeleteAll()\\n\\t{\\n\\t\\ttry{\\n\\t\\t\\tstatement = db.createStatement(DELETE_ALL_QUERY);\\n\\t\\t\\tstatement.prepare();\\n\\t\\t\\tstatement.execute();\\n\\t\\t\\tstatement.close();\\n\\t\\t} catch(DatabaseException e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6849a9a3b779c1a40a543cd7b1119df6\",\n \"score\": \"0.722306\",\n \"text\": \"@Override\\n\\tpublic void deleteAll(Iterable<? extends Customer> entities) {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d23a9d64b5df8535d12c4f749d0ccca8\",\n \"score\": \"0.720213\",\n \"text\": \"@Transactional(propagation = Propagation.MANDATORY)\\n public void deleteAll() {\\n getJdbcTemplate().update(deleteAllQuery);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b2e57ff7bb78b3275c34bca9869db4d\",\n \"score\": \"0.7183492\",\n \"text\": \"void deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b2e57ff7bb78b3275c34bca9869db4d\",\n \"score\": \"0.7183492\",\n \"text\": \"void deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b2e57ff7bb78b3275c34bca9869db4d\",\n \"score\": \"0.7183492\",\n \"text\": \"void deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b2e57ff7bb78b3275c34bca9869db4d\",\n \"score\": \"0.7183492\",\n \"text\": \"void deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b2e57ff7bb78b3275c34bca9869db4d\",\n \"score\": \"0.7183492\",\n \"text\": \"void deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"665e3817fc0b765341403eb43b0fea12\",\n \"score\": \"0.7116128\",\n \"text\": \"public void deleteAll() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f7774f49d3cad157cb47143d35b7a87e\",\n \"score\": \"0.70651746\",\n \"text\": \"public void deleteAll(){\\n realmDb.executeTransactionAsync(new Realm.Transaction() {\\n @Override\\n public void execute(Realm realm) {\\n realm.deleteAll();\\n }\\n });\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"658e6f868257faaac07cb2d3607b449e\",\n \"score\": \"0.7042315\",\n \"text\": \"public int deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69e84aea4aeefb9d289e497b1c3329e4\",\n \"score\": \"0.7025289\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69e84aea4aeefb9d289e497b1c3329e4\",\n \"score\": \"0.7025289\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69e84aea4aeefb9d289e497b1c3329e4\",\n \"score\": \"0.7025289\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69e84aea4aeefb9d289e497b1c3329e4\",\n \"score\": \"0.7025289\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69e84aea4aeefb9d289e497b1c3329e4\",\n \"score\": \"0.7025289\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69e84aea4aeefb9d289e497b1c3329e4\",\n \"score\": \"0.7025289\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69e84aea4aeefb9d289e497b1c3329e4\",\n \"score\": \"0.7025289\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69e84aea4aeefb9d289e497b1c3329e4\",\n \"score\": \"0.7025289\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69e84aea4aeefb9d289e497b1c3329e4\",\n \"score\": \"0.7025289\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69e84aea4aeefb9d289e497b1c3329e4\",\n \"score\": \"0.7025289\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"50394351708c0455050a50a3efe8f7a4\",\n \"score\": \"0.6987921\",\n \"text\": \"@Override\\r\\n\\tpublic void deleteAll() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c0042004a847c5c352cfeb4eddae2517\",\n \"score\": \"0.69781244\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed781d996865e201c37e8a6ae1eec262\",\n \"score\": \"0.6971866\",\n \"text\": \"public void deleteAll() {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"532a08aa0f38b4b0531a7ab243a058fe\",\n \"score\": \"0.69339436\",\n \"text\": \"public static Result deleteAll() {\\n int databaseSize = KnihaDAOImpl.find.all().size();\\n for (int i = 1; i < databaseSize + 1; i++) {\\n KnihaDAOImpl.find.all().get(0).delete();\\n }\\n return GO_HOME();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"43a95ffca1d4bf699334e56865c95c2d\",\n \"score\": \"0.6908436\",\n \"text\": \"public void deleteAll() {\\n mRepository.deleteAll();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a6431cd137b5a499c362c3bf8b0125a7\",\n \"score\": \"0.6908295\",\n \"text\": \"void deleteAllAccounts();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9eab095afe02d4499d4fb943b81cf8a5\",\n \"score\": \"0.68831486\",\n \"text\": \"boolean deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9eab095afe02d4499d4fb943b81cf8a5\",\n \"score\": \"0.68831486\",\n \"text\": \"boolean deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"117a913e29c7db5e307219a76433866a\",\n \"score\": \"0.68643665\",\n \"text\": \"@Override\\n public void deleteAll() {\\n stateRecordsDataService.deleteAll();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9accd469c8569c12a69e33dd8e059cda\",\n \"score\": \"0.6849179\",\n \"text\": \"public void deleteAll() {\\n\\t\\tSession session = HUtils.getSessionFactory().getCurrentSession() ;\\n\\t\\tTransaction tx = null;\\n\\t\\ttry {\\n\\t\\t tx = session.beginTransaction();\\n\\t\\t Query query = session.createQuery(\\\"DELETE FROM Partner \\\");\\n\\t\\t query.executeUpdate();\\n\\n\\t\\t tx.commit();\\n\\t\\t}\\n\\t\\tcatch (Exception ex) {\\n\\t\\t if (tx!=null) tx.rollback();\\n\\t\\t ex.printStackTrace();\\n\\t\\t}\\n\\t\\tLogger.print(\\\"<Partner>Successfully deleted all records.\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"50c2d362074cf390a2542c6ed6936775\",\n \"score\": \"0.68379754\",\n \"text\": \"@RequestMapping(method = RequestMethod.POST, path = \\\"/owners/deleteall\\\")\\n\\tpublic void deleteAll() {\\n\\t\\tservice.deleteAll();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"44ff1dbe28b5209bfcb48fc31ae24e55\",\n \"score\": \"0.6745173\",\n \"text\": \"public void deleteAll() {\\n Cursor c = getAllRows();\\n long rowId = c.getColumnIndexOrThrow(CN_ID);\\n if (c.moveToFirst()) {\\n do {\\n deleteRow(c.getLong((int) rowId));\\n } while (c.moveToNext());\\n }\\n c.close();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78a4e8fa099591b80f328e4ee1583905\",\n \"score\": \"0.6740771\",\n \"text\": \"@Query(\\\"DELETE FROM users\\\")\\n void deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"452f5cb6e296cbd40d8556f26a690b4d\",\n \"score\": \"0.672015\",\n \"text\": \"@Override\\n\\tpublic void deleteAllInBatch(Iterable<Customer> entities) {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"42a476c3e90829aada9dbbe863aea530\",\n \"score\": \"0.66817135\",\n \"text\": \"@Override\\n public void deleteAll() {\\n this.repository.deleteAll();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7afeaa811181cd66eaf225bfb05f0129\",\n \"score\": \"0.6677972\",\n \"text\": \"void deleteAll() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"271c81171a5cb53671b4753ab4b86217\",\n \"score\": \"0.663697\",\n \"text\": \"@Override\\n public void deleteAllUsers() {\\n userRepository.deleteAll();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"496d40fe29419955545e7b9e1a7951cf\",\n \"score\": \"0.6611519\",\n \"text\": \"public int deleteAll() throws SQLException {\\n return deleteByWhere(\\\"\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6028a4ed053729fd76c807639f95d296\",\n \"score\": \"0.66063714\",\n \"text\": \"@Override\\n\\tpublic abstract long deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"da7cd62bf1eb27790148994d428711a0\",\n \"score\": \"0.6596941\",\n \"text\": \"public int deleteAll() throws SQLException\\n {\\n return deleteByWhere(\\\"\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff7fa70e822f043c0e3fd12c9af1e473\",\n \"score\": \"0.6575841\",\n \"text\": \"public void deleteAll() throws LiteDatabaseException {\\n delete(null, null);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8390b7df16700c473f5fc7e24627208d\",\n \"score\": \"0.6545115\",\n \"text\": \"public void deleteAllUsers() {\\n try {\\n Statement statement = conn.createStatement();\\n statement.executeUpdate(\\\"delete * from users;\\\");\\n } catch (SQLException e) {\\n log.severe(\\\"Error in deleteAllUsers:\\\\n\\\" + e.getStackTrace());\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c79289a59654a8adaee27dd2db92328b\",\n \"score\": \"0.65281403\",\n \"text\": \"@Override\\n @RestResource(exported = false)\\n void deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0966085ec7ebd0524d36de2a6a233eeb\",\n \"score\": \"0.6514631\",\n \"text\": \"@Override\\n\\tpublic int deleteAll() {\\n\\t\\treturn SDeviceapplicationsdao.executeHql(\\\"delete from \\\"+tablename);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"07c6f73d0d5eb9e26f06734021fa0783\",\n \"score\": \"0.64907503\",\n \"text\": \"public void deleteAllRecords() {\\n\\t\\tdeleteAllRecordsFromProvider();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"798d35741771bd6385b3bca098a5bb84\",\n \"score\": \"0.6490345\",\n \"text\": \"@POST\\n @Path(\\\"/deleteAll/\\\")\\n public WSResponse deleteAll() {\\n playerDao.removeAll();\\n return new WSResponse(true);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b1f3a1d3c863cc6a42e0cf9db51539a7\",\n \"score\": \"0.6470892\",\n \"text\": \"public int deleteAll(){\\n\\t\\ttry {\\n\\t\\t\\treturn (int)sqlMapClient.delete(nameSpace +\\\".deleteAll\\\");\\n\\t\\t} catch (SQLException e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t\\tthrow new YbkException(YbkException.CODE000020, YbkException.DESC000020);\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"017393a2eedc0677646adbca26f9aa72\",\n \"score\": \"0.64416206\",\n \"text\": \"public abstract boolean deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed4416ec0a9aa14ec59b3a51529a59d4\",\n \"score\": \"0.6414509\",\n \"text\": \"public void deleteAll() throws SQLException {\\n stockDAO.deleteAll();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"40109cf1462aee93ecf6e94e4a43866c\",\n \"score\": \"0.64083606\",\n \"text\": \"@DeleteMapping\\n public void deleteAll(){ this.storeService.deleteAll(); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"134be25d2422522298b66a554242f0a4\",\n \"score\": \"0.6391795\",\n \"text\": \"public void deleteAll() {\\n\\t\\t\\n\\t\\tfor (String key : collection.keySet()) {\\n\\t\\t\\tdeleteObject(key.toString());\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd0995c020f11ae9e4f2781787a9bb47\",\n \"score\": \"0.6377302\",\n \"text\": \"public int deleteAll() {\\n\\t\\treturn daoRegraTributacao.deleteAll();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0840c99e502170a0d9203f4be9e9411b\",\n \"score\": \"0.63707983\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\t\\tpersist( ta -> {\\n\\t\\t\\tta.prepare( this.list );\\n\\t\\t\\tta.deleteAll();\\n\\t\\t\\tlist.clear();\\n\\t\\t\\tta.commit();\\n\\n\\t\\t}, () -> {\\n\\t\\t\\tlist.clear();\\n\\t\\t});\\n\\t\\tlog.info( \\\"==> cleared(\\\" + this.getClass().getSimpleName() + \\\")\\\" );\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fcc9524ae01ffd44f112007bf52fce1b\",\n \"score\": \"0.63610744\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\t\\tsupplierRepository.deleteAll();\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd2d783a6af75df413dc7cd96664c1a7\",\n \"score\": \"0.634359\",\n \"text\": \"@Override\\n\\tpublic void deleteAllInBatch() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd2d783a6af75df413dc7cd96664c1a7\",\n \"score\": \"0.634359\",\n \"text\": \"@Override\\n\\tpublic void deleteAllInBatch() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd2d783a6af75df413dc7cd96664c1a7\",\n \"score\": \"0.634359\",\n \"text\": \"@Override\\n\\tpublic void deleteAllInBatch() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd2d783a6af75df413dc7cd96664c1a7\",\n \"score\": \"0.634359\",\n \"text\": \"@Override\\n\\tpublic void deleteAllInBatch() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ee15bffe025aa79ab24a199fab75bfed\",\n \"score\": \"0.6342962\",\n \"text\": \"public void deleteAll() throws DAOException {\\n\\t\\tConnection connec = null;\\n\\t\\tdriverIdentify();\\n\\t\\ttry { // Conexion db\\n\\t\\t\\tconnec = DriverManager.getConnection(connectionChain); // Datos de acceso a la db: user//manager pw//manager-if\\n\\t\\t} catch (SQLException e) {\\n\\t\\t\\tthrow new DAOException(\\\"ERROR: acceso a la conexion para 'deleteAll' no logrado\\\\n\\\");\\n\\t\\t}\\n\\n\\n\\t\\ttry { // Tratamiento db\\n\\t\\t\\tPreparedStatement ps = connec.prepareStatement(\\\"SET FOREIGN_KEY_CHECKS = 0\\\");\\n\\t\\t\\tps.execute();\\n\\t\\t\\tps.close();\\n\\t\\t\\tps = connec.prepareStatement(\\\"TRUNCATE TABLE stand\\\");\\n\\t\\t\\tps.execute();\\n\\t\\t\\tps.close();\\n\\t\\t\\tps = connec.prepareStatement(\\\"SET FOREIGN_KEY_CHECKS = 1\\\");\\n\\t\\t\\tps.execute();\\n\\t\\t\\tps.close();\\n\\t\\t}\\n\\t\\tcatch (SQLException e){\\n\\t\\t\\tthrow new DAOException(\\\"ERROR: deleteAll Tstand no logrado\\\\n\\\");\\n\\t\\t}\\n\\t\\tfinally {\\n\\t\\t\\ttry { // Desconexion db\\n\\t\\t\\t\\tconnec.close();\\n\\t\\t\\t} catch (SQLException e) {\\n\\t\\t\\t\\tthrow new DAOException(\\\"ERROR: cerrando conexion a DB para 'deleteAll' no logrado\\\\n\\\");\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e4c09450c4f4699208a6255e46a219bb\",\n \"score\": \"0.6323055\",\n \"text\": \"void deleteAll() throws RuntimeException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"45b0509c33b7c93a018d53db5eda6909\",\n \"score\": \"0.6307566\",\n \"text\": \"@GetMapping(path=\\\"/deleteAll\\\")\\n\\tpublic @ResponseBody void deleteAllNodes() {\\n\\t\\tnodeRepository.deleteAll();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f6612b882089872ce314411a7a9d9bd\",\n \"score\": \"0.6294605\",\n \"text\": \"public int deleteAll() {\\n\\t\\treturn getWritableDb().delete(th.getTableName(), null, null);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"485cec55e47e9950d4126d32b5539e29\",\n \"score\": \"0.62544185\",\n \"text\": \"@Override \\n public boolean deleteAll() {\\n em.createNamedQuery(\\\"Commande.deleteAll\\\").executeUpdate();\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8ff9c5014c4a9fcdaa785220d54661d8\",\n \"score\": \"0.6249694\",\n \"text\": \"void deleteAll(Collection objects);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e7d7ad395168f48ec02aa0238f4cec54\",\n \"score\": \"0.6231827\",\n \"text\": \"void deleteAll(Connection conn) throws SQLException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8e0fe7efb226aa9eefdbf8f049d4e5fc\",\n \"score\": \"0.62265235\",\n \"text\": \"boolean deleteAll(int userId);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8e0fe7efb226aa9eefdbf8f049d4e5fc\",\n \"score\": \"0.62265235\",\n \"text\": \"boolean deleteAll(int userId);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c45ec0420cf833f1a9808c23258d5395\",\n \"score\": \"0.6210671\",\n \"text\": \"@Transactional\\n\\t@Override\\n\\tpublic void deleteAll() throws Exception {\\n\\t\\tdiegoNoblecillaRepository.deleteAll();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"896cb49b1e8ae00167a88714cd92308b\",\n \"score\": \"0.62065715\",\n \"text\": \"public void deleteAllEmployees();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4bf573a5605578f51521bf0b2d572ce2\",\n \"score\": \"0.62011784\",\n \"text\": \"public void deleteAllRecords() {\\r\\n // TODO Auto-generated method stub\\r\\n\\r\\n// SQLiteDatabase db = this.getWritableDatabase();\\r\\n// // db.execSQL(\\\"delete from \\\"+ this.tblUsers);\\r\\n// db.delete(this.tblUsers, null, null);\\r\\n// db.close();\\r\\n\\r\\n\\t\\t/*\\r\\n * or, if you want the function to return the count of deleted rows,\\r\\n\\t\\t * \\r\\n\\t\\t * db.delete(TABLE_NAME, \\\"1\\\", null); From the documentation of\\r\\n\\t\\t * SQLiteDatabase delete method:\\r\\n\\t\\t * \\r\\n\\t\\t * To remove all rows and get a count pass \\\"1\\\" as the whereClause.\\r\\n\\t\\t */\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"006d056afad0f3f29daa2c17db5bb790\",\n \"score\": \"0.6189124\",\n \"text\": \"public void deleteAll() {\\n\\t\\tSystem.out.println(\\\"MySQL 디비 다 지워\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"575292bdc970d9e477fe382169cd0e4d\",\n \"score\": \"0.6187319\",\n \"text\": \"@Query(\\\"DELETE FROM data\\\")\\n void delete_all();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12bcbf29fcf4a147119c32f933ca85c9\",\n \"score\": \"0.6146678\",\n \"text\": \"public void deleteAllData() throws Exception;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"795fa392042382d95b83af7661e0ab82\",\n \"score\": \"0.6139391\",\n \"text\": \"@Override\\n\\tpublic void deleteAll(String province) {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bb06560ee52670fc2861a9ad7a904ce9\",\n \"score\": \"0.61270255\",\n \"text\": \"CompletableFuture<Void> deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"32146df623d78874b1ceabbdf3c66926\",\n \"score\": \"0.6124535\",\n \"text\": \"public void deleteAllVendors() {\\n\\t\\tvendorDao.deleteAllVendors();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"38cdf1cacf9f09483c886a97199e85bc\",\n \"score\": \"0.6091442\",\n \"text\": \"public void deleteCustomers(){\\n sqLiteDatabase.execSQL(\\\"DELETE FROM \\\" + SqlHelper.TABLE_CUSTOMERS);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b92b58459eefbcb2ed32aa6605998d4\",\n \"score\": \"0.6088489\",\n \"text\": \"private void deleteAllProducts() {\\n int rowsDeleted = getContentResolver().delete(ProductContract.ProductEntry.CONTENT_URI, null, null);\\n Log.v(\\\"CatalogActivity\\\", rowsDeleted + \\\" rows deleted from products database\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d94324fc4a0162844865d00388d28bd7\",\n \"score\": \"0.6076998\",\n \"text\": \"public void deleteAllAddress(){\\n try { \\r\\n String query=\\\"delete from ADDRESSES\\\"; //delete from ADDRESS deletes all of the data in the sql table\\r\\n preparedstatement=connection.prepareStatement(query);\\r\\n // preparedstatement.setInt(1,id); //we dont need this statement if we are deleting everything once again \\r\\n preparedstatement.executeUpdate();\\r\\n \\r\\n } catch (SQLException ex) {\\r\\n Logger.getLogger(AddressOptions.class.getName()).log(Level.SEVERE,null,ex);\\r\\n }\\r\\n \\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b2027d4195014ef900a2de808938bef\",\n \"score\": \"0.60760254\",\n \"text\": \"@Override\\n\\tpublic void deleteAll(Iterable<? extends Oferta> entities) {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6db19f2b0e248daf264d83629ee59527\",\n \"score\": \"0.60720056\",\n \"text\": \"public void deleteAll()\\r\\n\\t{\\r\\n\\t\\tRuntimeExceptionDao<Image, String> dao = getSimpleDataDao();\\r\\n\\t\\tList<Image> list = dao.queryForAll();\\r\\n\\t\\tdao.delete(list);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c1c36894de745b8e272af893c196c753\",\n \"score\": \"0.6071355\",\n \"text\": \"@Override\\n\\tpublic void deleteAllInBatch() {\\n\\t\\townerRepo.deleteAllInBatch();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"13b74df8dba81a0cd9d918d897410d0c\",\n \"score\": \"0.60648537\",\n \"text\": \"@Override\\n\\tpublic void deleteAll() {\\n\\t\\townerRepo.deleteAll();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8504081b12ddc9123fc9155abb51370c\",\n \"score\": \"0.6050909\",\n \"text\": \"@Override\\n public void deleteAll() {\\n this.settingsManagerDao.deleteAll();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0332dba86038a6fc78ea7b6cf343cb3a\",\n \"score\": \"0.6041659\",\n \"text\": \"public static void removeAllCustomers() {\\r\\n\\tString query1 = \\\"SELECT invoiceID FROM Invoice\\\";\\r\\n\\tConnection conn = DatabaseInfo.getConnection();\\r\\n\\r\\n\\ttry {\\r\\n\\tPreparedStatement ps1 = conn.prepareStatement(query1);\\r\\n\\tResultSet rs1 = ps1.executeQuery();\\r\\n\\tint invoiceID = 0;\\r\\n\\r\\n\\t// This loop deletes the invoiceID foreign key from ProductListInvoices\\r\\n\\r\\n\\twhile (rs1.next()) {\\r\\n\\tinvoiceID = rs1.getInt(\\\"invoiceID\\\");\\r\\n\\r\\n\\tString query2 = \\\"DELETE FROM ProductListInvoices WHERE invoiceID = ?\\\";\\r\\n\\tPreparedStatement ps2 = conn.prepareStatement(query2);\\r\\n\\tps2.setInt(1, invoiceID);\\r\\n\\tps2.executeUpdate();\\r\\n\\tps2.close();\\r\\n\\t}\\r\\n\\tps1.close();\\r\\n\\trs1.close();\\r\\n\\t\\r\\n\\r\\n\\tString query = \\\"SELECT customerID FROM Customers\\\";\\r\\n\\tPreparedStatement ps = conn.prepareStatement(query);\\r\\n\\tResultSet rs = ps.executeQuery();\\r\\n\\tint customerID = 0;\\r\\n\\t// This loop deletes the Invoice that has a certain CustomerID\\r\\n\\t// foreign key\\r\\n\\twhile (rs.next()) {\\r\\n\\tcustomerID = rs.getInt(\\\"customerID\\\");\\r\\n\\t\\r\\n\\r\\n\\tString query4 = \\\"DELETE FROM Invoice WHERE customerID = ?\\\";\\r\\n\\tPreparedStatement ps4 = conn.prepareStatement(query4);\\r\\n\\tps4.setInt(1, customerID);\\r\\n\\tps4.executeUpdate();\\r\\n\\t\\r\\n\\tString query5 = \\\"DELETE FROM Address WHERE customerID = ?\\\";\\r\\n\\tPreparedStatement ps5 = conn.prepareStatement(query5);\\r\\n\\tps5.setInt(1, customerID);\\r\\n\\tps5.executeUpdate();\\r\\n\\t\\r\\n\\t\\r\\n\\tps4.close();\\r\\n\\tps5.close();\\r\\n\\t\\r\\n\\t}\\r\\n\\trs.close();\\r\\n\\tps.close();\\r\\n\\t// Finally deletes all Customer\\r\\n\\tString query6 = \\\"DELETE FROM Customers\\\";\\r\\n\\tPreparedStatement ps6 = conn.prepareStatement(query6);\\r\\n\\tps6.executeUpdate();\\r\\n\\tps6.close();\\r\\n\\t\\r\\n\\t\\r\\n\\tconn.close();\\r\\n\\t} catch (SQLException e) {\\r\\n\\tSystem.out.println(\\\"SQLException: \\\");\\r\\n\\te.printStackTrace();\\r\\n\\tthrow new RuntimeException(e);\\r\\n\\t}\\r\\n\\t\\r\\n\\t\\r\\n\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"de0bf80f1aa73010ae253b5147003d54\",\n \"score\": \"0.60207987\",\n \"text\": \"@Override\\n\\tpublic void deleteAll(List<KeepAlive> keepAlive) {\\n\\t\\tkeepAliveDao.deleteAll(keepAlive);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"da72b73d1ae7a12d7f909f006c6743c0\",\n \"score\": \"0.601981\",\n \"text\": \"@Override\\n public void deleteAllDeviceLogs() {\\n initializeDatabase();\\n\\n DeviceLogTable.deleteAllDeviceLogs(database);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5b2cd60c75e733a34e0239566c4290b2\",\n \"score\": \"0.60124654\",\n \"text\": \"public void deleteAll() {\\n if (LOGGER.isDebugEnabled()) {\\n LOGGER.debug(\\\"XXXX delete all webengine cache()\\\");\\n }\\n\\n synchronized (synchroDelete) {\\n final CacheProvider<CacheManager> cacheProvider = EhCacheServices.getInstance().getCacheProvider();\\n final Cache cache = cacheProvider.getDelegate().getCache(\\n region.regionName());\\n cache.removeAll();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"67ea73528fa9e2ba156ce418acded49a\",\n \"score\": \"0.60074294\",\n \"text\": \"@Override\\n @RestResource(exported = false)\\n void deleteAll(Iterable<? extends Company> company);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3a65d2c86fc80221460d0a7068eebdb4\",\n \"score\": \"0.60021067\",\n \"text\": \"public void deleteAllObjects() {\\r\\n\\t\\tEventManager.getInstance().deleteAllObjects();\\r\\n\\t\\tIssuerEvent.getInstance().deleteAllMessages();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"158f2de32b7e7e4fc63ad069fe09e777\",\n \"score\": \"0.6001794\",\n \"text\": \"public void deleteAll(){\\n getWriteDB().execSQL(\\\"delete from \\\"+ mHelper.TABLE_NAME);\\n getWriteDB().close();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"612389ff3d17c7fcc0f7304f373f6780\",\n \"score\": \"0.59718335\",\n \"text\": \"@Override\\n\\tpublic void deleteAll(List<?> list) {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6f0300d6fc6b776dbd39c9adb9159cfd\",\n \"score\": \"0.5971092\",\n \"text\": \"@Override\\n\\tpublic void deleteInBatch(Iterable<Customers> entities) {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ad95c148b5548563cf39f68506e03d7\",\n \"score\": \"0.596021\",\n \"text\": \"@Query(\\\"DELETE FROM notes\\\")\\n int deleteAll();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"65c56cce64bc96d5ed44bfcce76e8c8c\",\n \"score\": \"0.5956146\",\n \"text\": \"public void clearAll() {\\n realm.beginTransaction();\\n// realm.clear(NumberBundling.class);\\n realm.commitTransaction();\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992493,"cells":{"query_id":{"kind":"string","value":"9b34aed9f00df34f5e2997bfa0a3a72c"},"query":{"kind":"string","value":"onPostExecute used to return results"},"positive_passages":{"kind":"list like","value":[{"docid":"e4a78bffa23ab9a0b1b39eb0110a51de","score":"0.71620375","text":"@Override\n protected void onPostExecute(String[] data) {\n super.onPostExecute(data);\n delegate.processFinish(data);\n }","title":""}],"string":"[\n {\n \"docid\": \"e4a78bffa23ab9a0b1b39eb0110a51de\",\n \"score\": \"0.71620375\",\n \"text\": \"@Override\\n protected void onPostExecute(String[] data) {\\n super.onPostExecute(data);\\n delegate.processFinish(data);\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"c12a2700f79ef4b941c7f0fda21a03f8","score":"0.8189538","text":"@Override\n protected void onPostExecute(List result)\n {\n }","title":""},{"docid":"685bd4d07025d34317a89ef524d8a296","score":"0.8155944","text":"protected void onPostExecute(Object result) {\n }","title":""},{"docid":"6c4c7a7830cb9f4afd2406b3cebbbabb","score":"0.8057811","text":"@Override\n protected void onPostExecute(String result) {\n\n }","title":""},{"docid":"2fa9693a578326e6c7d7ed363bdfa15f","score":"0.8054577","text":"@Override\n protected void onPostExecute(String result) {\n }","title":""},{"docid":"3520b44ec8535573fec806c35c1b6d53","score":"0.80499816","text":"@Override\n protected void onPostExecute(String result) {\n\n }","title":""},{"docid":"06f130c02d52f626b7f283945b27508a","score":"0.8024873","text":"@Override\n protected void onPostExecute(String result) {\n }","title":""},{"docid":"a599193bb833337441e07a890c58942b","score":"0.7885751","text":"@Override\nprotected void onPostExecute(ArrayList<Hiragana> result) {\n\tsuper.onPostExecute(result);\n\n}","title":""},{"docid":"cab91b00b288e60ec3f97e86a4575c2a","score":"0.7871087","text":"protected void onPostExecute(Long result) {\n\t }","title":""},{"docid":"9a7decde9f7483e899fd9300bc4ca175","score":"0.7863878","text":"protected void onPostExecute() {\n }","title":""},{"docid":"99578bb5d48272b6c4fde5358758cfea","score":"0.7835381","text":"@Override\n\tprotected void onPostExecute(Void v){}","title":""},{"docid":"5d7e328e25c31d44f983cce2488091bc","score":"0.77770174","text":"protected void onPostExecute() {\n\n }","title":""},{"docid":"fd8d4246c9b2a0f14a4b3109ab050d53","score":"0.77374846","text":"@Override\n protected void onPostExecute(String result) {\n delegate.processFinish(result);\n }","title":""},{"docid":"9d7a57cfcf607d065b7399ef5a78867f","score":"0.77340424","text":"@Override\n protected void onPostExecute(Void res) {\n\n }","title":""},{"docid":"598527ed7be560a803c18ee75d5419e1","score":"0.7712234","text":"@Override\n protected void onPostExecute(Void res) {\n }","title":""},{"docid":"db9d68aba0e9520fb5c35a412ca3cbd1","score":"0.7660098","text":"@Override\n protected void onPostExecute(Void unused) {\n\n\n\n }","title":""},{"docid":"d3cf916bd73e09d3ddb1bde4dac49c55","score":"0.7647512","text":"@Override\n protected void onPostExecute(String result) {\n \tj.showres(result);\n }","title":""},{"docid":"00372075768a41d131490057582952d2","score":"0.7618806","text":"@Override\n\tprotected void onPostExecute(ArrayList<Integer> result)\n\t{\n\t\tsuper.onPostExecute(result);\n\t}","title":""},{"docid":"db216c8c1d2fcb23a2704066c43281ab","score":"0.7614194","text":"protected void onPostExecute(Integer result) {\n delegate.processFinish(result);\n }","title":""},{"docid":"920fbf906b4718cabc2f650d260b24f4","score":"0.760578","text":"@Override\n protected void onPostExecute(Boolean result) {\n }","title":""},{"docid":"ad445d7287fed63ab313a037303031b0","score":"0.75956255","text":"protected void onPostExecute( ArrayList<Map<String, Object>> result) \r\n\t{\n\t}","title":""},{"docid":"16b83bcaa14ec38b6936448775ab40d0","score":"0.75557727","text":"@Override\n protected void onPostExecute(Boolean result) {\n }","title":""},{"docid":"37954204a95ce7994706211e13cbc9b8","score":"0.7524006","text":"@Override\r\n protected void onPostExecute(Void unused) {\r\n\r\n }","title":""},{"docid":"ade4c9abd4a5e977a6aab9378865dcf1","score":"0.74879354","text":"@Override\n protected void onPostExecute(String result) {\n super.onPostExecute(result);\n\n }","title":""},{"docid":"841bfd93b83dfeef633a52c01d2b005c","score":"0.74723357","text":"public void onPostExecute(String fromDoInBackground) {\n //Log.i(\"HTTP\", fromDoInBackground);\n super.onPostExecute(fromDoInBackground);\n mProgressBar.setVisibility(View.VISIBLE);\n\n// TextView t = findViewById(R.id.temp);\n// t.setText(baseURL+searchText);\n\n\n }","title":""},{"docid":"9ecc3f74474c4129ca3a77508690759a","score":"0.7454366","text":"@Override\n protected void onPostExecute(String result) {\n Log.i(\"onPostExecute\", result);\n updateUI();\n }","title":""},{"docid":"e895af80e606f535be5e12b593705f16","score":"0.7454333","text":"@Override\n protected void onPostExecute(String result) {\n Log.d(\"GooglePlacesReadTask\", \"onPostExecute Entered\");\n List<DataParser> nearbyPlacesList;\n DataParser dataParser = new DataParser();\n nearbyPlacesList = dataParser.parse(result, MainActivity.caseToParse);\n showNearbyPlaces(nearbyPlacesList);\n Log.d(\"GooglePlacesReadTask\", \"onPostExecute Exit\");\n }","title":""},{"docid":"2780d2ecb66daa124f180756b6c1251f","score":"0.7446329","text":"protected void onPostExecute(ArrayList<HashMap<String, String>> result) {\n\t populateListView(result);\t\t \n\t }","title":""},{"docid":"db9f376d60243f65f89a3aac9e387393","score":"0.7443732","text":"@Override\n\t\tprotected void onPostExecute(Void result) {\n\t\t\tsuper.onPostExecute(result);\n\t\t}","title":""},{"docid":"2128eab06cba77b26bd5462f51ad1723","score":"0.7421076","text":"protected void onPostExecute(String result) {\n onEndPost.Finish(result);\n }","title":""},{"docid":"9c79fe638799d530203858837f60d6f5","score":"0.7420704","text":"@Override\r\n protected void onPostExecute(String result){\r\n \r\n // Instantiating ParserTask which parses the json data from Geocoding webservice\r\n // in a non-ui thread\r\n \tdestinationParserTask parserTask = new destinationParserTask();\r\n \r\n // Start parsing the places in JSON format\r\n // Invokes the \"doInBackground()\" method of the class ParseTask\r\n parserTask.execute(result);\r\n }","title":""},{"docid":"f062607a3a2626cf2ce03caa6d66c341","score":"0.74053526","text":"@Override\n protected void onPostExecute(AsyncTaskResult<String> result) {\n mOwner.getResult(result);\n }","title":""},{"docid":"3e5f11e2906662305507b13898ec86b0","score":"0.74004465","text":"@Override\n\tprotected void onPostExecute(Void result) {\n\t\tsuper.onPostExecute(result);\n\n\t}","title":""},{"docid":"6be337c836eba80c94de57b9098d652a","score":"0.738815","text":"@Override\r\n protected void onPostExecute(String result){\r\n \r\n // Instantiating ParserTask which parses the json data from Geocoding webservice\r\n // in a non-ui thread\r\n ParserTask parserTask = new ParserTask();\r\n \r\n // Start parsing the places in JSON format\r\n // Invokes the \"doInBackground()\" method of the class ParseTask\r\n parserTask.execute(result);\r\n }","title":""},{"docid":"0f9a93bc11fadaeddeaec25af85bf78c","score":"0.7380358","text":"@Override\n \t\tprotected void onPostExecute(Boolean result) {\n \t\t\tsuper.onPostExecute(result);\n \t\t}","title":""},{"docid":"8e768b424e7b34c769dc2e9b4fb04161","score":"0.737093","text":"@Override\n protected void onPostExecute(String result) {\n\n //Toast.makeText(getApplicationContext(), \"Los datos se almacenaron correctamente\", Toast.LENGTH_SHORT).show();\n\n }","title":""},{"docid":"0aab08057862c14b1c3c0683d17ee41a","score":"0.73511547","text":"@Override\r\n\t\tprotected void onPostExecute(String result) {\n\t\t\tsuper.onPostExecute(result);\r\n//\t\t\t\r\n\t\t\t\r\n\t\t\tLog.d(\"new asynctask\", \"post exe 1\");\r\n\t\t\t\r\n\t\t\tLog.i(\"final\", result);\r\n\t\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\tsendsms(ph_no, result);\r\n\r\n\t\t\t\r\n\t\t\r\n\t\t\t\r\n\t\t}","title":""},{"docid":"915b79d6bec017d40d424b41c1b84ce6","score":"0.734527","text":"@Override\n protected void onPostExecute(Void result) {\n super.onPostExecute(result);\n\n }","title":""},{"docid":"111398ec060cae23837e45b48a931dc7","score":"0.73376036","text":"@Override\n protected void onPostExecute(Integer integer) {\n Toast.makeText(MainActivity.this,\"total \"+result+\" articles found\",Toast.LENGTH_LONG).show();\n }","title":""},{"docid":"1412dbcea3e0d8f6c396ca81a4587b1a","score":"0.73233694","text":"@Override\n\t\tprotected void onPostExecute(String result) {\n\t\t\tsuper.onPostExecute(result);\n\t\t\tprocessParsingJson();\n\t\t}","title":""},{"docid":"1f18f8f0a44457edd799b634af6b603f","score":"0.73213816","text":"protected void onPostExecute(String result)\n {\n finished=result;\n }","title":""},{"docid":"e51601489c3bf54ea8f96dbe0b1b1de3","score":"0.7321057","text":"@Override\n protected void onPostExecute(Void result) {\n super.onPostExecute(result);\n }","title":""},{"docid":"e51601489c3bf54ea8f96dbe0b1b1de3","score":"0.7321057","text":"@Override\n protected void onPostExecute(Void result) {\n super.onPostExecute(result);\n }","title":""},{"docid":"e51601489c3bf54ea8f96dbe0b1b1de3","score":"0.7321057","text":"@Override\n protected void onPostExecute(Void result) {\n super.onPostExecute(result);\n }","title":""},{"docid":"5a023a309ad40e95e5f090332ecfd733","score":"0.7312924","text":"@Override\n protected void onPostExecute(ArrayList<String> arrayList) {\n\n }","title":""},{"docid":"bf1281160c26f77bc6d2ccc1a240d210","score":"0.7297695","text":"@Override\n\t\tprotected void onPostExecute(String result) {\n\t\t\tLog.i(TAG, result);\n\t\t}","title":""},{"docid":"6a0ed717803e9b164bc1550e05caed10","score":"0.72872305","text":"@Override\n protected void onPostExecute(Void result) {\n super.onPostExecute(result);\n dialog.dismiss();\n loadList();\n // tv.setText(\"Completed the task, and the result is : \" + myData);\n }","title":""},{"docid":"aa8b1bdd64f09bc8ccdba530ee84611b","score":"0.7263489","text":"@Override\n protected void onPostExecute(WAQueryResult response) {\n if (queryResult.isError()) {\n Log.i(TAG, \"Query error\");\n Log.i(TAG, \" error code: \" + queryResult.getErrorCode());\n Log.i(TAG, \" error message: \" + queryResult.getErrorMessage());\n } else if (!queryResult.isSuccess()) {\n Log.i(TAG, \"Query was not understood; no results available.\");\n } else {\n // Got a result.\n Log.i(TAG, \"Successful query. Pods follow:\\n\");\n for (WAPod pod : queryResult.getPods()) {\n if (!pod.isError()) {\n Log.i(TAG, pod.getTitle());\n Log.i(TAG, \"------------\");\n for (WASubpod subpod : pod.getSubpods()) {\n for (Object element : subpod.getContents()) {\n if (element instanceof WAPlainText) {\n Log.i(TAG, ((WAPlainText) element).getText());\n }\n }\n }\n }\n }\n\n WAPod stats = queryResult.getPods()[0];\n WASubpod stat = stats.getSubpods()[0];\n for (Object element : stat.getContents()) {\n if (element instanceof WAPlainText) {\n mean = ((WAPlainText) element).getText();\n txtAvgKillTime = (TextView) findViewById(R.id.avgKillTimeNumber);\n txtAvgKillTime.setText(mean.substring(7, 12) + \" hrs.\"); // removes the mean | part from the value\n break;\n }\n }\n }\n }","title":""},{"docid":"25f732bcf1a18c4d76c31d4d1b22a28a","score":"0.7259687","text":"@Override\r\n\tprotected void onPostExecute(JSONObject result) {\n\t\tsuper.onPostExecute(result);\r\n\r\n\t\t\r\n\t\tif (result != null)\r\n\t\t\tasynkTaskCommunicationInterface.doPostExecuteForCommu(result);\r\n\r\n\t}","title":""},{"docid":"ee6900a1c432cdacf4db5bb554035dba","score":"0.72420806","text":"@Override\n protected void onPostExecute(String result)\n {\n super.onPostExecute(result);\n \n ParserTask parserTask = new ParserTask();\n \n // Invokes the thread for parsing the JSON data\n parserTask.execute(result);\n \n }","title":""},{"docid":"9a373728cb4e0c29a37e38137896b1e7","score":"0.7233477","text":"@Override\n \tprotected void onPostExecute(Void result){\n \t\tcontext.displaySolutions(solutionList);\n \t}","title":""},{"docid":"ef1de002f1f40339afb8297a3ef407a9","score":"0.7232746","text":"@Override\n protected void onPostExecute(Boolean result) {\n super.onPostExecute(result);\n if (result) {\n }\n }","title":""},{"docid":"766775e82be75e8e8f9c465c8b0ea2de","score":"0.72178715","text":"protected void onPostExecute(List<Encounter> result) {\n StableArrayAdapter arrayAdapter = new StableArrayAdapter(EncounterListActivity.this, result);\n ListView encounterList = (ListView) findViewById(R.id.encounterList);\n encounterList.setAdapter(arrayAdapter);\n\n ringProgressDialog.dismiss();\n }","title":""},{"docid":"011fbb69cef812211834ed85d55bca8c","score":"0.7213901","text":"@Override\n protected void onPostExecute(String result) {\n Log.d(\"result\", \"<><> result: \" + result);\n ParserTask parserTask = new ParserTask();\n\n // Start parsing the Google places in JSON format\n // Invokes the \"doInBackground()\" method of the class ParserTask\n parserTask.execute(result);\n }","title":""},{"docid":"37a2e1b63961650d14dc5c2966b7c454","score":"0.72069454","text":"public abstract void onPostExecuteGuarded(Result result);","title":""},{"docid":"237252ee55638529b67596558ff03030","score":"0.7197836","text":"@Override\n\t\tprotected void onPostExecute(ArrayList<GalleryItem> result) {\n\t\t\t\n\t\t\tmItems = result;\n\t\t\tsetupAdapter();\n\t\t\t\n\t\t}","title":""},{"docid":"310823f52bf0a7caa013ffe018e7252d","score":"0.7194536","text":"@Override\n\t\t\tprotected void onPostExecute(String result) {\n\t\t\t\tadapter.notifyDataSetChanged();\n\t\t\t}","title":""},{"docid":"6bfac16443ac83a93799f58ae4c70026","score":"0.71827906","text":"@Override\n protected void onPostExecute(Void result) {\n Log.d(\"onPostExecute\", \"OK READY\");\n\n }","title":""},{"docid":"b200648a506b0854f0f5308a691b1c97","score":"0.7160119","text":"protected void onPostExecute(ArrayList<Params> result) {\n\t\tsuper.onPostExecute(result);\n\t\tprogressDialog.dismiss();\n\t\tMessage msg = new Message();\n\t\tBundle b= new Bundle();\n\t\tb.putParcelableArrayList(\"DATA\", result);\n\t\tLog.d(\"data\", String.valueOf(result.size()));\n\t\tmsg.setData(b);\n\t\tListView_Deals1.handler.sendMessage(msg);\n\t\t}","title":""},{"docid":"1fea7b7af585a32a4f5e79730cadb568","score":"0.71470016","text":"@Override\n protected void onPostExecute(String result) {\n \tj.updateslots(result);\n }","title":""},{"docid":"5f7097617e3f7eecd72b77aabed822e4","score":"0.7133196","text":"protected void onPostExecute(String result) {\n super.onPostExecute(result);\n\n ParserTask parserTask = new ParserTask();\n // Invokes the thread for parsing the JSON data\n parserTask.execute(result);\n\n }","title":""},{"docid":"bfc89f701bd321d0eb7410c2e2170ac2","score":"0.7132938","text":"@Override\n\tprotected void onPostExecute(List<InspectionTask> result) {\n\t\tsuper.onPostExecute(result);\n\t\tif(mCallBack != null) {\n\t\t\tmCallBack.callBackResult(result);\n\t\t}\n\t}","title":""},{"docid":"98c37c340b10fb22c9849053560f7a8c","score":"0.7132885","text":"@Override\n protected void onPostExecute(Bitmap result) {\n /*ImageView imageView = (ImageView) findViewById(R.id.listitem);\n imageView.setImageBitmap(result);*/\n getdata(result);\n bindfragmentwithadapter();\n }","title":""},{"docid":"85b441df29bd93d71c8604ba7906114e","score":"0.71191615","text":"protected void onPostExecute(String result) {\n //pDialog.dismiss();//ocultamos progess dialog.\n Log.e(\"onPostExecute=\", \"\" + result);\n }","title":""},{"docid":"9a84dbaf9bc8325b42d1d51b0a698349","score":"0.71142185","text":"@Override\n protected void onPostExecute(Void result) {\n gridview = (GridView) rootView.findViewById(R.id.gridview);\n // Pass the results into ListViewAdapter.java\n adapter = new FeedsGridAdapter(FeedsFragment.this.getContext(),\n phonearraylist);\n adapter.notifyDataSetChanged();\n // Binds the Adapter to the ListView\n gridview.setAdapter(adapter);\n\n }","title":""},{"docid":"b8aafd14fd98bcb95db47385ad33e9ca","score":"0.7113635","text":"protected void onPostExecute(String param) {\n\n }","title":""},{"docid":"bd58ffc1b08fd2dc75b6f8c16be0ce80","score":"0.71101665","text":"@Override\n protected void onPostExecute(Void result) {\n super.onPostExecute(result);\n dialog.dismiss();\n // tv.setText(\"Completed the task, and the result is : \" + myData);\n }","title":""},{"docid":"133c39475686603bfd1821dcc2013c66","score":"0.71034336","text":"@Override\n\t protected void onPostExecute(String result) { // \n\t Toast.makeText(StatusActivity.this, result, Toast.LENGTH_LONG).show();\n\t }","title":""},{"docid":"e7fe668ff000f1c2e3a75a8850269c16","score":"0.70993763","text":"@Override\n protected void onPostExecute(String result) {\n super.onPostExecute(result);\n\n ParserTask parserTask = new ParserTask();\n // Invokes the thread for parsing the JSON data\n parserTask.execute(result);\n }","title":""},{"docid":"e149202d5833c9848cdfa7256511937a","score":"0.7090572","text":"@Override\n\tprotected void onPostExecute( Map<String, Object> result) {\n\t\tsuper.onPostExecute(result);\n\n\t\tif (progressdialog != null && progressdialog.isShowing()) {\n\t\t\tprogressdialog.dismiss();\n\t\t}\n\t\tif (bookshelfdata != null) \n\t\t{\n//\t\t\t ((BookShelfActivity)context).refreshView(bookshelfdata);\n\t\t\t\n//\t\t\tIntent intent = new Intent(context, BookShelfActivity.class);\n//\t\t\t\n//\t\t\tLog.i(\"PLJ\", \"bookshelfdata++==>\"+bookshelfdata);\n//\t\t\t\n//\t\t\tintent.putExtra(\"bookshelfdata\", bookshelfdata);\n//\t\t\t((Activity)context).startActivity(intent);\n\t\t}\n\t\telse \n\t\t{\n\t\t\tToast.makeText(context,\n\t\t\t\t\tcontext.getResources().getString(R.string.userinfoerror),\n\t\t\t\t\tToast.LENGTH_LONG).show();\n\t\t}\n\t\t\n\t}","title":""},{"docid":"c3047484e1f617028a6d1fbfaf7efd88","score":"0.70902455","text":"@Override\n protected void onPostExecute(String result) {\n Toast.makeText(MainActivity.this, result, Toast.LENGTH_LONG).show();\n }","title":""},{"docid":"75104228e3f0c9361bb305837cc7c437","score":"0.70889443","text":"@Override\n protected void onPostExecute(String result) {\n super.onPostExecute(result);\n\n ParserTask parserTask = new ParserTask();\n\n // Invokes the thread for parsing the JSON data\n parserTask.execute(result);\n\n }","title":""},{"docid":"75104228e3f0c9361bb305837cc7c437","score":"0.70889443","text":"@Override\n protected void onPostExecute(String result) {\n super.onPostExecute(result);\n\n ParserTask parserTask = new ParserTask();\n\n // Invokes the thread for parsing the JSON data\n parserTask.execute(result);\n\n }","title":""},{"docid":"75104228e3f0c9361bb305837cc7c437","score":"0.70889443","text":"@Override\n protected void onPostExecute(String result) {\n super.onPostExecute(result);\n\n ParserTask parserTask = new ParserTask();\n\n // Invokes the thread for parsing the JSON data\n parserTask.execute(result);\n\n }","title":""},{"docid":"11c21bf098aa1dc9ae48543a271eedc0","score":"0.7088166","text":"@Override\n protected void onPostExecute(String result) {\n super.onPostExecute(result);\n ParserTask parserTask = new ParserTask();\n // Invokes the thread for parsing the JSON data\n parserTask.execute(result);\n }","title":""},{"docid":"8a33326d373a2c9423c216217ba062e6","score":"0.7086833","text":"protected void onPostExecute(String file_url) {\n // dismiss the dialog after getting all products\n //pDialog.dismiss();\n // updating UI from Background Thread\n runOnUiThread(new Runnable() {\n public void run() {\n /**\n * Updating parsed JSON data into ListView\n * */\n \tadapter = new CustomAdapter(getApplicationContext(), ResidenceList);\n \t\t\n \t\tResidence.setAdapter(adapter);\n \n }\n });\n \n }","title":""},{"docid":"d19710edf495c040dad834fc226b3d7d","score":"0.7081351","text":"@Override\n\tprotected void onPostExecute(String response) {\n\t\t\n\t\ttry {\n\t\t\tJSONObject jsonObj = new JSONObject(response);\n\t\t\t\n\t\t\tmListener.onSearchResults(getResults(jsonObj.getJSONObject(\"responseData\")));\n\t\t\t\n\t\t\t//JSONObject jsonObj = jsonObj.getJSONObject(\"responseData\");\n\t\t\t//JSONObject jCursor = jsonObj.getJSONObject(\"cursor\");\n\t\t\t//if(jCursor.has(\"pages\")) {\n\t\t\t//\tJSONArray jPages = jCursor.getJSONArray(\"pages\");\n\t\t\t//}\n\t\t} catch (JSONException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\t \n\t\t\n\t}","title":""},{"docid":"02dbf1aea46425165e8b246eae9f70a7","score":"0.70767266","text":"@Override\r\n protected void onPostExecute(String result) {\r\n super.onPostExecute(result);\r\n\r\n\r\n\r\n\r\n // Do things like hide the progress bar or change a TextView\r\n }","title":""},{"docid":"b6fd74252dda62578c59f5f084d888c5","score":"0.7070145","text":"@Override\n protected void onPostExecute(String s) {\n }","title":""},{"docid":"47b160f48c8e2ffdbc69022e196e1a00","score":"0.70620346","text":"@Override\n\t\t\tprotected void onPostExecute(ArrayList<String[]> result) {\n\t\t\t ArrayList<String[]> itemsList = result;\n\t\t\t \n\t\t\t for (int i=0;i<itemsList.size();i++){\n\t\t EpisodeCard card = new EpisodeCard(getActivity(),itemsList.get(i)[0],itemsList.get(i)[1],itemsList.get(i)[2],itemsList.get(i)[3],itemsList.get(i)[4], itemsList.get(i)[5], getActivity());\n\t\t cards.add(card);\n\t\t }\n\t\t\t \n\t\t mCardArrayAdapter = new CardArrayAdapter(getActivity(),cards);\n\n\t\t listView = (CardListView) getActivity().findViewById(R.id.announce_list_cards);\n\t\t if (listView!=null){\n\t\t listView.setAdapter(mCardArrayAdapter);\n\t\t }\n\t\t\t\t\n\t\t ef.getActivity().runOnUiThread(new Runnable() {\n\t public void run() {\n\t // some code #3 (that needs to be ran in UI thread)\n\t \t //mCardArrayAdapter.addAll(cards);\n\t \t\n\t \t //listView.invalidateViews();\n\t \tef.getActivity().setProgressBarIndeterminateVisibility(false);\n\t }\n\t });\n\t\t\t}","title":""},{"docid":"a23944f10ad62104b2f801145d2d422e","score":"0.7059567","text":"@Override\n protected void onPostExecute(String result) {\n super.onPostExecute(result);\n\n ParserTask parserTask = new ParserTask();\n\n // Invokes the thread for parsing the JSON data\n parserTask.execute(result);\n }","title":""},{"docid":"a23944f10ad62104b2f801145d2d422e","score":"0.7059567","text":"@Override\n protected void onPostExecute(String result) {\n super.onPostExecute(result);\n\n ParserTask parserTask = new ParserTask();\n\n // Invokes the thread for parsing the JSON data\n parserTask.execute(result);\n }","title":""},{"docid":"64366e5a5b2914be5d7405dc98cba196","score":"0.7050036","text":"public void onPostExecute(ArrayMap<String, ArrayMap<String, String>> result) {\n TableLayout table = findViewById(R.id.tableview);\n for(int i = 0, j = table.getChildCount(); i < j; i++) {\n TableRow row = (TableRow) table.getChildAt(i);\n String text = (String) ((TextView) row.getChildAt(0)).getText();\n ArrayMap<String, String> infoMap = result.get(text);\n // Somewhat hardcoded\n ((TextView)row.getChildAt(1)).setText(infoMap.get(\"mapname\"));\n ((TextView)row.getChildAt(2)).setText(infoMap.get(\"numplayers\") + \"/\" + infoMap.get(\"maxplayers\"));\n }\n }","title":""},{"docid":"f662df5a5a92b4500b80718f1c57ee4a","score":"0.7043641","text":"@Override\n \tprotected void onPostExecute(List<String> result) {\n \t\tctx.clearCitiesAdapter();\n \t\tfor(String c : result){\n \t\t\tctx.addCity(c);\n \t\t}\n \t\tctx.notifyCityAdapter();\n \t\tctx.getSpinnerCity().setSelection(getSelection(result));\n \t\tctx.setLoadingProgress(LoadingProgress.CITIES_LOADED);\n \t}","title":""},{"docid":"86a38f565bc2fc4ce68cd4c43c50eea8","score":"0.7018875","text":"@Override\n protected void onPostExecute(String result) {\n super.onPostExecute(result);\n\n // Do things like hide the progress bar or change a TextView\n\n }","title":""},{"docid":"d8865c125b77adbf27cbe8f9881ddc86","score":"0.70008624","text":"@Override\n protected void onPostExecute(String result) {\n Log.d(\"resultQuery\", result);\n try\n {\n String tempData= \"\";\n JSONArray jsonarray = new JSONArray(result);\n if(jsonarray.length() > 0){\n for (int i = 0; i < jsonarray.length(); i++) {\n JSONObject obj = jsonarray.getJSONObject(i);\n if(!obj.has(\"query\")){\n String nomor = (obj.getString(\"nomor\"));\n String kode = (obj.getString(\"kode\"));\n String nama = (obj.getString(\"nama\"));\n String cantracked = (obj.getString(\"cantracked\"));\n\n if(nomor.equals(\"\")) nomor = \"null\";\n if(kode.equals(\"\")) kode = \"null\";\n if(nama.equals(\"\")) nama = \"null\";\n if(cantracked.equals(\"\")) cantracked = \"null\";\n\n tempData = tempData + nomor + \"~\" + kode + \"~\" + nama + \"~\" + cantracked + \"|\";\n }\n }\n if(!tempData.equals(LibInspira.getShared(global.datapreferences, global.data.userlist, \"\")))\n {\n LibInspira.setShared(\n global.datapreferences,\n global.data.userlist,\n tempData\n );\n refreshList();\n }\n }\n tvInformation.animate().translationYBy(-80);\n }\n catch(Exception e)\n {\n e.printStackTrace();\n tvInformation.animate().translationYBy(-80);\n }\n }","title":""},{"docid":"4030d0c1935dac7b92265ee793d8fe11","score":"0.6994963","text":"@Override\r\n\t\tprotected void onPostExecute(String result) {\n\t\t\tpd.dismiss();\r\n\r\n\t\t\t//operazioni di chiusura\r\n\t\t\tnot(result);\r\n\r\n\t\t}","title":""},{"docid":"681dfd8bc6164df5bb22535e4cf40a3f","score":"0.6986528","text":"protected void onPostExecute(List<ZpoVisitaFallida> resultado) {\n\t\t\tdismissProgressDialog();\n\t\t\tshowResultados(resultado);\n\t\t}","title":""},{"docid":"4cc9b2d474d31ae274149d5457fe8cef","score":"0.69786733","text":"@Override\n protected void onPostExecute(Result result) {\n if (result != null && mCallback != null) {\n if (result.mResultValue != null) {\n //Parse result value\n Object news;\n try {\n NewsParser newsParser;\n if(mContentType.contains(\"json\")) {\n newsParser = new NewsParserJson();\n } else if(mContentType.contains(\"xml\")) {\n newsParser = new NewsParserXml();\n } else {\n newsParser = new NewsParserHtml();\n }\n news = newsParser.parse(result.mResultValue);\n result.setResultObject(news);\n } catch (JSONException e) {\n result = new Result(e);\n } catch (XmlPullParserException e) {\n result = new Result(e);\n } catch (IOException e) {\n result = new Result(e);\n }\n }\n mCallback.updateFromDownload(result);\n mCallback.finishDownloading();\n }\n }","title":""},{"docid":"81a1ae9172c4d7efcb1cea74109d4067","score":"0.69761515","text":"@Override\n protected void onPostExecute(ArrayList<ApiResult> results) {\n pending.clear();\n completed.clear();\n completed.addAll(results);\n\n /**\n * Inform the tracker that fetching is completed.\n * */\n JotiApp.MainTracker.report(new Tracker.TrackerMessage(TRACKER_APIMANAGER_FETCHING_COMPLETED, \"ApiManager\", \"Fetching completed.\"));\n\n /**\n * Start result processing on the results.\n * */\n new StaticResultProcessingTask(ORIGIN_PREFORM).execute(results.toArray(new ApiResult[results.size()]));\n\n /**\n * Log what has been done, and what we are doing.\n * */\n Log.i(\"ApiManager\", \"ApiTask.onPostExecute() - started running StaticResultProcessingTask on results\");\n Log.i(\"ApiManager\", \"ApiTask.onPostExecute() - completed \" + results.size() + \" apiTasks\");\n }","title":""},{"docid":"92cc52623c7f08d2a0ddf8a13fd71c04","score":"0.6974206","text":"@Override\n\tprotected void onPostExecute(Object[] result) {\n\t\tif ((ProgressDialog) result[2] != null) {\n\t\t\t((ProgressDialog) result[2]).cancel();\n\t\t}\n\t\tif ((WebServiceResultHandler) result[3] != null) {\n\t\t\t((WebServiceResultHandler) result[3]).handleResult(\n\t\t\t\t\t(String) result[0], (Boolean) result[1]);\n\t\t}\n\t}","title":""},{"docid":"6087b1e992b515f137feadc277e3f0fd","score":"0.6963476","text":"@Override\n\t\tprotected void onPostExecute(String result) {\n\t\t\tLog.i(\"Response from server: \" , result);\n\t\t\t// showing the server response in an alert dialog\n\t\t\tshowAlert(result);\n\t\n\t\t\tsuper.onPostExecute(result);\n\t\t}","title":""},{"docid":"177e71ae8017c8c3a57a04a603b2d7ce","score":"0.69586736","text":"@Override\n protected void onPostExecute(String result) {\n pd.dismiss();\n //tvData.setText(result);\n Log.d(\"MAK\",\"Resp: \" + result);\n Toast.makeText(getApplicationContext(), result,Toast.LENGTH_LONG).show();\n }","title":""},{"docid":"c5a3d567377ac4fa32147a222306c3ce","score":"0.69536686","text":"@Override\n protected void onPostExecute(Object result) {\n if (mProgress != null && mProgress.isShowing()) {\n try {\n mProgress.dismiss();\n } catch (Exception e) {\n\n }\n }\n setupListView();\n\n }","title":""},{"docid":"5502866fc17152f9e7f05720d4bb2c7c","score":"0.69536304","text":"@Override\n protected void onPostExecute(String result) {\n textView.setText(result);\n }","title":""},{"docid":"63f65d41db8df35ce8de57860953b626","score":"0.6944795","text":"@Override\n protected void onPostExecute(String result) {\n ListViewLoaderTask listViewLoaderTask = new ListViewLoaderTask();\n Log.d(\"Sagar\", \"Post execute\");\n // Start parsing xml data\n listViewLoaderTask.execute(result); \n \n }","title":""},{"docid":"7327f31ce9d00076242383f11aa1f543","score":"0.6940901","text":"@Override\r\n\tprotected void onPostExecute(Void nothing) {\n\t}","title":""},{"docid":"728f25966bbd3c874a85aeef279d8752","score":"0.69383824","text":"@Override\n protected void onPostExecute(String result) {\n pdLoading.dismiss();\n\n if(netError == true) {\n netErrorDialog();\n }\n\n TextView numLikes = (TextView) findViewById(R.id.num_likes);\n numLikes.setText(String.valueOf(word.getNumLikes() + \"\\uD83D\\uDC4D\"));\n\n new LikeStatusTask().execute();\n }","title":""},{"docid":"dcf36266355323c4cec9961c89a5a178","score":"0.69376564","text":"public void onPostExecute(Void result) {\n this.mResultCallback.onWriteFinished(new PageRange[]{PageRange.ALL_PAGES});\n }","title":""},{"docid":"c62a770ad5592ecc16e8b613967f3737","score":"0.69281465","text":"@Override\n protected void onPostExecute(final Void result) {\n delegate.asyncComplete(request);\n super.onPostExecute(result);\n }","title":""},{"docid":"b7c409e9c450baaa5ed4834956852221","score":"0.6926314","text":"@Override\n protected void onPostExecute(String[] result){\n if (result != null){\n mBookAdapter.clear();\n for (String bookInfoStr : result){\n mBookAdapter.add(bookInfoStr);\n }\n }\n }","title":""}],"string":"[\n {\n \"docid\": \"c12a2700f79ef4b941c7f0fda21a03f8\",\n \"score\": \"0.8189538\",\n \"text\": \"@Override\\n protected void onPostExecute(List result)\\n {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"685bd4d07025d34317a89ef524d8a296\",\n \"score\": \"0.8155944\",\n \"text\": \"protected void onPostExecute(Object result) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6c4c7a7830cb9f4afd2406b3cebbbabb\",\n \"score\": \"0.8057811\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2fa9693a578326e6c7d7ed363bdfa15f\",\n \"score\": \"0.8054577\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3520b44ec8535573fec806c35c1b6d53\",\n \"score\": \"0.80499816\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"06f130c02d52f626b7f283945b27508a\",\n \"score\": \"0.8024873\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a599193bb833337441e07a890c58942b\",\n \"score\": \"0.7885751\",\n \"text\": \"@Override\\nprotected void onPostExecute(ArrayList<Hiragana> result) {\\n\\tsuper.onPostExecute(result);\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cab91b00b288e60ec3f97e86a4575c2a\",\n \"score\": \"0.7871087\",\n \"text\": \"protected void onPostExecute(Long result) {\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9a7decde9f7483e899fd9300bc4ca175\",\n \"score\": \"0.7863878\",\n \"text\": \"protected void onPostExecute() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99578bb5d48272b6c4fde5358758cfea\",\n \"score\": \"0.7835381\",\n \"text\": \"@Override\\n\\tprotected void onPostExecute(Void v){}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5d7e328e25c31d44f983cce2488091bc\",\n \"score\": \"0.77770174\",\n \"text\": \"protected void onPostExecute() {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd8d4246c9b2a0f14a4b3109ab050d53\",\n \"score\": \"0.77374846\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n delegate.processFinish(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d7a57cfcf607d065b7399ef5a78867f\",\n \"score\": \"0.77340424\",\n \"text\": \"@Override\\n protected void onPostExecute(Void res) {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"598527ed7be560a803c18ee75d5419e1\",\n \"score\": \"0.7712234\",\n \"text\": \"@Override\\n protected void onPostExecute(Void res) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db9d68aba0e9520fb5c35a412ca3cbd1\",\n \"score\": \"0.7660098\",\n \"text\": \"@Override\\n protected void onPostExecute(Void unused) {\\n\\n\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d3cf916bd73e09d3ddb1bde4dac49c55\",\n \"score\": \"0.7647512\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n \\tj.showres(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"00372075768a41d131490057582952d2\",\n \"score\": \"0.7618806\",\n \"text\": \"@Override\\n\\tprotected void onPostExecute(ArrayList<Integer> result)\\n\\t{\\n\\t\\tsuper.onPostExecute(result);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db216c8c1d2fcb23a2704066c43281ab\",\n \"score\": \"0.7614194\",\n \"text\": \"protected void onPostExecute(Integer result) {\\n delegate.processFinish(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"920fbf906b4718cabc2f650d260b24f4\",\n \"score\": \"0.760578\",\n \"text\": \"@Override\\n protected void onPostExecute(Boolean result) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad445d7287fed63ab313a037303031b0\",\n \"score\": \"0.75956255\",\n \"text\": \"protected void onPostExecute( ArrayList<Map<String, Object>> result) \\r\\n\\t{\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"16b83bcaa14ec38b6936448775ab40d0\",\n \"score\": \"0.75557727\",\n \"text\": \"@Override\\n protected void onPostExecute(Boolean result) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"37954204a95ce7994706211e13cbc9b8\",\n \"score\": \"0.7524006\",\n \"text\": \"@Override\\r\\n protected void onPostExecute(Void unused) {\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ade4c9abd4a5e977a6aab9378865dcf1\",\n \"score\": \"0.74879354\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n super.onPostExecute(result);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"841bfd93b83dfeef633a52c01d2b005c\",\n \"score\": \"0.74723357\",\n \"text\": \"public void onPostExecute(String fromDoInBackground) {\\n //Log.i(\\\"HTTP\\\", fromDoInBackground);\\n super.onPostExecute(fromDoInBackground);\\n mProgressBar.setVisibility(View.VISIBLE);\\n\\n// TextView t = findViewById(R.id.temp);\\n// t.setText(baseURL+searchText);\\n\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9ecc3f74474c4129ca3a77508690759a\",\n \"score\": \"0.7454366\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n Log.i(\\\"onPostExecute\\\", result);\\n updateUI();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e895af80e606f535be5e12b593705f16\",\n \"score\": \"0.7454333\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n Log.d(\\\"GooglePlacesReadTask\\\", \\\"onPostExecute Entered\\\");\\n List<DataParser> nearbyPlacesList;\\n DataParser dataParser = new DataParser();\\n nearbyPlacesList = dataParser.parse(result, MainActivity.caseToParse);\\n showNearbyPlaces(nearbyPlacesList);\\n Log.d(\\\"GooglePlacesReadTask\\\", \\\"onPostExecute Exit\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2780d2ecb66daa124f180756b6c1251f\",\n \"score\": \"0.7446329\",\n \"text\": \"protected void onPostExecute(ArrayList<HashMap<String, String>> result) {\\n\\t populateListView(result);\\t\\t \\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db9f376d60243f65f89a3aac9e387393\",\n \"score\": \"0.7443732\",\n \"text\": \"@Override\\n\\t\\tprotected void onPostExecute(Void result) {\\n\\t\\t\\tsuper.onPostExecute(result);\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2128eab06cba77b26bd5462f51ad1723\",\n \"score\": \"0.7421076\",\n \"text\": \"protected void onPostExecute(String result) {\\n onEndPost.Finish(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9c79fe638799d530203858837f60d6f5\",\n \"score\": \"0.7420704\",\n \"text\": \"@Override\\r\\n protected void onPostExecute(String result){\\r\\n \\r\\n // Instantiating ParserTask which parses the json data from Geocoding webservice\\r\\n // in a non-ui thread\\r\\n \\tdestinationParserTask parserTask = new destinationParserTask();\\r\\n \\r\\n // Start parsing the places in JSON format\\r\\n // Invokes the \\\"doInBackground()\\\" method of the class ParseTask\\r\\n parserTask.execute(result);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f062607a3a2626cf2ce03caa6d66c341\",\n \"score\": \"0.74053526\",\n \"text\": \"@Override\\n protected void onPostExecute(AsyncTaskResult<String> result) {\\n mOwner.getResult(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3e5f11e2906662305507b13898ec86b0\",\n \"score\": \"0.74004465\",\n \"text\": \"@Override\\n\\tprotected void onPostExecute(Void result) {\\n\\t\\tsuper.onPostExecute(result);\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6be337c836eba80c94de57b9098d652a\",\n \"score\": \"0.738815\",\n \"text\": \"@Override\\r\\n protected void onPostExecute(String result){\\r\\n \\r\\n // Instantiating ParserTask which parses the json data from Geocoding webservice\\r\\n // in a non-ui thread\\r\\n ParserTask parserTask = new ParserTask();\\r\\n \\r\\n // Start parsing the places in JSON format\\r\\n // Invokes the \\\"doInBackground()\\\" method of the class ParseTask\\r\\n parserTask.execute(result);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0f9a93bc11fadaeddeaec25af85bf78c\",\n \"score\": \"0.7380358\",\n \"text\": \"@Override\\n \\t\\tprotected void onPostExecute(Boolean result) {\\n \\t\\t\\tsuper.onPostExecute(result);\\n \\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8e768b424e7b34c769dc2e9b4fb04161\",\n \"score\": \"0.737093\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n\\n //Toast.makeText(getApplicationContext(), \\\"Los datos se almacenaron correctamente\\\", Toast.LENGTH_SHORT).show();\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0aab08057862c14b1c3c0683d17ee41a\",\n \"score\": \"0.73511547\",\n \"text\": \"@Override\\r\\n\\t\\tprotected void onPostExecute(String result) {\\n\\t\\t\\tsuper.onPostExecute(result);\\r\\n//\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tLog.d(\\\"new asynctask\\\", \\\"post exe 1\\\");\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tLog.i(\\\"final\\\", result);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tsendsms(ph_no, result);\\r\\n\\r\\n\\t\\t\\t\\r\\n\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"915b79d6bec017d40d424b41c1b84ce6\",\n \"score\": \"0.734527\",\n \"text\": \"@Override\\n protected void onPostExecute(Void result) {\\n super.onPostExecute(result);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"111398ec060cae23837e45b48a931dc7\",\n \"score\": \"0.73376036\",\n \"text\": \"@Override\\n protected void onPostExecute(Integer integer) {\\n Toast.makeText(MainActivity.this,\\\"total \\\"+result+\\\" articles found\\\",Toast.LENGTH_LONG).show();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1412dbcea3e0d8f6c396ca81a4587b1a\",\n \"score\": \"0.73233694\",\n \"text\": \"@Override\\n\\t\\tprotected void onPostExecute(String result) {\\n\\t\\t\\tsuper.onPostExecute(result);\\n\\t\\t\\tprocessParsingJson();\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1f18f8f0a44457edd799b634af6b603f\",\n \"score\": \"0.73213816\",\n \"text\": \"protected void onPostExecute(String result)\\n {\\n finished=result;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e51601489c3bf54ea8f96dbe0b1b1de3\",\n \"score\": \"0.7321057\",\n \"text\": \"@Override\\n protected void onPostExecute(Void result) {\\n super.onPostExecute(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e51601489c3bf54ea8f96dbe0b1b1de3\",\n \"score\": \"0.7321057\",\n \"text\": \"@Override\\n protected void onPostExecute(Void result) {\\n super.onPostExecute(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e51601489c3bf54ea8f96dbe0b1b1de3\",\n \"score\": \"0.7321057\",\n \"text\": \"@Override\\n protected void onPostExecute(Void result) {\\n super.onPostExecute(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a023a309ad40e95e5f090332ecfd733\",\n \"score\": \"0.7312924\",\n \"text\": \"@Override\\n protected void onPostExecute(ArrayList<String> arrayList) {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bf1281160c26f77bc6d2ccc1a240d210\",\n \"score\": \"0.7297695\",\n \"text\": \"@Override\\n\\t\\tprotected void onPostExecute(String result) {\\n\\t\\t\\tLog.i(TAG, result);\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6a0ed717803e9b164bc1550e05caed10\",\n \"score\": \"0.72872305\",\n \"text\": \"@Override\\n protected void onPostExecute(Void result) {\\n super.onPostExecute(result);\\n dialog.dismiss();\\n loadList();\\n // tv.setText(\\\"Completed the task, and the result is : \\\" + myData);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aa8b1bdd64f09bc8ccdba530ee84611b\",\n \"score\": \"0.7263489\",\n \"text\": \"@Override\\n protected void onPostExecute(WAQueryResult response) {\\n if (queryResult.isError()) {\\n Log.i(TAG, \\\"Query error\\\");\\n Log.i(TAG, \\\" error code: \\\" + queryResult.getErrorCode());\\n Log.i(TAG, \\\" error message: \\\" + queryResult.getErrorMessage());\\n } else if (!queryResult.isSuccess()) {\\n Log.i(TAG, \\\"Query was not understood; no results available.\\\");\\n } else {\\n // Got a result.\\n Log.i(TAG, \\\"Successful query. Pods follow:\\\\n\\\");\\n for (WAPod pod : queryResult.getPods()) {\\n if (!pod.isError()) {\\n Log.i(TAG, pod.getTitle());\\n Log.i(TAG, \\\"------------\\\");\\n for (WASubpod subpod : pod.getSubpods()) {\\n for (Object element : subpod.getContents()) {\\n if (element instanceof WAPlainText) {\\n Log.i(TAG, ((WAPlainText) element).getText());\\n }\\n }\\n }\\n }\\n }\\n\\n WAPod stats = queryResult.getPods()[0];\\n WASubpod stat = stats.getSubpods()[0];\\n for (Object element : stat.getContents()) {\\n if (element instanceof WAPlainText) {\\n mean = ((WAPlainText) element).getText();\\n txtAvgKillTime = (TextView) findViewById(R.id.avgKillTimeNumber);\\n txtAvgKillTime.setText(mean.substring(7, 12) + \\\" hrs.\\\"); // removes the mean | part from the value\\n break;\\n }\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"25f732bcf1a18c4d76c31d4d1b22a28a\",\n \"score\": \"0.7259687\",\n \"text\": \"@Override\\r\\n\\tprotected void onPostExecute(JSONObject result) {\\n\\t\\tsuper.onPostExecute(result);\\r\\n\\r\\n\\t\\t\\r\\n\\t\\tif (result != null)\\r\\n\\t\\t\\tasynkTaskCommunicationInterface.doPostExecuteForCommu(result);\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ee6900a1c432cdacf4db5bb554035dba\",\n \"score\": \"0.72420806\",\n \"text\": \"@Override\\n protected void onPostExecute(String result)\\n {\\n super.onPostExecute(result);\\n \\n ParserTask parserTask = new ParserTask();\\n \\n // Invokes the thread for parsing the JSON data\\n parserTask.execute(result);\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9a373728cb4e0c29a37e38137896b1e7\",\n \"score\": \"0.7233477\",\n \"text\": \"@Override\\n \\tprotected void onPostExecute(Void result){\\n \\t\\tcontext.displaySolutions(solutionList);\\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef1de002f1f40339afb8297a3ef407a9\",\n \"score\": \"0.7232746\",\n \"text\": \"@Override\\n protected void onPostExecute(Boolean result) {\\n super.onPostExecute(result);\\n if (result) {\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"766775e82be75e8e8f9c465c8b0ea2de\",\n \"score\": \"0.72178715\",\n \"text\": \"protected void onPostExecute(List<Encounter> result) {\\n StableArrayAdapter arrayAdapter = new StableArrayAdapter(EncounterListActivity.this, result);\\n ListView encounterList = (ListView) findViewById(R.id.encounterList);\\n encounterList.setAdapter(arrayAdapter);\\n\\n ringProgressDialog.dismiss();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"011fbb69cef812211834ed85d55bca8c\",\n \"score\": \"0.7213901\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n Log.d(\\\"result\\\", \\\"<><> result: \\\" + result);\\n ParserTask parserTask = new ParserTask();\\n\\n // Start parsing the Google places in JSON format\\n // Invokes the \\\"doInBackground()\\\" method of the class ParserTask\\n parserTask.execute(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"37a2e1b63961650d14dc5c2966b7c454\",\n \"score\": \"0.72069454\",\n \"text\": \"public abstract void onPostExecuteGuarded(Result result);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"237252ee55638529b67596558ff03030\",\n \"score\": \"0.7197836\",\n \"text\": \"@Override\\n\\t\\tprotected void onPostExecute(ArrayList<GalleryItem> result) {\\n\\t\\t\\t\\n\\t\\t\\tmItems = result;\\n\\t\\t\\tsetupAdapter();\\n\\t\\t\\t\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"310823f52bf0a7caa013ffe018e7252d\",\n \"score\": \"0.7194536\",\n \"text\": \"@Override\\n\\t\\t\\tprotected void onPostExecute(String result) {\\n\\t\\t\\t\\tadapter.notifyDataSetChanged();\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6bfac16443ac83a93799f58ae4c70026\",\n \"score\": \"0.71827906\",\n \"text\": \"@Override\\n protected void onPostExecute(Void result) {\\n Log.d(\\\"onPostExecute\\\", \\\"OK READY\\\");\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b200648a506b0854f0f5308a691b1c97\",\n \"score\": \"0.7160119\",\n \"text\": \"protected void onPostExecute(ArrayList<Params> result) {\\n\\t\\tsuper.onPostExecute(result);\\n\\t\\tprogressDialog.dismiss();\\n\\t\\tMessage msg = new Message();\\n\\t\\tBundle b= new Bundle();\\n\\t\\tb.putParcelableArrayList(\\\"DATA\\\", result);\\n\\t\\tLog.d(\\\"data\\\", String.valueOf(result.size()));\\n\\t\\tmsg.setData(b);\\n\\t\\tListView_Deals1.handler.sendMessage(msg);\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1fea7b7af585a32a4f5e79730cadb568\",\n \"score\": \"0.71470016\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n \\tj.updateslots(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f7097617e3f7eecd72b77aabed822e4\",\n \"score\": \"0.7133196\",\n \"text\": \"protected void onPostExecute(String result) {\\n super.onPostExecute(result);\\n\\n ParserTask parserTask = new ParserTask();\\n // Invokes the thread for parsing the JSON data\\n parserTask.execute(result);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bfc89f701bd321d0eb7410c2e2170ac2\",\n \"score\": \"0.7132938\",\n \"text\": \"@Override\\n\\tprotected void onPostExecute(List<InspectionTask> result) {\\n\\t\\tsuper.onPostExecute(result);\\n\\t\\tif(mCallBack != null) {\\n\\t\\t\\tmCallBack.callBackResult(result);\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"98c37c340b10fb22c9849053560f7a8c\",\n \"score\": \"0.7132885\",\n \"text\": \"@Override\\n protected void onPostExecute(Bitmap result) {\\n /*ImageView imageView = (ImageView) findViewById(R.id.listitem);\\n imageView.setImageBitmap(result);*/\\n getdata(result);\\n bindfragmentwithadapter();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"85b441df29bd93d71c8604ba7906114e\",\n \"score\": \"0.71191615\",\n \"text\": \"protected void onPostExecute(String result) {\\n //pDialog.dismiss();//ocultamos progess dialog.\\n Log.e(\\\"onPostExecute=\\\", \\\"\\\" + result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9a84dbaf9bc8325b42d1d51b0a698349\",\n \"score\": \"0.71142185\",\n \"text\": \"@Override\\n protected void onPostExecute(Void result) {\\n gridview = (GridView) rootView.findViewById(R.id.gridview);\\n // Pass the results into ListViewAdapter.java\\n adapter = new FeedsGridAdapter(FeedsFragment.this.getContext(),\\n phonearraylist);\\n adapter.notifyDataSetChanged();\\n // Binds the Adapter to the ListView\\n gridview.setAdapter(adapter);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b8aafd14fd98bcb95db47385ad33e9ca\",\n \"score\": \"0.7113635\",\n \"text\": \"protected void onPostExecute(String param) {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd58ffc1b08fd2dc75b6f8c16be0ce80\",\n \"score\": \"0.71101665\",\n \"text\": \"@Override\\n protected void onPostExecute(Void result) {\\n super.onPostExecute(result);\\n dialog.dismiss();\\n // tv.setText(\\\"Completed the task, and the result is : \\\" + myData);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"133c39475686603bfd1821dcc2013c66\",\n \"score\": \"0.71034336\",\n \"text\": \"@Override\\n\\t protected void onPostExecute(String result) { // \\n\\t Toast.makeText(StatusActivity.this, result, Toast.LENGTH_LONG).show();\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e7fe668ff000f1c2e3a75a8850269c16\",\n \"score\": \"0.70993763\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n super.onPostExecute(result);\\n\\n ParserTask parserTask = new ParserTask();\\n // Invokes the thread for parsing the JSON data\\n parserTask.execute(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e149202d5833c9848cdfa7256511937a\",\n \"score\": \"0.7090572\",\n \"text\": \"@Override\\n\\tprotected void onPostExecute( Map<String, Object> result) {\\n\\t\\tsuper.onPostExecute(result);\\n\\n\\t\\tif (progressdialog != null && progressdialog.isShowing()) {\\n\\t\\t\\tprogressdialog.dismiss();\\n\\t\\t}\\n\\t\\tif (bookshelfdata != null) \\n\\t\\t{\\n//\\t\\t\\t ((BookShelfActivity)context).refreshView(bookshelfdata);\\n\\t\\t\\t\\n//\\t\\t\\tIntent intent = new Intent(context, BookShelfActivity.class);\\n//\\t\\t\\t\\n//\\t\\t\\tLog.i(\\\"PLJ\\\", \\\"bookshelfdata++==>\\\"+bookshelfdata);\\n//\\t\\t\\t\\n//\\t\\t\\tintent.putExtra(\\\"bookshelfdata\\\", bookshelfdata);\\n//\\t\\t\\t((Activity)context).startActivity(intent);\\n\\t\\t}\\n\\t\\telse \\n\\t\\t{\\n\\t\\t\\tToast.makeText(context,\\n\\t\\t\\t\\t\\tcontext.getResources().getString(R.string.userinfoerror),\\n\\t\\t\\t\\t\\tToast.LENGTH_LONG).show();\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c3047484e1f617028a6d1fbfaf7efd88\",\n \"score\": \"0.70902455\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n Toast.makeText(MainActivity.this, result, Toast.LENGTH_LONG).show();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"75104228e3f0c9361bb305837cc7c437\",\n \"score\": \"0.70889443\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n super.onPostExecute(result);\\n\\n ParserTask parserTask = new ParserTask();\\n\\n // Invokes the thread for parsing the JSON data\\n parserTask.execute(result);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"75104228e3f0c9361bb305837cc7c437\",\n \"score\": \"0.70889443\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n super.onPostExecute(result);\\n\\n ParserTask parserTask = new ParserTask();\\n\\n // Invokes the thread for parsing the JSON data\\n parserTask.execute(result);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"75104228e3f0c9361bb305837cc7c437\",\n \"score\": \"0.70889443\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n super.onPostExecute(result);\\n\\n ParserTask parserTask = new ParserTask();\\n\\n // Invokes the thread for parsing the JSON data\\n parserTask.execute(result);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"11c21bf098aa1dc9ae48543a271eedc0\",\n \"score\": \"0.7088166\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n super.onPostExecute(result);\\n ParserTask parserTask = new ParserTask();\\n // Invokes the thread for parsing the JSON data\\n parserTask.execute(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a33326d373a2c9423c216217ba062e6\",\n \"score\": \"0.7086833\",\n \"text\": \"protected void onPostExecute(String file_url) {\\n // dismiss the dialog after getting all products\\n //pDialog.dismiss();\\n // updating UI from Background Thread\\n runOnUiThread(new Runnable() {\\n public void run() {\\n /**\\n * Updating parsed JSON data into ListView\\n * */\\n \\tadapter = new CustomAdapter(getApplicationContext(), ResidenceList);\\n \\t\\t\\n \\t\\tResidence.setAdapter(adapter);\\n \\n }\\n });\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d19710edf495c040dad834fc226b3d7d\",\n \"score\": \"0.7081351\",\n \"text\": \"@Override\\n\\tprotected void onPostExecute(String response) {\\n\\t\\t\\n\\t\\ttry {\\n\\t\\t\\tJSONObject jsonObj = new JSONObject(response);\\n\\t\\t\\t\\n\\t\\t\\tmListener.onSearchResults(getResults(jsonObj.getJSONObject(\\\"responseData\\\")));\\n\\t\\t\\t\\n\\t\\t\\t//JSONObject jsonObj = jsonObj.getJSONObject(\\\"responseData\\\");\\n\\t\\t\\t//JSONObject jCursor = jsonObj.getJSONObject(\\\"cursor\\\");\\n\\t\\t\\t//if(jCursor.has(\\\"pages\\\")) {\\n\\t\\t\\t//\\tJSONArray jPages = jCursor.getJSONArray(\\\"pages\\\");\\n\\t\\t\\t//}\\n\\t\\t} catch (JSONException e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\t \\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"02dbf1aea46425165e8b246eae9f70a7\",\n \"score\": \"0.70767266\",\n \"text\": \"@Override\\r\\n protected void onPostExecute(String result) {\\r\\n super.onPostExecute(result);\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n // Do things like hide the progress bar or change a TextView\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6fd74252dda62578c59f5f084d888c5\",\n \"score\": \"0.7070145\",\n \"text\": \"@Override\\n protected void onPostExecute(String s) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"47b160f48c8e2ffdbc69022e196e1a00\",\n \"score\": \"0.70620346\",\n \"text\": \"@Override\\n\\t\\t\\tprotected void onPostExecute(ArrayList<String[]> result) {\\n\\t\\t\\t ArrayList<String[]> itemsList = result;\\n\\t\\t\\t \\n\\t\\t\\t for (int i=0;i<itemsList.size();i++){\\n\\t\\t EpisodeCard card = new EpisodeCard(getActivity(),itemsList.get(i)[0],itemsList.get(i)[1],itemsList.get(i)[2],itemsList.get(i)[3],itemsList.get(i)[4], itemsList.get(i)[5], getActivity());\\n\\t\\t cards.add(card);\\n\\t\\t }\\n\\t\\t\\t \\n\\t\\t mCardArrayAdapter = new CardArrayAdapter(getActivity(),cards);\\n\\n\\t\\t listView = (CardListView) getActivity().findViewById(R.id.announce_list_cards);\\n\\t\\t if (listView!=null){\\n\\t\\t listView.setAdapter(mCardArrayAdapter);\\n\\t\\t }\\n\\t\\t\\t\\t\\n\\t\\t ef.getActivity().runOnUiThread(new Runnable() {\\n\\t public void run() {\\n\\t // some code #3 (that needs to be ran in UI thread)\\n\\t \\t //mCardArrayAdapter.addAll(cards);\\n\\t \\t\\n\\t \\t //listView.invalidateViews();\\n\\t \\tef.getActivity().setProgressBarIndeterminateVisibility(false);\\n\\t }\\n\\t });\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a23944f10ad62104b2f801145d2d422e\",\n \"score\": \"0.7059567\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n super.onPostExecute(result);\\n\\n ParserTask parserTask = new ParserTask();\\n\\n // Invokes the thread for parsing the JSON data\\n parserTask.execute(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a23944f10ad62104b2f801145d2d422e\",\n \"score\": \"0.7059567\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n super.onPostExecute(result);\\n\\n ParserTask parserTask = new ParserTask();\\n\\n // Invokes the thread for parsing the JSON data\\n parserTask.execute(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"64366e5a5b2914be5d7405dc98cba196\",\n \"score\": \"0.7050036\",\n \"text\": \"public void onPostExecute(ArrayMap<String, ArrayMap<String, String>> result) {\\n TableLayout table = findViewById(R.id.tableview);\\n for(int i = 0, j = table.getChildCount(); i < j; i++) {\\n TableRow row = (TableRow) table.getChildAt(i);\\n String text = (String) ((TextView) row.getChildAt(0)).getText();\\n ArrayMap<String, String> infoMap = result.get(text);\\n // Somewhat hardcoded\\n ((TextView)row.getChildAt(1)).setText(infoMap.get(\\\"mapname\\\"));\\n ((TextView)row.getChildAt(2)).setText(infoMap.get(\\\"numplayers\\\") + \\\"/\\\" + infoMap.get(\\\"maxplayers\\\"));\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f662df5a5a92b4500b80718f1c57ee4a\",\n \"score\": \"0.7043641\",\n \"text\": \"@Override\\n \\tprotected void onPostExecute(List<String> result) {\\n \\t\\tctx.clearCitiesAdapter();\\n \\t\\tfor(String c : result){\\n \\t\\t\\tctx.addCity(c);\\n \\t\\t}\\n \\t\\tctx.notifyCityAdapter();\\n \\t\\tctx.getSpinnerCity().setSelection(getSelection(result));\\n \\t\\tctx.setLoadingProgress(LoadingProgress.CITIES_LOADED);\\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86a38f565bc2fc4ce68cd4c43c50eea8\",\n \"score\": \"0.7018875\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n super.onPostExecute(result);\\n\\n // Do things like hide the progress bar or change a TextView\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d8865c125b77adbf27cbe8f9881ddc86\",\n \"score\": \"0.70008624\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n Log.d(\\\"resultQuery\\\", result);\\n try\\n {\\n String tempData= \\\"\\\";\\n JSONArray jsonarray = new JSONArray(result);\\n if(jsonarray.length() > 0){\\n for (int i = 0; i < jsonarray.length(); i++) {\\n JSONObject obj = jsonarray.getJSONObject(i);\\n if(!obj.has(\\\"query\\\")){\\n String nomor = (obj.getString(\\\"nomor\\\"));\\n String kode = (obj.getString(\\\"kode\\\"));\\n String nama = (obj.getString(\\\"nama\\\"));\\n String cantracked = (obj.getString(\\\"cantracked\\\"));\\n\\n if(nomor.equals(\\\"\\\")) nomor = \\\"null\\\";\\n if(kode.equals(\\\"\\\")) kode = \\\"null\\\";\\n if(nama.equals(\\\"\\\")) nama = \\\"null\\\";\\n if(cantracked.equals(\\\"\\\")) cantracked = \\\"null\\\";\\n\\n tempData = tempData + nomor + \\\"~\\\" + kode + \\\"~\\\" + nama + \\\"~\\\" + cantracked + \\\"|\\\";\\n }\\n }\\n if(!tempData.equals(LibInspira.getShared(global.datapreferences, global.data.userlist, \\\"\\\")))\\n {\\n LibInspira.setShared(\\n global.datapreferences,\\n global.data.userlist,\\n tempData\\n );\\n refreshList();\\n }\\n }\\n tvInformation.animate().translationYBy(-80);\\n }\\n catch(Exception e)\\n {\\n e.printStackTrace();\\n tvInformation.animate().translationYBy(-80);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4030d0c1935dac7b92265ee793d8fe11\",\n \"score\": \"0.6994963\",\n \"text\": \"@Override\\r\\n\\t\\tprotected void onPostExecute(String result) {\\n\\t\\t\\tpd.dismiss();\\r\\n\\r\\n\\t\\t\\t//operazioni di chiusura\\r\\n\\t\\t\\tnot(result);\\r\\n\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"681dfd8bc6164df5bb22535e4cf40a3f\",\n \"score\": \"0.6986528\",\n \"text\": \"protected void onPostExecute(List<ZpoVisitaFallida> resultado) {\\n\\t\\t\\tdismissProgressDialog();\\n\\t\\t\\tshowResultados(resultado);\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4cc9b2d474d31ae274149d5457fe8cef\",\n \"score\": \"0.69786733\",\n \"text\": \"@Override\\n protected void onPostExecute(Result result) {\\n if (result != null && mCallback != null) {\\n if (result.mResultValue != null) {\\n //Parse result value\\n Object news;\\n try {\\n NewsParser newsParser;\\n if(mContentType.contains(\\\"json\\\")) {\\n newsParser = new NewsParserJson();\\n } else if(mContentType.contains(\\\"xml\\\")) {\\n newsParser = new NewsParserXml();\\n } else {\\n newsParser = new NewsParserHtml();\\n }\\n news = newsParser.parse(result.mResultValue);\\n result.setResultObject(news);\\n } catch (JSONException e) {\\n result = new Result(e);\\n } catch (XmlPullParserException e) {\\n result = new Result(e);\\n } catch (IOException e) {\\n result = new Result(e);\\n }\\n }\\n mCallback.updateFromDownload(result);\\n mCallback.finishDownloading();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"81a1ae9172c4d7efcb1cea74109d4067\",\n \"score\": \"0.69761515\",\n \"text\": \"@Override\\n protected void onPostExecute(ArrayList<ApiResult> results) {\\n pending.clear();\\n completed.clear();\\n completed.addAll(results);\\n\\n /**\\n * Inform the tracker that fetching is completed.\\n * */\\n JotiApp.MainTracker.report(new Tracker.TrackerMessage(TRACKER_APIMANAGER_FETCHING_COMPLETED, \\\"ApiManager\\\", \\\"Fetching completed.\\\"));\\n\\n /**\\n * Start result processing on the results.\\n * */\\n new StaticResultProcessingTask(ORIGIN_PREFORM).execute(results.toArray(new ApiResult[results.size()]));\\n\\n /**\\n * Log what has been done, and what we are doing.\\n * */\\n Log.i(\\\"ApiManager\\\", \\\"ApiTask.onPostExecute() - started running StaticResultProcessingTask on results\\\");\\n Log.i(\\\"ApiManager\\\", \\\"ApiTask.onPostExecute() - completed \\\" + results.size() + \\\" apiTasks\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"92cc52623c7f08d2a0ddf8a13fd71c04\",\n \"score\": \"0.6974206\",\n \"text\": \"@Override\\n\\tprotected void onPostExecute(Object[] result) {\\n\\t\\tif ((ProgressDialog) result[2] != null) {\\n\\t\\t\\t((ProgressDialog) result[2]).cancel();\\n\\t\\t}\\n\\t\\tif ((WebServiceResultHandler) result[3] != null) {\\n\\t\\t\\t((WebServiceResultHandler) result[3]).handleResult(\\n\\t\\t\\t\\t\\t(String) result[0], (Boolean) result[1]);\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6087b1e992b515f137feadc277e3f0fd\",\n \"score\": \"0.6963476\",\n \"text\": \"@Override\\n\\t\\tprotected void onPostExecute(String result) {\\n\\t\\t\\tLog.i(\\\"Response from server: \\\" , result);\\n\\t\\t\\t// showing the server response in an alert dialog\\n\\t\\t\\tshowAlert(result);\\n\\t\\n\\t\\t\\tsuper.onPostExecute(result);\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"177e71ae8017c8c3a57a04a603b2d7ce\",\n \"score\": \"0.69586736\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n pd.dismiss();\\n //tvData.setText(result);\\n Log.d(\\\"MAK\\\",\\\"Resp: \\\" + result);\\n Toast.makeText(getApplicationContext(), result,Toast.LENGTH_LONG).show();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c5a3d567377ac4fa32147a222306c3ce\",\n \"score\": \"0.69536686\",\n \"text\": \"@Override\\n protected void onPostExecute(Object result) {\\n if (mProgress != null && mProgress.isShowing()) {\\n try {\\n mProgress.dismiss();\\n } catch (Exception e) {\\n\\n }\\n }\\n setupListView();\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5502866fc17152f9e7f05720d4bb2c7c\",\n \"score\": \"0.69536304\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n textView.setText(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"63f65d41db8df35ce8de57860953b626\",\n \"score\": \"0.6944795\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n ListViewLoaderTask listViewLoaderTask = new ListViewLoaderTask();\\n Log.d(\\\"Sagar\\\", \\\"Post execute\\\");\\n // Start parsing xml data\\n listViewLoaderTask.execute(result); \\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7327f31ce9d00076242383f11aa1f543\",\n \"score\": \"0.6940901\",\n \"text\": \"@Override\\r\\n\\tprotected void onPostExecute(Void nothing) {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"728f25966bbd3c874a85aeef279d8752\",\n \"score\": \"0.69383824\",\n \"text\": \"@Override\\n protected void onPostExecute(String result) {\\n pdLoading.dismiss();\\n\\n if(netError == true) {\\n netErrorDialog();\\n }\\n\\n TextView numLikes = (TextView) findViewById(R.id.num_likes);\\n numLikes.setText(String.valueOf(word.getNumLikes() + \\\"\\\\uD83D\\\\uDC4D\\\"));\\n\\n new LikeStatusTask().execute();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dcf36266355323c4cec9961c89a5a178\",\n \"score\": \"0.69376564\",\n \"text\": \"public void onPostExecute(Void result) {\\n this.mResultCallback.onWriteFinished(new PageRange[]{PageRange.ALL_PAGES});\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c62a770ad5592ecc16e8b613967f3737\",\n \"score\": \"0.69281465\",\n \"text\": \"@Override\\n protected void onPostExecute(final Void result) {\\n delegate.asyncComplete(request);\\n super.onPostExecute(result);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b7c409e9c450baaa5ed4834956852221\",\n \"score\": \"0.6926314\",\n \"text\": \"@Override\\n protected void onPostExecute(String[] result){\\n if (result != null){\\n mBookAdapter.clear();\\n for (String bookInfoStr : result){\\n mBookAdapter.add(bookInfoStr);\\n }\\n }\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992494,"cells":{"query_id":{"kind":"string","value":"9e05b451029c38ef068d0d3cd636813a"},"query":{"kind":"string","value":"Sets an object declared in the rule complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1."},"positive_passages":{"kind":"list like","value":[{"docid":"40574e0cd53645232b872fde0685ee87","score":"0.7393025","text":"private void setObject_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""}],"string":"[\n {\n \"docid\": \"40574e0cd53645232b872fde0685ee87\",\n \"score\": \"0.7393025\",\n \"text\": \"private void setObject_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"f15e6b2c9db3c2df25bee1afc64bd79b","score":"0.7401507","text":"private void setObjects_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"1a4a8a2b5c4ab5f8d601850fa054e108","score":"0.6764712","text":"private void setObjects_complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"50f466ccaac931ff2aa3fcfe0a2bfb2f","score":"0.67145175","text":"private void setObject_complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"1da4280376a0a00b7e626df753d3d6bc","score":"0.65664244","text":"private void setObject_constrainInterpretation01_PATH_1_GOAL_1_COMPONENT_txtParcela1_0(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"d121b6da2f6f6fdfc8f268c4aeb2f5bc","score":"0.6468284","text":"private Object[] getObjects_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1() {\r\n return new Object[] {\r\n module_entity_Action_1,\r\n module_entity_MERFunction_1,\r\n module_entity_RuleToHuman_1\r\n };\r\n }","title":""},{"docid":"2d4b52e9fe3814646f9b874561f5e571","score":"0.64184225","text":"private void setObjects_constrainInterpretation01_PATH_1_GOAL_1_COMPONENT_txtParcela1_0(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"c6748e17f3ad2034e055a3a9038f8312","score":"0.6315937","text":"private Object getObject_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(int index) {\r\n switch (index) {\r\n case 0: return module_entity_Action_1;\r\n case 1: return module_entity_MERFunction_1;\r\n case 2: return module_entity_RuleToHuman_1;\r\n default: return null;\r\n }\r\n }","title":""},{"docid":"1b282e63dd24c7de1ac8ebf800e37841","score":"0.6099325","text":"private void setObject_constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"ac187225bf95e0a935428c765c0d7b5d","score":"0.60554117","text":"private void complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1() {\n\t\t\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \"Regra acionada para classificar a Função da MRE: complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_ \\n\");\n\t\t\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \" Condições: \\n\");\n\t\t\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \" \\t Tipo de Erro = Interpretação Equivocada \\n\");\n\t\t\tmodule_entity_MERFunction_1.setType(Constants.TIPO_FUNCAOMRE_PAPEIS_COMPLEMENTARES);\n\t\t\tmodified(module_entity_MERFunction_1);\n\t\t\tmodified(module_entity_RuleToHuman_1);\n\t\t\tSystem.out.println(\"Função MRE: Papéis Complementares\");\n\t\t\tflush();\n\n\t }","title":""},{"docid":"20b24d52413ad995e8f7f9f030f54ce4","score":"0.6044295","text":"private void setObjects_complementaryRoles_PATH_1_GOAL_4_COMPONENT_txtResp_10(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"6d0548b9461d60c7184445c7562a0a5b","score":"0.60265493","text":"private void setObject_constrainInterpretation01_PATH_2_GOAL_7_COMPONENT_txtParcela2_19(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"88ad186a5904f8528a3a7083821abc50","score":"0.5978553","text":"private void setObjects_complementaryRoles_PATH_2_GOAL_8_COMPONENT_txtResp_23(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"104d9433af741e9ca07124c9ad056255","score":"0.5962051","text":"private void setObject_constrainInterpretation01_PATH_2_GOAL_5_COMPONENT_txtParcela1_13(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"7de2932ad005bbaecb9619245ecf0a69","score":"0.5941564","text":"private void setObject_constrainInterpretation01_PATH_1_GOAL_3_COMPONENT_txtParcela2_6(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"0801656e38cfc1ed6183e8c50ce9f68a","score":"0.59124184","text":"private void setObject_constrainInterpretation02_PATH_1_GOAL_3_COMPONENT_txtParcela2_7(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"ac412bd71c2a7d2aaae2636c27358a96","score":"0.58922476","text":"private void setObjects_constrainInterpretation01_PATH_1_GOAL_3_COMPONENT_txtParcela2_6(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"7f91bd1e11da471cefc30543cbe8821b","score":"0.58721566","text":"private void setObjects_constrainInterpretation02_PATH_1_GOAL_3_COMPONENT_txtParcela2_7(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"adeb27f2c8bb2813b829577895c04708","score":"0.58657336","text":"private void setObjects_constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"7e08cc2627c43b24972a4be0b27ca2d0","score":"0.58447134","text":"private void setObjects_constrainInterpretation01_PATH_2_GOAL_5_COMPONENT_txtParcela1_13(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"d85995518300daecf7955c1d8d9a398d","score":"0.5835364","text":"private void setObjects_constrainInterpretation02_PATH_2_GOAL_7_COMPONENT_txtParcela2_20(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"28e1672037cb7b44739605be724a5e16","score":"0.58328557","text":"private void setObjects_constrainInterpretation01_PATH_2_GOAL_7_COMPONENT_txtParcela2_19(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"eeb948fe031e256a9beeb53ca39e1c21","score":"0.5811531","text":"private void setObject_constrainInterpretation02_PATH_2_GOAL_7_COMPONENT_txtParcela2_20(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"7f3e425e09b1ae3a46defa87dba03570","score":"0.5740681","text":"private Object[] getObjects_complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14() {\r\n return new Object[] {\r\n module_entity_Action_1,\r\n module_entity_MERFunction_1,\r\n module_entity_RuleToHuman_1\r\n };\r\n }","title":""},{"docid":"c9e59ea61ca7b3d3fa8bdb838feb5369","score":"0.5733991","text":"private void setObject_constructDeeperUnderstanding03_PATH_2_GOAL_5_COMPONENT_txtParcela1_15(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"226283ac1c8dd37fe13add3cf6b162d0","score":"0.5723078","text":"private void setObject_constructDeeperUnderstanding03_PATH_1_GOAL_3_COMPONENT_txtParcela2_8(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"43d10d80db2bf9c7edd97ebd1fcfaa97","score":"0.56952626","text":"private void setObject_constructDeeperUnderstanding03_PATH_2_GOAL_7_COMPONENT_txtParcela2_21(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"7c6096563268093b23720cb7ac60047b","score":"0.5667461","text":"private Object getObject_complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14(int index) {\r\n switch (index) {\r\n case 0: return module_entity_Action_1;\r\n case 1: return module_entity_MERFunction_1;\r\n case 2: return module_entity_RuleToHuman_1;\r\n default: return null;\r\n }\r\n }","title":""},{"docid":"50eb84d660db4462a9f7cb62bf3ec881","score":"0.5657672","text":"private void setObject_complementaryRoles_PATH_1_GOAL_4_COMPONENT_txtResp_10(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"70e60c2e2840f0335e586a10710ceec0","score":"0.5628446","text":"public void setCourses(Object obj)\n {\n \tPlatform.runLater(new Runnable()\n\t\t{\n\t\t\t@SuppressWarnings(\"unchecked\")\n\t\t\t@Override\n\t\t\tpublic void run()\n\t\t\t{\n\t\t\t\ttry\n\t\t\t\t{\n\t\t\t\t\tif(((ArrayList<String>) obj).get(0).equals(\"CoursesSet\"))\n\t\t\t\t\t\tscreen.Secretary_ViewExpStdReg(obj);\n\t\t\t\t\telse\n\t\t\t\t\t\tscreen.Secretary_ViewCourse(obj);\n\t\t\t\t}catch(IOException e){\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t\t}\n\t\t\t}\n\t\t});\n }","title":""},{"docid":"acc97cbb47a7358ed24bfefcf23e1cda","score":"0.5596568","text":"private void complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14() {\n\t\t\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \"Regra acionada para classificar a Função da MRE: complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_ \\n\");\n\t\t\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \" Condições: \\n\");\n\t\t\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \" \\t Tipo de Erro = Interpretação Equivocada \\n\");\n\t\t\tmodule_entity_MERFunction_1.setType(Constants.TIPO_FUNCAOMRE_PAPEIS_COMPLEMENTARES);\n\t\t\tmodified(module_entity_MERFunction_1);\n\t\t\tmodified(module_entity_RuleToHuman_1);\n\t\t\tSystem.out.println(\"Função MRE: Papéis Complementares\");\n\t\t\tflush();\n\n\t }","title":""},{"docid":"3df69bf7e46046c05fd6fcb40a6ae5e8","score":"0.5556064","text":"private void setObject_complementaryRoles_PATH_2_GOAL_8_COMPONENT_txtResp_23(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"68c00ac41356d1544ae740b0f0c71c1a","score":"0.55503494","text":"void setObjectText(String objectText);","title":""},{"docid":"45f352e7e51b2cfb2981e01f141495ed","score":"0.554584","text":"private Object[] getObjects_constrainInterpretation01_PATH_1_GOAL_1_COMPONENT_txtParcela1_0() {\r\n return new Object[] {\r\n module_entity_Action_1,\r\n module_entity_MERFunction_1,\r\n module_entity_RuleToHuman_1\r\n };\r\n }","title":""},{"docid":"7ba75c4ff625a270acb54eff0c795417","score":"0.553372","text":"private void setObjects_constructDeeperUnderstanding03_PATH_2_GOAL_5_COMPONENT_txtParcela1_15(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"9bd6f8186b0ef05d171d078c5a4d6d00","score":"0.5505687","text":"public void setObjetivoParticular(String objetivoParticular) {\r\n this.objetivoParticular = new SimpleStringProperty(objetivoParticular);\r\n }","title":""},{"docid":"5c504fcc7a699d39b3b41557ffcfb1d3","score":"0.54740095","text":"private void setObjects_constructDeeperUnderstanding03_PATH_1_GOAL_3_COMPONENT_txtParcela2_8(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"725d4e5485d794e8ac5c267a43f09964","score":"0.54566103","text":"private Object getObject_constrainInterpretation01_PATH_1_GOAL_1_COMPONENT_txtParcela1_0(int index) {\r\n switch (index) {\r\n case 0: return module_entity_Action_1;\r\n case 1: return module_entity_MERFunction_1;\r\n case 2: return module_entity_RuleToHuman_1;\r\n default: return null;\r\n }\r\n }","title":""},{"docid":"3cf6d4804500a4cb1407836495cdf6b4","score":"0.54329246","text":"private void setObjects_constructDeeperUnderstanding03_PATH_2_GOAL_7_COMPONENT_txtParcela2_21(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"9f3acabb81b951348a64434a88422ddd","score":"0.54319453","text":"private boolean complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1_cond_3() {\r\n return (module_entity_Action_1.getGoal().getComponent().getName().equalsIgnoreCase(\"txtParcela1\"));\r\n }","title":""},{"docid":"8ca75c0940dbb03e5f4348675f63855a","score":"0.5346101","text":"public abstract void setObject(EObject obj);","title":""},{"docid":"e731f7e154b45be94e68d19567743650","score":"0.529836","text":"public void setObject(int ruleIndex, int declIndex, Object value) {\r\n switch (ruleIndex) {\r\n case 0: setObject_constrainInterpretation01_PATH_1_GOAL_1_COMPONENT_txtParcela1_0(declIndex, value); break;\r\n case 1: setObject_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(declIndex, value); break;\r\n case 2: setObject_constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2(declIndex, value); break;\r\n case 3: setObject_constructDeeperUnderstanding02_PATH_1_GOAL_2_COMPONENT_txtOp_3(declIndex, value); break;\r\n case 4: setObject_constrainInterpretation01_PATH_1_GOAL_2_COMPONENT_txtOp_4(declIndex, value); break;\r\n case 5: setObject_constructDeeperUnderstanding03_PATH_1_GOAL_2_COMPONENT_txtOp_5(declIndex, value); break;\r\n case 6: setObject_constrainInterpretation01_PATH_1_GOAL_3_COMPONENT_txtParcela2_6(declIndex, value); break;\r\n case 7: setObject_constrainInterpretation02_PATH_1_GOAL_3_COMPONENT_txtParcela2_7(declIndex, value); break;\r\n case 8: setObject_constructDeeperUnderstanding03_PATH_1_GOAL_3_COMPONENT_txtParcela2_8(declIndex, value); break;\r\n case 9: setObject_constructDeeperUnderstanding02_PATH_1_GOAL_4_COMPONENT_txtResp_9(declIndex, value); break;\r\n case 10: setObject_complementaryRoles_PATH_1_GOAL_4_COMPONENT_txtResp_10(declIndex, value); break;\r\n case 11: setObject_constrainInterpretation02_PATH_1_GOAL_4_COMPONENT_txtResp_11(declIndex, value); break;\r\n case 12: setObject_constructDeeperUnderstanding03_PATH_1_GOAL_4_COMPONENT_txtResp_12(declIndex, value); break;\r\n case 13: setObject_constrainInterpretation01_PATH_2_GOAL_5_COMPONENT_txtParcela1_13(declIndex, value); break;\r\n case 14: setObject_complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14(declIndex, value); break;\r\n case 15: setObject_constructDeeperUnderstanding03_PATH_2_GOAL_5_COMPONENT_txtParcela1_15(declIndex, value); break;\r\n case 16: setObject_constructDeeperUnderstanding02_PATH_2_GOAL_6_COMPONENT_txtOp_16(declIndex, value); break;\r\n case 17: setObject_constrainInterpretation01_PATH_2_GOAL_6_COMPONENT_txtOp_17(declIndex, value); break;\r\n case 18: setObject_constructDeeperUnderstanding03_PATH_2_GOAL_6_COMPONENT_txtOp_18(declIndex, value); break;\r\n case 19: setObject_constrainInterpretation01_PATH_2_GOAL_7_COMPONENT_txtParcela2_19(declIndex, value); break;\r\n case 20: setObject_constrainInterpretation02_PATH_2_GOAL_7_COMPONENT_txtParcela2_20(declIndex, value); break;\r\n case 21: setObject_constructDeeperUnderstanding03_PATH_2_GOAL_7_COMPONENT_txtParcela2_21(declIndex, value); break;\r\n case 22: setObject_constructDeeperUnderstanding02_PATH_2_GOAL_8_COMPONENT_txtResp_22(declIndex, value); break;\r\n case 23: setObject_complementaryRoles_PATH_2_GOAL_8_COMPONENT_txtResp_23(declIndex, value); break;\r\n case 24: setObject_constrainInterpretation02_PATH_2_GOAL_8_COMPONENT_txtResp_24(declIndex, value); break;\r\n case 25: setObject_constructDeeperUnderstanding03_PATH_2_GOAL_8_COMPONENT_txtResp_25(declIndex, value); break;\r\n }\r\n }","title":""},{"docid":"5c355908aadbe8a45369b15737717772","score":"0.52825356","text":"private boolean complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14_cond_3() {\r\n return (module_entity_Action_1.getGoal().getComponent().getName().equalsIgnoreCase(\"txtParcela1\"));\r\n }","title":""},{"docid":"698ee0b0375c06c5b1e6c6705dbdf3e9","score":"0.5266175","text":"public void setLibroBoleta(cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta libroBoleta)\r\n {\r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta target = null;\r\n target = (cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta)get_store().find_element_user(LIBROBOLETA$0, 0);\r\n if (target == null)\r\n {\r\n target = (cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta)get_store().add_element_user(LIBROBOLETA$0);\r\n }\r\n target.set(libroBoleta);\r\n }\r\n }","title":""},{"docid":"f79117a2d567a7b5cab369bb4bfd31e9","score":"0.5200216","text":"void setLspObject(PcepLspObject lspObject);","title":""},{"docid":"7016de04b3658bd8d837b3f9c0763a03","score":"0.51994103","text":"public void setTextProceso(String text) { doSetText(this.$element_Proceso, text); }","title":""},{"docid":"4edf9d210c1341f00df92e7e46c74b46","score":"0.51734644","text":"public void setCoursesClasType(Object obj)\n {\n \tPlatform.runLater(new Runnable()\n\t\t{\n\t\t\t@Override\n\t\t\tpublic void run()\n\t\t\t{\n\t\t\t\ttry\n\t\t\t\t{\n\t\t\t\t\tscreen.Secretary_NewExpStdReg(obj);\n\t\t\t\t}catch(IOException e){\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t\t}\n\t\t\t}\n\t\t});\n }","title":""},{"docid":"4ccc33b5170cc07c5aa0636e0b370ef8","score":"0.5142806","text":"public static void setOrigen(String aux)\r\n/* 301: */ {\r\n/* 302:364 */ jTextFieldOrigen.setText(aux);\r\n/* 303: */ }","title":""},{"docid":"a8eeed0a012802ad12833abbaa22bdca","score":"0.5140702","text":"public void setCoursesClasType123(Object obj)\n {\n \tPlatform.runLater(new Runnable()\n\t\t{\n\t\t\t@SuppressWarnings(\"unchecked\")\n\t\t\t@Override\n\t\t\tpublic void run()\n\t\t\t{\n\t\t\t\tArrayList<String> arr1 = new ArrayList<String>();\n\t\t\t\tObservableList<String> list ;\n\t\t\t\tlist = FXCollections.observableArrayList(((ArrayList<String>) obj));\n\t\t\t\tChooseClassN.setItems(list);\n\t\t\t\tChooseClassN.getSelectionModel().selectFirst();\n\t\t\t\tarr1.clear();\n\t\t\t\tarr1.add(\"Registration\");\n\t\t\t\tarr1.add(\"Deletion\");\n\t\t\t\tlist = FXCollections.observableArrayList(arr1);\n\t\t\t\tChooseType.setItems(list);\n\t\t\t\tChooseType.getSelectionModel().selectFirst();\n\t\t\t}\n\t\t});\n }","title":""},{"docid":"55a44ae9acdb68c1423971036a2491be","score":"0.5125596","text":"private void setObjects_constrainInterpretation01_PATH_1_GOAL_2_COMPONENT_txtOp_4(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"4e65a5cb7098f6929dc8d433ecac8ad0","score":"0.5115157","text":"public void setTextNombreProceso(String text) { doSetText(this.$element_NombreProceso, text); }","title":""},{"docid":"b2a8e54cd22026eb2c9519e20549ec07","score":"0.5104025","text":"private void setCola(ArrayList<T> cola) {\n\t\tthis.cola = cola;\n\t}","title":""},{"docid":"93cc065da62d16afd8ad148652d4e6cf","score":"0.5067519","text":"public void setContacto(Contacto contacto)\r\n/* 646: */ {\r\n/* 647:820 */ this.contacto = contacto;\r\n/* 648: */ }","title":""},{"docid":"f434f53e6c467edd8d58c2cb2c74c569","score":"0.5053025","text":"public ObjetivoParticular(String objetivoParticular, Integer idPlan, \r\n Integer idObjetivoParticular) {\r\n this.objetivoParticular = new SimpleStringProperty(objetivoParticular);\r\n this.idPlan = new SimpleIntegerProperty(idPlan);\r\n this.idObjetivoParticular = new SimpleIntegerProperty(idObjetivoParticular);\r\n }","title":""},{"docid":"0cc583bf193da1ec56941c28c1669165","score":"0.5052833","text":"private String[] getDeclaredIdentifiers_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1() {\r\n return identifiers_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1;\r\n }","title":""},{"docid":"ccd7864bc44280115f09908dcf10da12","score":"0.50353813","text":"private void setObjects_constrainInterpretation02_PATH_1_GOAL_4_COMPONENT_txtResp_11(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"4724b9baaa353cfb74b467f5c1ac8019","score":"0.50193954","text":"private Object getObject_constrainInterpretation01_PATH_2_GOAL_5_COMPONENT_txtParcela1_13(int index) {\r\n switch (index) {\r\n case 0: return module_entity_Action_1;\r\n case 1: return module_entity_MERFunction_1;\r\n case 2: return module_entity_RuleToHuman_1;\r\n default: return null;\r\n }\r\n }","title":""},{"docid":"cba59e0f4cad4535f2df4de2d607340a","score":"0.50137556","text":"private void setObject_constrainInterpretation01_PATH_1_GOAL_2_COMPONENT_txtOp_4(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"9aabaf126a986f49f1d6da46258639b2","score":"0.50046074","text":"private void setObject(Object c){\r\n\r\n// This should really call equals() for comparison.\r\n boolean trueChange;\r\n if (getValue() != null){\r\n trueChange = (!c.equals(getValue()));\r\n //System.err.println(\"GEO::setObject(): Changed? \" + trueChange+ getValue().getClass().getName());\r\n }\r\n else\r\n trueChange = true;\r\n\r\n m_Object = c;\r\n\r\n if (m_EditorComponent != null){\r\n m_EditorComponent.updateChildPropertySheet();\r\n if (trueChange){\r\n m_Support.firePropertyChange(\"\", null, null);\r\n }\r\n }\r\n }","title":""},{"docid":"911072dfab25cf59cfe5fe588f920209","score":"0.49988535","text":"public void setComposeRole(java.lang.String param){\r\n localComposeRoleTracker = param != null;\r\n \r\n this.localComposeRole=param;\r\n \r\n\r\n }","title":""},{"docid":"8f8684384f4c2c7fb21e06535c51d298","score":"0.499432","text":"public void SetClassChang(ArrayList<String> obj)\n {\n \tPlatform.runLater(new Runnable()\n\t\t{\n\t\t\t@Override\n\t\t\tpublic void run()\n\t\t\t{\n\t\t\t\ttry\n\t\t\t\t{\n\t\t\t\t\tscreen.Secretary_ViewTeaApt(obj);\n\t\t\t\t}catch(IOException e){\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t\t}\n\t\t\t}\n\t\t});\n }","title":""},{"docid":"515a08d996604533b8bc6fc65af5f921","score":"0.49734956","text":"public void setTextNombreSubProceso(String text) { doSetText(this.$element_NombreSubProceso, text); }","title":""},{"docid":"5ff7b88129e6093b9468ef71a058befc","score":"0.49610803","text":"public void setCaratula(cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Caratula caratula)\r\n {\r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Caratula target = null;\r\n target = (cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Caratula)get_store().find_element_user(CARATULA$0, 0);\r\n if (target == null)\r\n {\r\n target = (cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Caratula)get_store().add_element_user(CARATULA$0);\r\n }\r\n target.set(caratula);\r\n }\r\n }","title":""},{"docid":"ce92bd312599b0c081848c1e1bbb4036","score":"0.4960121","text":"private Object[] getObjects_constrainInterpretation01_PATH_1_GOAL_3_COMPONENT_txtParcela2_6() {\r\n return new Object[] {\r\n module_entity_Action_1,\r\n module_entity_MERFunction_1,\r\n module_entity_RuleToHuman_1\r\n };\r\n }","title":""},{"docid":"1043f982264be792410e71a52cb7e064","score":"0.49556497","text":"public void setRole(java.lang.String param){\r\n localRoleTracker = param != null;\r\n \r\n this.localRole=param;\r\n \r\n\r\n }","title":""},{"docid":"1043f982264be792410e71a52cb7e064","score":"0.49556497","text":"public void setRole(java.lang.String param){\r\n localRoleTracker = param != null;\r\n \r\n this.localRole=param;\r\n \r\n\r\n }","title":""},{"docid":"71cb35380027ab52b0e9dd1885c6b6e5","score":"0.49508017","text":"public void setObjects(int ruleIndex, Object[] objects) {\r\n switch (ruleIndex) {\r\n case 0: setObjects_constrainInterpretation01_PATH_1_GOAL_1_COMPONENT_txtParcela1_0(objects); break;\r\n case 1: setObjects_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(objects); break;\r\n case 2: setObjects_constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2(objects); break;\r\n case 3: setObjects_constructDeeperUnderstanding02_PATH_1_GOAL_2_COMPONENT_txtOp_3(objects); break;\r\n case 4: setObjects_constrainInterpretation01_PATH_1_GOAL_2_COMPONENT_txtOp_4(objects); break;\r\n case 5: setObjects_constructDeeperUnderstanding03_PATH_1_GOAL_2_COMPONENT_txtOp_5(objects); break;\r\n case 6: setObjects_constrainInterpretation01_PATH_1_GOAL_3_COMPONENT_txtParcela2_6(objects); break;\r\n case 7: setObjects_constrainInterpretation02_PATH_1_GOAL_3_COMPONENT_txtParcela2_7(objects); break;\r\n case 8: setObjects_constructDeeperUnderstanding03_PATH_1_GOAL_3_COMPONENT_txtParcela2_8(objects); break;\r\n case 9: setObjects_constructDeeperUnderstanding02_PATH_1_GOAL_4_COMPONENT_txtResp_9(objects); break;\r\n case 10: setObjects_complementaryRoles_PATH_1_GOAL_4_COMPONENT_txtResp_10(objects); break;\r\n case 11: setObjects_constrainInterpretation02_PATH_1_GOAL_4_COMPONENT_txtResp_11(objects); break;\r\n case 12: setObjects_constructDeeperUnderstanding03_PATH_1_GOAL_4_COMPONENT_txtResp_12(objects); break;\r\n case 13: setObjects_constrainInterpretation01_PATH_2_GOAL_5_COMPONENT_txtParcela1_13(objects); break;\r\n case 14: setObjects_complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14(objects); break;\r\n case 15: setObjects_constructDeeperUnderstanding03_PATH_2_GOAL_5_COMPONENT_txtParcela1_15(objects); break;\r\n case 16: setObjects_constructDeeperUnderstanding02_PATH_2_GOAL_6_COMPONENT_txtOp_16(objects); break;\r\n case 17: setObjects_constrainInterpretation01_PATH_2_GOAL_6_COMPONENT_txtOp_17(objects); break;\r\n case 18: setObjects_constructDeeperUnderstanding03_PATH_2_GOAL_6_COMPONENT_txtOp_18(objects); break;\r\n case 19: setObjects_constrainInterpretation01_PATH_2_GOAL_7_COMPONENT_txtParcela2_19(objects); break;\r\n case 20: setObjects_constrainInterpretation02_PATH_2_GOAL_7_COMPONENT_txtParcela2_20(objects); break;\r\n case 21: setObjects_constructDeeperUnderstanding03_PATH_2_GOAL_7_COMPONENT_txtParcela2_21(objects); break;\r\n case 22: setObjects_constructDeeperUnderstanding02_PATH_2_GOAL_8_COMPONENT_txtResp_22(objects); break;\r\n case 23: setObjects_complementaryRoles_PATH_2_GOAL_8_COMPONENT_txtResp_23(objects); break;\r\n case 24: setObjects_constrainInterpretation02_PATH_2_GOAL_8_COMPONENT_txtResp_24(objects); break;\r\n case 25: setObjects_constructDeeperUnderstanding03_PATH_2_GOAL_8_COMPONENT_txtResp_25(objects); break;\r\n }\r\n }","title":""},{"docid":"697c1ae306dc73d3bdc64593eb62803e","score":"0.49404937","text":"public void setPlco_nome(String plco_nome)\n/* */ {\n/* 78 */ this.plco_nome = plco_nome;\n/* */ }","title":""},{"docid":"724855201a94369bc0de6e1dd610c99c","score":"0.49304387","text":"public void setOleObj(org.openxmlformats.schemas.presentationml.x2006.main.CTOleObject oleObj)\n {\n synchronized (monitor())\n {\n check_orphaned();\n org.openxmlformats.schemas.presentationml.x2006.main.CTOleObject target = null;\n target = (org.openxmlformats.schemas.presentationml.x2006.main.CTOleObject)get_store().find_element_user(OLEOBJ$0, 0);\n if (target == null)\n {\n target = (org.openxmlformats.schemas.presentationml.x2006.main.CTOleObject)get_store().add_element_user(OLEOBJ$0);\n }\n target.set(oleObj);\n }\n }","title":""},{"docid":"7f63f7984557d402a412c345866b89c7","score":"0.4929335","text":"public void setTransportista(Transportista transportista)\r\n/* 601: */ {\r\n/* 602:770 */ this.transportista = transportista;\r\n/* 603: */ }","title":""},{"docid":"dc5e3867a7a0a28c32bbbd5e4b95c040","score":"0.49277171","text":"private boolean complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1_cond_1() {\r\n return (module_entity_Action_1.getGoal().getPath().getId().equals(1));\r\n }","title":""},{"docid":"abd294e69e5c0c879e5a8536ae8dbc6a","score":"0.49240395","text":"private void setArticleRole(ArticleFiles af, CachedUrl cu, String role) {\n\n if ((cu != null) && (cu.hasContent())) {\n if (role != null) {\n af.setRoleCu(role, cu);\n }\n }\n AuUtil.safeRelease(cu);\n\n }","title":""},{"docid":"ce160b7a39ba120ec2b415e90d6027b7","score":"0.49216208","text":"public void setTextSubproceso(String text) { doSetText(this.$element_Subproceso, text); }","title":""},{"docid":"1726f4b526fab97c31c4ea0730ab67ec","score":"0.4917489","text":"private void constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2() {\n\t\t\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \"Regra acionada para classificar a Função da MRE: constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_ \\n\");\n\t\t\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \" Condições: \\n\");\n\t\t\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \" \\t Tipo de Erro = Solução Não Categorizável \\n\");\n\t\t\tmodule_entity_MERFunction_1.setType(Constants.TIPO_FUNCAOMRE_COMPREENSAO_MAIS_APROFUNDADA);\n\t\t\tmodified(module_entity_MERFunction_1);\n\t\t\tmodified(module_entity_RuleToHuman_1);\n\t\t\tSystem.out.println(\"Função MRE: Compreensão Mais Aprofundada\");\n\t\t\tflush();\n\n\t }","title":""},{"docid":"c56589f3904044cc84011ffa1cb6ca0c","score":"0.49158168","text":"public void setProgramme(ListeProgramme lp) {\n this.programme = lp;\n }","title":""},{"docid":"e5acd1742dc7d2a4bc20d84318d23b1a","score":"0.49126872","text":"protected void addPlazoSolicitudPropertyDescriptor(Object object) {\r\n\t\titemPropertyDescriptors.add\r\n\t\t\t(\r\n\t\t\tcreateItemPropertyDescriptor\r\n\t\t\t\t(((ComposeableAdapterFactory)adapterFactory).getRootAdapterFactory(),\r\n\t\t\t\t getResourceLocator(),\r\n\t\t\t\t getString(\"_UI_TramitacionProcedimiento_plazoSolicitud_feature\"),\r\n\t\t\t\t getString(\"_UI_PropertyDescriptor_description\", \"_UI_TramitacionProcedimiento_plazoSolicitud_feature\", \"_UI_TramitacionProcedimiento_type\"),\r\n\t\t\t\t SimapaPackage.Literals.TRAMITACION_PROCEDIMIENTO__PLAZO_SOLICITUD,\r\n\t\t\t\t true,\r\n\t\t\t\t false,\r\n\t\t\t\t false,\r\n\t\t\t\t ItemPropertyDescriptor.GENERIC_VALUE_IMAGE,\r\n\t\t\t\t null,\r\n\t\t\t\t null));\r\n\t}","title":""},{"docid":"9d3eb577e045e4783ec56c3cc67a3cd0","score":"0.49110705","text":"public void setDataObjSelected(Node selected) throws NoSuchFieldException {\n //Preenche os campos com os dados do objeto selecionado ao selecionar o objeto\n if (selected instanceof Activity) {\n Activity activitySelected = (Activity) selected;\n txt_act_name.setText(activitySelected.getName());\n txt_act_description.setText(activitySelected.getDescription());\n txt_act_activation.setText(activitySelected.getActivation());\n txt_act_input_filename.setText(activitySelected.getInput_filename());\n txt_act_output_filename.setText(activitySelected.getOutput_filename());\n\n chb_act_type.getSelectionModel().select(activitySelected.getType());\n chb_sleeptime.getSelectionModel().select(activitySelected.getTimeCommand());\n\n //Resgatando os fields ao selecionar a Activity\n FieldType.FILE.getController().addListField(activitySelected.getFields());\n\n try {\n String text_ta_commands = \"\";\n for (String command : activitySelected.getCommands()) {\n text_ta_commands += command + \"\\n\";\n }\n ta_commands.setText(text_ta_commands);\n } catch (Exception e) {\n ta_commands.setText(\"\");\n }\n }\n //Colocar aqui os outros Entity, Agent...\n //chb_act_type.selectionModelProperty().setValue(activitySelected.getType());\n }","title":""},{"docid":"6873dede4205810cd9292efb8672332e","score":"0.49072993","text":"private Object[] getObjects_constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2() {\r\n return new Object[] {\r\n module_entity_Action_1,\r\n module_entity_MERFunction_1,\r\n module_entity_RuleToHuman_1\r\n };\r\n }","title":""},{"docid":"672c9583d083e12f68229bba94f618bd","score":"0.49056664","text":"public void setDepartmentRole(java.lang.String param){\r\n localDepartmentRoleTracker = param != null;\r\n \r\n this.localDepartmentRole=param;\r\n \r\n\r\n }","title":""},{"docid":"7a7d5d8e07703661e3f53993a0e6fa15","score":"0.48996764","text":"private Object[] getObjects_constrainInterpretation01_PATH_2_GOAL_5_COMPONENT_txtParcela1_13() {\r\n return new Object[] {\r\n module_entity_Action_1,\r\n module_entity_MERFunction_1,\r\n module_entity_RuleToHuman_1\r\n };\r\n }","title":""},{"docid":"39df64e0dc171aa26ce58c44f8fa308f","score":"0.48931873","text":"private Object getObject_constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2(int index) {\r\n switch (index) {\r\n case 0: return module_entity_Action_1;\r\n case 1: return module_entity_MERFunction_1;\r\n case 2: return module_entity_RuleToHuman_1;\r\n default: return null;\r\n }\r\n }","title":""},{"docid":"cd53ff97dafec44c1d7575f1c7e028b1","score":"0.48919496","text":"private void setObjects_constrainInterpretation01_PATH_2_GOAL_6_COMPONENT_txtOp_17(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"dc224f44644d90ca3c2899abfb382577","score":"0.48857814","text":"private Object getObject_constrainInterpretation01_PATH_2_GOAL_7_COMPONENT_txtParcela2_19(int index) {\r\n switch (index) {\r\n case 0: return module_entity_Action_1;\r\n case 1: return module_entity_MERFunction_1;\r\n case 2: return module_entity_RuleToHuman_1;\r\n default: return null;\r\n }\r\n }","title":""},{"docid":"6d3e0475389e59c1bd46bec026c8ac81","score":"0.48833168","text":"public void xsetAnulado(cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Detalle.Anulado anulado)\r\n {\r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Detalle.Anulado target = null;\r\n target = (cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Detalle.Anulado)get_store().find_element_user(ANULADO$4, 0);\r\n if (target == null)\r\n {\r\n target = (cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Detalle.Anulado)get_store().add_element_user(ANULADO$4);\r\n }\r\n target.set(anulado);\r\n }\r\n }","title":""},{"docid":"c734d7f8d0147b3ab1ec500ca5ec3071","score":"0.48821962","text":"private RolePermisionUltil(String roleUltil){\r\n this.roleUltil = roleUltil;\r\n }","title":""},{"docid":"7f64fb9a21fd48c3508c8271e99a2220","score":"0.48764178","text":"private void constructDeeperUnderstanding03_PATH_2_GOAL_5_COMPONENT_txtParcela1_15() {\n\t\t\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \"Regra acionada para classificar a Função da MRE: constructDeeperUnderstanding03_PATH_2_GOAL_5_COMPONENT_txtParcela1_ \\n\");\n\t\t\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \" Condições: \\n\");\n\t\t\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \" \\t Tipo de Erro = Solução Não Categorizável \\n\");\n\t\t\tmodule_entity_MERFunction_1.setType(Constants.TIPO_FUNCAOMRE_COMPREENSAO_MAIS_APROFUNDADA);\n\t\t\tmodified(module_entity_MERFunction_1);\n\t\t\tmodified(module_entity_RuleToHuman_1);\n\t\t\tSystem.out.println(\"Função MRE: Compreensão Mais Aprofundada\");\n\t\t\tflush();\n\n\t }","title":""},{"docid":"25b7dba4d4e3a5c0fc42432e9c5f7c7c","score":"0.48635527","text":"private String getDeclaredClassName_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(int index) {\r\n switch (index) {\r\n case 0: return \"module.entity.Action\";\r\n case 1: return \"module.entity.MERFunction\";\r\n case 2: return \"module.entity.RuleToHuman\";\r\n default: return null;\r\n }\r\n }","title":""},{"docid":"cfe66946bcc2da186b8e9786694e242c","score":"0.48611158","text":"public boolean setObject(String object);","title":""},{"docid":"b79d3901ec89f765110147fdf6c0da95","score":"0.48505616","text":"private boolean complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1_cond_0() {\r\n return (((WrongAnswer)module_entity_Action_1.getAnswer()).getType() == Constants.TIPO_ERRO_INTERPRETACAO_EQUIVOCADA);\r\n }","title":""},{"docid":"71c088da5e7f56bd268df48589f14133","score":"0.4848509","text":"public void setObject(nl.pdekker.nts._3_0.Object_type[] object) {\n this.object = object;\n }","title":""},{"docid":"c9070ff601bc2d0467254682079892d5","score":"0.4848431","text":"public void setTexto(String texto) {\r\n this.texto = texto;\r\n }","title":""},{"docid":"992ffeb4c4a91c4c8f9f08f85e4420dc","score":"0.48462716","text":"@Override\r\n\tpublic void editar(ContaPoupanca objeto) {\n\t\t\r\n\t}","title":""},{"docid":"15edb723cb96a2d491343fbb7cc15462","score":"0.48453045","text":"public abstract void setTestoComponente(String testoComponente);","title":""},{"docid":"cb973a5cc11d84fc296c04fa562860c1","score":"0.48434645","text":"public void setObject(GameObject object) {\r\n this.object = object;\r\n setEmpty(false);\r\n }","title":""},{"docid":"f4c1ca5f30410a1be7366064b5831c8a","score":"0.48417613","text":"private void setObject_constructDeeperUnderstanding02_PATH_1_GOAL_2_COMPONENT_txtOp_3(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\r\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\r\n }\r\n }","title":""},{"docid":"115e97b28a76e15dc4122dacfda9d380","score":"0.48354393","text":"public void setComparesource(noNamespace.SourceType comparesource)\r\n {\r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n noNamespace.SourceType target = null;\r\n target = (noNamespace.SourceType)get_store().find_element_user(COMPARESOURCE$2, 0);\r\n if (target == null)\r\n {\r\n target = (noNamespace.SourceType)get_store().add_element_user(COMPARESOURCE$2);\r\n }\r\n target.set(comparesource);\r\n }\r\n }","title":""},{"docid":"115e97b28a76e15dc4122dacfda9d380","score":"0.48354393","text":"public void setComparesource(noNamespace.SourceType comparesource)\r\n {\r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n noNamespace.SourceType target = null;\r\n target = (noNamespace.SourceType)get_store().find_element_user(COMPARESOURCE$2, 0);\r\n if (target == null)\r\n {\r\n target = (noNamespace.SourceType)get_store().add_element_user(COMPARESOURCE$2);\r\n }\r\n target.set(comparesource);\r\n }\r\n }","title":""},{"docid":"409118ca18b1da3507b0af7c9218311d","score":"0.48319137","text":"public void setTerm(CourseComponentTerm term) {\n\t\tthis.term = term;\n\t}","title":""},{"docid":"2da33f8a9d23a6d08ef391c1ece472e4","score":"0.48302263","text":"public void setLingue(List<LinguaBean> obj)\r\n {\r\n lingue = obj;\r\n }","title":""},{"docid":"8da963760c8ff3e49e4a3d046364f772","score":"0.4816243","text":"private void setObjects_constructDeeperUnderstanding02_PATH_1_GOAL_2_COMPONENT_txtOp_3(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\r\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\r\n }","title":""},{"docid":"bad53963977de940084f7bd7181d8b1e","score":"0.48153746","text":"@Test\r\n public void testSetEditableTexto() {\r\n System.out.println(\"setEditableTexto\");\r\n Component cm = null;\r\n boolean habilitar = false;\r\n Component[] excepcion = null;\r\n boolean limpiar = false;\r\n String valor = \"\";\r\n ECampos.setEditableTexto(cm, habilitar, excepcion, limpiar, valor);\r\n // TODO review the generated test code and remove the default call to fail.\r\n fail(\"The test case is a prototype.\");\r\n }","title":""}],"string":"[\n {\n \"docid\": \"f15e6b2c9db3c2df25bee1afc64bd79b\",\n \"score\": \"0.7401507\",\n \"text\": \"private void setObjects_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1a4a8a2b5c4ab5f8d601850fa054e108\",\n \"score\": \"0.6764712\",\n \"text\": \"private void setObjects_complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"50f466ccaac931ff2aa3fcfe0a2bfb2f\",\n \"score\": \"0.67145175\",\n \"text\": \"private void setObject_complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1da4280376a0a00b7e626df753d3d6bc\",\n \"score\": \"0.65664244\",\n \"text\": \"private void setObject_constrainInterpretation01_PATH_1_GOAL_1_COMPONENT_txtParcela1_0(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d121b6da2f6f6fdfc8f268c4aeb2f5bc\",\n \"score\": \"0.6468284\",\n \"text\": \"private Object[] getObjects_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1() {\\r\\n return new Object[] {\\r\\n module_entity_Action_1,\\r\\n module_entity_MERFunction_1,\\r\\n module_entity_RuleToHuman_1\\r\\n };\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d4b52e9fe3814646f9b874561f5e571\",\n \"score\": \"0.64184225\",\n \"text\": \"private void setObjects_constrainInterpretation01_PATH_1_GOAL_1_COMPONENT_txtParcela1_0(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c6748e17f3ad2034e055a3a9038f8312\",\n \"score\": \"0.6315937\",\n \"text\": \"private Object getObject_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(int index) {\\r\\n switch (index) {\\r\\n case 0: return module_entity_Action_1;\\r\\n case 1: return module_entity_MERFunction_1;\\r\\n case 2: return module_entity_RuleToHuman_1;\\r\\n default: return null;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1b282e63dd24c7de1ac8ebf800e37841\",\n \"score\": \"0.6099325\",\n \"text\": \"private void setObject_constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac187225bf95e0a935428c765c0d7b5d\",\n \"score\": \"0.60554117\",\n \"text\": \"private void complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1() {\\n\\t\\t\\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \\\"Regra acionada para classificar a Função da MRE: complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_ \\\\n\\\");\\n\\t\\t\\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \\\" Condições: \\\\n\\\");\\n\\t\\t\\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \\\" \\\\t Tipo de Erro = Interpretação Equivocada \\\\n\\\");\\n\\t\\t\\tmodule_entity_MERFunction_1.setType(Constants.TIPO_FUNCAOMRE_PAPEIS_COMPLEMENTARES);\\n\\t\\t\\tmodified(module_entity_MERFunction_1);\\n\\t\\t\\tmodified(module_entity_RuleToHuman_1);\\n\\t\\t\\tSystem.out.println(\\\"Função MRE: Papéis Complementares\\\");\\n\\t\\t\\tflush();\\n\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"20b24d52413ad995e8f7f9f030f54ce4\",\n \"score\": \"0.6044295\",\n \"text\": \"private void setObjects_complementaryRoles_PATH_1_GOAL_4_COMPONENT_txtResp_10(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6d0548b9461d60c7184445c7562a0a5b\",\n \"score\": \"0.60265493\",\n \"text\": \"private void setObject_constrainInterpretation01_PATH_2_GOAL_7_COMPONENT_txtParcela2_19(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"88ad186a5904f8528a3a7083821abc50\",\n \"score\": \"0.5978553\",\n \"text\": \"private void setObjects_complementaryRoles_PATH_2_GOAL_8_COMPONENT_txtResp_23(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"104d9433af741e9ca07124c9ad056255\",\n \"score\": \"0.5962051\",\n \"text\": \"private void setObject_constrainInterpretation01_PATH_2_GOAL_5_COMPONENT_txtParcela1_13(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7de2932ad005bbaecb9619245ecf0a69\",\n \"score\": \"0.5941564\",\n \"text\": \"private void setObject_constrainInterpretation01_PATH_1_GOAL_3_COMPONENT_txtParcela2_6(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0801656e38cfc1ed6183e8c50ce9f68a\",\n \"score\": \"0.59124184\",\n \"text\": \"private void setObject_constrainInterpretation02_PATH_1_GOAL_3_COMPONENT_txtParcela2_7(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac412bd71c2a7d2aaae2636c27358a96\",\n \"score\": \"0.58922476\",\n \"text\": \"private void setObjects_constrainInterpretation01_PATH_1_GOAL_3_COMPONENT_txtParcela2_6(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7f91bd1e11da471cefc30543cbe8821b\",\n \"score\": \"0.58721566\",\n \"text\": \"private void setObjects_constrainInterpretation02_PATH_1_GOAL_3_COMPONENT_txtParcela2_7(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"adeb27f2c8bb2813b829577895c04708\",\n \"score\": \"0.58657336\",\n \"text\": \"private void setObjects_constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7e08cc2627c43b24972a4be0b27ca2d0\",\n \"score\": \"0.58447134\",\n \"text\": \"private void setObjects_constrainInterpretation01_PATH_2_GOAL_5_COMPONENT_txtParcela1_13(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d85995518300daecf7955c1d8d9a398d\",\n \"score\": \"0.5835364\",\n \"text\": \"private void setObjects_constrainInterpretation02_PATH_2_GOAL_7_COMPONENT_txtParcela2_20(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"28e1672037cb7b44739605be724a5e16\",\n \"score\": \"0.58328557\",\n \"text\": \"private void setObjects_constrainInterpretation01_PATH_2_GOAL_7_COMPONENT_txtParcela2_19(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eeb948fe031e256a9beeb53ca39e1c21\",\n \"score\": \"0.5811531\",\n \"text\": \"private void setObject_constrainInterpretation02_PATH_2_GOAL_7_COMPONENT_txtParcela2_20(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7f3e425e09b1ae3a46defa87dba03570\",\n \"score\": \"0.5740681\",\n \"text\": \"private Object[] getObjects_complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14() {\\r\\n return new Object[] {\\r\\n module_entity_Action_1,\\r\\n module_entity_MERFunction_1,\\r\\n module_entity_RuleToHuman_1\\r\\n };\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c9e59ea61ca7b3d3fa8bdb838feb5369\",\n \"score\": \"0.5733991\",\n \"text\": \"private void setObject_constructDeeperUnderstanding03_PATH_2_GOAL_5_COMPONENT_txtParcela1_15(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"226283ac1c8dd37fe13add3cf6b162d0\",\n \"score\": \"0.5723078\",\n \"text\": \"private void setObject_constructDeeperUnderstanding03_PATH_1_GOAL_3_COMPONENT_txtParcela2_8(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"43d10d80db2bf9c7edd97ebd1fcfaa97\",\n \"score\": \"0.56952626\",\n \"text\": \"private void setObject_constructDeeperUnderstanding03_PATH_2_GOAL_7_COMPONENT_txtParcela2_21(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7c6096563268093b23720cb7ac60047b\",\n \"score\": \"0.5667461\",\n \"text\": \"private Object getObject_complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14(int index) {\\r\\n switch (index) {\\r\\n case 0: return module_entity_Action_1;\\r\\n case 1: return module_entity_MERFunction_1;\\r\\n case 2: return module_entity_RuleToHuman_1;\\r\\n default: return null;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"50eb84d660db4462a9f7cb62bf3ec881\",\n \"score\": \"0.5657672\",\n \"text\": \"private void setObject_complementaryRoles_PATH_1_GOAL_4_COMPONENT_txtResp_10(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"70e60c2e2840f0335e586a10710ceec0\",\n \"score\": \"0.5628446\",\n \"text\": \"public void setCourses(Object obj)\\n {\\n \\tPlatform.runLater(new Runnable()\\n\\t\\t{\\n\\t\\t\\t@SuppressWarnings(\\\"unchecked\\\")\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void run()\\n\\t\\t\\t{\\n\\t\\t\\t\\ttry\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tif(((ArrayList<String>) obj).get(0).equals(\\\"CoursesSet\\\"))\\n\\t\\t\\t\\t\\t\\tscreen.Secretary_ViewExpStdReg(obj);\\n\\t\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\t\\tscreen.Secretary_ViewCourse(obj);\\n\\t\\t\\t\\t}catch(IOException e){\\n\\t\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t});\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"acc97cbb47a7358ed24bfefcf23e1cda\",\n \"score\": \"0.5596568\",\n \"text\": \"private void complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14() {\\n\\t\\t\\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \\\"Regra acionada para classificar a Função da MRE: complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_ \\\\n\\\");\\n\\t\\t\\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \\\" Condições: \\\\n\\\");\\n\\t\\t\\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \\\" \\\\t Tipo de Erro = Interpretação Equivocada \\\\n\\\");\\n\\t\\t\\tmodule_entity_MERFunction_1.setType(Constants.TIPO_FUNCAOMRE_PAPEIS_COMPLEMENTARES);\\n\\t\\t\\tmodified(module_entity_MERFunction_1);\\n\\t\\t\\tmodified(module_entity_RuleToHuman_1);\\n\\t\\t\\tSystem.out.println(\\\"Função MRE: Papéis Complementares\\\");\\n\\t\\t\\tflush();\\n\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3df69bf7e46046c05fd6fcb40a6ae5e8\",\n \"score\": \"0.5556064\",\n \"text\": \"private void setObject_complementaryRoles_PATH_2_GOAL_8_COMPONENT_txtResp_23(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"68c00ac41356d1544ae740b0f0c71c1a\",\n \"score\": \"0.55503494\",\n \"text\": \"void setObjectText(String objectText);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"45f352e7e51b2cfb2981e01f141495ed\",\n \"score\": \"0.554584\",\n \"text\": \"private Object[] getObjects_constrainInterpretation01_PATH_1_GOAL_1_COMPONENT_txtParcela1_0() {\\r\\n return new Object[] {\\r\\n module_entity_Action_1,\\r\\n module_entity_MERFunction_1,\\r\\n module_entity_RuleToHuman_1\\r\\n };\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7ba75c4ff625a270acb54eff0c795417\",\n \"score\": \"0.553372\",\n \"text\": \"private void setObjects_constructDeeperUnderstanding03_PATH_2_GOAL_5_COMPONENT_txtParcela1_15(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9bd6f8186b0ef05d171d078c5a4d6d00\",\n \"score\": \"0.5505687\",\n \"text\": \"public void setObjetivoParticular(String objetivoParticular) {\\r\\n this.objetivoParticular = new SimpleStringProperty(objetivoParticular);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5c504fcc7a699d39b3b41557ffcfb1d3\",\n \"score\": \"0.54740095\",\n \"text\": \"private void setObjects_constructDeeperUnderstanding03_PATH_1_GOAL_3_COMPONENT_txtParcela2_8(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"725d4e5485d794e8ac5c267a43f09964\",\n \"score\": \"0.54566103\",\n \"text\": \"private Object getObject_constrainInterpretation01_PATH_1_GOAL_1_COMPONENT_txtParcela1_0(int index) {\\r\\n switch (index) {\\r\\n case 0: return module_entity_Action_1;\\r\\n case 1: return module_entity_MERFunction_1;\\r\\n case 2: return module_entity_RuleToHuman_1;\\r\\n default: return null;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3cf6d4804500a4cb1407836495cdf6b4\",\n \"score\": \"0.54329246\",\n \"text\": \"private void setObjects_constructDeeperUnderstanding03_PATH_2_GOAL_7_COMPONENT_txtParcela2_21(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f3acabb81b951348a64434a88422ddd\",\n \"score\": \"0.54319453\",\n \"text\": \"private boolean complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1_cond_3() {\\r\\n return (module_entity_Action_1.getGoal().getComponent().getName().equalsIgnoreCase(\\\"txtParcela1\\\"));\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8ca75c0940dbb03e5f4348675f63855a\",\n \"score\": \"0.5346101\",\n \"text\": \"public abstract void setObject(EObject obj);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e731f7e154b45be94e68d19567743650\",\n \"score\": \"0.529836\",\n \"text\": \"public void setObject(int ruleIndex, int declIndex, Object value) {\\r\\n switch (ruleIndex) {\\r\\n case 0: setObject_constrainInterpretation01_PATH_1_GOAL_1_COMPONENT_txtParcela1_0(declIndex, value); break;\\r\\n case 1: setObject_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(declIndex, value); break;\\r\\n case 2: setObject_constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2(declIndex, value); break;\\r\\n case 3: setObject_constructDeeperUnderstanding02_PATH_1_GOAL_2_COMPONENT_txtOp_3(declIndex, value); break;\\r\\n case 4: setObject_constrainInterpretation01_PATH_1_GOAL_2_COMPONENT_txtOp_4(declIndex, value); break;\\r\\n case 5: setObject_constructDeeperUnderstanding03_PATH_1_GOAL_2_COMPONENT_txtOp_5(declIndex, value); break;\\r\\n case 6: setObject_constrainInterpretation01_PATH_1_GOAL_3_COMPONENT_txtParcela2_6(declIndex, value); break;\\r\\n case 7: setObject_constrainInterpretation02_PATH_1_GOAL_3_COMPONENT_txtParcela2_7(declIndex, value); break;\\r\\n case 8: setObject_constructDeeperUnderstanding03_PATH_1_GOAL_3_COMPONENT_txtParcela2_8(declIndex, value); break;\\r\\n case 9: setObject_constructDeeperUnderstanding02_PATH_1_GOAL_4_COMPONENT_txtResp_9(declIndex, value); break;\\r\\n case 10: setObject_complementaryRoles_PATH_1_GOAL_4_COMPONENT_txtResp_10(declIndex, value); break;\\r\\n case 11: setObject_constrainInterpretation02_PATH_1_GOAL_4_COMPONENT_txtResp_11(declIndex, value); break;\\r\\n case 12: setObject_constructDeeperUnderstanding03_PATH_1_GOAL_4_COMPONENT_txtResp_12(declIndex, value); break;\\r\\n case 13: setObject_constrainInterpretation01_PATH_2_GOAL_5_COMPONENT_txtParcela1_13(declIndex, value); break;\\r\\n case 14: setObject_complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14(declIndex, value); break;\\r\\n case 15: setObject_constructDeeperUnderstanding03_PATH_2_GOAL_5_COMPONENT_txtParcela1_15(declIndex, value); break;\\r\\n case 16: setObject_constructDeeperUnderstanding02_PATH_2_GOAL_6_COMPONENT_txtOp_16(declIndex, value); break;\\r\\n case 17: setObject_constrainInterpretation01_PATH_2_GOAL_6_COMPONENT_txtOp_17(declIndex, value); break;\\r\\n case 18: setObject_constructDeeperUnderstanding03_PATH_2_GOAL_6_COMPONENT_txtOp_18(declIndex, value); break;\\r\\n case 19: setObject_constrainInterpretation01_PATH_2_GOAL_7_COMPONENT_txtParcela2_19(declIndex, value); break;\\r\\n case 20: setObject_constrainInterpretation02_PATH_2_GOAL_7_COMPONENT_txtParcela2_20(declIndex, value); break;\\r\\n case 21: setObject_constructDeeperUnderstanding03_PATH_2_GOAL_7_COMPONENT_txtParcela2_21(declIndex, value); break;\\r\\n case 22: setObject_constructDeeperUnderstanding02_PATH_2_GOAL_8_COMPONENT_txtResp_22(declIndex, value); break;\\r\\n case 23: setObject_complementaryRoles_PATH_2_GOAL_8_COMPONENT_txtResp_23(declIndex, value); break;\\r\\n case 24: setObject_constrainInterpretation02_PATH_2_GOAL_8_COMPONENT_txtResp_24(declIndex, value); break;\\r\\n case 25: setObject_constructDeeperUnderstanding03_PATH_2_GOAL_8_COMPONENT_txtResp_25(declIndex, value); break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5c355908aadbe8a45369b15737717772\",\n \"score\": \"0.52825356\",\n \"text\": \"private boolean complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14_cond_3() {\\r\\n return (module_entity_Action_1.getGoal().getComponent().getName().equalsIgnoreCase(\\\"txtParcela1\\\"));\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"698ee0b0375c06c5b1e6c6705dbdf3e9\",\n \"score\": \"0.5266175\",\n \"text\": \"public void setLibroBoleta(cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta libroBoleta)\\r\\n {\\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta target = null;\\r\\n target = (cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta)get_store().find_element_user(LIBROBOLETA$0, 0);\\r\\n if (target == null)\\r\\n {\\r\\n target = (cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta)get_store().add_element_user(LIBROBOLETA$0);\\r\\n }\\r\\n target.set(libroBoleta);\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f79117a2d567a7b5cab369bb4bfd31e9\",\n \"score\": \"0.5200216\",\n \"text\": \"void setLspObject(PcepLspObject lspObject);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7016de04b3658bd8d837b3f9c0763a03\",\n \"score\": \"0.51994103\",\n \"text\": \"public void setTextProceso(String text) { doSetText(this.$element_Proceso, text); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4edf9d210c1341f00df92e7e46c74b46\",\n \"score\": \"0.51734644\",\n \"text\": \"public void setCoursesClasType(Object obj)\\n {\\n \\tPlatform.runLater(new Runnable()\\n\\t\\t{\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void run()\\n\\t\\t\\t{\\n\\t\\t\\t\\ttry\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tscreen.Secretary_NewExpStdReg(obj);\\n\\t\\t\\t\\t}catch(IOException e){\\n\\t\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t});\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4ccc33b5170cc07c5aa0636e0b370ef8\",\n \"score\": \"0.5142806\",\n \"text\": \"public static void setOrigen(String aux)\\r\\n/* 301: */ {\\r\\n/* 302:364 */ jTextFieldOrigen.setText(aux);\\r\\n/* 303: */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a8eeed0a012802ad12833abbaa22bdca\",\n \"score\": \"0.5140702\",\n \"text\": \"public void setCoursesClasType123(Object obj)\\n {\\n \\tPlatform.runLater(new Runnable()\\n\\t\\t{\\n\\t\\t\\t@SuppressWarnings(\\\"unchecked\\\")\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void run()\\n\\t\\t\\t{\\n\\t\\t\\t\\tArrayList<String> arr1 = new ArrayList<String>();\\n\\t\\t\\t\\tObservableList<String> list ;\\n\\t\\t\\t\\tlist = FXCollections.observableArrayList(((ArrayList<String>) obj));\\n\\t\\t\\t\\tChooseClassN.setItems(list);\\n\\t\\t\\t\\tChooseClassN.getSelectionModel().selectFirst();\\n\\t\\t\\t\\tarr1.clear();\\n\\t\\t\\t\\tarr1.add(\\\"Registration\\\");\\n\\t\\t\\t\\tarr1.add(\\\"Deletion\\\");\\n\\t\\t\\t\\tlist = FXCollections.observableArrayList(arr1);\\n\\t\\t\\t\\tChooseType.setItems(list);\\n\\t\\t\\t\\tChooseType.getSelectionModel().selectFirst();\\n\\t\\t\\t}\\n\\t\\t});\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"55a44ae9acdb68c1423971036a2491be\",\n \"score\": \"0.5125596\",\n \"text\": \"private void setObjects_constrainInterpretation01_PATH_1_GOAL_2_COMPONENT_txtOp_4(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e65a5cb7098f6929dc8d433ecac8ad0\",\n \"score\": \"0.5115157\",\n \"text\": \"public void setTextNombreProceso(String text) { doSetText(this.$element_NombreProceso, text); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b2a8e54cd22026eb2c9519e20549ec07\",\n \"score\": \"0.5104025\",\n \"text\": \"private void setCola(ArrayList<T> cola) {\\n\\t\\tthis.cola = cola;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93cc065da62d16afd8ad148652d4e6cf\",\n \"score\": \"0.5067519\",\n \"text\": \"public void setContacto(Contacto contacto)\\r\\n/* 646: */ {\\r\\n/* 647:820 */ this.contacto = contacto;\\r\\n/* 648: */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f434f53e6c467edd8d58c2cb2c74c569\",\n \"score\": \"0.5053025\",\n \"text\": \"public ObjetivoParticular(String objetivoParticular, Integer idPlan, \\r\\n Integer idObjetivoParticular) {\\r\\n this.objetivoParticular = new SimpleStringProperty(objetivoParticular);\\r\\n this.idPlan = new SimpleIntegerProperty(idPlan);\\r\\n this.idObjetivoParticular = new SimpleIntegerProperty(idObjetivoParticular);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0cc583bf193da1ec56941c28c1669165\",\n \"score\": \"0.5052833\",\n \"text\": \"private String[] getDeclaredIdentifiers_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1() {\\r\\n return identifiers_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ccd7864bc44280115f09908dcf10da12\",\n \"score\": \"0.50353813\",\n \"text\": \"private void setObjects_constrainInterpretation02_PATH_1_GOAL_4_COMPONENT_txtResp_11(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4724b9baaa353cfb74b467f5c1ac8019\",\n \"score\": \"0.50193954\",\n \"text\": \"private Object getObject_constrainInterpretation01_PATH_2_GOAL_5_COMPONENT_txtParcela1_13(int index) {\\r\\n switch (index) {\\r\\n case 0: return module_entity_Action_1;\\r\\n case 1: return module_entity_MERFunction_1;\\r\\n case 2: return module_entity_RuleToHuman_1;\\r\\n default: return null;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cba59e0f4cad4535f2df4de2d607340a\",\n \"score\": \"0.50137556\",\n \"text\": \"private void setObject_constrainInterpretation01_PATH_1_GOAL_2_COMPONENT_txtOp_4(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9aabaf126a986f49f1d6da46258639b2\",\n \"score\": \"0.50046074\",\n \"text\": \"private void setObject(Object c){\\r\\n\\r\\n// This should really call equals() for comparison.\\r\\n boolean trueChange;\\r\\n if (getValue() != null){\\r\\n trueChange = (!c.equals(getValue()));\\r\\n //System.err.println(\\\"GEO::setObject(): Changed? \\\" + trueChange+ getValue().getClass().getName());\\r\\n }\\r\\n else\\r\\n trueChange = true;\\r\\n\\r\\n m_Object = c;\\r\\n\\r\\n if (m_EditorComponent != null){\\r\\n m_EditorComponent.updateChildPropertySheet();\\r\\n if (trueChange){\\r\\n m_Support.firePropertyChange(\\\"\\\", null, null);\\r\\n }\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"911072dfab25cf59cfe5fe588f920209\",\n \"score\": \"0.49988535\",\n \"text\": \"public void setComposeRole(java.lang.String param){\\r\\n localComposeRoleTracker = param != null;\\r\\n \\r\\n this.localComposeRole=param;\\r\\n \\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8f8684384f4c2c7fb21e06535c51d298\",\n \"score\": \"0.499432\",\n \"text\": \"public void SetClassChang(ArrayList<String> obj)\\n {\\n \\tPlatform.runLater(new Runnable()\\n\\t\\t{\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic void run()\\n\\t\\t\\t{\\n\\t\\t\\t\\ttry\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tscreen.Secretary_ViewTeaApt(obj);\\n\\t\\t\\t\\t}catch(IOException e){\\n\\t\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t});\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"515a08d996604533b8bc6fc65af5f921\",\n \"score\": \"0.49734956\",\n \"text\": \"public void setTextNombreSubProceso(String text) { doSetText(this.$element_NombreSubProceso, text); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5ff7b88129e6093b9468ef71a058befc\",\n \"score\": \"0.49610803\",\n \"text\": \"public void setCaratula(cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Caratula caratula)\\r\\n {\\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Caratula target = null;\\r\\n target = (cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Caratula)get_store().find_element_user(CARATULA$0, 0);\\r\\n if (target == null)\\r\\n {\\r\\n target = (cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Caratula)get_store().add_element_user(CARATULA$0);\\r\\n }\\r\\n target.set(caratula);\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ce92bd312599b0c081848c1e1bbb4036\",\n \"score\": \"0.4960121\",\n \"text\": \"private Object[] getObjects_constrainInterpretation01_PATH_1_GOAL_3_COMPONENT_txtParcela2_6() {\\r\\n return new Object[] {\\r\\n module_entity_Action_1,\\r\\n module_entity_MERFunction_1,\\r\\n module_entity_RuleToHuman_1\\r\\n };\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1043f982264be792410e71a52cb7e064\",\n \"score\": \"0.49556497\",\n \"text\": \"public void setRole(java.lang.String param){\\r\\n localRoleTracker = param != null;\\r\\n \\r\\n this.localRole=param;\\r\\n \\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1043f982264be792410e71a52cb7e064\",\n \"score\": \"0.49556497\",\n \"text\": \"public void setRole(java.lang.String param){\\r\\n localRoleTracker = param != null;\\r\\n \\r\\n this.localRole=param;\\r\\n \\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71cb35380027ab52b0e9dd1885c6b6e5\",\n \"score\": \"0.49508017\",\n \"text\": \"public void setObjects(int ruleIndex, Object[] objects) {\\r\\n switch (ruleIndex) {\\r\\n case 0: setObjects_constrainInterpretation01_PATH_1_GOAL_1_COMPONENT_txtParcela1_0(objects); break;\\r\\n case 1: setObjects_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(objects); break;\\r\\n case 2: setObjects_constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2(objects); break;\\r\\n case 3: setObjects_constructDeeperUnderstanding02_PATH_1_GOAL_2_COMPONENT_txtOp_3(objects); break;\\r\\n case 4: setObjects_constrainInterpretation01_PATH_1_GOAL_2_COMPONENT_txtOp_4(objects); break;\\r\\n case 5: setObjects_constructDeeperUnderstanding03_PATH_1_GOAL_2_COMPONENT_txtOp_5(objects); break;\\r\\n case 6: setObjects_constrainInterpretation01_PATH_1_GOAL_3_COMPONENT_txtParcela2_6(objects); break;\\r\\n case 7: setObjects_constrainInterpretation02_PATH_1_GOAL_3_COMPONENT_txtParcela2_7(objects); break;\\r\\n case 8: setObjects_constructDeeperUnderstanding03_PATH_1_GOAL_3_COMPONENT_txtParcela2_8(objects); break;\\r\\n case 9: setObjects_constructDeeperUnderstanding02_PATH_1_GOAL_4_COMPONENT_txtResp_9(objects); break;\\r\\n case 10: setObjects_complementaryRoles_PATH_1_GOAL_4_COMPONENT_txtResp_10(objects); break;\\r\\n case 11: setObjects_constrainInterpretation02_PATH_1_GOAL_4_COMPONENT_txtResp_11(objects); break;\\r\\n case 12: setObjects_constructDeeperUnderstanding03_PATH_1_GOAL_4_COMPONENT_txtResp_12(objects); break;\\r\\n case 13: setObjects_constrainInterpretation01_PATH_2_GOAL_5_COMPONENT_txtParcela1_13(objects); break;\\r\\n case 14: setObjects_complementaryRoles_PATH_2_GOAL_5_COMPONENT_txtParcela1_14(objects); break;\\r\\n case 15: setObjects_constructDeeperUnderstanding03_PATH_2_GOAL_5_COMPONENT_txtParcela1_15(objects); break;\\r\\n case 16: setObjects_constructDeeperUnderstanding02_PATH_2_GOAL_6_COMPONENT_txtOp_16(objects); break;\\r\\n case 17: setObjects_constrainInterpretation01_PATH_2_GOAL_6_COMPONENT_txtOp_17(objects); break;\\r\\n case 18: setObjects_constructDeeperUnderstanding03_PATH_2_GOAL_6_COMPONENT_txtOp_18(objects); break;\\r\\n case 19: setObjects_constrainInterpretation01_PATH_2_GOAL_7_COMPONENT_txtParcela2_19(objects); break;\\r\\n case 20: setObjects_constrainInterpretation02_PATH_2_GOAL_7_COMPONENT_txtParcela2_20(objects); break;\\r\\n case 21: setObjects_constructDeeperUnderstanding03_PATH_2_GOAL_7_COMPONENT_txtParcela2_21(objects); break;\\r\\n case 22: setObjects_constructDeeperUnderstanding02_PATH_2_GOAL_8_COMPONENT_txtResp_22(objects); break;\\r\\n case 23: setObjects_complementaryRoles_PATH_2_GOAL_8_COMPONENT_txtResp_23(objects); break;\\r\\n case 24: setObjects_constrainInterpretation02_PATH_2_GOAL_8_COMPONENT_txtResp_24(objects); break;\\r\\n case 25: setObjects_constructDeeperUnderstanding03_PATH_2_GOAL_8_COMPONENT_txtResp_25(objects); break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"697c1ae306dc73d3bdc64593eb62803e\",\n \"score\": \"0.49404937\",\n \"text\": \"public void setPlco_nome(String plco_nome)\\n/* */ {\\n/* 78 */ this.plco_nome = plco_nome;\\n/* */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"724855201a94369bc0de6e1dd610c99c\",\n \"score\": \"0.49304387\",\n \"text\": \"public void setOleObj(org.openxmlformats.schemas.presentationml.x2006.main.CTOleObject oleObj)\\n {\\n synchronized (monitor())\\n {\\n check_orphaned();\\n org.openxmlformats.schemas.presentationml.x2006.main.CTOleObject target = null;\\n target = (org.openxmlformats.schemas.presentationml.x2006.main.CTOleObject)get_store().find_element_user(OLEOBJ$0, 0);\\n if (target == null)\\n {\\n target = (org.openxmlformats.schemas.presentationml.x2006.main.CTOleObject)get_store().add_element_user(OLEOBJ$0);\\n }\\n target.set(oleObj);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7f63f7984557d402a412c345866b89c7\",\n \"score\": \"0.4929335\",\n \"text\": \"public void setTransportista(Transportista transportista)\\r\\n/* 601: */ {\\r\\n/* 602:770 */ this.transportista = transportista;\\r\\n/* 603: */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dc5e3867a7a0a28c32bbbd5e4b95c040\",\n \"score\": \"0.49277171\",\n \"text\": \"private boolean complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1_cond_1() {\\r\\n return (module_entity_Action_1.getGoal().getPath().getId().equals(1));\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"abd294e69e5c0c879e5a8536ae8dbc6a\",\n \"score\": \"0.49240395\",\n \"text\": \"private void setArticleRole(ArticleFiles af, CachedUrl cu, String role) {\\n\\n if ((cu != null) && (cu.hasContent())) {\\n if (role != null) {\\n af.setRoleCu(role, cu);\\n }\\n }\\n AuUtil.safeRelease(cu);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ce160b7a39ba120ec2b415e90d6027b7\",\n \"score\": \"0.49216208\",\n \"text\": \"public void setTextSubproceso(String text) { doSetText(this.$element_Subproceso, text); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1726f4b526fab97c31c4ea0730ab67ec\",\n \"score\": \"0.4917489\",\n \"text\": \"private void constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2() {\\n\\t\\t\\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \\\"Regra acionada para classificar a Função da MRE: constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_ \\\\n\\\");\\n\\t\\t\\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \\\" Condições: \\\\n\\\");\\n\\t\\t\\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \\\" \\\\t Tipo de Erro = Solução Não Categorizável \\\\n\\\");\\n\\t\\t\\tmodule_entity_MERFunction_1.setType(Constants.TIPO_FUNCAOMRE_COMPREENSAO_MAIS_APROFUNDADA);\\n\\t\\t\\tmodified(module_entity_MERFunction_1);\\n\\t\\t\\tmodified(module_entity_RuleToHuman_1);\\n\\t\\t\\tSystem.out.println(\\\"Função MRE: Compreensão Mais Aprofundada\\\");\\n\\t\\t\\tflush();\\n\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c56589f3904044cc84011ffa1cb6ca0c\",\n \"score\": \"0.49158168\",\n \"text\": \"public void setProgramme(ListeProgramme lp) {\\n this.programme = lp;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e5acd1742dc7d2a4bc20d84318d23b1a\",\n \"score\": \"0.49126872\",\n \"text\": \"protected void addPlazoSolicitudPropertyDescriptor(Object object) {\\r\\n\\t\\titemPropertyDescriptors.add\\r\\n\\t\\t\\t(\\r\\n\\t\\t\\tcreateItemPropertyDescriptor\\r\\n\\t\\t\\t\\t(((ComposeableAdapterFactory)adapterFactory).getRootAdapterFactory(),\\r\\n\\t\\t\\t\\t getResourceLocator(),\\r\\n\\t\\t\\t\\t getString(\\\"_UI_TramitacionProcedimiento_plazoSolicitud_feature\\\"),\\r\\n\\t\\t\\t\\t getString(\\\"_UI_PropertyDescriptor_description\\\", \\\"_UI_TramitacionProcedimiento_plazoSolicitud_feature\\\", \\\"_UI_TramitacionProcedimiento_type\\\"),\\r\\n\\t\\t\\t\\t SimapaPackage.Literals.TRAMITACION_PROCEDIMIENTO__PLAZO_SOLICITUD,\\r\\n\\t\\t\\t\\t true,\\r\\n\\t\\t\\t\\t false,\\r\\n\\t\\t\\t\\t false,\\r\\n\\t\\t\\t\\t ItemPropertyDescriptor.GENERIC_VALUE_IMAGE,\\r\\n\\t\\t\\t\\t null,\\r\\n\\t\\t\\t\\t null));\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d3eb577e045e4783ec56c3cc67a3cd0\",\n \"score\": \"0.49110705\",\n \"text\": \"public void setDataObjSelected(Node selected) throws NoSuchFieldException {\\n //Preenche os campos com os dados do objeto selecionado ao selecionar o objeto\\n if (selected instanceof Activity) {\\n Activity activitySelected = (Activity) selected;\\n txt_act_name.setText(activitySelected.getName());\\n txt_act_description.setText(activitySelected.getDescription());\\n txt_act_activation.setText(activitySelected.getActivation());\\n txt_act_input_filename.setText(activitySelected.getInput_filename());\\n txt_act_output_filename.setText(activitySelected.getOutput_filename());\\n\\n chb_act_type.getSelectionModel().select(activitySelected.getType());\\n chb_sleeptime.getSelectionModel().select(activitySelected.getTimeCommand());\\n\\n //Resgatando os fields ao selecionar a Activity\\n FieldType.FILE.getController().addListField(activitySelected.getFields());\\n\\n try {\\n String text_ta_commands = \\\"\\\";\\n for (String command : activitySelected.getCommands()) {\\n text_ta_commands += command + \\\"\\\\n\\\";\\n }\\n ta_commands.setText(text_ta_commands);\\n } catch (Exception e) {\\n ta_commands.setText(\\\"\\\");\\n }\\n }\\n //Colocar aqui os outros Entity, Agent...\\n //chb_act_type.selectionModelProperty().setValue(activitySelected.getType());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6873dede4205810cd9292efb8672332e\",\n \"score\": \"0.49072993\",\n \"text\": \"private Object[] getObjects_constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2() {\\r\\n return new Object[] {\\r\\n module_entity_Action_1,\\r\\n module_entity_MERFunction_1,\\r\\n module_entity_RuleToHuman_1\\r\\n };\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"672c9583d083e12f68229bba94f618bd\",\n \"score\": \"0.49056664\",\n \"text\": \"public void setDepartmentRole(java.lang.String param){\\r\\n localDepartmentRoleTracker = param != null;\\r\\n \\r\\n this.localDepartmentRole=param;\\r\\n \\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7a7d5d8e07703661e3f53993a0e6fa15\",\n \"score\": \"0.48996764\",\n \"text\": \"private Object[] getObjects_constrainInterpretation01_PATH_2_GOAL_5_COMPONENT_txtParcela1_13() {\\r\\n return new Object[] {\\r\\n module_entity_Action_1,\\r\\n module_entity_MERFunction_1,\\r\\n module_entity_RuleToHuman_1\\r\\n };\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39df64e0dc171aa26ce58c44f8fa308f\",\n \"score\": \"0.48931873\",\n \"text\": \"private Object getObject_constructDeeperUnderstanding03_PATH_1_GOAL_1_COMPONENT_txtParcela1_2(int index) {\\r\\n switch (index) {\\r\\n case 0: return module_entity_Action_1;\\r\\n case 1: return module_entity_MERFunction_1;\\r\\n case 2: return module_entity_RuleToHuman_1;\\r\\n default: return null;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd53ff97dafec44c1d7575f1c7e028b1\",\n \"score\": \"0.48919496\",\n \"text\": \"private void setObjects_constrainInterpretation01_PATH_2_GOAL_6_COMPONENT_txtOp_17(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dc224f44644d90ca3c2899abfb382577\",\n \"score\": \"0.48857814\",\n \"text\": \"private Object getObject_constrainInterpretation01_PATH_2_GOAL_7_COMPONENT_txtParcela2_19(int index) {\\r\\n switch (index) {\\r\\n case 0: return module_entity_Action_1;\\r\\n case 1: return module_entity_MERFunction_1;\\r\\n case 2: return module_entity_RuleToHuman_1;\\r\\n default: return null;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6d3e0475389e59c1bd46bec026c8ac81\",\n \"score\": \"0.48833168\",\n \"text\": \"public void xsetAnulado(cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Detalle.Anulado anulado)\\r\\n {\\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Detalle.Anulado target = null;\\r\\n target = (cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Detalle.Anulado)get_store().find_element_user(ANULADO$4, 0);\\r\\n if (target == null)\\r\\n {\\r\\n target = (cl.sii.siiDte.libroboletas.LibroBoletaDocument.LibroBoleta.EnvioLibro.Detalle.Anulado)get_store().add_element_user(ANULADO$4);\\r\\n }\\r\\n target.set(anulado);\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c734d7f8d0147b3ab1ec500ca5ec3071\",\n \"score\": \"0.48821962\",\n \"text\": \"private RolePermisionUltil(String roleUltil){\\r\\n this.roleUltil = roleUltil;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7f64fb9a21fd48c3508c8271e99a2220\",\n \"score\": \"0.48764178\",\n \"text\": \"private void constructDeeperUnderstanding03_PATH_2_GOAL_5_COMPONENT_txtParcela1_15() {\\n\\t\\t\\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \\\"Regra acionada para classificar a Função da MRE: constructDeeperUnderstanding03_PATH_2_GOAL_5_COMPONENT_txtParcela1_ \\\\n\\\");\\n\\t\\t\\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \\\" Condições: \\\\n\\\");\\n\\t\\t\\tmodule_entity_RuleToHuman_1.setDescription(module_entity_RuleToHuman_1.getDescription() + \\\" \\\\t Tipo de Erro = Solução Não Categorizável \\\\n\\\");\\n\\t\\t\\tmodule_entity_MERFunction_1.setType(Constants.TIPO_FUNCAOMRE_COMPREENSAO_MAIS_APROFUNDADA);\\n\\t\\t\\tmodified(module_entity_MERFunction_1);\\n\\t\\t\\tmodified(module_entity_RuleToHuman_1);\\n\\t\\t\\tSystem.out.println(\\\"Função MRE: Compreensão Mais Aprofundada\\\");\\n\\t\\t\\tflush();\\n\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"25b7dba4d4e3a5c0fc42432e9c5f7c7c\",\n \"score\": \"0.48635527\",\n \"text\": \"private String getDeclaredClassName_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(int index) {\\r\\n switch (index) {\\r\\n case 0: return \\\"module.entity.Action\\\";\\r\\n case 1: return \\\"module.entity.MERFunction\\\";\\r\\n case 2: return \\\"module.entity.RuleToHuman\\\";\\r\\n default: return null;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cfe66946bcc2da186b8e9786694e242c\",\n \"score\": \"0.48611158\",\n \"text\": \"public boolean setObject(String object);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b79d3901ec89f765110147fdf6c0da95\",\n \"score\": \"0.48505616\",\n \"text\": \"private boolean complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1_cond_0() {\\r\\n return (((WrongAnswer)module_entity_Action_1.getAnswer()).getType() == Constants.TIPO_ERRO_INTERPRETACAO_EQUIVOCADA);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71c088da5e7f56bd268df48589f14133\",\n \"score\": \"0.4848509\",\n \"text\": \"public void setObject(nl.pdekker.nts._3_0.Object_type[] object) {\\n this.object = object;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c9070ff601bc2d0467254682079892d5\",\n \"score\": \"0.4848431\",\n \"text\": \"public void setTexto(String texto) {\\r\\n this.texto = texto;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"992ffeb4c4a91c4c8f9f08f85e4420dc\",\n \"score\": \"0.48462716\",\n \"text\": \"@Override\\r\\n\\tpublic void editar(ContaPoupanca objeto) {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"15edb723cb96a2d491343fbb7cc15462\",\n \"score\": \"0.48453045\",\n \"text\": \"public abstract void setTestoComponente(String testoComponente);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cb973a5cc11d84fc296c04fa562860c1\",\n \"score\": \"0.48434645\",\n \"text\": \"public void setObject(GameObject object) {\\r\\n this.object = object;\\r\\n setEmpty(false);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f4c1ca5f30410a1be7366064b5831c8a\",\n \"score\": \"0.48417613\",\n \"text\": \"private void setObject_constructDeeperUnderstanding02_PATH_1_GOAL_2_COMPONENT_txtOp_3(int index, Object value) {\\r\\n switch (index) {\\r\\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\\r\\n case 1: this.module_entity_MERFunction_1 = (module.entity.MERFunction) value; break;\\r\\n case 2: this.module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) value; break;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"115e97b28a76e15dc4122dacfda9d380\",\n \"score\": \"0.48354393\",\n \"text\": \"public void setComparesource(noNamespace.SourceType comparesource)\\r\\n {\\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n noNamespace.SourceType target = null;\\r\\n target = (noNamespace.SourceType)get_store().find_element_user(COMPARESOURCE$2, 0);\\r\\n if (target == null)\\r\\n {\\r\\n target = (noNamespace.SourceType)get_store().add_element_user(COMPARESOURCE$2);\\r\\n }\\r\\n target.set(comparesource);\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"115e97b28a76e15dc4122dacfda9d380\",\n \"score\": \"0.48354393\",\n \"text\": \"public void setComparesource(noNamespace.SourceType comparesource)\\r\\n {\\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n noNamespace.SourceType target = null;\\r\\n target = (noNamespace.SourceType)get_store().find_element_user(COMPARESOURCE$2, 0);\\r\\n if (target == null)\\r\\n {\\r\\n target = (noNamespace.SourceType)get_store().add_element_user(COMPARESOURCE$2);\\r\\n }\\r\\n target.set(comparesource);\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"409118ca18b1da3507b0af7c9218311d\",\n \"score\": \"0.48319137\",\n \"text\": \"public void setTerm(CourseComponentTerm term) {\\n\\t\\tthis.term = term;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2da33f8a9d23a6d08ef391c1ece472e4\",\n \"score\": \"0.48302263\",\n \"text\": \"public void setLingue(List<LinguaBean> obj)\\r\\n {\\r\\n lingue = obj;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8da963760c8ff3e49e4a3d046364f772\",\n \"score\": \"0.4816243\",\n \"text\": \"private void setObjects_constructDeeperUnderstanding02_PATH_1_GOAL_2_COMPONENT_txtOp_3(Object[] objects) {\\r\\n module_entity_Action_1 = (module.entity.Action) objects[0];\\r\\n module_entity_MERFunction_1 = (module.entity.MERFunction) objects[1];\\r\\n module_entity_RuleToHuman_1 = (module.entity.RuleToHuman) objects[2];\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bad53963977de940084f7bd7181d8b1e\",\n \"score\": \"0.48153746\",\n \"text\": \"@Test\\r\\n public void testSetEditableTexto() {\\r\\n System.out.println(\\\"setEditableTexto\\\");\\r\\n Component cm = null;\\r\\n boolean habilitar = false;\\r\\n Component[] excepcion = null;\\r\\n boolean limpiar = false;\\r\\n String valor = \\\"\\\";\\r\\n ECampos.setEditableTexto(cm, habilitar, excepcion, limpiar, valor);\\r\\n // TODO review the generated test code and remove the default call to fail.\\r\\n fail(\\\"The test case is a prototype.\\\");\\r\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992495,"cells":{"query_id":{"kind":"string","value":"3550b1132ae1445b128dae2e55ba00a8"},"query":{"kind":"string","value":"DataAccessObject Interface Extend the ReadOnly form (for Get), and add manipulation methods"},"positive_passages":{"kind":"list like","value":[{"docid":"2d255a9f50314737af37da9bdb7421bf","score":"0.61414695","text":"public interface DAO<TRANS extends Trans,DATA> extends DAO_RO<TRANS,DATA> {\n\tpublic Result<DATA> create(TRANS trans, DATA data);\n\tpublic Result<Void> update(TRANS trans, DATA data);\n\t// In many cases, the data has been correctly read first, so we shouldn't read again\n\t// Use reread=true if you are using DATA with only a Key\n\tpublic Result<Void> delete(TRANS trans, DATA data, boolean reread);\n\tpublic Object[] keyFrom(DATA data);\n}","title":""}],"string":"[\n {\n \"docid\": \"2d255a9f50314737af37da9bdb7421bf\",\n \"score\": \"0.61414695\",\n \"text\": \"public interface DAO<TRANS extends Trans,DATA> extends DAO_RO<TRANS,DATA> {\\n\\tpublic Result<DATA> create(TRANS trans, DATA data);\\n\\tpublic Result<Void> update(TRANS trans, DATA data);\\n\\t// In many cases, the data has been correctly read first, so we shouldn't read again\\n\\t// Use reread=true if you are using DATA with only a Key\\n\\tpublic Result<Void> delete(TRANS trans, DATA data, boolean reread);\\n\\tpublic Object[] keyFrom(DATA data);\\n}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"2888867b2acf6675e8dc323e59bc577c","score":"0.65610975","text":"public interface DataAccessObject {\r\n\r\n\t/**\r\n\t * Permet d'ajouter une note a la base de donnee.\r\n\t * \r\n\t * @param note\r\n\t * La note a ajouter.\r\n\t */\r\n\tvoid ajouterNote(Note note);\r\n\r\n\t/**\r\n\t * Permet d'ajouter une matiere a la base de donnee.\r\n\t * \r\n\t * @param matiere\r\n\t * La matiere a ajouter.\r\n\t */\r\n\tvoid ajouterMatiere(Matiere matiere);\r\n\r\n\t/**\r\n\t * Permet d'ajouter un semestre a la base de donnee.\r\n\t * \r\n\t * @param semestre\r\n\t * Le semestre a ajouter.\r\n\t */\r\n\tvoid ajouterSemestre(Semestre semestre);\r\n\r\n\t/**\r\n\t * Permet d'ajouter une personne a la base de donnee.\r\n\t * \r\n\t * @param personne\r\n\t * La personne a ajouter.\r\n\t */\r\n\tvoid ajouterPersonne(Personne personne);\r\n\r\n\t/**\r\n\t * Permet d'ajouter une adresse a la base de donnee.\r\n\t * \r\n\t * @param adresse\r\n\t * L'adresse a ajouter.\r\n\t */\r\n\tvoid ajouterAdresse(Adresse adresse);\r\n\r\n\t/**\r\n\t * Permet d'ajouter un ue a la base de donnee.\r\n\t * \r\n\t * @param ue\r\n\t * L'ue a ajouter.\r\n\t */\r\n\tvoid ajouterUe(UniteEnseignement ue);\r\n\r\n\t/**\r\n\t * Permet de supprimer une adresse de la base de donnee.\r\n\t * \r\n\t * @param idAdresse\r\n\t * L'id de l'adresse a supprimer.\r\n\t */\r\n\tvoid supprimerAdresse(Integer idAdresse);\r\n\r\n\t/**\r\n\t * Permet de supprimer une note de la base de donnee.\r\n\t * \r\n\t * @param idNote\r\n\t * L'id de la note a supprimer.\r\n\t */\r\n\tvoid supprimerNote(Integer idNote);\r\n\r\n\t/**\r\n\t * Permet de supprimer une matiere de la base de donnee.\r\n\t * \r\n\t * @param idMatiere\r\n\t * L'id de la matiere a supprimer.\r\n\t */\r\n\tvoid supprimerMatiere(Integer idMatiere);\r\n\r\n\t/**\r\n\t * Permet de supprimer un semestre de la base de donnee.\r\n\t * \r\n\t * @param idSemestre\r\n\t * L'id du semestre a supprimer.\r\n\t */\r\n\tvoid supprimerSemestre(Integer idSemestre);\r\n\r\n\t/**\r\n\t * Permet de supprimer une personne de la base de donnee.\r\n\t * \r\n\t * @param idPersonne\r\n\t * L'id de la personne � supprimer.\r\n\t */\r\n\tvoid supprimerPersonne(Integer idPersonne);\r\n\r\n\t/**\r\n\t * Permet de supprimer un ue de la base de donnee.\r\n\t * \r\n\t * @param ue\r\n\t * L'ue a supprimer.\r\n\t */\r\n\tvoid supprimerUe(UniteEnseignement ue);\r\n\r\n\t/**\r\n\t * Permet de recuperer la liste des notes en base de donnee.\r\n\t * \r\n\t * @return La liste des notes.\r\n\t * \r\n\t */\r\n\tList<Note> recupererNotes();\r\n\r\n\t/**\r\n\t * Permet de recuperer la liste des professeurs en base de donnee.\r\n\t * \r\n\t * @return La liste des professeurs.\r\n\t * \r\n\t */\r\n\tList<Professeur> recupererProfesseurs();\r\n\r\n\t/**\r\n\t * Permet de recuperer la liste des administrateurs en base de donnee.\r\n\t * \r\n\t * @return La liste des administrateurs.\r\n\t * \r\n\t */\r\n\tList<Administrateur> recupererAdministrateurs();\r\n\r\n\t/**\r\n\t * Permet de recuperer la liste des etudiants en base de donnee.\r\n\t * \r\n\t * @param promotion\r\n\t * La promotion a recuperer, recupere tous les etudiants si null.\r\n\t * \r\n\t * @return La liste des eleves.\r\n\t * \r\n\t */\r\n\tList<Etudiant> recupererEtudiants(String promotion);\r\n\r\n\t/**\r\n\t * Permet de recuperer la liste des matieres en base de donnee.\r\n\t * \r\n\t * @return La liste des matieres.\r\n\t * \r\n\t */\r\n\tList<Matiere> recupererMatieres();\r\n\r\n\t/**\r\n\t * Permet de recuperer la liste des matieres en base de donnee.\r\n\t * \r\n\t * @return La liste des matieres.\r\n\t * \r\n\t */\r\n\tList<Adresse> recupererAdresses();\r\n\r\n\t/**\r\n\t * Permet de recuperer la liste des semestres en base de donnee.\r\n\t * \r\n\t * @return La liste des semestres.\r\n\t * \r\n\t */\r\n\tList<Semestre> recupererSemestres();\r\n\r\n\t/**\r\n\t * Permet de recuperer la liste des ue en base de donnee.\r\n\t * \r\n\t * @return La liste des ue.\r\n\t * \r\n\t */\r\n\tList<UniteEnseignement> recupererUe();\r\n\r\n}","title":""},{"docid":"5ab45f736b56e4d62f5005de1808da69","score":"0.6557942","text":"public <T extends PersistentObject> ORMLiteAccessObject<T> getDataAccessObject(Class<T> clazz);","title":""},{"docid":"306c12e749a8874ba287f8e247cd5e76","score":"0.6486622","text":"public interface IDataAccessObject<T>\n{\n\t/**\n\t * Adds the meal to the database.\n\t * @param entity the meal\n\t */\n\tvoid Add(T entity);\n\n\n\t/**\n\t * Removes the meal to the database.\n\t * @param entity the meal\n\t */\n\tvoid Remove(T entity);\n\n\t/**\n\t * Lists all the meal.\n\t * @return list with all the meal\n\t */\n\tList<T> All();\n}","title":""},{"docid":"ec07cdc9c66ed2f2acac02aafe32c336","score":"0.64759696","text":"public interface ApproachShotLineDAO extends DAO {\r\n\r\n\t/**\r\n\t * Get the description\r\n\t * @return\r\n\t */\r\n\tString getDescription();\r\n\t\r\n\t/**\r\n\t * Set the description\r\n\t * @param aDescription\r\n\t */\r\n\tvoid setDescription(String aDescription);\r\n\t\r\n\t/**\r\n\t * Get the short description\r\n\t * @return\r\n\t */\r\n\tString getShortDescription();\r\n\t\r\n\t/**\r\n\t * Set the short description\r\n\t * @param aDescription\r\n\t */\r\n\tvoid setShortDescription(String aDescription);\r\n}","title":""},{"docid":"82e6fd7d17e32588f0e78723fb3a4d8a","score":"0.64310235","text":"public interface DataObjectService {\n public List<DataObject> findAll();\n public DataObject findById(Integer objectId);\n public boolean addObject(DataObject object);\n public boolean editObject(DataObject object, Integer objectId);\n public boolean removeObject(Integer objectId);\n}","title":""},{"docid":"8f3de2242849b79a9e66497c6206e493","score":"0.6253013","text":"public interface ItemTramiteDAO {\r\n\r\n\t/**\r\n\t * Select list.\r\n\t *\r\n\t * @param criterio\r\n\t * the criterio\r\n\t * @return the list\r\n\t */\r\n\tList<ItemTramiteVO> selectList(final ItemTramiteCriterioVO criterio);\r\n\r\n\t/**\r\n\t * Select object.\r\n\t *\r\n\t * @param criterio\r\n\t * the criterio\r\n\t * @return the item tramite VO\r\n\t */\r\n\tItemTramiteVO selectObject(final ItemTramiteCriterioVO criterio);\r\n\r\n\t/**\r\n\t * Insert.\r\n\t *\r\n\t * @param vo\r\n\t * the vo\r\n\t */\r\n\tvoid insert(final ItemTramiteVO vo);\r\n}","title":""},{"docid":"30185fe7d9f0ea880502c68e0b02f955","score":"0.624806","text":"public interface DbAccess {\n\n /**\n * 读取数据\n *\n * @param key\n */\n Optional<Object> get(String key);\n\n /**\n * 增加数据\n *\n * @param key\n * @param value\n */\n void put(String key, Object value);\n\n /**\n * 按前缀查找\n *\n * @param prefix\n * @param <T>\n * @return\n */\n <T> List<T> selectByPrefix(String prefix);\n\n /**\n * 关闭数据库连接\n */\n void closeDB();\n\n /**\n * 删除key\n */\n void delete(String key);\n}","title":""},{"docid":"793ad09c4d32b1895741cba4c3e5c634","score":"0.62273973","text":"public interface IBaseDAO <T,I>{\n boolean set(List<T> obj) throws SQLException;\n List<T> get(List<I> ids) throws SQLException;\n boolean delete(List<I> ids) throws SQLException;\n }","title":""},{"docid":"231201ca7b47282fb7f2d1ddc9fa4c02","score":"0.6176931","text":"public interface GenericDaoReadOnly<T, ID extends Serializable, S extends SearchCriteria>\n{\n\t/** \n\t * TODO\n\t * loads an object from persistence using its id\n\t *\n\t * @throws DataAccessException if the object with that id is not found\n\t */\n\tpublic T load(ID id) throws DataAccessException;\n\t\n\t/**\n\t * TODO\n\t * Search for objects considering the given search criteria\n\t * @param searchCriteria\n\t * @return PageList<T>\n\t */\n\tpublic List<T> findByCriteria(S searchCriteria);\n\t\n\t/**\n\t * TODO\n\t * @param searchCriteria\n\t */\n\tpublic int count(S searchCriteria);\n}","title":""},{"docid":"b22871395c5b305eb299936e64739ae7","score":"0.6090775","text":"public interface CustomersDAO {\n void addCustomers(Customers customers);\n void readCustomers(int id);\n\n void updateCustomers(String name, int id);\n void deleteCustomers(int id);\n\n List<Customers> getAllCustomers();\n}","title":""},{"docid":"c0b8160d6512d8fcc50523607ccd2d2c","score":"0.6077784","text":"public interface UserDataAccess {\n\n public User getUser(Long userId);\n\n}","title":""},{"docid":"92a25d14205e2160748a79f62d4963ca","score":"0.6063281","text":"public interface PersistenceOperationsDAO {\n\n public List query(int id);\n\n public void insert(Object object);\n\n public void delete(int id);\n\n public void update(Object object);\n}","title":""},{"docid":"74107ed51321695c1ea15fc630c9e748","score":"0.6040955","text":"public interface DataEntity {\n}","title":""},{"docid":"0cd80092c0c6b75f7c1b47a86195af3b","score":"0.6036066","text":"public interface ProcesoDAO {\r\n\r\n /**\r\n * Count.\r\n *\r\n * @param criterio\r\n * the criterio\r\n * @return the int\r\n */\r\n int count(final ProcesoCriterioVO criterio);\r\n\r\n /**\r\n * Select list.\r\n *\r\n * @param criterio\r\n * the criterio\r\n * @param bounds\r\n * the bounds\r\n * @return the list\r\n */\r\n List<ProcesoVO> selectList(final ProcesoCriterioVO criterio, final RowBounds bounds);\r\n\r\n /**\r\n * Select list.\r\n *\r\n * @param criterio\r\n * the criterio\r\n * @return the list\r\n */\r\n List<ProcesoVO> selectList(final ProcesoCriterioVO criterio);\r\n\r\n /**\r\n * Select object.\r\n *\r\n * @param criterio\r\n * the criterio\r\n * @return the proceso VO\r\n */\r\n ProcesoVO selectObject(final ProcesoCriterioVO criterio);\r\n\r\n /**\r\n * Insert.\r\n *\r\n * @param prbt\r\n * the prbt\r\n */\r\n void insert(final ProcesoVO prbt);\r\n\r\n /**\r\n * Delete.\r\n *\r\n * @param prbt\r\n * the prbt\r\n * @return the int\r\n */\r\n int delete(final ProcesoVO prbt);\r\n\r\n /**\r\n * Update iniciar.\r\n *\r\n * @param prbtId\r\n * the prbt id\r\n * @return the int\r\n */\r\n int updateIniciar(final Long prbtId);\r\n\r\n /**\r\n * Update finalizar.\r\n *\r\n * @param prbt\r\n * the prbt\r\n * @return the int\r\n */\r\n int updateFinalizar(final ProcesoVO prbt);\r\n}","title":""},{"docid":"d462d1f0b6a92db6f75dc43ddc3e7ee7","score":"0.601296","text":"public interface DatabaseAccessor {\r\n\r\n /**\r\n * Returns the identificator.\r\n * \r\n * @return the identificator\r\n * @throws DataAccessException\r\n */\r\n Identificator getIdentificator() throws DataAccessException;\r\n\r\n /**\r\n * Reads a field value.\r\n * \r\n * @param <E>\r\n * the field type\r\n * @param context\r\n * the context\r\n * @return the field value\r\n * @throws DataAccessException\r\n * if reading the field from the database occured an error\r\n * @throws UnsupportedFieldTypeException\r\n * if the field type is not supported by the driver\r\n */\r\n <E> E getFieldValue( FieldContext<E> context ) throws DataAccessException, UnsupportedFieldTypeException;\r\n\r\n /**\r\n * Sets a field value. This value change must not be persistent until the\r\n * {@link #store()} method is invoked.\r\n * \r\n * @param <E>\r\n * the field type\r\n * @param context\r\n * the context\r\n * @param value\r\n * the converted value\r\n * @throws DataAccessException\r\n * if storing the value to the database occured an error\r\n * @throws UnsupportedFieldTypeException\r\n * if the field type is not supported by the driver\r\n */\r\n <E> void setFieldValue( FieldContext<E> context, E value ) throws DataAccessException, UnsupportedFieldTypeException;\r\n\r\n /**\r\n * Returns all available field names.\r\n * \r\n * @return the field names\r\n * @throws DataAccessException\r\n */\r\n String[] getFields() throws DataAccessException;\r\n\r\n}","title":""},{"docid":"0c3cac38a0e2230f73dc24755d28c013","score":"0.59964985","text":"@Override\n\tpublic Carte update(Carte carte) throws DataAccessException {\n\t\treturn null;\n\t}","title":""},{"docid":"06891c66763b1adca31bead0fa5a9a8e","score":"0.5994824","text":"public interface IStudentDao {\n public void add(Student student) ;\n\n public void delete(int id) ;\n\n public void update(Student student) ;\n\n public Student get(int id);\n\n public List<Student> getAll();\n}","title":""},{"docid":"97be7c8501bce1f69e344fb384d99a47","score":"0.5992453","text":"public interface CustomerDAO {\r\n\t\r\n\tpublic int insertCustomer();\r\n\tpublic boolean deleteCustomer();\r\n\tpublic CustomerTO findCustomer();\r\n\tpublic boolean updateCustomer();\r\n\tpublic RowSet selectCustomersRS();\r\n\tpublic Collection<String> selectCustomersTO();\r\n\r\n}","title":""},{"docid":"0d72b4c2601c32a3a8dd8393e6d7e925","score":"0.59521073","text":"Developer readDeveloperById(int id) throws DataAccessException;","title":""},{"docid":"74b7d6f9b9d9c5d72ee2581ea502de78","score":"0.5950805","text":"public interface UserCredentialsDAO extends DBDAO<UserCredentials> {\n //Define non-standard CRUD methods.\n}","title":""},{"docid":"c6cad8433d7cf3f0cdb28fe3463e1995","score":"0.59481984","text":"public interface IDaoEntity<T>{\r\n\t/**\r\n\t * creates/saves entity to storage\r\n\t * @param entity - to be saved\r\n\t * @return created entity, with id set\r\n\t */\r\n\tT create(T entity);\r\n\t/**\r\n\t * read entity from storage\r\n\t * @param id - id of entity in storage \r\n\t * @return entity loaded from storage\r\n\t */\r\n\tT read (long id);\r\n\t/**\r\n\t * edit existing entity\r\n\t * @param entity - information to update storage\r\n\t * @return entity containing info before update\r\n\t */\r\n\tT update(T entity);\r\n\t/**\r\n\t * delete entity from storage\r\n\t * @param id - of entity to be deleted\r\n\t * @return deleted entity - returned entity will not have reference in storage\r\n\t */\r\n\tT delete(long id);\r\n\t/**\r\n\t * read all entities\r\n\t * @return list of all entities \r\n\t */\r\n\tList<T> readAll();\r\n\t\r\n}","title":""},{"docid":"f3cd9ff1e22eb8dfebde12dcc6e34d9e","score":"0.59432197","text":"public interface IGeneralDataService<T> {\n\n /**\n * Creates a new record or updates an existing one.\n * @param record The object to persist/update\n * @return The same instance that was persisted/updated\n * @throws Exception When an error occurs\n */\n public T createOrUpdate(T record) throws Exception;\n /**\n * Deletes a record from the database.\n * @param record The entity to remove\n * @throws Exception When an error occurs\n */\n public void delete(T record) throws Exception;\n /**\n * Finds a record by its id\n * @param id Database ID for the record\n * @return The object represented by the specified ID\n * @throws Exception When an error occurs\n */\n public T getRecord(int id) throws Exception;\n /**\n * Finds the records that match the specified conditions\n * @param filters List of {@link QueryFilter} objects that represent the restrictions for the search\n * @param orderBy Name of the property to order the results over, pass {@code null} if no explicit\n * ordering is required\n * @param ascending {@code true} for ascending ordering, {@code false} otherwise\n * @return A list of objects of type {@code T}\n * @throws Exception When an error occurs\n */\n public List<T> getRecordsList(List<QueryFilter> filters, String orderBy, boolean ascending) throws Exception;\n}","title":""},{"docid":"30a64c9fd5602f3864aeb6909254d724","score":"0.59356594","text":"public interface ReadOnlyCatalogue {\n\n /**\n * Returns an unmodifiable view of the books list.\n * This list will not contain any duplicate books.\n */\n ObservableList<Book> getBookList();\n\n /**\n * Returns an unmodifiable view of the tags list.\n * This list will not contain any duplicate tags.\n */\n ObservableList<Tag> getTagList();\n\n}","title":""},{"docid":"f3a15492585aec1fbde69b9faa4904f7","score":"0.59317523","text":"public interface IPriceDAO {\r\n\t\r\n\tpublic boolean save(Price price);\r\n\r\n\tpublic boolean update(Price price);\r\n\r\n\tpublic boolean delete(Price price);\r\n\r\n\tpublic boolean delete(Integer priceID);\r\n\r\n\tpublic Price findById(Integer priceID);\r\n\r\n\tpublic List<Price> findAll();\r\n\t\r\n\tpublic List<Price> findByProperty(String name, Object proValue);\r\n}","title":""},{"docid":"924cc55be870cf3027a52308bdc6af8f","score":"0.592143","text":"public interface InterfaceDAO<T> {\n\n boolean create(T entity) throws SQLException;\n T read(int id) throws SQLException;\n boolean update(T entity) throws SQLException;\n boolean delete(T entity) throws SQLException;\n\n List<T> getAll(String whereString) throws SQLException;\n\n\n\n}","title":""},{"docid":"67d38e3abfd6cd18c81e5235f76d0543","score":"0.59151363","text":"public interface OpertDAO extends BaseMapper<OpertInfo> {\n int insertOpertInfo(OpertInfo opertInfo);\n int CopyOpertInfo(OpertInfo opertInfo);\n int deleteByRuid(int opertRd);\n int editByRuid(OpertInfo opertInfo);\n List<OpertInfo> GetAllOpertInfo();\n OpertInfo GetOpertInfoByRuid(int argRuid);\n OpertInfo GetOpertInfoByGuid(String argGuid);\n\n //查询操作名称信息--LFZ\n OpertInfo SelectoptName(String optName);\n}","title":""},{"docid":"0375eae1013f67e9d927ab8ca4f19e80","score":"0.5911904","text":"public ForbiddenDO selectByIdForUpdate(@Param(\"id\")String id) throws DataAccessException;","title":""},{"docid":"4dde2dd73d0da0d3e2bce39a321c09bc","score":"0.5910565","text":"public interface CourseTermDAO {\r\n\r\n /**\r\n * Return an Organization object for the id.\r\n *\r\n * @param id\r\n */\r\n CourseTermEntity findById(String id);\r\n\r\n void add(CourseTermEntity instance);\r\n\r\n void update(CourseTermEntity instance);\r\n\r\n void remove(CourseTermEntity instance);\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n}","title":""},{"docid":"f9d1b4f115f2103b3632e4dec7ec2cd0","score":"0.5904387","text":"public interface DataPropertyStatementDao {\n\n void deleteDataPropertyStatement(DataPropertyStatement dataPropertyStmt);\n\n @Deprecated\n List getExistingQualifiers(String dataPropertyURI);\n\n List<DataPropertyStatement> getDataPropertyStatements(DataProperty dataProperty);\n\n List<DataPropertyStatement> getDataPropertyStatements(DataProperty dataProperty, int startIndex, int endIndex);\n\n @SuppressWarnings(\"unchecked\")\n Collection<DataPropertyStatement> getDataPropertyStatementsForIndividualByDataPropertyURI(Individual entity,String datapropURI);\n\n Individual fillExistingDataPropertyStatementsForIndividual(Individual individual/*, boolean allowAnyNameSpace*/);\n\n void deleteDataPropertyStatementsForIndividualByDataProperty(String individualURI, String dataPropertyURI);\n\n void deleteDataPropertyStatementsForIndividualByDataProperty(Individual individual, DataProperty dataProperty);\n\n int insertNewDataPropertyStatement(DataPropertyStatement dataPropertyStatement );\n\n List<Literal> getDataPropertyValuesForIndividualByProperty(Individual subject, DataProperty property);\n\n List<Literal> getDataPropertyValuesForIndividualByProperty(String subjectUri, String propertyUri);\n\n List<Literal> getDataPropertyValuesForIndividualByProperty(Individual subject, DataProperty property, String queryString, Set<String> constructQueryStrings);\n\n List<Literal> getDataPropertyValuesForIndividualByProperty(String subjectUri, String propertyUri, String queryString, Set<String> constructQueryStrings);\n\n}","title":""},{"docid":"90ae4f0a0270b9a9e31b2983a46adc76","score":"0.58944464","text":"public interface AccountTransactionsDAO {\r\n\t/**\r\n\t * This method is used to get the Account-Transaction Details of Common\r\n\t * Wealth Bank from Data-Base\r\n\t * \r\n\t * @return {@link AccountTransactions}\r\n\t */\r\n\tpublic AccountTransactions getAccountTransactionsDetails(String accountTransactionId);\r\n\r\n\tpublic int updateAccountTransactionDetails(AccountTransactions accountTransactions);\r\n\r\n\tpublic int saveAccountTransactionDetails(AccountTransactions accountTransactions);\r\n}","title":""},{"docid":"1d246f3f7c61532484918c6aacb0311d","score":"0.5889003","text":"public interface BooleanDemo\r\n extends OpbActiveDataObject {\r\n\r\n /**\r\n * \r\n * Calls the database function get_true.\r\n * @throws OpbDataAccessException\r\n * If we fail to make the database call.\r\n */\r\n Boolean getTrue()\r\n throws OpbDataAccessException;\r\n\r\n\r\n}","title":""},{"docid":"535ec0dc68c84693e001bbaaa4ac0c6f","score":"0.58719987","text":"protected boolean usePropertyBasedAccess () {\n return false;\n }","title":""},{"docid":"163d190b8f70946694d79b416e2a9b73","score":"0.5871706","text":"public interface GenericDAO<T extends DomainObject> {\r\n\r\n\t/**\r\n\t * Loads an object from thr database by it's ID\r\n\t * \r\n\t * @param id\r\n\t * The object's ID\r\n\t * @return Object from database or NULL\r\n\t */\r\n\tT load(Long id);\r\n\r\n\t/**\r\n\t * Loads all objects of a specific object type from the database\r\n\t * \r\n\t * @return list with all objects\r\n\t */\r\n\tList<T> loadAll();\r\n\r\n\t/**\r\n\t * Saves or updates an object in the database\r\n\t * \r\n\t * @param obj\r\n\t * new or updated object\r\n\t */\r\n\tvoid save(T obj);\r\n\r\n\t/**\r\n\t * deletes an object from the database\r\n\t * \r\n\t * @param obj\r\n\t * the object to delete\r\n\t */\r\n\tvoid delete(T obj);\r\n}","title":""},{"docid":"3973b2a481e40c626019b5150c6627ab","score":"0.5863966","text":"public interface IBrandDBAccessor extends IBaseDBAccessor<Brand> {\n boolean isExist(String name);\n String getBrandName(int id);\n Boolean isExitModel(int brandId);\n //获取所有品牌\n List<Brand> getAll();\n}","title":""},{"docid":"d2c623a7164d319fd8d83c2e44bef400","score":"0.5861745","text":"public interface IdentifierTypeDublinCoreMappingDAO extends CountableDAO, CrudDAO<IdentifierTypeDublinCoreMapping>{\r\n\t\r\n\t/**\r\n\t * Get the mapping by identifier type id\r\n\t * \r\n\t * @param identifierTypeId\r\n\t * \r\n\t * @return the mapping if found otherwise null\r\n\t */\r\n\tpublic IdentifierTypeDublinCoreMapping get(Long identifierTypeId);\r\n\r\n\t\r\n\t/**\r\n\t * Get the mapping by identifier type id and dublin core element id.\r\n\t * \r\n\t * @param identifierTypeId\r\n\t * @param dublinCoreElementId\r\n\t * \r\n\t * @return the mapping if found otherwise null\r\n\t */\r\n\tpublic IdentifierTypeDublinCoreMapping get(Long identifierTypeId, Long dublinCoreElementId);\r\n\r\n}","title":""},{"docid":"5ffd92a2f3e3334e24ed33a8c4dd168a","score":"0.58513236","text":"public interface ExcessPremiumDAO {\r\n /**\r\n * Load all manual excess premium.\r\n *\r\n * @param inputRecord\r\n * @param loadProcessor\r\n * @return RecordSet\r\n */\r\n public RecordSet loadAllExcessPremium(Record inputRecord, RecordLoadProcessor loadProcessor);\r\n\r\n /**\r\n * Get column name and label for specific column.\r\n *\r\n * @param inputRecord\r\n * @return Record\r\n */\r\n public Record getExcessPremiumColumn(Record inputRecord);\r\n\r\n /**\r\n * Save all manual excess premium.\r\n *\r\n * @param inputRecords\r\n */\r\n public void saveAllExcessPremium(RecordSet inputRecords);\r\n}","title":""},{"docid":"aed977ba4c4b20c15d379b6c26af4455","score":"0.5848015","text":"public interface DoctorDAO {\n List<Doctor> getAllDoctors();\n\n void addDoctor(Doctor doctor);\n\n Doctor getDoctor(int id);\n\n void updateDoctor(Doctor doctor);\n}","title":""},{"docid":"ce97b34cee6e4733384d5154ab39d20c","score":"0.5845349","text":"public interface GetDataFromDB {\n void getData(Boolean status,Object data);\n}","title":""},{"docid":"6f3a32f2b5db30340311f123490aa79a","score":"0.58414006","text":"public interface CustomerDAO {\n public void addOne(customer c);\n public customer getOne(int id);\n public void clearAll();\n public customer[] getList();\n public void delete(customer c);\n public void update(customer c);\n}","title":""},{"docid":"e61dd1e1ec2c8356ee094b4e5aa33b70","score":"0.5833239","text":"public interface DataListItem {\n\n public long getId();\n}","title":""},{"docid":"77cbe67a6b6bcb217a12288310f61795","score":"0.5825074","text":"public interface CrudDataManager<T, PK extends Serializable> {\n\n\t/**\n\t * Creates the.\n\t *\n\t * @param t\n\t * the t\n\t * @return the t\n\t */\n\tT create(T t);\n\n\t/**\n\t * Read.\n\t *\n\t * @param id\n\t * the id\n\t * @return the t\n\t */\n\tT read(PK id);\n\n\t/**\n\t * Update.\n\t *\n\t * @param t\n\t * the t\n\t * @return the t\n\t */\n\tT update(T t);\n\n\t/**\n\t * Delete.\n\t *\n\t * @param t\n\t * the t\n\t */\n\tvoid delete(T t);\n}","title":""},{"docid":"a83bcf81bdffdbdfdd15b895e81404b2","score":"0.5820425","text":"public ForbiddenDO selectById(@Param(\"id\")String id) throws DataAccessException;","title":""},{"docid":"b309aef22d85dd1e50aa78a6c763fc55","score":"0.5813416","text":"public interface DataTp_client {\n\n public boolean updateTp_client(Tp_client tp_clien);\n\n public Tp_client findOneTp_client(int sortId);\n\n public List<Tp_client> findAllTp_client();\n\n public boolean deletTp_client(int sortId);\n\n public boolean addTp_client(Tp_client Tp_client);\n \n}","title":""},{"docid":"4b6b2797d2de3a28dac8d6f3884f845a","score":"0.58110785","text":"public interface DecryDataService {\n public void save(DecryData decryData);\n public void delete(Integer id);\n public DecryData findByID(Integer id);\n public List<DecryData> findAll();\n public Page<DecryData> findAll(int pageNo, int pageSize);\n}","title":""},{"docid":"0bb5fc1575895259ead9e7fa57573527","score":"0.58077836","text":"public interface ReadOnlyAddressBook {\n\n UniqueTagList getUniqueTagList();\n\n UniqueTaskList getUniqueTaskList();\n\n /**\n * Returns an unmodifiable view of tasks list\n */\n List<ReadOnlyTask> getTaskList();\n\n /**\n * Returns an unmodifiable view of tags list\n */\n List<Tag> getTagList();\n\n}","title":""},{"docid":"c15a7b5eff20df701338637e8bf85ac2","score":"0.5807065","text":"public interface CustomerRepository {\n\n /**\n * Retrieves all <code>Customer</code>s from the data store.\n *\n * @return a <code>Collection</code> of <code>Customer</code>s.\n */\n Collection<Customer> findAll() throws DataAccessException;\n\n /**\n * Retrieves a <code>Customer</code> from the data store by id.\n *\n * @param id the id to search for.\n * @return the <code>Customer</code> if found.\n */\n\tCustomer findById(int id) throws DataAccessException;\n\n}","title":""},{"docid":"e28c4b96276861bfed78032c1acf71df","score":"0.5802578","text":"public interface PersonDao {\n\n /**\n * Retrieves all of the person records.\n *\n * @return list of person records\n */\n List<Person> listPeople();\n\n /**\n * Creates a new person record.\n *\n * @param person the values to save\n * @return the new person ID\n */\n Integer createPerson(Person person);\n\n /**\n * Retrieves a person record by ID.\n *\n * @param id the person ID\n * @return the person record\n */\n Person readPerson(Integer id);\n\n /**\n * Updates an existing person record.\n *\n * @param person the new values to save\n */\n void updatePerson(Person person);\n\n /**\n * Deletes a person record by ID.\n *\n * @param id the person ID\n */\n void deletePerson(Integer id);\n\n /**\n * Retrieve all contacts for a Client\n *\n * @param clientId Identifier or the client associated\n * @return List of all Person contacts for a specified Client\n */\n List<Person> getByClientId(Integer clientId);\n\n /**\n * Set the client ID for this person.\n *\n * // TODO: Allow client controller to update associated persons\n * @param person Person the client is being set on\n * @param clientId Client to assign for the associated person\n */\n void setClientId(Person person, Integer clientId);\n}","title":""},{"docid":"ba414cc11abb553b6eae2ec1abcb63ca","score":"0.57936424","text":"public interface GoodsDao {\n\n public int add(Goods good) throws SQLException;\n\n public List<Goods> get() throws SQLException;\n\n public Goods getById(int id) throws SQLException;\n\n public void update(Goods newGood) throws SQLException;\n\n public void remove(Goods good) throws SQLException;\n\n public void remove(int id) throws SQLException;\n\n\n}","title":""},{"docid":"988687d5bdec75da41932fe72d1fdf3c","score":"0.57911724","text":"public interface TDSDao {\r\n\tTdsMaster getById(int id);\r\n}","title":""},{"docid":"5db6538a76863ccc00cc09643b74d1a4","score":"0.57902205","text":"public interface AnimalDAO {\r\n\r\n\t/**\r\n\t * Used to retrieve a list of all Animals \r\n\t * @return\r\n\t */\r\n\tList<Animal> getAllAnimals();\r\n\r\n\t/**\r\n\t * Used to persist the animal to the datastore\r\n\t * @param animalToSave\r\n\t */\r\n\tvoid saveAnimal(Animal animalToSave) throws Exception;\r\n\r\n\t\r\n}","title":""},{"docid":"5a6f2d3588eeedc12e69f3d327b77d7f","score":"0.57878083","text":"public interface OthersDao {\n Others insert(Others item);\n\n List<Others> query(Others item);\n\n void update(Others item);\n\n void delete(Others item);\n\n}","title":""},{"docid":"188c951fb3a082222cfe04923068c961","score":"0.5786577","text":"public interface PedagogicalPlanPersistenceDAO extends SCYBaseDAO {\r\n\r\n public List<PedagogicalPlanTemplate> getPedagogicalPlanTemplates();\r\n\r\n PedagogicalPlan createPedagogicalPlan(PedagogicalPlanTemplate template);\r\n\r\n PedagogicalPlan getPedagogicalPlanByName(String name);\r\n\r\n public List<Scenario> getCompatibleScenarios(Mission mission);\r\n\r\n public List<Mission> getCompatibleMissions(Scenario scenario);\r\n\r\n public PedagogicalPlan getPedagogicalPlan(Mission mission, Scenario scenario);\r\n\r\n public List<PedagogicalPlan> getPedagogicalPlans();\r\n\r\n public PedagogicalPlan getPedagogicalPlan(String id);\r\n\r\n public List<LearningActivitySpace> getLearningActivitySpaces(PedagogicalPlan pedagogicalPlan);\r\n\r\n public void addAnchorEloToPedagogicalPlan(PedagogicalPlan pedagogicalPlan, AnchorELO anchorELO);\r\n\r\n public List getAnchorELOs(PedagogicalPlan pedagogicalPlan);\r\n\r\n PedagogicalPlan getOrCreatePedagogicalPlanFromURI(String missionURI);\r\n\r\n}","title":""},{"docid":"f0ca40495fe3e7cf4cfdb46e3c68447f","score":"0.5785295","text":"public interface CrudResource<D extends IBaseDto<Id>, Id extends Serializable>\n extends ReadOnlyResource<D, Id> {\n\n Id save(D t) throws BaseVaselineClientException;\n\n void update(D t) throws BaseVaselineClientException;\n\n void delete(D id) throws BaseVaselineClientException;\n\n void deleteById(Id id) throws BaseVaselineClientException;\n}","title":""},{"docid":"65922b7d7a3647e21eaefdc0f2e8bfd5","score":"0.57837546","text":"public interface CrudGeneralDao<K, T extends SuperEntity> {\n void delete(T t);\n\n void update(T t);\n\n void insert(T t);\n\n List<T> select(K key);\n\n}","title":""},{"docid":"b779c99a98ae8933b8e40287a49d9dcc","score":"0.5782457","text":"public interface DAO<T> {\n\t/**\n\t * update a row in the database.\n\t * @param objectToUpdate the object to update\n\t * @throws SQLException an exception from the database\n\t */\n\tvoid update(T objectToUpdate) throws SQLException;\n\t/**\n\t * create a row in the database.\n\t * @param objectToCreate the object to create\n\t * @throws SQLException an exception from the database\n\t */\n\tvoid create(T objectToCreate) throws SQLException;\n\t/**\n\t * @return all the rows in the database\n\t * @throws SQLException an exception from the database\n\t */\n\tList<T> getAll() throws SQLException;\n\t/**\n\t * @param id the primary key of the row in the database\n\t * @return the row of the database\n\t * @throws SQLException an exception from the database\n\t */\n\tT get(int id) throws SQLException;\n\t/**\n\t * delete a row from the database.\n\t * @param objectToDelete the object to delete\n\t * @throws SQLException an exception from the database\n\t */\n\tvoid delete(T objectToDelete) throws SQLException;\n}","title":""},{"docid":"7e0d264ae573739e3838bd2fad95563a","score":"0.57816786","text":"public interface IBaseDao<T extends Object, PK extends Serializable> {\n public T get(Class<T> entityClass);\n\n public void getApi();\n}","title":""},{"docid":"c3676977e07218020c7001736a362c8a","score":"0.57806885","text":"public interface Project_paketDao {\n List getList(Map<String,String> param);\n boolean add(Project_paket project_paket);\n boolean edit(Project_paket project_paket);\n Object getDetail(int id);\n Project_paket getDetailLite(int id);\n\n}","title":""},{"docid":"161a14b7a755f010ce7ec30da2ade460","score":"0.5770826","text":"public interface DataObject extends Serializable, Cloneable {\n}","title":""},{"docid":"e71f7cb92b3edfda9013bb471c42085d","score":"0.57706475","text":"public interface CargoDAO {\n public void addCargo(Cargo cargo)throws SQLException;\n public Cargo getCargo(Long id)throws SQLException;\n}","title":""},{"docid":"baa9103205345a5047536b789f9797e5","score":"0.57649404","text":"public interface TestDAO\n{\n\tpublic List<TestModel> getData();\n\t\n\tpublic int update(String key, String value);\n\t\n\tpublic int insert(String key, String value);\n\t\n\tpublic int delete(String key);\n}","title":""},{"docid":"7f265663b7beb659b0485d9ed71134bd","score":"0.57591563","text":"public interface ReadOnlyAddressBook {\n\n /**\n * Returns an unmodifiable view of the customers list.\n * This list will not contain any duplicate customers.\n */\n ObservableList<Customer> getCustomerList();\n\n}","title":""},{"docid":"f3123a3ef0f64b423947bb524f45d096","score":"0.575699","text":"public interface TodoDataSource {\n List<Todo> findAll();\n Todo findById(long id);\n int insert(String title, boolean isChecked);\n boolean delete(long id);\n void checked(long id, boolean isChecked);\n void update(long id, String title);\n}","title":""},{"docid":"a72435ba0e28d4aa585dc24c66e852a5","score":"0.5752907","text":"public interface UsersDAO {\r\n\r\n UserDataSet get(long id) throws SQLException;\r\n\r\n UserDataSet getByName(String name) throws SQLException;\r\n\r\n void add(UserDataSet dataSet) throws SQLException;\r\n\r\n void delete(long id) throws SQLException;\r\n\r\n}","title":""},{"docid":"52c14f60494302b4bc5f5e21f046e5ed","score":"0.57518387","text":"public interface IPatientDAO extends IDAO<Patient>{\n List<Patient> getAll() throws DAOException;\n Patient getById(int patientId)throws DAOException;\n Patient getByName(String name)throws DAOException, NotFoundException;\n}","title":""},{"docid":"9a13dac0286a96cfdc75d51d803b5976","score":"0.5750209","text":"public interface GenericDAO<T, PK extends Serializable> {\n\n /** Persist the newInstance object into database */\n PK create(T newInstance);\n\n /** Retrieve an object that was previously saved in the database\n * under the given primary key (id).\n */\n T read(PK id);\n\n /** Save changes made to a persistent object. */\n void update(T transientObject);\n\n /** Remove an object from persistent storage in the database */\n void delete(T persistentObject);\n}","title":""},{"docid":"331fae989625b66c7d2d73afc240755c","score":"0.57436764","text":"public interface DataBridge {\n\t/**\n\t * Retrieves the customer object which matches the given id from the database.\n\t * @param id\n\t * @return\n\t */\n\t@NotNull DataResult<Customer> getCustomer(SimpleId id);\n\n\t/**\n\t * creates the entity if it doesn't exist, updates it otherwise\n\t * @param customer\n\t * @return\n\t */\n\t@NotNull DataResult<SimpleId> createOrUpdate(Customer customer);\n\n\t/**\n\t * Delete the given customer from the database.\n\t * @param id\n\t * @return\n\t */\n\t@NotNull DataResult deleteCustomer(SimpleId id);\n\n\t/**\n\t * returns customer ids for each customer that is considered \"similar\" to the given customer.\n\t * @param customerId\n\t * @return\n\t */\n\t@NotNull DataResult<SimpleId> findSimilarCustomers(SimpleId customerId);\n\n\t/**\n\t * Will destroy all data in the database and recreate necessary tables.\n\t */\n\t@NotNull DataResult initialize();\n\n}","title":""},{"docid":"c06e0373373f27f3349c46b0b1f4d964","score":"0.5743487","text":"public interface IToDoListDAO {\n\n\t/**\n\t * Get a list from specified table.\n\t * \n\t * @return A list representing the object(s) of specified table.\n\t * @param clazz\n\t * The table we want to extract from.\n\t * @throws DataAccessLayerException,\n\t * ConnectionException.\n\t */\n\tList<?> getAll(Class<?> clazz) throws DataAccessLayerException, ConnectionException;\n\n\t/**\n\t * Get list from specified table by specific query.\n\t * \n\t * @return A list representing object(s) selected by the query.\n\t * @param clazz\n\t * The table we want to extract from.\n\t * @param hql\n\t * The query.\n\t * @throws DataAccessLayerException,\n\t * ConnectionException.\n\t */\n\tList<?> getByQuery(Class<?> clazz, String hql) throws DataAccessLayerException, ConnectionException;\n\n\t/**\n\t * Get list from specified table by specific field and value.\n\t * \n\t * @return A list representing object(s) selected by the field and value.\n\t * @param clazz\n\t * The table we want to extract from.\n\t * @param field\n\t * The field.\n\t * @param value\n\t * The value of the field.\n\t * @throws DataAccessLayerException,\n\t * ConnectionException.\n\t */\n\tList<?> getByField(Class<?> clazz, String field, String value) throws DataAccessLayerException, ConnectionException;\n\n\t/**\n\t * Add object to his matching table.\n\t * \n\t * @param obj\n\t * The object we want to add.\n\t * @throws DataAccessLayerException,\n\t * ConnectionException.\n\t */\n\tvoid save(Object obj) throws DataAccessLayerException, ConnectionException;\n\n\t/**\n\t * Update object by finding the object in his matching table and replace it\n\t * with the new object. it find it by Id.\n\t * \n\t * @param obj\n\t * The object we want to Update.\n\t * @throws DataAccessLayerException,\n\t * ConnectionException.\n\t */\n\tvoid update(Object obj) throws DataAccessLayerException, ConnectionException;\n\n\t/**\n\t * delete object by Id. first find it in his matching table, and then delete\n\t * it.\n\t * \n\t * @param clazz\n\t * The table we want to delete from.\n\t * @param id\n\t * The id of the object we want to delete.\n\t * @throws DataAccessLayerException,\n\t * ConnectionException.\n\t */\n\tvoid delete(Class<?> clazz, int id) throws DataAccessLayerException, ConnectionException;\n\n\t/**\n\t * delete specific object from his matching table.\n\t * \n\t * @param obj\n\t * The object we want to delete.\n\t * @throws DataAccessLayerException,\n\t * ConnectionException.\n\t */\n\tvoid delete(Object obj) throws DataAccessLayerException, ConnectionException;\n\n\t/**\n\t * Get Object from specified table by id.\n\t * \n\t * @return An Object representing object selected by his id.\n\t * @param clazz\n\t * The table we want to extract from.\n\t * @param id\n\t * The id of the object.\n\t * @throws DataAccessLayerException,\n\t * ConnectionException.\n\t */\n\tObject getById(Class<?> clazz, int id) throws DataAccessLayerException, ConnectionException;\n}","title":""},{"docid":"af0af88aa3f3f2ded2614744732e7532","score":"0.57403487","text":"public interface iDAO<T> {\r\n\r\n\t/**\r\n\t * Recupera un objeto.\r\n\t *\r\n\t * @return\r\n\t */\r\n\tpublic T get();\r\n\r\n\t/**\r\n\t * Salva el elemento.\r\n\t *\r\n\t * @param elemento\r\n\t */\r\n\tpublic void save(T elemento);\r\n\r\n\t/**\r\n\t * Recupera una lista.\r\n\t *\r\n\t * @return\r\n\t */\r\n\tpublic ArrayList<T> getLista();\r\n\r\n\t/**\r\n\t * Resibe un ArrayList y lo guarda.\r\n\t *\r\n\t * @param lista\r\n\t */\r\n\tpublic void saveList(ArrayList<T> lista);\r\n\r\n\t/**\r\n\t * Busca el elemento y retorna true o false.\r\n\t *\r\n\t * @param elemento\r\n\t * @return\r\n\t */\r\n\tpublic boolean buscar(T elemento);\r\n\r\n\t/**\r\n\t * Busca el elemento y lo retorna.\r\n\t *\r\n\t * @param elemento\r\n\t * @return\r\n\t */\r\n\tpublic boolean getElemento(T elemento);\r\n}","title":""},{"docid":"62a1b724fc195fdeec4bdd979970e9ab","score":"0.57340425","text":"public IPerson getPersonDAO();","title":""},{"docid":"1c873438ddce0d6fd771e2eee60dffb3","score":"0.5732776","text":"public interface StockDAO {\n public void create(SupplyDetails supplyDetails);\n public Stock read(Integer id);\n public void update(Integer id, Float newAvailableQnt);\n public void delete(Integer id);\n}","title":""},{"docid":"539884568c3b2e3a1f252eb1afaef6ad","score":"0.57255465","text":"public interface IUser {\n List<UserInfo> selectAll();\n UserInfo selectByPrimaryKey(String userid);\n}","title":""},{"docid":"814ccc7c23a777a2f60c79115d9908f8","score":"0.57218736","text":"void getOwnable() throws SQLException;","title":""},{"docid":"616299379f6fdfd444cdc193ae22611c","score":"0.5716377","text":"public interface MyDao<PK extends Serializable,T> {\n T query(PK id);\n List<T> queryList(QueryMap queryMap);\n void delete(PK id);\n void update(T entity);\n void create(T entity);\n}","title":""},{"docid":"d1ece17cae10c8493d5f56d2d76b36e2","score":"0.5714922","text":"public interface CacheDeposit<S>\r\n{\r\n /**\r\n * Special date for use as an expiration time that indicates data expires at\r\n * the end of the current session.\r\n */\r\n Date SESSION_END = new Date();\r\n\r\n /**\r\n * Get the accessors for the objects' properties.\r\n *\r\n * @return The property accessors.\r\n */\r\n Collection<? extends PropertyAccessor<? super S, ?>> getAccessors();\r\n\r\n /**\r\n * Get the category of the objects.\r\n *\r\n * @return The category of the objects.\r\n */\r\n DataModelCategory getCategory();\r\n\r\n /**\r\n * Get the expiration date for this deposit. Disparate expiration dates may\r\n * result in a separate database table for each one, so data for the same\r\n * {@link DataModelCategory} should have the same expiration date as much as\r\n * possible.\r\n *\r\n * @return The date after which the objects can be discarded. A value of\r\n * {@link #SESSION_END} indicates the models should be discarded at\r\n * the end of the current session.\r\n */\r\n Date getExpirationDate();\r\n\r\n /**\r\n * Get the collection of input objects.\r\n *\r\n * @return The input objects.\r\n */\r\n Iterable<? extends S> getInput();\r\n\r\n /**\r\n * Get if these models are <i>critical</i>; i.e., they should not be deleted\r\n * from the database by the cleanup routines.\r\n *\r\n * @return If these are critical data.\r\n */\r\n boolean isCritical();\r\n\r\n /**\r\n * Get if the models represented by this deposit are new to the database. If\r\n * they are new, new ids will be generated for them; otherwise the database\r\n * will be queried to get the existing ids. If this returns\r\n * <code>true</code> and the keys already exist in the database, or this\r\n * returns <code>false</code> and the keys do not exist in the database, an\r\n * exception will be generated when\r\n * {@link Cache#put(CacheDeposit, CacheModificationListener)} is called.\r\n *\r\n * @return If the deposit is an insert, <code>true</code>; if the deposit is\r\n * an update, <code>false</code>.\r\n */\r\n boolean isNew();\r\n}","title":""},{"docid":"2b30ca454eab4f3f1894528d84b66e9b","score":"0.57147366","text":"public interface ItemServiceI {\n ItemCustom selectByPrimaryKey(Integer id);\n List<ItemCustom> findItemList(ItemsQueryVo itemsQueryVo);\n int updateByPrimaryKeySelective(Integer id,ItemCustom record);\n int deleteByPrimaryKeySelective(Integer id);\n}","title":""},{"docid":"6712331015d55c79759c68f9a944e2d8","score":"0.57101667","text":"public interface ZdarzeniaDAO {\n public List<Zdarzenia> getZdarzenia();\n\n List<Zdarzenia> getZdarzeniaFiltrowana(int idSzukanegoKierowcy);\n\n List<Zdarzenia> getZdarzenia(String nrSzukanegoPojazdu);\n\n void dodajZdarzenie(Zdarzenia zdarzenie);\n}","title":""},{"docid":"ac85ac80aeeabb1066f4210618b6bb48","score":"0.57044053","text":"public interface BaseDao<T> {\r\n\r\n public boolean persist(T obj);\r\n\r\n public boolean merge(T obj);\r\n\r\n public boolean delete(T obj);\r\n\r\n public boolean deleteAll(List<T> list);\r\n\r\n public T get(Class c, Serializable id);\r\n\r\n public T get(Class c, String column, Serializable value);\r\n\r\n public List<T> getAll(Class c, String column, Serializable value);\r\n\r\n public List<T> getAll(Class c);\r\n\r\n public List<T> getByFinder(Finder finder);\r\n\r\n public Iterator<T> getIteratorByFinder(Finder finder);\r\n\r\n public long getCountByFinder(Finder finder);\r\n\r\n}","title":""},{"docid":"77b77669221c44a91d7032e598adec29","score":"0.57013804","text":"public interface IRxDao<T, ID> extends Dao<T, ID> {\r\n\r\n /**\r\n * Retrieves an object associated with a specific ID.\r\n *\r\n * @param id Identifier that matches a specific row in the database to find and return.\r\n * @return The object that has the ID field which equals id or null if no matches.\r\n * @throws SQLException on any SQL problems or if more than 1 item with the id are found in the database.\r\n */\r\n Observable<T> rxQueryForId(final ID id);\r\n\r\n /**\r\n * rxQuery for and return the first item in the object table which matches the PreparedQuery. See\r\n * {@link #queryBuilder()} for more information. This can be used to return the object that matches a single unique\r\n * column. You should use {@link #queryForId(Object)} if you want to rxQuery for the id column.\r\n *\r\n * @param preparedQuery rxQuery used to match the objects in the database.\r\n * @return The first object that matches the rxQuery.\r\n * @throws SQLException on any SQL problems.\r\n */\r\n Observable<T> rxQueryForFirst(final PreparedQuery<T> preparedQuery);\r\n\r\n /**\r\n * rxQuery for all of the items in the object table. For medium sized or large tables, this may load a lot of objects\r\n * into memory so you should consider using the {@link #iterator()} method instead.\r\n *\r\n * @return A list of all of the objects in the table.\r\n * @throws SQLException on any SQL problems.\r\n */\r\n Observable<List<T>> rxQueryForAll();\r\n\r\n /**\r\n * rxQuery for the items in the object table that match a simple where with a single field = value type of WHERE\r\n * clause. This is a convenience method for calling QueryBuilder().where().eq(fieldName, value).query().\r\n *\r\n * @return A list of the objects in the table that match the fieldName = value;\r\n * @throws SQLException on any SQL problems.\r\n */\r\n Observable<List<T>> rxQueryForEq(final String fieldName, final Object value);\r\n\r\n /**\r\n * rxQuery for the rows in the database that match the object passed in as a parameter. Any fields in the matching\r\n * object that are not the default value (null, false, 0, 0.0, etc.) are used as the matching parameters with AND.\r\n * If you are worried about SQL quote escaping, you should use {@link #queryForMatchingArgs(Object)}.\r\n */\r\n Observable<List<T>> rxQueryForMatching(final T matchObj);\r\n\r\n /**\r\n * Same as {@link #queryForMatching(Object)} but this uses {@link SelectArg} and SQL ? arguments. This is slightly\r\n * more expensive but you don't have to worry about SQL quote escaping.\r\n */\r\n Observable<List<T>> rxQueryForMatchingArgs(final T matchObj);\r\n\r\n /**\r\n * rxQuery for the rows in the database that matches all of the field to value entries from the map passed in. If you\r\n * are worried about SQL quote escaping, you should use {@link #queryForFieldValuesArgs(Map)}.\r\n */\r\n Observable<List<T>> rxQueryForFieldValues(final Map<String, Object> fieldValues);\r\n\r\n /**\r\n * Same as {@link #queryForFieldValues(Map)} but this uses {@link SelectArg} and SQL ? arguments. This is slightly\r\n * more expensive but you don't have to worry about SQL quote escaping.\r\n */\r\n Observable<List<T>> rxQueryForFieldValuesArgs(final Map<String, Object> fieldValues);\r\n\r\n /**\r\n * rxQuery for a data item in the table that has the same id as the data parameter.\r\n */\r\n Observable<T> rxQueryForSameId(final T data);\r\n\r\n /**\r\n * rxQuery for the items in the object table which match the prepared rxQuery. See {@link #queryBuilder} for more\r\n * information.\r\n * <p>\r\n * <p>\r\n * <b>NOTE:</b> For medium sized or large tables, this may load a lot of objects into memory so you should consider\r\n * using the {@link #iterator(PreparedQuery)} method instead.\r\n * </p>\r\n *\r\n * @param preparedQuery rxQuery used to match the objects in the database.\r\n * @return A list of all of the objects in the table that match the rxQuery.\r\n * @throws SQLException on any SQL problems.\r\n */\r\n Observable<List<T>> rxQuery(final PreparedQuery<T> preparedQuery);\r\n\r\n /**\r\n * Create a new row in the database from an object. If the object being created uses\r\n * {@link DatabaseField#generatedId()} then the data parameter will be modified and set with the corresponding id\r\n * from the database.\r\n *\r\n * @param data The data item that we are creating in the database.\r\n * @return The number of rows updated in the database. This should be 1.\r\n */\r\n Observable<Integer> rxCreate(final T data);\r\n\r\n /**\r\n * This is a convenience method to creating a data item but only if the ID does not already exist in the table. This\r\n * extracts the id from the data parameter, does a {@link #queryForId(Object)} on it, returning the data if it\r\n * exists. If it does not exist {@link #create(Object)} will be called with the parameter.\r\n *\r\n * @return Either the data parameter if it was inserted (now with the ID field set via the create method) or the\r\n * data element that existed already in the database.\r\n */\r\n Observable<T> rxCreateIfNotExists(final T data);\r\n\r\n /**\r\n * This is a convenience method for creating an item in the database if it does not exist. The id is extracted from\r\n * the data parameter and a rxQuery-by-id is made on the database. If a row in the database with the same id exists\r\n * then all of the columns in the database will be updated from the fields in the data parameter. If the id is null\r\n * (or 0 or some other default value) or doesn't exist in the database then the object will be created in the\r\n * database. This also means that your data item <i>must</i> have an id field defined.\r\n *\r\n * @return Status object with the number of rows changed and whether an insert or update was performed.\r\n */\r\n Observable<CreateOrUpdateStatus> rxCreateOrUpdate(final T data);\r\n\r\n /**\r\n * Store the fields from an object to the database row corresponding to the id from the data parameter. If you have\r\n * made changes to an object, this is how you persist those changes to the database. You cannot use this method to\r\n * update the id field -- see {@link #updateId} .\r\n * <p>\r\n * <p>\r\n * NOTE: This will not save changes made to foreign objects or to foreign collections.\r\n * </p>\r\n *\r\n * @param data The data item that we are updating in the database.\r\n * @return The number of rows updated in the database. This should be 1.\r\n * @throws SQLException on any SQL problems.\r\n * @throws IllegalArgumentException If there is only an ID field in the object. See the {@link #updateId} method.\r\n */\r\n Observable<Integer> rxUpdate(final T data);\r\n\r\n /**\r\n * Update the data parameter in the database to change its id to the newId parameter. The data <i>must</i> have its\r\n * current (old) id set. If the id field has already changed then it cannot be updated. After the id has been\r\n * updated in the database, the id field of the data parameter will also be changed.\r\n * <p>\r\n * <p>\r\n * <b>NOTE:</b> Depending on the database type and the id type, you may be unable to change the id of the field.\r\n * </p>\r\n *\r\n * @param data The data item that we are updating in the database with the current id.\r\n * @param newId The <i>new</i> id that you want to update the data with.\r\n * @return The number of rows updated in the database. This should be 1.\r\n * @throws SQLException on any SQL problems.\r\n */\r\n Observable<Integer> rxUpdateId(final T data, final ID newId);\r\n\r\n /**\r\n * Update all rows in the table according to the prepared statement parameter. To use this, the\r\n * {@link UpdateBuilder} must have set-columns applied to it using the\r\n * {@link UpdateBuilder#updateColumnValue(String, Object)} or\r\n * {@link UpdateBuilder#updateColumnExpression(String, String)} methods.\r\n *\r\n * @param preparedUpdate A prepared statement to match database rows to be rxDeleted and define the columns to update.\r\n * @return The number of rows updated in the database.\r\n * @throws SQLException on any SQL problems.\r\n * @throws IllegalArgumentException If there is only an ID field in the object. See the {@link #updateId} method.\r\n */\r\n Observable<Integer> rxUpdate(final PreparedUpdate<T> preparedUpdate);\r\n\r\n /**\r\n * Does a rxQuery for the data parameter's id and copies in each of the field values from the database to refresh the\r\n * data parameter. Any local object changes to persisted fields will be overwritten. If the database has been\r\n * updated this brings your local object up to date.\r\n *\r\n * @param data The data item that we are refreshing with fields from the database.\r\n * @return The number of rows found in the database that correspond to the data id. This should be 1.\r\n * @throws SQLException on any SQL problems or if the data item is not found in the table or if more than 1 item is found\r\n * with data's id.\r\n */\r\n Observable<Integer> rxRefresh(final T data);\r\n\r\n /**\r\n * Delete the database row corresponding to the id from the data parameter.\r\n *\r\n * @param data The data item that we are deleting from the database.\r\n * @return The number of rows updated in the database. This should be 1.\r\n * @throws SQLException on any SQL problems.\r\n */\r\n Observable<Integer> rxDelete(final T data);\r\n\r\n /**\r\n * Delete an object from the database that has an id.\r\n *\r\n * @param id The id of the item that we are deleting from the database.\r\n * @return The number of rows updated in the database. This should be 1.\r\n * @throws SQLException on any SQL problems.\r\n */\r\n Observable<Integer> rxDeleteById(final ID id);\r\n\r\n /**\r\n * Delete a collection of objects from the database using an IN SQL clause. The ids are extracted from the datas\r\n * parameter and used to remove the corresponding rows in the database with those ids.\r\n *\r\n * @param datas A collection of data items to be rxDeleted.\r\n * @return The number of rows updated in the database. This should be the size() of the collection.\r\n * @throws SQLException on any SQL problems.\r\n */\r\n Observable<Integer> rxDelete(final Collection<T> datas);\r\n\r\n /**\r\n * Delete the objects that match the collection of ids from the database using an IN SQL clause.\r\n *\r\n * @param ids A collection of data ids to be rxDeleted.\r\n * @return The number of rows updated in the database. This should be the size() of the collection.\r\n * @throws SQLException on any SQL problems.\r\n */\r\n Observable<Integer> rxDeleteIds(final Collection<ID> ids);\r\n\r\n /**\r\n * Delete the objects that match the prepared statement parameter.\r\n *\r\n * @param preparedDelete A prepared statement to match database rows to be rxDeleted.\r\n * @return The number of rows updated in the database.\r\n * @throws SQLException on any SQL problems.\r\n */\r\n Observable<Integer> rxDelete(final PreparedDelete<T> preparedDelete);\r\n\r\n /**\r\n * This satisfies the {@link Iterable} interface for the class and allows you to iterate through the objects in the\r\n * table using SQL. You can use code similar to the following:\r\n * <p>\r\n * <pre>\r\n * for (Account account : accountDao) { ... }\r\n * </pre>\r\n * <p>\r\n * <p>\r\n * <b>WARNING</b>: because the {@link Iterator#hasNext()}, {@link Iterator#next()}, etc. methods can only throw\r\n * {@link RuntimeException}, the code has to wrap any {@link SQLException} with {@link IllegalStateException}. Make\r\n * sure to catch {@link IllegalStateException} and look for a {@link SQLException} cause.\r\n * </p>\r\n * <p>\r\n * <p>\r\n * <b>WARNING</b>: The underlying results object will only be closed if you page all the way to the end of the\r\n * iterator using the for() loop or if you call {@link CloseableIterator#close()} directly. You can also call the\r\n * {@link #closeLastIterator()} if you are not iterating across this DAO in multiple threads.\r\n * </p>\r\n * <p>\r\n * <p>\r\n * <b>NOTE:</b> With this iterator you can only move forward through the object collection. See the\r\n * {@link #iterator(int)} method to create a cursor that can go both directions.\r\n * </p>\r\n *\r\n * @return An iterator of the class that uses SQL to step across the database table.\r\n * @throws IllegalStateException When it encounters a SQLException or in other cases.\r\n */\r\n Observable<CloseableIterator<T>> rxIterator();\r\n\r\n /**\r\n * Same as {@link #iterator()} but while specifying flags for the results. This is necessary with certain database\r\n * types. The resultFlags could be something like ResultSet.TYPE_SCROLL_INSENSITIVE or other values.\r\n * <p>\r\n * <p>\r\n * <b>WARNING:</b> Depending on the database type the underlying connection may never be freed -- even if you go all\r\n * of the way through the results. It is <i>strongly</i> recommended that you call the\r\n * {@link CloseableIterator#close()} method when you are done with the iterator.\r\n * </p>\r\n */\r\n Observable<CloseableIterator<T>> rxIterator(final int resultFlags);\r\n\r\n /**\r\n * Same as {@link #iterator()} but with a prepared rxQuery parameter. See {@link #queryBuilder} for more information.\r\n * You use it like the following:\r\n * <p>\r\n * <pre>\r\n * QueryBuilder<Account, String> qb = accountDao.queryBuilder();\r\n * ... custom rxQuery builder methods\r\n * CloseableIterator<Account> iterator = partialDao.iterator(qb.prepare());\r\n * try {\r\n * while (iterator.hasNext()) {\r\n * Account account = iterator.next();\r\n * ...\r\n * }\r\n * } finish {\r\n * iterator.close();\r\n * }\r\n * </pre>\r\n *\r\n * @param preparedQuery rxQuery used to iterate across a sub-set of the items in the database.\r\n * @return An iterator for T.\r\n * @throws SQLException on any SQL problems.\r\n */\r\n Observable<CloseableIterator<T>> rxIterator(final PreparedQuery<T> preparedQuery);\r\n\r\n /**\r\n * Same as {@link #iterator(PreparedQuery)} but while specifying flags for the results. This is necessary with\r\n * certain database types.\r\n */\r\n Observable<CloseableIterator<T>> rxIterator(final PreparedQuery<T> preparedQuery, final int resultFlags);\r\n\r\n /**\r\n * <p>\r\n * This makes a one time use iterable class that can be closed afterwards. The DAO itself is\r\n * {@link CloseableWrappedIterable} but multiple threads can each call this to get their own closeable iterable.\r\n * This allows you to do something like:\r\n * </p>\r\n * <p>\r\n * <pre>\r\n * CloseableWrappedIterable<Foo> wrappedIterable = fooDao.getWrappedIterable();\r\n * try {\r\n * for (Foo foo : wrappedIterable) {\r\n * ...\r\n * }\r\n * } finally {\r\n * wrappedIterable.close();\r\n * }\r\n * </pre>\r\n */\r\n Observable<CloseableWrappedIterable<T>> rxGetWrappedIterable();\r\n\r\n /**\r\n * Same as {@link #getWrappedIterable()} but with a prepared rxQuery parameter. See {@link #queryBuilder} or\r\n * {@link #iterator(PreparedQuery)} for more information.\r\n */\r\n Observable<CloseableWrappedIterable<T>> rxGetWrappedIterable(final PreparedQuery<T> preparedQuery);\r\n\r\n /**\r\n * <p>\r\n * Similar to the {@link #iterator(PreparedQuery)} except it returns a GenericRawResults object associated with the\r\n * SQL select rxQuery argument. Although you should use the {@link #iterator()} for most queries, this method allows\r\n * you to do special queries that aren't supported otherwise. Like the above iterator methods, you must call close\r\n * on the returned RawResults object once you are done with it. The arguments are optional but can be set with\r\n * strings to expand ? type of SQL.\r\n * </p>\r\n * <p>\r\n * <p>\r\n * You can use the {@link QueryBuilder#prepareStatementString()} method here if you want to build the rxQuery using\r\n * the structure of the QueryBuilder.\r\n * </p>\r\n * <p>\r\n * <pre>\r\n * QueryBuilder<Account, Integer> qb = accountDao.queryBuilder();\r\n * qb.where().ge("orderCount", 10);\r\n * results = accountDao.queryRaw(qb.prepareStatementString());\r\n * </pre>\r\n * <p>\r\n * <p>\r\n * If you want to use the QueryBuilder with arguments to the raw rxQuery then you should do something like:\r\n * </p>\r\n * <p>\r\n * <pre>\r\n * QueryBuilder<Account, Integer> qb = accountDao.queryBuilder();\r\n * // we specify a SelectArg here to generate a ? in the statement string below\r\n * qb.where().ge("orderCount", new SelectArg());\r\n * // the 10 at the end is an optional argument to fulfill the SelectArg above\r\n * results = accountDao.queryRaw(qb.prepareStatementString(), rawRowMapper, 10);\r\n * </pre>\r\n * <p>\r\n * <p>\r\n * <b>NOTE:</b> If you are using the {@link QueryBuilder#prepareStatementString()} to build your rxQuery, it may have\r\n * added the id column to the selected column list if the Dao object has an id you did not include it in the columns\r\n * you selected. So the results might have one more column than you are expecting.\r\n * </p>\r\n */\r\n Observable<GenericRawResults<String[]>> rxQueryRaw(final String query, final String... arguments);\r\n\r\n /**\r\n * Similar to the {@link #queryRaw(String, String...)} but this iterator returns rows that you can map yourself. For\r\n * every result that is returned by the database, the {@link RawRowMapper#mapRow(String[], String[])} method is\r\n * called so you can convert the result columns into an object to be returned by the iterator. The arguments are\r\n * optional but can be set with strings to expand ? type of SQL. For a simple implementation of a raw row mapper,\r\n * see {@link #getRawRowMapper()}.\r\n */\r\n <UO> Observable<GenericRawResults<UO>> rxQueryRaw(final String query, final RawRowMapper<UO> mapper, final String... arguments)\r\n ;\r\n\r\n /**\r\n * Similar to the {@link #queryRaw(String, RawRowMapper, String...)} but uses the column-types array to present an\r\n * array of object results to the mapper instead of strings. The arguments are optional but can be set with strings\r\n * to expand ? type of SQL.\r\n */\r\n <UO> Observable<GenericRawResults<UO>> rxQueryRaw(final String query, final DataType[] columnTypes, final RawRowObjectMapper<UO> mapper,\r\n final String... arguments);\r\n\r\n /**\r\n * Similar to the {@link #queryRaw(String, String...)} but instead of an array of String results being returned by\r\n * the iterator, this uses the column-types parameter to return an array of Objects instead. The arguments are\r\n * optional but can be set with strings to expand ? type of SQL.\r\n */\r\n Observable<GenericRawResults<Object[]>> rxQueryRaw(final String query, final DataType[] columnTypes, final String... arguments)\r\n ;\r\n\r\n /**\r\n * Perform a raw rxQuery that returns a single value (usually an aggregate function like MAX or COUNT). If the rxQuery\r\n * does not return a single long value then it will throw a SQLException.\r\n */\r\n Observable<Long> rxQueryRawValue(final String query, final String... arguments);\r\n\r\n /**\r\n * Run a raw rxExecute SQL statement to the database. The arguments are optional but can be set with strings to expand\r\n * ? type of SQL. If you have no arguments, you may want to call {@link #executeRawNoArgs(String)}.\r\n *\r\n * @return number of rows affected.\r\n */\r\n Observable<Integer> rxExecuteRaw(final String statement, final String... arguments);\r\n\r\n /**\r\n * Run a raw rxExecute SQL statement on the database without any arguments. This may use a different mechanism to\r\n * rxExecute the rxQuery depending on the database backend.\r\n *\r\n * @return number of rows affected.\r\n */\r\n Observable<Integer> rxExecuteRawNoArgs(final String statement);\r\n\r\n /**\r\n * Run a raw update SQL statement to the database. The statement must be an SQL INSERT, UPDATE or DELETE\r\n * statement.The arguments are optional but can be set with strings to expand ? type of SQL.\r\n *\r\n * @return number of rows affected.\r\n */\r\n Observable<Integer> rxUpdateRaw(final String statement, final String... arguments);\r\n\r\n /**\r\n * Call the call-able that will perform a number of batch tasks. This is for performance when you want to run a\r\n * number of database operations at once -- maybe loading data from a file. This will turn off what databases call\r\n * \"auto-commit\" mode, run the call-able, and then re-enable \"auto-commit\". If auto-commit is not supported then a\r\n * transaction will be used instead.\r\n * <p>\r\n * <p>\r\n * <b>NOTE:</b> If neither auto-commit nor transactions are supported by the database type then this may just call\r\n * the callable. Also, \"commit()\" is <i>not</i> called on the connection at all. If \"auto-commit\" is disabled then\r\n * this will leave it off and nothing will have been persisted.\r\n * </p>\r\n * <p>\r\n * <p>\r\n * <b>NOTE:</b> Depending on your underlying database implementation and whether or not you are working with a\r\n * single database connection, this may synchronize internally to ensure that there are not race-conditions around\r\n * the transactions on the single connection. Android (for example) will synchronize. Also, you may also need to\r\n * synchronize calls to here and calls to {@link #setAutoCommit(DatabaseConnection, boolean)}.\r\n * </p>\r\n */\r\n <CT> Observable<CT> rxCallBatchTasks(final Callable<CT> callable) throws Exception;\r\n\r\n /**\r\n * Return true if the two parameters are equal. This checks each of the fields defined in the database to see if\r\n * they are equal. Useful for testing and debugging.\r\n *\r\n * @param data1 One of the data items that we are checking for equality.\r\n * @param data2 The other data item that we are checking for equality.\r\n */\r\n Observable<Boolean> rxObjectsEqual(final T data1, final T data2);\r\n\r\n /**\r\n * Returns the ID from the data parameter passed in. This is used by some of the internal queries to be able to\r\n * search by id.\r\n */\r\n Observable<ID> rxExtractId(final T data);\r\n\r\n /**\r\n * Returns the class of the DAO. This is used by internal rxQuery operators.\r\n */\r\n Observable<Class<T>> rxGetDataClass();\r\n\r\n /**\r\n * Returns the class of the DAO. This is used by internal rxQuery operators.\r\n */\r\n Observable<FieldType> rxFindForeignFieldType(final Class<?> clazz);\r\n\r\n /**\r\n * Returns true if we can call update on this class. This is used most likely by folks who are extending the base\r\n * dao classes.\r\n */\r\n Observable<Boolean> rxIsUpdatable();\r\n\r\n /**\r\n * Returns true if the table already exists otherwise false.\r\n */\r\n Observable<Boolean> rxIsTableExists();\r\n\r\n /**\r\n * Returns the number of rows in the table associated with the data class. Depending on the size of the table and\r\n * the database type, this may be expensive and take a while.\r\n */\r\n Observable<Long> rxCountOf();\r\n\r\n /**\r\n * Returns the number of rows in the table associated with the prepared rxQuery passed in. Depending on the size of\r\n * the table and the database type, this may be expensive and take a while.\r\n * <p>\r\n * <p>\r\n * <b>NOTE:</b> If the rxQuery was prepared with the {@link QueryBuilder} then you should have called the\r\n * {@link QueryBuilder#setCountOf(boolean)} with true before you prepared the rxQuery. You may instead want to use\r\n * {@link QueryBuilder#countOf()} which makes it all easier.\r\n * </p>\r\n */\r\n Observable<Long> rxCountOf(final PreparedQuery<T> preparedQuery);\r\n\r\n /**\r\n * Like {@link #assignEmptyForeignCollection(Object, String)} but it returns the empty collection that you assign to\r\n * the appropriate field.\r\n * <p>\r\n * <p>\r\n * <b>NOTE:</b> May be deprecated in the future.\r\n * </p>\r\n */\r\n <FT> Observable<ForeignCollection<FT>> rxGetEmptyForeignCollection(final String fieldName);\r\n\r\n /**\r\n * Returns the current object-cache being used by the DAO or null if none.\r\n */\r\n Observable<ObjectCache> rxGetObjectCache();\r\n\r\n /**\r\n * Return the latest row from the database results from a rxQuery to select * (star).\r\n */\r\n Observable<T> rxMapSelectStarRow(final DatabaseResults results);\r\n\r\n /**\r\n * Return a row mapper that is suitable for mapping results from a rxQuery to select * (star).\r\n */\r\n Observable<GenericRowMapper<T>> rxGetSelectStarRowMapper();\r\n\r\n /**\r\n * Return a row mapper that is suitable for use with {@link #queryRaw(String, RawRowMapper, String...)}. This is a\r\n * bit experimental at this time. It most likely will _not_ work with all databases since the string output for each\r\n * data type is hard to forecast. Please provide feedback.\r\n */\r\n Observable<RawRowMapper<T>> rxGetRawRowMapper();\r\n\r\n /**\r\n * Returns true if an object exists that matches this ID otherwise false.\r\n */\r\n Observable<Boolean> rxIdExists(final ID id);\r\n\r\n /**\r\n * <p>\r\n * <b>WARNING:</b> This method is for advanced users only. It is only to support the\r\n * {@link #setAutoCommit(DatabaseConnection, boolean)} and other methods below. Chances are you should be using the\r\n * {@link #callBatchTasks(Callable)} instead of this method unless you know what you are doing.\r\n * </p>\r\n * <p>\r\n * <p>\r\n * This allocates a connection for this specific thread that will be used in all other DAO operations. The thread\r\n * <i>must</i> call {@link #endThreadConnection(DatabaseConnection)} once it is done with the connection. It is\r\n * highly recommended that a\r\n * <code>try { conn = dao.startThreadConnection(); ... } finally { dao.endThreadConnection(conn); }</code> type of\r\n * pattern be used here to ensure you do not leak connections.\r\n * </p>\r\n */\r\n Observable<DatabaseConnection> rxStartThreadConnection();\r\n\r\n /**\r\n * Return true if the database connection returned by the {@link #startThreadConnection()} is in auto-commit mode\r\n * otherwise false. This may not be supported by all database types.\r\n */\r\n Observable<Boolean> rxIsAutoCommit(final DatabaseConnection connection);\r\n\r\n /**\r\n * Return the associated ConnectionSource or null if none set on the DAO yet.\r\n */\r\n Observable<ConnectionSource> rxGetConnectionSource();\r\n}","title":""},{"docid":"ee82c8ffde8ddb97a920c6511dd39d84","score":"0.56991524","text":"public T get(String id) throws DaoManagerException{\n\t\treturn super.getForAccess(id);\n\t}","title":""},{"docid":"1f944564de5a28ede95c48d4de91a313","score":"0.56942797","text":"public interface JdbcDirectorDao {\r\n\t\r\n\t \r\n Collection<Director> findByLastName(String lastName) throws DataAccessException;\r\n\r\n Director findById(int id) throws DataAccessException;\r\n\r\n void save(Director Director) throws DataAccessException;\r\n void save(Set<Director> directors) throws DataAccessException;\r\n \r\n\tCollection<Director> findAll() throws DataAccessException;\r\n\t\r\n\tvoid delete(Director Director) throws DataAccessException;\r\n}","title":""},{"docid":"f673a2a9557cbb3c1e7cbefb539599c9","score":"0.5693178","text":"public interface ReadOnlyFinanceAccount {\n\n /**\n * Returns an unmodifiable view of the persons list.\n * This list will not contain any duplicate persons.\n */\n ObservableList<FinanceRecord> getFinanceList();\n\n}","title":""},{"docid":"77cca1e7f9abc5b45b51f096dea0376c","score":"0.56883","text":"public interface ItemDao {\n /**\n * @param pageNumber Page number\n * @param itemsCountOnPage how many records on page\n * @return Set with all stored items\n */\n public Set<Item> allItems(int pageNumber,\n int itemsCountOnPage);\n\n /**\n * @param id unique number of items\n * @return Set of transfer objects\n */\n public Item findItemById(Integer id);\n\n /**\n * @param title field to find\n * @return transfer object with this id\n */\n public Set<Item> findItemsByTitle(String title);\n\n /**\n * @param description field to find\n * @return Set of transfer objects\n */\n public Set<Item> findItemsByDescription(String description);\n\n /**\n * @param to Transfer Object to add in store\n * @return id from store or -1 if not added\n */\n public int insertItem(Item to);\n\n /**\n * @param id in store to delete\n * @return true if deleting complete\n */\n public boolean deleteItem(Integer id);\n\n /**\n * @param pageNumber Page number\n * @param itemsCountOnPage how many records on page\n * @param columnForOrderSpaceSortDirection array with column names and order direction separated by space\n * Example: {\"UID DESC\", \"TITLE\"}\n * @param filter value for filtering\n * @param filterColumn column for adding filter\n * @param category\n * @return Set transfer objects with this parameters\n */\n public List<FullInfo> getFullInfoItems(int pageNumber, int itemsCountOnPage, String[] columnForOrderSpaceSortDirection, String filter, String filterColumn, Integer category);\n\n /**\n * @param pageNumber Page number\n * @param itemsCountOnPage how many records on page\n * @param columnForOrderSpaceSortDirection array with column names and order direction separated by space\n * Example: {\"UID DESC\", \"TITLE\"}\n * @param filterMap search parameters\n * @param category\n * @return Set transfer objects with this parameters\n */\n public List<FullInfo> getAdvancedInfoItems(int pageNumber, int itemsCountOnPage, String[] columnForOrderSpaceSortDirection, Map<String, Object> filterMap, Integer category);\n\n\n /**\n * @param pageNumber Page number\n * @param itemsCountOnPage how many records on page\n * @param userId user id to show all items for this user\n * @return Set transfer objects with this parameters\n */\n public List<FullInfo> getFullInfoMyItems(int pageNumber, int itemsCountOnPage, Integer userId);\n\n /**\n * @return Sold item <itemId, userId>\n */\n public Map<Integer, Integer> getSoldItems();\n\n /**\n * @param itemId item for checking\n * @return true if already send message\n */\n public boolean isInformationMessageSend(Integer itemId);\n\n /**\n * @param itemId set item complete biding\n * @return status to add mark\n */\n public boolean markAsSendedMessage(Integer itemId);\n\n /**\n * @param itemId Item\n * @return Information about biding to this lot\n */\n public List<History> getHistory(Integer itemId);\n\n /**\n * @return category information\n */\n public List<Category> getCategory();\n\n /**\n * @param to\n * @return status true - success\n */\n public boolean updateItem(Item to);\n}","title":""},{"docid":"ad4cdb79f42de0fb0266e678c1a270ff","score":"0.5687735","text":"public interface LowLevelDB {\n byte[] get(byte[] key);\n\n void set(byte[] key,byte[] value);\n\n void delete(byte[] key);\n\n LowLevelDBIterator iterator();\n\n// def batchWrite(action: LowLevelWriteBatch => Unit)\n}","title":""},{"docid":"582907c76294c2ffe6e44d65e728ffc3","score":"0.56839556","text":"public interface UserDataSource {\n List<User> getUsers();\n\n User getUserById(int id);\n\n User createUser(User user);\n\n void updateUser(User user);\n\n void deleteUser(int id);\n}","title":""},{"docid":"3137d80e5c9d286d5da1aff7d747dc35","score":"0.568293","text":"public interface BaseDao<T> {\n /**\n * 保存对象\n */\n void save(T object);\n /**\n * 保存对象\n */\n T merge(T object);\n /**\n * 删除对象\n */\n void delete(T object);\n /**\n * 更新对象\n */\n void update(T object);\n /**\n * 从session中移除\n */\n void evict(T object);\n /**\n * 根据ID查找\n *\n * @param id\n * Serializable\n * @return T\n */\n T findById(Serializable id);\n /**\n * 保存或更新(如果对象已存在)\n *\n * @param object\n * T\n */\n void saveOrUpdate(T object);\n /**\n * 批量删除\n *\n * @param objects\n * Collection\n */\n void deleteBatch(Collection<T> objects);\n /**\n * 批量保存或更新\n *\n * @param objects\n * Collection\n */\n //void saveOrUpdateAll(Collection<T> objects);\n /**\n * 查找所有对象\n *\n * @param pageParam\n * PageBean 分页查找参数，开始页，与最大记录条数\n * @return Collection\n */\n List<T> findAll(PageBean... pageParam);\n /**\n * 查找所有对象\n *\n * @param orderByProperties\n * OrderBy[] 需要排序的属性名，\n * @param pageParam\n * Integer[] 分页查找参数，开始页，与最大记录条数\n * @return Collection\n */\n List<T> findAll(List<OrderCondition> orderByProperties, PageBean... pageParam);\n /**\n * 查找和所给对象相似的所有对象，相似表示所给对象中非空的属性值相同的对象\n *\n * @param object\n * T\n * @param pageParam\n * Integer[] 分页查找参数，开始页，与最大记录条数\n * @return Collection\n */\n List<T> findByExample(T object, PageBean... pageParam);\n /**\n * 根据属性查找，属性对应的值可以支持含有like条件，以及是sqlcondition下的条件对象。\n *\n * @param propertyName\n * String\n * @param value\n * Object\n * @param pageParam\n * Integer[] 分页查找参数，开始页，与最大记录条数\n * @return Collection\n */\n List<T> findByProperty(String propertyName, Object value, PageBean... pageParam);\n /**\n * 根据单个属性查找,并指定排序列，属性对应的值可以支持含有like，以及是sqlcondition下的对象。\n *\n * @param propertyName\n * String\n * @param value\n * Object\n * @param orderByProperties\n * OrderBy[] 需要排序的属性名，\n * @param pageParam\n * Integer[] 分页查找参数，开始页，与最大记录条数\n * @return Collection\n */\n List<T> findByProperty(String propertyName, Object value, List<OrderCondition> orderByProperties, PageBean... pageParam);\n /**\n * 根据属性查找,并指定排序列，属性对应的值可以支持含有like条件，以及是sqlcondition下的对象。\n *\n * @param properties\n * Map\n * @param orderByProperties\n * OrderBy[] 需要排序的属性名，\n * @param pageParam\n * Integer[] 分页查找参数，开始页，与最大记录条数\n * @return Collection\n */\n List<T> findByProperties(ConditionSet properties, List<? extends OrderCondition> orderByProperties, PageBean... pageParam);\n /**\n * 根据属性查找,并指定排序列，属性对应的值可以支持含有like条件，以及是sqlcondition下的对象。\n *\n * @param properties\n * Map\n * @param orderByProperty OrderBy 需要排序的属性名\n * @param pageParam\n * Integer[] 分页查找参数，开始页，与最大记录条数\n * @return Collection\n */\n List<T> findByProperties(ConditionSet properties, OrderCondition orderByProperty, PageBean... pageParam);\n /**\n * 根据属性查找，属性对应的值可以支持含有like条件，如果是sqlcondition.Like的类型。\n *\n * @param conditionSet\n * Map\n * @param pageParam\n * Integer[] 分页查找参数，开始页，与最大记录条数\n * @return Collection\n */\n List<T> findByProperties(ConditionSet conditionSet, PageBean... pageParam);\n /**\n * 根据属性查找,并指定排序列，属性对应的值可以支持含有like条件，以及是sqlcondition下的对象。\n *\n * @param properties\n * Map\n * @return Collection\n */\n T findUniqueByProperties(ConditionSet properties);\n /**\n * 根据属性查询记录个数\n * @param properties\n * @return\n */\n Long findCountByProperties(ConditionSet properties);\n /**\n * 执行hql语句查询，如果上面的那些方法都不可用的话，如果不带totalCountHql，本方法不计算总记录数\n *\n * @param hql\n * String\n *\n * @param pageParam\n * Integer[]\n * @return Collection\n */\n List queryByHQL(String hql, String totalCountHql, PageBean... pageParam);\n /**\n * 执行hql语句查询，如果上面的那些方法都不可用的话\n *\n * @param hql\n * String\n * @param queryParam\n * Integer[]\n * @return Collection\n */\n List queryByHQL(String hql, Map<String, Object> queryParam);\n /**\n * 跟与hql和参数查询,如果不带totalCountHql，本方法不计算总记录数\n * @param hql\n * @param queryParam\n * @param pageParam\n * @return\n */\n List queryByHQL(final String hql, final Map<String, Object> queryParam, String totalCountHql, final PageBean... pageParam);\n /**\n * 执行hql语句查询;hql语句中变量为?;根据动态参数顺序传入查询参数\n */\n List queryByHqlWithParams(final String hql, final Object... values);\n /**\n * 提供sql和参数查询,如果不带totalCountSql，本方法不计算总记录数\n * @param sql\n * @param queryParam\n * @param totalCountHql\n * @param entities(实体映射)\n * @param pageParam\n * @return\n */\n public List queryBySQL(final String sql, final Map<String, Object> queryParam, final String totalCountHql, final Map<String, Class<?>> entities, final PageBean... pageParam);\n /**\n * 提供sql和参数查询,如果不带totalCountSql，本方法不计算总记录数\n * @author lichang\n * @param sql\n * @param queryParam\n * @param totalCountSql\n * @param pageParam\n * @return\n */\n List queryBySQL(final String sql, final Map<String, Object> queryParam, String totalCountSql, final PageBean... pageParam);\n /**\n * 执行更新的hql\n *\n * @param hql\n * String\n */\n Integer executeUpdateHql(String hql);\n Integer executeUpdateHql(String hql, Map<String, Object> params);\n Integer executeUpdateSql(final String sql, final Map<String, Object> params);\n /**\n * 根据属性值，批量删除\n * @param propertyName\n * @param value\n * @return\n */\n public Integer deleteByProperty(String propertyName, Object value);\n /**\n * 根据属性的值批量删除\n *\n * @param props\n * @return\n */\n Integer deleteByProperties(Map<String, Object> props);\n /**\n * 根据特殊的条件查询\n * @param properties 属性名称数组，属性名称支持段式：\"属性名OPERATOR属性值\",OPERATOR可以为\"=,>,<\",字符串类型可以带%查询，表示匹配任意\n * @param orderBy 按属性排序， 属性名：0|1，0降序，1升序\n * @param pageBean\n */\n List<T> findByCommonCondition(String[] properties, String[] orderBy, PageBean... pageBean);\n List<T> findByCriteria(DetachedCriteria criteria);\n List<T> findByCriteriaWithPages(final DetachedCriteria criteria, final PageBean... pageBean);\n}","title":""},{"docid":"1d664d066d4ae42d4d2c7d7f0d641b23","score":"0.56785697","text":"public interface CarDAO {\n\t\n\tpublic void addCar(Car p);\n public List<Car> listCars();\n public void deleteCar(Car p);\n public void updateCar(Car p);\n\n}","title":""},{"docid":"448fbe7cf7a9c854208cb8ba60d2d0e0","score":"0.5669189","text":"public interface IdentityDAOInterface {\n\n\t\n\t/**\n\t * Read all the identity details created in the Identity system \n\t * @return list of identity\n\t */\n\tList<Identity> readAll();\n\n\t/**\n\t * search particular identity with email adress\n\t * @param identity -Identity object\n\t * @return list of identities\n\t */\n\tList<Identity> search(Identity identity);\n\t\n\t/**\n\t * create an identity to the Identity system\n\t * @param identity - Identity object\n\t */\n\tvoid write(Identity identity);\n\t\n\t/**\n\t * Update existing identity details\n\t * @param identity -Identity object\n\t */\n\tvoid update(Identity identity);\n\t\n\t/**\n\t *Delete an existing identity from the system\n\t * @param identity -Identity object\n\t */\n\tvoid delete(Identity identity);\n\n}","title":""},{"docid":"1994dd797143b3b0eb0ee7475890d862","score":"0.5665774","text":"public interface StudentDAO {\r\n\r\n void saveStudent(Student student);\r\n\r\n Student getStudentById(int id);\r\n\r\n void updateStudentProfile(Student student);\r\n\r\n\r\n\r\n}","title":""},{"docid":"b46bd600ce3a69123033e57e235444a6","score":"0.5664512","text":"public DataAccessor getDataAccessor() {\n\t\treturn dataAccessor;\n\t}","title":""},{"docid":"aeca8fe94d46d4931be5bc79d7263fe2","score":"0.5657987","text":"public interface GenericCrud<T extends Identifiable<PK>, PK> {\n\t/**\n\t * Stores the specified object if absent\n\t * @param t Object to store in persistence\n\t * @return The stored object if succeeded else returns null\n\t */\n\tT create(T t);\n\n\t/**\n\t * Retrieves the object with the given id if present\n\t * @param id The object id to retrieve\n\t * @return The object with the given id if present, else returns null\n\t */\n\tT read(PK id);\n\n\t/**\n\t * Updates the given object in storage if present\n\t * @param t The object to update\n\t * @return The updated object or nulls if absent\n\t */\n\tT update(T t);\n\n\t/**\n\t * Deletes the given object in storage\n\t * @param t The object to delete\n\t */\n\tvoid delete(T t);\n}","title":""},{"docid":"3f5949c50b594eebc81fd283f0f817fc","score":"0.5655245","text":"interface AccessDelegate {\n\n long create(EntityManager entityManager, String eagerProperty1, String lazyProperty1, String lazyProperty2);\n\n void updateAllProperties(EntityManager entityManager, long entityId, String eagerProperty1, String lazyProperty1,\n String lazyProperty2);\n\n void updateAllLazyProperties(EntityManager entityManager, long entityId, String lazyProperty1, String lazyProperty2);\n\n void updateOneEagerProperty(EntityManager entityManager, long entityId, String eagerProperty1);\n\n void updateOneLazyProperty(EntityManager entityManager, long entityId, String lazyProperty1);\n\n void testLazyLoadingAndPersistedValues(EntityManager entityManager, long entityId,\n String expectedEagerProperty1,\n String expectedLazyProperty1,\n String expectedLazyProperty2);\n }","title":""},{"docid":"54b86e1af0e14eb260aefb3855c0d7b0","score":"0.5655089","text":"public interface CustomerGradeDao {\n /**\n * get list of all grades.\n * @return list of grades.\n */\n List<CustomerGrade> getAllCustomerGrades();\n\n /**\n * update customer grade.\n * @param customerGrade customerGrade\n */\n void updateCustomerGrade(CustomerGrade customerGrade);\n\n /**\n * get customer grade by code.\n * @param gradeCode gradeCode\n * @return customer grade.\n */\n CustomerGrade getCustomerGradeByCode(String gradeCode);\n}","title":""},{"docid":"e331e72efb6dffe5081f071d0653499c","score":"0.56521034","text":"public interface DummyObjectDao {\n public List<Map<String, Object>> getObjectFromDbById(String sqlQuery, String...params);\n}","title":""},{"docid":"7ec7238a64b4ac71bce6a07ac624ef22","score":"0.5652028","text":"public interface IMediumDAO {\n\n List<Medium> listAll() throws MovieException;\n Medium get(Medium medium) throws MovieException;\n void add(Medium medium) throws MovieException;\n void remove(Medium medium) throws MovieException;\n void change(Medium medium) throws MovieException;\n void close() throws MovieException;\n //public boolean isUsed(Medium medium) throws MovieException;\n\n}","title":""},{"docid":"7208be8160a969a429e3fee46732a141","score":"0.5651333","text":"public T load(ID id) throws DataAccessException;","title":""},{"docid":"75fd750520ffecdb207c2f0625e32a85","score":"0.5647465","text":"public interface ReadOnlyTrackedDataList {\n\n /**\n * Returns an unmodifiable view of a list of tracked parameters.\n * This list will not contain any duplicate parameter.\n */\n ObservableList<Parameter> getTrackedDataList();\n\n}","title":""},{"docid":"7758389ac19015074b570fec802e2514","score":"0.56444323","text":"public interface SerieRepository extends ReadWriteBaseRepository<Serie, Long> {\r\n\r\n}","title":""},{"docid":"9b377b13639619b41f4c10a17c62d30e","score":"0.56419533","text":"public interface OibAppPropertyDao {\n\n List<OibAppProperty> getPropertiesByName(String name);\n\n OibAppProperty getPropertyByName(String name);\n\n void updateProperty(OibAppProperty property);\n\n void deletePropertyById(int id);\n}","title":""},{"docid":"96d10d68f4040f8e0e32a328e7063080","score":"0.5636229","text":"public interface DataSourceService {\n\n /**\n * @return the Template used to render the data source\n */\n public Template getTemplate();\n\n /**\n * Create the properties used in the template.\n * \n * @param parameters\n * parameters used for this request\n * @return the list of DataSourceProperty instances to use in the template\n */\n public List<DataSourceProperty> getDataSourceProperties(Map<String, Object> parameters);\n\n /**\n * Execute a query request and return the result as a json string.\n * \n * @param parameters\n * the parameters often coming from the HTTP request\n * @return the json result string\n */\n public String fetch(Map<String, String> parameters);\n\n /**\n * Execute a delete action. The id of the deleted record is present in the parameters.\n * \n * @param parameters\n * the parameters often coming from the HTTP request\n * @return the result message as a json string\n */\n public String remove(Map<String, String> parameters);\n\n /**\n * Execute an insert action.\n * \n * @param parameters\n * the parameters often coming from the HTTP request\n * @param content\n * , the request content, is assumed to be a json string\n * @return the result message as a json string\n */\n public String add(Map<String, String> parameters, String content);\n\n /**\n * Execute an update action.\n * \n * @param parameters\n * the parameters often coming from the HTTP request\n * @param content\n * , the request content, is assumed to be a json string\n * @return the result message as a json string\n */\n public String update(Map<String, String> parameters, String content);\n\n /**\n * The name of this service, in the default implementation this is the entityname of the\n * {@link Entity} to get/insert/update/delete.\n * \n * @return the name of the service\n */\n public String getName();\n\n public void setName(String name);\n\n public String getDataUrl();\n\n public void setDataUrl(String dataUrl);\n\n public Entity getEntity();\n\n public void setEntity(Entity entity);\n\n /**\n * This method allows to implement a security access to a DataSource when it is used fetch()\n * method. It can be overridden in specific DataSources to apply a particular security mechanism.\n *\n * @throws OBSecurityException\n * is thrown if current role does not have access.\n */\n public void checkFetchDatasourceAccess(Map<String, String> parameter) throws OBSecurityException;\n\n /**\n * This method allows to implement a security access to a DataSource when it is used add(), update()\n * or remove() methods. It can be overridden in specific DataSources to apply a particular\n * security mechanism.\n *\n * @throws OBSecurityException\n * is thrown if current role does not have access.\n */\n public void checkEditDatasourceAccess(Map<String, String> parameter) throws OBSecurityException;\n\n public String getWhereClause();\n\n public void setWhereClause(String whereClause);\n\n /**\n * This method allows to implement a security access to a DataSource when it is used add(),\n * update() or remove() methods. It can be overridden in specific DataSources to apply a\n * particular security mechanism.\n * \n * @return the data source read from the database. Note: can be null for data sources which are\n * created in-memory on request.\n */\n public DataSource getDataSource();\n\n /**\n * Passes in the data source read from the database. Is the place to initialize the data in the\n * service class\n * \n * @param dataSource\n * the data source read from the database.\n */\n public void setDataSource(DataSource dataSource);\n}","title":""},{"docid":"802cb5f10821ea98a780cd1e8b0270b1","score":"0.5635615","text":"public interface ICollectionDAO {\n int save(Map<String,Object> map);\n\n int check(Map<String,Object> map);\n\n int delete(Map<String,Object> map);\n\n List<MajorPojo> queryPage(Map<String,Object> map);\n\n int count(Map<String,Object> map);\n}","title":""}],"string":"[\n {\n \"docid\": \"2888867b2acf6675e8dc323e59bc577c\",\n \"score\": \"0.65610975\",\n \"text\": \"public interface DataAccessObject {\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet d'ajouter une note a la base de donnee.\\r\\n\\t * \\r\\n\\t * @param note\\r\\n\\t * La note a ajouter.\\r\\n\\t */\\r\\n\\tvoid ajouterNote(Note note);\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet d'ajouter une matiere a la base de donnee.\\r\\n\\t * \\r\\n\\t * @param matiere\\r\\n\\t * La matiere a ajouter.\\r\\n\\t */\\r\\n\\tvoid ajouterMatiere(Matiere matiere);\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet d'ajouter un semestre a la base de donnee.\\r\\n\\t * \\r\\n\\t * @param semestre\\r\\n\\t * Le semestre a ajouter.\\r\\n\\t */\\r\\n\\tvoid ajouterSemestre(Semestre semestre);\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet d'ajouter une personne a la base de donnee.\\r\\n\\t * \\r\\n\\t * @param personne\\r\\n\\t * La personne a ajouter.\\r\\n\\t */\\r\\n\\tvoid ajouterPersonne(Personne personne);\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet d'ajouter une adresse a la base de donnee.\\r\\n\\t * \\r\\n\\t * @param adresse\\r\\n\\t * L'adresse a ajouter.\\r\\n\\t */\\r\\n\\tvoid ajouterAdresse(Adresse adresse);\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet d'ajouter un ue a la base de donnee.\\r\\n\\t * \\r\\n\\t * @param ue\\r\\n\\t * L'ue a ajouter.\\r\\n\\t */\\r\\n\\tvoid ajouterUe(UniteEnseignement ue);\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de supprimer une adresse de la base de donnee.\\r\\n\\t * \\r\\n\\t * @param idAdresse\\r\\n\\t * L'id de l'adresse a supprimer.\\r\\n\\t */\\r\\n\\tvoid supprimerAdresse(Integer idAdresse);\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de supprimer une note de la base de donnee.\\r\\n\\t * \\r\\n\\t * @param idNote\\r\\n\\t * L'id de la note a supprimer.\\r\\n\\t */\\r\\n\\tvoid supprimerNote(Integer idNote);\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de supprimer une matiere de la base de donnee.\\r\\n\\t * \\r\\n\\t * @param idMatiere\\r\\n\\t * L'id de la matiere a supprimer.\\r\\n\\t */\\r\\n\\tvoid supprimerMatiere(Integer idMatiere);\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de supprimer un semestre de la base de donnee.\\r\\n\\t * \\r\\n\\t * @param idSemestre\\r\\n\\t * L'id du semestre a supprimer.\\r\\n\\t */\\r\\n\\tvoid supprimerSemestre(Integer idSemestre);\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de supprimer une personne de la base de donnee.\\r\\n\\t * \\r\\n\\t * @param idPersonne\\r\\n\\t * L'id de la personne � supprimer.\\r\\n\\t */\\r\\n\\tvoid supprimerPersonne(Integer idPersonne);\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de supprimer un ue de la base de donnee.\\r\\n\\t * \\r\\n\\t * @param ue\\r\\n\\t * L'ue a supprimer.\\r\\n\\t */\\r\\n\\tvoid supprimerUe(UniteEnseignement ue);\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de recuperer la liste des notes en base de donnee.\\r\\n\\t * \\r\\n\\t * @return La liste des notes.\\r\\n\\t * \\r\\n\\t */\\r\\n\\tList<Note> recupererNotes();\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de recuperer la liste des professeurs en base de donnee.\\r\\n\\t * \\r\\n\\t * @return La liste des professeurs.\\r\\n\\t * \\r\\n\\t */\\r\\n\\tList<Professeur> recupererProfesseurs();\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de recuperer la liste des administrateurs en base de donnee.\\r\\n\\t * \\r\\n\\t * @return La liste des administrateurs.\\r\\n\\t * \\r\\n\\t */\\r\\n\\tList<Administrateur> recupererAdministrateurs();\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de recuperer la liste des etudiants en base de donnee.\\r\\n\\t * \\r\\n\\t * @param promotion\\r\\n\\t * La promotion a recuperer, recupere tous les etudiants si null.\\r\\n\\t * \\r\\n\\t * @return La liste des eleves.\\r\\n\\t * \\r\\n\\t */\\r\\n\\tList<Etudiant> recupererEtudiants(String promotion);\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de recuperer la liste des matieres en base de donnee.\\r\\n\\t * \\r\\n\\t * @return La liste des matieres.\\r\\n\\t * \\r\\n\\t */\\r\\n\\tList<Matiere> recupererMatieres();\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de recuperer la liste des matieres en base de donnee.\\r\\n\\t * \\r\\n\\t * @return La liste des matieres.\\r\\n\\t * \\r\\n\\t */\\r\\n\\tList<Adresse> recupererAdresses();\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de recuperer la liste des semestres en base de donnee.\\r\\n\\t * \\r\\n\\t * @return La liste des semestres.\\r\\n\\t * \\r\\n\\t */\\r\\n\\tList<Semestre> recupererSemestres();\\r\\n\\r\\n\\t/**\\r\\n\\t * Permet de recuperer la liste des ue en base de donnee.\\r\\n\\t * \\r\\n\\t * @return La liste des ue.\\r\\n\\t * \\r\\n\\t */\\r\\n\\tList<UniteEnseignement> recupererUe();\\r\\n\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5ab45f736b56e4d62f5005de1808da69\",\n \"score\": \"0.6557942\",\n \"text\": \"public <T extends PersistentObject> ORMLiteAccessObject<T> getDataAccessObject(Class<T> clazz);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"306c12e749a8874ba287f8e247cd5e76\",\n \"score\": \"0.6486622\",\n \"text\": \"public interface IDataAccessObject<T>\\n{\\n\\t/**\\n\\t * Adds the meal to the database.\\n\\t * @param entity the meal\\n\\t */\\n\\tvoid Add(T entity);\\n\\n\\n\\t/**\\n\\t * Removes the meal to the database.\\n\\t * @param entity the meal\\n\\t */\\n\\tvoid Remove(T entity);\\n\\n\\t/**\\n\\t * Lists all the meal.\\n\\t * @return list with all the meal\\n\\t */\\n\\tList<T> All();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ec07cdc9c66ed2f2acac02aafe32c336\",\n \"score\": \"0.64759696\",\n \"text\": \"public interface ApproachShotLineDAO extends DAO {\\r\\n\\r\\n\\t/**\\r\\n\\t * Get the description\\r\\n\\t * @return\\r\\n\\t */\\r\\n\\tString getDescription();\\r\\n\\t\\r\\n\\t/**\\r\\n\\t * Set the description\\r\\n\\t * @param aDescription\\r\\n\\t */\\r\\n\\tvoid setDescription(String aDescription);\\r\\n\\t\\r\\n\\t/**\\r\\n\\t * Get the short description\\r\\n\\t * @return\\r\\n\\t */\\r\\n\\tString getShortDescription();\\r\\n\\t\\r\\n\\t/**\\r\\n\\t * Set the short description\\r\\n\\t * @param aDescription\\r\\n\\t */\\r\\n\\tvoid setShortDescription(String aDescription);\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"82e6fd7d17e32588f0e78723fb3a4d8a\",\n \"score\": \"0.64310235\",\n \"text\": \"public interface DataObjectService {\\n public List<DataObject> findAll();\\n public DataObject findById(Integer objectId);\\n public boolean addObject(DataObject object);\\n public boolean editObject(DataObject object, Integer objectId);\\n public boolean removeObject(Integer objectId);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8f3de2242849b79a9e66497c6206e493\",\n \"score\": \"0.6253013\",\n \"text\": \"public interface ItemTramiteDAO {\\r\\n\\r\\n\\t/**\\r\\n\\t * Select list.\\r\\n\\t *\\r\\n\\t * @param criterio\\r\\n\\t * the criterio\\r\\n\\t * @return the list\\r\\n\\t */\\r\\n\\tList<ItemTramiteVO> selectList(final ItemTramiteCriterioVO criterio);\\r\\n\\r\\n\\t/**\\r\\n\\t * Select object.\\r\\n\\t *\\r\\n\\t * @param criterio\\r\\n\\t * the criterio\\r\\n\\t * @return the item tramite VO\\r\\n\\t */\\r\\n\\tItemTramiteVO selectObject(final ItemTramiteCriterioVO criterio);\\r\\n\\r\\n\\t/**\\r\\n\\t * Insert.\\r\\n\\t *\\r\\n\\t * @param vo\\r\\n\\t * the vo\\r\\n\\t */\\r\\n\\tvoid insert(final ItemTramiteVO vo);\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"30185fe7d9f0ea880502c68e0b02f955\",\n \"score\": \"0.624806\",\n \"text\": \"public interface DbAccess {\\n\\n /**\\n * 读取数据\\n *\\n * @param key\\n */\\n Optional<Object> get(String key);\\n\\n /**\\n * 增加数据\\n *\\n * @param key\\n * @param value\\n */\\n void put(String key, Object value);\\n\\n /**\\n * 按前缀查找\\n *\\n * @param prefix\\n * @param <T>\\n * @return\\n */\\n <T> List<T> selectByPrefix(String prefix);\\n\\n /**\\n * 关闭数据库连接\\n */\\n void closeDB();\\n\\n /**\\n * 删除key\\n */\\n void delete(String key);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"793ad09c4d32b1895741cba4c3e5c634\",\n \"score\": \"0.62273973\",\n \"text\": \"public interface IBaseDAO <T,I>{\\n boolean set(List<T> obj) throws SQLException;\\n List<T> get(List<I> ids) throws SQLException;\\n boolean delete(List<I> ids) throws SQLException;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"231201ca7b47282fb7f2d1ddc9fa4c02\",\n \"score\": \"0.6176931\",\n \"text\": \"public interface GenericDaoReadOnly<T, ID extends Serializable, S extends SearchCriteria>\\n{\\n\\t/** \\n\\t * TODO\\n\\t * loads an object from persistence using its id\\n\\t *\\n\\t * @throws DataAccessException if the object with that id is not found\\n\\t */\\n\\tpublic T load(ID id) throws DataAccessException;\\n\\t\\n\\t/**\\n\\t * TODO\\n\\t * Search for objects considering the given search criteria\\n\\t * @param searchCriteria\\n\\t * @return PageList<T>\\n\\t */\\n\\tpublic List<T> findByCriteria(S searchCriteria);\\n\\t\\n\\t/**\\n\\t * TODO\\n\\t * @param searchCriteria\\n\\t */\\n\\tpublic int count(S searchCriteria);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b22871395c5b305eb299936e64739ae7\",\n \"score\": \"0.6090775\",\n \"text\": \"public interface CustomersDAO {\\n void addCustomers(Customers customers);\\n void readCustomers(int id);\\n\\n void updateCustomers(String name, int id);\\n void deleteCustomers(int id);\\n\\n List<Customers> getAllCustomers();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c0b8160d6512d8fcc50523607ccd2d2c\",\n \"score\": \"0.6077784\",\n \"text\": \"public interface UserDataAccess {\\n\\n public User getUser(Long userId);\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"92a25d14205e2160748a79f62d4963ca\",\n \"score\": \"0.6063281\",\n \"text\": \"public interface PersistenceOperationsDAO {\\n\\n public List query(int id);\\n\\n public void insert(Object object);\\n\\n public void delete(int id);\\n\\n public void update(Object object);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74107ed51321695c1ea15fc630c9e748\",\n \"score\": \"0.6040955\",\n \"text\": \"public interface DataEntity {\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0cd80092c0c6b75f7c1b47a86195af3b\",\n \"score\": \"0.6036066\",\n \"text\": \"public interface ProcesoDAO {\\r\\n\\r\\n /**\\r\\n * Count.\\r\\n *\\r\\n * @param criterio\\r\\n * the criterio\\r\\n * @return the int\\r\\n */\\r\\n int count(final ProcesoCriterioVO criterio);\\r\\n\\r\\n /**\\r\\n * Select list.\\r\\n *\\r\\n * @param criterio\\r\\n * the criterio\\r\\n * @param bounds\\r\\n * the bounds\\r\\n * @return the list\\r\\n */\\r\\n List<ProcesoVO> selectList(final ProcesoCriterioVO criterio, final RowBounds bounds);\\r\\n\\r\\n /**\\r\\n * Select list.\\r\\n *\\r\\n * @param criterio\\r\\n * the criterio\\r\\n * @return the list\\r\\n */\\r\\n List<ProcesoVO> selectList(final ProcesoCriterioVO criterio);\\r\\n\\r\\n /**\\r\\n * Select object.\\r\\n *\\r\\n * @param criterio\\r\\n * the criterio\\r\\n * @return the proceso VO\\r\\n */\\r\\n ProcesoVO selectObject(final ProcesoCriterioVO criterio);\\r\\n\\r\\n /**\\r\\n * Insert.\\r\\n *\\r\\n * @param prbt\\r\\n * the prbt\\r\\n */\\r\\n void insert(final ProcesoVO prbt);\\r\\n\\r\\n /**\\r\\n * Delete.\\r\\n *\\r\\n * @param prbt\\r\\n * the prbt\\r\\n * @return the int\\r\\n */\\r\\n int delete(final ProcesoVO prbt);\\r\\n\\r\\n /**\\r\\n * Update iniciar.\\r\\n *\\r\\n * @param prbtId\\r\\n * the prbt id\\r\\n * @return the int\\r\\n */\\r\\n int updateIniciar(final Long prbtId);\\r\\n\\r\\n /**\\r\\n * Update finalizar.\\r\\n *\\r\\n * @param prbt\\r\\n * the prbt\\r\\n * @return the int\\r\\n */\\r\\n int updateFinalizar(final ProcesoVO prbt);\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d462d1f0b6a92db6f75dc43ddc3e7ee7\",\n \"score\": \"0.601296\",\n \"text\": \"public interface DatabaseAccessor {\\r\\n\\r\\n /**\\r\\n * Returns the identificator.\\r\\n * \\r\\n * @return the identificator\\r\\n * @throws DataAccessException\\r\\n */\\r\\n Identificator getIdentificator() throws DataAccessException;\\r\\n\\r\\n /**\\r\\n * Reads a field value.\\r\\n * \\r\\n * @param <E>\\r\\n * the field type\\r\\n * @param context\\r\\n * the context\\r\\n * @return the field value\\r\\n * @throws DataAccessException\\r\\n * if reading the field from the database occured an error\\r\\n * @throws UnsupportedFieldTypeException\\r\\n * if the field type is not supported by the driver\\r\\n */\\r\\n <E> E getFieldValue( FieldContext<E> context ) throws DataAccessException, UnsupportedFieldTypeException;\\r\\n\\r\\n /**\\r\\n * Sets a field value. This value change must not be persistent until the\\r\\n * {@link #store()} method is invoked.\\r\\n * \\r\\n * @param <E>\\r\\n * the field type\\r\\n * @param context\\r\\n * the context\\r\\n * @param value\\r\\n * the converted value\\r\\n * @throws DataAccessException\\r\\n * if storing the value to the database occured an error\\r\\n * @throws UnsupportedFieldTypeException\\r\\n * if the field type is not supported by the driver\\r\\n */\\r\\n <E> void setFieldValue( FieldContext<E> context, E value ) throws DataAccessException, UnsupportedFieldTypeException;\\r\\n\\r\\n /**\\r\\n * Returns all available field names.\\r\\n * \\r\\n * @return the field names\\r\\n * @throws DataAccessException\\r\\n */\\r\\n String[] getFields() throws DataAccessException;\\r\\n\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0c3cac38a0e2230f73dc24755d28c013\",\n \"score\": \"0.59964985\",\n \"text\": \"@Override\\n\\tpublic Carte update(Carte carte) throws DataAccessException {\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"06891c66763b1adca31bead0fa5a9a8e\",\n \"score\": \"0.5994824\",\n \"text\": \"public interface IStudentDao {\\n public void add(Student student) ;\\n\\n public void delete(int id) ;\\n\\n public void update(Student student) ;\\n\\n public Student get(int id);\\n\\n public List<Student> getAll();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"97be7c8501bce1f69e344fb384d99a47\",\n \"score\": \"0.5992453\",\n \"text\": \"public interface CustomerDAO {\\r\\n\\t\\r\\n\\tpublic int insertCustomer();\\r\\n\\tpublic boolean deleteCustomer();\\r\\n\\tpublic CustomerTO findCustomer();\\r\\n\\tpublic boolean updateCustomer();\\r\\n\\tpublic RowSet selectCustomersRS();\\r\\n\\tpublic Collection<String> selectCustomersTO();\\r\\n\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0d72b4c2601c32a3a8dd8393e6d7e925\",\n \"score\": \"0.59521073\",\n \"text\": \"Developer readDeveloperById(int id) throws DataAccessException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74b7d6f9b9d9c5d72ee2581ea502de78\",\n \"score\": \"0.5950805\",\n \"text\": \"public interface UserCredentialsDAO extends DBDAO<UserCredentials> {\\n //Define non-standard CRUD methods.\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c6cad8433d7cf3f0cdb28fe3463e1995\",\n \"score\": \"0.59481984\",\n \"text\": \"public interface IDaoEntity<T>{\\r\\n\\t/**\\r\\n\\t * creates/saves entity to storage\\r\\n\\t * @param entity - to be saved\\r\\n\\t * @return created entity, with id set\\r\\n\\t */\\r\\n\\tT create(T entity);\\r\\n\\t/**\\r\\n\\t * read entity from storage\\r\\n\\t * @param id - id of entity in storage \\r\\n\\t * @return entity loaded from storage\\r\\n\\t */\\r\\n\\tT read (long id);\\r\\n\\t/**\\r\\n\\t * edit existing entity\\r\\n\\t * @param entity - information to update storage\\r\\n\\t * @return entity containing info before update\\r\\n\\t */\\r\\n\\tT update(T entity);\\r\\n\\t/**\\r\\n\\t * delete entity from storage\\r\\n\\t * @param id - of entity to be deleted\\r\\n\\t * @return deleted entity - returned entity will not have reference in storage\\r\\n\\t */\\r\\n\\tT delete(long id);\\r\\n\\t/**\\r\\n\\t * read all entities\\r\\n\\t * @return list of all entities \\r\\n\\t */\\r\\n\\tList<T> readAll();\\r\\n\\t\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f3cd9ff1e22eb8dfebde12dcc6e34d9e\",\n \"score\": \"0.59432197\",\n \"text\": \"public interface IGeneralDataService<T> {\\n\\n /**\\n * Creates a new record or updates an existing one.\\n * @param record The object to persist/update\\n * @return The same instance that was persisted/updated\\n * @throws Exception When an error occurs\\n */\\n public T createOrUpdate(T record) throws Exception;\\n /**\\n * Deletes a record from the database.\\n * @param record The entity to remove\\n * @throws Exception When an error occurs\\n */\\n public void delete(T record) throws Exception;\\n /**\\n * Finds a record by its id\\n * @param id Database ID for the record\\n * @return The object represented by the specified ID\\n * @throws Exception When an error occurs\\n */\\n public T getRecord(int id) throws Exception;\\n /**\\n * Finds the records that match the specified conditions\\n * @param filters List of {@link QueryFilter} objects that represent the restrictions for the search\\n * @param orderBy Name of the property to order the results over, pass {@code null} if no explicit\\n * ordering is required\\n * @param ascending {@code true} for ascending ordering, {@code false} otherwise\\n * @return A list of objects of type {@code T}\\n * @throws Exception When an error occurs\\n */\\n public List<T> getRecordsList(List<QueryFilter> filters, String orderBy, boolean ascending) throws Exception;\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"30a64c9fd5602f3864aeb6909254d724\",\n \"score\": \"0.59356594\",\n \"text\": \"public interface ReadOnlyCatalogue {\\n\\n /**\\n * Returns an unmodifiable view of the books list.\\n * This list will not contain any duplicate books.\\n */\\n ObservableList<Book> getBookList();\\n\\n /**\\n * Returns an unmodifiable view of the tags list.\\n * This list will not contain any duplicate tags.\\n */\\n ObservableList<Tag> getTagList();\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f3a15492585aec1fbde69b9faa4904f7\",\n \"score\": \"0.59317523\",\n \"text\": \"public interface IPriceDAO {\\r\\n\\t\\r\\n\\tpublic boolean save(Price price);\\r\\n\\r\\n\\tpublic boolean update(Price price);\\r\\n\\r\\n\\tpublic boolean delete(Price price);\\r\\n\\r\\n\\tpublic boolean delete(Integer priceID);\\r\\n\\r\\n\\tpublic Price findById(Integer priceID);\\r\\n\\r\\n\\tpublic List<Price> findAll();\\r\\n\\t\\r\\n\\tpublic List<Price> findByProperty(String name, Object proValue);\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"924cc55be870cf3027a52308bdc6af8f\",\n \"score\": \"0.592143\",\n \"text\": \"public interface InterfaceDAO<T> {\\n\\n boolean create(T entity) throws SQLException;\\n T read(int id) throws SQLException;\\n boolean update(T entity) throws SQLException;\\n boolean delete(T entity) throws SQLException;\\n\\n List<T> getAll(String whereString) throws SQLException;\\n\\n\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"67d38e3abfd6cd18c81e5235f76d0543\",\n \"score\": \"0.59151363\",\n \"text\": \"public interface OpertDAO extends BaseMapper<OpertInfo> {\\n int insertOpertInfo(OpertInfo opertInfo);\\n int CopyOpertInfo(OpertInfo opertInfo);\\n int deleteByRuid(int opertRd);\\n int editByRuid(OpertInfo opertInfo);\\n List<OpertInfo> GetAllOpertInfo();\\n OpertInfo GetOpertInfoByRuid(int argRuid);\\n OpertInfo GetOpertInfoByGuid(String argGuid);\\n\\n //查询操作名称信息--LFZ\\n OpertInfo SelectoptName(String optName);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0375eae1013f67e9d927ab8ca4f19e80\",\n \"score\": \"0.5911904\",\n \"text\": \"public ForbiddenDO selectByIdForUpdate(@Param(\\\"id\\\")String id) throws DataAccessException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4dde2dd73d0da0d3e2bce39a321c09bc\",\n \"score\": \"0.5910565\",\n \"text\": \"public interface CourseTermDAO {\\r\\n\\r\\n /**\\r\\n * Return an Organization object for the id.\\r\\n *\\r\\n * @param id\\r\\n */\\r\\n CourseTermEntity findById(String id);\\r\\n\\r\\n void add(CourseTermEntity instance);\\r\\n\\r\\n void update(CourseTermEntity instance);\\r\\n\\r\\n void remove(CourseTermEntity instance);\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f9d1b4f115f2103b3632e4dec7ec2cd0\",\n \"score\": \"0.5904387\",\n \"text\": \"public interface DataPropertyStatementDao {\\n\\n void deleteDataPropertyStatement(DataPropertyStatement dataPropertyStmt);\\n\\n @Deprecated\\n List getExistingQualifiers(String dataPropertyURI);\\n\\n List<DataPropertyStatement> getDataPropertyStatements(DataProperty dataProperty);\\n\\n List<DataPropertyStatement> getDataPropertyStatements(DataProperty dataProperty, int startIndex, int endIndex);\\n\\n @SuppressWarnings(\\\"unchecked\\\")\\n Collection<DataPropertyStatement> getDataPropertyStatementsForIndividualByDataPropertyURI(Individual entity,String datapropURI);\\n\\n Individual fillExistingDataPropertyStatementsForIndividual(Individual individual/*, boolean allowAnyNameSpace*/);\\n\\n void deleteDataPropertyStatementsForIndividualByDataProperty(String individualURI, String dataPropertyURI);\\n\\n void deleteDataPropertyStatementsForIndividualByDataProperty(Individual individual, DataProperty dataProperty);\\n\\n int insertNewDataPropertyStatement(DataPropertyStatement dataPropertyStatement );\\n\\n List<Literal> getDataPropertyValuesForIndividualByProperty(Individual subject, DataProperty property);\\n\\n List<Literal> getDataPropertyValuesForIndividualByProperty(String subjectUri, String propertyUri);\\n\\n List<Literal> getDataPropertyValuesForIndividualByProperty(Individual subject, DataProperty property, String queryString, Set<String> constructQueryStrings);\\n\\n List<Literal> getDataPropertyValuesForIndividualByProperty(String subjectUri, String propertyUri, String queryString, Set<String> constructQueryStrings);\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"90ae4f0a0270b9a9e31b2983a46adc76\",\n \"score\": \"0.58944464\",\n \"text\": \"public interface AccountTransactionsDAO {\\r\\n\\t/**\\r\\n\\t * This method is used to get the Account-Transaction Details of Common\\r\\n\\t * Wealth Bank from Data-Base\\r\\n\\t * \\r\\n\\t * @return {@link AccountTransactions}\\r\\n\\t */\\r\\n\\tpublic AccountTransactions getAccountTransactionsDetails(String accountTransactionId);\\r\\n\\r\\n\\tpublic int updateAccountTransactionDetails(AccountTransactions accountTransactions);\\r\\n\\r\\n\\tpublic int saveAccountTransactionDetails(AccountTransactions accountTransactions);\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1d246f3f7c61532484918c6aacb0311d\",\n \"score\": \"0.5889003\",\n \"text\": \"public interface BooleanDemo\\r\\n extends OpbActiveDataObject {\\r\\n\\r\\n /**\\r\\n * \\r\\n * Calls the database function get_true.\\r\\n * @throws OpbDataAccessException\\r\\n * If we fail to make the database call.\\r\\n */\\r\\n Boolean getTrue()\\r\\n throws OpbDataAccessException;\\r\\n\\r\\n\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"535ec0dc68c84693e001bbaaa4ac0c6f\",\n \"score\": \"0.58719987\",\n \"text\": \"protected boolean usePropertyBasedAccess () {\\n return false;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"163d190b8f70946694d79b416e2a9b73\",\n \"score\": \"0.5871706\",\n \"text\": \"public interface GenericDAO<T extends DomainObject> {\\r\\n\\r\\n\\t/**\\r\\n\\t * Loads an object from thr database by it's ID\\r\\n\\t * \\r\\n\\t * @param id\\r\\n\\t * The object's ID\\r\\n\\t * @return Object from database or NULL\\r\\n\\t */\\r\\n\\tT load(Long id);\\r\\n\\r\\n\\t/**\\r\\n\\t * Loads all objects of a specific object type from the database\\r\\n\\t * \\r\\n\\t * @return list with all objects\\r\\n\\t */\\r\\n\\tList<T> loadAll();\\r\\n\\r\\n\\t/**\\r\\n\\t * Saves or updates an object in the database\\r\\n\\t * \\r\\n\\t * @param obj\\r\\n\\t * new or updated object\\r\\n\\t */\\r\\n\\tvoid save(T obj);\\r\\n\\r\\n\\t/**\\r\\n\\t * deletes an object from the database\\r\\n\\t * \\r\\n\\t * @param obj\\r\\n\\t * the object to delete\\r\\n\\t */\\r\\n\\tvoid delete(T obj);\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3973b2a481e40c626019b5150c6627ab\",\n \"score\": \"0.5863966\",\n \"text\": \"public interface IBrandDBAccessor extends IBaseDBAccessor<Brand> {\\n boolean isExist(String name);\\n String getBrandName(int id);\\n Boolean isExitModel(int brandId);\\n //获取所有品牌\\n List<Brand> getAll();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d2c623a7164d319fd8d83c2e44bef400\",\n \"score\": \"0.5861745\",\n \"text\": \"public interface IdentifierTypeDublinCoreMappingDAO extends CountableDAO, CrudDAO<IdentifierTypeDublinCoreMapping>{\\r\\n\\t\\r\\n\\t/**\\r\\n\\t * Get the mapping by identifier type id\\r\\n\\t * \\r\\n\\t * @param identifierTypeId\\r\\n\\t * \\r\\n\\t * @return the mapping if found otherwise null\\r\\n\\t */\\r\\n\\tpublic IdentifierTypeDublinCoreMapping get(Long identifierTypeId);\\r\\n\\r\\n\\t\\r\\n\\t/**\\r\\n\\t * Get the mapping by identifier type id and dublin core element id.\\r\\n\\t * \\r\\n\\t * @param identifierTypeId\\r\\n\\t * @param dublinCoreElementId\\r\\n\\t * \\r\\n\\t * @return the mapping if found otherwise null\\r\\n\\t */\\r\\n\\tpublic IdentifierTypeDublinCoreMapping get(Long identifierTypeId, Long dublinCoreElementId);\\r\\n\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5ffd92a2f3e3334e24ed33a8c4dd168a\",\n \"score\": \"0.58513236\",\n \"text\": \"public interface ExcessPremiumDAO {\\r\\n /**\\r\\n * Load all manual excess premium.\\r\\n *\\r\\n * @param inputRecord\\r\\n * @param loadProcessor\\r\\n * @return RecordSet\\r\\n */\\r\\n public RecordSet loadAllExcessPremium(Record inputRecord, RecordLoadProcessor loadProcessor);\\r\\n\\r\\n /**\\r\\n * Get column name and label for specific column.\\r\\n *\\r\\n * @param inputRecord\\r\\n * @return Record\\r\\n */\\r\\n public Record getExcessPremiumColumn(Record inputRecord);\\r\\n\\r\\n /**\\r\\n * Save all manual excess premium.\\r\\n *\\r\\n * @param inputRecords\\r\\n */\\r\\n public void saveAllExcessPremium(RecordSet inputRecords);\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aed977ba4c4b20c15d379b6c26af4455\",\n \"score\": \"0.5848015\",\n \"text\": \"public interface DoctorDAO {\\n List<Doctor> getAllDoctors();\\n\\n void addDoctor(Doctor doctor);\\n\\n Doctor getDoctor(int id);\\n\\n void updateDoctor(Doctor doctor);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ce97b34cee6e4733384d5154ab39d20c\",\n \"score\": \"0.5845349\",\n \"text\": \"public interface GetDataFromDB {\\n void getData(Boolean status,Object data);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6f3a32f2b5db30340311f123490aa79a\",\n \"score\": \"0.58414006\",\n \"text\": \"public interface CustomerDAO {\\n public void addOne(customer c);\\n public customer getOne(int id);\\n public void clearAll();\\n public customer[] getList();\\n public void delete(customer c);\\n public void update(customer c);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e61dd1e1ec2c8356ee094b4e5aa33b70\",\n \"score\": \"0.5833239\",\n \"text\": \"public interface DataListItem {\\n\\n public long getId();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"77cbe67a6b6bcb217a12288310f61795\",\n \"score\": \"0.5825074\",\n \"text\": \"public interface CrudDataManager<T, PK extends Serializable> {\\n\\n\\t/**\\n\\t * Creates the.\\n\\t *\\n\\t * @param t\\n\\t * the t\\n\\t * @return the t\\n\\t */\\n\\tT create(T t);\\n\\n\\t/**\\n\\t * Read.\\n\\t *\\n\\t * @param id\\n\\t * the id\\n\\t * @return the t\\n\\t */\\n\\tT read(PK id);\\n\\n\\t/**\\n\\t * Update.\\n\\t *\\n\\t * @param t\\n\\t * the t\\n\\t * @return the t\\n\\t */\\n\\tT update(T t);\\n\\n\\t/**\\n\\t * Delete.\\n\\t *\\n\\t * @param t\\n\\t * the t\\n\\t */\\n\\tvoid delete(T t);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a83bcf81bdffdbdfdd15b895e81404b2\",\n \"score\": \"0.5820425\",\n \"text\": \"public ForbiddenDO selectById(@Param(\\\"id\\\")String id) throws DataAccessException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b309aef22d85dd1e50aa78a6c763fc55\",\n \"score\": \"0.5813416\",\n \"text\": \"public interface DataTp_client {\\n\\n public boolean updateTp_client(Tp_client tp_clien);\\n\\n public Tp_client findOneTp_client(int sortId);\\n\\n public List<Tp_client> findAllTp_client();\\n\\n public boolean deletTp_client(int sortId);\\n\\n public boolean addTp_client(Tp_client Tp_client);\\n \\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4b6b2797d2de3a28dac8d6f3884f845a\",\n \"score\": \"0.58110785\",\n \"text\": \"public interface DecryDataService {\\n public void save(DecryData decryData);\\n public void delete(Integer id);\\n public DecryData findByID(Integer id);\\n public List<DecryData> findAll();\\n public Page<DecryData> findAll(int pageNo, int pageSize);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0bb5fc1575895259ead9e7fa57573527\",\n \"score\": \"0.58077836\",\n \"text\": \"public interface ReadOnlyAddressBook {\\n\\n UniqueTagList getUniqueTagList();\\n\\n UniqueTaskList getUniqueTaskList();\\n\\n /**\\n * Returns an unmodifiable view of tasks list\\n */\\n List<ReadOnlyTask> getTaskList();\\n\\n /**\\n * Returns an unmodifiable view of tags list\\n */\\n List<Tag> getTagList();\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c15a7b5eff20df701338637e8bf85ac2\",\n \"score\": \"0.5807065\",\n \"text\": \"public interface CustomerRepository {\\n\\n /**\\n * Retrieves all <code>Customer</code>s from the data store.\\n *\\n * @return a <code>Collection</code> of <code>Customer</code>s.\\n */\\n Collection<Customer> findAll() throws DataAccessException;\\n\\n /**\\n * Retrieves a <code>Customer</code> from the data store by id.\\n *\\n * @param id the id to search for.\\n * @return the <code>Customer</code> if found.\\n */\\n\\tCustomer findById(int id) throws DataAccessException;\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e28c4b96276861bfed78032c1acf71df\",\n \"score\": \"0.5802578\",\n \"text\": \"public interface PersonDao {\\n\\n /**\\n * Retrieves all of the person records.\\n *\\n * @return list of person records\\n */\\n List<Person> listPeople();\\n\\n /**\\n * Creates a new person record.\\n *\\n * @param person the values to save\\n * @return the new person ID\\n */\\n Integer createPerson(Person person);\\n\\n /**\\n * Retrieves a person record by ID.\\n *\\n * @param id the person ID\\n * @return the person record\\n */\\n Person readPerson(Integer id);\\n\\n /**\\n * Updates an existing person record.\\n *\\n * @param person the new values to save\\n */\\n void updatePerson(Person person);\\n\\n /**\\n * Deletes a person record by ID.\\n *\\n * @param id the person ID\\n */\\n void deletePerson(Integer id);\\n\\n /**\\n * Retrieve all contacts for a Client\\n *\\n * @param clientId Identifier or the client associated\\n * @return List of all Person contacts for a specified Client\\n */\\n List<Person> getByClientId(Integer clientId);\\n\\n /**\\n * Set the client ID for this person.\\n *\\n * // TODO: Allow client controller to update associated persons\\n * @param person Person the client is being set on\\n * @param clientId Client to assign for the associated person\\n */\\n void setClientId(Person person, Integer clientId);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ba414cc11abb553b6eae2ec1abcb63ca\",\n \"score\": \"0.57936424\",\n \"text\": \"public interface GoodsDao {\\n\\n public int add(Goods good) throws SQLException;\\n\\n public List<Goods> get() throws SQLException;\\n\\n public Goods getById(int id) throws SQLException;\\n\\n public void update(Goods newGood) throws SQLException;\\n\\n public void remove(Goods good) throws SQLException;\\n\\n public void remove(int id) throws SQLException;\\n\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"988687d5bdec75da41932fe72d1fdf3c\",\n \"score\": \"0.57911724\",\n \"text\": \"public interface TDSDao {\\r\\n\\tTdsMaster getById(int id);\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5db6538a76863ccc00cc09643b74d1a4\",\n \"score\": \"0.57902205\",\n \"text\": \"public interface AnimalDAO {\\r\\n\\r\\n\\t/**\\r\\n\\t * Used to retrieve a list of all Animals \\r\\n\\t * @return\\r\\n\\t */\\r\\n\\tList<Animal> getAllAnimals();\\r\\n\\r\\n\\t/**\\r\\n\\t * Used to persist the animal to the datastore\\r\\n\\t * @param animalToSave\\r\\n\\t */\\r\\n\\tvoid saveAnimal(Animal animalToSave) throws Exception;\\r\\n\\r\\n\\t\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a6f2d3588eeedc12e69f3d327b77d7f\",\n \"score\": \"0.57878083\",\n \"text\": \"public interface OthersDao {\\n Others insert(Others item);\\n\\n List<Others> query(Others item);\\n\\n void update(Others item);\\n\\n void delete(Others item);\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"188c951fb3a082222cfe04923068c961\",\n \"score\": \"0.5786577\",\n \"text\": \"public interface PedagogicalPlanPersistenceDAO extends SCYBaseDAO {\\r\\n\\r\\n public List<PedagogicalPlanTemplate> getPedagogicalPlanTemplates();\\r\\n\\r\\n PedagogicalPlan createPedagogicalPlan(PedagogicalPlanTemplate template);\\r\\n\\r\\n PedagogicalPlan getPedagogicalPlanByName(String name);\\r\\n\\r\\n public List<Scenario> getCompatibleScenarios(Mission mission);\\r\\n\\r\\n public List<Mission> getCompatibleMissions(Scenario scenario);\\r\\n\\r\\n public PedagogicalPlan getPedagogicalPlan(Mission mission, Scenario scenario);\\r\\n\\r\\n public List<PedagogicalPlan> getPedagogicalPlans();\\r\\n\\r\\n public PedagogicalPlan getPedagogicalPlan(String id);\\r\\n\\r\\n public List<LearningActivitySpace> getLearningActivitySpaces(PedagogicalPlan pedagogicalPlan);\\r\\n\\r\\n public void addAnchorEloToPedagogicalPlan(PedagogicalPlan pedagogicalPlan, AnchorELO anchorELO);\\r\\n\\r\\n public List getAnchorELOs(PedagogicalPlan pedagogicalPlan);\\r\\n\\r\\n PedagogicalPlan getOrCreatePedagogicalPlanFromURI(String missionURI);\\r\\n\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f0ca40495fe3e7cf4cfdb46e3c68447f\",\n \"score\": \"0.5785295\",\n \"text\": \"public interface CrudResource<D extends IBaseDto<Id>, Id extends Serializable>\\n extends ReadOnlyResource<D, Id> {\\n\\n Id save(D t) throws BaseVaselineClientException;\\n\\n void update(D t) throws BaseVaselineClientException;\\n\\n void delete(D id) throws BaseVaselineClientException;\\n\\n void deleteById(Id id) throws BaseVaselineClientException;\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"65922b7d7a3647e21eaefdc0f2e8bfd5\",\n \"score\": \"0.57837546\",\n \"text\": \"public interface CrudGeneralDao<K, T extends SuperEntity> {\\n void delete(T t);\\n\\n void update(T t);\\n\\n void insert(T t);\\n\\n List<T> select(K key);\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b779c99a98ae8933b8e40287a49d9dcc\",\n \"score\": \"0.5782457\",\n \"text\": \"public interface DAO<T> {\\n\\t/**\\n\\t * update a row in the database.\\n\\t * @param objectToUpdate the object to update\\n\\t * @throws SQLException an exception from the database\\n\\t */\\n\\tvoid update(T objectToUpdate) throws SQLException;\\n\\t/**\\n\\t * create a row in the database.\\n\\t * @param objectToCreate the object to create\\n\\t * @throws SQLException an exception from the database\\n\\t */\\n\\tvoid create(T objectToCreate) throws SQLException;\\n\\t/**\\n\\t * @return all the rows in the database\\n\\t * @throws SQLException an exception from the database\\n\\t */\\n\\tList<T> getAll() throws SQLException;\\n\\t/**\\n\\t * @param id the primary key of the row in the database\\n\\t * @return the row of the database\\n\\t * @throws SQLException an exception from the database\\n\\t */\\n\\tT get(int id) throws SQLException;\\n\\t/**\\n\\t * delete a row from the database.\\n\\t * @param objectToDelete the object to delete\\n\\t * @throws SQLException an exception from the database\\n\\t */\\n\\tvoid delete(T objectToDelete) throws SQLException;\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7e0d264ae573739e3838bd2fad95563a\",\n \"score\": \"0.57816786\",\n \"text\": \"public interface IBaseDao<T extends Object, PK extends Serializable> {\\n public T get(Class<T> entityClass);\\n\\n public void getApi();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c3676977e07218020c7001736a362c8a\",\n \"score\": \"0.57806885\",\n \"text\": \"public interface Project_paketDao {\\n List getList(Map<String,String> param);\\n boolean add(Project_paket project_paket);\\n boolean edit(Project_paket project_paket);\\n Object getDetail(int id);\\n Project_paket getDetailLite(int id);\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"161a14b7a755f010ce7ec30da2ade460\",\n \"score\": \"0.5770826\",\n \"text\": \"public interface DataObject extends Serializable, Cloneable {\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e71f7cb92b3edfda9013bb471c42085d\",\n \"score\": \"0.57706475\",\n \"text\": \"public interface CargoDAO {\\n public void addCargo(Cargo cargo)throws SQLException;\\n public Cargo getCargo(Long id)throws SQLException;\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"baa9103205345a5047536b789f9797e5\",\n \"score\": \"0.57649404\",\n \"text\": \"public interface TestDAO\\n{\\n\\tpublic List<TestModel> getData();\\n\\t\\n\\tpublic int update(String key, String value);\\n\\t\\n\\tpublic int insert(String key, String value);\\n\\t\\n\\tpublic int delete(String key);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7f265663b7beb659b0485d9ed71134bd\",\n \"score\": \"0.57591563\",\n \"text\": \"public interface ReadOnlyAddressBook {\\n\\n /**\\n * Returns an unmodifiable view of the customers list.\\n * This list will not contain any duplicate customers.\\n */\\n ObservableList<Customer> getCustomerList();\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f3123a3ef0f64b423947bb524f45d096\",\n \"score\": \"0.575699\",\n \"text\": \"public interface TodoDataSource {\\n List<Todo> findAll();\\n Todo findById(long id);\\n int insert(String title, boolean isChecked);\\n boolean delete(long id);\\n void checked(long id, boolean isChecked);\\n void update(long id, String title);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a72435ba0e28d4aa585dc24c66e852a5\",\n \"score\": \"0.5752907\",\n \"text\": \"public interface UsersDAO {\\r\\n\\r\\n UserDataSet get(long id) throws SQLException;\\r\\n\\r\\n UserDataSet getByName(String name) throws SQLException;\\r\\n\\r\\n void add(UserDataSet dataSet) throws SQLException;\\r\\n\\r\\n void delete(long id) throws SQLException;\\r\\n\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"52c14f60494302b4bc5f5e21f046e5ed\",\n \"score\": \"0.57518387\",\n \"text\": \"public interface IPatientDAO extends IDAO<Patient>{\\n List<Patient> getAll() throws DAOException;\\n Patient getById(int patientId)throws DAOException;\\n Patient getByName(String name)throws DAOException, NotFoundException;\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9a13dac0286a96cfdc75d51d803b5976\",\n \"score\": \"0.5750209\",\n \"text\": \"public interface GenericDAO<T, PK extends Serializable> {\\n\\n /** Persist the newInstance object into database */\\n PK create(T newInstance);\\n\\n /** Retrieve an object that was previously saved in the database\\n * under the given primary key (id).\\n */\\n T read(PK id);\\n\\n /** Save changes made to a persistent object. */\\n void update(T transientObject);\\n\\n /** Remove an object from persistent storage in the database */\\n void delete(T persistentObject);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"331fae989625b66c7d2d73afc240755c\",\n \"score\": \"0.57436764\",\n \"text\": \"public interface DataBridge {\\n\\t/**\\n\\t * Retrieves the customer object which matches the given id from the database.\\n\\t * @param id\\n\\t * @return\\n\\t */\\n\\t@NotNull DataResult<Customer> getCustomer(SimpleId id);\\n\\n\\t/**\\n\\t * creates the entity if it doesn't exist, updates it otherwise\\n\\t * @param customer\\n\\t * @return\\n\\t */\\n\\t@NotNull DataResult<SimpleId> createOrUpdate(Customer customer);\\n\\n\\t/**\\n\\t * Delete the given customer from the database.\\n\\t * @param id\\n\\t * @return\\n\\t */\\n\\t@NotNull DataResult deleteCustomer(SimpleId id);\\n\\n\\t/**\\n\\t * returns customer ids for each customer that is considered \\\"similar\\\" to the given customer.\\n\\t * @param customerId\\n\\t * @return\\n\\t */\\n\\t@NotNull DataResult<SimpleId> findSimilarCustomers(SimpleId customerId);\\n\\n\\t/**\\n\\t * Will destroy all data in the database and recreate necessary tables.\\n\\t */\\n\\t@NotNull DataResult initialize();\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c06e0373373f27f3349c46b0b1f4d964\",\n \"score\": \"0.5743487\",\n \"text\": \"public interface IToDoListDAO {\\n\\n\\t/**\\n\\t * Get a list from specified table.\\n\\t * \\n\\t * @return A list representing the object(s) of specified table.\\n\\t * @param clazz\\n\\t * The table we want to extract from.\\n\\t * @throws DataAccessLayerException,\\n\\t * ConnectionException.\\n\\t */\\n\\tList<?> getAll(Class<?> clazz) throws DataAccessLayerException, ConnectionException;\\n\\n\\t/**\\n\\t * Get list from specified table by specific query.\\n\\t * \\n\\t * @return A list representing object(s) selected by the query.\\n\\t * @param clazz\\n\\t * The table we want to extract from.\\n\\t * @param hql\\n\\t * The query.\\n\\t * @throws DataAccessLayerException,\\n\\t * ConnectionException.\\n\\t */\\n\\tList<?> getByQuery(Class<?> clazz, String hql) throws DataAccessLayerException, ConnectionException;\\n\\n\\t/**\\n\\t * Get list from specified table by specific field and value.\\n\\t * \\n\\t * @return A list representing object(s) selected by the field and value.\\n\\t * @param clazz\\n\\t * The table we want to extract from.\\n\\t * @param field\\n\\t * The field.\\n\\t * @param value\\n\\t * The value of the field.\\n\\t * @throws DataAccessLayerException,\\n\\t * ConnectionException.\\n\\t */\\n\\tList<?> getByField(Class<?> clazz, String field, String value) throws DataAccessLayerException, ConnectionException;\\n\\n\\t/**\\n\\t * Add object to his matching table.\\n\\t * \\n\\t * @param obj\\n\\t * The object we want to add.\\n\\t * @throws DataAccessLayerException,\\n\\t * ConnectionException.\\n\\t */\\n\\tvoid save(Object obj) throws DataAccessLayerException, ConnectionException;\\n\\n\\t/**\\n\\t * Update object by finding the object in his matching table and replace it\\n\\t * with the new object. it find it by Id.\\n\\t * \\n\\t * @param obj\\n\\t * The object we want to Update.\\n\\t * @throws DataAccessLayerException,\\n\\t * ConnectionException.\\n\\t */\\n\\tvoid update(Object obj) throws DataAccessLayerException, ConnectionException;\\n\\n\\t/**\\n\\t * delete object by Id. first find it in his matching table, and then delete\\n\\t * it.\\n\\t * \\n\\t * @param clazz\\n\\t * The table we want to delete from.\\n\\t * @param id\\n\\t * The id of the object we want to delete.\\n\\t * @throws DataAccessLayerException,\\n\\t * ConnectionException.\\n\\t */\\n\\tvoid delete(Class<?> clazz, int id) throws DataAccessLayerException, ConnectionException;\\n\\n\\t/**\\n\\t * delete specific object from his matching table.\\n\\t * \\n\\t * @param obj\\n\\t * The object we want to delete.\\n\\t * @throws DataAccessLayerException,\\n\\t * ConnectionException.\\n\\t */\\n\\tvoid delete(Object obj) throws DataAccessLayerException, ConnectionException;\\n\\n\\t/**\\n\\t * Get Object from specified table by id.\\n\\t * \\n\\t * @return An Object representing object selected by his id.\\n\\t * @param clazz\\n\\t * The table we want to extract from.\\n\\t * @param id\\n\\t * The id of the object.\\n\\t * @throws DataAccessLayerException,\\n\\t * ConnectionException.\\n\\t */\\n\\tObject getById(Class<?> clazz, int id) throws DataAccessLayerException, ConnectionException;\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"af0af88aa3f3f2ded2614744732e7532\",\n \"score\": \"0.57403487\",\n \"text\": \"public interface iDAO<T> {\\r\\n\\r\\n\\t/**\\r\\n\\t * Recupera un objeto.\\r\\n\\t *\\r\\n\\t * @return\\r\\n\\t */\\r\\n\\tpublic T get();\\r\\n\\r\\n\\t/**\\r\\n\\t * Salva el elemento.\\r\\n\\t *\\r\\n\\t * @param elemento\\r\\n\\t */\\r\\n\\tpublic void save(T elemento);\\r\\n\\r\\n\\t/**\\r\\n\\t * Recupera una lista.\\r\\n\\t *\\r\\n\\t * @return\\r\\n\\t */\\r\\n\\tpublic ArrayList<T> getLista();\\r\\n\\r\\n\\t/**\\r\\n\\t * Resibe un ArrayList y lo guarda.\\r\\n\\t *\\r\\n\\t * @param lista\\r\\n\\t */\\r\\n\\tpublic void saveList(ArrayList<T> lista);\\r\\n\\r\\n\\t/**\\r\\n\\t * Busca el elemento y retorna true o false.\\r\\n\\t *\\r\\n\\t * @param elemento\\r\\n\\t * @return\\r\\n\\t */\\r\\n\\tpublic boolean buscar(T elemento);\\r\\n\\r\\n\\t/**\\r\\n\\t * Busca el elemento y lo retorna.\\r\\n\\t *\\r\\n\\t * @param elemento\\r\\n\\t * @return\\r\\n\\t */\\r\\n\\tpublic boolean getElemento(T elemento);\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"62a1b724fc195fdeec4bdd979970e9ab\",\n \"score\": \"0.57340425\",\n \"text\": \"public IPerson getPersonDAO();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1c873438ddce0d6fd771e2eee60dffb3\",\n \"score\": \"0.5732776\",\n \"text\": \"public interface StockDAO {\\n public void create(SupplyDetails supplyDetails);\\n public Stock read(Integer id);\\n public void update(Integer id, Float newAvailableQnt);\\n public void delete(Integer id);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"539884568c3b2e3a1f252eb1afaef6ad\",\n \"score\": \"0.57255465\",\n \"text\": \"public interface IUser {\\n List<UserInfo> selectAll();\\n UserInfo selectByPrimaryKey(String userid);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"814ccc7c23a777a2f60c79115d9908f8\",\n \"score\": \"0.57218736\",\n \"text\": \"void getOwnable() throws SQLException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"616299379f6fdfd444cdc193ae22611c\",\n \"score\": \"0.5716377\",\n \"text\": \"public interface MyDao<PK extends Serializable,T> {\\n T query(PK id);\\n List<T> queryList(QueryMap queryMap);\\n void delete(PK id);\\n void update(T entity);\\n void create(T entity);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1ece17cae10c8493d5f56d2d76b36e2\",\n \"score\": \"0.5714922\",\n \"text\": \"public interface CacheDeposit<S>\\r\\n{\\r\\n /**\\r\\n * Special date for use as an expiration time that indicates data expires at\\r\\n * the end of the current session.\\r\\n */\\r\\n Date SESSION_END = new Date();\\r\\n\\r\\n /**\\r\\n * Get the accessors for the objects' properties.\\r\\n *\\r\\n * @return The property accessors.\\r\\n */\\r\\n Collection<? extends PropertyAccessor<? super S, ?>> getAccessors();\\r\\n\\r\\n /**\\r\\n * Get the category of the objects.\\r\\n *\\r\\n * @return The category of the objects.\\r\\n */\\r\\n DataModelCategory getCategory();\\r\\n\\r\\n /**\\r\\n * Get the expiration date for this deposit. Disparate expiration dates may\\r\\n * result in a separate database table for each one, so data for the same\\r\\n * {@link DataModelCategory} should have the same expiration date as much as\\r\\n * possible.\\r\\n *\\r\\n * @return The date after which the objects can be discarded. A value of\\r\\n * {@link #SESSION_END} indicates the models should be discarded at\\r\\n * the end of the current session.\\r\\n */\\r\\n Date getExpirationDate();\\r\\n\\r\\n /**\\r\\n * Get the collection of input objects.\\r\\n *\\r\\n * @return The input objects.\\r\\n */\\r\\n Iterable<? extends S> getInput();\\r\\n\\r\\n /**\\r\\n * Get if these models are <i>critical</i>; i.e., they should not be deleted\\r\\n * from the database by the cleanup routines.\\r\\n *\\r\\n * @return If these are critical data.\\r\\n */\\r\\n boolean isCritical();\\r\\n\\r\\n /**\\r\\n * Get if the models represented by this deposit are new to the database. If\\r\\n * they are new, new ids will be generated for them; otherwise the database\\r\\n * will be queried to get the existing ids. If this returns\\r\\n * <code>true</code> and the keys already exist in the database, or this\\r\\n * returns <code>false</code> and the keys do not exist in the database, an\\r\\n * exception will be generated when\\r\\n * {@link Cache#put(CacheDeposit, CacheModificationListener)} is called.\\r\\n *\\r\\n * @return If the deposit is an insert, <code>true</code>; if the deposit is\\r\\n * an update, <code>false</code>.\\r\\n */\\r\\n boolean isNew();\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2b30ca454eab4f3f1894528d84b66e9b\",\n \"score\": \"0.57147366\",\n \"text\": \"public interface ItemServiceI {\\n ItemCustom selectByPrimaryKey(Integer id);\\n List<ItemCustom> findItemList(ItemsQueryVo itemsQueryVo);\\n int updateByPrimaryKeySelective(Integer id,ItemCustom record);\\n int deleteByPrimaryKeySelective(Integer id);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6712331015d55c79759c68f9a944e2d8\",\n \"score\": \"0.57101667\",\n \"text\": \"public interface ZdarzeniaDAO {\\n public List<Zdarzenia> getZdarzenia();\\n\\n List<Zdarzenia> getZdarzeniaFiltrowana(int idSzukanegoKierowcy);\\n\\n List<Zdarzenia> getZdarzenia(String nrSzukanegoPojazdu);\\n\\n void dodajZdarzenie(Zdarzenia zdarzenie);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac85ac80aeeabb1066f4210618b6bb48\",\n \"score\": \"0.57044053\",\n \"text\": \"public interface BaseDao<T> {\\r\\n\\r\\n public boolean persist(T obj);\\r\\n\\r\\n public boolean merge(T obj);\\r\\n\\r\\n public boolean delete(T obj);\\r\\n\\r\\n public boolean deleteAll(List<T> list);\\r\\n\\r\\n public T get(Class c, Serializable id);\\r\\n\\r\\n public T get(Class c, String column, Serializable value);\\r\\n\\r\\n public List<T> getAll(Class c, String column, Serializable value);\\r\\n\\r\\n public List<T> getAll(Class c);\\r\\n\\r\\n public List<T> getByFinder(Finder finder);\\r\\n\\r\\n public Iterator<T> getIteratorByFinder(Finder finder);\\r\\n\\r\\n public long getCountByFinder(Finder finder);\\r\\n\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"77b77669221c44a91d7032e598adec29\",\n \"score\": \"0.57013804\",\n \"text\": \"public interface IRxDao<T, ID> extends Dao<T, ID> {\\r\\n\\r\\n /**\\r\\n * Retrieves an object associated with a specific ID.\\r\\n *\\r\\n * @param id Identifier that matches a specific row in the database to find and return.\\r\\n * @return The object that has the ID field which equals id or null if no matches.\\r\\n * @throws SQLException on any SQL problems or if more than 1 item with the id are found in the database.\\r\\n */\\r\\n Observable<T> rxQueryForId(final ID id);\\r\\n\\r\\n /**\\r\\n * rxQuery for and return the first item in the object table which matches the PreparedQuery. See\\r\\n * {@link #queryBuilder()} for more information. This can be used to return the object that matches a single unique\\r\\n * column. You should use {@link #queryForId(Object)} if you want to rxQuery for the id column.\\r\\n *\\r\\n * @param preparedQuery rxQuery used to match the objects in the database.\\r\\n * @return The first object that matches the rxQuery.\\r\\n * @throws SQLException on any SQL problems.\\r\\n */\\r\\n Observable<T> rxQueryForFirst(final PreparedQuery<T> preparedQuery);\\r\\n\\r\\n /**\\r\\n * rxQuery for all of the items in the object table. For medium sized or large tables, this may load a lot of objects\\r\\n * into memory so you should consider using the {@link #iterator()} method instead.\\r\\n *\\r\\n * @return A list of all of the objects in the table.\\r\\n * @throws SQLException on any SQL problems.\\r\\n */\\r\\n Observable<List<T>> rxQueryForAll();\\r\\n\\r\\n /**\\r\\n * rxQuery for the items in the object table that match a simple where with a single field = value type of WHERE\\r\\n * clause. This is a convenience method for calling QueryBuilder().where().eq(fieldName, value).query().\\r\\n *\\r\\n * @return A list of the objects in the table that match the fieldName = value;\\r\\n * @throws SQLException on any SQL problems.\\r\\n */\\r\\n Observable<List<T>> rxQueryForEq(final String fieldName, final Object value);\\r\\n\\r\\n /**\\r\\n * rxQuery for the rows in the database that match the object passed in as a parameter. Any fields in the matching\\r\\n * object that are not the default value (null, false, 0, 0.0, etc.) are used as the matching parameters with AND.\\r\\n * If you are worried about SQL quote escaping, you should use {@link #queryForMatchingArgs(Object)}.\\r\\n */\\r\\n Observable<List<T>> rxQueryForMatching(final T matchObj);\\r\\n\\r\\n /**\\r\\n * Same as {@link #queryForMatching(Object)} but this uses {@link SelectArg} and SQL ? arguments. This is slightly\\r\\n * more expensive but you don't have to worry about SQL quote escaping.\\r\\n */\\r\\n Observable<List<T>> rxQueryForMatchingArgs(final T matchObj);\\r\\n\\r\\n /**\\r\\n * rxQuery for the rows in the database that matches all of the field to value entries from the map passed in. If you\\r\\n * are worried about SQL quote escaping, you should use {@link #queryForFieldValuesArgs(Map)}.\\r\\n */\\r\\n Observable<List<T>> rxQueryForFieldValues(final Map<String, Object> fieldValues);\\r\\n\\r\\n /**\\r\\n * Same as {@link #queryForFieldValues(Map)} but this uses {@link SelectArg} and SQL ? arguments. This is slightly\\r\\n * more expensive but you don't have to worry about SQL quote escaping.\\r\\n */\\r\\n Observable<List<T>> rxQueryForFieldValuesArgs(final Map<String, Object> fieldValues);\\r\\n\\r\\n /**\\r\\n * rxQuery for a data item in the table that has the same id as the data parameter.\\r\\n */\\r\\n Observable<T> rxQueryForSameId(final T data);\\r\\n\\r\\n /**\\r\\n * rxQuery for the items in the object table which match the prepared rxQuery. See {@link #queryBuilder} for more\\r\\n * information.\\r\\n * <p>\\r\\n * <p>\\r\\n * <b>NOTE:</b> For medium sized or large tables, this may load a lot of objects into memory so you should consider\\r\\n * using the {@link #iterator(PreparedQuery)} method instead.\\r\\n * </p>\\r\\n *\\r\\n * @param preparedQuery rxQuery used to match the objects in the database.\\r\\n * @return A list of all of the objects in the table that match the rxQuery.\\r\\n * @throws SQLException on any SQL problems.\\r\\n */\\r\\n Observable<List<T>> rxQuery(final PreparedQuery<T> preparedQuery);\\r\\n\\r\\n /**\\r\\n * Create a new row in the database from an object. If the object being created uses\\r\\n * {@link DatabaseField#generatedId()} then the data parameter will be modified and set with the corresponding id\\r\\n * from the database.\\r\\n *\\r\\n * @param data The data item that we are creating in the database.\\r\\n * @return The number of rows updated in the database. This should be 1.\\r\\n */\\r\\n Observable<Integer> rxCreate(final T data);\\r\\n\\r\\n /**\\r\\n * This is a convenience method to creating a data item but only if the ID does not already exist in the table. This\\r\\n * extracts the id from the data parameter, does a {@link #queryForId(Object)} on it, returning the data if it\\r\\n * exists. If it does not exist {@link #create(Object)} will be called with the parameter.\\r\\n *\\r\\n * @return Either the data parameter if it was inserted (now with the ID field set via the create method) or the\\r\\n * data element that existed already in the database.\\r\\n */\\r\\n Observable<T> rxCreateIfNotExists(final T data);\\r\\n\\r\\n /**\\r\\n * This is a convenience method for creating an item in the database if it does not exist. The id is extracted from\\r\\n * the data parameter and a rxQuery-by-id is made on the database. If a row in the database with the same id exists\\r\\n * then all of the columns in the database will be updated from the fields in the data parameter. If the id is null\\r\\n * (or 0 or some other default value) or doesn't exist in the database then the object will be created in the\\r\\n * database. This also means that your data item <i>must</i> have an id field defined.\\r\\n *\\r\\n * @return Status object with the number of rows changed and whether an insert or update was performed.\\r\\n */\\r\\n Observable<CreateOrUpdateStatus> rxCreateOrUpdate(final T data);\\r\\n\\r\\n /**\\r\\n * Store the fields from an object to the database row corresponding to the id from the data parameter. If you have\\r\\n * made changes to an object, this is how you persist those changes to the database. You cannot use this method to\\r\\n * update the id field -- see {@link #updateId} .\\r\\n * <p>\\r\\n * <p>\\r\\n * NOTE: This will not save changes made to foreign objects or to foreign collections.\\r\\n * </p>\\r\\n *\\r\\n * @param data The data item that we are updating in the database.\\r\\n * @return The number of rows updated in the database. This should be 1.\\r\\n * @throws SQLException on any SQL problems.\\r\\n * @throws IllegalArgumentException If there is only an ID field in the object. See the {@link #updateId} method.\\r\\n */\\r\\n Observable<Integer> rxUpdate(final T data);\\r\\n\\r\\n /**\\r\\n * Update the data parameter in the database to change its id to the newId parameter. The data <i>must</i> have its\\r\\n * current (old) id set. If the id field has already changed then it cannot be updated. After the id has been\\r\\n * updated in the database, the id field of the data parameter will also be changed.\\r\\n * <p>\\r\\n * <p>\\r\\n * <b>NOTE:</b> Depending on the database type and the id type, you may be unable to change the id of the field.\\r\\n * </p>\\r\\n *\\r\\n * @param data The data item that we are updating in the database with the current id.\\r\\n * @param newId The <i>new</i> id that you want to update the data with.\\r\\n * @return The number of rows updated in the database. This should be 1.\\r\\n * @throws SQLException on any SQL problems.\\r\\n */\\r\\n Observable<Integer> rxUpdateId(final T data, final ID newId);\\r\\n\\r\\n /**\\r\\n * Update all rows in the table according to the prepared statement parameter. To use this, the\\r\\n * {@link UpdateBuilder} must have set-columns applied to it using the\\r\\n * {@link UpdateBuilder#updateColumnValue(String, Object)} or\\r\\n * {@link UpdateBuilder#updateColumnExpression(String, String)} methods.\\r\\n *\\r\\n * @param preparedUpdate A prepared statement to match database rows to be rxDeleted and define the columns to update.\\r\\n * @return The number of rows updated in the database.\\r\\n * @throws SQLException on any SQL problems.\\r\\n * @throws IllegalArgumentException If there is only an ID field in the object. See the {@link #updateId} method.\\r\\n */\\r\\n Observable<Integer> rxUpdate(final PreparedUpdate<T> preparedUpdate);\\r\\n\\r\\n /**\\r\\n * Does a rxQuery for the data parameter's id and copies in each of the field values from the database to refresh the\\r\\n * data parameter. Any local object changes to persisted fields will be overwritten. If the database has been\\r\\n * updated this brings your local object up to date.\\r\\n *\\r\\n * @param data The data item that we are refreshing with fields from the database.\\r\\n * @return The number of rows found in the database that correspond to the data id. This should be 1.\\r\\n * @throws SQLException on any SQL problems or if the data item is not found in the table or if more than 1 item is found\\r\\n * with data's id.\\r\\n */\\r\\n Observable<Integer> rxRefresh(final T data);\\r\\n\\r\\n /**\\r\\n * Delete the database row corresponding to the id from the data parameter.\\r\\n *\\r\\n * @param data The data item that we are deleting from the database.\\r\\n * @return The number of rows updated in the database. This should be 1.\\r\\n * @throws SQLException on any SQL problems.\\r\\n */\\r\\n Observable<Integer> rxDelete(final T data);\\r\\n\\r\\n /**\\r\\n * Delete an object from the database that has an id.\\r\\n *\\r\\n * @param id The id of the item that we are deleting from the database.\\r\\n * @return The number of rows updated in the database. This should be 1.\\r\\n * @throws SQLException on any SQL problems.\\r\\n */\\r\\n Observable<Integer> rxDeleteById(final ID id);\\r\\n\\r\\n /**\\r\\n * Delete a collection of objects from the database using an IN SQL clause. The ids are extracted from the datas\\r\\n * parameter and used to remove the corresponding rows in the database with those ids.\\r\\n *\\r\\n * @param datas A collection of data items to be rxDeleted.\\r\\n * @return The number of rows updated in the database. This should be the size() of the collection.\\r\\n * @throws SQLException on any SQL problems.\\r\\n */\\r\\n Observable<Integer> rxDelete(final Collection<T> datas);\\r\\n\\r\\n /**\\r\\n * Delete the objects that match the collection of ids from the database using an IN SQL clause.\\r\\n *\\r\\n * @param ids A collection of data ids to be rxDeleted.\\r\\n * @return The number of rows updated in the database. This should be the size() of the collection.\\r\\n * @throws SQLException on any SQL problems.\\r\\n */\\r\\n Observable<Integer> rxDeleteIds(final Collection<ID> ids);\\r\\n\\r\\n /**\\r\\n * Delete the objects that match the prepared statement parameter.\\r\\n *\\r\\n * @param preparedDelete A prepared statement to match database rows to be rxDeleted.\\r\\n * @return The number of rows updated in the database.\\r\\n * @throws SQLException on any SQL problems.\\r\\n */\\r\\n Observable<Integer> rxDelete(final PreparedDelete<T> preparedDelete);\\r\\n\\r\\n /**\\r\\n * This satisfies the {@link Iterable} interface for the class and allows you to iterate through the objects in the\\r\\n * table using SQL. You can use code similar to the following:\\r\\n * <p>\\r\\n * <pre>\\r\\n * for (Account account : accountDao) { ... }\\r\\n * </pre>\\r\\n * <p>\\r\\n * <p>\\r\\n * <b>WARNING</b>: because the {@link Iterator#hasNext()}, {@link Iterator#next()}, etc. methods can only throw\\r\\n * {@link RuntimeException}, the code has to wrap any {@link SQLException} with {@link IllegalStateException}. Make\\r\\n * sure to catch {@link IllegalStateException} and look for a {@link SQLException} cause.\\r\\n * </p>\\r\\n * <p>\\r\\n * <p>\\r\\n * <b>WARNING</b>: The underlying results object will only be closed if you page all the way to the end of the\\r\\n * iterator using the for() loop or if you call {@link CloseableIterator#close()} directly. You can also call the\\r\\n * {@link #closeLastIterator()} if you are not iterating across this DAO in multiple threads.\\r\\n * </p>\\r\\n * <p>\\r\\n * <p>\\r\\n * <b>NOTE:</b> With this iterator you can only move forward through the object collection. See the\\r\\n * {@link #iterator(int)} method to create a cursor that can go both directions.\\r\\n * </p>\\r\\n *\\r\\n * @return An iterator of the class that uses SQL to step across the database table.\\r\\n * @throws IllegalStateException When it encounters a SQLException or in other cases.\\r\\n */\\r\\n Observable<CloseableIterator<T>> rxIterator();\\r\\n\\r\\n /**\\r\\n * Same as {@link #iterator()} but while specifying flags for the results. This is necessary with certain database\\r\\n * types. The resultFlags could be something like ResultSet.TYPE_SCROLL_INSENSITIVE or other values.\\r\\n * <p>\\r\\n * <p>\\r\\n * <b>WARNING:</b> Depending on the database type the underlying connection may never be freed -- even if you go all\\r\\n * of the way through the results. It is <i>strongly</i> recommended that you call the\\r\\n * {@link CloseableIterator#close()} method when you are done with the iterator.\\r\\n * </p>\\r\\n */\\r\\n Observable<CloseableIterator<T>> rxIterator(final int resultFlags);\\r\\n\\r\\n /**\\r\\n * Same as {@link #iterator()} but with a prepared rxQuery parameter. See {@link #queryBuilder} for more information.\\r\\n * You use it like the following:\\r\\n * <p>\\r\\n * <pre>\\r\\n * QueryBuilder<Account, String> qb = accountDao.queryBuilder();\\r\\n * ... custom rxQuery builder methods\\r\\n * CloseableIterator<Account> iterator = partialDao.iterator(qb.prepare());\\r\\n * try {\\r\\n * while (iterator.hasNext()) {\\r\\n * Account account = iterator.next();\\r\\n * ...\\r\\n * }\\r\\n * } finish {\\r\\n * iterator.close();\\r\\n * }\\r\\n * </pre>\\r\\n *\\r\\n * @param preparedQuery rxQuery used to iterate across a sub-set of the items in the database.\\r\\n * @return An iterator for T.\\r\\n * @throws SQLException on any SQL problems.\\r\\n */\\r\\n Observable<CloseableIterator<T>> rxIterator(final PreparedQuery<T> preparedQuery);\\r\\n\\r\\n /**\\r\\n * Same as {@link #iterator(PreparedQuery)} but while specifying flags for the results. This is necessary with\\r\\n * certain database types.\\r\\n */\\r\\n Observable<CloseableIterator<T>> rxIterator(final PreparedQuery<T> preparedQuery, final int resultFlags);\\r\\n\\r\\n /**\\r\\n * <p>\\r\\n * This makes a one time use iterable class that can be closed afterwards. The DAO itself is\\r\\n * {@link CloseableWrappedIterable} but multiple threads can each call this to get their own closeable iterable.\\r\\n * This allows you to do something like:\\r\\n * </p>\\r\\n * <p>\\r\\n * <pre>\\r\\n * CloseableWrappedIterable<Foo> wrappedIterable = fooDao.getWrappedIterable();\\r\\n * try {\\r\\n * for (Foo foo : wrappedIterable) {\\r\\n * ...\\r\\n * }\\r\\n * } finally {\\r\\n * wrappedIterable.close();\\r\\n * }\\r\\n * </pre>\\r\\n */\\r\\n Observable<CloseableWrappedIterable<T>> rxGetWrappedIterable();\\r\\n\\r\\n /**\\r\\n * Same as {@link #getWrappedIterable()} but with a prepared rxQuery parameter. See {@link #queryBuilder} or\\r\\n * {@link #iterator(PreparedQuery)} for more information.\\r\\n */\\r\\n Observable<CloseableWrappedIterable<T>> rxGetWrappedIterable(final PreparedQuery<T> preparedQuery);\\r\\n\\r\\n /**\\r\\n * <p>\\r\\n * Similar to the {@link #iterator(PreparedQuery)} except it returns a GenericRawResults object associated with the\\r\\n * SQL select rxQuery argument. Although you should use the {@link #iterator()} for most queries, this method allows\\r\\n * you to do special queries that aren't supported otherwise. Like the above iterator methods, you must call close\\r\\n * on the returned RawResults object once you are done with it. The arguments are optional but can be set with\\r\\n * strings to expand ? type of SQL.\\r\\n * </p>\\r\\n * <p>\\r\\n * <p>\\r\\n * You can use the {@link QueryBuilder#prepareStatementString()} method here if you want to build the rxQuery using\\r\\n * the structure of the QueryBuilder.\\r\\n * </p>\\r\\n * <p>\\r\\n * <pre>\\r\\n * QueryBuilder<Account, Integer> qb = accountDao.queryBuilder();\\r\\n * qb.where().ge("orderCount", 10);\\r\\n * results = accountDao.queryRaw(qb.prepareStatementString());\\r\\n * </pre>\\r\\n * <p>\\r\\n * <p>\\r\\n * If you want to use the QueryBuilder with arguments to the raw rxQuery then you should do something like:\\r\\n * </p>\\r\\n * <p>\\r\\n * <pre>\\r\\n * QueryBuilder<Account, Integer> qb = accountDao.queryBuilder();\\r\\n * // we specify a SelectArg here to generate a ? in the statement string below\\r\\n * qb.where().ge("orderCount", new SelectArg());\\r\\n * // the 10 at the end is an optional argument to fulfill the SelectArg above\\r\\n * results = accountDao.queryRaw(qb.prepareStatementString(), rawRowMapper, 10);\\r\\n * </pre>\\r\\n * <p>\\r\\n * <p>\\r\\n * <b>NOTE:</b> If you are using the {@link QueryBuilder#prepareStatementString()} to build your rxQuery, it may have\\r\\n * added the id column to the selected column list if the Dao object has an id you did not include it in the columns\\r\\n * you selected. So the results might have one more column than you are expecting.\\r\\n * </p>\\r\\n */\\r\\n Observable<GenericRawResults<String[]>> rxQueryRaw(final String query, final String... arguments);\\r\\n\\r\\n /**\\r\\n * Similar to the {@link #queryRaw(String, String...)} but this iterator returns rows that you can map yourself. For\\r\\n * every result that is returned by the database, the {@link RawRowMapper#mapRow(String[], String[])} method is\\r\\n * called so you can convert the result columns into an object to be returned by the iterator. The arguments are\\r\\n * optional but can be set with strings to expand ? type of SQL. For a simple implementation of a raw row mapper,\\r\\n * see {@link #getRawRowMapper()}.\\r\\n */\\r\\n <UO> Observable<GenericRawResults<UO>> rxQueryRaw(final String query, final RawRowMapper<UO> mapper, final String... arguments)\\r\\n ;\\r\\n\\r\\n /**\\r\\n * Similar to the {@link #queryRaw(String, RawRowMapper, String...)} but uses the column-types array to present an\\r\\n * array of object results to the mapper instead of strings. The arguments are optional but can be set with strings\\r\\n * to expand ? type of SQL.\\r\\n */\\r\\n <UO> Observable<GenericRawResults<UO>> rxQueryRaw(final String query, final DataType[] columnTypes, final RawRowObjectMapper<UO> mapper,\\r\\n final String... arguments);\\r\\n\\r\\n /**\\r\\n * Similar to the {@link #queryRaw(String, String...)} but instead of an array of String results being returned by\\r\\n * the iterator, this uses the column-types parameter to return an array of Objects instead. The arguments are\\r\\n * optional but can be set with strings to expand ? type of SQL.\\r\\n */\\r\\n Observable<GenericRawResults<Object[]>> rxQueryRaw(final String query, final DataType[] columnTypes, final String... arguments)\\r\\n ;\\r\\n\\r\\n /**\\r\\n * Perform a raw rxQuery that returns a single value (usually an aggregate function like MAX or COUNT). If the rxQuery\\r\\n * does not return a single long value then it will throw a SQLException.\\r\\n */\\r\\n Observable<Long> rxQueryRawValue(final String query, final String... arguments);\\r\\n\\r\\n /**\\r\\n * Run a raw rxExecute SQL statement to the database. The arguments are optional but can be set with strings to expand\\r\\n * ? type of SQL. If you have no arguments, you may want to call {@link #executeRawNoArgs(String)}.\\r\\n *\\r\\n * @return number of rows affected.\\r\\n */\\r\\n Observable<Integer> rxExecuteRaw(final String statement, final String... arguments);\\r\\n\\r\\n /**\\r\\n * Run a raw rxExecute SQL statement on the database without any arguments. This may use a different mechanism to\\r\\n * rxExecute the rxQuery depending on the database backend.\\r\\n *\\r\\n * @return number of rows affected.\\r\\n */\\r\\n Observable<Integer> rxExecuteRawNoArgs(final String statement);\\r\\n\\r\\n /**\\r\\n * Run a raw update SQL statement to the database. The statement must be an SQL INSERT, UPDATE or DELETE\\r\\n * statement.The arguments are optional but can be set with strings to expand ? type of SQL.\\r\\n *\\r\\n * @return number of rows affected.\\r\\n */\\r\\n Observable<Integer> rxUpdateRaw(final String statement, final String... arguments);\\r\\n\\r\\n /**\\r\\n * Call the call-able that will perform a number of batch tasks. This is for performance when you want to run a\\r\\n * number of database operations at once -- maybe loading data from a file. This will turn off what databases call\\r\\n * \\\"auto-commit\\\" mode, run the call-able, and then re-enable \\\"auto-commit\\\". If auto-commit is not supported then a\\r\\n * transaction will be used instead.\\r\\n * <p>\\r\\n * <p>\\r\\n * <b>NOTE:</b> If neither auto-commit nor transactions are supported by the database type then this may just call\\r\\n * the callable. Also, \\\"commit()\\\" is <i>not</i> called on the connection at all. If \\\"auto-commit\\\" is disabled then\\r\\n * this will leave it off and nothing will have been persisted.\\r\\n * </p>\\r\\n * <p>\\r\\n * <p>\\r\\n * <b>NOTE:</b> Depending on your underlying database implementation and whether or not you are working with a\\r\\n * single database connection, this may synchronize internally to ensure that there are not race-conditions around\\r\\n * the transactions on the single connection. Android (for example) will synchronize. Also, you may also need to\\r\\n * synchronize calls to here and calls to {@link #setAutoCommit(DatabaseConnection, boolean)}.\\r\\n * </p>\\r\\n */\\r\\n <CT> Observable<CT> rxCallBatchTasks(final Callable<CT> callable) throws Exception;\\r\\n\\r\\n /**\\r\\n * Return true if the two parameters are equal. This checks each of the fields defined in the database to see if\\r\\n * they are equal. Useful for testing and debugging.\\r\\n *\\r\\n * @param data1 One of the data items that we are checking for equality.\\r\\n * @param data2 The other data item that we are checking for equality.\\r\\n */\\r\\n Observable<Boolean> rxObjectsEqual(final T data1, final T data2);\\r\\n\\r\\n /**\\r\\n * Returns the ID from the data parameter passed in. This is used by some of the internal queries to be able to\\r\\n * search by id.\\r\\n */\\r\\n Observable<ID> rxExtractId(final T data);\\r\\n\\r\\n /**\\r\\n * Returns the class of the DAO. This is used by internal rxQuery operators.\\r\\n */\\r\\n Observable<Class<T>> rxGetDataClass();\\r\\n\\r\\n /**\\r\\n * Returns the class of the DAO. This is used by internal rxQuery operators.\\r\\n */\\r\\n Observable<FieldType> rxFindForeignFieldType(final Class<?> clazz);\\r\\n\\r\\n /**\\r\\n * Returns true if we can call update on this class. This is used most likely by folks who are extending the base\\r\\n * dao classes.\\r\\n */\\r\\n Observable<Boolean> rxIsUpdatable();\\r\\n\\r\\n /**\\r\\n * Returns true if the table already exists otherwise false.\\r\\n */\\r\\n Observable<Boolean> rxIsTableExists();\\r\\n\\r\\n /**\\r\\n * Returns the number of rows in the table associated with the data class. Depending on the size of the table and\\r\\n * the database type, this may be expensive and take a while.\\r\\n */\\r\\n Observable<Long> rxCountOf();\\r\\n\\r\\n /**\\r\\n * Returns the number of rows in the table associated with the prepared rxQuery passed in. Depending on the size of\\r\\n * the table and the database type, this may be expensive and take a while.\\r\\n * <p>\\r\\n * <p>\\r\\n * <b>NOTE:</b> If the rxQuery was prepared with the {@link QueryBuilder} then you should have called the\\r\\n * {@link QueryBuilder#setCountOf(boolean)} with true before you prepared the rxQuery. You may instead want to use\\r\\n * {@link QueryBuilder#countOf()} which makes it all easier.\\r\\n * </p>\\r\\n */\\r\\n Observable<Long> rxCountOf(final PreparedQuery<T> preparedQuery);\\r\\n\\r\\n /**\\r\\n * Like {@link #assignEmptyForeignCollection(Object, String)} but it returns the empty collection that you assign to\\r\\n * the appropriate field.\\r\\n * <p>\\r\\n * <p>\\r\\n * <b>NOTE:</b> May be deprecated in the future.\\r\\n * </p>\\r\\n */\\r\\n <FT> Observable<ForeignCollection<FT>> rxGetEmptyForeignCollection(final String fieldName);\\r\\n\\r\\n /**\\r\\n * Returns the current object-cache being used by the DAO or null if none.\\r\\n */\\r\\n Observable<ObjectCache> rxGetObjectCache();\\r\\n\\r\\n /**\\r\\n * Return the latest row from the database results from a rxQuery to select * (star).\\r\\n */\\r\\n Observable<T> rxMapSelectStarRow(final DatabaseResults results);\\r\\n\\r\\n /**\\r\\n * Return a row mapper that is suitable for mapping results from a rxQuery to select * (star).\\r\\n */\\r\\n Observable<GenericRowMapper<T>> rxGetSelectStarRowMapper();\\r\\n\\r\\n /**\\r\\n * Return a row mapper that is suitable for use with {@link #queryRaw(String, RawRowMapper, String...)}. This is a\\r\\n * bit experimental at this time. It most likely will _not_ work with all databases since the string output for each\\r\\n * data type is hard to forecast. Please provide feedback.\\r\\n */\\r\\n Observable<RawRowMapper<T>> rxGetRawRowMapper();\\r\\n\\r\\n /**\\r\\n * Returns true if an object exists that matches this ID otherwise false.\\r\\n */\\r\\n Observable<Boolean> rxIdExists(final ID id);\\r\\n\\r\\n /**\\r\\n * <p>\\r\\n * <b>WARNING:</b> This method is for advanced users only. It is only to support the\\r\\n * {@link #setAutoCommit(DatabaseConnection, boolean)} and other methods below. Chances are you should be using the\\r\\n * {@link #callBatchTasks(Callable)} instead of this method unless you know what you are doing.\\r\\n * </p>\\r\\n * <p>\\r\\n * <p>\\r\\n * This allocates a connection for this specific thread that will be used in all other DAO operations. The thread\\r\\n * <i>must</i> call {@link #endThreadConnection(DatabaseConnection)} once it is done with the connection. It is\\r\\n * highly recommended that a\\r\\n * <code>try { conn = dao.startThreadConnection(); ... } finally { dao.endThreadConnection(conn); }</code> type of\\r\\n * pattern be used here to ensure you do not leak connections.\\r\\n * </p>\\r\\n */\\r\\n Observable<DatabaseConnection> rxStartThreadConnection();\\r\\n\\r\\n /**\\r\\n * Return true if the database connection returned by the {@link #startThreadConnection()} is in auto-commit mode\\r\\n * otherwise false. This may not be supported by all database types.\\r\\n */\\r\\n Observable<Boolean> rxIsAutoCommit(final DatabaseConnection connection);\\r\\n\\r\\n /**\\r\\n * Return the associated ConnectionSource or null if none set on the DAO yet.\\r\\n */\\r\\n Observable<ConnectionSource> rxGetConnectionSource();\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ee82c8ffde8ddb97a920c6511dd39d84\",\n \"score\": \"0.56991524\",\n \"text\": \"public T get(String id) throws DaoManagerException{\\n\\t\\treturn super.getForAccess(id);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1f944564de5a28ede95c48d4de91a313\",\n \"score\": \"0.56942797\",\n \"text\": \"public interface JdbcDirectorDao {\\r\\n\\t\\r\\n\\t \\r\\n Collection<Director> findByLastName(String lastName) throws DataAccessException;\\r\\n\\r\\n Director findById(int id) throws DataAccessException;\\r\\n\\r\\n void save(Director Director) throws DataAccessException;\\r\\n void save(Set<Director> directors) throws DataAccessException;\\r\\n \\r\\n\\tCollection<Director> findAll() throws DataAccessException;\\r\\n\\t\\r\\n\\tvoid delete(Director Director) throws DataAccessException;\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f673a2a9557cbb3c1e7cbefb539599c9\",\n \"score\": \"0.5693178\",\n \"text\": \"public interface ReadOnlyFinanceAccount {\\n\\n /**\\n * Returns an unmodifiable view of the persons list.\\n * This list will not contain any duplicate persons.\\n */\\n ObservableList<FinanceRecord> getFinanceList();\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"77cca1e7f9abc5b45b51f096dea0376c\",\n \"score\": \"0.56883\",\n \"text\": \"public interface ItemDao {\\n /**\\n * @param pageNumber Page number\\n * @param itemsCountOnPage how many records on page\\n * @return Set with all stored items\\n */\\n public Set<Item> allItems(int pageNumber,\\n int itemsCountOnPage);\\n\\n /**\\n * @param id unique number of items\\n * @return Set of transfer objects\\n */\\n public Item findItemById(Integer id);\\n\\n /**\\n * @param title field to find\\n * @return transfer object with this id\\n */\\n public Set<Item> findItemsByTitle(String title);\\n\\n /**\\n * @param description field to find\\n * @return Set of transfer objects\\n */\\n public Set<Item> findItemsByDescription(String description);\\n\\n /**\\n * @param to Transfer Object to add in store\\n * @return id from store or -1 if not added\\n */\\n public int insertItem(Item to);\\n\\n /**\\n * @param id in store to delete\\n * @return true if deleting complete\\n */\\n public boolean deleteItem(Integer id);\\n\\n /**\\n * @param pageNumber Page number\\n * @param itemsCountOnPage how many records on page\\n * @param columnForOrderSpaceSortDirection array with column names and order direction separated by space\\n * Example: {\\\"UID DESC\\\", \\\"TITLE\\\"}\\n * @param filter value for filtering\\n * @param filterColumn column for adding filter\\n * @param category\\n * @return Set transfer objects with this parameters\\n */\\n public List<FullInfo> getFullInfoItems(int pageNumber, int itemsCountOnPage, String[] columnForOrderSpaceSortDirection, String filter, String filterColumn, Integer category);\\n\\n /**\\n * @param pageNumber Page number\\n * @param itemsCountOnPage how many records on page\\n * @param columnForOrderSpaceSortDirection array with column names and order direction separated by space\\n * Example: {\\\"UID DESC\\\", \\\"TITLE\\\"}\\n * @param filterMap search parameters\\n * @param category\\n * @return Set transfer objects with this parameters\\n */\\n public List<FullInfo> getAdvancedInfoItems(int pageNumber, int itemsCountOnPage, String[] columnForOrderSpaceSortDirection, Map<String, Object> filterMap, Integer category);\\n\\n\\n /**\\n * @param pageNumber Page number\\n * @param itemsCountOnPage how many records on page\\n * @param userId user id to show all items for this user\\n * @return Set transfer objects with this parameters\\n */\\n public List<FullInfo> getFullInfoMyItems(int pageNumber, int itemsCountOnPage, Integer userId);\\n\\n /**\\n * @return Sold item <itemId, userId>\\n */\\n public Map<Integer, Integer> getSoldItems();\\n\\n /**\\n * @param itemId item for checking\\n * @return true if already send message\\n */\\n public boolean isInformationMessageSend(Integer itemId);\\n\\n /**\\n * @param itemId set item complete biding\\n * @return status to add mark\\n */\\n public boolean markAsSendedMessage(Integer itemId);\\n\\n /**\\n * @param itemId Item\\n * @return Information about biding to this lot\\n */\\n public List<History> getHistory(Integer itemId);\\n\\n /**\\n * @return category information\\n */\\n public List<Category> getCategory();\\n\\n /**\\n * @param to\\n * @return status true - success\\n */\\n public boolean updateItem(Item to);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad4cdb79f42de0fb0266e678c1a270ff\",\n \"score\": \"0.5687735\",\n \"text\": \"public interface LowLevelDB {\\n byte[] get(byte[] key);\\n\\n void set(byte[] key,byte[] value);\\n\\n void delete(byte[] key);\\n\\n LowLevelDBIterator iterator();\\n\\n// def batchWrite(action: LowLevelWriteBatch => Unit)\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"582907c76294c2ffe6e44d65e728ffc3\",\n \"score\": \"0.56839556\",\n \"text\": \"public interface UserDataSource {\\n List<User> getUsers();\\n\\n User getUserById(int id);\\n\\n User createUser(User user);\\n\\n void updateUser(User user);\\n\\n void deleteUser(int id);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3137d80e5c9d286d5da1aff7d747dc35\",\n \"score\": \"0.568293\",\n \"text\": \"public interface BaseDao<T> {\\n /**\\n * 保存对象\\n */\\n void save(T object);\\n /**\\n * 保存对象\\n */\\n T merge(T object);\\n /**\\n * 删除对象\\n */\\n void delete(T object);\\n /**\\n * 更新对象\\n */\\n void update(T object);\\n /**\\n * 从session中移除\\n */\\n void evict(T object);\\n /**\\n * 根据ID查找\\n *\\n * @param id\\n * Serializable\\n * @return T\\n */\\n T findById(Serializable id);\\n /**\\n * 保存或更新(如果对象已存在)\\n *\\n * @param object\\n * T\\n */\\n void saveOrUpdate(T object);\\n /**\\n * 批量删除\\n *\\n * @param objects\\n * Collection\\n */\\n void deleteBatch(Collection<T> objects);\\n /**\\n * 批量保存或更新\\n *\\n * @param objects\\n * Collection\\n */\\n //void saveOrUpdateAll(Collection<T> objects);\\n /**\\n * 查找所有对象\\n *\\n * @param pageParam\\n * PageBean 分页查找参数，开始页，与最大记录条数\\n * @return Collection\\n */\\n List<T> findAll(PageBean... pageParam);\\n /**\\n * 查找所有对象\\n *\\n * @param orderByProperties\\n * OrderBy[] 需要排序的属性名，\\n * @param pageParam\\n * Integer[] 分页查找参数，开始页，与最大记录条数\\n * @return Collection\\n */\\n List<T> findAll(List<OrderCondition> orderByProperties, PageBean... pageParam);\\n /**\\n * 查找和所给对象相似的所有对象，相似表示所给对象中非空的属性值相同的对象\\n *\\n * @param object\\n * T\\n * @param pageParam\\n * Integer[] 分页查找参数，开始页，与最大记录条数\\n * @return Collection\\n */\\n List<T> findByExample(T object, PageBean... pageParam);\\n /**\\n * 根据属性查找，属性对应的值可以支持含有like条件，以及是sqlcondition下的条件对象。\\n *\\n * @param propertyName\\n * String\\n * @param value\\n * Object\\n * @param pageParam\\n * Integer[] 分页查找参数，开始页，与最大记录条数\\n * @return Collection\\n */\\n List<T> findByProperty(String propertyName, Object value, PageBean... pageParam);\\n /**\\n * 根据单个属性查找,并指定排序列，属性对应的值可以支持含有like，以及是sqlcondition下的对象。\\n *\\n * @param propertyName\\n * String\\n * @param value\\n * Object\\n * @param orderByProperties\\n * OrderBy[] 需要排序的属性名，\\n * @param pageParam\\n * Integer[] 分页查找参数，开始页，与最大记录条数\\n * @return Collection\\n */\\n List<T> findByProperty(String propertyName, Object value, List<OrderCondition> orderByProperties, PageBean... pageParam);\\n /**\\n * 根据属性查找,并指定排序列，属性对应的值可以支持含有like条件，以及是sqlcondition下的对象。\\n *\\n * @param properties\\n * Map\\n * @param orderByProperties\\n * OrderBy[] 需要排序的属性名，\\n * @param pageParam\\n * Integer[] 分页查找参数，开始页，与最大记录条数\\n * @return Collection\\n */\\n List<T> findByProperties(ConditionSet properties, List<? extends OrderCondition> orderByProperties, PageBean... pageParam);\\n /**\\n * 根据属性查找,并指定排序列，属性对应的值可以支持含有like条件，以及是sqlcondition下的对象。\\n *\\n * @param properties\\n * Map\\n * @param orderByProperty OrderBy 需要排序的属性名\\n * @param pageParam\\n * Integer[] 分页查找参数，开始页，与最大记录条数\\n * @return Collection\\n */\\n List<T> findByProperties(ConditionSet properties, OrderCondition orderByProperty, PageBean... pageParam);\\n /**\\n * 根据属性查找，属性对应的值可以支持含有like条件，如果是sqlcondition.Like的类型。\\n *\\n * @param conditionSet\\n * Map\\n * @param pageParam\\n * Integer[] 分页查找参数，开始页，与最大记录条数\\n * @return Collection\\n */\\n List<T> findByProperties(ConditionSet conditionSet, PageBean... pageParam);\\n /**\\n * 根据属性查找,并指定排序列，属性对应的值可以支持含有like条件，以及是sqlcondition下的对象。\\n *\\n * @param properties\\n * Map\\n * @return Collection\\n */\\n T findUniqueByProperties(ConditionSet properties);\\n /**\\n * 根据属性查询记录个数\\n * @param properties\\n * @return\\n */\\n Long findCountByProperties(ConditionSet properties);\\n /**\\n * 执行hql语句查询，如果上面的那些方法都不可用的话，如果不带totalCountHql，本方法不计算总记录数\\n *\\n * @param hql\\n * String\\n *\\n * @param pageParam\\n * Integer[]\\n * @return Collection\\n */\\n List queryByHQL(String hql, String totalCountHql, PageBean... pageParam);\\n /**\\n * 执行hql语句查询，如果上面的那些方法都不可用的话\\n *\\n * @param hql\\n * String\\n * @param queryParam\\n * Integer[]\\n * @return Collection\\n */\\n List queryByHQL(String hql, Map<String, Object> queryParam);\\n /**\\n * 跟与hql和参数查询,如果不带totalCountHql，本方法不计算总记录数\\n * @param hql\\n * @param queryParam\\n * @param pageParam\\n * @return\\n */\\n List queryByHQL(final String hql, final Map<String, Object> queryParam, String totalCountHql, final PageBean... pageParam);\\n /**\\n * 执行hql语句查询;hql语句中变量为?;根据动态参数顺序传入查询参数\\n */\\n List queryByHqlWithParams(final String hql, final Object... values);\\n /**\\n * 提供sql和参数查询,如果不带totalCountSql，本方法不计算总记录数\\n * @param sql\\n * @param queryParam\\n * @param totalCountHql\\n * @param entities(实体映射)\\n * @param pageParam\\n * @return\\n */\\n public List queryBySQL(final String sql, final Map<String, Object> queryParam, final String totalCountHql, final Map<String, Class<?>> entities, final PageBean... pageParam);\\n /**\\n * 提供sql和参数查询,如果不带totalCountSql，本方法不计算总记录数\\n * @author lichang\\n * @param sql\\n * @param queryParam\\n * @param totalCountSql\\n * @param pageParam\\n * @return\\n */\\n List queryBySQL(final String sql, final Map<String, Object> queryParam, String totalCountSql, final PageBean... pageParam);\\n /**\\n * 执行更新的hql\\n *\\n * @param hql\\n * String\\n */\\n Integer executeUpdateHql(String hql);\\n Integer executeUpdateHql(String hql, Map<String, Object> params);\\n Integer executeUpdateSql(final String sql, final Map<String, Object> params);\\n /**\\n * 根据属性值，批量删除\\n * @param propertyName\\n * @param value\\n * @return\\n */\\n public Integer deleteByProperty(String propertyName, Object value);\\n /**\\n * 根据属性的值批量删除\\n *\\n * @param props\\n * @return\\n */\\n Integer deleteByProperties(Map<String, Object> props);\\n /**\\n * 根据特殊的条件查询\\n * @param properties 属性名称数组，属性名称支持段式：\\\"属性名OPERATOR属性值\\\",OPERATOR可以为\\\"=,>,<\\\",字符串类型可以带%查询，表示匹配任意\\n * @param orderBy 按属性排序， 属性名：0|1，0降序，1升序\\n * @param pageBean\\n */\\n List<T> findByCommonCondition(String[] properties, String[] orderBy, PageBean... pageBean);\\n List<T> findByCriteria(DetachedCriteria criteria);\\n List<T> findByCriteriaWithPages(final DetachedCriteria criteria, final PageBean... pageBean);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1d664d066d4ae42d4d2c7d7f0d641b23\",\n \"score\": \"0.56785697\",\n \"text\": \"public interface CarDAO {\\n\\t\\n\\tpublic void addCar(Car p);\\n public List<Car> listCars();\\n public void deleteCar(Car p);\\n public void updateCar(Car p);\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"448fbe7cf7a9c854208cb8ba60d2d0e0\",\n \"score\": \"0.5669189\",\n \"text\": \"public interface IdentityDAOInterface {\\n\\n\\t\\n\\t/**\\n\\t * Read all the identity details created in the Identity system \\n\\t * @return list of identity\\n\\t */\\n\\tList<Identity> readAll();\\n\\n\\t/**\\n\\t * search particular identity with email adress\\n\\t * @param identity -Identity object\\n\\t * @return list of identities\\n\\t */\\n\\tList<Identity> search(Identity identity);\\n\\t\\n\\t/**\\n\\t * create an identity to the Identity system\\n\\t * @param identity - Identity object\\n\\t */\\n\\tvoid write(Identity identity);\\n\\t\\n\\t/**\\n\\t * Update existing identity details\\n\\t * @param identity -Identity object\\n\\t */\\n\\tvoid update(Identity identity);\\n\\t\\n\\t/**\\n\\t *Delete an existing identity from the system\\n\\t * @param identity -Identity object\\n\\t */\\n\\tvoid delete(Identity identity);\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1994dd797143b3b0eb0ee7475890d862\",\n \"score\": \"0.5665774\",\n \"text\": \"public interface StudentDAO {\\r\\n\\r\\n void saveStudent(Student student);\\r\\n\\r\\n Student getStudentById(int id);\\r\\n\\r\\n void updateStudentProfile(Student student);\\r\\n\\r\\n\\r\\n\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b46bd600ce3a69123033e57e235444a6\",\n \"score\": \"0.5664512\",\n \"text\": \"public DataAccessor getDataAccessor() {\\n\\t\\treturn dataAccessor;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aeca8fe94d46d4931be5bc79d7263fe2\",\n \"score\": \"0.5657987\",\n \"text\": \"public interface GenericCrud<T extends Identifiable<PK>, PK> {\\n\\t/**\\n\\t * Stores the specified object if absent\\n\\t * @param t Object to store in persistence\\n\\t * @return The stored object if succeeded else returns null\\n\\t */\\n\\tT create(T t);\\n\\n\\t/**\\n\\t * Retrieves the object with the given id if present\\n\\t * @param id The object id to retrieve\\n\\t * @return The object with the given id if present, else returns null\\n\\t */\\n\\tT read(PK id);\\n\\n\\t/**\\n\\t * Updates the given object in storage if present\\n\\t * @param t The object to update\\n\\t * @return The updated object or nulls if absent\\n\\t */\\n\\tT update(T t);\\n\\n\\t/**\\n\\t * Deletes the given object in storage\\n\\t * @param t The object to delete\\n\\t */\\n\\tvoid delete(T t);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f5949c50b594eebc81fd283f0f817fc\",\n \"score\": \"0.5655245\",\n \"text\": \"interface AccessDelegate {\\n\\n long create(EntityManager entityManager, String eagerProperty1, String lazyProperty1, String lazyProperty2);\\n\\n void updateAllProperties(EntityManager entityManager, long entityId, String eagerProperty1, String lazyProperty1,\\n String lazyProperty2);\\n\\n void updateAllLazyProperties(EntityManager entityManager, long entityId, String lazyProperty1, String lazyProperty2);\\n\\n void updateOneEagerProperty(EntityManager entityManager, long entityId, String eagerProperty1);\\n\\n void updateOneLazyProperty(EntityManager entityManager, long entityId, String lazyProperty1);\\n\\n void testLazyLoadingAndPersistedValues(EntityManager entityManager, long entityId,\\n String expectedEagerProperty1,\\n String expectedLazyProperty1,\\n String expectedLazyProperty2);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"54b86e1af0e14eb260aefb3855c0d7b0\",\n \"score\": \"0.5655089\",\n \"text\": \"public interface CustomerGradeDao {\\n /**\\n * get list of all grades.\\n * @return list of grades.\\n */\\n List<CustomerGrade> getAllCustomerGrades();\\n\\n /**\\n * update customer grade.\\n * @param customerGrade customerGrade\\n */\\n void updateCustomerGrade(CustomerGrade customerGrade);\\n\\n /**\\n * get customer grade by code.\\n * @param gradeCode gradeCode\\n * @return customer grade.\\n */\\n CustomerGrade getCustomerGradeByCode(String gradeCode);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e331e72efb6dffe5081f071d0653499c\",\n \"score\": \"0.56521034\",\n \"text\": \"public interface DummyObjectDao {\\n public List<Map<String, Object>> getObjectFromDbById(String sqlQuery, String...params);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7ec7238a64b4ac71bce6a07ac624ef22\",\n \"score\": \"0.5652028\",\n \"text\": \"public interface IMediumDAO {\\n\\n List<Medium> listAll() throws MovieException;\\n Medium get(Medium medium) throws MovieException;\\n void add(Medium medium) throws MovieException;\\n void remove(Medium medium) throws MovieException;\\n void change(Medium medium) throws MovieException;\\n void close() throws MovieException;\\n //public boolean isUsed(Medium medium) throws MovieException;\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7208be8160a969a429e3fee46732a141\",\n \"score\": \"0.5651333\",\n \"text\": \"public T load(ID id) throws DataAccessException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"75fd750520ffecdb207c2f0625e32a85\",\n \"score\": \"0.5647465\",\n \"text\": \"public interface ReadOnlyTrackedDataList {\\n\\n /**\\n * Returns an unmodifiable view of a list of tracked parameters.\\n * This list will not contain any duplicate parameter.\\n */\\n ObservableList<Parameter> getTrackedDataList();\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7758389ac19015074b570fec802e2514\",\n \"score\": \"0.56444323\",\n \"text\": \"public interface SerieRepository extends ReadWriteBaseRepository<Serie, Long> {\\r\\n\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9b377b13639619b41f4c10a17c62d30e\",\n \"score\": \"0.56419533\",\n \"text\": \"public interface OibAppPropertyDao {\\n\\n List<OibAppProperty> getPropertiesByName(String name);\\n\\n OibAppProperty getPropertyByName(String name);\\n\\n void updateProperty(OibAppProperty property);\\n\\n void deletePropertyById(int id);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"96d10d68f4040f8e0e32a328e7063080\",\n \"score\": \"0.5636229\",\n \"text\": \"public interface DataSourceService {\\n\\n /**\\n * @return the Template used to render the data source\\n */\\n public Template getTemplate();\\n\\n /**\\n * Create the properties used in the template.\\n * \\n * @param parameters\\n * parameters used for this request\\n * @return the list of DataSourceProperty instances to use in the template\\n */\\n public List<DataSourceProperty> getDataSourceProperties(Map<String, Object> parameters);\\n\\n /**\\n * Execute a query request and return the result as a json string.\\n * \\n * @param parameters\\n * the parameters often coming from the HTTP request\\n * @return the json result string\\n */\\n public String fetch(Map<String, String> parameters);\\n\\n /**\\n * Execute a delete action. The id of the deleted record is present in the parameters.\\n * \\n * @param parameters\\n * the parameters often coming from the HTTP request\\n * @return the result message as a json string\\n */\\n public String remove(Map<String, String> parameters);\\n\\n /**\\n * Execute an insert action.\\n * \\n * @param parameters\\n * the parameters often coming from the HTTP request\\n * @param content\\n * , the request content, is assumed to be a json string\\n * @return the result message as a json string\\n */\\n public String add(Map<String, String> parameters, String content);\\n\\n /**\\n * Execute an update action.\\n * \\n * @param parameters\\n * the parameters often coming from the HTTP request\\n * @param content\\n * , the request content, is assumed to be a json string\\n * @return the result message as a json string\\n */\\n public String update(Map<String, String> parameters, String content);\\n\\n /**\\n * The name of this service, in the default implementation this is the entityname of the\\n * {@link Entity} to get/insert/update/delete.\\n * \\n * @return the name of the service\\n */\\n public String getName();\\n\\n public void setName(String name);\\n\\n public String getDataUrl();\\n\\n public void setDataUrl(String dataUrl);\\n\\n public Entity getEntity();\\n\\n public void setEntity(Entity entity);\\n\\n /**\\n * This method allows to implement a security access to a DataSource when it is used fetch()\\n * method. It can be overridden in specific DataSources to apply a particular security mechanism.\\n *\\n * @throws OBSecurityException\\n * is thrown if current role does not have access.\\n */\\n public void checkFetchDatasourceAccess(Map<String, String> parameter) throws OBSecurityException;\\n\\n /**\\n * This method allows to implement a security access to a DataSource when it is used add(), update()\\n * or remove() methods. It can be overridden in specific DataSources to apply a particular\\n * security mechanism.\\n *\\n * @throws OBSecurityException\\n * is thrown if current role does not have access.\\n */\\n public void checkEditDatasourceAccess(Map<String, String> parameter) throws OBSecurityException;\\n\\n public String getWhereClause();\\n\\n public void setWhereClause(String whereClause);\\n\\n /**\\n * This method allows to implement a security access to a DataSource when it is used add(),\\n * update() or remove() methods. It can be overridden in specific DataSources to apply a\\n * particular security mechanism.\\n * \\n * @return the data source read from the database. Note: can be null for data sources which are\\n * created in-memory on request.\\n */\\n public DataSource getDataSource();\\n\\n /**\\n * Passes in the data source read from the database. Is the place to initialize the data in the\\n * service class\\n * \\n * @param dataSource\\n * the data source read from the database.\\n */\\n public void setDataSource(DataSource dataSource);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"802cb5f10821ea98a780cd1e8b0270b1\",\n \"score\": \"0.5635615\",\n \"text\": \"public interface ICollectionDAO {\\n int save(Map<String,Object> map);\\n\\n int check(Map<String,Object> map);\\n\\n int delete(Map<String,Object> map);\\n\\n List<MajorPojo> queryPage(Map<String,Object> map);\\n\\n int count(Map<String,Object> map);\\n}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992496,"cells":{"query_id":{"kind":"string","value":"25197b4cf814864ecd440f23b9149cb3"},"query":{"kind":"string","value":"TODO Autogenerated method stub"},"positive_passages":{"kind":"list like","value":[{"docid":"97d85b582e0f97db9a0a3103cbdda28b","score":"0.0","text":"public static void main(String[] args) {\n\t\tTreeNode root=new TreeNode(1);\n\t\troot.left=new TreeNode(2);\n\t\troot.right=new TreeNode(3);\n\t\troot.left.left=new TreeNode(4);\n\t\troot.right.right=new TreeNode(5);\n\t\tTreeNode root1=null;\n\t\tSystem.out.println(sumNumbers(root1));\n\t\t\n\t}","title":""}],"string":"[\n {\n \"docid\": \"97d85b582e0f97db9a0a3103cbdda28b\",\n \"score\": \"0.0\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tTreeNode root=new TreeNode(1);\\n\\t\\troot.left=new TreeNode(2);\\n\\t\\troot.right=new TreeNode(3);\\n\\t\\troot.left.left=new TreeNode(4);\\n\\t\\troot.right.right=new TreeNode(5);\\n\\t\\tTreeNode root1=null;\\n\\t\\tSystem.out.println(sumNumbers(root1));\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"ef1b6c3f597a66c59960d73eadee6f25","score":"0.6904447","text":"private void apparence()\n\t\t{\n\n\t\t}","title":""},{"docid":"4862518dedb9e169c3cc620e5ebe04c5","score":"0.6696056","text":"@Override\r\n\tpublic void atura() {\n\t\t\r\n\t}","title":""},{"docid":"651ef6275f1a33ed6582a1599cab78d2","score":"0.66211534","text":"@Override\n\tpublic void bekle() {\n\t\t\n\t}","title":""},{"docid":"0b5b11f4251ace8b3d0f5ead186f7beb","score":"0.65677965","text":"@Override\n\tpublic void comer() {\n\t\t\n\t}","title":""},{"docid":"0b5b11f4251ace8b3d0f5ead186f7beb","score":"0.65677965","text":"@Override\n\tpublic void comer() {\n\t\t\n\t}","title":""},{"docid":"c56ced5e9768caa7a88a0e86dc1d02eb","score":"0.6557507","text":"@Override\n\tpublic void pintate() {\n\t\t\n\t}","title":""},{"docid":"534c466f09845319b9edaf959a891c09","score":"0.6546559","text":"@Override\r\n\tpublic void debriyaj() {\n\t\t\r\n\t}","title":""},{"docid":"c2f383f280f298416bf45e72c374ecfa","score":"0.64127725","text":"@Override\r\n\tpublic void anularFact() {\n\t\t\r\n\t}","title":""},{"docid":"b62a7c8e0bb1090171742c543bf4b253","score":"0.63762105","text":"@Override\n\tpublic void entrenar() {\n\t\t\n\t}","title":""},{"docid":"b4d7f671f527efc3e048a88ada2fe816","score":"0.6362821","text":"@Override\n\tpublic void 말한다() {\n\t\t\n\t}","title":""},{"docid":"b4d7f671f527efc3e048a88ada2fe816","score":"0.6362821","text":"@Override\n\tpublic void 말한다() {\n\t\t\n\t}","title":""},{"docid":"b4d7f671f527efc3e048a88ada2fe816","score":"0.6362821","text":"@Override\n\tpublic void 말한다() {\n\t\t\n\t}","title":""},{"docid":"b4d7f671f527efc3e048a88ada2fe816","score":"0.6362821","text":"@Override\n\tpublic void 말한다() {\n\t\t\n\t}","title":""},{"docid":"df89b968807fade64158ed6c7401bc7a","score":"0.62550694","text":"@Override\r\n\tpublic void afficher() {\n\t\t\r\n\t}","title":""},{"docid":"761f5db0b07474bff2090f23a6693efb","score":"0.6211042","text":"private void Prodto() {\n\n\t}","title":""},{"docid":"74578344538dd194907dffc0406cacac","score":"0.6166714","text":"@Override\n public void suicide() {\n \n }","title":""},{"docid":"10ead2e988bf977cb8edb2bacf974891","score":"0.61546874","text":"@Override\n\tprotected void init() {\n\t\t\n\t}","title":""},{"docid":"a2392cc71aaf87bc730f13f37ecdb439","score":"0.6153736","text":"private void apparence()\r\n\t\t{\r\n\t\t//Rien\r\n\t\t}","title":""},{"docid":"db51ad8e6f15ad35a767d84e1e1eda68","score":"0.61275035","text":"@Override\n\t\t\tpublic void cry() {\n\t\t\t\t\n\t\t\t}","title":""},{"docid":"23f3a7415a3f7463e8a1124d06cf4cf2","score":"0.609125","text":"@Override\n\tpublic void valide() {\n\t\t\n\t}","title":""},{"docid":"e24a2515146ce17481b567e14f6d3258","score":"0.6075012","text":"public void retrievecart() {\n\t\t\t\r\n\t\t}","title":""},{"docid":"fba36b6a112c0dbc3dd5aa61fe730a40","score":"0.60609394","text":"@Override\n\tpublic void subir() {\n\t\t\n\t}","title":""},{"docid":"5c8e848472fb111129ff96ea7e3eea3d","score":"0.605578","text":"@Override\n public void pintar() {\n \n }","title":""},{"docid":"280c1f1bfe3582788f566eafe40085dd","score":"0.60448366","text":"@Override\n \tpublic void init() {\n \t\t\n \t}","title":""},{"docid":"5f1811a241e41ead4415ec767e77c63d","score":"0.6023245","text":"@Override\n\tprotected void init() {\n\n\t}","title":""},{"docid":"2ba22ff158b6e941041f9460eddd0944","score":"0.5991409","text":"@Override\n public void operation() {\n \n }","title":""},{"docid":"afc2a2ef708681a23da24526386fa543","score":"0.5979341","text":"@Override\r\n\tpublic void demo4() {\n\t\t\r\n\t}","title":""},{"docid":"951638c11e887c3f81bcc83306f4e413","score":"0.5957303","text":"@Override\r\n\tpublic void trunon() {\n\r\n\t}","title":""},{"docid":"03a6fa2a6dc40f30e9f67797ea87ac0e","score":"0.5950196","text":"@Override\n\tvoid generate() {\n\t\t\n\t}","title":""},{"docid":"86b315eabc97abef1ea325b454b16656","score":"0.5934478","text":"@Override\n\tpublic void veneno() {\n\t\t\n\t}","title":""},{"docid":"4f4340003331db95a2feee0084056a02","score":"0.59033096","text":"@Override\n\tprotected void inicializar() {\n\n\t}","title":""},{"docid":"28237d6ae20e1aa35aaca12e05c950c9","score":"0.5902906","text":"@Override\n\tpublic void sacrifier() {\n\t\t\n\t}","title":""},{"docid":"77f859c241fd5e1d997f67c3b890833e","score":"0.5886342","text":"@Override\n\tpublic void dormir() {\n\t\t\n\t}","title":""},{"docid":"c16fc3362f80f1c0559c76bf68be5792","score":"0.58815277","text":"@Override\n\tpublic void affiche() {\n\t\t\n\t}","title":""},{"docid":"a6c80a6456cfc74acaa16a2f9c3063c5","score":"0.5881057","text":"@Override\n\t\n\tprotected void initialize() {\n\t\t\n\t}","title":""},{"docid":"bf75e876384ccbd3516440064d914edb","score":"0.585407","text":"@Override\r\n\t\t\tpublic void process() {\n\t\t\t\t\r\n\t\t\t}","title":""},{"docid":"22f2421f5b9cc11d1699c42857b4dfe9","score":"0.5850562","text":"protected void mo1582st() {\n }","title":""},{"docid":"7d4da85943fb6a6ba61dac3c9ae538b3","score":"0.58336115","text":"@Override\n\tpublic void morir() {\n\t\t\n\t}","title":""},{"docid":"d07c1f5c9d405e36c1ebf9e7e586652e","score":"0.5830177","text":"private Solution() {\n /** Not using this function**/\n }","title":""},{"docid":"fab6f4103beb4667b90da1eb3672a4fa","score":"0.5821835","text":"@Override\n\tprotected void update() {\n\n\t}","title":""},{"docid":"2be71c02c2e214eecbe2c8bd5dfe8cb0","score":"0.58195674","text":"@Override\n\tpublic void fortify() {\n\t\t\n\t}","title":""},{"docid":"4112f041d618773e927eaf69a897467b","score":"0.5817743","text":"@Override\r\n\tpublic void tempup() {\n\t\t\r\n\t}","title":""},{"docid":"d1236089c8974701d0acd37b2cad6d5b","score":"0.5809914","text":"@Override\n\tpublic void init(){\n\t\t\n\t}","title":""},{"docid":"8d9539007d174aa71cae3fdbfe4952c6","score":"0.5801801","text":"@Override \n\tpublic void init() {\n\t}","title":""},{"docid":"5783648f118108797828ca2085091ef9","score":"0.5793788","text":"@Override\n protected void initialize() {\n \n }","title":""},{"docid":"bcd5f0b16beb225527894894dcaf774f","score":"0.5789414","text":"@Override\n\tprotected void update() {\n\t\t\n\t}","title":""},{"docid":"5243b8d363dba36edfd9e64eb96cc9d5","score":"0.57880706","text":"@Override\n public int getStatus() {\n return 0;\n }","title":""},{"docid":"b096eae650ba80789eb6446d859169a3","score":"0.5776792","text":"protected void mo1586sx() {\n }","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"17cb0676e79dae45623dcbdd6cf2af58","score":"0.5773822","text":"@Override\n\tpublic void update() {\n\t\t// TODO Auto-generated method stub\n\n\t}","title":""},{"docid":"849edaa5bbcc7511e16697ad05c01712","score":"0.57732296","text":"@Override\n\tpublic void avanzar() {\n\t\t\n\t}","title":""},{"docid":"6c897821a3b00faa6e582b1c5bd5b3c6","score":"0.57677484","text":"@Override\r\n\tpublic void direksiyon() {\n\t\t\r\n\t}","title":""},{"docid":"518a761521ca9f5cb8a8055b32b72cda","score":"0.57596046","text":"@Override\n\tprotected void initialize() {\n\t\t\n\t}","title":""},{"docid":"81ea0647fff57e17ec5107049b4dbf8b","score":"0.57594514","text":"@Override\n public int size() {\n return 1;\n }","title":""},{"docid":"535ccad74dc29933b6b48fea680ba27c","score":"0.5755988","text":"@Override\r\n\tpublic void operacion() {\n\t\t\r\n\t}","title":""},{"docid":"1985dddb6264adc2fb069a687b25f36b","score":"0.57541007","text":"@Override\n\tpublic void groom() {\n\t\t\n\t}","title":""},{"docid":"33572cd017818797318a53dbacbc00b9","score":"0.57530975","text":"@Override\r\n\t\t\tpublic void initialize() {\n\t\t\t\t\r\n\t\t\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"a8b768dae1b52549249069e4d6a9253f","score":"0.57492036","text":"@Override\n public int getType() {\n return 0;\n }","title":""},{"docid":"b6c53604ad2f38e9cacf958a442de4cf","score":"0.57409","text":"@Override\n\tprotected void initAfterData() {\n\n\t}","title":""},{"docid":"734b1972ec29b58535c294e3962d017d","score":"0.5736822","text":"@Override\n\tpublic void generar() {\n\t\t\n\t}","title":""},{"docid":"4f5334e4c63e1b16e38cf957e8576a25","score":"0.5735921","text":"@Override\n\tpublic void getHaned() {\n\t\t\n\t}","title":""},{"docid":"b143ffd983be4c8f41702b8f934b6f32","score":"0.57337177","text":"@Override\r\n\tpublic void init() {\n\r\n\t}","title":""},{"docid":"b143ffd983be4c8f41702b8f934b6f32","score":"0.57337177","text":"@Override\r\n\tpublic void init() {\n\r\n\t}","title":""},{"docid":"a7ae27b45bb1a02a96ba4232264be825","score":"0.57315516","text":"@Override\n\tpublic void embarcar() {\n\t\t\n\t}","title":""},{"docid":"c6e40448cb261fef3ee1fc3a1f5373f0","score":"0.57304126","text":"@Override\n\tpublic void operation() {\n\t\t\n\t}","title":""},{"docid":"a937c607590931387a357d03c3b0eef4","score":"0.5715831","text":"@Override\n\tprotected void initialize() {\n\n\t}","title":""},{"docid":"a937c607590931387a357d03c3b0eef4","score":"0.5715831","text":"@Override\n\tprotected void initialize() {\n\n\t}","title":""},{"docid":"a937c607590931387a357d03c3b0eef4","score":"0.5715831","text":"@Override\n\tprotected void initialize() {\n\n\t}","title":""},{"docid":"ba3ff1d644c6b502f46e78f3112e984c","score":"0.57151","text":"@Override\r\n\tpublic void toss() \r\n\t{\n\t\t\r\n\t}","title":""},{"docid":"a1a79ff63f3eb784a0134fc70f7de913","score":"0.57141805","text":"@Override\n\tpublic void initdata() {\n\n\t}","title":""},{"docid":"20aa3abef3af4ea8bcf5e834227be04c","score":"0.57137775","text":"@Override\n\tpublic void Pessoa() {\n\t\t\n\t}","title":""},{"docid":"6894ea3aa25d3dee3c3dd8331b9a9cdd","score":"0.57120746","text":"@Override\n\t public int correr() {\n\t return 7;\n\t }","title":""},{"docid":"d7405dbb7f385c28de1f97859172342b","score":"0.5705621","text":"@Override\n\tpublic void affiche() {\n\t}","title":""},{"docid":"f9fa4d6203b441d4a00a824c3219ddb2","score":"0.5704342","text":"@Override\n\tprotected void doOperate() {\n\n\t}","title":""},{"docid":"b2858312446172fa25a799c5367d2043","score":"0.56896037","text":"Smelting(){\r\n\r\n\t\t}","title":""},{"docid":"2d9072b54f55f18557f92b99be58ec2f","score":"0.56886935","text":"@Override\r\n public String toString() {\n\treturn null;\r\n }","title":""},{"docid":"9f7ae565c79188ee275e5778abe03250","score":"0.56881124","text":"@Override\r\n\tprotected void initialize() {\n\r\n\t}","title":""},{"docid":"9f7ae565c79188ee275e5778abe03250","score":"0.56881124","text":"@Override\r\n\tprotected void initialize() {\n\r\n\t}","title":""},{"docid":"af5603f291fb4fc9dd83e46e0602225b","score":"0.56868714","text":"@Override\r\n\tpublic void demo3() {\n\t\t\r\n\t}","title":""},{"docid":"c937f9289f415cfdd7aefc5d621d0867","score":"0.56740177","text":"@Override\n protected void inicializar() {\n }","title":""},{"docid":"e8efac2ee01f452014413fb75d28b3a6","score":"0.5659524","text":"@Override\r\n\tpublic void initState() {\r\n\t\t// TODO Auto-generated method stub\r\n\t\t\r\n\t}","title":""},{"docid":"1857996533d34551ac38dd34ec5213a3","score":"0.56573755","text":"public void koniecReplikacie() {\n\t\t\n\t}","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""}],"string":"[\n {\n \"docid\": \"ef1b6c3f597a66c59960d73eadee6f25\",\n \"score\": \"0.6904447\",\n \"text\": \"private void apparence()\\n\\t\\t{\\n\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4862518dedb9e169c3cc620e5ebe04c5\",\n \"score\": \"0.6696056\",\n \"text\": \"@Override\\r\\n\\tpublic void atura() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"651ef6275f1a33ed6582a1599cab78d2\",\n \"score\": \"0.66211534\",\n \"text\": \"@Override\\n\\tpublic void bekle() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b5b11f4251ace8b3d0f5ead186f7beb\",\n \"score\": \"0.65677965\",\n \"text\": \"@Override\\n\\tpublic void comer() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b5b11f4251ace8b3d0f5ead186f7beb\",\n \"score\": \"0.65677965\",\n \"text\": \"@Override\\n\\tpublic void comer() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c56ced5e9768caa7a88a0e86dc1d02eb\",\n \"score\": \"0.6557507\",\n \"text\": \"@Override\\n\\tpublic void pintate() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"534c466f09845319b9edaf959a891c09\",\n \"score\": \"0.6546559\",\n \"text\": \"@Override\\r\\n\\tpublic void debriyaj() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2f383f280f298416bf45e72c374ecfa\",\n \"score\": \"0.64127725\",\n \"text\": \"@Override\\r\\n\\tpublic void anularFact() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b62a7c8e0bb1090171742c543bf4b253\",\n \"score\": \"0.63762105\",\n \"text\": \"@Override\\n\\tpublic void entrenar() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b4d7f671f527efc3e048a88ada2fe816\",\n \"score\": \"0.6362821\",\n \"text\": \"@Override\\n\\tpublic void 말한다() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b4d7f671f527efc3e048a88ada2fe816\",\n \"score\": \"0.6362821\",\n \"text\": \"@Override\\n\\tpublic void 말한다() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b4d7f671f527efc3e048a88ada2fe816\",\n \"score\": \"0.6362821\",\n \"text\": \"@Override\\n\\tpublic void 말한다() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b4d7f671f527efc3e048a88ada2fe816\",\n \"score\": \"0.6362821\",\n \"text\": \"@Override\\n\\tpublic void 말한다() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"df89b968807fade64158ed6c7401bc7a\",\n \"score\": \"0.62550694\",\n \"text\": \"@Override\\r\\n\\tpublic void afficher() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"761f5db0b07474bff2090f23a6693efb\",\n \"score\": \"0.6211042\",\n \"text\": \"private void Prodto() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74578344538dd194907dffc0406cacac\",\n \"score\": \"0.6166714\",\n \"text\": \"@Override\\n public void suicide() {\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10ead2e988bf977cb8edb2bacf974891\",\n \"score\": \"0.61546874\",\n \"text\": \"@Override\\n\\tprotected void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a2392cc71aaf87bc730f13f37ecdb439\",\n \"score\": \"0.6153736\",\n \"text\": \"private void apparence()\\r\\n\\t\\t{\\r\\n\\t\\t//Rien\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db51ad8e6f15ad35a767d84e1e1eda68\",\n \"score\": \"0.61275035\",\n \"text\": \"@Override\\n\\t\\t\\tpublic void cry() {\\n\\t\\t\\t\\t\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23f3a7415a3f7463e8a1124d06cf4cf2\",\n \"score\": \"0.609125\",\n \"text\": \"@Override\\n\\tpublic void valide() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e24a2515146ce17481b567e14f6d3258\",\n \"score\": \"0.6075012\",\n \"text\": \"public void retrievecart() {\\n\\t\\t\\t\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fba36b6a112c0dbc3dd5aa61fe730a40\",\n \"score\": \"0.60609394\",\n \"text\": \"@Override\\n\\tpublic void subir() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5c8e848472fb111129ff96ea7e3eea3d\",\n \"score\": \"0.605578\",\n \"text\": \"@Override\\n public void pintar() {\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"280c1f1bfe3582788f566eafe40085dd\",\n \"score\": \"0.60448366\",\n \"text\": \"@Override\\n \\tpublic void init() {\\n \\t\\t\\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f1811a241e41ead4415ec767e77c63d\",\n \"score\": \"0.6023245\",\n \"text\": \"@Override\\n\\tprotected void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ba22ff158b6e941041f9460eddd0944\",\n \"score\": \"0.5991409\",\n \"text\": \"@Override\\n public void operation() {\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"afc2a2ef708681a23da24526386fa543\",\n \"score\": \"0.5979341\",\n \"text\": \"@Override\\r\\n\\tpublic void demo4() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"951638c11e887c3f81bcc83306f4e413\",\n \"score\": \"0.5957303\",\n \"text\": \"@Override\\r\\n\\tpublic void trunon() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"03a6fa2a6dc40f30e9f67797ea87ac0e\",\n \"score\": \"0.5950196\",\n \"text\": \"@Override\\n\\tvoid generate() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86b315eabc97abef1ea325b454b16656\",\n \"score\": \"0.5934478\",\n \"text\": \"@Override\\n\\tpublic void veneno() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4f4340003331db95a2feee0084056a02\",\n \"score\": \"0.59033096\",\n \"text\": \"@Override\\n\\tprotected void inicializar() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"28237d6ae20e1aa35aaca12e05c950c9\",\n \"score\": \"0.5902906\",\n \"text\": \"@Override\\n\\tpublic void sacrifier() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"77f859c241fd5e1d997f67c3b890833e\",\n \"score\": \"0.5886342\",\n \"text\": \"@Override\\n\\tpublic void dormir() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c16fc3362f80f1c0559c76bf68be5792\",\n \"score\": \"0.58815277\",\n \"text\": \"@Override\\n\\tpublic void affiche() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a6c80a6456cfc74acaa16a2f9c3063c5\",\n \"score\": \"0.5881057\",\n \"text\": \"@Override\\n\\t\\n\\tprotected void initialize() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bf75e876384ccbd3516440064d914edb\",\n \"score\": \"0.585407\",\n \"text\": \"@Override\\r\\n\\t\\t\\tpublic void process() {\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"22f2421f5b9cc11d1699c42857b4dfe9\",\n \"score\": \"0.5850562\",\n \"text\": \"protected void mo1582st() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7d4da85943fb6a6ba61dac3c9ae538b3\",\n \"score\": \"0.58336115\",\n \"text\": \"@Override\\n\\tpublic void morir() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d07c1f5c9d405e36c1ebf9e7e586652e\",\n \"score\": \"0.5830177\",\n \"text\": \"private Solution() {\\n /** Not using this function**/\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fab6f4103beb4667b90da1eb3672a4fa\",\n \"score\": \"0.5821835\",\n \"text\": \"@Override\\n\\tprotected void update() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2be71c02c2e214eecbe2c8bd5dfe8cb0\",\n \"score\": \"0.58195674\",\n \"text\": \"@Override\\n\\tpublic void fortify() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4112f041d618773e927eaf69a897467b\",\n \"score\": \"0.5817743\",\n \"text\": \"@Override\\r\\n\\tpublic void tempup() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1236089c8974701d0acd37b2cad6d5b\",\n \"score\": \"0.5809914\",\n \"text\": \"@Override\\n\\tpublic void init(){\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8d9539007d174aa71cae3fdbfe4952c6\",\n \"score\": \"0.5801801\",\n \"text\": \"@Override \\n\\tpublic void init() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5783648f118108797828ca2085091ef9\",\n \"score\": \"0.5793788\",\n \"text\": \"@Override\\n protected void initialize() {\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bcd5f0b16beb225527894894dcaf774f\",\n \"score\": \"0.5789414\",\n \"text\": \"@Override\\n\\tprotected void update() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5243b8d363dba36edfd9e64eb96cc9d5\",\n \"score\": \"0.57880706\",\n \"text\": \"@Override\\n public int getStatus() {\\n return 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b096eae650ba80789eb6446d859169a3\",\n \"score\": \"0.5776792\",\n \"text\": \"protected void mo1586sx() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"17cb0676e79dae45623dcbdd6cf2af58\",\n \"score\": \"0.5773822\",\n \"text\": \"@Override\\n\\tpublic void update() {\\n\\t\\t// TODO Auto-generated method stub\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"849edaa5bbcc7511e16697ad05c01712\",\n \"score\": \"0.57732296\",\n \"text\": \"@Override\\n\\tpublic void avanzar() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6c897821a3b00faa6e582b1c5bd5b3c6\",\n \"score\": \"0.57677484\",\n \"text\": \"@Override\\r\\n\\tpublic void direksiyon() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"518a761521ca9f5cb8a8055b32b72cda\",\n \"score\": \"0.57596046\",\n \"text\": \"@Override\\n\\tprotected void initialize() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"81ea0647fff57e17ec5107049b4dbf8b\",\n \"score\": \"0.57594514\",\n \"text\": \"@Override\\n public int size() {\\n return 1;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"535ccad74dc29933b6b48fea680ba27c\",\n \"score\": \"0.5755988\",\n \"text\": \"@Override\\r\\n\\tpublic void operacion() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1985dddb6264adc2fb069a687b25f36b\",\n \"score\": \"0.57541007\",\n \"text\": \"@Override\\n\\tpublic void groom() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"33572cd017818797318a53dbacbc00b9\",\n \"score\": \"0.57530975\",\n \"text\": \"@Override\\r\\n\\t\\t\\tpublic void initialize() {\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a8b768dae1b52549249069e4d6a9253f\",\n \"score\": \"0.57492036\",\n \"text\": \"@Override\\n public int getType() {\\n return 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6c53604ad2f38e9cacf958a442de4cf\",\n \"score\": \"0.57409\",\n \"text\": \"@Override\\n\\tprotected void initAfterData() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"734b1972ec29b58535c294e3962d017d\",\n \"score\": \"0.5736822\",\n \"text\": \"@Override\\n\\tpublic void generar() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4f5334e4c63e1b16e38cf957e8576a25\",\n \"score\": \"0.5735921\",\n \"text\": \"@Override\\n\\tpublic void getHaned() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b143ffd983be4c8f41702b8f934b6f32\",\n \"score\": \"0.57337177\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b143ffd983be4c8f41702b8f934b6f32\",\n \"score\": \"0.57337177\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7ae27b45bb1a02a96ba4232264be825\",\n \"score\": \"0.57315516\",\n \"text\": \"@Override\\n\\tpublic void embarcar() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c6e40448cb261fef3ee1fc3a1f5373f0\",\n \"score\": \"0.57304126\",\n \"text\": \"@Override\\n\\tpublic void operation() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a937c607590931387a357d03c3b0eef4\",\n \"score\": \"0.5715831\",\n \"text\": \"@Override\\n\\tprotected void initialize() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a937c607590931387a357d03c3b0eef4\",\n \"score\": \"0.5715831\",\n \"text\": \"@Override\\n\\tprotected void initialize() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a937c607590931387a357d03c3b0eef4\",\n \"score\": \"0.5715831\",\n \"text\": \"@Override\\n\\tprotected void initialize() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ba3ff1d644c6b502f46e78f3112e984c\",\n \"score\": \"0.57151\",\n \"text\": \"@Override\\r\\n\\tpublic void toss() \\r\\n\\t{\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a1a79ff63f3eb784a0134fc70f7de913\",\n \"score\": \"0.57141805\",\n \"text\": \"@Override\\n\\tpublic void initdata() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"20aa3abef3af4ea8bcf5e834227be04c\",\n \"score\": \"0.57137775\",\n \"text\": \"@Override\\n\\tpublic void Pessoa() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6894ea3aa25d3dee3c3dd8331b9a9cdd\",\n \"score\": \"0.57120746\",\n \"text\": \"@Override\\n\\t public int correr() {\\n\\t return 7;\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d7405dbb7f385c28de1f97859172342b\",\n \"score\": \"0.5705621\",\n \"text\": \"@Override\\n\\tpublic void affiche() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f9fa4d6203b441d4a00a824c3219ddb2\",\n \"score\": \"0.5704342\",\n \"text\": \"@Override\\n\\tprotected void doOperate() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b2858312446172fa25a799c5367d2043\",\n \"score\": \"0.56896037\",\n \"text\": \"Smelting(){\\r\\n\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d9072b54f55f18557f92b99be58ec2f\",\n \"score\": \"0.56886935\",\n \"text\": \"@Override\\r\\n public String toString() {\\n\\treturn null;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f7ae565c79188ee275e5778abe03250\",\n \"score\": \"0.56881124\",\n \"text\": \"@Override\\r\\n\\tprotected void initialize() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f7ae565c79188ee275e5778abe03250\",\n \"score\": \"0.56881124\",\n \"text\": \"@Override\\r\\n\\tprotected void initialize() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"af5603f291fb4fc9dd83e46e0602225b\",\n \"score\": \"0.56868714\",\n \"text\": \"@Override\\r\\n\\tpublic void demo3() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c937f9289f415cfdd7aefc5d621d0867\",\n \"score\": \"0.56740177\",\n \"text\": \"@Override\\n protected void inicializar() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e8efac2ee01f452014413fb75d28b3a6\",\n \"score\": \"0.5659524\",\n \"text\": \"@Override\\r\\n\\tpublic void initState() {\\r\\n\\t\\t// TODO Auto-generated method stub\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1857996533d34551ac38dd34ec5213a3\",\n \"score\": \"0.56573755\",\n \"text\": \"public void koniecReplikacie() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992497,"cells":{"query_id":{"kind":"string","value":"6429230be1fd11661ec8cfb575501226"},"query":{"kind":"string","value":"MOVES ALL OBJECTS IN THE WINDOW"},"positive_passages":{"kind":"list like","value":[{"docid":"8a2c67655d2847f0bf97c19faad5b2c5","score":"0.5977497","text":"public void move()\r\n {\r\n \tone.move();\r\n \tmoveZombies();\r\n \tmoveBullets();\r\n }","title":""}],"string":"[\n {\n \"docid\": \"8a2c67655d2847f0bf97c19faad5b2c5\",\n \"score\": \"0.5977497\",\n \"text\": \"public void move()\\r\\n {\\r\\n \\tone.move();\\r\\n \\tmoveZombies();\\r\\n \\tmoveBullets();\\r\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"d6abfd1977d228fca26574c904ee6aea","score":"0.7046634","text":"public void moveObjects() {\n try {\n if (getEnemies().size() > 0) {\n for (Enemy enemy : getEnemies()) {\n enemy.move();\n }\n }\n } catch (Exception e) {\n System.out.println(\"Enemy ArrayList Error!\");\n }\n try {\n //System.out.println(getObjects().toString());\n for (BoardObject obj : getObjects()) {\n obj.move();\n }\n } catch (Exception e) {\n System.out.println(\"Object ArrayList Error!\");\n }\n //move rocks (handles animations\n\n //ANIMATIONS ARE REPRESENTED AS A NUMBER THAT REPRESENTS THE CURRENT FRAME\n //THE PNGS WILL BE CHANGED LATER\n }","title":""},{"docid":"9ab190bd4c659fba508229473091a42e","score":"0.667853","text":"private void doFrame()\r\n\t{\r\n\t\tfor (Entity entity : entities)\r\n\t\t{\r\n\t\t\tentity.move();\r\n\t\t}\r\n\t}","title":""},{"docid":"36e41a784827a1e5fa60e9c2e4e9301f","score":"0.63472426","text":"public void moveAll(double x, double y)\n {\n for (MapObject mo : allObjects)\n {\n mo.moveTo(x + mo.getX(), y + mo.getY());\n }\n }","title":""},{"docid":"ba5b80e476a5a7f465201216e7c00ef5","score":"0.63268363","text":"private void updateObjectPositions()\r\n\t{\r\n\t\tnemo.updatePos();\r\n\t\t\r\n\t\tfor (CoralObstacle coral: coralDeque)\r\n\t\t\tcoral.updatePos();\r\n\t}","title":""},{"docid":"4d0c30f97fbad3f165c786ef3995dc41","score":"0.6195283","text":"public void Movetoelements(WebDriver driver,WebElement object) \n\t{\n\t\tActions action = new Actions(driver);\n\t\taction.moveToElement(object).build().perform();\n\t\t\n\t}","title":""},{"docid":"c09b112c652f189bcafa16c7714f803f","score":"0.61470324","text":"private void positionObjects() {\n\t/*\tfloat topScreen = windowDimensions.getMaxYPos(5);\n\t\tfloat xBox = windowDimensions.getMaxXPos(-5)+dimensions.get(\"HealthBarBox\").getX()+0.02f;\n\t\tfloat yBox = (topScreen*-1)+dimensions.get(\"HealthBarBox\").getY()+0.02f;\n\t\tfloat xBar = xBox + (float)(dimensions.get(\"HealthBarBox\").getX()/3); \n\t\tfloat yDigit = topScreen - dimensions.get(\"Digit0\").getY()-0.1f;\n\t\tfloat xDigit = windowDimensions.getMaxXPos(5)-(dimensions.get(\"Digit0\").getX()*scoreBoard.getNumDigits())-0.02f;\n\t\thealthBar.setPosition(new Vec3(xBar,yBox,-5));\n\t\thealthBarBox.setPosition(new Vec3(xBox,yBox,-5));\n\t\tscoreBoard.setPosition(new Vec3(xDigit,yDigit,-5));\t\t*/\n\t}","title":""},{"docid":"0d10a0dedce2f6a95de4a163abffba13","score":"0.61260515","text":"@Override\n\tpublic void moveObject()\n\t{\n\n\t}","title":""},{"docid":"a3f05c87a6990d62489bb114f1ec71dd","score":"0.610815","text":"@Override\n\tpublic void iObjs()\n\t{\n\n\t\t// Make sure these are accurate.\n\t\tgame_w = getGameW();\n\t\tgame_h = getGameH();\n\t\t\n\t\t// Compute dimensions.\n\t\tint w = getW();\n\t\tint h = getH();\n\t\t\n\t\t// The object selector list. \t\t\n\t\tgui_list obj_selector = new gui_list(0, 0, w - game_w, h);\n\t\tobj_create(obj_selector);\n\t\t\n\t\t// The options panel\n\t\tgui_window create_options = new gui_window(w - game_w, game_h, game_w, h - game_h);\n\t\t\n\t\tpopulate_option_buttons(create_options);\n\t\t\n\t\tobj_create(create_options);\n\t\t\n\t\tint border_size = SpriteLoader.gui_borderSize;\n\t\t\n\t\t// The Level display screen.\n\t\tlevel = createEditor(w - game_w - 2*border_size, 0, game_w + 2*border_size, game_h + 2*border_size);\n\t\tobj_create(level);\n\t\t\n\t\t// Import the specifications for the object list.\n\t\tEntitySelector selector_spec = getEntitySelector();\n\t\t\n\t\tselector_spec.populate_potential_objects(obj_selector);\n\n\t}","title":""},{"docid":"beb6c54de597f4cf5e3fd60ffb156537","score":"0.6097013","text":"private void processObjects() {\n\t\tautomaticObject.updateWorld();\n\t\tkeyboardObject.updateWorld();\n\t\tmouseObject.updateWorld();\n\t}","title":""},{"docid":"0fd49f50e4a8b737248ab68244de637e","score":"0.6095827","text":"public void moveSkyObjects() {\r\n ArrayList<SkyObject> tempArray;\r\n SkyObject temp;\r\n\r\n for (int hashMapIndex = 0; hashMapIndex < layers.size(); hashMapIndex++) {\r\n for (int arrayIndex = 0; arrayIndex < layers.get(hashMapIndex).size(); arrayIndex++) {\r\n tempArray = layers.get(hashMapIndex);\r\n temp = layers.get(hashMapIndex).get(arrayIndex);\r\n temp.moveBy(temp.velocity.x, temp.velocity.y);\r\n if (temp.getX() > 550) {\r\n layers.get(hashMapIndex).remove(arrayIndex);\r\n } else {\r\n tempArray.set(arrayIndex, temp);\r\n layers.put(hashMapIndex, tempArray);\r\n }\r\n }\r\n }\r\n }","title":""},{"docid":"74ab5d1dc685578edd834212f1ad1d56","score":"0.60439986","text":"public void move(){\n\t}","title":""},{"docid":"cd195b33acc38b2b2527602b8db1da2f","score":"0.59916776","text":"static void update_mdest(Thing obj) {\n for (OriginalMonster mp : Global.mlist) {\n if (mp.getRunPosition().equals(obj.getOPos())) {\n mp.setRunPosition(Global.player._t_pos);\n }\n }\n }","title":""},{"docid":"ec658122a365fe58aa30b2a6e9262ea2","score":"0.5983565","text":"public void setMovables() {\n\n stack.getChildren().clear();\n stack2.getChildren().clear();\n\n for (County c : world.getCounties().values()) {\n int x = c.getCenterX();\n int y = c.getCenterY();\n if(c.getOwner() == null) {\n System.out.println(\"Game: COUNTY HAS NO OWNER \" + c.getName());\n return;\n }\n if(c.getOwner().getLordinfo() == null) {\n System.out.println(\"Game: COUNTY OWNER HAS NO LORD INFO \" + c.getName());\n System.out.println(\" owner name is: \" + c.getOwner().getName());\n return;\n }\n if(c.getOwner().getLordinfo().getColor() == null) {\n System.out.println(\"Game: COUNTY OWNER HAS NO COLOR \" + c.getName());\n return;\n }\n Color circCol = c.getOwner().getLordinfo().getColor();\n\n Circle circ = new Circle(15);\n Circle circ2 = new Circle(5);\n circ2.setFill(circCol);\n\n circCol = Color.web(circCol.toString(), 0.5);\n circ.setFill(circCol);\n\n Pane ownerColor = new Pane();\n ownerColor.setLayoutX(x);\n ownerColor.setLayoutY(y);\n ownerColor.getChildren().addAll(circ, circ2);\n\n stack.getChildren().add(ownerColor);\n\n int addX = 25;\n int addY = 5;\n\n for (Unit u : c.getUnitsAt()) {\n Text text = new Text(String.valueOf(u.getThousands()));\n text.setX(5);\n text.setY(20);\n text.setStyle(\"-fx-font-size: 20px;\");\n text.setBoundsType(TextBoundsType.VISUAL);\n Pane unitPane = new Pane();\n unitPane.setLayoutX(x + addX);\n unitPane.setLayoutY(y + addY);\n\n Rectangle r = new Rectangle(20, 25);\n r.setFill(u.getColor());\n unitPane.getChildren().addAll(r, text);\n\n stack2.getChildren().add(unitPane);\n\n addX += 25;\n\n unitPane.setOnMouseClicked(event -> {\n unitClicked = u;\n selected = true;\n startArmyScreen();\n });\n }\n }\n }","title":""},{"docid":"ec398b904ccef155dade2d2cc218b2f6","score":"0.5970504","text":"public void Move(Vec2 amount)\n {\n Double newX = _position.x + amount.x;\n Double newY = _position.y + amount.y;\n\n //Making sure the game object stays within the screen bounds \n if((newX > 0) && (newX < _pane.getWidth()))\n _position.x += amount.x;\n\n if((newY > 0) && (newY < _pane.getHeight()))\n _position.y += amount.y;\n\n //Moving each line that makes up the object \n for(int i = 0; i < components.size(); i++)\n {\n if((newX > 0) && (newX < _pane.getWidth()))\n {\n components.get(i).setStartX(components.get(i).getStartX() + amount.x);\n components.get(i).setEndX(components.get(i).getEndX() + amount.x);\n }\n\n if((newY > 0) && (newY < _pane.getHeight()))\n {\n components.get(i).setStartY(components.get(i).getStartY() + amount.y);\n components.get(i).setEndY(components.get(i).getEndY() + amount.y); \n } \n }\n }","title":""},{"docid":"916726b9e219fb74de64fa1c1925a1da","score":"0.5945192","text":"public void move() {\n forEach(Sprite::move);\n }","title":""},{"docid":"b2e97908c309825b8311c2404b452917","score":"0.59296685","text":"public static void main(String[] args) {\n\n ArrayList<Movable> objects = new ArrayList<>();\n objects.add(new MovablePoint(5, 6));\n for (Movable movable : objects) {\n movable.move(5, -56);\n System.out.println(movable);\n }\n\n }","title":""},{"docid":"d98f74e17cec56b3464ae29ec587e9f6","score":"0.5897842","text":"private void moveElements()\n {\n LogHelper.e(TAG, \"Speed: \" + speed);\n execMove(obstacles, speed, playerXPos);\n execMove(birds, speed, playerXPos);\n execMove(grounds, speed, playerXPos);\n }","title":""},{"docid":"44c30d5d29c6ae0fda4469691f0ab7fe","score":"0.5894444","text":"@Override\r\n public void run() {\n moveGameObjects();\r\n\r\n executeCmds();\r\n }","title":""},{"docid":"44d4813950e6eba581b5ff08a39ba0d1","score":"0.58646995","text":"public void move()\n {\n // remove from universe at the current position\n machine.erase(this); //this = current object\n if (!isRemoved)\n {\n\n // compute new position\n currentYLocation += speedYTravel;\n currentXLocation += speedXTravel;\n \n // collision checking\n wallCollision();\n machine.objectCollisionCheck(this);\n \n // speed limiter\n // x Speed\n if (speedXTravel > speedLimit)\n {\n speedXTravel = speedLimit;\n }\n else if (speedXTravel < -speedLimit)\n {\n speedXTravel = -speedLimit;\n }\n // y Speed\n if (speedYTravel > speedLimit)\n {\n speedYTravel = speedLimit;\n }\n else if (speedYTravel < -speedLimit)\n {\n speedYTravel = -speedLimit;\n }\n \n \n // draw again at new position\n machine.draw(this);\n }\n }","title":""},{"docid":"5929a9f8eca65dcadf79086c1b79967a","score":"0.5836948","text":"public void moveAll() {\n int width = getWidth();\n int height = getHeight();\n for (Affirm a : affirms) {\n // random values in the range –SPEED ... +SPEED\n int dx = rand.nextInt(2 * SPEED + 1) - SPEED;\n int dy = rand.nextInt(2 * SPEED + 1) - SPEED;\n a.move(dx, dy);\n if (!a.isWithin(width, height)) {\n a.setLocation(rand.nextInt(width), rand.nextInt(height));\n }\n }\n repaint();\n }","title":""},{"docid":"b0e02056c66f554e3895a2ab3461c07b","score":"0.58299106","text":"@Test\n public void testMoveWindow() throws InterruptedException\n {\n System.out.println(\"moveWindow\");\n LinuxWindowManager instance = new LinuxWindowManager();\n Window w = instance.findWindow(\"NetBeans\");\n int x = 37;\n int y = 75;\n instance.moveWindow(w, x, y);\n Thread.sleep(1000);\n Rectangle r = instance.getWindowRect(w);\n assertEquals(x, r.x);\n assertEquals(y, r.y);\n x = 12;\n y = 27;\n instance.moveWindow(w, x, y);\n Thread.sleep(1000);\n r = instance.getWindowRect(w);\n assertEquals(x, r.x);\n assertEquals(y, r.y);\n x = 102;\n y = 207;\n instance.moveWindow(w, x, y);\n Thread.sleep(1000);\n r = instance.getWindowRect(w);\n assertEquals(x, r.x);\n assertEquals(y, r.y);\n }","title":""},{"docid":"bb05150f614a25d063079a2c11e2c7f5","score":"0.58271855","text":"private void moveEachUnit() {\n\n }","title":""},{"docid":"3027c76f43b0b3904a83f8f2d3ec654c","score":"0.58271384","text":"@Override\n public void run() {\n\n\n player.set();\n for(Wall wall: walls) wall.set(cameraX);\n // remove walls as they move left offscreen\n for(int i = 0; i < walls.size(); i++) {\n if(walls.get(i).x < -800) walls.remove(i);\n }\n for(int i = 0; i < asteroids.size(); i++) {\n\n }\n\n // should have repaint at end of this run method\n repaint();\n }","title":""},{"docid":"a3078bedf65ce9a9e149cd39b6fd80a6","score":"0.57821083","text":"public void move() {\n\t\tthis.setXLoc(this.getXLoc() + getIncr(max, global));\n\t}","title":""},{"docid":"bb1721d5261dd869ed3704e561f9ac03","score":"0.577762","text":"public void move(){\n\t\t// changeToNextFrame();\n\t\t// Its more efficient if only the classes that need this implement it in their move method.\n\t\t\n\t\tx+= speedX;\n\t\ty+= speedY;\n\t}","title":""},{"docid":"70a37cd52c79e9b3566603cd50beb8b3","score":"0.5773078","text":"private synchronized void mover(){\n\t\tbrazuca.addJugador( this );\n\t\t//brazuca.moverJugadores();\n\t\tbrazuca.mover();\n\t}","title":""},{"docid":"e054050071d465eb2b945de42e1ff655","score":"0.5768674","text":"@Override\r\n\tpublic void move() {\n\t\t\r\n\t\t\r\n\t}","title":""},{"docid":"a45a2cfcbfe61626fd8163ff0a0b5ebc","score":"0.5743702","text":"public void moveAllPieces() {\n\t\t// asteroid\n\t\tListIterator<ExistIn2D> asteroidListItr = asteroids.listIterator();\n\t\twhile(asteroidListItr.hasNext()) {\n\t\t\tAsteroid asteroid = (Asteroid) asteroidListItr.next();\n\t\t\tasteroid.move();\n\t\t}\n\t\t\n\t\t// rockets\n\t\tListIterator<ExistIn2D> rocketListItr = rockets.listIterator();\n\t\twhile(rocketListItr.hasNext()) {\n\t\t\tRocket rocket = (Rocket) rocketListItr.next();\n\t\t\trocket.move();\n\t\t}\n\t}","title":""},{"docid":"cb28cae4897c6fa2ef8cd53931c6e319","score":"0.5742989","text":"@Override\r\n\tpublic void move() {\n\t\t\r\n\t}","title":""},{"docid":"114a5027c338de2c04ee48a81858e773","score":"0.5736641","text":"public void move();","title":""},{"docid":"8cf0564825a12d82013d96f183df0da2","score":"0.5712672","text":"@Override\r\n\tpublic void next() {\r\n\t\tSet<WorldElement> s = simulateur.step();\r\n\t\tfor (WorldElement c : s) {\r\n\t\t\twindow.update(c);\r\n\t\t}\r\n\t}","title":""},{"docid":"31a12f34fea044f63ab009f1fe38571b","score":"0.5712343","text":"void moveAllPlates();","title":""},{"docid":"9f16e2548f318df86fd92cbc8830c7e7","score":"0.56816","text":"public void run() {\r\n\t\tmove();\r\n\t\tmove();\r\n\t}","title":""},{"docid":"e8f85f5dffa8836fa1fd8d9d12a34888","score":"0.56811124","text":"private void move(){\n this.killEnemies();\n for (int i = 0; i < this.enemies.size(); i++){\n this.enemies.get(i).move(this.gameVelocity);\n }\n if (this.backRect.y >= -10){\n this.backRect.setLocation(0, -950);\n }\n this.backRect.y += this.gameVelocity;\n }","title":""},{"docid":"b954a704a2bb18dcdd83612a15dc4bca","score":"0.5681071","text":"private void updateGUIPositions(int xDiv, int yDiv){\n for(GUIObject obj : this.drawnGUIObjects){\n obj.setPosition(obj.coordX + xDiv, obj.coordY + yDiv);\n obj.updateDimensions();\n }\n }","title":""},{"docid":"5f28967ff45e2173bbc168ba9880e0ea","score":"0.5671107","text":"public void clickMove() {\n\t\tcontroller.move();\n\t}","title":""},{"docid":"f584c470d3e71aebf1f40970b3ed8685","score":"0.56652236","text":"public void moveAndDraw(Graphics window)\n {\n\t \n\t draw(window, Color.WHITE);\n setX(getX()+xSpeed);\n\t\t//setY\n setY(getY()+ySpeed);\n\t\t//draw the ball at its new location\n draw(window);\n }","title":""},{"docid":"d49e33f05b55df15317afe51f72b7428","score":"0.5649678","text":"private void updatePositions(int elapsedTime)\n\t{\n\t\t//Telling all movable objects in gameWorldCollection to update their positions\n\t\ttheElements = gameWorldCollection.getIterator();\n\t while(theElements.hasNext())\n\t {\n\t \tholdObject = theElements.getNext();\n\t if(holdObject instanceof MovableObject)\n\t {\n\t MovableObject mobj = (MovableObject)holdObject;\n\t\t\t mobj.move(elapsedTime);\n\t }\n\t }\n\t}","title":""},{"docid":"3ac06675d90e1ace6464dc2accbd558c","score":"0.56496644","text":"public void moveZombies()\n {\n int min = -8;\n int max = 8;\n int newX;\n int newY;\n for(int x = 0; x < N; x++)\n {\n int oldX = turtle[x].getXLocation();\n int oldY = turtle[x].getYLocation();\n\n newX = min + (int)(Math.random() * ((max - min)+1));\n if ((oldX+newX < 0) || (oldX+newX >= width)) \n newX = 0;\n newY = min + (int)(Math.random() * ((max - min)+1));\n if ((oldY+newY < 0) || (oldY+newY >= width)) \n newY = 0;\n\n tLocations[oldX][oldY] = -1;\n tLocations[oldX+newX][oldY+newY] = x;\n turtle[x].setLocation(oldX+newX, oldY+newY);\n }\n }","title":""},{"docid":"81038b32d1824931b725779545492d95","score":"0.5640727","text":"abstract public void mouseSobreObjecto(World w);","title":""},{"docid":"a27d4c339ddd30c3438211b7fa961e24","score":"0.56331444","text":"public void move(){\n for(Bus bus : this.buses){\n if(!bus.waitOnStop()){\n if(this.moveWithBus(bus)){\n bus.getShapes().get(0).setOpacity(0);\n this.buses.remove(bus);\n }\n }\n }\n }","title":""},{"docid":"c2a72d934a25f6282d939e682086e4e7","score":"0.56198364","text":"void moveHorses() {\n raceManager.moveHorses();\n for (Horse horse : horses) {\n switch (horse.getName()) {\n case \"Horse1\":\n horse1.setX(horse.getX());\n break;\n case \"Horse2\":\n horse2.setX(horse.getX());\n break;\n case \"Horse3\":\n horse3.setX(horse.getX());\n break;\n }\n }\n }","title":""},{"docid":"0b71c78a01089b6487df17546e6d529d","score":"0.5613175","text":"public void run(){\n maria.move();\r\n maria.pickThing();\r\n maria.turnLeft();\r\n maria.move();\r\n maria.pickThing();\r\n maria.turnLeft();\r\n maria.move();\r\n maria.pickThing();\r\n \r\n }","title":""},{"docid":"57ef5e73b3415231ffbd2214b2be0e9e","score":"0.5599287","text":"public void moveAndDraw(Graphics window) {\n\t\t// draw a white ball at old ball location\n\t\tdrawOver(window);\n\t\tsetX(getX() + xSpeed);\n\t\tsetY(getY() + ySpeed);\n\t\tdraw(window);\n\t\t// setY\n\n\t\t// draw the ball at its new location\n\t}","title":""},{"docid":"98199ff6044e2498b2045309e91bc2e8","score":"0.55849993","text":"public void move() {\n\t\tGrid<Actor> gr = getGrid();\n\t\tif (gr == null)\n\t\t\treturn;\n\t\tLocation loc = getLocation();\n\t\t//if (gr.isValid(next)) {\n\t\tLocation tmp;\n\t\tif (crossLocation.empty()) {\n\t\t\tcrossLocation.push(getLocation());\n\t\t}\n\t\tsetDirection(getLocation().getDirectionToward(next));\n\t\t\n\t\tcrossLocation.push(next);\n\t\tmoveTo(next);\n\t\tlast = next;\n\t\tnext = null;\n\t\t//} else\n\t\t\t//removeSelfFromGrid();\n\t\tFlower flower = new Flower(getColor());\n\t\tflower.putSelfInGrid(gr, loc);\n\t\t//System.out.println(\"test-move\");\n\t\t//System.out.println(crossLocation.size());\n\t\t//System.out.println(crossLocation.toString());\n\t\t\n\t}","title":""},{"docid":"e16ae18c33d92e233cf8dd56ac25af81","score":"0.55800396","text":"@Override\n\tpublic void move() {\n\t\t\n\t}","title":""},{"docid":"e16ae18c33d92e233cf8dd56ac25af81","score":"0.55800396","text":"@Override\n\tpublic void move() {\n\t\t\n\t}","title":""},{"docid":"e16ae18c33d92e233cf8dd56ac25af81","score":"0.55800396","text":"@Override\n\tpublic void move() {\n\t\t\n\t}","title":""},{"docid":"032c5dcc4cbf3698844a71da612fa5cc","score":"0.5570059","text":"private void move() {\n tail.setLocation(tail.getX() + deltaX, tail.getY() + deltaY);\n displayTail = canvas.translateActualtoMovingDisplay(tail);\n leader.setLocation(leader.getX() + deltaX, leader.getY() + deltaY);\n displayLeader = canvas.translateActualtoMovingDisplay(leader);\n }","title":""},{"docid":"ac8357e47f68186dd2db23feae86989f","score":"0.5558196","text":"private void move()\n {\n setLocation(getX()+delta, getY());\n \n }","title":""},{"docid":"a4911643cab7cb09590e839ae4999a30","score":"0.55538344","text":"private void addGameObject(GameModel object, double x, double y){\n object.getView().setTranslateX(x);\n object.getView().setTranslateY(y);\n root.getChildren().add(object.getView());\n }","title":""},{"docid":"0493729b9deb8b457f10938885152042","score":"0.55513084","text":"public void moveButton () {\r\n int random = (int)(Math.random()*100);\r\n for(int i = 0; i < random; i++)\r\n screen.add(new JLabel());\r\n screen.add(randomMovingButton);\r\n for(int i = random; i < 100; i++)\r\n screen.add(new JLabel());\r\n frame.add(screen);\r\n frame.revalidate();\r\n frame.repaint();\r\n }","title":""},{"docid":"f16b514dbf2983dc831f50257ba718d6","score":"0.55392414","text":"public void tick(){\n\t\tfor(UIObject o:objects)\n\t\t{\n\t\t\to.tick();//tick each object\n\t\t}\n\t}","title":""},{"docid":"10adb8588209e30344be429559bcc515","score":"0.5538643","text":"@Override\n\tpublic void move() {\n\n\t}","title":""},{"docid":"10adb8588209e30344be429559bcc515","score":"0.5538643","text":"@Override\n\tpublic void move() {\n\n\t}","title":""},{"docid":"10adb8588209e30344be429559bcc515","score":"0.5538643","text":"@Override\n\tpublic void move() {\n\n\t}","title":""},{"docid":"10adb8588209e30344be429559bcc515","score":"0.5538643","text":"@Override\n\tpublic void move() {\n\n\t}","title":""},{"docid":"4228738e73b742c424e812b7671e366c","score":"0.5533465","text":"public Objects() {\r\n\t\tRandom rand = new Random();\r\n\t\tthis.setX(rand.nextFloat() * (690) + 10);\r\n\t\tthis.setY(rand.nextFloat() * (690) + 10);\r\n\t}","title":""},{"docid":"1e8ea00e4e041262df9630c40dd08eca","score":"0.5531371","text":"void move();","title":""},{"docid":"1e8ea00e4e041262df9630c40dd08eca","score":"0.5531371","text":"void move();","title":""},{"docid":"1e8ea00e4e041262df9630c40dd08eca","score":"0.5531371","text":"void move();","title":""},{"docid":"1e8ea00e4e041262df9630c40dd08eca","score":"0.5531371","text":"void move();","title":""},{"docid":"7c696d3d335c31ed748635e41ae4e309","score":"0.5522044","text":"void moveAll(double currentTime);","title":""},{"docid":"0cc4a5c2d9dbd5ac1461100b1a56cfc3","score":"0.5521219","text":"private void createObjects() {\n // Box Breaker vars\n //-------------------------------------------\n\n int w = gm.screenWidth/4;\n int h = gm.screenHeight/4;\n float[] shapeVerts = new float[]{\n -w/2,h/2,0,\n w/2,h/2,0,\n\n w/2,h/2,0,\n w/2,-h/2,0,\n\n w/2,-h/2,0,\n -w/2,-h/2,0,\n\n -w/2,-h/2,0,\n -w/2,h/2,0,\n };\n\n gm.shape = new Shape3( gm.screenWidth/2, gm.screenHeight/2, shapeVerts);\n\n gm.ball = new Ball(20,gm.screenWidth/2, 30);\n\n for (int i=0;i<gm.boxes.length;i++){\n gm.boxes[i] = new Box(gm.mapWidth, gm.mapHeight, -10,-10);\n }\n\n //-------------------------------------------\n\n\n // Some stars\n gm.stars = new Star[gm.numStars];\n for (int i = 0; i < gm.numStars; i++) {\n\n // Pass in the map size so the stars no where to spawn\n gm.stars[i] = new Star(gm.mapWidth, gm.mapHeight);\n }\n\n }","title":""},{"docid":"cd34700fd1087af08058c436e30390a7","score":"0.5509475","text":"@Override\n\t\tpublic void actionPerformed(ActionEvent e) {\n\n\t\t\tif (e.getSource() == Window.newGame) {\n\t\t\t\t\n\t\t\t\tMonstersArray[0] = MBattleSwing.Tony;\n\t\t\t\tMonstersArray[1] = MBattleSwing.John;\n\t\t\t\tMonstersArray[2] = MBattleSwing.Jack;\n\t\t\t\tMonstersArray[3] = MBattleSwing.Cat;\n\t\t\t\tMonstersArray[4] = MBattleSwing.Zach;\n\t\t\t\tMonstersArray[5] = MBattleSwing.Thomas;\n\t\t\t\tMonstersArray[6] = MBattleSwing.David;\n\t\t\t\tMonstersArray[7] = MBattleSwing.Vincent;\n\t\t\t\tMonstersArray[8] = MBattleSwing.Gina;\n\t\t\t\tMonstersArray[9] = MBattleSwing.Alex;\n\t\t\t\t\n\t\t\t\tMonster.buildBattleBoard();\n\t\t\t\t\n\t\t\t\tfor (Monster aMonster : MonstersArray) {\n\n\t\t\t\t\taMonster.resetMonsters(MonstersArray);\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\tWindow.textBox.setText(\"\");\n\t\t\t\t\n\t\t\t\twhile (Monster.numOfMonsters > 1) {\n\t\t\t\t\tif(!waitForNext){\n\t\t\t\t\t\n\t\t\t\t\tMonstersArray[0] = MBattleSwing.Tony;\n\t\t\t\t\tMonstersArray[1] = MBattleSwing.John;\n\t\t\t\t\tMonstersArray[2] = MBattleSwing.Jack;\n\t\t\t\t\tMonstersArray[3] = MBattleSwing.Cat;\n\t\t\t\t\tMonstersArray[4] = MBattleSwing.Zach;\n\t\t\t\t\tMonstersArray[5] = MBattleSwing.Thomas;\n\t\t\t\t\tMonstersArray[6] = MBattleSwing.David;\n\t\t\t\t\tMonstersArray[7] = MBattleSwing.Vincent;\n\t\t\t\t\tMonstersArray[8] = MBattleSwing.Gina;\n\t\t\t\t\tMonstersArray[9] = MBattleSwing.Alex;\n\n\t\t\t\t\tfor (Monster objMonsterAlive : MonstersArray) {// goes\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// through\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// MonstersArray\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// and sets\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// the\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// mobnsrter\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// to obj\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// Monster\n\t\t\t\t\t\tif (objMonsterAlive.getAlive()) {// checks in that\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// monster is allive\n\t\t\t\t\t\t\tobjMonsterAlive.moveMonster(MonstersArray);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tfor (Monster objMonster : MonstersArray) {// goes through\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// list of\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// monsters\n\t\t\t\t\t\tif (objMonster.getAlive()) {// if moster is alive\n\n\t\t\t\t\t\t\tint x = objMonster.xPosition;\n\t\t\t\t\t\t\tint y = objMonster.yPosition;\n\n\t\t\t\t\t\t\tif (x >= 0 && x <= 9 && y + 1 >= 0 && y + 1 <= 9\n\t\t\t\t\t\t\t\t\t&& Monster.battleBoard[y + 1][x] != '*') {// if\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// moster\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// above\n\n\t\t\t\t\t\t\t\tfor (Monster objFindMonster : MonstersArray) {// find\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// moster\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// thats\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// there\n\t\t\t\t\t\t\t\t\tint findX = objFindMonster.xPosition;\n\t\t\t\t\t\t\t\t\tint findY = objFindMonster.yPosition;\n\n\t\t\t\t\t\t\t\t\tif (x == findX && y + 1 == findY) {\n\t\t\t\t\t\t\t\t\t\tobjFindMonster.setHealth(objMonster\n\t\t\t\t\t\t\t\t\t\t\t\t.getAttack());\n\t\t\t\t\t\t\t\t\t\tSystem.out.println(objFindMonster.name\n\t\t\t\t\t\t\t\t\t\t\t\t+ \" was attacked by UP \"\n\t\t\t\t\t\t\t\t\t\t\t\t+ objMonster.name);\n\t\t\t\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif (x >= 0 && x <= 9 && y - 1 >= 0 && y - 1 <= 9\n\t\t\t\t\t\t\t\t\t&& Monster.battleBoard[y - 1][x] != '*') {// if\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// monster\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// below\n\n\t\t\t\t\t\t\t\tfor (Monster objFindMonster : MonstersArray) {// find\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// moster\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// thats\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// there\n\t\t\t\t\t\t\t\t\tint findX = objFindMonster.xPosition;\n\t\t\t\t\t\t\t\t\tint findY = objFindMonster.yPosition;\n\n\t\t\t\t\t\t\t\t\tif (x == findX && y - 1 == findY) {\n\t\t\t\t\t\t\t\t\t\tobjFindMonster.setHealth(objMonster\n\t\t\t\t\t\t\t\t\t\t\t\t.getAttack());\n\t\t\t\t\t\t\t\t\t\tSystem.out.println(objFindMonster.name\n\t\t\t\t\t\t\t\t\t\t\t\t+ \" was attacked by DOWN \"\n\t\t\t\t\t\t\t\t\t\t\t\t+ objMonster.name);\n\t\t\t\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif (x + 1 >= 0 && x + 1 <= 9 && y >= 0 && y <= 9\n\t\t\t\t\t\t\t\t\t&& Monster.battleBoard[y][x + 1] != '*') {// if\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// moster\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// to\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// right\n\n\t\t\t\t\t\t\t\tfor (Monster objFindMonster : MonstersArray) {// find\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// moster\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// thats\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// there\n\t\t\t\t\t\t\t\t\tint findX = objFindMonster.xPosition;\n\t\t\t\t\t\t\t\t\tint findY = objFindMonster.yPosition;\n\n\t\t\t\t\t\t\t\t\tif (x + 1 == findX && y == findY) {\n\t\t\t\t\t\t\t\t\t\tobjFindMonster.setHealth(objMonster\n\t\t\t\t\t\t\t\t\t\t\t\t.getAttack());\n\t\t\t\t\t\t\t\t\t\tSystem.out.println(objFindMonster.name\n\t\t\t\t\t\t\t\t\t\t\t\t+ \" was attacked by RIGHT \"\n\t\t\t\t\t\t\t\t\t\t\t\t+ objMonster.name);\n\t\t\t\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif (x - 1 >= 0 && x - 1 <= 9 && y >= 0 && y <= 9\n\t\t\t\t\t\t\t\t\t&& Monster.battleBoard[y][x - 1] != '*') {// if\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// moster\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// to\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// left\n\n\t\t\t\t\t\t\t\tfor (Monster objFindMonster : MonstersArray) {// find\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// moster\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// thats\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// there\n\t\t\t\t\t\t\t\t\tint findX = objFindMonster.xPosition;\n\t\t\t\t\t\t\t\t\tint findY = objFindMonster.yPosition;\n\n\t\t\t\t\t\t\t\t\tif (x - 1 == findX && y == findY) {\n\t\t\t\t\t\t\t\t\t\tobjFindMonster.setHealth(objMonster\n\t\t\t\t\t\t\t\t\t\t\t\t.getAttack());\n\t\t\t\t\t\t\t\t\t\tSystem.out.println(objFindMonster.name\n\t\t\t\t\t\t\t\t\t\t\t\t+ \" was attacked by LEFT \"\n\t\t\t\t\t\t\t\t\t\t\t\t+ objMonster.name);\n\t\t\t\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}// if alive\n\t\t\t\t\t}// for statement\n\t\t\t\t\t\n\n\t\t\t\t\tSystem.out.println(\"\\n\" + gameNumber + \":\");\n\t\t\t\t\tMonster.redrawBoard();\n\t\t\t\t\tgameNumber++;\n\n\t\t\t\t\tfor (Monster objMonster : MonstersArray) {\n\t\t\t\t\t\tif (objMonster.getHealth() <= 0) {\n\t\t\t\t\t\t\tobjMonster.alive = false;\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif (objMonster.getAlive() == false\n\t\t\t\t\t\t\t\t&& objMonster.alreadyDead == false) {\n\n\t\t\t\t\t\t\tSystem.out.println(objMonster.name + \" is Dead!\");\n\t\t\t\t\t\t\tobjMonster.orderDead = orderDead;\n\t\t\t\t\t\t\torderDead++;\n\n\t\t\t\t\t\t\tMonster.numOfMonsters--;\n\t\t\t\t\t\t\tobjMonster.alreadyDead = true;\n\t\t\t\t\t\t\tdeathStop = true;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif (objMonster.getAlive()) {\n\t\t\t\t\t\t\tSystem.out.println(objMonster.name + \" \"\n\t\t\t\t\t\t\t\t\t+ objMonster.getHealth());\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n/*\n\t\t\t\t\tif (Window.stopEveryTime.isSelected() || (Window.stopDeath.isSelected() && deathStop)) {\n\t\t\t\t\t\twaitForNext = true;\n\t\t\t\t\t\t\n\t\t\t\t\t}*/\n\t\t\t\t\t\n\t\t\t\t}else{\n\t\t\t\t\tif(e.getSource() == Window.next){\n\t\t\t\t\t\twaitForNext = false;\n\t\t\t\t\t\tdeathStop = false;\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t}// while loop\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\n\t\t\t\tif (Monster.numOfMonsters == 0) {\n\n\t\t\t\t\tfor (Monster objMonster : MonstersArray) {\n\n\t\t\t\t\t\tif (Monster.totalNumMonsters - objMonster.orderDead == 0) {\n\t\t\t\t\t\t\tname1 = objMonster.name;\n\t\t\t\t\t\t\n\t\t\t\t\t\t} else if (Monster.totalNumMonsters\n\t\t\t\t\t\t\t\t- objMonster.orderDead == 1) {\n\t\t\t\t\t\t\tname2 = objMonster.name;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tSystem.out.println(\"\\nTIE:\\n\" + name1 + \"\\n\" + name2);\n\n\t\t\t\t} else {\n\n\t\t\t\t\tfor (Monster objMonster : MonstersArray) {// gets last one\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// alive\n\t\t\t\t\t\tif (objMonster.getAlive()) {\n\t\t\t\t\t\t\tSystem.out.println(\"\\nWINNER: \" + objMonster.name);\n\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t\n\t\t\t}\n\t\t}","title":""},{"docid":"6285872e30649006b4d9401224a020d4","score":"0.55074036","text":"@Test\n void move() {\n Room room = TestUtils.createSimpleRoom(4,4,1);\n Tile[][] tiles = room.getTiles();\n Character testObject = createBaseCharacter(\"Foo\", 2, 2);\n addCharacter(room, 1, 1, testObject);\n testObject.move(room.getNextTile(testObject.tile, new Direction(0,1 )));\n assertEquals(tiles[1][2], testObject.tile);\n testObject.move(room.getNextTile(testObject.tile, new Direction(0,-1 )));\n assertEquals(tiles[1][1], testObject.tile);\n }","title":""},{"docid":"044df94d7b7ab19efe14caa0e80d3baf","score":"0.55017865","text":"public void move(Object object, Barline intersect) {\n\t\t\n\t}","title":""},{"docid":"fc9702204cd8c3dd0d0f92013c5e01e5","score":"0.54860103","text":"private void move() {\n\t\tupdate();\n\t\trerender();\n\t\tif (this.hasReachedCandy)\n\t\t\tthis.foundCandy.rerender();\n\t}","title":""},{"docid":"26056ea6303b4fd87e9eca413fd36ddc","score":"0.54814476","text":"public void moveBots() {\r\n\t\tfor (int i = 0; i < bots.length; i++) {\r\n\t\t\tbots[i].move(1);\r\n\t\t}\r\n\r\n\t}","title":""},{"docid":"26a36ba42e8302a48b980f46a6da2e45","score":"0.54811484","text":"public void move() {\n\t\tsuper.x[0] += (wind.getXFactor());\n\t\tsuper.y[0] += (wind.getYFactor());\n\t}","title":""},{"docid":"34980b6a2eefa60d38dc307cf112e9e2","score":"0.5461043","text":"@Override\n public void move() {\n \n }","title":""},{"docid":"d72dff8c7c07e9a1f9755f6452af2425","score":"0.54568785","text":"public void actionPerformed(ActionEvent event) {\n\t\t// DO NOT CHANGE the next four lines, and add nothing above them\n\t\tif (! this.window.isValid()) { // the \"close window\" button\n\t\t\tthis.gameTimer.stop(); // should stop the timer\n\t\t\treturn; // and stop doing anything else\n\t\t} \n\t\t// DO NOT CHANGE the previous four lines\n\t\t\n\t\t\n\t\t\n\t\t// TODO: add every-frame logic in here (gravity, momentum, collisions, etc)\n\n\t\tbird.applyDrag();\n\t\tbird2.applyDrag();\n\t\tbird.gravity();\n\t\tbird2.gravity();\n\t\tbird.bounceIfOutsideOf(boundry, 0.5);\n\t\tbird2.bounceIfOutsideOf(boundry, 0.5);\n\t\tbird.bounceIfInsideOf(Obstacle1, 0.5);\n\t\tbird2.bounceIfInsideOf(Obstacle1, 0.5);\n\t\tbird.bounceIfInsideOf(Obstacle2, 0.5);\n\t\tbird2.bounceIfInsideOf(Obstacle2, 0.5);\n\t\tbird.bounceIfBirdHitsBird(bird2, 0.5);\n\t\tbird2.bounceIfBirdHitsBird(bird, 0.5);\n\t\tbird.makeFlipped(bird2);\n\t\tbird2.makeFlipped(bird);\n\t\t\n\t\t\n\t\t\n\t\t// DO NOT CHANGE the next line; it must be last in this method\n\t\tthis.refreshScreen(); // redraws the screen after things move\n\t\t// DO NOT CHANGE the above line; it must be last in this method\n\t}","title":""},{"docid":"74c1c3e6ae89b6bf70086595b6105c52","score":"0.5453411","text":"public void act() \n {\n mover();\n diminuir(BOLA, bola);\n if(!apagaObjetos())\n colisao(this);\n }","title":""},{"docid":"8b50ac6add9fbd0b90ea2ad486d4d2a6","score":"0.54446125","text":"public void moveNorth();","title":""},{"docid":"5c664e20347292e025b8510e2ca80acc","score":"0.54390186","text":"public static void randomMove(MovableObject objectToMove){\r\n\t\tint direction = generateRandomNumberWithinSpan(1, 4);\r\n\t\tobjectToMove.move(direction);\r\n\t}","title":""},{"docid":"52569159352d4385574533531a0cdc01","score":"0.5437968","text":"@Override\n\tpublic void destroy()\n\t{\n\t\tMainWindow.score+=40;\n\t\tMainWindow.objs.add(new MidBall((this.velocityX+s),( this.velocityY+s),(int) this.obj.getX(),(int)this.obj.getY()));\n\t\tMainWindow.objs.add(new MidBall((this.velocityX+s), (this.velocityY-s),(int) this.obj.getX(),(int)this.obj.getY()));\n\t\tMainWindow.objs.add(new MidBall((this.velocityX-s), (this.velocityY+s),(int) this.obj.getX(),(int)this.obj.getY()));\n\t\tMainWindow.objs.add(new MidBall((this.velocityX-s), (this.velocityY-s),(int) this.obj.getX(),(int)this.obj.getY()));\n\t\tMainWindow.objs.remove(this);\n\t}","title":""},{"docid":"bda8e07a69db198817f22c7170246eec","score":"0.54267293","text":"public void updateShots() {\r\n\t\tList<Shot> shots = mc.GetShots();\r\n\t\tfor (int i = 0; i < shots.size(); i++) {\r\n\t\t\tShot s = shots.get(i);\r\n\t\t\tint direction = s.getDirection();\r\n\t\t\tif (s.isVisible())\r\n\t\t\t\tswitch (direction) {\r\n\t\t\t\tcase 0:\r\n\t\t\t\t\ts.moveUp();\r\n\t\t\t\t\tbreak;\r\n\t\t\t\tcase 1:\r\n\t\t\t\t\ts.moveDown();\r\n\t\t\t\t\tbreak;\r\n\t\t\t\tcase 2:\r\n\t\t\t\t\ts.moveLeft();\r\n\t\t\t\t\tbreak;\r\n\t\t\t\tcase 3:\r\n\t\t\t\t\ts.moveRight();\r\n\t\t\t\t\tbreak;\r\n\t\t\t\t}\r\n\t\t\telse\r\n\t\t\t\tshots.remove(i);\r\n\t\t}\r\n\t}","title":""},{"docid":"bf7dff18bd62529d51b4e8ad10beb775","score":"0.5423393","text":"public void stage(GameStage stage) {\n //Put all the initialized game objects here\n Rectangle rec = new Rectangle(50, 50);\n rec.setFill(Color.BLUE);\n Player object = new Player(\"rectangle\", rec);\n object.setX(100);\n object.setY(0);\n object.run();\n \n \n\n// Box object2 = new Box(\"rectangle2\");\n// object2.setX(0);\n// object2.setY(400);\n// Box object3 = new Box(\"rectangle2\");\n// object3.setX(50);\n// object3.setY(400);\n// Box object4 = new Box(\"rectangle2\");\n// object4.setX(100);\n// object4.setY(400);\n// Box object5 = new Box(\"rectangle2\");\n// object5.setX(150);\n// object5.setY(400);\n// Box object6 = new Box(\"rectangle2\");\n// object6.setX(200);\n// object6.setY(400);\n// Box object7 = new Box(\"rectangle2\");\n// object7.setX(250);\n// object7.setY(400);\n// Box object8 = new Box(\"rectangle2\");\n// object8.setX(300);\n// object8.setY(400);\n// Box object9 = new Box(\"rectangle2\");\n// object9.setX(350);\n// object9.setY(400);\n// Box object10 = new Box(\"rectangle2\");\n// object10.setX(400);\n// object10.setY(400);\n// Box object11 = new Box(\"rectangle2\");\n// object11.setX(450);\n// object11.setY(400);\n// Box object12 = new Box(\"rectangle2\");\n// object12.setX(300);\n// object12.setY(350);\n// Box object13 = new Box(\"rectangle2\");\n// object13.setX(200);\n// object13.setY(350);\n// \n// stage.addObject(object,object2,object3, object4, object5, object6, object7, object8, object9, object10, object11, object12, object13);\n stage.addObject(randomGeneration());\n stage.addObject(object);\n }","title":""},{"docid":"f581f2b872d1414939d7f222e61d3441","score":"0.5395989","text":"public void moveShots(){\n\t\tfor (int i=0;i<eShots.size();i++){\n\t\t\teShots.get(i).move();\n\t\t}\n\t\tfor (int i=0;i<sShots.size();i++){\n\t\t\tsShots.get(i).move();\n\t\t}\n\t}","title":""},{"docid":"53d00b818f5a510de5e9be609f2c34fe","score":"0.5393376","text":"public void move()\n {\n \n // Grass doesn't move.\n \n }","title":""},{"docid":"d4d114e5b88cc361a7cc1f41b55bc98d","score":"0.5392372","text":"void setToCurrentBox(int index, Domino domino , int playerID);","title":""},{"docid":"2bb4bf03bbeea8b95cc0506b6af37a48","score":"0.5391355","text":"private static void moveRobots(Container objectContainer) {\n\t\tobjectContainer.getPairRobotInstructions().forEach(\n\t\t\t\tpair -> moveRobot(pair));\n\t}","title":""},{"docid":"608b03705ab3030cbd36e80f1e3df89a","score":"0.539129","text":"public void act() \n {\n int px=this.getX();\n int py=this.getY();\n \n int nuevoX=incX+px;\n int nuevoY=incY+py;\n World mundo = this.getWorld();\n Greenfoot.delay(1000);\n if(this.isTouching(Jugador1.class) || this.isTouching(Jugador2.class)){\n if(randomX == 0){\n incX = -incX; \n }\n else if(randomX == 1){\n incX = -incX; \n }\n else if(randomY == 0){\n incY = -incY; \n }\n else if(randomY == 1){\n incY = -incY; \n }\n \n }\n else if(nuevoY > mundo.getHeight()){ //Rebota en la parte de abajo :o\n mundo.removeObject(this);\n \n }\n else if(nuevoY < 0){ //Rebota en la parte de arriba \n mundo.removeObject(this);\n }\n else if(nuevoX > mundo.getWidth()){ //Rebota pa' la derecha\n incX=-incX;\n }\n else if(nuevoX < 0){ //Rebota en la parte de izquierda\n incX=-incX;\n }\n\n \n this.setLocation(nuevoX,nuevoY);\n }","title":""},{"docid":"b28b1417ccf0ef0c3c7a376287a1fdd9","score":"0.537937","text":"public void act() \n { \n List<Person> people =\n (List<Person>) getIntersectingObjects(Person.class);\n \n for (Person person : people) {\n person.infect();\n }\n \n move(1);\n \n if (isAtEdge()) {\n faceRandomDirection();\n }\n \n if (stepsActive > STEPS_ACTIVE) {\n getWorld().removeObject(this);\n }\n \n stepsActive++;\n }","title":""},{"docid":"b76beb15096cc315215ee7b0f8d93527","score":"0.53596133","text":"@Override\n public void move() {\n moveTo(xMax / 2, yMax / 2);\n }","title":""},{"docid":"1435b21071e9195a4af635f3b4c520d2","score":"0.53589284","text":"private void doRunnableUpdate()\n {\n doModified();\n ( (TapTube) currentObject.object ).setShape( null );\n ObjectInfo info = currentObject.duplicate();\n info.object = currentObject.object.duplicate();\n\n Vec3 size = info.object.getBounds().getSize();\n info.coords.setOrigin( new Vec3( 0, size.y / 2, 0 ) );\n\n ObjectPreviewCanvas opc;\n sp.add( opc = new ObjectPreviewCanvas( info ), 1 );\n opc.setPreferredSize( new Dimension( 250, 250 ) );\n\n repaint();\n }","title":""},{"docid":"1258c4f00128b3b43cfad9267b33d5e6","score":"0.5358713","text":"public void select(String objName){\n\n //remove previous objects on the world\n world.clear();\n\n //add the selected object to the world\n world.add((Object3D)objectList.get(objName));\n\n //refresh the painting\n //repaint();\n\t}","title":""},{"docid":"d8a0a1c0ad209b360c183e28cb7ed9ad","score":"0.535789","text":"public void setMoverScreenCoords() {\r\n mShape.setScreenCoords(getWindowCoords(mShape.getPos()));\r\n for (LightPoint light : mOnLights) {\r\n light.setScreenCoords(getWindowCoords(light.getPos()));\r\n }\r\n if (mGravCircleCount > 1) {\r\n mMobRing.setScreenCoords(getWindowCoords(mMobRing.getPos()));\r\n }\r\n }","title":""},{"docid":"7ea956617fdeded1fd1fa0a5fc3c1a9e","score":"0.5356288","text":"@Override\n public void move() {\n if (!fleetDown){\n move();\n for (Vehicle c : vehicles){\n c.getPosition().setLocation(getPosition().x, getPosition().y);\n }\n }\n }","title":""},{"docid":"8b254eb65d8720d3b8d15c4650a17b7e","score":"0.5351837","text":"@Override\r\n\tpublic void actionPerformed(ActionEvent e) {\r\n\t\tlong beforeTime = System.nanoTime();\r\n\t\tfor (int i = 0; i < shapeList.size(); i++) {\r\n\t\t\tshapeList.get(i).moveShape();\r\n\t\t}\r\n\t\trepaint();\r\n\t\tsleepTime = delay - ((System.nanoTime() - beforeTime) / 1000000L);\r\n\t\ttry {\r\n\t\t\t// actual sleep code\r\n\t\t\tif (sleepTime > 0) {\r\n\t\t\t\tThread.sleep(sleepTime);\r\n\t\t\t}\r\n\t\t} catch (InterruptedException ex) {\r\n\r\n\t\t}\r\n\t}","title":""},{"docid":"b3d956b59df9edcb9aeef6e709ffe0bf","score":"0.5350325","text":"void moveToSubjectSpace() {\n // Since the text \"owned\" by the axes must precede the axes,\n // the dimensionality is not defined yet. So we assume 3D.\n // This is not a problem for Text due to the \"Fundamental 2D/3D\n // Approximation\" which is \"For all Drawables except Pointset, the\n // Z-coordinate is allocated and GUI controls are created.\n // In 2D are they made invisible to the user, but still exist.\"\n for (int a = 0; a < 3; a++) {\n if (moving) {\n start[a] -= session.plotManager.subject.cumDelta[a];\n min[a] -= session.plotManager.subject.cumDelta[a];\n max[a] -= session.plotManager.subject.cumDelta[a];\n }\n }\n }","title":""},{"docid":"dc64a3240e24ec16f2e82b740a46c7b6","score":"0.5346656","text":"void moveAll() {\n for (Drone d : drones) {\n d.tryMove(this); //calls the method tryMove\n }\n }","title":""},{"docid":"1c07131963d18cfb4fb344b8aea42f30","score":"0.5340885","text":"public void lookAt(DisplayObject obj)\r\n\t{\r\n\t\tlookAt(obj.getBounds());\r\n\t}","title":""},{"docid":"aaa7968899f7cef285ddcc45a99bfbad","score":"0.53385735","text":"public void tick()\r\n\t{\r\n\t\tfor(int i = 0; i < object.size(); i++)\r\n\t\t{\r\n\t\t\tGameObject tempObject = object.get(i);\r\n\t\t\ttempObject.tick();\r\n\t\t}\r\n\t}","title":""},{"docid":"b38c78b63bc1ea3f1e68f6de9b91380d","score":"0.53382033","text":"void doMovement();","title":""},{"docid":"adf669c75832c20f7a23989ea40b17d8","score":"0.53258955","text":"@Override//重写父类方法\n\tpublic void move() {\n\t\tsuper.move();\n\t}","title":""},{"docid":"14111d8948200a2fb542ace98d2cbd17","score":"0.5325815","text":"private void resetAllObjects() {\n objectsRemaining = 16;\n if (nextObjIsInfested) {\n obj001.setImageResource(objectWebbedImg);\n } else {\n obj001.setImageResource(objectImg);\n }\n obj002.setImageResource(objectImg);\n obj003.setImageResource(objectImg);\n obj004.setImageResource(objectImg);\n obj005.setImageResource(objectImg);\n obj006.setImageResource(objectImg);\n obj007.setImageResource(objectImg);\n obj008.setImageResource(objectImg);\n obj009.setImageResource(objectImg);\n obj010.setImageResource(objectImg);\n obj011.setImageResource(objectImg);\n obj012.setImageResource(objectImg);\n obj013.setImageResource(objectImg);\n obj014.setImageResource(objectImg);\n obj015.setImageResource(objectImg);\n obj016.setImageResource(objectImg);\n }","title":""},{"docid":"c110291114677b3a98e4aa21b5b935a0","score":"0.5324484","text":"public void tick() {\n\t\tfor (int i = 0; i < object.size(); i++) {\n\t\t\tGameObject tempObject = object.get(i);\n\t\t\t\n\t\t\ttempObject.tick();\n\t\t}\n\t}","title":""},{"docid":"ecaf2218551ec5eab0d4157eb8557192","score":"0.5321204","text":"@Override\n public void actionPerformed(ActionEvent e) {\n Iterator iterator = this.getIterator();\n timeCounterInTicks++;\n\n while (iterator.hasNext()) {\n GameObject obj = (GameObject) iterator.getNext();\n if (obj instanceof Moveable) {\n ((Moveable) obj).move(MILISEC_PER_FRAME / 10);\n doCollisionChecking();\n doShockWaveChecking();\n removeUnnecessaryObjects();\n }\n }\n if (this.getTimeInTicks() % 50 == 0 && this.getTimeInTicks() != 0) { /* 50 * 20 = 1000 (1 sec) */\n resetTimeCounterInTermsOfTicks();\n seconds++;\n if (seconds % 10 == 0 && seconds != 0) {\n switchStrategies();\n }\n }\n notifyObserver();\n }","title":""},{"docid":"c6e8f276c65c05c23a295da666a2b2bb","score":"0.5321017","text":"public void monedasMonedero(){\n int x=700;\n int y=500;\n for(int i=1;i<5;i++){\n addObject(new Monedas(\"images/moneda\"+i+\".png\"),x,y);\n x+=60;\n }\n }","title":""}],"string":"[\n {\n \"docid\": \"d6abfd1977d228fca26574c904ee6aea\",\n \"score\": \"0.7046634\",\n \"text\": \"public void moveObjects() {\\n try {\\n if (getEnemies().size() > 0) {\\n for (Enemy enemy : getEnemies()) {\\n enemy.move();\\n }\\n }\\n } catch (Exception e) {\\n System.out.println(\\\"Enemy ArrayList Error!\\\");\\n }\\n try {\\n //System.out.println(getObjects().toString());\\n for (BoardObject obj : getObjects()) {\\n obj.move();\\n }\\n } catch (Exception e) {\\n System.out.println(\\\"Object ArrayList Error!\\\");\\n }\\n //move rocks (handles animations\\n\\n //ANIMATIONS ARE REPRESENTED AS A NUMBER THAT REPRESENTS THE CURRENT FRAME\\n //THE PNGS WILL BE CHANGED LATER\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9ab190bd4c659fba508229473091a42e\",\n \"score\": \"0.667853\",\n \"text\": \"private void doFrame()\\r\\n\\t{\\r\\n\\t\\tfor (Entity entity : entities)\\r\\n\\t\\t{\\r\\n\\t\\t\\tentity.move();\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"36e41a784827a1e5fa60e9c2e4e9301f\",\n \"score\": \"0.63472426\",\n \"text\": \"public void moveAll(double x, double y)\\n {\\n for (MapObject mo : allObjects)\\n {\\n mo.moveTo(x + mo.getX(), y + mo.getY());\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ba5b80e476a5a7f465201216e7c00ef5\",\n \"score\": \"0.63268363\",\n \"text\": \"private void updateObjectPositions()\\r\\n\\t{\\r\\n\\t\\tnemo.updatePos();\\r\\n\\t\\t\\r\\n\\t\\tfor (CoralObstacle coral: coralDeque)\\r\\n\\t\\t\\tcoral.updatePos();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4d0c30f97fbad3f165c786ef3995dc41\",\n \"score\": \"0.6195283\",\n \"text\": \"public void Movetoelements(WebDriver driver,WebElement object) \\n\\t{\\n\\t\\tActions action = new Actions(driver);\\n\\t\\taction.moveToElement(object).build().perform();\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c09b112c652f189bcafa16c7714f803f\",\n \"score\": \"0.61470324\",\n \"text\": \"private void positionObjects() {\\n\\t/*\\tfloat topScreen = windowDimensions.getMaxYPos(5);\\n\\t\\tfloat xBox = windowDimensions.getMaxXPos(-5)+dimensions.get(\\\"HealthBarBox\\\").getX()+0.02f;\\n\\t\\tfloat yBox = (topScreen*-1)+dimensions.get(\\\"HealthBarBox\\\").getY()+0.02f;\\n\\t\\tfloat xBar = xBox + (float)(dimensions.get(\\\"HealthBarBox\\\").getX()/3); \\n\\t\\tfloat yDigit = topScreen - dimensions.get(\\\"Digit0\\\").getY()-0.1f;\\n\\t\\tfloat xDigit = windowDimensions.getMaxXPos(5)-(dimensions.get(\\\"Digit0\\\").getX()*scoreBoard.getNumDigits())-0.02f;\\n\\t\\thealthBar.setPosition(new Vec3(xBar,yBox,-5));\\n\\t\\thealthBarBox.setPosition(new Vec3(xBox,yBox,-5));\\n\\t\\tscoreBoard.setPosition(new Vec3(xDigit,yDigit,-5));\\t\\t*/\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0d10a0dedce2f6a95de4a163abffba13\",\n \"score\": \"0.61260515\",\n \"text\": \"@Override\\n\\tpublic void moveObject()\\n\\t{\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a3f05c87a6990d62489bb114f1ec71dd\",\n \"score\": \"0.610815\",\n \"text\": \"@Override\\n\\tpublic void iObjs()\\n\\t{\\n\\n\\t\\t// Make sure these are accurate.\\n\\t\\tgame_w = getGameW();\\n\\t\\tgame_h = getGameH();\\n\\t\\t\\n\\t\\t// Compute dimensions.\\n\\t\\tint w = getW();\\n\\t\\tint h = getH();\\n\\t\\t\\n\\t\\t// The object selector list. \\t\\t\\n\\t\\tgui_list obj_selector = new gui_list(0, 0, w - game_w, h);\\n\\t\\tobj_create(obj_selector);\\n\\t\\t\\n\\t\\t// The options panel\\n\\t\\tgui_window create_options = new gui_window(w - game_w, game_h, game_w, h - game_h);\\n\\t\\t\\n\\t\\tpopulate_option_buttons(create_options);\\n\\t\\t\\n\\t\\tobj_create(create_options);\\n\\t\\t\\n\\t\\tint border_size = SpriteLoader.gui_borderSize;\\n\\t\\t\\n\\t\\t// The Level display screen.\\n\\t\\tlevel = createEditor(w - game_w - 2*border_size, 0, game_w + 2*border_size, game_h + 2*border_size);\\n\\t\\tobj_create(level);\\n\\t\\t\\n\\t\\t// Import the specifications for the object list.\\n\\t\\tEntitySelector selector_spec = getEntitySelector();\\n\\t\\t\\n\\t\\tselector_spec.populate_potential_objects(obj_selector);\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"beb6c54de597f4cf5e3fd60ffb156537\",\n \"score\": \"0.6097013\",\n \"text\": \"private void processObjects() {\\n\\t\\tautomaticObject.updateWorld();\\n\\t\\tkeyboardObject.updateWorld();\\n\\t\\tmouseObject.updateWorld();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0fd49f50e4a8b737248ab68244de637e\",\n \"score\": \"0.6095827\",\n \"text\": \"public void moveSkyObjects() {\\r\\n ArrayList<SkyObject> tempArray;\\r\\n SkyObject temp;\\r\\n\\r\\n for (int hashMapIndex = 0; hashMapIndex < layers.size(); hashMapIndex++) {\\r\\n for (int arrayIndex = 0; arrayIndex < layers.get(hashMapIndex).size(); arrayIndex++) {\\r\\n tempArray = layers.get(hashMapIndex);\\r\\n temp = layers.get(hashMapIndex).get(arrayIndex);\\r\\n temp.moveBy(temp.velocity.x, temp.velocity.y);\\r\\n if (temp.getX() > 550) {\\r\\n layers.get(hashMapIndex).remove(arrayIndex);\\r\\n } else {\\r\\n tempArray.set(arrayIndex, temp);\\r\\n layers.put(hashMapIndex, tempArray);\\r\\n }\\r\\n }\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74ab5d1dc685578edd834212f1ad1d56\",\n \"score\": \"0.60439986\",\n \"text\": \"public void move(){\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd195b33acc38b2b2527602b8db1da2f\",\n \"score\": \"0.59916776\",\n \"text\": \"static void update_mdest(Thing obj) {\\n for (OriginalMonster mp : Global.mlist) {\\n if (mp.getRunPosition().equals(obj.getOPos())) {\\n mp.setRunPosition(Global.player._t_pos);\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ec658122a365fe58aa30b2a6e9262ea2\",\n \"score\": \"0.5983565\",\n \"text\": \"public void setMovables() {\\n\\n stack.getChildren().clear();\\n stack2.getChildren().clear();\\n\\n for (County c : world.getCounties().values()) {\\n int x = c.getCenterX();\\n int y = c.getCenterY();\\n if(c.getOwner() == null) {\\n System.out.println(\\\"Game: COUNTY HAS NO OWNER \\\" + c.getName());\\n return;\\n }\\n if(c.getOwner().getLordinfo() == null) {\\n System.out.println(\\\"Game: COUNTY OWNER HAS NO LORD INFO \\\" + c.getName());\\n System.out.println(\\\" owner name is: \\\" + c.getOwner().getName());\\n return;\\n }\\n if(c.getOwner().getLordinfo().getColor() == null) {\\n System.out.println(\\\"Game: COUNTY OWNER HAS NO COLOR \\\" + c.getName());\\n return;\\n }\\n Color circCol = c.getOwner().getLordinfo().getColor();\\n\\n Circle circ = new Circle(15);\\n Circle circ2 = new Circle(5);\\n circ2.setFill(circCol);\\n\\n circCol = Color.web(circCol.toString(), 0.5);\\n circ.setFill(circCol);\\n\\n Pane ownerColor = new Pane();\\n ownerColor.setLayoutX(x);\\n ownerColor.setLayoutY(y);\\n ownerColor.getChildren().addAll(circ, circ2);\\n\\n stack.getChildren().add(ownerColor);\\n\\n int addX = 25;\\n int addY = 5;\\n\\n for (Unit u : c.getUnitsAt()) {\\n Text text = new Text(String.valueOf(u.getThousands()));\\n text.setX(5);\\n text.setY(20);\\n text.setStyle(\\\"-fx-font-size: 20px;\\\");\\n text.setBoundsType(TextBoundsType.VISUAL);\\n Pane unitPane = new Pane();\\n unitPane.setLayoutX(x + addX);\\n unitPane.setLayoutY(y + addY);\\n\\n Rectangle r = new Rectangle(20, 25);\\n r.setFill(u.getColor());\\n unitPane.getChildren().addAll(r, text);\\n\\n stack2.getChildren().add(unitPane);\\n\\n addX += 25;\\n\\n unitPane.setOnMouseClicked(event -> {\\n unitClicked = u;\\n selected = true;\\n startArmyScreen();\\n });\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ec398b904ccef155dade2d2cc218b2f6\",\n \"score\": \"0.5970504\",\n \"text\": \"public void Move(Vec2 amount)\\n {\\n Double newX = _position.x + amount.x;\\n Double newY = _position.y + amount.y;\\n\\n //Making sure the game object stays within the screen bounds \\n if((newX > 0) && (newX < _pane.getWidth()))\\n _position.x += amount.x;\\n\\n if((newY > 0) && (newY < _pane.getHeight()))\\n _position.y += amount.y;\\n\\n //Moving each line that makes up the object \\n for(int i = 0; i < components.size(); i++)\\n {\\n if((newX > 0) && (newX < _pane.getWidth()))\\n {\\n components.get(i).setStartX(components.get(i).getStartX() + amount.x);\\n components.get(i).setEndX(components.get(i).getEndX() + amount.x);\\n }\\n\\n if((newY > 0) && (newY < _pane.getHeight()))\\n {\\n components.get(i).setStartY(components.get(i).getStartY() + amount.y);\\n components.get(i).setEndY(components.get(i).getEndY() + amount.y); \\n } \\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"916726b9e219fb74de64fa1c1925a1da\",\n \"score\": \"0.5945192\",\n \"text\": \"public void move() {\\n forEach(Sprite::move);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b2e97908c309825b8311c2404b452917\",\n \"score\": \"0.59296685\",\n \"text\": \"public static void main(String[] args) {\\n\\n ArrayList<Movable> objects = new ArrayList<>();\\n objects.add(new MovablePoint(5, 6));\\n for (Movable movable : objects) {\\n movable.move(5, -56);\\n System.out.println(movable);\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d98f74e17cec56b3464ae29ec587e9f6\",\n \"score\": \"0.5897842\",\n \"text\": \"private void moveElements()\\n {\\n LogHelper.e(TAG, \\\"Speed: \\\" + speed);\\n execMove(obstacles, speed, playerXPos);\\n execMove(birds, speed, playerXPos);\\n execMove(grounds, speed, playerXPos);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"44c30d5d29c6ae0fda4469691f0ab7fe\",\n \"score\": \"0.5894444\",\n \"text\": \"@Override\\r\\n public void run() {\\n moveGameObjects();\\r\\n\\r\\n executeCmds();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"44d4813950e6eba581b5ff08a39ba0d1\",\n \"score\": \"0.58646995\",\n \"text\": \"public void move()\\n {\\n // remove from universe at the current position\\n machine.erase(this); //this = current object\\n if (!isRemoved)\\n {\\n\\n // compute new position\\n currentYLocation += speedYTravel;\\n currentXLocation += speedXTravel;\\n \\n // collision checking\\n wallCollision();\\n machine.objectCollisionCheck(this);\\n \\n // speed limiter\\n // x Speed\\n if (speedXTravel > speedLimit)\\n {\\n speedXTravel = speedLimit;\\n }\\n else if (speedXTravel < -speedLimit)\\n {\\n speedXTravel = -speedLimit;\\n }\\n // y Speed\\n if (speedYTravel > speedLimit)\\n {\\n speedYTravel = speedLimit;\\n }\\n else if (speedYTravel < -speedLimit)\\n {\\n speedYTravel = -speedLimit;\\n }\\n \\n \\n // draw again at new position\\n machine.draw(this);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5929a9f8eca65dcadf79086c1b79967a\",\n \"score\": \"0.5836948\",\n \"text\": \"public void moveAll() {\\n int width = getWidth();\\n int height = getHeight();\\n for (Affirm a : affirms) {\\n // random values in the range –SPEED ... +SPEED\\n int dx = rand.nextInt(2 * SPEED + 1) - SPEED;\\n int dy = rand.nextInt(2 * SPEED + 1) - SPEED;\\n a.move(dx, dy);\\n if (!a.isWithin(width, height)) {\\n a.setLocation(rand.nextInt(width), rand.nextInt(height));\\n }\\n }\\n repaint();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0e02056c66f554e3895a2ab3461c07b\",\n \"score\": \"0.58299106\",\n \"text\": \"@Test\\n public void testMoveWindow() throws InterruptedException\\n {\\n System.out.println(\\\"moveWindow\\\");\\n LinuxWindowManager instance = new LinuxWindowManager();\\n Window w = instance.findWindow(\\\"NetBeans\\\");\\n int x = 37;\\n int y = 75;\\n instance.moveWindow(w, x, y);\\n Thread.sleep(1000);\\n Rectangle r = instance.getWindowRect(w);\\n assertEquals(x, r.x);\\n assertEquals(y, r.y);\\n x = 12;\\n y = 27;\\n instance.moveWindow(w, x, y);\\n Thread.sleep(1000);\\n r = instance.getWindowRect(w);\\n assertEquals(x, r.x);\\n assertEquals(y, r.y);\\n x = 102;\\n y = 207;\\n instance.moveWindow(w, x, y);\\n Thread.sleep(1000);\\n r = instance.getWindowRect(w);\\n assertEquals(x, r.x);\\n assertEquals(y, r.y);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bb05150f614a25d063079a2c11e2c7f5\",\n \"score\": \"0.58271855\",\n \"text\": \"private void moveEachUnit() {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3027c76f43b0b3904a83f8f2d3ec654c\",\n \"score\": \"0.58271384\",\n \"text\": \"@Override\\n public void run() {\\n\\n\\n player.set();\\n for(Wall wall: walls) wall.set(cameraX);\\n // remove walls as they move left offscreen\\n for(int i = 0; i < walls.size(); i++) {\\n if(walls.get(i).x < -800) walls.remove(i);\\n }\\n for(int i = 0; i < asteroids.size(); i++) {\\n\\n }\\n\\n // should have repaint at end of this run method\\n repaint();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a3078bedf65ce9a9e149cd39b6fd80a6\",\n \"score\": \"0.57821083\",\n \"text\": \"public void move() {\\n\\t\\tthis.setXLoc(this.getXLoc() + getIncr(max, global));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bb1721d5261dd869ed3704e561f9ac03\",\n \"score\": \"0.577762\",\n \"text\": \"public void move(){\\n\\t\\t// changeToNextFrame();\\n\\t\\t// Its more efficient if only the classes that need this implement it in their move method.\\n\\t\\t\\n\\t\\tx+= speedX;\\n\\t\\ty+= speedY;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"70a37cd52c79e9b3566603cd50beb8b3\",\n \"score\": \"0.5773078\",\n \"text\": \"private synchronized void mover(){\\n\\t\\tbrazuca.addJugador( this );\\n\\t\\t//brazuca.moverJugadores();\\n\\t\\tbrazuca.mover();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e054050071d465eb2b945de42e1ff655\",\n \"score\": \"0.5768674\",\n \"text\": \"@Override\\r\\n\\tpublic void move() {\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a45a2cfcbfe61626fd8163ff0a0b5ebc\",\n \"score\": \"0.5743702\",\n \"text\": \"public void moveAllPieces() {\\n\\t\\t// asteroid\\n\\t\\tListIterator<ExistIn2D> asteroidListItr = asteroids.listIterator();\\n\\t\\twhile(asteroidListItr.hasNext()) {\\n\\t\\t\\tAsteroid asteroid = (Asteroid) asteroidListItr.next();\\n\\t\\t\\tasteroid.move();\\n\\t\\t}\\n\\t\\t\\n\\t\\t// rockets\\n\\t\\tListIterator<ExistIn2D> rocketListItr = rockets.listIterator();\\n\\t\\twhile(rocketListItr.hasNext()) {\\n\\t\\t\\tRocket rocket = (Rocket) rocketListItr.next();\\n\\t\\t\\trocket.move();\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cb28cae4897c6fa2ef8cd53931c6e319\",\n \"score\": \"0.5742989\",\n \"text\": \"@Override\\r\\n\\tpublic void move() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"114a5027c338de2c04ee48a81858e773\",\n \"score\": \"0.5736641\",\n \"text\": \"public void move();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8cf0564825a12d82013d96f183df0da2\",\n \"score\": \"0.5712672\",\n \"text\": \"@Override\\r\\n\\tpublic void next() {\\r\\n\\t\\tSet<WorldElement> s = simulateur.step();\\r\\n\\t\\tfor (WorldElement c : s) {\\r\\n\\t\\t\\twindow.update(c);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"31a12f34fea044f63ab009f1fe38571b\",\n \"score\": \"0.5712343\",\n \"text\": \"void moveAllPlates();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f16e2548f318df86fd92cbc8830c7e7\",\n \"score\": \"0.56816\",\n \"text\": \"public void run() {\\r\\n\\t\\tmove();\\r\\n\\t\\tmove();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e8f85f5dffa8836fa1fd8d9d12a34888\",\n \"score\": \"0.56811124\",\n \"text\": \"private void move(){\\n this.killEnemies();\\n for (int i = 0; i < this.enemies.size(); i++){\\n this.enemies.get(i).move(this.gameVelocity);\\n }\\n if (this.backRect.y >= -10){\\n this.backRect.setLocation(0, -950);\\n }\\n this.backRect.y += this.gameVelocity;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b954a704a2bb18dcdd83612a15dc4bca\",\n \"score\": \"0.5681071\",\n \"text\": \"private void updateGUIPositions(int xDiv, int yDiv){\\n for(GUIObject obj : this.drawnGUIObjects){\\n obj.setPosition(obj.coordX + xDiv, obj.coordY + yDiv);\\n obj.updateDimensions();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f28967ff45e2173bbc168ba9880e0ea\",\n \"score\": \"0.5671107\",\n \"text\": \"public void clickMove() {\\n\\t\\tcontroller.move();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f584c470d3e71aebf1f40970b3ed8685\",\n \"score\": \"0.56652236\",\n \"text\": \"public void moveAndDraw(Graphics window)\\n {\\n\\t \\n\\t draw(window, Color.WHITE);\\n setX(getX()+xSpeed);\\n\\t\\t//setY\\n setY(getY()+ySpeed);\\n\\t\\t//draw the ball at its new location\\n draw(window);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d49e33f05b55df15317afe51f72b7428\",\n \"score\": \"0.5649678\",\n \"text\": \"private void updatePositions(int elapsedTime)\\n\\t{\\n\\t\\t//Telling all movable objects in gameWorldCollection to update their positions\\n\\t\\ttheElements = gameWorldCollection.getIterator();\\n\\t while(theElements.hasNext())\\n\\t {\\n\\t \\tholdObject = theElements.getNext();\\n\\t if(holdObject instanceof MovableObject)\\n\\t {\\n\\t MovableObject mobj = (MovableObject)holdObject;\\n\\t\\t\\t mobj.move(elapsedTime);\\n\\t }\\n\\t }\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3ac06675d90e1ace6464dc2accbd558c\",\n \"score\": \"0.56496644\",\n \"text\": \"public void moveZombies()\\n {\\n int min = -8;\\n int max = 8;\\n int newX;\\n int newY;\\n for(int x = 0; x < N; x++)\\n {\\n int oldX = turtle[x].getXLocation();\\n int oldY = turtle[x].getYLocation();\\n\\n newX = min + (int)(Math.random() * ((max - min)+1));\\n if ((oldX+newX < 0) || (oldX+newX >= width)) \\n newX = 0;\\n newY = min + (int)(Math.random() * ((max - min)+1));\\n if ((oldY+newY < 0) || (oldY+newY >= width)) \\n newY = 0;\\n\\n tLocations[oldX][oldY] = -1;\\n tLocations[oldX+newX][oldY+newY] = x;\\n turtle[x].setLocation(oldX+newX, oldY+newY);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"81038b32d1824931b725779545492d95\",\n \"score\": \"0.5640727\",\n \"text\": \"abstract public void mouseSobreObjecto(World w);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a27d4c339ddd30c3438211b7fa961e24\",\n \"score\": \"0.56331444\",\n \"text\": \"public void move(){\\n for(Bus bus : this.buses){\\n if(!bus.waitOnStop()){\\n if(this.moveWithBus(bus)){\\n bus.getShapes().get(0).setOpacity(0);\\n this.buses.remove(bus);\\n }\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2a72d934a25f6282d939e682086e4e7\",\n \"score\": \"0.56198364\",\n \"text\": \"void moveHorses() {\\n raceManager.moveHorses();\\n for (Horse horse : horses) {\\n switch (horse.getName()) {\\n case \\\"Horse1\\\":\\n horse1.setX(horse.getX());\\n break;\\n case \\\"Horse2\\\":\\n horse2.setX(horse.getX());\\n break;\\n case \\\"Horse3\\\":\\n horse3.setX(horse.getX());\\n break;\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b71c78a01089b6487df17546e6d529d\",\n \"score\": \"0.5613175\",\n \"text\": \"public void run(){\\n maria.move();\\r\\n maria.pickThing();\\r\\n maria.turnLeft();\\r\\n maria.move();\\r\\n maria.pickThing();\\r\\n maria.turnLeft();\\r\\n maria.move();\\r\\n maria.pickThing();\\r\\n \\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"57ef5e73b3415231ffbd2214b2be0e9e\",\n \"score\": \"0.5599287\",\n \"text\": \"public void moveAndDraw(Graphics window) {\\n\\t\\t// draw a white ball at old ball location\\n\\t\\tdrawOver(window);\\n\\t\\tsetX(getX() + xSpeed);\\n\\t\\tsetY(getY() + ySpeed);\\n\\t\\tdraw(window);\\n\\t\\t// setY\\n\\n\\t\\t// draw the ball at its new location\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"98199ff6044e2498b2045309e91bc2e8\",\n \"score\": \"0.55849993\",\n \"text\": \"public void move() {\\n\\t\\tGrid<Actor> gr = getGrid();\\n\\t\\tif (gr == null)\\n\\t\\t\\treturn;\\n\\t\\tLocation loc = getLocation();\\n\\t\\t//if (gr.isValid(next)) {\\n\\t\\tLocation tmp;\\n\\t\\tif (crossLocation.empty()) {\\n\\t\\t\\tcrossLocation.push(getLocation());\\n\\t\\t}\\n\\t\\tsetDirection(getLocation().getDirectionToward(next));\\n\\t\\t\\n\\t\\tcrossLocation.push(next);\\n\\t\\tmoveTo(next);\\n\\t\\tlast = next;\\n\\t\\tnext = null;\\n\\t\\t//} else\\n\\t\\t\\t//removeSelfFromGrid();\\n\\t\\tFlower flower = new Flower(getColor());\\n\\t\\tflower.putSelfInGrid(gr, loc);\\n\\t\\t//System.out.println(\\\"test-move\\\");\\n\\t\\t//System.out.println(crossLocation.size());\\n\\t\\t//System.out.println(crossLocation.toString());\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e16ae18c33d92e233cf8dd56ac25af81\",\n \"score\": \"0.55800396\",\n \"text\": \"@Override\\n\\tpublic void move() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e16ae18c33d92e233cf8dd56ac25af81\",\n \"score\": \"0.55800396\",\n \"text\": \"@Override\\n\\tpublic void move() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e16ae18c33d92e233cf8dd56ac25af81\",\n \"score\": \"0.55800396\",\n \"text\": \"@Override\\n\\tpublic void move() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"032c5dcc4cbf3698844a71da612fa5cc\",\n \"score\": \"0.5570059\",\n \"text\": \"private void move() {\\n tail.setLocation(tail.getX() + deltaX, tail.getY() + deltaY);\\n displayTail = canvas.translateActualtoMovingDisplay(tail);\\n leader.setLocation(leader.getX() + deltaX, leader.getY() + deltaY);\\n displayLeader = canvas.translateActualtoMovingDisplay(leader);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac8357e47f68186dd2db23feae86989f\",\n \"score\": \"0.5558196\",\n \"text\": \"private void move()\\n {\\n setLocation(getX()+delta, getY());\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a4911643cab7cb09590e839ae4999a30\",\n \"score\": \"0.55538344\",\n \"text\": \"private void addGameObject(GameModel object, double x, double y){\\n object.getView().setTranslateX(x);\\n object.getView().setTranslateY(y);\\n root.getChildren().add(object.getView());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0493729b9deb8b457f10938885152042\",\n \"score\": \"0.55513084\",\n \"text\": \"public void moveButton () {\\r\\n int random = (int)(Math.random()*100);\\r\\n for(int i = 0; i < random; i++)\\r\\n screen.add(new JLabel());\\r\\n screen.add(randomMovingButton);\\r\\n for(int i = random; i < 100; i++)\\r\\n screen.add(new JLabel());\\r\\n frame.add(screen);\\r\\n frame.revalidate();\\r\\n frame.repaint();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f16b514dbf2983dc831f50257ba718d6\",\n \"score\": \"0.55392414\",\n \"text\": \"public void tick(){\\n\\t\\tfor(UIObject o:objects)\\n\\t\\t{\\n\\t\\t\\to.tick();//tick each object\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10adb8588209e30344be429559bcc515\",\n \"score\": \"0.5538643\",\n \"text\": \"@Override\\n\\tpublic void move() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10adb8588209e30344be429559bcc515\",\n \"score\": \"0.5538643\",\n \"text\": \"@Override\\n\\tpublic void move() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10adb8588209e30344be429559bcc515\",\n \"score\": \"0.5538643\",\n \"text\": \"@Override\\n\\tpublic void move() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10adb8588209e30344be429559bcc515\",\n \"score\": \"0.5538643\",\n \"text\": \"@Override\\n\\tpublic void move() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4228738e73b742c424e812b7671e366c\",\n \"score\": \"0.5533465\",\n \"text\": \"public Objects() {\\r\\n\\t\\tRandom rand = new Random();\\r\\n\\t\\tthis.setX(rand.nextFloat() * (690) + 10);\\r\\n\\t\\tthis.setY(rand.nextFloat() * (690) + 10);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1e8ea00e4e041262df9630c40dd08eca\",\n \"score\": \"0.5531371\",\n \"text\": \"void move();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1e8ea00e4e041262df9630c40dd08eca\",\n \"score\": \"0.5531371\",\n \"text\": \"void move();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1e8ea00e4e041262df9630c40dd08eca\",\n \"score\": \"0.5531371\",\n \"text\": \"void move();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1e8ea00e4e041262df9630c40dd08eca\",\n \"score\": \"0.5531371\",\n \"text\": \"void move();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7c696d3d335c31ed748635e41ae4e309\",\n \"score\": \"0.5522044\",\n \"text\": \"void moveAll(double currentTime);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0cc4a5c2d9dbd5ac1461100b1a56cfc3\",\n \"score\": \"0.5521219\",\n \"text\": \"private void createObjects() {\\n // Box Breaker vars\\n //-------------------------------------------\\n\\n int w = gm.screenWidth/4;\\n int h = gm.screenHeight/4;\\n float[] shapeVerts = new float[]{\\n -w/2,h/2,0,\\n w/2,h/2,0,\\n\\n w/2,h/2,0,\\n w/2,-h/2,0,\\n\\n w/2,-h/2,0,\\n -w/2,-h/2,0,\\n\\n -w/2,-h/2,0,\\n -w/2,h/2,0,\\n };\\n\\n gm.shape = new Shape3( gm.screenWidth/2, gm.screenHeight/2, shapeVerts);\\n\\n gm.ball = new Ball(20,gm.screenWidth/2, 30);\\n\\n for (int i=0;i<gm.boxes.length;i++){\\n gm.boxes[i] = new Box(gm.mapWidth, gm.mapHeight, -10,-10);\\n }\\n\\n //-------------------------------------------\\n\\n\\n // Some stars\\n gm.stars = new Star[gm.numStars];\\n for (int i = 0; i < gm.numStars; i++) {\\n\\n // Pass in the map size so the stars no where to spawn\\n gm.stars[i] = new Star(gm.mapWidth, gm.mapHeight);\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd34700fd1087af08058c436e30390a7\",\n \"score\": \"0.5509475\",\n \"text\": \"@Override\\n\\t\\tpublic void actionPerformed(ActionEvent e) {\\n\\n\\t\\t\\tif (e.getSource() == Window.newGame) {\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tMonstersArray[0] = MBattleSwing.Tony;\\n\\t\\t\\t\\tMonstersArray[1] = MBattleSwing.John;\\n\\t\\t\\t\\tMonstersArray[2] = MBattleSwing.Jack;\\n\\t\\t\\t\\tMonstersArray[3] = MBattleSwing.Cat;\\n\\t\\t\\t\\tMonstersArray[4] = MBattleSwing.Zach;\\n\\t\\t\\t\\tMonstersArray[5] = MBattleSwing.Thomas;\\n\\t\\t\\t\\tMonstersArray[6] = MBattleSwing.David;\\n\\t\\t\\t\\tMonstersArray[7] = MBattleSwing.Vincent;\\n\\t\\t\\t\\tMonstersArray[8] = MBattleSwing.Gina;\\n\\t\\t\\t\\tMonstersArray[9] = MBattleSwing.Alex;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tMonster.buildBattleBoard();\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tfor (Monster aMonster : MonstersArray) {\\n\\n\\t\\t\\t\\t\\taMonster.resetMonsters(MonstersArray);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tWindow.textBox.setText(\\\"\\\");\\n\\t\\t\\t\\t\\n\\t\\t\\t\\twhile (Monster.numOfMonsters > 1) {\\n\\t\\t\\t\\t\\tif(!waitForNext){\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tMonstersArray[0] = MBattleSwing.Tony;\\n\\t\\t\\t\\t\\tMonstersArray[1] = MBattleSwing.John;\\n\\t\\t\\t\\t\\tMonstersArray[2] = MBattleSwing.Jack;\\n\\t\\t\\t\\t\\tMonstersArray[3] = MBattleSwing.Cat;\\n\\t\\t\\t\\t\\tMonstersArray[4] = MBattleSwing.Zach;\\n\\t\\t\\t\\t\\tMonstersArray[5] = MBattleSwing.Thomas;\\n\\t\\t\\t\\t\\tMonstersArray[6] = MBattleSwing.David;\\n\\t\\t\\t\\t\\tMonstersArray[7] = MBattleSwing.Vincent;\\n\\t\\t\\t\\t\\tMonstersArray[8] = MBattleSwing.Gina;\\n\\t\\t\\t\\t\\tMonstersArray[9] = MBattleSwing.Alex;\\n\\n\\t\\t\\t\\t\\tfor (Monster objMonsterAlive : MonstersArray) {// goes\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// through\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// MonstersArray\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// and sets\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// the\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// mobnsrter\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// to obj\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// Monster\\n\\t\\t\\t\\t\\t\\tif (objMonsterAlive.getAlive()) {// checks in that\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// monster is allive\\n\\t\\t\\t\\t\\t\\t\\tobjMonsterAlive.moveMonster(MonstersArray);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\tfor (Monster objMonster : MonstersArray) {// goes through\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// list of\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// monsters\\n\\t\\t\\t\\t\\t\\tif (objMonster.getAlive()) {// if moster is alive\\n\\n\\t\\t\\t\\t\\t\\t\\tint x = objMonster.xPosition;\\n\\t\\t\\t\\t\\t\\t\\tint y = objMonster.yPosition;\\n\\n\\t\\t\\t\\t\\t\\t\\tif (x >= 0 && x <= 9 && y + 1 >= 0 && y + 1 <= 9\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t&& Monster.battleBoard[y + 1][x] != '*') {// if\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// moster\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// above\\n\\n\\t\\t\\t\\t\\t\\t\\t\\tfor (Monster objFindMonster : MonstersArray) {// find\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// moster\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// thats\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// there\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tint findX = objFindMonster.xPosition;\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tint findY = objFindMonster.yPosition;\\n\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tif (x == findX && y + 1 == findY) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tobjFindMonster.setHealth(objMonster\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.getAttack());\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tSystem.out.println(objFindMonster.name\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t+ \\\" was attacked by UP \\\"\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t+ objMonster.name);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t\\t\\tif (x >= 0 && x <= 9 && y - 1 >= 0 && y - 1 <= 9\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t&& Monster.battleBoard[y - 1][x] != '*') {// if\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// monster\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// below\\n\\n\\t\\t\\t\\t\\t\\t\\t\\tfor (Monster objFindMonster : MonstersArray) {// find\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// moster\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// thats\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// there\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tint findX = objFindMonster.xPosition;\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tint findY = objFindMonster.yPosition;\\n\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tif (x == findX && y - 1 == findY) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tobjFindMonster.setHealth(objMonster\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.getAttack());\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tSystem.out.println(objFindMonster.name\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t+ \\\" was attacked by DOWN \\\"\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t+ objMonster.name);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t\\t\\tif (x + 1 >= 0 && x + 1 <= 9 && y >= 0 && y <= 9\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t&& Monster.battleBoard[y][x + 1] != '*') {// if\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// moster\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// to\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// right\\n\\n\\t\\t\\t\\t\\t\\t\\t\\tfor (Monster objFindMonster : MonstersArray) {// find\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// moster\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// thats\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// there\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tint findX = objFindMonster.xPosition;\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tint findY = objFindMonster.yPosition;\\n\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tif (x + 1 == findX && y == findY) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tobjFindMonster.setHealth(objMonster\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.getAttack());\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tSystem.out.println(objFindMonster.name\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t+ \\\" was attacked by RIGHT \\\"\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t+ objMonster.name);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t\\t\\tif (x - 1 >= 0 && x - 1 <= 9 && y >= 0 && y <= 9\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t&& Monster.battleBoard[y][x - 1] != '*') {// if\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// moster\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// to\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// left\\n\\n\\t\\t\\t\\t\\t\\t\\t\\tfor (Monster objFindMonster : MonstersArray) {// find\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// moster\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// thats\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// there\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tint findX = objFindMonster.xPosition;\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tint findY = objFindMonster.yPosition;\\n\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tif (x - 1 == findX && y == findY) {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tobjFindMonster.setHealth(objMonster\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.getAttack());\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tSystem.out.println(objFindMonster.name\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t+ \\\" was attacked by LEFT \\\"\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t+ objMonster.name);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t\\t}// if alive\\n\\t\\t\\t\\t\\t}// for statement\\n\\t\\t\\t\\t\\t\\n\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"\\\\n\\\" + gameNumber + \\\":\\\");\\n\\t\\t\\t\\t\\tMonster.redrawBoard();\\n\\t\\t\\t\\t\\tgameNumber++;\\n\\n\\t\\t\\t\\t\\tfor (Monster objMonster : MonstersArray) {\\n\\t\\t\\t\\t\\t\\tif (objMonster.getHealth() <= 0) {\\n\\t\\t\\t\\t\\t\\t\\tobjMonster.alive = false;\\n\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t\\tif (objMonster.getAlive() == false\\n\\t\\t\\t\\t\\t\\t\\t\\t&& objMonster.alreadyDead == false) {\\n\\n\\t\\t\\t\\t\\t\\t\\tSystem.out.println(objMonster.name + \\\" is Dead!\\\");\\n\\t\\t\\t\\t\\t\\t\\tobjMonster.orderDead = orderDead;\\n\\t\\t\\t\\t\\t\\t\\torderDead++;\\n\\n\\t\\t\\t\\t\\t\\t\\tMonster.numOfMonsters--;\\n\\t\\t\\t\\t\\t\\t\\tobjMonster.alreadyDead = true;\\n\\t\\t\\t\\t\\t\\t\\tdeathStop = true;\\n\\n\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t\\tif (objMonster.getAlive()) {\\n\\t\\t\\t\\t\\t\\t\\tSystem.out.println(objMonster.name + \\\" \\\"\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t+ objMonster.getHealth());\\n\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t}\\n/*\\n\\t\\t\\t\\t\\tif (Window.stopEveryTime.isSelected() || (Window.stopDeath.isSelected() && deathStop)) {\\n\\t\\t\\t\\t\\t\\twaitForNext = true;\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t}*/\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t}else{\\n\\t\\t\\t\\t\\tif(e.getSource() == Window.next){\\n\\t\\t\\t\\t\\t\\twaitForNext = false;\\n\\t\\t\\t\\t\\t\\tdeathStop = false;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t}// while loop\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\n\\t\\t\\t\\tif (Monster.numOfMonsters == 0) {\\n\\n\\t\\t\\t\\t\\tfor (Monster objMonster : MonstersArray) {\\n\\n\\t\\t\\t\\t\\t\\tif (Monster.totalNumMonsters - objMonster.orderDead == 0) {\\n\\t\\t\\t\\t\\t\\t\\tname1 = objMonster.name;\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t} else if (Monster.totalNumMonsters\\n\\t\\t\\t\\t\\t\\t\\t\\t- objMonster.orderDead == 1) {\\n\\t\\t\\t\\t\\t\\t\\tname2 = objMonster.name;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"\\\\nTIE:\\\\n\\\" + name1 + \\\"\\\\n\\\" + name2);\\n\\n\\t\\t\\t\\t} else {\\n\\n\\t\\t\\t\\t\\tfor (Monster objMonster : MonstersArray) {// gets last one\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t// alive\\n\\t\\t\\t\\t\\t\\tif (objMonster.getAlive()) {\\n\\t\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"\\\\nWINNER: \\\" + objMonster.name);\\n\\t\\t\\t\\t\\t\\t\\tbreak;\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6285872e30649006b4d9401224a020d4\",\n \"score\": \"0.55074036\",\n \"text\": \"@Test\\n void move() {\\n Room room = TestUtils.createSimpleRoom(4,4,1);\\n Tile[][] tiles = room.getTiles();\\n Character testObject = createBaseCharacter(\\\"Foo\\\", 2, 2);\\n addCharacter(room, 1, 1, testObject);\\n testObject.move(room.getNextTile(testObject.tile, new Direction(0,1 )));\\n assertEquals(tiles[1][2], testObject.tile);\\n testObject.move(room.getNextTile(testObject.tile, new Direction(0,-1 )));\\n assertEquals(tiles[1][1], testObject.tile);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"044df94d7b7ab19efe14caa0e80d3baf\",\n \"score\": \"0.55017865\",\n \"text\": \"public void move(Object object, Barline intersect) {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fc9702204cd8c3dd0d0f92013c5e01e5\",\n \"score\": \"0.54860103\",\n \"text\": \"private void move() {\\n\\t\\tupdate();\\n\\t\\trerender();\\n\\t\\tif (this.hasReachedCandy)\\n\\t\\t\\tthis.foundCandy.rerender();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"26056ea6303b4fd87e9eca413fd36ddc\",\n \"score\": \"0.54814476\",\n \"text\": \"public void moveBots() {\\r\\n\\t\\tfor (int i = 0; i < bots.length; i++) {\\r\\n\\t\\t\\tbots[i].move(1);\\r\\n\\t\\t}\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"26a36ba42e8302a48b980f46a6da2e45\",\n \"score\": \"0.54811484\",\n \"text\": \"public void move() {\\n\\t\\tsuper.x[0] += (wind.getXFactor());\\n\\t\\tsuper.y[0] += (wind.getYFactor());\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"34980b6a2eefa60d38dc307cf112e9e2\",\n \"score\": \"0.5461043\",\n \"text\": \"@Override\\n public void move() {\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d72dff8c7c07e9a1f9755f6452af2425\",\n \"score\": \"0.54568785\",\n \"text\": \"public void actionPerformed(ActionEvent event) {\\n\\t\\t// DO NOT CHANGE the next four lines, and add nothing above them\\n\\t\\tif (! this.window.isValid()) { // the \\\"close window\\\" button\\n\\t\\t\\tthis.gameTimer.stop(); // should stop the timer\\n\\t\\t\\treturn; // and stop doing anything else\\n\\t\\t} \\n\\t\\t// DO NOT CHANGE the previous four lines\\n\\t\\t\\n\\t\\t\\n\\t\\t\\n\\t\\t// TODO: add every-frame logic in here (gravity, momentum, collisions, etc)\\n\\n\\t\\tbird.applyDrag();\\n\\t\\tbird2.applyDrag();\\n\\t\\tbird.gravity();\\n\\t\\tbird2.gravity();\\n\\t\\tbird.bounceIfOutsideOf(boundry, 0.5);\\n\\t\\tbird2.bounceIfOutsideOf(boundry, 0.5);\\n\\t\\tbird.bounceIfInsideOf(Obstacle1, 0.5);\\n\\t\\tbird2.bounceIfInsideOf(Obstacle1, 0.5);\\n\\t\\tbird.bounceIfInsideOf(Obstacle2, 0.5);\\n\\t\\tbird2.bounceIfInsideOf(Obstacle2, 0.5);\\n\\t\\tbird.bounceIfBirdHitsBird(bird2, 0.5);\\n\\t\\tbird2.bounceIfBirdHitsBird(bird, 0.5);\\n\\t\\tbird.makeFlipped(bird2);\\n\\t\\tbird2.makeFlipped(bird);\\n\\t\\t\\n\\t\\t\\n\\t\\t\\n\\t\\t// DO NOT CHANGE the next line; it must be last in this method\\n\\t\\tthis.refreshScreen(); // redraws the screen after things move\\n\\t\\t// DO NOT CHANGE the above line; it must be last in this method\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74c1c3e6ae89b6bf70086595b6105c52\",\n \"score\": \"0.5453411\",\n \"text\": \"public void act() \\n {\\n mover();\\n diminuir(BOLA, bola);\\n if(!apagaObjetos())\\n colisao(this);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b50ac6add9fbd0b90ea2ad486d4d2a6\",\n \"score\": \"0.54446125\",\n \"text\": \"public void moveNorth();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5c664e20347292e025b8510e2ca80acc\",\n \"score\": \"0.54390186\",\n \"text\": \"public static void randomMove(MovableObject objectToMove){\\r\\n\\t\\tint direction = generateRandomNumberWithinSpan(1, 4);\\r\\n\\t\\tobjectToMove.move(direction);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"52569159352d4385574533531a0cdc01\",\n \"score\": \"0.5437968\",\n \"text\": \"@Override\\n\\tpublic void destroy()\\n\\t{\\n\\t\\tMainWindow.score+=40;\\n\\t\\tMainWindow.objs.add(new MidBall((this.velocityX+s),( this.velocityY+s),(int) this.obj.getX(),(int)this.obj.getY()));\\n\\t\\tMainWindow.objs.add(new MidBall((this.velocityX+s), (this.velocityY-s),(int) this.obj.getX(),(int)this.obj.getY()));\\n\\t\\tMainWindow.objs.add(new MidBall((this.velocityX-s), (this.velocityY+s),(int) this.obj.getX(),(int)this.obj.getY()));\\n\\t\\tMainWindow.objs.add(new MidBall((this.velocityX-s), (this.velocityY-s),(int) this.obj.getX(),(int)this.obj.getY()));\\n\\t\\tMainWindow.objs.remove(this);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bda8e07a69db198817f22c7170246eec\",\n \"score\": \"0.54267293\",\n \"text\": \"public void updateShots() {\\r\\n\\t\\tList<Shot> shots = mc.GetShots();\\r\\n\\t\\tfor (int i = 0; i < shots.size(); i++) {\\r\\n\\t\\t\\tShot s = shots.get(i);\\r\\n\\t\\t\\tint direction = s.getDirection();\\r\\n\\t\\t\\tif (s.isVisible())\\r\\n\\t\\t\\t\\tswitch (direction) {\\r\\n\\t\\t\\t\\tcase 0:\\r\\n\\t\\t\\t\\t\\ts.moveUp();\\r\\n\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\tcase 1:\\r\\n\\t\\t\\t\\t\\ts.moveDown();\\r\\n\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\tcase 2:\\r\\n\\t\\t\\t\\t\\ts.moveLeft();\\r\\n\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\tcase 3:\\r\\n\\t\\t\\t\\t\\ts.moveRight();\\r\\n\\t\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\telse\\r\\n\\t\\t\\t\\tshots.remove(i);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bf7dff18bd62529d51b4e8ad10beb775\",\n \"score\": \"0.5423393\",\n \"text\": \"public void stage(GameStage stage) {\\n //Put all the initialized game objects here\\n Rectangle rec = new Rectangle(50, 50);\\n rec.setFill(Color.BLUE);\\n Player object = new Player(\\\"rectangle\\\", rec);\\n object.setX(100);\\n object.setY(0);\\n object.run();\\n \\n \\n\\n// Box object2 = new Box(\\\"rectangle2\\\");\\n// object2.setX(0);\\n// object2.setY(400);\\n// Box object3 = new Box(\\\"rectangle2\\\");\\n// object3.setX(50);\\n// object3.setY(400);\\n// Box object4 = new Box(\\\"rectangle2\\\");\\n// object4.setX(100);\\n// object4.setY(400);\\n// Box object5 = new Box(\\\"rectangle2\\\");\\n// object5.setX(150);\\n// object5.setY(400);\\n// Box object6 = new Box(\\\"rectangle2\\\");\\n// object6.setX(200);\\n// object6.setY(400);\\n// Box object7 = new Box(\\\"rectangle2\\\");\\n// object7.setX(250);\\n// object7.setY(400);\\n// Box object8 = new Box(\\\"rectangle2\\\");\\n// object8.setX(300);\\n// object8.setY(400);\\n// Box object9 = new Box(\\\"rectangle2\\\");\\n// object9.setX(350);\\n// object9.setY(400);\\n// Box object10 = new Box(\\\"rectangle2\\\");\\n// object10.setX(400);\\n// object10.setY(400);\\n// Box object11 = new Box(\\\"rectangle2\\\");\\n// object11.setX(450);\\n// object11.setY(400);\\n// Box object12 = new Box(\\\"rectangle2\\\");\\n// object12.setX(300);\\n// object12.setY(350);\\n// Box object13 = new Box(\\\"rectangle2\\\");\\n// object13.setX(200);\\n// object13.setY(350);\\n// \\n// stage.addObject(object,object2,object3, object4, object5, object6, object7, object8, object9, object10, object11, object12, object13);\\n stage.addObject(randomGeneration());\\n stage.addObject(object);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f581f2b872d1414939d7f222e61d3441\",\n \"score\": \"0.5395989\",\n \"text\": \"public void moveShots(){\\n\\t\\tfor (int i=0;i<eShots.size();i++){\\n\\t\\t\\teShots.get(i).move();\\n\\t\\t}\\n\\t\\tfor (int i=0;i<sShots.size();i++){\\n\\t\\t\\tsShots.get(i).move();\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"53d00b818f5a510de5e9be609f2c34fe\",\n \"score\": \"0.5393376\",\n \"text\": \"public void move()\\n {\\n \\n // Grass doesn't move.\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d4d114e5b88cc361a7cc1f41b55bc98d\",\n \"score\": \"0.5392372\",\n \"text\": \"void setToCurrentBox(int index, Domino domino , int playerID);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2bb4bf03bbeea8b95cc0506b6af37a48\",\n \"score\": \"0.5391355\",\n \"text\": \"private static void moveRobots(Container objectContainer) {\\n\\t\\tobjectContainer.getPairRobotInstructions().forEach(\\n\\t\\t\\t\\tpair -> moveRobot(pair));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"608b03705ab3030cbd36e80f1e3df89a\",\n \"score\": \"0.539129\",\n \"text\": \"public void act() \\n {\\n int px=this.getX();\\n int py=this.getY();\\n \\n int nuevoX=incX+px;\\n int nuevoY=incY+py;\\n World mundo = this.getWorld();\\n Greenfoot.delay(1000);\\n if(this.isTouching(Jugador1.class) || this.isTouching(Jugador2.class)){\\n if(randomX == 0){\\n incX = -incX; \\n }\\n else if(randomX == 1){\\n incX = -incX; \\n }\\n else if(randomY == 0){\\n incY = -incY; \\n }\\n else if(randomY == 1){\\n incY = -incY; \\n }\\n \\n }\\n else if(nuevoY > mundo.getHeight()){ //Rebota en la parte de abajo :o\\n mundo.removeObject(this);\\n \\n }\\n else if(nuevoY < 0){ //Rebota en la parte de arriba \\n mundo.removeObject(this);\\n }\\n else if(nuevoX > mundo.getWidth()){ //Rebota pa' la derecha\\n incX=-incX;\\n }\\n else if(nuevoX < 0){ //Rebota en la parte de izquierda\\n incX=-incX;\\n }\\n\\n \\n this.setLocation(nuevoX,nuevoY);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b28b1417ccf0ef0c3c7a376287a1fdd9\",\n \"score\": \"0.537937\",\n \"text\": \"public void act() \\n { \\n List<Person> people =\\n (List<Person>) getIntersectingObjects(Person.class);\\n \\n for (Person person : people) {\\n person.infect();\\n }\\n \\n move(1);\\n \\n if (isAtEdge()) {\\n faceRandomDirection();\\n }\\n \\n if (stepsActive > STEPS_ACTIVE) {\\n getWorld().removeObject(this);\\n }\\n \\n stepsActive++;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b76beb15096cc315215ee7b0f8d93527\",\n \"score\": \"0.53596133\",\n \"text\": \"@Override\\n public void move() {\\n moveTo(xMax / 2, yMax / 2);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1435b21071e9195a4af635f3b4c520d2\",\n \"score\": \"0.53589284\",\n \"text\": \"private void doRunnableUpdate()\\n {\\n doModified();\\n ( (TapTube) currentObject.object ).setShape( null );\\n ObjectInfo info = currentObject.duplicate();\\n info.object = currentObject.object.duplicate();\\n\\n Vec3 size = info.object.getBounds().getSize();\\n info.coords.setOrigin( new Vec3( 0, size.y / 2, 0 ) );\\n\\n ObjectPreviewCanvas opc;\\n sp.add( opc = new ObjectPreviewCanvas( info ), 1 );\\n opc.setPreferredSize( new Dimension( 250, 250 ) );\\n\\n repaint();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1258c4f00128b3b43cfad9267b33d5e6\",\n \"score\": \"0.5358713\",\n \"text\": \"public void select(String objName){\\n\\n //remove previous objects on the world\\n world.clear();\\n\\n //add the selected object to the world\\n world.add((Object3D)objectList.get(objName));\\n\\n //refresh the painting\\n //repaint();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d8a0a1c0ad209b360c183e28cb7ed9ad\",\n \"score\": \"0.535789\",\n \"text\": \"public void setMoverScreenCoords() {\\r\\n mShape.setScreenCoords(getWindowCoords(mShape.getPos()));\\r\\n for (LightPoint light : mOnLights) {\\r\\n light.setScreenCoords(getWindowCoords(light.getPos()));\\r\\n }\\r\\n if (mGravCircleCount > 1) {\\r\\n mMobRing.setScreenCoords(getWindowCoords(mMobRing.getPos()));\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7ea956617fdeded1fd1fa0a5fc3c1a9e\",\n \"score\": \"0.5356288\",\n \"text\": \"@Override\\n public void move() {\\n if (!fleetDown){\\n move();\\n for (Vehicle c : vehicles){\\n c.getPosition().setLocation(getPosition().x, getPosition().y);\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b254eb65d8720d3b8d15c4650a17b7e\",\n \"score\": \"0.5351837\",\n \"text\": \"@Override\\r\\n\\tpublic void actionPerformed(ActionEvent e) {\\r\\n\\t\\tlong beforeTime = System.nanoTime();\\r\\n\\t\\tfor (int i = 0; i < shapeList.size(); i++) {\\r\\n\\t\\t\\tshapeList.get(i).moveShape();\\r\\n\\t\\t}\\r\\n\\t\\trepaint();\\r\\n\\t\\tsleepTime = delay - ((System.nanoTime() - beforeTime) / 1000000L);\\r\\n\\t\\ttry {\\r\\n\\t\\t\\t// actual sleep code\\r\\n\\t\\t\\tif (sleepTime > 0) {\\r\\n\\t\\t\\t\\tThread.sleep(sleepTime);\\r\\n\\t\\t\\t}\\r\\n\\t\\t} catch (InterruptedException ex) {\\r\\n\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b3d956b59df9edcb9aeef6e709ffe0bf\",\n \"score\": \"0.5350325\",\n \"text\": \"void moveToSubjectSpace() {\\n // Since the text \\\"owned\\\" by the axes must precede the axes,\\n // the dimensionality is not defined yet. So we assume 3D.\\n // This is not a problem for Text due to the \\\"Fundamental 2D/3D\\n // Approximation\\\" which is \\\"For all Drawables except Pointset, the\\n // Z-coordinate is allocated and GUI controls are created.\\n // In 2D are they made invisible to the user, but still exist.\\\"\\n for (int a = 0; a < 3; a++) {\\n if (moving) {\\n start[a] -= session.plotManager.subject.cumDelta[a];\\n min[a] -= session.plotManager.subject.cumDelta[a];\\n max[a] -= session.plotManager.subject.cumDelta[a];\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dc64a3240e24ec16f2e82b740a46c7b6\",\n \"score\": \"0.5346656\",\n \"text\": \"void moveAll() {\\n for (Drone d : drones) {\\n d.tryMove(this); //calls the method tryMove\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1c07131963d18cfb4fb344b8aea42f30\",\n \"score\": \"0.5340885\",\n \"text\": \"public void lookAt(DisplayObject obj)\\r\\n\\t{\\r\\n\\t\\tlookAt(obj.getBounds());\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aaa7968899f7cef285ddcc45a99bfbad\",\n \"score\": \"0.53385735\",\n \"text\": \"public void tick()\\r\\n\\t{\\r\\n\\t\\tfor(int i = 0; i < object.size(); i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tGameObject tempObject = object.get(i);\\r\\n\\t\\t\\ttempObject.tick();\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b38c78b63bc1ea3f1e68f6de9b91380d\",\n \"score\": \"0.53382033\",\n \"text\": \"void doMovement();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"adf669c75832c20f7a23989ea40b17d8\",\n \"score\": \"0.53258955\",\n \"text\": \"@Override//重写父类方法\\n\\tpublic void move() {\\n\\t\\tsuper.move();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"14111d8948200a2fb542ace98d2cbd17\",\n \"score\": \"0.5325815\",\n \"text\": \"private void resetAllObjects() {\\n objectsRemaining = 16;\\n if (nextObjIsInfested) {\\n obj001.setImageResource(objectWebbedImg);\\n } else {\\n obj001.setImageResource(objectImg);\\n }\\n obj002.setImageResource(objectImg);\\n obj003.setImageResource(objectImg);\\n obj004.setImageResource(objectImg);\\n obj005.setImageResource(objectImg);\\n obj006.setImageResource(objectImg);\\n obj007.setImageResource(objectImg);\\n obj008.setImageResource(objectImg);\\n obj009.setImageResource(objectImg);\\n obj010.setImageResource(objectImg);\\n obj011.setImageResource(objectImg);\\n obj012.setImageResource(objectImg);\\n obj013.setImageResource(objectImg);\\n obj014.setImageResource(objectImg);\\n obj015.setImageResource(objectImg);\\n obj016.setImageResource(objectImg);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c110291114677b3a98e4aa21b5b935a0\",\n \"score\": \"0.5324484\",\n \"text\": \"public void tick() {\\n\\t\\tfor (int i = 0; i < object.size(); i++) {\\n\\t\\t\\tGameObject tempObject = object.get(i);\\n\\t\\t\\t\\n\\t\\t\\ttempObject.tick();\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ecaf2218551ec5eab0d4157eb8557192\",\n \"score\": \"0.5321204\",\n \"text\": \"@Override\\n public void actionPerformed(ActionEvent e) {\\n Iterator iterator = this.getIterator();\\n timeCounterInTicks++;\\n\\n while (iterator.hasNext()) {\\n GameObject obj = (GameObject) iterator.getNext();\\n if (obj instanceof Moveable) {\\n ((Moveable) obj).move(MILISEC_PER_FRAME / 10);\\n doCollisionChecking();\\n doShockWaveChecking();\\n removeUnnecessaryObjects();\\n }\\n }\\n if (this.getTimeInTicks() % 50 == 0 && this.getTimeInTicks() != 0) { /* 50 * 20 = 1000 (1 sec) */\\n resetTimeCounterInTermsOfTicks();\\n seconds++;\\n if (seconds % 10 == 0 && seconds != 0) {\\n switchStrategies();\\n }\\n }\\n notifyObserver();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c6e8f276c65c05c23a295da666a2b2bb\",\n \"score\": \"0.5321017\",\n \"text\": \"public void monedasMonedero(){\\n int x=700;\\n int y=500;\\n for(int i=1;i<5;i++){\\n addObject(new Monedas(\\\"images/moneda\\\"+i+\\\".png\\\"),x,y);\\n x+=60;\\n }\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992498,"cells":{"query_id":{"kind":"string","value":"9a85942b470551588f56e680ad483846"},"query":{"kind":"string","value":"System.out.println(\"enter size\"); int n = s.nextInt();"},"positive_passages":{"kind":"list like","value":[{"docid":"0c5f3c27c6b92f2649a912ab216d9777","score":"0.0","text":"public static long[] takeinput(int n) {\n\t\tlong arr[] = new long[n];\r\n\t\tfor (int i = 0; i < arr.length; i++) {\r\n\t\t\tarr[i] = 0;\r\n\t\t}\r\n\t\treturn arr;\r\n\t}","title":""}],"string":"[\n {\n \"docid\": \"0c5f3c27c6b92f2649a912ab216d9777\",\n \"score\": \"0.0\",\n \"text\": \"public static long[] takeinput(int n) {\\n\\t\\tlong arr[] = new long[n];\\r\\n\\t\\tfor (int i = 0; i < arr.length; i++) {\\r\\n\\t\\t\\tarr[i] = 0;\\r\\n\\t\\t}\\r\\n\\t\\treturn arr;\\r\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"471fcb171ff17382180ac9e3527a0671","score":"0.69301945","text":"public static void main(String[] args) {\n\r\n\r\n\r\n\r\n Scanner sc = new Scanner(System.in);\r\n\r\n int n = sc.nextInt();\r\n int[] arr = new int[n];\r\n \r\n for(int i=1; i<n; i++) {\r\n arr[i] = sc.nextInt();\r\n }\r\n\r\n \r\n for(int i=0; i<n; i++) {\r\n System.out.println(arr[i]+ \" \");\r\n } \r\n \r\n }","title":""},{"docid":"95a1701503ab9410484aff1e94a7784e","score":"0.6627689","text":"public static void main(String[] args) throws Exception\n\t{\n\t\tBufferedReader sc = new BufferedReader(new InputStreamReader(System.in));\n\t\tint s=(Integer)sc.read();\n\t\t//System.out.println(\"enter num\");\n\t\t//int s = sc.nextInt();\n\t\tfor(int i=0;i<=s;i++)\n\t\t{\n\t\t\tSystem.out.println(i+\" \");\n\t\t}\n\t\t\n\t}","title":""},{"docid":"545e7a23cb7bcf76ba652aa3c7396bc5","score":"0.6626262","text":"public static void main(String[] args) {\n Scanner sc=new Scanner(System.in);\n String s=sc.nextLine();\n\t\tint N=sc.nextInt();\n\t\t//String s=sc.nextLine();\n\t\tint result=1;\n\t\tfor(int i=1;i<=10;i++)\n\t\t{\n\t\tresult=N*i;\n\t\tSystem.out.printf(\"%d x %d = %d \\n\", N, i, result);\n\t\t}\n\t\tSystem.out.println(\"String=\" +s);\n\t}","title":""},{"docid":"38a54fe03d7af827f36857f6d7e15687","score":"0.6577492","text":"public static int getSize() {\r\n\t\t// Declare Scanner object.\r\n\t\tScanner input = new Scanner(System.in);\r\n\t\tSystem.out.print(\"Enter matrix size: \");\r\n\t\tint size = input.nextInt();\r\n\t\treturn size;\r\n\t}","title":""},{"docid":"b58139fe1d23636ae021dab7bc289e8f","score":"0.6569327","text":"public static void main(String[] args) {\n\t Scanner s = new Scanner(System.in);\n\t int n = s.nextInt();\n\t s.nextLine();\n\t ArrayList<E> a[] = new ArrayList<E>(5);\n\t for (int j =0;j<n-1;j++){\n\t \tint k = s.nextInt();\n\t for(int i=0;i<k-1;i++){\n\t s.nextInt();\n\t }\n\t s.nextLine();\n\t }\n\t System.out.println(a[1][1]);\n\t }","title":""},{"docid":"ad5379af6cf67ca44073e5722d7045df","score":"0.6534433","text":"private static void getSizeFromUserInput()\n {\n String input = JOptionPane.showInputDialog(frame, \"Hello, please enter the number corresponding to which puzzle size you would like to solve (8 or 15)\");\n\n // input has not yet been validated\n boolean inputValidated = false;\n\n // continue checking new inputs until a valid input has been entered\n while (!inputValidated)\n {\n // use scanner to parse integers from input string\n Scanner scanner = new Scanner(input);\n\n // check for valid int input\n if (scanner.hasNextInt())\n {\n int val = scanner.nextInt();\n // if this was the only value entered AND it equals 8 or 15, the input is valid\n if (!scanner.hasNext() && (val == 8 || val == 15))\n {\n inputValidated = true;\n size = val;\n }\n }\n // if invalid input, ask the user for new input\n if (!inputValidated)\n {\n input = JOptionPane.showInputDialog(frame, \"Your input was not valid. Please re-enter either 8 or 15 for your puzzle size.\");\n }\n scanner.close();\n }\n }","title":""},{"docid":"2830dc7d6c51a46d80016dcba7baec1d","score":"0.64167744","text":"public static void main(String args[]){\n Scanner s=new Scanner(System.in);\n int n=s.nextInt();\n int arr[]= new int[n];\n for(int i=0;i<n;i++)\n {\n arr[i]=s.nextInt();\n }\n Arrays.sort(arr);\n System.out.println(arr[n-1]);\n }","title":""},{"docid":"83fbacfdd768ed32fe3d8e4147ca6c15","score":"0.6399325","text":"public static void main(String args[]){\n Scanner s = new Scanner(System.in);\n int n = s.nextInt();\n int arr[] = new int[n];\n for(int i = 0 ;i < n ; i++)\n {\n arr[i] = s.nextInt();\n }\n int se = s.nextInt();\n int ss1 = s.nextInt();\n for(int i = 0 ;i < n ; i++)\n {\n if(arr[i] == se )\n {\n \tSystem.out.println(i);\n }\n if( arr[i] == ss1)\n {\n System.out.println(i);\n }\n }\n \n\tif(ss1 >= 1000){ System.out.println(\"-1\");}\n \n }","title":""},{"docid":"09c254dab7645a6f4b3ce7a4ad14c832","score":"0.63159174","text":"public static void main(String args[]){\n Scanner s=new Scanner(System.in);\n int n=s.nextInt();\n int[] arr;\n arr=new int[n];\n for(int i=0;i<n;i++)\n arr[i]=s.nextInt();\n int max=0;\n for(int i=0;i<n;i++){\n if(arr[i]>max)\n max=arr[i];\n }\n System.out.print(max);\n \n }","title":""},{"docid":"93db41a26b0b55f83cc1c3235cbc42ac","score":"0.63065916","text":"public static void main(String[] args) {\n \tScanner s=new Scanner(System.in);\n List<Integer> list=new ArrayList<Integer>();\n int n=s.nextInt();\n for(int i=0;i<n;i++){\n list.add(s.nextInt());\n }\n int q=s.nextInt();\n for(int j=0;j<q;j++){\n String s1 = s.next();\n if(s1.equals(\"Insert\"))\n {\n int pos = s.nextInt();\n int val = s.nextInt();\n list.add(pos,val);\n }\n else\n {\n int pos = s.nextInt();\n list.remove(pos);\n }\n }\n Iterator itr=list.iterator();\n while(itr.hasNext())\n {\n System.out.print(itr.next()+\" \");\n }\n }","title":""},{"docid":"c3c397812c143a33cdce7c8f42763d38","score":"0.62974405","text":"public static void main(String[] args) {\n\t\tScanner input = new Scanner(System.in);\n\t\tint n = input.nextInt(); ;\n\t\tSystem.out.println(\"請輸入一個正整數: \");\n\t\t\n\t\tint i = 0;\n\t\tfor (i = 1 ; i <= n ; i++){\n\t\t\t\n\t\t}\n\t\t\n\t}","title":""},{"docid":"c0c9301ef1fc9a70836859bbbc590dfc","score":"0.6293338","text":"public static void main(String[] args) {\n\t\tScanner sc = new Scanner(System.in);\n\t\tSystem.out.println(\"Enter size of array\");\n\t\tArray array = new Array(sc.nextInt());\n\t\tarray.menu();\n\t\tsc.close();\n\t}","title":""},{"docid":"bc3cce9568222a2f8f1d57f971711d41","score":"0.6289445","text":"private static int[] promptArraySize() {\n int[] size = new int[2];\n Scanner input = new Scanner(System.in);\n System.out.print(\"Enter the number of rows and columns in the array: \");\n for (int i = 0; i < 2; i++) {\n size[i] = input.nextInt();\n }\n return size;\n }","title":""},{"docid":"7318dcdca5554ac1e950413cf8f7ba0b","score":"0.62879837","text":"private static void promptBoardSize() {\n try {\n do {\n if (boardSizeStr.length() > 0) {\n JOptionPane.showMessageDialog(null, \"Please \" +\n \"choose a number between 3 and 30\",\n \"ERROR\",\n JOptionPane.ERROR_MESSAGE);\n }\n boardSizeStr = JOptionPane.showInputDialog(null,\n \"Enter in the size of the board (3-30): \");\n } while (boardSizeStr.equals(\"\") ||\n Integer.parseInt(boardSizeStr) < 3 ||\n Integer.parseInt(boardSizeStr) > 30);\n } catch (NumberFormatException e) {\n promptBoardSize();\n }\n\n boardSize = Integer.parseInt(boardSizeStr);\n }","title":""},{"docid":"42849b9ac13883681928f8b36baa932d","score":"0.62808293","text":"public static void main(String[] args) {\n\r\n\t\t\r\n\t\tScanner s = new Scanner(System.in);\r\n\t\tint t = s.nextInt();\r\n\t\t\r\n\t\t\r\n\t\t\r\n\t\t\t\r\n\t\t\tint [] a=new int[t];\r\n\t\t\tfor (int j=0;j<t;j++)\r\n\t\t\t\t\r\n\t\t\t{\t\t\t\r\n\t\t\t\tint m = s.nextInt();\r\n\t\t\t\r\n\t\t\t\ta[j]=m;\r\n\t\t\t}\r\n\t\t\t\r\n\r\n\t\t\tint n = s.nextInt();\r\n print(a,n);\r\n\t\t\t\r\n\t\t\t\r\n\t\t\t\t\r\n\t\r\n\t\r\n\t\r\n\t\r\n\t\r\n\t\r\n\t\r\n\t}","title":""},{"docid":"5e937c1abafe0a7fd043700e40c61c20","score":"0.6280229","text":"public static void main(String[] args) {\n\n Scanner in = new Scanner(System.in);\n int v = in.nextInt();\n int n = in.nextInt();\n for (int i = 0; i < n; i++) {\n if (in.nextInt() == v) {\n System.out.println(i);\n break;\n }\n }\n }","title":""},{"docid":"c077e3b6bb0620b79eeaac81916ec26f","score":"0.6257175","text":"public static void main(String[] args) {\n\r\n Scanner teclado = new Scanner(System.in);\r\n\r\n int n;\r\n\r\n System.out.print(\"Introduce un numero: \");\r\n n = teclado.nextInt();\r\n teclado.nextLine();\r\n\r\n }","title":""},{"docid":"0e3e756cebdbdb9ab0679766a5eb671d","score":"0.6237277","text":"public static void main(String[] args) {\n// increaseMyInt(n2);\n// System.out.println(n2);\n\n Scanner sc = new Scanner(System.in);\n System.out.print(\"정수 입력 : \");\n int n = 0;\n String s = sc.nextLine();\n while (!isInteger(s)) {\n System.out.print(\"잘못된 정수 포맷!!. 정수 다시 입력 : \");\n s = sc.nextLine();\n }\n n = Integer.parseInt(s);\n System.out.println(n);\n }","title":""},{"docid":"b158337cedea32fdf7fd1f55668fcc83","score":"0.6234134","text":"public static void main(String[] args) {\n\t\tScanner sc=new Scanner(System.in);\n\t\tString s=sc.next();\n\t\tint n=sc.nextInt();\n\t\tint count = 0;\n\t\tString str = \"\";\n\t\tfor(int i=s.length()-1;i>=0;i--){\n\t\t\tif(count==n) break;\n//\t\t\tSystem.out.print(s.charAt(i)+\"\");\n\t\t\tstr = s.substring(i, i+1)+str;\n\t\t\tcount++;\n\t\t}\n\t\tSystem.out.println(str);\n\n\t}","title":""},{"docid":"edacd35e6780176ca59d2489ddb3d606","score":"0.6228703","text":"public static void main(String[] args) {\n Scanner sc = new Scanner(System.in);\n int n = sc.nextInt();\n int[] arr = new int[n];\n for(int i = 0; i < n; i++) {\n arr[i] = sc.nextInt();\n }\n partition(arr);\n }","title":""},{"docid":"a4222cbecbf320e3f1b4c02932fce7d6","score":"0.62203914","text":"public static void main(String[] args) {\nScanner src=new Scanner (System.in);\nSystem.out.println(\"enter the size of array\");\nint size=src.nextInt();\nint array[]=new int [size];\nSystem.out.println(\"enter the element \");\nfor(int i=0;i<array.length;i++)\n{\n\tarray[i]=src.nextInt();\n}\n for (int i=0;i<array.length;i++)\n\tSystem.out.println(\"element of array is:\"+array[i]);\n \n\t\n\n\t}","title":""},{"docid":"f8efbe230b905d637e8f8cc366be6251","score":"0.62185484","text":"public static void main(String[] args) {\r\n Scanner s = new Scanner(System.in);\r\n while (s.hasNext()) {\r\n int n = s.nextInt();\r\n int k = s.nextInt();\r\n System.out.println(createString(n, k));\r\n }\r\n s.close();\r\n }","title":""},{"docid":"9b03de8c82858d3df67c10296ac88cab","score":"0.62133044","text":"public static void main(String args[])\n {\n Scanner in=new Scanner(System.in);\n int n=in.nextInt();\n int arr[]=new int[n];\n for(int i=0;i<n;i++)\n {\n arr[i]=in.nextInt();\n }\n sum(arr,n);\n }","title":""},{"docid":"2eb14297eb76bdc791c22a2dc9180ab6","score":"0.618854","text":"public int askForQuantityOfConfigurations(){\n Scanner input = new Scanner(System.in);\n String quantity = \"2\";\n \n while(Integer.parseInt(quantity) < 3){\n System.out.print(\"\\nHow many random configurations do you want \"\n + \"to create for learned heuristic?(n>=3): \");\n quantity = input.next();\n if(!isNumber(quantity)){\n System.out.println(\"Eror \" + quantity + \"is not a number!\");\n quantity = \"2\";\n }\n }\n \n return Integer.parseInt(quantity);\n }","title":""},{"docid":"2225d6c3876b33d9128b117c3bb8c4c2","score":"0.6161819","text":"public static void main(String[] args) {\n\t\tScanner sc=new Scanner(System.in);\r\n\t\tSystem.out.println(\"ENter size of input array\");\r\n\t\tint n= sc.nextInt();\r\n\t\tint array[]=new int[n];\r\n\t\tSystem.out.println(\"Enter Array elements\");\r\n\t\tfor(int i=0;i<n;i++)\r\n\t\t{\r\n\t\t\tarray[i]=sc.nextInt();\r\n\t\t}\r\n\t\tchangeArr(array);\r\n\t\tSystem.out.println(\"required array is\\n \");\r\n\t\tfor(int e : array)\r\n\t\t{\r\n\t\t\tSystem.out.print(e+\" \");\r\n\t\t}\r\n\r\n\t}","title":""},{"docid":"6eca8a2944c746e6100971e9e841f40e","score":"0.6145524","text":"public static void main(String[] args) \n {\n Scanner sc=new Scanner(System.in);\n int n=sc.nextInt();\n int s=summ(n);\n System.out.print(s);\n }","title":""},{"docid":"86b97aec62a424cc27e6465a11ebad57","score":"0.61183596","text":"public static void main(String[] args) {\nScanner scn=new Scanner(System.in);\nint n=scn.nextInt();\nfor(int i=1;i*i<=n;i++) {\n\tSystem.out.println(i*i);\n}\n\t}","title":""},{"docid":"820994998a5f356449e6134528c24610","score":"0.60964566","text":"public static void main(String args[]) {\n Scanner in = new Scanner (System.in);\n int n= in.nextInt();\n int arr[]= new int[n];\n for(int i=0;i<n; i++)\n {\n arr[i]=in.nextInt();\n }\n move(n,arr);\n for(int i=0; i<n; i++)\n {\n System.out.print(arr[i] + \" \");\n }\n \n \n }","title":""},{"docid":"e5ffe0131564dcbb04f939d492146d22","score":"0.60930926","text":"public static void main(String[] args) throws IOException {\n\t\t\n\t\tScanner sc = new Scanner(System.in);\n\t\t\n\t\tSystem.out.println(\"Please enter the size of array :- \");\n\t\tint count = 0;\n\t\tint size = sc.nextInt();\n\t\tint[] arr = new int[size];\n\t\twhile(count < size)\n\t\t{\n\t\t\tSystem.out.println(\"Enter elements : \");\n\t\t\tarr[count] = sc.nextInt();\n\t\t\tcount++;\n\t\t}\n\t\t\n\t\t System.out.println(\"Size of the array is : \"+size);\n\t\t System.out.println(\"elements entered are : \");\n\t\tfor(int i : arr){\n\t\t\tSystem.out.println(i);\n\t\t}\n\t\t\n\t\t\n\t\t\n\t}","title":""},{"docid":"83affe8b0bdb907c4aa1de9a86e86a21","score":"0.60612845","text":"public static void main(String[] args) throws Exception {\n Scanner input = new Scanner(System.in);\n int n = input.nextInt();\n int[][] a = new int[n][n];\n for(int i = 0;i<n;i++){\n for(int j = 0;j<n;j++){\n a[i][j] = input.nextInt();\n }\n }\n \n for(int d = 0;d<n;d++){\n for(int i = 0, j = d;j<n;j++, i++){\n System.out.println(a[i][j]);\n }\n }\n }","title":""},{"docid":"6cf1bffd22154170e50ed470fd6cc2d1","score":"0.60607684","text":"private int size() {\n return n;\n }","title":""},{"docid":"c1c10a278ae5af1d4bc50f0b6cb6333e","score":"0.6046916","text":"public static void main(String[] args) {\n\t\tint n;\r\n\t\tScanner sc=new Scanner(System.in);\r\n\t\tSystem.out.println(\"enter val of n\");\r\n\t\tn=sc.nextInt();\r\n\t\tSystem.out.println(\"square of \" + n + \" is \" + Math.pow(n,2));\r\n\t\tSystem.out.println(\"cube of \" + n + \" is \" + Math.pow(n,3));\r\n\t\tSystem.out.println(\"square root of \" + n + \" is \" + Math.sqrt(n));\r\n\t}","title":""},{"docid":"69b4e1a93ff1ed12394de1c4c8d0810c","score":"0.60425884","text":"public static void main (String[] args) throws IOException {\n\t Scanner sc = new Scanner(System.in);\r\n\t\tint t=sc.nextInt();\r\n\t\twhile(t-->0){\r\n\t\t int n=sc.nextInt();\r\n\t\t int a[]=new int[n];\r\n for(int i=0;i<n;i++){\r\n a[i]=sc.nextInt();\r\n }\r\n int k=sc.nextInt();\r\n Arrays.sort(a);\r\n System.out.println(a[k-1]);\r\n\t}\r\n}","title":""},{"docid":"32a9215b1085b92e9ae9047f34d40a8c","score":"0.6040334","text":"public static void main(String[] args) {\n int n;\n Scanner sc=new Scanner(System.in);\n n=sc.nextInt();\n int m=5,s=0;\n for(int i=0;i<n;i++)\n {\n s+=Math.floor(m/2);\n m=(int)Math.floor(m/2);\n m=m*3;\n }\n System.out.println(s);\n }","title":""},{"docid":"a32838cf965ac968e3bfb789feed039d","score":"0.60382444","text":"public static void main (String[] args)\n {\n Scanner in=new Scanner(System.in);\n int n=in.nextInt();\n System.out.print(sum_of_squares(n));\n }","title":""},{"docid":"d4100fc2a2b6570ed4c0ae5b46e3a196","score":"0.6035054","text":"public static void main(String[] args) {\n Scanner input = new Scanner(System.in);\r\n System.out.println(\"Enter the size: \");\r\n int size = input.nextInt();\r\n char a[]= new char[size];\r\n for (int i=0;i<size;i++)\r\n {\r\n a[i] =input.next().charAt(0);\r\n }\r\n for (char i :a)\r\n {\r\n System.out.println(i);\r\n }\r\n }","title":""},{"docid":"71766c76e3fcee7ca8831b7a27e85dd7","score":"0.6017641","text":"public void setInput(int n)\n {\n input = n;\n }","title":""},{"docid":"2425023854098627ccbeb3d27a55236d","score":"0.6013168","text":"public static void main(String[] args) {\n\t\tScanner s = new Scanner(System.in);\r\n\t\tSystem.out.println(\"enter the egg contain number\");\r\n\t\tint number=s.nextInt();\r\n\t\tSystem.out.println(\"Harry has to swim at \"+number+\" metres and must rescue \"+number+\" sea maidens\");\r\n\r\n\t}","title":""},{"docid":"44f0ed42bb9cb91de75c81567cd3af5a","score":"0.60075736","text":"public static void main(String[] args) {\n\t\tScanner s=new Scanner (System.in);\n int d=0;\n do {\n System.out.println(\"enter number: \");\n d+=s.nextInt();\n \n\t}while (d<=100);\n System.out.println(\"done: \"+d);\n\n}","title":""},{"docid":"cf835b3440cd4bcad6a4fab0982b35f2","score":"0.59926605","text":"public static void main(String[] args) throws NumberFormatException, IOException {\n\t\tBufferedReader br=new BufferedReader(new InputStreamReader(System.in));\n\t\tSystem.out.println(\"enter the size of array :\");\n\t\tint n=Integer.parseInt(br.readLine());\n\t\tint [] arr=new int[n];\n\t\tint large=0,small=0;\n\t\tfor(int i=0;i<arr.length;i++)\n\t\t{\n\t\t\tarr[i]=Integer.parseInt(br.readLine());\n\t\t\tlarge=arr[0];\n\t\t\tsmall=arr[0];\n\t\t\tif(arr[i]>large)\n\t\t\tlarge=arr[i];\n\t\t\telse if(arr[i]<small)\n\t\t\t\tsmall=arr[i];\n\t\t}\n\t\tSystem.out.print(large +\" \"+small);\n\n\t}","title":""},{"docid":"6036aabe9a1c966e3a381c8a98090935","score":"0.59897494","text":"public static void main(String[] args) {\n\t\tint n;\n\t\tScanner sc = new Scanner(System.in);\n\t\tn = sc.nextInt();\n\t\t\n\n\t}","title":""},{"docid":"e23496b7a7b9601642f6f160188505a9","score":"0.59887207","text":"private static int readInt() {\n int input = -1;\n while (input == -1) {\n try {\n input = StdIn.readInt();\n } catch (InputMismatchException e) {\n StdOut.println(\"Invalid choice, please try again!\");\n StdOut.println(\"Enter the number of disks: \");\n }\n }\n return input;\n }","title":""},{"docid":"4ae0db5b85e5686ad7e51fd59e10f876","score":"0.5987861","text":"public static void main(String[] args) {\n Scanner scanner = new Scanner(System.in);\n int n = -1;\n n = scanner.nextInt();\n\n // keep taking the input until user types 0\n while (n != 0){\n System.out.println(getMinimumStride(n));\n n = scanner.nextInt();\n }\n scanner.close();\n\n }","title":""},{"docid":"36d03d91bd414ef7b16c2b4eab9cf5e6","score":"0.59860057","text":"private int[] getInput(int size) {\r\n\t\tint[] input = new int[size];\r\n\t\tint i = 0;\r\n\r\n\t\tSystem.out.println(\"Please enter \" + size + \r\n\t\t\t\t\" space-separate integers between 1 and 13\");\r\n\t\t\r\n\t\tScanner in = new Scanner(System.in);\r\n\t\twhile (i < size) {\r\n\t\t\tif (in.hasNext()) {\r\n\t\t\t\tint num = in.nextInt();\r\n\t\t\t\tif (num > 13 || num < 1) {\r\n\t\t\t\t\tSystem.out.println(\"Invalid number. Please enter a number\" +\r\n\t\t\t\t\t\t\t\t\t\t\"between 1 and 13\");\r\n\t\t\t\t}\r\n\t\t\t\telse {\r\n\t\t\t\t\tinput[i] = num;\r\n\t\t\t\t\ti++;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\treturn input;\r\n\t}","title":""},{"docid":"c85a03e730fed1585f3015857b37490f","score":"0.59838074","text":"public static void main(String[] args) {\n\t\tSystem.out.println(\"Please Enter the size of the array:\");\r\n\t\tScanner sc = new Scanner(System.in);\r\n\t\tString s = sc.next();\r\n\t\ttry {\r\n\t\t\tint[] array = new int[Integer.parseInt(s)];\r\n\t\t}catch(NumberFormatException e) {\r\n\t\t\tSystem.out.println(\"Please enter Numeric Value!\");\r\n\t\t}catch(NegativeArraySizeException e) {\r\n\t\t\tSystem.out.println(\"Please Enter a Possitive Integer value!\");\r\n\t\t}\r\n\t\tSystem.out.println(\"Your Array Successfully Created :)\");\r\n\t}","title":""},{"docid":"132c2f995471dfc2d234a5f1f1ba509f","score":"0.5969978","text":"public static void main(String[] args) {\n\n\t\tScanner s = new Scanner(System.in);\n\t\t\n\t\tint nc = s.nextInt();\n\t\tjava.util.Map<Integer, String> hm = new java.util.HashMap<Integer,String>();\n\t\tfor(int i =0;i<nc;i++){\n\t\t\t\n\t\t\thm.put(s.nextInt(),\t s.next());\n\t\t\t\n\t\t}\n\t\tint n = s.nextInt();\n\t\t\n\t\tfor(int i=0;i<n;i++){\n\t\t\tint k = s.nextInt();\n\t\t\t\n\t\t\t System.out.println(hm.get(k));\n\t\t\t\n\t\t\t\n\t\t}\n\t}","title":""},{"docid":"9adabea52cacf002c5b50a634e0e4d9a","score":"0.5968815","text":"int chooseSnackType(){\r\n System.out.println(\"Choose the snack type by pressing the index number:\" + \"\\n1.\" + soda + \"\\n2.\" + choco+ \"\\n3.\" + gum+ \"\\n4.\" + chips);\r\n Scanner input = new Scanner(System.in);\r\n int index = input.nextInt();\r\n while (index > 4 || index <= 0){\r\n System.out.println(\"Please enter a correct index number\");\r\n System.out.println(\"Choose the snack type by pressing the index number:\" + \"\\n1.\" + soda + \"\\n2.\" + choco+ \"\\n3.\" + gum+ \"\\n4.\" + chips);\r\n index = input.nextInt();\r\n }\r\n return index;\r\n }","title":""},{"docid":"dde142d7f01ff282330cff0588c80a02","score":"0.59654754","text":"public static void main(String args[])\n {\n Scanner in=new Scanner(System.in);\n int i,s=in.nextInt(),c=0,n=0;\n int a[]=new int[s];\n for(i=0;i<s;i++)\n {\n a[i]=in.nextInt();\n }\n while(++n<s)\n {\n c=0;\n for(i=0;i<s;i++)\n {\n if(n==a[i])\n c++;\n }\n if(c==0)\n System.out.print(n);\n }\n }","title":""},{"docid":"7b9e7cbf7d68d4824a9d9506aebf8083","score":"0.5962284","text":"public static void main(String args[]) {\n Scanner sc = new Scanner(System.in);\n int n = sc.nextInt();\n int a[] = new int[n];\n for(int i = 0; i < n; i++)\n {\n a[i] = sc.nextInt();\n }\n zeroes_at_the_end(n,a);\n for( int i = 0; i < n; i++)\n {\n System.out.print(a[i]+\" \");\n }\n }","title":""},{"docid":"cfdf9e9ad4e3f670d6ca519a01e91785","score":"0.5954258","text":"public static void main(String[] args) {\n Scanner sc = new Scanner(System.in);\n int n = sc.nextInt();\n \n for(int i=1; i*i <= n; i++){\n System.out.println(i*i);\n }\n }","title":""},{"docid":"4e1ed3f8bb0b4cdc69d5651ea0745b59","score":"0.5952048","text":"public static void main(String[] args) {\n Scanner in = new Scanner(System.in);\n int s = in.nextInt();\n int[] ar = new int[s];\n for (int i = 0; i < s; i++) {\n ar[i] = in.nextInt();\n }\n insertIntoSorted(ar);\n }","title":""},{"docid":"0b3d76810094554590f3ef92a0b94137","score":"0.59287584","text":"public static void main(String[] args) {\n\r\n Scanner s = new Scanner(System.in);\r\n int n = s.nextInt();\r\n\r\n int factor = 2;\r\n if (n == 1 || n == -1 || n == 0) {\r\n System.out.print(n);\r\n return;\r\n }\r\n\r\n while (n != 1) {\r\n if (n % factor == 0) {\r\n System.out.print(factor + \" \");\r\n n /= factor;\r\n } else\r\n factor++;\r\n }\r\n }","title":""},{"docid":"621c03d50318a5c95f500c40f33e2758","score":"0.59275395","text":"public void setSize(int s)\r\n\t{\r\n\t\tsize=s;\r\n\t}","title":""},{"docid":"7abfeca22fbb4065962337babfd23b1c","score":"0.5924057","text":"public static void main(String[] args) {\n\n Scanner scanner = new Scanner(System.in);\n System.out.println(\" Enter the number : \");\n int n = scanner.nextInt();\n\n\n int f=1,s=1,t;\n System.out.println(f);\n System.out.println(s);\n for(int i=3;i<n;i++)\n {\n \n t=f+s;\n System.out.println(t);\n f=s;\n s=t;\n }\n\n\n\n }","title":""},{"docid":"8c445cefe9ec740a8782ec227f61a3c2","score":"0.5923458","text":"public void setSize(int s){\n\t\tsize = s;\n\t}","title":""},{"docid":"fcb1ca021c673c97b8d4885757858972","score":"0.59226173","text":"public int size() { return n; }","title":""},{"docid":"e30418d87fda48a0d3dc97077a5826d8","score":"0.5916523","text":"private int getPopulationSize() {\r\n System.out.println(\"Enter number for size of starting population (recommended number = 400 | Minimum number = 10): \");\r\n int initPopulationSize = getUserInput();\r\n\r\n // this is for if the user inputs nothing and presses enter\r\n if (initPopulationSize == -1000000000) {\r\n initPopulationSize = 400;\r\n }\r\n // ensures population size at least 10\r\n else if (initPopulationSize < 10) {\r\n while (initPopulationSize < 10) {\r\n System.out.println(\"Please choose larger population size\");\r\n System.out.println(\"Enter number for size of starting population (recommended number = 400 | Minimum number = 10): \");\r\n initPopulationSize = getUserInput();\r\n }\r\n }\r\n return initPopulationSize;\r\n }","title":""},{"docid":"eb6b27044e72e56c781110cf4a19621b","score":"0.59161854","text":"public static void main(String[] args) {\n Scanner console = new Scanner(System.in);\n int n = console.nextInt();\n int sum = 0 ;\n int counter = 0;\n while (n>=counter){\n sum +=counter;\n counter++;\n }\n System.out.println(sum);\n }","title":""},{"docid":"0c7b6eaf21decb57297fd3e74a294cc7","score":"0.59120524","text":"public static void main(String[] args) {\r\n\tList<Integer> li = new ArrayList<>();\r\n\tScanner sc=new Scanner(System.in);\r\n\tSystem.out.println(\"how many numbers you want to add to the ArrayList:\");\r\n\ttry {\r\n\t\tint a=sc.nextInt();\r\n\t\tfor (int i=1;i<=a;i++) {\r\n\t\t\tSystem.out.println(\"Enter the \"+i+\" element:\");\r\n\t\t\tint c=sc.nextInt();\r\n\t\t\tli.add(c);\r\n\t\t}\r\n\t\tSystem.out.println(li);\r\n\t\tsc.close();\r\n\t\t}\r\n\tcatch (Exception e) {\r\n\t\te.printStackTrace();\r\n\t}\r\n}","title":""},{"docid":"9298a5a590f2a90304b6456f778d8533","score":"0.58945954","text":"public static void main (String[] args){\n Scanner in=new Scanner(System.in);\n int n=in.nextInt();\n int k;\n k=sum(n);\n System.out.println(k);\n\t}","title":""},{"docid":"bcb1944153b8dcaeba202b74b6d4808b","score":"0.5890966","text":"public static void main(String[] args) {\n Scanner sc = new Scanner(System.in);\n n=sc.nextInt();\n arr=new int[n];\n max=new int[n];\n \n int q;\n for(int i=0;i<n;i++)\n {\n q=sc.nextInt();\n switch(q)\n {\n case 1:\n int it=sc.nextInt();\n push(it);\n break;\n case 2:\n pop();\n break;\n case 3:\n max();\n break;\n }\n \n }\n }","title":""},{"docid":"0f43f89b43d41289b4b9bde15d9a6212","score":"0.58845586","text":"public static int getAndValidateTableSize(int size) {\n boolean notInt = true;\n while (notInt) {\n try {\n if (size <= 12 && size > 0) {\n notInt = false;\n return size;\n } else {\n throw new IllegalArgumentException(\"The number is out of bounds\");\n }\n\n } catch (InputMismatchException e) {\n System.out.println(\"Please enter correct number\");\n }\n }\n return 0;\n }","title":""},{"docid":"c9fd0a9ba6aee1ac9e4545260ad617ed","score":"0.5876299","text":"public static void main(String[] args) {\n\t\tint n,sum=0,i;\r\n\t\tScanner sc = new Scanner(System.in);\r\n\t\tSystem.out.println(\"Enter Number\");\r\n\t\tn= sc.nextInt();\r\n\t\tsc.close();\r\n\t\tfor(i=0;i<=n;i++)\r\n\t\t{\r\n\t\t\tsum = sum + i;\r\n\t\t\t\r\n\t\t}\r\n\t\tSystem.out.println(\"Sum is :\"+sum);\r\n\t\t\r\n\r\n\t}","title":""},{"docid":"44366c96a555c476d13392e55127d2b2","score":"0.5874576","text":"public static void main(String[] args) {\n\t\tScanner in = new Scanner(System.in);\n\t int s = in.nextInt();\n\t int[] ar = new int[s];\n\t for(int i=0;i<s;i++){\n\t \tar[i]=in.nextInt(); \n\t }\n\t insertIntoSorted(ar);\n\t}","title":""},{"docid":"6e0bd4787ee8497b1fae1135a9bba81f","score":"0.58624095","text":"public static void main (String[] args){\n Scanner myScanner = new Scanner(System.in);\n //initializing the scanner class\n //prompting user for input \n System.out.print(\"Enter a size for the X\" );\n int size;\n size = myScanner.nextInt();\n //Asking for the input\n //declaring and initializing the user input\n if(size>100 || size<1){\n System.out.println(\"size invalid\");\n System.exit(-1);\n //loop thatll provide whether or \n //not an invalid size was given\n }\n //loop to print spaces for the X\n for (int k=0; k<size; k++){\n for(int i=0; i<size; i++){\n if ((size-k) == i + 1){\n System.out.print(\" \");\n }\n else if (k==i){\n System.out.print(\" \");\n }\n //loop for printing the stars around the spaces.\n else {\n System.out.print(\"*\");\n }\n }\n System.out.println(\"\");\n }\n \n }","title":""},{"docid":"9c04e2f41f3db0834de04ea2b7878c22","score":"0.5855356","text":"public static void main(String args[]){\n Scanner in=new Scanner(System.in);\n int n=in.nextInt();\n int a[ ]=new int[n];\n int i,count=0,count1=0;\n for(i=0;i<n;i++)\n a[i]=in.nextInt();\n int s1=in.nextInt();\n int s2=in.nextInt();\n for(i=0;i<n;i++)\n {\n if(a[i]==s1)\n {\n System.out.println(i);\n count++;\n }\n if(a[i]==s2)\n {\n System.out.println(i);\n count1++;\n }\n } \n if(count==0)\n System.out.println(\"-1\");\n if(count1==0)\n System.out.println(\"-1\");\n }","title":""},{"docid":"f89fe7b201d9c7831bd0fe076ed19f59","score":"0.5843261","text":"public int getAeroplaneQuantity(){\n\n Scanner input = new Scanner(System.in);\n return input.nextInt();\n\n }","title":""},{"docid":"23b8390fcb6eae4879d576eacf8288e4","score":"0.58430207","text":"public static void main(String[] args) {\n \n int a=1,b=1,c=0;\n Scanner input =new Scanner(System.in);\n System.out.println(\"Enter the number:\");\n int n = input.nextInt();\n System.out.println(\"error\");\n \n while(c<=n)\n {\n c = a+b;\n if (c>=n)\n {\n break;\n }\n System.out.println(c+ \" \");\n a=b;\n b=c;\n \n }\n \n }","title":""},{"docid":"a2a736c8d9cc7eab2b2d3a5feff9d222","score":"0.5837779","text":"public int size(){\n return n;\n }","title":""},{"docid":"08c02a39cd6602c9674b7797ac4b6886","score":"0.5835983","text":"public static void main(String[] args) {\n\t\tint n;\n\t\tInteger j;\n\t\tScanner in=new Scanner(System.in);\n\t\tSystem.out.println(\"Enter the array limit: \");\n\t\tn=in.nextInt();\n\t\tint arr[]=new int[n];\n\t\tSystem.out.println(\"Enter the array values: \");\n\t\tfor(int i=0;i<n;i++){\n\t\t\tarr[i]=in.nextInt();\n\t\t}\n\t\tSystem.out.println(\"Your array values: \");\n\t\tfor(int i=0;i<n;i++){\n\t\t\tSystem.out.print(\" \"+arr[i]);\n\t\t}\n\t}","title":""},{"docid":"0fe9d2ba9f600c11172bcb37cc142f4c","score":"0.5816486","text":"public static void main(String args[]) {\n\t\r\n\tScanner sc= new Scanner(System.in);\r\n\tint a=sc.nextInt();\r\n\tint b=sc.nextInt();\r\n\tint c=sc.nextInt();\r\n\t\r\n}","title":""},{"docid":"ac836e8ac405e85b25cb7de08ba8b5ef","score":"0.58069426","text":"public static void main(String[] args) {\n\n Scanner sc = new Scanner(System.in);\n int numero = sc.nextInt();\n int numero2 = sc.nextInt();\n System.out.print(numero2+\" \");\n System.out.println(numero);\n }","title":""},{"docid":"f8c8e0de649705fb1901565b591cbbbb","score":"0.58064926","text":"public static void main(String[] args) {\n\t\tScanner sc = new Scanner(System.in);\n\t\tSystem.out.println(\"Enter the size of array\");\n\t\tint size = sc.nextInt();\n\t\tint array[]= new int [size];\n\t\tint squareRoot[]= new int [size];\n\n\n\t\tSystem.out.println(\"enter the elements\");\n\t\tfor(int i =0; i<size;i++) {\n\t\t\tarray[i]=sc.nextInt();\n\t\t\tsquareRoot[i]=(int) Math.sqrt(array[i]);\n\t\t\t\n\t\t\t\n\t\t}\n\t\tSystem.out.println(Arrays.toString(squareRoot));\n\t\tsc.close();\n\n\t}","title":""},{"docid":"dd9c1d7590b032f3c58e509b24ce270c","score":"0.580491","text":"public void setSize(int s) {\n size = s;\n }","title":""},{"docid":"b8517bec0f49c866b758f2f6e655c2a4","score":"0.5802906","text":"public int getRandomSize()\n {\n return randomSize = rand.nextInt(200) + 10;\n }","title":""},{"docid":"5e21220e7373fc8370ed09317ed31e99","score":"0.579763","text":"public static void main (String[] args){\n Scanner in = new Scanner(System.in);\n int n= in.nextInt();\n int r,c;\n for(r=1;r<=n;r++){\n for(c=1;c<=r;c++){\n System.out.print(\"\"+r);\n }\n System.out.println(\"\");}\n\t}","title":""},{"docid":"65526a08442859908b9cfd8b372a2f04","score":"0.57976","text":"public static void main(String[] args) {\n\t\t\r\n\t\tScanner s=new Scanner(System.in);\r\n\t\t\r\n\t\tint r;int i;\r\n\t\tint fact=1;int sum=0;\r\n\t\t\t\r\n\t\t\tSystem.out.println(\" enter the number\");\r\n\r\n\t}","title":""},{"docid":"462e2df47bcfd256b821c3b3704d4355","score":"0.5797317","text":"public int size() {\n return n;\n }","title":""},{"docid":"a0a1f315a82d4832976f92cc2ef2f019","score":"0.5788588","text":"public static void main(String[] args) {\n\t\tScanner sc = new Scanner(System.in);\r\n\t\tint repeat = sc.nextInt();\r\n\t\tfor (int i =0; i < repeat; ++i){\r\n\t\t\tint n = sc.nextInt();\r\n\t\t\tint[] a = new int[n];\r\n\t\t\tfor (int j = 0; j < n; ++j){\r\n\t\t\t\ta[j] = sc.nextInt();\r\n\t\t\t}\r\n\t\t\tfor (int b = (n-1); b >=0; --b){\r\n\t\t\t\tSystem.out.print(a[b] + \" \");\r\n\t\t\t\tif(b==0){\r\n\t\t\t\t\tSystem.out.print(\"\\n\");\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t}","title":""},{"docid":"c432e3dc5ce7ebcc5f1678ac5c212e33","score":"0.5786731","text":"private static int getN ()\n {\n int inputInt = 1;\n BufferedReader in = new BufferedReader (new InputStreamReader (System.in));\n String inStr;\n\n try\n {\n inStr = in.readLine ();\n inputInt = Integer.parseInt(inStr);\n }\n catch (IOException e)\n {\n System.out.println (\"Could not read input, choosing 1.\");\n }\n catch (NumberFormatException e)\n {\n System.out.println (\"Entry must be a number, choosing 1.\");\n }\n\n return (inputInt);\n }","title":""},{"docid":"294d0a0e05959fd77705c8a0e5df918f","score":"0.57855207","text":"public static void main(String[] args) {\n\t\tScanner in = new Scanner(System.in);\n\t\tint s = in.nextInt();\n\t\tint[] ar = new int[s];\n\t\tfor(int i=0;i<s;i++){\n\t\t\tar[i]=in.nextInt();\n\t\t}\n\t\tinsertIntoSorted(ar);\n\t}","title":""},{"docid":"a5766ff63f216ce963ac83675ff3e143","score":"0.57812023","text":"static void menu(){\n System.out.println(\"##########################\");\n System.out.println(\"##### Number Program #####\");\n System.out.println(\"##########################\");\n\n System.out.println(\"Please enter 5 numbers and we will do the following:\");\n System.out.println(\"Find the sum\");\n System.out.println(\"Find the product\");\n System.out.println(\"Find the largest\");\n System.out.println(\"Find the smallest\");\n\n }","title":""},{"docid":"25a6e7fb2ab781dd94153707b5ecec4c","score":"0.5769817","text":"public static void main(String[] args) {\n\t\tScanner s=new Scanner(System.in);\r\n\t\tint n=s.nextInt();\r\n\t\tSystem.out.println(fm(n));\r\n\t}","title":""},{"docid":"92e2ec68f1828f4acfe048d8cd960a66","score":"0.576963","text":"public static void main(String[] args) {\n\tint m,n;\n\t\t\n\t\tScanner s=new Scanner(System.in);\n\t\tSystem.out.println(\"enter no. of row and column\");\n\t\tm=s.nextInt();\n\t\tn=s.nextInt();\n\t\tint i,j;\n\t\tint[][] arr=new int[m][n];\n\t\tSystem.out.println(\"enter values\");\n\t\tfor(i=0;i<m;i++)\n\t\t{\n\t\t\tfor(j=0;j<n;j++)\n\t\t\t{\n\t\t\t\tarr[i][j]=s.nextInt();\n\t\t\t}\n\t\t}\n\t}","title":""},{"docid":"7b0216f88472f856d4e13e70c3f05a69","score":"0.5762406","text":"public int size() {\n return n;\n }","title":""},{"docid":"7b0216f88472f856d4e13e70c3f05a69","score":"0.5762406","text":"public int size() {\n return n;\n }","title":""},{"docid":"ba9ced08a61bc2c2bcadff64d8962023","score":"0.57609504","text":"public static int getNoOfGuests() {\r\n System.out.println(\"Enter no of guests: \");\r\n return sc.nextInt();\r\n }","title":""},{"docid":"bb1ff4dcdf96cdacbf14558a3aa1a248","score":"0.575488","text":"include<stdio.h>\nint main()\n{\n int n;\n scanf(\"%d\\n\",&n);\n int arr[n];\n for(int i=0;i<n;i++)\n {\n scanf(\"%d \",(arr+i));\n }\n sum_subsequence(n,arr);\n return 0;\n}","title":""},{"docid":"a7aa5bde064af51a79f9de164488166b","score":"0.57513815","text":"public int randomSize(int x) {\n return (1 + new Random().nextInt(100));\n }","title":""},{"docid":"2ecac43a578ee9391fab2aace3b87ac0","score":"0.5751278","text":"public static void main(String[] args) {\n\t\tStockSpanner ss = new StockSpanner();\n\t\tScanner sc = new Scanner(System.in);\n\t\tint n = sc.nextInt();\n\t\tfor (int i = 0; i < n; i++) {\n\t\t\tSystem.out.println(ss.next(sc.nextInt()));\n\t\t}\n\t}","title":""},{"docid":"910d4c1488c26871b317a066cd860693","score":"0.5746791","text":"public static void main(String[] args) {\n\t\tScanner sc=new Scanner(System.in);\n\t\tHashMap <Integer,String> hm=new HashMap();\n\t\thm.put(1, \"Rahul\");\n\t\thm.put(2, \"Venky\");\n\t\thm.put(3, \"Ashutosh\");\n\t\thm.put(4, \"Tushar\");\n\t\tSystem.out.println(hm.size());\n\t\tSystem.out.println(\"Enter the key\");\n\t\tint a=sc.nextInt();\n\t\tif(a<=hm.size()) {\n\t\t\tSystem.out.println(\"The value associated with key is\"+hm.get(a));\n\t\t}\n\t\telse {\n\t\t\tSystem.out.println(\"The hashmap dose not contain the specified key\");\n\t\t}\n\t}","title":""},{"docid":"d89ba5d5cc98116a2ee1ab2e83efe1ca","score":"0.5745171","text":"public static void main(String[] args) {\n\t\tScanner sc=new Scanner(System.in);\r\n\t\tSystem.out.println(\"size\");\r\nint a=sc.nextInt();\r\n\t\t\r\n\t\tint[]x=new int[a];\r\n\t\tfor(int i=0;i<a;i++){\r\n\t\t\tx[i]=sc.nextInt();\r\n\t\t\t}\r\n\t\tSystem.out.println(\"target\");\r\n\t\tint t=sc.nextInt();\r\n\t\tArrays.sort(x);\r\n\t\tfor(int i=0;i<a;i++){\r\n\t\t\tfor(int j=i+1;j<a;j++){\r\n\t\t\t\tif (x[i]+x[j]==t){\r\n\t\t\t\t\tSystem.out.println(x[i]+\",\"+x[j]);\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t}","title":""},{"docid":"a6d8eae176cfb6f04dfeba7ed0828668","score":"0.57422835","text":"public static void main(String[] args){\n Scanner inputScanner = new Scanner(System.in);\n String input = inputScanner.nextLine();\n for(int i=1;i<10;i++){\n\n }\n }","title":""},{"docid":"1b27bf373efd1f4671beb45dcf00897b","score":"0.57367814","text":"public static void main(String args[])\n {\n Scanner sc=new Scanner(System.in);\n int n=sc.nextInt();\n int a[]=new int[n];\n for(int i=0;i<n;i++)\n a[i]=sc.nextInt();\n if(a[0]==1 && a[1]!=2)\n System.out.println(\"Perfect Batch\");\n else if(a[1]==2)\n System.out.println(\"Not a Perfect Batch\");\n }","title":""},{"docid":"35fe37f451ce81d0c2fb54b84864bfee","score":"0.57316756","text":"public void setSize(int s) {\n\t\tsize = s;\n\t}","title":""},{"docid":"dfa8d45478d1c2bac6ea81f5672c346e","score":"0.5730631","text":"public static void main(String[] args) {\n\t\tint n,count=0;\n\t\tScanner sc=new Scanner(System.in);\n\t\tn=sc.nextInt();\n\t\tif(n<0 || n%2!=0) {\n\t\t\tSystem.out.println(\"invalid array size\");\n\t\t}\n\t\telse\n\t\t{\n\t\t\tint a[]=new int[n];\n\t\t\tfor(int i=0;i<n;i++) {\n\t\t\t\ta[i]=sc.nextInt();\n\t\t\t\tif(a[i]<0) {\n\t\t\t\t\tSystem.out.println(\"invalid input\");\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor(int i=1;i<n;i=i+2) {\n\t\t\t\tif(a[i]>=70)\n\t\t\t\t\tcount++;\n\t\t\t}\n\t\t\tSystem.out.println(count);\n\t\t}\n\t}","title":""},{"docid":"7f9774e54b8b013e3470e2c80f66c1e1","score":"0.5723296","text":"public static void main(String[] args) {\n Scanner in = new Scanner(System.in);\n int n = in.nextInt();\n int k = in.nextInt();\n int q = in.nextInt();\n\n int[] array = new int[n];\n for(int i=0; i<n; i++) {\n array[i] = in.nextInt();\n }\n int queryIndex, rotation, rotationIndex;\n while(in.hasNextInt()){\n queryIndex = in.nextInt();\n if(k>n-1) {\n rotation = k%n;\n } else {\n rotation = k-1;\n }\n rotationIndex = queryIndex + rotation;\n if(rotationIndex>n-1) {\n rotationIndex = rotationIndex%n;\n }\n System.out.println(array[rotationIndex]);\n }\n\n }","title":""},{"docid":"96e3554e76323f6b5ccb1a83d0263d1e","score":"0.5722285","text":"public static void main(String[] args) {\n\t\tScanner in = new Scanner(System.in); \n int s = in.nextInt(); \n \n Scanner inn = new Scanner(System.in); \n int ss = inn.nextInt(); \n \n int add = s+ss;\n \n System.out.println(\"The Sum of \"+s+\" and \"+ss+\" is \"+add);\n\t}","title":""},{"docid":"58a84dd928a0b0971299514989a046d4","score":"0.57184386","text":"public static void main(String[] args) {\n\t\tScanner myScanner = new Scanner (System.in);\r\n\t\tint a = myScanner.nextInt();\r\n\t\tint b = myScanner.nextInt();\r\n\t\tint n = (int) (Math.random() * ((b - a) + 1)) + a; //addtional range includes boundries of a and b.\r\n\t\tSystem.out.println(n);\r\n\r\n //---------------write your code ABOVE this line only!--------------\r\n }","title":""},{"docid":"dbde72a16df1389cad926e2eec8fcae2","score":"0.5716113","text":"public static void main(String args[]){\n Scanner sc=new Scanner(System.in);\n int size=sc.nextInt();\n int[] a=new int[size];\n for(int i=0;i<size;i++)\n {\n a[i]=sc.nextInt();\n }\n int great=1;\n for(int i=0;i<size;i++)\n {\n \n if(a[i]>great)\n great=a[i];\n \n }\n System.out.println(great);\n }","title":""},{"docid":"3e69e3d0a8c6b7c80abf5708ce233ded","score":"0.5709968","text":"public int size() {\n return n;\r\n}","title":""}],"string":"[\n {\n \"docid\": \"471fcb171ff17382180ac9e3527a0671\",\n \"score\": \"0.69301945\",\n \"text\": \"public static void main(String[] args) {\\n\\r\\n\\r\\n\\r\\n\\r\\n Scanner sc = new Scanner(System.in);\\r\\n\\r\\n int n = sc.nextInt();\\r\\n int[] arr = new int[n];\\r\\n \\r\\n for(int i=1; i<n; i++) {\\r\\n arr[i] = sc.nextInt();\\r\\n }\\r\\n\\r\\n \\r\\n for(int i=0; i<n; i++) {\\r\\n System.out.println(arr[i]+ \\\" \\\");\\r\\n } \\r\\n \\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"95a1701503ab9410484aff1e94a7784e\",\n \"score\": \"0.6627689\",\n \"text\": \"public static void main(String[] args) throws Exception\\n\\t{\\n\\t\\tBufferedReader sc = new BufferedReader(new InputStreamReader(System.in));\\n\\t\\tint s=(Integer)sc.read();\\n\\t\\t//System.out.println(\\\"enter num\\\");\\n\\t\\t//int s = sc.nextInt();\\n\\t\\tfor(int i=0;i<=s;i++)\\n\\t\\t{\\n\\t\\t\\tSystem.out.println(i+\\\" \\\");\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"545e7a23cb7bcf76ba652aa3c7396bc5\",\n \"score\": \"0.6626262\",\n \"text\": \"public static void main(String[] args) {\\n Scanner sc=new Scanner(System.in);\\n String s=sc.nextLine();\\n\\t\\tint N=sc.nextInt();\\n\\t\\t//String s=sc.nextLine();\\n\\t\\tint result=1;\\n\\t\\tfor(int i=1;i<=10;i++)\\n\\t\\t{\\n\\t\\tresult=N*i;\\n\\t\\tSystem.out.printf(\\\"%d x %d = %d \\\\n\\\", N, i, result);\\n\\t\\t}\\n\\t\\tSystem.out.println(\\\"String=\\\" +s);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"38a54fe03d7af827f36857f6d7e15687\",\n \"score\": \"0.6577492\",\n \"text\": \"public static int getSize() {\\r\\n\\t\\t// Declare Scanner object.\\r\\n\\t\\tScanner input = new Scanner(System.in);\\r\\n\\t\\tSystem.out.print(\\\"Enter matrix size: \\\");\\r\\n\\t\\tint size = input.nextInt();\\r\\n\\t\\treturn size;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b58139fe1d23636ae021dab7bc289e8f\",\n \"score\": \"0.6569327\",\n \"text\": \"public static void main(String[] args) {\\n\\t Scanner s = new Scanner(System.in);\\n\\t int n = s.nextInt();\\n\\t s.nextLine();\\n\\t ArrayList<E> a[] = new ArrayList<E>(5);\\n\\t for (int j =0;j<n-1;j++){\\n\\t \\tint k = s.nextInt();\\n\\t for(int i=0;i<k-1;i++){\\n\\t s.nextInt();\\n\\t }\\n\\t s.nextLine();\\n\\t }\\n\\t System.out.println(a[1][1]);\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad5379af6cf67ca44073e5722d7045df\",\n \"score\": \"0.6534433\",\n \"text\": \"private static void getSizeFromUserInput()\\n {\\n String input = JOptionPane.showInputDialog(frame, \\\"Hello, please enter the number corresponding to which puzzle size you would like to solve (8 or 15)\\\");\\n\\n // input has not yet been validated\\n boolean inputValidated = false;\\n\\n // continue checking new inputs until a valid input has been entered\\n while (!inputValidated)\\n {\\n // use scanner to parse integers from input string\\n Scanner scanner = new Scanner(input);\\n\\n // check for valid int input\\n if (scanner.hasNextInt())\\n {\\n int val = scanner.nextInt();\\n // if this was the only value entered AND it equals 8 or 15, the input is valid\\n if (!scanner.hasNext() && (val == 8 || val == 15))\\n {\\n inputValidated = true;\\n size = val;\\n }\\n }\\n // if invalid input, ask the user for new input\\n if (!inputValidated)\\n {\\n input = JOptionPane.showInputDialog(frame, \\\"Your input was not valid. Please re-enter either 8 or 15 for your puzzle size.\\\");\\n }\\n scanner.close();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2830dc7d6c51a46d80016dcba7baec1d\",\n \"score\": \"0.64167744\",\n \"text\": \"public static void main(String args[]){\\n Scanner s=new Scanner(System.in);\\n int n=s.nextInt();\\n int arr[]= new int[n];\\n for(int i=0;i<n;i++)\\n {\\n arr[i]=s.nextInt();\\n }\\n Arrays.sort(arr);\\n System.out.println(arr[n-1]);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"83fbacfdd768ed32fe3d8e4147ca6c15\",\n \"score\": \"0.6399325\",\n \"text\": \"public static void main(String args[]){\\n Scanner s = new Scanner(System.in);\\n int n = s.nextInt();\\n int arr[] = new int[n];\\n for(int i = 0 ;i < n ; i++)\\n {\\n arr[i] = s.nextInt();\\n }\\n int se = s.nextInt();\\n int ss1 = s.nextInt();\\n for(int i = 0 ;i < n ; i++)\\n {\\n if(arr[i] == se )\\n {\\n \\tSystem.out.println(i);\\n }\\n if( arr[i] == ss1)\\n {\\n System.out.println(i);\\n }\\n }\\n \\n\\tif(ss1 >= 1000){ System.out.println(\\\"-1\\\");}\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"09c254dab7645a6f4b3ce7a4ad14c832\",\n \"score\": \"0.63159174\",\n \"text\": \"public static void main(String args[]){\\n Scanner s=new Scanner(System.in);\\n int n=s.nextInt();\\n int[] arr;\\n arr=new int[n];\\n for(int i=0;i<n;i++)\\n arr[i]=s.nextInt();\\n int max=0;\\n for(int i=0;i<n;i++){\\n if(arr[i]>max)\\n max=arr[i];\\n }\\n System.out.print(max);\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93db41a26b0b55f83cc1c3235cbc42ac\",\n \"score\": \"0.63065916\",\n \"text\": \"public static void main(String[] args) {\\n \\tScanner s=new Scanner(System.in);\\n List<Integer> list=new ArrayList<Integer>();\\n int n=s.nextInt();\\n for(int i=0;i<n;i++){\\n list.add(s.nextInt());\\n }\\n int q=s.nextInt();\\n for(int j=0;j<q;j++){\\n String s1 = s.next();\\n if(s1.equals(\\\"Insert\\\"))\\n {\\n int pos = s.nextInt();\\n int val = s.nextInt();\\n list.add(pos,val);\\n }\\n else\\n {\\n int pos = s.nextInt();\\n list.remove(pos);\\n }\\n }\\n Iterator itr=list.iterator();\\n while(itr.hasNext())\\n {\\n System.out.print(itr.next()+\\\" \\\");\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c3c397812c143a33cdce7c8f42763d38\",\n \"score\": \"0.62974405\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner input = new Scanner(System.in);\\n\\t\\tint n = input.nextInt(); ;\\n\\t\\tSystem.out.println(\\\"請輸入一個正整數: \\\");\\n\\t\\t\\n\\t\\tint i = 0;\\n\\t\\tfor (i = 1 ; i <= n ; i++){\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c0c9301ef1fc9a70836859bbbc590dfc\",\n \"score\": \"0.6293338\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner sc = new Scanner(System.in);\\n\\t\\tSystem.out.println(\\\"Enter size of array\\\");\\n\\t\\tArray array = new Array(sc.nextInt());\\n\\t\\tarray.menu();\\n\\t\\tsc.close();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc3cce9568222a2f8f1d57f971711d41\",\n \"score\": \"0.6289445\",\n \"text\": \"private static int[] promptArraySize() {\\n int[] size = new int[2];\\n Scanner input = new Scanner(System.in);\\n System.out.print(\\\"Enter the number of rows and columns in the array: \\\");\\n for (int i = 0; i < 2; i++) {\\n size[i] = input.nextInt();\\n }\\n return size;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7318dcdca5554ac1e950413cf8f7ba0b\",\n \"score\": \"0.62879837\",\n \"text\": \"private static void promptBoardSize() {\\n try {\\n do {\\n if (boardSizeStr.length() > 0) {\\n JOptionPane.showMessageDialog(null, \\\"Please \\\" +\\n \\\"choose a number between 3 and 30\\\",\\n \\\"ERROR\\\",\\n JOptionPane.ERROR_MESSAGE);\\n }\\n boardSizeStr = JOptionPane.showInputDialog(null,\\n \\\"Enter in the size of the board (3-30): \\\");\\n } while (boardSizeStr.equals(\\\"\\\") ||\\n Integer.parseInt(boardSizeStr) < 3 ||\\n Integer.parseInt(boardSizeStr) > 30);\\n } catch (NumberFormatException e) {\\n promptBoardSize();\\n }\\n\\n boardSize = Integer.parseInt(boardSizeStr);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"42849b9ac13883681928f8b36baa932d\",\n \"score\": \"0.62808293\",\n \"text\": \"public static void main(String[] args) {\\n\\r\\n\\t\\t\\r\\n\\t\\tScanner s = new Scanner(System.in);\\r\\n\\t\\tint t = s.nextInt();\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tint [] a=new int[t];\\r\\n\\t\\t\\tfor (int j=0;j<t;j++)\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t{\\t\\t\\t\\r\\n\\t\\t\\t\\tint m = s.nextInt();\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\ta[j]=m;\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\r\\n\\t\\t\\tint n = s.nextInt();\\r\\n print(a,n);\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\r\\n\\t\\r\\n\\t\\r\\n\\t\\r\\n\\t\\r\\n\\t\\r\\n\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5e937c1abafe0a7fd043700e40c61c20\",\n \"score\": \"0.6280229\",\n \"text\": \"public static void main(String[] args) {\\n\\n Scanner in = new Scanner(System.in);\\n int v = in.nextInt();\\n int n = in.nextInt();\\n for (int i = 0; i < n; i++) {\\n if (in.nextInt() == v) {\\n System.out.println(i);\\n break;\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c077e3b6bb0620b79eeaac81916ec26f\",\n \"score\": \"0.6257175\",\n \"text\": \"public static void main(String[] args) {\\n\\r\\n Scanner teclado = new Scanner(System.in);\\r\\n\\r\\n int n;\\r\\n\\r\\n System.out.print(\\\"Introduce un numero: \\\");\\r\\n n = teclado.nextInt();\\r\\n teclado.nextLine();\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e3e756cebdbdb9ab0679766a5eb671d\",\n \"score\": \"0.6237277\",\n \"text\": \"public static void main(String[] args) {\\n// increaseMyInt(n2);\\n// System.out.println(n2);\\n\\n Scanner sc = new Scanner(System.in);\\n System.out.print(\\\"정수 입력 : \\\");\\n int n = 0;\\n String s = sc.nextLine();\\n while (!isInteger(s)) {\\n System.out.print(\\\"잘못된 정수 포맷!!. 정수 다시 입력 : \\\");\\n s = sc.nextLine();\\n }\\n n = Integer.parseInt(s);\\n System.out.println(n);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b158337cedea32fdf7fd1f55668fcc83\",\n \"score\": \"0.6234134\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner sc=new Scanner(System.in);\\n\\t\\tString s=sc.next();\\n\\t\\tint n=sc.nextInt();\\n\\t\\tint count = 0;\\n\\t\\tString str = \\\"\\\";\\n\\t\\tfor(int i=s.length()-1;i>=0;i--){\\n\\t\\t\\tif(count==n) break;\\n//\\t\\t\\tSystem.out.print(s.charAt(i)+\\\"\\\");\\n\\t\\t\\tstr = s.substring(i, i+1)+str;\\n\\t\\t\\tcount++;\\n\\t\\t}\\n\\t\\tSystem.out.println(str);\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"edacd35e6780176ca59d2489ddb3d606\",\n \"score\": \"0.6228703\",\n \"text\": \"public static void main(String[] args) {\\n Scanner sc = new Scanner(System.in);\\n int n = sc.nextInt();\\n int[] arr = new int[n];\\n for(int i = 0; i < n; i++) {\\n arr[i] = sc.nextInt();\\n }\\n partition(arr);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a4222cbecbf320e3f1b4c02932fce7d6\",\n \"score\": \"0.62203914\",\n \"text\": \"public static void main(String[] args) {\\nScanner src=new Scanner (System.in);\\nSystem.out.println(\\\"enter the size of array\\\");\\nint size=src.nextInt();\\nint array[]=new int [size];\\nSystem.out.println(\\\"enter the element \\\");\\nfor(int i=0;i<array.length;i++)\\n{\\n\\tarray[i]=src.nextInt();\\n}\\n for (int i=0;i<array.length;i++)\\n\\tSystem.out.println(\\\"element of array is:\\\"+array[i]);\\n \\n\\t\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f8efbe230b905d637e8f8cc366be6251\",\n \"score\": \"0.62185484\",\n \"text\": \"public static void main(String[] args) {\\r\\n Scanner s = new Scanner(System.in);\\r\\n while (s.hasNext()) {\\r\\n int n = s.nextInt();\\r\\n int k = s.nextInt();\\r\\n System.out.println(createString(n, k));\\r\\n }\\r\\n s.close();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9b03de8c82858d3df67c10296ac88cab\",\n \"score\": \"0.62133044\",\n \"text\": \"public static void main(String args[])\\n {\\n Scanner in=new Scanner(System.in);\\n int n=in.nextInt();\\n int arr[]=new int[n];\\n for(int i=0;i<n;i++)\\n {\\n arr[i]=in.nextInt();\\n }\\n sum(arr,n);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2eb14297eb76bdc791c22a2dc9180ab6\",\n \"score\": \"0.618854\",\n \"text\": \"public int askForQuantityOfConfigurations(){\\n Scanner input = new Scanner(System.in);\\n String quantity = \\\"2\\\";\\n \\n while(Integer.parseInt(quantity) < 3){\\n System.out.print(\\\"\\\\nHow many random configurations do you want \\\"\\n + \\\"to create for learned heuristic?(n>=3): \\\");\\n quantity = input.next();\\n if(!isNumber(quantity)){\\n System.out.println(\\\"Eror \\\" + quantity + \\\"is not a number!\\\");\\n quantity = \\\"2\\\";\\n }\\n }\\n \\n return Integer.parseInt(quantity);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2225d6c3876b33d9128b117c3bb8c4c2\",\n \"score\": \"0.6161819\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner sc=new Scanner(System.in);\\r\\n\\t\\tSystem.out.println(\\\"ENter size of input array\\\");\\r\\n\\t\\tint n= sc.nextInt();\\r\\n\\t\\tint array[]=new int[n];\\r\\n\\t\\tSystem.out.println(\\\"Enter Array elements\\\");\\r\\n\\t\\tfor(int i=0;i<n;i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tarray[i]=sc.nextInt();\\r\\n\\t\\t}\\r\\n\\t\\tchangeArr(array);\\r\\n\\t\\tSystem.out.println(\\\"required array is\\\\n \\\");\\r\\n\\t\\tfor(int e : array)\\r\\n\\t\\t{\\r\\n\\t\\t\\tSystem.out.print(e+\\\" \\\");\\r\\n\\t\\t}\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6eca8a2944c746e6100971e9e841f40e\",\n \"score\": \"0.6145524\",\n \"text\": \"public static void main(String[] args) \\n {\\n Scanner sc=new Scanner(System.in);\\n int n=sc.nextInt();\\n int s=summ(n);\\n System.out.print(s);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86b97aec62a424cc27e6465a11ebad57\",\n \"score\": \"0.61183596\",\n \"text\": \"public static void main(String[] args) {\\nScanner scn=new Scanner(System.in);\\nint n=scn.nextInt();\\nfor(int i=1;i*i<=n;i++) {\\n\\tSystem.out.println(i*i);\\n}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"820994998a5f356449e6134528c24610\",\n \"score\": \"0.60964566\",\n \"text\": \"public static void main(String args[]) {\\n Scanner in = new Scanner (System.in);\\n int n= in.nextInt();\\n int arr[]= new int[n];\\n for(int i=0;i<n; i++)\\n {\\n arr[i]=in.nextInt();\\n }\\n move(n,arr);\\n for(int i=0; i<n; i++)\\n {\\n System.out.print(arr[i] + \\\" \\\");\\n }\\n \\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e5ffe0131564dcbb04f939d492146d22\",\n \"score\": \"0.60930926\",\n \"text\": \"public static void main(String[] args) throws IOException {\\n\\t\\t\\n\\t\\tScanner sc = new Scanner(System.in);\\n\\t\\t\\n\\t\\tSystem.out.println(\\\"Please enter the size of array :- \\\");\\n\\t\\tint count = 0;\\n\\t\\tint size = sc.nextInt();\\n\\t\\tint[] arr = new int[size];\\n\\t\\twhile(count < size)\\n\\t\\t{\\n\\t\\t\\tSystem.out.println(\\\"Enter elements : \\\");\\n\\t\\t\\tarr[count] = sc.nextInt();\\n\\t\\t\\tcount++;\\n\\t\\t}\\n\\t\\t\\n\\t\\t System.out.println(\\\"Size of the array is : \\\"+size);\\n\\t\\t System.out.println(\\\"elements entered are : \\\");\\n\\t\\tfor(int i : arr){\\n\\t\\t\\tSystem.out.println(i);\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"83affe8b0bdb907c4aa1de9a86e86a21\",\n \"score\": \"0.60612845\",\n \"text\": \"public static void main(String[] args) throws Exception {\\n Scanner input = new Scanner(System.in);\\n int n = input.nextInt();\\n int[][] a = new int[n][n];\\n for(int i = 0;i<n;i++){\\n for(int j = 0;j<n;j++){\\n a[i][j] = input.nextInt();\\n }\\n }\\n \\n for(int d = 0;d<n;d++){\\n for(int i = 0, j = d;j<n;j++, i++){\\n System.out.println(a[i][j]);\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6cf1bffd22154170e50ed470fd6cc2d1\",\n \"score\": \"0.60607684\",\n \"text\": \"private int size() {\\n return n;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c1c10a278ae5af1d4bc50f0b6cb6333e\",\n \"score\": \"0.6046916\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tint n;\\r\\n\\t\\tScanner sc=new Scanner(System.in);\\r\\n\\t\\tSystem.out.println(\\\"enter val of n\\\");\\r\\n\\t\\tn=sc.nextInt();\\r\\n\\t\\tSystem.out.println(\\\"square of \\\" + n + \\\" is \\\" + Math.pow(n,2));\\r\\n\\t\\tSystem.out.println(\\\"cube of \\\" + n + \\\" is \\\" + Math.pow(n,3));\\r\\n\\t\\tSystem.out.println(\\\"square root of \\\" + n + \\\" is \\\" + Math.sqrt(n));\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"69b4e1a93ff1ed12394de1c4c8d0810c\",\n \"score\": \"0.60425884\",\n \"text\": \"public static void main (String[] args) throws IOException {\\n\\t Scanner sc = new Scanner(System.in);\\r\\n\\t\\tint t=sc.nextInt();\\r\\n\\t\\twhile(t-->0){\\r\\n\\t\\t int n=sc.nextInt();\\r\\n\\t\\t int a[]=new int[n];\\r\\n for(int i=0;i<n;i++){\\r\\n a[i]=sc.nextInt();\\r\\n }\\r\\n int k=sc.nextInt();\\r\\n Arrays.sort(a);\\r\\n System.out.println(a[k-1]);\\r\\n\\t}\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"32a9215b1085b92e9ae9047f34d40a8c\",\n \"score\": \"0.6040334\",\n \"text\": \"public static void main(String[] args) {\\n int n;\\n Scanner sc=new Scanner(System.in);\\n n=sc.nextInt();\\n int m=5,s=0;\\n for(int i=0;i<n;i++)\\n {\\n s+=Math.floor(m/2);\\n m=(int)Math.floor(m/2);\\n m=m*3;\\n }\\n System.out.println(s);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a32838cf965ac968e3bfb789feed039d\",\n \"score\": \"0.60382444\",\n \"text\": \"public static void main (String[] args)\\n {\\n Scanner in=new Scanner(System.in);\\n int n=in.nextInt();\\n System.out.print(sum_of_squares(n));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d4100fc2a2b6570ed4c0ae5b46e3a196\",\n \"score\": \"0.6035054\",\n \"text\": \"public static void main(String[] args) {\\n Scanner input = new Scanner(System.in);\\r\\n System.out.println(\\\"Enter the size: \\\");\\r\\n int size = input.nextInt();\\r\\n char a[]= new char[size];\\r\\n for (int i=0;i<size;i++)\\r\\n {\\r\\n a[i] =input.next().charAt(0);\\r\\n }\\r\\n for (char i :a)\\r\\n {\\r\\n System.out.println(i);\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71766c76e3fcee7ca8831b7a27e85dd7\",\n \"score\": \"0.6017641\",\n \"text\": \"public void setInput(int n)\\n {\\n input = n;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2425023854098627ccbeb3d27a55236d\",\n \"score\": \"0.6013168\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner s = new Scanner(System.in);\\r\\n\\t\\tSystem.out.println(\\\"enter the egg contain number\\\");\\r\\n\\t\\tint number=s.nextInt();\\r\\n\\t\\tSystem.out.println(\\\"Harry has to swim at \\\"+number+\\\" metres and must rescue \\\"+number+\\\" sea maidens\\\");\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"44f0ed42bb9cb91de75c81567cd3af5a\",\n \"score\": \"0.60075736\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner s=new Scanner (System.in);\\n int d=0;\\n do {\\n System.out.println(\\\"enter number: \\\");\\n d+=s.nextInt();\\n \\n\\t}while (d<=100);\\n System.out.println(\\\"done: \\\"+d);\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cf835b3440cd4bcad6a4fab0982b35f2\",\n \"score\": \"0.59926605\",\n \"text\": \"public static void main(String[] args) throws NumberFormatException, IOException {\\n\\t\\tBufferedReader br=new BufferedReader(new InputStreamReader(System.in));\\n\\t\\tSystem.out.println(\\\"enter the size of array :\\\");\\n\\t\\tint n=Integer.parseInt(br.readLine());\\n\\t\\tint [] arr=new int[n];\\n\\t\\tint large=0,small=0;\\n\\t\\tfor(int i=0;i<arr.length;i++)\\n\\t\\t{\\n\\t\\t\\tarr[i]=Integer.parseInt(br.readLine());\\n\\t\\t\\tlarge=arr[0];\\n\\t\\t\\tsmall=arr[0];\\n\\t\\t\\tif(arr[i]>large)\\n\\t\\t\\tlarge=arr[i];\\n\\t\\t\\telse if(arr[i]<small)\\n\\t\\t\\t\\tsmall=arr[i];\\n\\t\\t}\\n\\t\\tSystem.out.print(large +\\\" \\\"+small);\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6036aabe9a1c966e3a381c8a98090935\",\n \"score\": \"0.59897494\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tint n;\\n\\t\\tScanner sc = new Scanner(System.in);\\n\\t\\tn = sc.nextInt();\\n\\t\\t\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e23496b7a7b9601642f6f160188505a9\",\n \"score\": \"0.59887207\",\n \"text\": \"private static int readInt() {\\n int input = -1;\\n while (input == -1) {\\n try {\\n input = StdIn.readInt();\\n } catch (InputMismatchException e) {\\n StdOut.println(\\\"Invalid choice, please try again!\\\");\\n StdOut.println(\\\"Enter the number of disks: \\\");\\n }\\n }\\n return input;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4ae0db5b85e5686ad7e51fd59e10f876\",\n \"score\": \"0.5987861\",\n \"text\": \"public static void main(String[] args) {\\n Scanner scanner = new Scanner(System.in);\\n int n = -1;\\n n = scanner.nextInt();\\n\\n // keep taking the input until user types 0\\n while (n != 0){\\n System.out.println(getMinimumStride(n));\\n n = scanner.nextInt();\\n }\\n scanner.close();\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"36d03d91bd414ef7b16c2b4eab9cf5e6\",\n \"score\": \"0.59860057\",\n \"text\": \"private int[] getInput(int size) {\\r\\n\\t\\tint[] input = new int[size];\\r\\n\\t\\tint i = 0;\\r\\n\\r\\n\\t\\tSystem.out.println(\\\"Please enter \\\" + size + \\r\\n\\t\\t\\t\\t\\\" space-separate integers between 1 and 13\\\");\\r\\n\\t\\t\\r\\n\\t\\tScanner in = new Scanner(System.in);\\r\\n\\t\\twhile (i < size) {\\r\\n\\t\\t\\tif (in.hasNext()) {\\r\\n\\t\\t\\t\\tint num = in.nextInt();\\r\\n\\t\\t\\t\\tif (num > 13 || num < 1) {\\r\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"Invalid number. Please enter a number\\\" +\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\\"between 1 and 13\\\");\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\telse {\\r\\n\\t\\t\\t\\t\\tinput[i] = num;\\r\\n\\t\\t\\t\\t\\ti++;\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t\\treturn input;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c85a03e730fed1585f3015857b37490f\",\n \"score\": \"0.59838074\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tSystem.out.println(\\\"Please Enter the size of the array:\\\");\\r\\n\\t\\tScanner sc = new Scanner(System.in);\\r\\n\\t\\tString s = sc.next();\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tint[] array = new int[Integer.parseInt(s)];\\r\\n\\t\\t}catch(NumberFormatException e) {\\r\\n\\t\\t\\tSystem.out.println(\\\"Please enter Numeric Value!\\\");\\r\\n\\t\\t}catch(NegativeArraySizeException e) {\\r\\n\\t\\t\\tSystem.out.println(\\\"Please Enter a Possitive Integer value!\\\");\\r\\n\\t\\t}\\r\\n\\t\\tSystem.out.println(\\\"Your Array Successfully Created :)\\\");\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"132c2f995471dfc2d234a5f1f1ba509f\",\n \"score\": \"0.5969978\",\n \"text\": \"public static void main(String[] args) {\\n\\n\\t\\tScanner s = new Scanner(System.in);\\n\\t\\t\\n\\t\\tint nc = s.nextInt();\\n\\t\\tjava.util.Map<Integer, String> hm = new java.util.HashMap<Integer,String>();\\n\\t\\tfor(int i =0;i<nc;i++){\\n\\t\\t\\t\\n\\t\\t\\thm.put(s.nextInt(),\\t s.next());\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\tint n = s.nextInt();\\n\\t\\t\\n\\t\\tfor(int i=0;i<n;i++){\\n\\t\\t\\tint k = s.nextInt();\\n\\t\\t\\t\\n\\t\\t\\t System.out.println(hm.get(k));\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9adabea52cacf002c5b50a634e0e4d9a\",\n \"score\": \"0.5968815\",\n \"text\": \"int chooseSnackType(){\\r\\n System.out.println(\\\"Choose the snack type by pressing the index number:\\\" + \\\"\\\\n1.\\\" + soda + \\\"\\\\n2.\\\" + choco+ \\\"\\\\n3.\\\" + gum+ \\\"\\\\n4.\\\" + chips);\\r\\n Scanner input = new Scanner(System.in);\\r\\n int index = input.nextInt();\\r\\n while (index > 4 || index <= 0){\\r\\n System.out.println(\\\"Please enter a correct index number\\\");\\r\\n System.out.println(\\\"Choose the snack type by pressing the index number:\\\" + \\\"\\\\n1.\\\" + soda + \\\"\\\\n2.\\\" + choco+ \\\"\\\\n3.\\\" + gum+ \\\"\\\\n4.\\\" + chips);\\r\\n index = input.nextInt();\\r\\n }\\r\\n return index;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dde142d7f01ff282330cff0588c80a02\",\n \"score\": \"0.59654754\",\n \"text\": \"public static void main(String args[])\\n {\\n Scanner in=new Scanner(System.in);\\n int i,s=in.nextInt(),c=0,n=0;\\n int a[]=new int[s];\\n for(i=0;i<s;i++)\\n {\\n a[i]=in.nextInt();\\n }\\n while(++n<s)\\n {\\n c=0;\\n for(i=0;i<s;i++)\\n {\\n if(n==a[i])\\n c++;\\n }\\n if(c==0)\\n System.out.print(n);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b9e7cbf7d68d4824a9d9506aebf8083\",\n \"score\": \"0.5962284\",\n \"text\": \"public static void main(String args[]) {\\n Scanner sc = new Scanner(System.in);\\n int n = sc.nextInt();\\n int a[] = new int[n];\\n for(int i = 0; i < n; i++)\\n {\\n a[i] = sc.nextInt();\\n }\\n zeroes_at_the_end(n,a);\\n for( int i = 0; i < n; i++)\\n {\\n System.out.print(a[i]+\\\" \\\");\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cfdf9e9ad4e3f670d6ca519a01e91785\",\n \"score\": \"0.5954258\",\n \"text\": \"public static void main(String[] args) {\\n Scanner sc = new Scanner(System.in);\\n int n = sc.nextInt();\\n \\n for(int i=1; i*i <= n; i++){\\n System.out.println(i*i);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e1ed3f8bb0b4cdc69d5651ea0745b59\",\n \"score\": \"0.5952048\",\n \"text\": \"public static void main(String[] args) {\\n Scanner in = new Scanner(System.in);\\n int s = in.nextInt();\\n int[] ar = new int[s];\\n for (int i = 0; i < s; i++) {\\n ar[i] = in.nextInt();\\n }\\n insertIntoSorted(ar);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b3d76810094554590f3ef92a0b94137\",\n \"score\": \"0.59287584\",\n \"text\": \"public static void main(String[] args) {\\n\\r\\n Scanner s = new Scanner(System.in);\\r\\n int n = s.nextInt();\\r\\n\\r\\n int factor = 2;\\r\\n if (n == 1 || n == -1 || n == 0) {\\r\\n System.out.print(n);\\r\\n return;\\r\\n }\\r\\n\\r\\n while (n != 1) {\\r\\n if (n % factor == 0) {\\r\\n System.out.print(factor + \\\" \\\");\\r\\n n /= factor;\\r\\n } else\\r\\n factor++;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"621c03d50318a5c95f500c40f33e2758\",\n \"score\": \"0.59275395\",\n \"text\": \"public void setSize(int s)\\r\\n\\t{\\r\\n\\t\\tsize=s;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7abfeca22fbb4065962337babfd23b1c\",\n \"score\": \"0.5924057\",\n \"text\": \"public static void main(String[] args) {\\n\\n Scanner scanner = new Scanner(System.in);\\n System.out.println(\\\" Enter the number : \\\");\\n int n = scanner.nextInt();\\n\\n\\n int f=1,s=1,t;\\n System.out.println(f);\\n System.out.println(s);\\n for(int i=3;i<n;i++)\\n {\\n \\n t=f+s;\\n System.out.println(t);\\n f=s;\\n s=t;\\n }\\n\\n\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8c445cefe9ec740a8782ec227f61a3c2\",\n \"score\": \"0.5923458\",\n \"text\": \"public void setSize(int s){\\n\\t\\tsize = s;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fcb1ca021c673c97b8d4885757858972\",\n \"score\": \"0.59226173\",\n \"text\": \"public int size() { return n; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e30418d87fda48a0d3dc97077a5826d8\",\n \"score\": \"0.5916523\",\n \"text\": \"private int getPopulationSize() {\\r\\n System.out.println(\\\"Enter number for size of starting population (recommended number = 400 | Minimum number = 10): \\\");\\r\\n int initPopulationSize = getUserInput();\\r\\n\\r\\n // this is for if the user inputs nothing and presses enter\\r\\n if (initPopulationSize == -1000000000) {\\r\\n initPopulationSize = 400;\\r\\n }\\r\\n // ensures population size at least 10\\r\\n else if (initPopulationSize < 10) {\\r\\n while (initPopulationSize < 10) {\\r\\n System.out.println(\\\"Please choose larger population size\\\");\\r\\n System.out.println(\\\"Enter number for size of starting population (recommended number = 400 | Minimum number = 10): \\\");\\r\\n initPopulationSize = getUserInput();\\r\\n }\\r\\n }\\r\\n return initPopulationSize;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eb6b27044e72e56c781110cf4a19621b\",\n \"score\": \"0.59161854\",\n \"text\": \"public static void main(String[] args) {\\n Scanner console = new Scanner(System.in);\\n int n = console.nextInt();\\n int sum = 0 ;\\n int counter = 0;\\n while (n>=counter){\\n sum +=counter;\\n counter++;\\n }\\n System.out.println(sum);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0c7b6eaf21decb57297fd3e74a294cc7\",\n \"score\": \"0.59120524\",\n \"text\": \"public static void main(String[] args) {\\r\\n\\tList<Integer> li = new ArrayList<>();\\r\\n\\tScanner sc=new Scanner(System.in);\\r\\n\\tSystem.out.println(\\\"how many numbers you want to add to the ArrayList:\\\");\\r\\n\\ttry {\\r\\n\\t\\tint a=sc.nextInt();\\r\\n\\t\\tfor (int i=1;i<=a;i++) {\\r\\n\\t\\t\\tSystem.out.println(\\\"Enter the \\\"+i+\\\" element:\\\");\\r\\n\\t\\t\\tint c=sc.nextInt();\\r\\n\\t\\t\\tli.add(c);\\r\\n\\t\\t}\\r\\n\\t\\tSystem.out.println(li);\\r\\n\\t\\tsc.close();\\r\\n\\t\\t}\\r\\n\\tcatch (Exception e) {\\r\\n\\t\\te.printStackTrace();\\r\\n\\t}\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9298a5a590f2a90304b6456f778d8533\",\n \"score\": \"0.58945954\",\n \"text\": \"public static void main (String[] args){\\n Scanner in=new Scanner(System.in);\\n int n=in.nextInt();\\n int k;\\n k=sum(n);\\n System.out.println(k);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bcb1944153b8dcaeba202b74b6d4808b\",\n \"score\": \"0.5890966\",\n \"text\": \"public static void main(String[] args) {\\n Scanner sc = new Scanner(System.in);\\n n=sc.nextInt();\\n arr=new int[n];\\n max=new int[n];\\n \\n int q;\\n for(int i=0;i<n;i++)\\n {\\n q=sc.nextInt();\\n switch(q)\\n {\\n case 1:\\n int it=sc.nextInt();\\n push(it);\\n break;\\n case 2:\\n pop();\\n break;\\n case 3:\\n max();\\n break;\\n }\\n \\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0f43f89b43d41289b4b9bde15d9a6212\",\n \"score\": \"0.58845586\",\n \"text\": \"public static int getAndValidateTableSize(int size) {\\n boolean notInt = true;\\n while (notInt) {\\n try {\\n if (size <= 12 && size > 0) {\\n notInt = false;\\n return size;\\n } else {\\n throw new IllegalArgumentException(\\\"The number is out of bounds\\\");\\n }\\n\\n } catch (InputMismatchException e) {\\n System.out.println(\\\"Please enter correct number\\\");\\n }\\n }\\n return 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c9fd0a9ba6aee1ac9e4545260ad617ed\",\n \"score\": \"0.5876299\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tint n,sum=0,i;\\r\\n\\t\\tScanner sc = new Scanner(System.in);\\r\\n\\t\\tSystem.out.println(\\\"Enter Number\\\");\\r\\n\\t\\tn= sc.nextInt();\\r\\n\\t\\tsc.close();\\r\\n\\t\\tfor(i=0;i<=n;i++)\\r\\n\\t\\t{\\r\\n\\t\\t\\tsum = sum + i;\\r\\n\\t\\t\\t\\r\\n\\t\\t}\\r\\n\\t\\tSystem.out.println(\\\"Sum is :\\\"+sum);\\r\\n\\t\\t\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"44366c96a555c476d13392e55127d2b2\",\n \"score\": \"0.5874576\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner in = new Scanner(System.in);\\n\\t int s = in.nextInt();\\n\\t int[] ar = new int[s];\\n\\t for(int i=0;i<s;i++){\\n\\t \\tar[i]=in.nextInt(); \\n\\t }\\n\\t insertIntoSorted(ar);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e0bd4787ee8497b1fae1135a9bba81f\",\n \"score\": \"0.58624095\",\n \"text\": \"public static void main (String[] args){\\n Scanner myScanner = new Scanner(System.in);\\n //initializing the scanner class\\n //prompting user for input \\n System.out.print(\\\"Enter a size for the X\\\" );\\n int size;\\n size = myScanner.nextInt();\\n //Asking for the input\\n //declaring and initializing the user input\\n if(size>100 || size<1){\\n System.out.println(\\\"size invalid\\\");\\n System.exit(-1);\\n //loop thatll provide whether or \\n //not an invalid size was given\\n }\\n //loop to print spaces for the X\\n for (int k=0; k<size; k++){\\n for(int i=0; i<size; i++){\\n if ((size-k) == i + 1){\\n System.out.print(\\\" \\\");\\n }\\n else if (k==i){\\n System.out.print(\\\" \\\");\\n }\\n //loop for printing the stars around the spaces.\\n else {\\n System.out.print(\\\"*\\\");\\n }\\n }\\n System.out.println(\\\"\\\");\\n }\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9c04e2f41f3db0834de04ea2b7878c22\",\n \"score\": \"0.5855356\",\n \"text\": \"public static void main(String args[]){\\n Scanner in=new Scanner(System.in);\\n int n=in.nextInt();\\n int a[ ]=new int[n];\\n int i,count=0,count1=0;\\n for(i=0;i<n;i++)\\n a[i]=in.nextInt();\\n int s1=in.nextInt();\\n int s2=in.nextInt();\\n for(i=0;i<n;i++)\\n {\\n if(a[i]==s1)\\n {\\n System.out.println(i);\\n count++;\\n }\\n if(a[i]==s2)\\n {\\n System.out.println(i);\\n count1++;\\n }\\n } \\n if(count==0)\\n System.out.println(\\\"-1\\\");\\n if(count1==0)\\n System.out.println(\\\"-1\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f89fe7b201d9c7831bd0fe076ed19f59\",\n \"score\": \"0.5843261\",\n \"text\": \"public int getAeroplaneQuantity(){\\n\\n Scanner input = new Scanner(System.in);\\n return input.nextInt();\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23b8390fcb6eae4879d576eacf8288e4\",\n \"score\": \"0.58430207\",\n \"text\": \"public static void main(String[] args) {\\n \\n int a=1,b=1,c=0;\\n Scanner input =new Scanner(System.in);\\n System.out.println(\\\"Enter the number:\\\");\\n int n = input.nextInt();\\n System.out.println(\\\"error\\\");\\n \\n while(c<=n)\\n {\\n c = a+b;\\n if (c>=n)\\n {\\n break;\\n }\\n System.out.println(c+ \\\" \\\");\\n a=b;\\n b=c;\\n \\n }\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a2a736c8d9cc7eab2b2d3a5feff9d222\",\n \"score\": \"0.5837779\",\n \"text\": \"public int size(){\\n return n;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"08c02a39cd6602c9674b7797ac4b6886\",\n \"score\": \"0.5835983\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tint n;\\n\\t\\tInteger j;\\n\\t\\tScanner in=new Scanner(System.in);\\n\\t\\tSystem.out.println(\\\"Enter the array limit: \\\");\\n\\t\\tn=in.nextInt();\\n\\t\\tint arr[]=new int[n];\\n\\t\\tSystem.out.println(\\\"Enter the array values: \\\");\\n\\t\\tfor(int i=0;i<n;i++){\\n\\t\\t\\tarr[i]=in.nextInt();\\n\\t\\t}\\n\\t\\tSystem.out.println(\\\"Your array values: \\\");\\n\\t\\tfor(int i=0;i<n;i++){\\n\\t\\t\\tSystem.out.print(\\\" \\\"+arr[i]);\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0fe9d2ba9f600c11172bcb37cc142f4c\",\n \"score\": \"0.5816486\",\n \"text\": \"public static void main(String args[]) {\\n\\t\\r\\n\\tScanner sc= new Scanner(System.in);\\r\\n\\tint a=sc.nextInt();\\r\\n\\tint b=sc.nextInt();\\r\\n\\tint c=sc.nextInt();\\r\\n\\t\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac836e8ac405e85b25cb7de08ba8b5ef\",\n \"score\": \"0.58069426\",\n \"text\": \"public static void main(String[] args) {\\n\\n Scanner sc = new Scanner(System.in);\\n int numero = sc.nextInt();\\n int numero2 = sc.nextInt();\\n System.out.print(numero2+\\\" \\\");\\n System.out.println(numero);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f8c8e0de649705fb1901565b591cbbbb\",\n \"score\": \"0.58064926\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner sc = new Scanner(System.in);\\n\\t\\tSystem.out.println(\\\"Enter the size of array\\\");\\n\\t\\tint size = sc.nextInt();\\n\\t\\tint array[]= new int [size];\\n\\t\\tint squareRoot[]= new int [size];\\n\\n\\n\\t\\tSystem.out.println(\\\"enter the elements\\\");\\n\\t\\tfor(int i =0; i<size;i++) {\\n\\t\\t\\tarray[i]=sc.nextInt();\\n\\t\\t\\tsquareRoot[i]=(int) Math.sqrt(array[i]);\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t}\\n\\t\\tSystem.out.println(Arrays.toString(squareRoot));\\n\\t\\tsc.close();\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd9c1d7590b032f3c58e509b24ce270c\",\n \"score\": \"0.580491\",\n \"text\": \"public void setSize(int s) {\\n size = s;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b8517bec0f49c866b758f2f6e655c2a4\",\n \"score\": \"0.5802906\",\n \"text\": \"public int getRandomSize()\\n {\\n return randomSize = rand.nextInt(200) + 10;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5e21220e7373fc8370ed09317ed31e99\",\n \"score\": \"0.579763\",\n \"text\": \"public static void main (String[] args){\\n Scanner in = new Scanner(System.in);\\n int n= in.nextInt();\\n int r,c;\\n for(r=1;r<=n;r++){\\n for(c=1;c<=r;c++){\\n System.out.print(\\\"\\\"+r);\\n }\\n System.out.println(\\\"\\\");}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"65526a08442859908b9cfd8b372a2f04\",\n \"score\": \"0.57976\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\t\\r\\n\\t\\tScanner s=new Scanner(System.in);\\r\\n\\t\\t\\r\\n\\t\\tint r;int i;\\r\\n\\t\\tint fact=1;int sum=0;\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tSystem.out.println(\\\" enter the number\\\");\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"462e2df47bcfd256b821c3b3704d4355\",\n \"score\": \"0.5797317\",\n \"text\": \"public int size() {\\n return n;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a0a1f315a82d4832976f92cc2ef2f019\",\n \"score\": \"0.5788588\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner sc = new Scanner(System.in);\\r\\n\\t\\tint repeat = sc.nextInt();\\r\\n\\t\\tfor (int i =0; i < repeat; ++i){\\r\\n\\t\\t\\tint n = sc.nextInt();\\r\\n\\t\\t\\tint[] a = new int[n];\\r\\n\\t\\t\\tfor (int j = 0; j < n; ++j){\\r\\n\\t\\t\\t\\ta[j] = sc.nextInt();\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tfor (int b = (n-1); b >=0; --b){\\r\\n\\t\\t\\t\\tSystem.out.print(a[b] + \\\" \\\");\\r\\n\\t\\t\\t\\tif(b==0){\\r\\n\\t\\t\\t\\t\\tSystem.out.print(\\\"\\\\n\\\");\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c432e3dc5ce7ebcc5f1678ac5c212e33\",\n \"score\": \"0.5786731\",\n \"text\": \"private static int getN ()\\n {\\n int inputInt = 1;\\n BufferedReader in = new BufferedReader (new InputStreamReader (System.in));\\n String inStr;\\n\\n try\\n {\\n inStr = in.readLine ();\\n inputInt = Integer.parseInt(inStr);\\n }\\n catch (IOException e)\\n {\\n System.out.println (\\\"Could not read input, choosing 1.\\\");\\n }\\n catch (NumberFormatException e)\\n {\\n System.out.println (\\\"Entry must be a number, choosing 1.\\\");\\n }\\n\\n return (inputInt);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"294d0a0e05959fd77705c8a0e5df918f\",\n \"score\": \"0.57855207\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner in = new Scanner(System.in);\\n\\t\\tint s = in.nextInt();\\n\\t\\tint[] ar = new int[s];\\n\\t\\tfor(int i=0;i<s;i++){\\n\\t\\t\\tar[i]=in.nextInt();\\n\\t\\t}\\n\\t\\tinsertIntoSorted(ar);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a5766ff63f216ce963ac83675ff3e143\",\n \"score\": \"0.57812023\",\n \"text\": \"static void menu(){\\n System.out.println(\\\"##########################\\\");\\n System.out.println(\\\"##### Number Program #####\\\");\\n System.out.println(\\\"##########################\\\");\\n\\n System.out.println(\\\"Please enter 5 numbers and we will do the following:\\\");\\n System.out.println(\\\"Find the sum\\\");\\n System.out.println(\\\"Find the product\\\");\\n System.out.println(\\\"Find the largest\\\");\\n System.out.println(\\\"Find the smallest\\\");\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"25a6e7fb2ab781dd94153707b5ecec4c\",\n \"score\": \"0.5769817\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner s=new Scanner(System.in);\\r\\n\\t\\tint n=s.nextInt();\\r\\n\\t\\tSystem.out.println(fm(n));\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"92e2ec68f1828f4acfe048d8cd960a66\",\n \"score\": \"0.576963\",\n \"text\": \"public static void main(String[] args) {\\n\\tint m,n;\\n\\t\\t\\n\\t\\tScanner s=new Scanner(System.in);\\n\\t\\tSystem.out.println(\\\"enter no. of row and column\\\");\\n\\t\\tm=s.nextInt();\\n\\t\\tn=s.nextInt();\\n\\t\\tint i,j;\\n\\t\\tint[][] arr=new int[m][n];\\n\\t\\tSystem.out.println(\\\"enter values\\\");\\n\\t\\tfor(i=0;i<m;i++)\\n\\t\\t{\\n\\t\\t\\tfor(j=0;j<n;j++)\\n\\t\\t\\t{\\n\\t\\t\\t\\tarr[i][j]=s.nextInt();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b0216f88472f856d4e13e70c3f05a69\",\n \"score\": \"0.5762406\",\n \"text\": \"public int size() {\\n return n;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b0216f88472f856d4e13e70c3f05a69\",\n \"score\": \"0.5762406\",\n \"text\": \"public int size() {\\n return n;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ba9ced08a61bc2c2bcadff64d8962023\",\n \"score\": \"0.57609504\",\n \"text\": \"public static int getNoOfGuests() {\\r\\n System.out.println(\\\"Enter no of guests: \\\");\\r\\n return sc.nextInt();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bb1ff4dcdf96cdacbf14558a3aa1a248\",\n \"score\": \"0.575488\",\n \"text\": \"include<stdio.h>\\nint main()\\n{\\n int n;\\n scanf(\\\"%d\\\\n\\\",&n);\\n int arr[n];\\n for(int i=0;i<n;i++)\\n {\\n scanf(\\\"%d \\\",(arr+i));\\n }\\n sum_subsequence(n,arr);\\n return 0;\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7aa5bde064af51a79f9de164488166b\",\n \"score\": \"0.57513815\",\n \"text\": \"public int randomSize(int x) {\\n return (1 + new Random().nextInt(100));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ecac43a578ee9391fab2aace3b87ac0\",\n \"score\": \"0.5751278\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tStockSpanner ss = new StockSpanner();\\n\\t\\tScanner sc = new Scanner(System.in);\\n\\t\\tint n = sc.nextInt();\\n\\t\\tfor (int i = 0; i < n; i++) {\\n\\t\\t\\tSystem.out.println(ss.next(sc.nextInt()));\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"910d4c1488c26871b317a066cd860693\",\n \"score\": \"0.5746791\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner sc=new Scanner(System.in);\\n\\t\\tHashMap <Integer,String> hm=new HashMap();\\n\\t\\thm.put(1, \\\"Rahul\\\");\\n\\t\\thm.put(2, \\\"Venky\\\");\\n\\t\\thm.put(3, \\\"Ashutosh\\\");\\n\\t\\thm.put(4, \\\"Tushar\\\");\\n\\t\\tSystem.out.println(hm.size());\\n\\t\\tSystem.out.println(\\\"Enter the key\\\");\\n\\t\\tint a=sc.nextInt();\\n\\t\\tif(a<=hm.size()) {\\n\\t\\t\\tSystem.out.println(\\\"The value associated with key is\\\"+hm.get(a));\\n\\t\\t}\\n\\t\\telse {\\n\\t\\t\\tSystem.out.println(\\\"The hashmap dose not contain the specified key\\\");\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d89ba5d5cc98116a2ee1ab2e83efe1ca\",\n \"score\": \"0.5745171\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner sc=new Scanner(System.in);\\r\\n\\t\\tSystem.out.println(\\\"size\\\");\\r\\nint a=sc.nextInt();\\r\\n\\t\\t\\r\\n\\t\\tint[]x=new int[a];\\r\\n\\t\\tfor(int i=0;i<a;i++){\\r\\n\\t\\t\\tx[i]=sc.nextInt();\\r\\n\\t\\t\\t}\\r\\n\\t\\tSystem.out.println(\\\"target\\\");\\r\\n\\t\\tint t=sc.nextInt();\\r\\n\\t\\tArrays.sort(x);\\r\\n\\t\\tfor(int i=0;i<a;i++){\\r\\n\\t\\t\\tfor(int j=i+1;j<a;j++){\\r\\n\\t\\t\\t\\tif (x[i]+x[j]==t){\\r\\n\\t\\t\\t\\t\\tSystem.out.println(x[i]+\\\",\\\"+x[j]);\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a6d8eae176cfb6f04dfeba7ed0828668\",\n \"score\": \"0.57422835\",\n \"text\": \"public static void main(String[] args){\\n Scanner inputScanner = new Scanner(System.in);\\n String input = inputScanner.nextLine();\\n for(int i=1;i<10;i++){\\n\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1b27bf373efd1f4671beb45dcf00897b\",\n \"score\": \"0.57367814\",\n \"text\": \"public static void main(String args[])\\n {\\n Scanner sc=new Scanner(System.in);\\n int n=sc.nextInt();\\n int a[]=new int[n];\\n for(int i=0;i<n;i++)\\n a[i]=sc.nextInt();\\n if(a[0]==1 && a[1]!=2)\\n System.out.println(\\\"Perfect Batch\\\");\\n else if(a[1]==2)\\n System.out.println(\\\"Not a Perfect Batch\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"35fe37f451ce81d0c2fb54b84864bfee\",\n \"score\": \"0.57316756\",\n \"text\": \"public void setSize(int s) {\\n\\t\\tsize = s;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dfa8d45478d1c2bac6ea81f5672c346e\",\n \"score\": \"0.5730631\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tint n,count=0;\\n\\t\\tScanner sc=new Scanner(System.in);\\n\\t\\tn=sc.nextInt();\\n\\t\\tif(n<0 || n%2!=0) {\\n\\t\\t\\tSystem.out.println(\\\"invalid array size\\\");\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\tint a[]=new int[n];\\n\\t\\t\\tfor(int i=0;i<n;i++) {\\n\\t\\t\\t\\ta[i]=sc.nextInt();\\n\\t\\t\\t\\tif(a[i]<0) {\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"invalid input\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tfor(int i=1;i<n;i=i+2) {\\n\\t\\t\\t\\tif(a[i]>=70)\\n\\t\\t\\t\\t\\tcount++;\\n\\t\\t\\t}\\n\\t\\t\\tSystem.out.println(count);\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7f9774e54b8b013e3470e2c80f66c1e1\",\n \"score\": \"0.5723296\",\n \"text\": \"public static void main(String[] args) {\\n Scanner in = new Scanner(System.in);\\n int n = in.nextInt();\\n int k = in.nextInt();\\n int q = in.nextInt();\\n\\n int[] array = new int[n];\\n for(int i=0; i<n; i++) {\\n array[i] = in.nextInt();\\n }\\n int queryIndex, rotation, rotationIndex;\\n while(in.hasNextInt()){\\n queryIndex = in.nextInt();\\n if(k>n-1) {\\n rotation = k%n;\\n } else {\\n rotation = k-1;\\n }\\n rotationIndex = queryIndex + rotation;\\n if(rotationIndex>n-1) {\\n rotationIndex = rotationIndex%n;\\n }\\n System.out.println(array[rotationIndex]);\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"96e3554e76323f6b5ccb1a83d0263d1e\",\n \"score\": \"0.5722285\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner in = new Scanner(System.in); \\n int s = in.nextInt(); \\n \\n Scanner inn = new Scanner(System.in); \\n int ss = inn.nextInt(); \\n \\n int add = s+ss;\\n \\n System.out.println(\\\"The Sum of \\\"+s+\\\" and \\\"+ss+\\\" is \\\"+add);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"58a84dd928a0b0971299514989a046d4\",\n \"score\": \"0.57184386\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tScanner myScanner = new Scanner (System.in);\\r\\n\\t\\tint a = myScanner.nextInt();\\r\\n\\t\\tint b = myScanner.nextInt();\\r\\n\\t\\tint n = (int) (Math.random() * ((b - a) + 1)) + a; //addtional range includes boundries of a and b.\\r\\n\\t\\tSystem.out.println(n);\\r\\n\\r\\n //---------------write your code ABOVE this line only!--------------\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dbde72a16df1389cad926e2eec8fcae2\",\n \"score\": \"0.5716113\",\n \"text\": \"public static void main(String args[]){\\n Scanner sc=new Scanner(System.in);\\n int size=sc.nextInt();\\n int[] a=new int[size];\\n for(int i=0;i<size;i++)\\n {\\n a[i]=sc.nextInt();\\n }\\n int great=1;\\n for(int i=0;i<size;i++)\\n {\\n \\n if(a[i]>great)\\n great=a[i];\\n \\n }\\n System.out.println(great);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3e69e3d0a8c6b7c80abf5708ce233ded\",\n \"score\": \"0.5709968\",\n \"text\": \"public int size() {\\n return n;\\r\\n}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":992499,"cells":{"query_id":{"kind":"string","value":"f30663803260a5d1bd17269380437777"},"query":{"kind":"string","value":"This cast should not fail as we should not have other implementations of ReadableStringMap in the client."},"positive_passages":{"kind":"list like","value":[{"docid":"ae6bcfcce542764adace5309ea2f993c","score":"0.0","text":"@Override\n public void putAll(ReadableStringMap<V> pairsToAdd) {\n backend.putAll(((JsoStringMap<V>) pairsToAdd).backend);\n }","title":""}],"string":"[\n {\n \"docid\": \"ae6bcfcce542764adace5309ea2f993c\",\n \"score\": \"0.0\",\n \"text\": \"@Override\\n public void putAll(ReadableStringMap<V> pairsToAdd) {\\n backend.putAll(((JsoStringMap<V>) pairsToAdd).backend);\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"bdb8b6c1059bb83d02b4fe3e56b60a1b","score":"0.5714416","text":"public interface MapStringSupport {\n public String getObjectMappedString();\n}","title":""},{"docid":"81d87172c6db0fa30788dc6419174da1","score":"0.5298197","text":"StringMap getAsProperties();","title":""},{"docid":"a16a8e670315bc9006b4e4c71b4945d1","score":"0.5177684","text":"@Override\n public java.util.Map convert(Map source) {\n return this.convert(source, false);\n }","title":""},{"docid":"6e0643db6ba00e44279655b11392e852","score":"0.51370645","text":"public interface StringMapper {\n\n /**\n * Returns the registry for TypeAdapters\n *\n * @return the type adapter registry\n */\n TypeAdapterRegistry getTypeAdapterRegistry();\n\n /**\n * Gets the field value as String\n *\n * @param fieldId field id\n * @return field value as string\n */\n String getAsString(FieldId fieldId);\n\n /**\n * Gets the field value as String\n *\n * @param fieldInfo fieldInfo\n * @return field value as string\n */\n String getAsString(FieldInfo fieldInfo);\n\n /**\n * Sets the field value from String\n *\n * @param fieldId field id\n * @param value value as string\n */\n void setAsString(FieldId fieldId, String value);\n\n /**\n * Sets the field value from String\n *\n * @param fieldInfo field id\n * @param value value as string\n */\n void setAsString(FieldInfo fieldInfo, String value);\n}","title":""},{"docid":"40934b56010e66f0b32bb2d3c51d2154","score":"0.5084748","text":"@SuppressWarnings(\"unchecked\")\r\n @Override\r\n public T serializeableToValue(PmAttr<?> pmAttr, Serializable s) {\r\n return (T) s;\r\n }","title":""},{"docid":"c767d758d8c24d024f6e96f08938117f","score":"0.5083573","text":"public void setStringMap(String str, Map<String, String> map) {\n throw new UnsupportedOperationException(\"String map not supported\");\n }","title":""},{"docid":"877d5f043951dfd559fd05256cc374eb","score":"0.507514","text":"public void setStringMapInternal(Field<?, ?> field, String str, Map<String, String> map) {\n setStringMap(str, map);\n }","title":""},{"docid":"09cd0f55a54c465c71b8d19bb0661b8f","score":"0.5071186","text":"public interface AutoConvert {\n HashMap<String, String> getConvertMap();\n}","title":""},{"docid":"fcf5b94896a943f3237fafabcc936860","score":"0.5027257","text":"Object stringToValue(Key<?> key, String cdata) throws IOException;","title":""},{"docid":"33741c9dda6f24b16d963389f654f01f","score":"0.4933685","text":"public static Map<String, String> readStringStringMap(InputStream is) throws IOException {\r\n int size = readInt(is);\r\n Map<String, String> result = (size == 0)\r\n ? Collections.<String, String>emptyMap()\r\n : new HashMap<String, String>(size);\r\n for (int i = 0; i < size; i++) {\r\n String key = readString(is).intern();\r\n String value = readString(is).intern();\r\n result.put(key, value);\r\n }\r\n return result;\r\n }","title":""},{"docid":"d5f42f9ee1630b261c9979ba700c6687","score":"0.49310797","text":"Object convert(String s) throws IllegalArgumentException;","title":""},{"docid":"851422f6d8be1d7bc754bc4ea5c83a30","score":"0.49240112","text":"protected StringMap(int stringMinLength, int stringMaxLength, String mappedFromEntityName, String mappedToEntityName) {\n this.stringMinLength = stringMinLength;\n this.stringMaxLength = stringMaxLength;\n this.mappedFromEntityName = mappedFromEntityName;\n this.mappedToEntityName = mappedToEntityName;\n }","title":""},{"docid":"addaff406783b3eb0492ec6cc9f21f3e","score":"0.49011087","text":"static Object convertToObject(final String value, final Type genericType) {\n if (value == null) {\n return null;\n }\n\n Class<?> type = getDataType(genericType);\n\n try {\n if (type.equals(String.class)) {\n return value;\n } else if (type.equals(Byte.class) || type.equals(byte.class)) {\n return Byte.valueOf(value);\n } else if (type.equals(Integer.class) || type.equals(int.class)) {\n return Integer.valueOf(value);\n } else if (type.equals(Long.class) || type.equals(long.class)) {\n return Long.valueOf(value);\n } else if (type.equals(Short.class) || type.equals(short.class)) {\n return Short.valueOf(value);\n } else if (type.equals(Float.class) || type.equals(float.class)) {\n return Float.valueOf(value);\n } else if (type.equals(Double.class) || type.equals(double.class)) {\n return Double.valueOf(value);\n } else if (type.equals(Boolean.class) || type.equals(boolean.class)) {\n return parseBoolean(value);\n } else if ((type.equals(Character.class) || type.equals(char.class)) && value.length() > 0) {\n return value.charAt(0);\n } else if (List.class.isAssignableFrom(type)) {\n // determine the type of the list items\n final Class<?> itemType = getGenericsParam(genericType, 0);\n return stringToList(value, itemType);\n } else if (Map.class.isAssignableFrom(type)) {\n // determine the types of the keys and values\n final Class<?> keyType = getGenericsParam(genericType, 0);\n final Class<?> valueType = getGenericsParam(genericType, 1);\n return stringToMap(value, keyType, valueType);\n } else if (type.equals(DocRef.class)) {\n return stringToDocRef(value);\n } else if (Enum.class.isAssignableFrom(type)) {\n return stringToEnum(value, type);\n } else if (Path.class.isAssignableFrom(type)) {\n return Path.of(value);\n } else if (StroomDuration.class.isAssignableFrom(type)) {\n return StroomDuration.parse(value);\n } else if (ByteSize.class.isAssignableFrom(type)) {\n return ByteSize.parse(value);\n }\n } catch (Exception e) {\n // Don't include the original exception else gwt uses the msg of the\n // original which is not very user friendly. Enable debug to see the stack\n LOGGER.debug(LogUtil.message(\n \"Unable to convert value [{}] to type {} due to: {}\",\n value, genericType, e.getMessage()), e);\n throw new ConfigPropertyValidationException(LogUtil.message(\n \"Unable to convert value [{}] to type {} due to: {}\",\n value, getDataTypeName(genericType), e.getMessage()), e);\n }\n\n LOGGER.error(\"Unable to convert value [{}] of type [{}] to an Object\", value, type);\n throw new ConfigPropertyValidationException(LogUtil.message(\n \"Type [{}] is not supported for value [{}]\", genericType, value));\n }","title":""},{"docid":"0375d14bd229ff740d11a9ed8a2e94fb","score":"0.48176444","text":"public java.util.Map<java.lang.CharSequence,java.lang.CharSequence> getAvroMapOfString() {\n return avroMapOfString;\n }","title":""},{"docid":"746c5f960cb05c5d49401f8ec1cdcf97","score":"0.48161528","text":"protected abstract String asString();","title":""},{"docid":"86e6f3c07f3c1c1844a6c5ad5bb0b551","score":"0.47973803","text":"public java.util.Map<java.lang.CharSequence,java.lang.CharSequence> getAvroMapOfString() {\n return avroMapOfString;\n }","title":""},{"docid":"22fa06b3c73b1f11fcfb216a38633c09","score":"0.478942","text":"abstract String readString();","title":""},{"docid":"d1aca1f16a9a40b4c01fb854e99eaa77","score":"0.47881413","text":"public interface FromString<R> extends java.io.Serializable{\n /**\n * @param from the starting index of this token.\n * @param len the length of this token.\n * @param s the string.\n * @return the object.\n */\n R fromString(int from, int len, String s);\n}","title":""},{"docid":"fa24bf351c248ebf48f2f394cf8aea5d","score":"0.47739515","text":"AbstractReadableMap (){\r\n entries =GenericArrayHelper.newEntryArrayOfSize(10);\r\n }","title":""},{"docid":"634ddbd3b249e6f3418c05b4fdc0b2b8","score":"0.47677302","text":"public final IObjectWrapper mo2618a(String str) {\n Parcel t_ = t_();\n t_.writeString(str);\n str = m10545a(2, t_);\n IObjectWrapper a = Stub.m20401a(str.readStrongBinder());\n str.recycle();\n return a;\n }","title":""},{"docid":"71e911b0433daf470e5093664faaf5d9","score":"0.47521657","text":"public void setAvroMapOfString(java.util.Map<java.lang.CharSequence,java.lang.CharSequence> value) {\n this.avroMapOfString = value;\n }","title":""},{"docid":"a98f25047554711a85278d5c25e86ca9","score":"0.47320455","text":"private Map<String, WT> getWrappedBaseMap()\r\n\t{\r\n\t\treturn getWrappedBaseMapForReadOnly();\r\n\t}","title":""},{"docid":"a028a174a4f599bdfa8754852875926c","score":"0.47173953","text":"@Nullable\n @Override\n public T getValue()\n {\n return m__strValue;\n }","title":""},{"docid":"8ca4345f8717e667d997403ab7304a67","score":"0.46980307","text":"public T valueOf(String readValue) {\n T mappedValue = this.mapper.map(readValue);\n Optional<String> validationError = this.validator.validate(mappedValue);\n if(validationError.isPresent()) {\n throw new CfInvalidConfigurationException(\n this,\n readValue,\n validationError.get());\n }\n return mappedValue;\n }","title":""},{"docid":"fbf1afc22f9233141ac5acd7b21176e7","score":"0.4672195","text":"private static String parseString(JSONObject dataMap, String fieldName)\n {\n String ret;\n\n String element = (String) dataMap.get(fieldName);\n int numParts = Integer.parseInt(SystemConfiguration.getProperty(\"pir.stringBits\")) / dataPartitionBitSize;\n int len = numParts;\n if (element.length() < numParts)\n {\n len = element.length();\n }\n ret = new String(element.getBytes(), 0, len);\n\n return ret;\n }","title":""},{"docid":"200c3769eb8de6801539646b06c0ecb4","score":"0.46511036","text":"public interface CMReadable extends CMCommon\r\n{\r\n\tpublic boolean isReadable();\r\n\tpublic String readableText();\r\n\tpublic void setReadableText(String S);\r\n}","title":""},{"docid":"47f6677aab6b6950e879990929ff5217","score":"0.46297026","text":"public interface SimpleReader {\n\n\tpublic Map<String, DomainSet> read(final Reader reader);\n}","title":""},{"docid":"ab4c05bbca9ac94076ea40a493d3a659","score":"0.4613433","text":"@Override\n\tpublic String doConversion (String value)\n\t{\n\t\treturn value;\n\t}","title":""},{"docid":"3f077205a60db368fbb583828c245748","score":"0.46076953","text":"private Object readResolve() {\r\n/* 145 */ return valueOf(this.stringValue);\r\n/* */ }","title":""},{"docid":"8a9a30fa67d23b1b12fab3d8a812e874","score":"0.45901838","text":"public interface Writable {\n\n\tvoid write(String s);\n\t\n}","title":""},{"docid":"8236098de4e3e4daf0cf1068b53806b2","score":"0.45798618","text":"@FunctionalInterface\n private interface SC {\n /**\n * Convert a string onto an object.\n * @param s String.\n * @return An object.\n * @throws IllegalArgumentException If the string format is invalid.\n */\n Object convert(String s) throws IllegalArgumentException;\n }","title":""},{"docid":"7850866e28abfd763da9441838dcee11","score":"0.45703274","text":"@Override\n\tpublic Map<String, String> toMap() {\n\t\treturn null;\n\t}","title":""},{"docid":"0f0f92a9e42fd73a725e2ef1500b4a32","score":"0.45614585","text":"protected String asString(Object value) {\r\n \treturn (String) value;\r\n }","title":""},{"docid":"372da2aebae48cf1014fa586dd9f54ab","score":"0.45566323","text":"@Stability.Internal\n public Map<String, String> toMap() {\n return Mapper.convertValue(this, new TypeReference<Map<String, String>>() {\n });\n }","title":""},{"docid":"fe4b1a65e35d21fec4f304ed3a17e6e4","score":"0.4526977","text":"private Map<String, String> convertAttributeMaptoSimpleStringMap(Map<String, AttributeValue> attributeValueMap) {\n HashMap<String, String> value = new HashMap<String, String>();\n\n for (final Map.Entry<String, AttributeValue> entry : attributeValueMap.entrySet()) {\n value.put(entry.getKey(), entry.getValue().getS());\n }\n return value;\n }","title":""},{"docid":"b3fb23bbd9b7cefd316fc0eb3d9726dc","score":"0.45223662","text":"private Object readCOSString(COSString string, Object keyBase) throws IOException {\n byte[] bytes = string.getBytes();\n //Be on the safe side and use the byte array to avoid encoding problems\n //as PDFBox doesn't indicate whether the string is just\n //a string (PDF 1.4, 3.2.3) or a text string (PDF 1.4, 3.8.1).\n if (keyBase instanceof COSObject) {\n return cacheClonedObject(keyBase, new PDFString(bytes));\n } else {\n if (PDFString.isUSASCII(bytes)) {\n return cacheClonedObject(keyBase, new String(string.getBytes(), PDFDocument.ENCODING));\n } else {\n return cacheClonedObject(keyBase, bytes);\n }\n }\n }","title":""},{"docid":"a65de759aa24cab8ad5ee102bb369da8","score":"0.45132872","text":"@Override\n\t\t\tpublic Copy fromString(String string) {\n\t\t\t\treturn null;\n\t\t\t}","title":""},{"docid":"70a8053e35052ef736025dab992549e6","score":"0.44885916","text":"Map<String, Object> asMap();","title":""},{"docid":"eecc4979d1dbb4e40138544295452fe9","score":"0.44761375","text":"@Override\n public String getDirectly(String key) {\n return null;\n }","title":""},{"docid":"8a54d8323be62fd2e0e5fe45a9359f78","score":"0.44675463","text":"public com.example.avro.DemoAvroTypes.Builder setAvroMapOfString(java.util.Map<java.lang.CharSequence,java.lang.CharSequence> value) {\n validate(fields()[9], value);\n this.avroMapOfString = value;\n fieldSetFlags()[9] = true;\n return this;\n }","title":""},{"docid":"7c7432101f409fc54b9fb12a04d6f566","score":"0.44653243","text":"public interface StringReader<T> {\n /**\n * Deserialize\n * Read object value from {@link StringAssembler}\n *\n * @param assembler the {@link StringAssembler}\n * @return object value\n */\n T read(StringAssembler assembler);\n}","title":""},{"docid":"f8f26a219481f0ceb6441470f662c839","score":"0.44606858","text":"public static java.util.Map<String, String> readHashMapStringAndString(android.os.Parcel in) {\n if (in == null) {\n return null;\n }\n\n int size = in.readInt();\n if (size == -1) {\n return null;\n }\n\n java.util.Map<String, String> map = new java.util.HashMap<String, String>();\n for (int i = 0; i < size; i++) {\n String key = in.readString();\n map.put(key, in.readString());\n }\n return map;\n }","title":""},{"docid":"8fa06d645c9c5a604f6124e2dd39b6ea","score":"0.44583344","text":"@Override\n public ArrayList<String> getStringArrayList(String key) {\n return super.getStringArrayList(key);\n }","title":""},{"docid":"ac450808eaa198cf294aa35df5a19967","score":"0.4449408","text":"@Override\n public String readUTF() throws IOException {\n final int size = unpackInt();\n //$DELAY$\n return SerializerBase.deserializeString(this, size);\n }","title":""},{"docid":"e38fb25ec28cad824c9cabc55b85a2c6","score":"0.4449067","text":"private String unwrapString(Object value) {\n if (value instanceof List) {\n return (String) ((List) value).get(0);\n } else {\n return (String) value;\n }\n }","title":""},{"docid":"d2695f2e8c456025580b32d20c348898","score":"0.4439257","text":"Map<String, String> toMap();","title":""},{"docid":"a369bf9bf0f234a3d4ea69dec44dadc9","score":"0.44108173","text":"@Override\n public abstract String getStringValue();","title":""},{"docid":"00662b01640bffccfa4e53b8200acc33","score":"0.44026297","text":"public static String toString(Readable r) throws IOException {\n/* 92 */ return toStringBuilder(r).toString();\n/* */ }","title":""},{"docid":"1e3e1165835c5be664098ee471255826","score":"0.4396357","text":"public String getAsString(Object key) {\n Object obj = get(key);\n if (!(obj instanceof CharSequence)) {\n throw new MessageBodyException(new ClassCastException());\n }\n return obj.toString();\n }","title":""},{"docid":"e0d4a2df2c67b7ea2cee60ed83a24c6d","score":"0.4395426","text":"public String getString(String key) {\n\n Object obj = get(key);\n\n try {\n return (String) obj;\n } catch (Exception e) {\n throw new ClassCastException(\"Identified object is not a String.\");\n }\n }","title":""},{"docid":"197880bf9ba7092ff70eb88e73dee67f","score":"0.43886727","text":"@Override\n\tpublic Map<String, Object> read(String nativeIdentity)\n\t\t\tthrows ConnectorException, ObjectNotFoundException, UnsupportedOperationException {\n\t\treturn read(nativeIdentity, false);\n\t}","title":""},{"docid":"a95d49ca2250f936c578376ced8134b7","score":"0.4384442","text":"@Deprecated\n public static Object coerceStringToType(RubyString string, Class target) {\n try {\n ByteList bytes = string.getByteList();\n \n // 1.9 support for encodings\n // TODO: Fix charset use for JRUBY-4553\n if (string.getRuntime().is1_9()) {\n return new String(bytes.getUnsafeBytes(), bytes.begin(), bytes.length(), string.getEncoding().toString());\n }\n \n return RubyEncoding.decodeUTF8(bytes.getUnsafeBytes(), bytes.begin(), bytes.length());\n } catch (UnsupportedEncodingException uee) {\n return string.toString();\n }\n }","title":""},{"docid":"d1cb22bd21efe9ce39565d5f938ea56b","score":"0.43843564","text":"public interface ToStringMaster {\n String string(Object ref);\n\n String string(FieldValueSpec[] fields);\n}","title":""},{"docid":"45231b6c725e3294970f84e058bb0634","score":"0.4381189","text":"@Test\n\tpublic void testConvertToMapWithTransient() {\n\t\tMyValueObject mvo = new MyValueObject();\n\t\tMap<String, Object> map = ReflectionUtils.convertToMap(mvo, true);\n\n\t\tAssert.assertNotNull(map);\n\t\tAssert.assertEquals(18, map.size());\n\n\t\tAssert.assertTrue(map.containsKey(\"bite\"));\n\t\tAssert.assertTrue(map.containsKey(\"chr\"));\n\t\tAssert.assertTrue(map.containsKey(\"shrt\"));\n\t\tAssert.assertTrue(map.containsKey(\"nt\"));\n\t\tAssert.assertTrue(map.containsKey(\"lng\"));\n\t\tAssert.assertTrue(map.containsKey(\"flt\"));\n\t\tAssert.assertTrue(map.containsKey(\"dbl\"));\n\t\tAssert.assertTrue(map.containsKey(\"bln\"));\n\t\tAssert.assertTrue(map.containsKey(\"strng\"));\n\t\tAssert.assertTrue(map.containsKey(\"intArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"charArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"byteArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"shortArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"longArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"floatArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"doubleArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"booleanArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"notToBeSerialized\"));\n\n\t\tAssert.assertEquals(mvo.bite, map.get(\"bite\"));\n\t\tAssert.assertEquals(mvo.chr, map.get(\"chr\"));\n\t\tAssert.assertEquals(mvo.shrt, map.get(\"shrt\"));\n\t\tAssert.assertEquals(mvo.nt, map.get(\"nt\"));\n\t\tAssert.assertEquals(mvo.lng, map.get(\"lng\"));\n\t\tAssert.assertEquals(mvo.flt, map.get(\"flt\"));\n\t\tAssert.assertEquals(mvo.dbl, map.get(\"dbl\"));\n\t\tAssert.assertEquals(mvo.bln, map.get(\"bln\"));\n\t\tAssert.assertEquals(mvo.strng, map.get(\"strng\"));\n\t\tAssert.assertEquals(mvo.intArray, map.get(\"intArray\"));\n\t\tAssert.assertEquals(mvo.charArray, map.get(\"charArray\"));\n\t\tAssert.assertEquals(mvo.byteArray, map.get(\"byteArray\"));\n\t\tAssert.assertEquals(mvo.shortArray, map.get(\"shortArray\"));\n\t\tAssert.assertEquals(mvo.longArray, map.get(\"longArray\"));\n\t\tAssert.assertEquals(mvo.floatArray, map.get(\"floatArray\"));\n\t\tAssert.assertEquals(mvo.doubleArray, map.get(\"doubleArray\"));\n\t\tAssert.assertEquals(mvo.booleanArray, map.get(\"booleanArray\"));\n\t\tAssert.assertEquals(mvo.notToBeSerialized, map.get(\"notToBeSerialized\"));\n\t}","title":""},{"docid":"3dead3ad97ea03a870e3df18009a3acc","score":"0.43652514","text":"@Override\n public void visitString(StringValue s) {\n }","title":""},{"docid":"4c5f3e6224ebeed7bd298c34f3800f35","score":"0.43598282","text":"private static Map<Class<?>, Function<String, Object>> getPrimitiveConverters() {\n Map<Class<?>, Function<String, Object>> converters = new HashMap<>();\n converters.put(String.class, s -> s);\n converters.put(Integer.class, s -> StringUtils.isBlank(s) ? null : Integer.parseInt(s));\n converters.put(Boolean.class, s -> StringUtils.isBlank(s) ? null : Boolean.parseBoolean(s));\n converters.put(Date.class, ConversionUtils::toDate);\n converters.put(Instant.class, ConversionUtils::toInstant);\n converters.put(ZonedDateTime.class, s -> StringUtils.isBlank(s) ? null : ZonedDateTime.parse(s));\n converters.put(OffsetDateTime.class, s -> StringUtils.isBlank(s) ? null : OffsetDateTime.parse(s));\n converters.put(LocalDateTime.class, s -> StringUtils.isBlank(s) ? null : LocalDateTime.parse(s));\n converters.put(LocalDate.class, s -> StringUtils.isBlank(s) ? null : LocalDate.parse(s));\n converters.put(Double.class, s -> StringUtils.isBlank(s) ? null : Double.parseDouble(s));\n converters.put(Long.class, s -> StringUtils.isBlank(s) ? null : Long.parseLong(s));\n converters.put(Short.class, s -> StringUtils.isBlank(s) ? null : Short.parseShort(s));\n converters.put(Float.class, s -> StringUtils.isBlank(s) ? null : Float.parseFloat(s));\n converters.put(Character.class, s -> s.length() == 1 ? s.charAt(0) : null);\n converters.put(BigInteger.class, s -> StringUtils.isBlank(s) ? null : new BigInteger(s));\n converters.put(BigDecimal.class, s -> StringUtils.isBlank(s) ? null : new BigDecimal(s));\n converters.put(Byte.class, s -> StringUtils.isBlank(s) ? null : Byte.parseByte(s));\n converters.put(UUID.class, s -> StringUtils.isBlank(s) ? null : UUID.fromString(s));\n return converters;\n }","title":""},{"docid":"16336860af1621b51a702e394401587e","score":"0.4354503","text":"public abstract Object getValueObject(String str);","title":""},{"docid":"80ce9edb06ed04bdb0e6b8fcd77b5c4a","score":"0.43437925","text":"public String getStringProperty(String key)\r\n {\r\n return (String) map.get(key);\r\n }","title":""},{"docid":"88741d3d4979d566ce4840bbb1a3c226","score":"0.43400636","text":"private Object readResolve() throws ObjectStreamException {\n\t\t\n\t\ttry {\n\t\t\tprocessUnmarshal();\n\t\t} catch (TiledMapFormatException e) {\n\t\t\tthrow new TiledMapUnmarshalException(e);\n\t\t}\n\t\t\n\t\treturn this;\n\t}","title":""},{"docid":"e53b29b030448b25eae6c31ad38f86b5","score":"0.43361977","text":"public String getString() { return str; }","title":""},{"docid":"5351ea702b69af0b457cb654d2f2e6e8","score":"0.43306342","text":"public static Map<String, String> cloneStringStringMap(Map<String, String> stringStringMap) {\n if (Objects.isNull(stringStringMap)) {\n return null;\n }\n return new HashMap<>(stringStringMap);\n }","title":""},{"docid":"a3c638cac0a8700785c2567d9d6c2d93","score":"0.43249524","text":"public T mapString2Value(String pValueString);","title":""},{"docid":"c8eccd30f34e79d76fe0f301d61325d2","score":"0.4321348","text":"public UniqueStringMapInfo(String id, String mapinfo) {\n\t\tthis(id);\n\t\tsetMapInfo(mapinfo);\n\t}","title":""},{"docid":"78eb03a253772943c2a542fb497d4861","score":"0.4320745","text":"private Object readValue(Map.Entry entry)\r\n/* 291: */ {\r\n/* 292:505 */ Object val = entry.getValue();\r\n/* 293:506 */ if ((val instanceof String))\r\n/* 294: */ {\r\n/* 295:507 */ String strVal = (String)val;\r\n/* 296:509 */ if (strVal.startsWith(\"*\"))\r\n/* 297: */ {\r\n/* 298:511 */ String targetName = strVal.substring(1);\r\n/* 299:512 */ if (targetName.startsWith(\"*\")) {\r\n/* 300:514 */ val = targetName;\r\n/* 301: */ } else {\r\n/* 302:517 */ val = new RuntimeBeanReference(targetName);\r\n/* 303: */ }\r\n/* 304: */ }\r\n/* 305: */ }\r\n/* 306:521 */ return val;\r\n/* 307: */ }","title":""},{"docid":"f2def8b5bbf3f2b1d441ae84354c9a71","score":"0.4302881","text":"@Override\n\tpublic synchronized Object getProperty(String key) {\n\t\tObject value = super.getProperty(key);\n\t\tList<String> result = null;\n\t\tif (value instanceof String) {\n\t\t\tresult=new ArrayList<String>();\n\t\t\tresult.add((String)value);\n\t\t}\n\t\telse if (value!=null) {\n\t\t\tresult= (List<String>)value;\n\t\t}\n\t\treturn result;\n\t}","title":""},{"docid":"bfb23cc050a27826437f805cda35e8e8","score":"0.42893353","text":"public void testLazyMap() throws Throwable {\n try {\n {\n // Map of Integer to String\n Text nullSequence = new Text(\"\\\\N\");\n ObjectInspector oi = LazyFactory\n .createLazyObjectInspector(TypeInfoUtils\n .getTypeInfosFromTypeString(\"map<int,string>\").get(0),\n new byte[] {(byte) 1, (byte) 2}, 0, nullSequence, false,\n (byte) 0);\n LazyMap b = (LazyMap) LazyFactory.createLazyObject(oi);\n byte[] data = new byte[] {'2', 2, 'd', 'e', 'f', 1, '-', '1', 2, '\\\\',\n 'N', 1, '0', 2, '0', 1, '8', 2, 'a', 'b', 'c'};\n TestLazyPrimitive.initLazyObject(b, data, 0, data.length);\n\n assertEquals(new Text(\"def\"), ((LazyString) b\n .getMapValueElement(new IntWritable(2))).getWritableObject());\n assertNull(b.getMapValueElement(new IntWritable(-1)));\n assertEquals(new Text(\"0\"), ((LazyString) b\n .getMapValueElement(new IntWritable(0))).getWritableObject());\n assertEquals(new Text(\"abc\"), ((LazyString) b\n .getMapValueElement(new IntWritable(8))).getWritableObject());\n assertNull(b.getMapValueElement(new IntWritable(12345)));\n\n assertEquals(\"{2:'def',-1:null,0:'0',8:'abc'}\".replace('\\'', '\\\"'),\n SerDeUtils.getJSONString(b, oi));\n }\n\n {\n // Map of String to String\n Text nullSequence = new Text(\"\\\\N\");\n ObjectInspector oi = LazyFactory.createLazyObjectInspector(\n TypeInfoUtils.getTypeInfosFromTypeString(\"map<string,string>\").get(\n 0), new byte[] {(byte) '#', (byte) '\\t'}, 0, nullSequence,\n false, (byte) 0);\n LazyMap b = (LazyMap) LazyFactory.createLazyObject(oi);\n byte[] data = new byte[] {'2', '\\t', 'd', '\\t', 'f', '#', '2', '\\t',\n 'd', '#', '-', '1', '#', '0', '\\t', '0', '#', '8', '\\t', 'a', 'b', 'c'};\n TestLazyPrimitive.initLazyObject(b, data, 0, data.length);\n\n assertEquals(new Text(\"d\\tf\"), ((LazyString) b\n .getMapValueElement(new Text(\"2\"))).getWritableObject());\n assertNull(b.getMapValueElement(new Text(\"-1\")));\n assertEquals(new Text(\"0\"), ((LazyString) b\n .getMapValueElement(new Text(\"0\"))).getWritableObject());\n assertEquals(new Text(\"abc\"), ((LazyString) b\n .getMapValueElement(new Text(\"8\"))).getWritableObject());\n assertNull(b.getMapValueElement(new Text(\"-\")));\n\n assertEquals(\"{'2':'d\\\\tf','2':'d','-1':null,'0':'0','8':'abc'}\"\n .replace('\\'', '\\\"'), SerDeUtils.getJSONString(b, oi));\n }\n\n } catch (Throwable e) {\n e.printStackTrace();\n throw e;\n }\n }","title":""},{"docid":"d0ceba6adc6db9dad945dfaa0de9a5fd","score":"0.42879844","text":"public abstract Object stringToValue(String text) throws ParseException;","title":""},{"docid":"5f3c40dc9dab4638057c78234475cb1a","score":"0.4281302","text":"@Override // com.fasterxml.jackson.databind.p537i.p539b.StaticListSerializerBase\n /* renamed from: d */\n public JsonNode mo31674d() {\n return mo31825a(\"string\", true);\n }","title":""},{"docid":"d526b7cee7522e082e646ca9c51935e2","score":"0.42795068","text":"private static <T> StringConverter<T> defaultStringConverter() {\n return new StringConverter<T>() {\n @Override\n public String toString(T t) {\n return t == null ? null : t.toString();\n }\n\n @Override\n public T fromString(String string) {\n return (T) string;\n }\n };\n }","title":""},{"docid":"a92044cd39d6cb50f9c3736b4bd480f6","score":"0.4278278","text":"private String[] getStringArray(String key, NativeObject fromObject) {\n\t\tObject result = fromObject.get(key, null);\n\n\t\tif(result.equals(Scriptable.NOT_FOUND)) {\n\t\t\treturn new String[]{};\n\t\t}\n\n\t\tNativeArray messages = (NativeArray)result;\n\n\t\tString[] output = new String[((Long)messages.getLength()).intValue()];\n\n\t\tfor(int index = 0; index < messages.getLength(); index++) {\n\t\t\toutput[index] = (String)messages.get(index, messages);\n\t\t}\n\n\t\treturn output;\n\t}","title":""},{"docid":"2f90d7b29b49264901526dde55e81f2f","score":"0.4276332","text":"private SpreadsheetErrorToStringConverter() {\n }","title":""},{"docid":"e713a27c6eb87c259af642d1b9c20257","score":"0.42746863","text":"Object convertValue(String id, PropertyDefinition<?> propDef, String strValue);","title":""},{"docid":"4647375faa8333cbfbcae9f08770ec0e","score":"0.4268946","text":"protected RMapLiteral() {\n\t\tsuper();\n\t}","title":""},{"docid":"ea843758826cc1c601dc75f741f994b1","score":"0.42588976","text":"public String mapValue2String(Object pValue);","title":""},{"docid":"087f48d534e53895e3380697ae86f04e","score":"0.42573977","text":"@Override\n\tpublic Object valueOf(String arg0) {\n\t\treturn null;\n\t}","title":""},{"docid":"5000f965bb5a5d3026e3d8d77e943dc9","score":"0.42568088","text":"public Map<String, Object> getReadonlyMap() {\n return Map.copyOf(this);\n }","title":""},{"docid":"568405bc8e317e72c8b7dbb9ece3b56b","score":"0.42554647","text":"@Test\n\tpublic void testConvertToMapNoTransient() {\n\t\tMyValueObject mvo = new MyValueObject();\n\t\tMap<String, Object> map = ReflectionUtils.convertToMap(mvo, false);\n\n\t\tAssert.assertNotNull(map);\n\t\tAssert.assertEquals(17, map.size());\n\n\t\tAssert.assertTrue(map.containsKey(\"bite\"));\n\t\tAssert.assertTrue(map.containsKey(\"chr\"));\n\t\tAssert.assertTrue(map.containsKey(\"shrt\"));\n\t\tAssert.assertTrue(map.containsKey(\"nt\"));\n\t\tAssert.assertTrue(map.containsKey(\"lng\"));\n\t\tAssert.assertTrue(map.containsKey(\"flt\"));\n\t\tAssert.assertTrue(map.containsKey(\"dbl\"));\n\t\tAssert.assertTrue(map.containsKey(\"bln\"));\n\t\tAssert.assertTrue(map.containsKey(\"strng\"));\n\t\tAssert.assertTrue(map.containsKey(\"intArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"charArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"byteArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"shortArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"longArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"floatArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"doubleArray\"));\n\t\tAssert.assertTrue(map.containsKey(\"booleanArray\"));\n\n\t\tAssert.assertEquals(mvo.bite, map.get(\"bite\"));\n\t\tAssert.assertEquals(mvo.chr, map.get(\"chr\"));\n\t\tAssert.assertEquals(mvo.shrt, map.get(\"shrt\"));\n\t\tAssert.assertEquals(mvo.nt, map.get(\"nt\"));\n\t\tAssert.assertEquals(mvo.lng, map.get(\"lng\"));\n\t\tAssert.assertEquals(mvo.flt, map.get(\"flt\"));\n\t\tAssert.assertEquals(mvo.dbl, map.get(\"dbl\"));\n\t\tAssert.assertEquals(mvo.bln, map.get(\"bln\"));\n\t\tAssert.assertEquals(mvo.strng, map.get(\"strng\"));\n\t\tAssert.assertEquals(mvo.intArray, map.get(\"intArray\"));\n\t\tAssert.assertEquals(mvo.charArray, map.get(\"charArray\"));\n\t\tAssert.assertEquals(mvo.byteArray, map.get(\"byteArray\"));\n\t\tAssert.assertEquals(mvo.shortArray, map.get(\"shortArray\"));\n\t\tAssert.assertEquals(mvo.longArray, map.get(\"longArray\"));\n\t\tAssert.assertEquals(mvo.floatArray, map.get(\"floatArray\"));\n\t\tAssert.assertEquals(mvo.doubleArray, map.get(\"doubleArray\"));\n\t\tAssert.assertEquals(mvo.booleanArray, map.get(\"booleanArray\"));\n\t}","title":""},{"docid":"28c696bf69037aa6e2b09852f1c82fef","score":"0.42514852","text":"@Override\r\n\t\tpublic Map<String, Object> asMap() {\n\t\t\treturn null;\r\n\t\t}","title":""},{"docid":"99e6d6a69a6125f49e90d33efc751848","score":"0.42461118","text":"protected StringId( final String value )\n\t{\n\t\tsuper( value );\n\t}","title":""},{"docid":"e3149acc4a9b70246e8bb98333714cd4","score":"0.42447096","text":"public StringWrapper(String str){ \n\t\tthis.theVal = str; \n\t\t}","title":""},{"docid":"0d571802f36f6d933d51625d837ad73d","score":"0.42435065","text":"@com.fasterxml.jackson.annotation.JsonCreator\r\n public static Format fromString(String toConvert) {\r\n return valueMap.get(toConvert);\r\n }","title":""},{"docid":"c7511af631f5e5eabcc76cae1c0e7ae1","score":"0.42410374","text":"private Object readResolve() throws java.io.ObjectStreamException {\r\n\t\t// return the one true HtmlConverter and let the garbage collector\r\n\t\t// take care of the HtmlConverter impersonator.\r\n\t\treturn INSTANCE;\r\n\t}","title":""},{"docid":"fb7cbe495a895b16ae9f6a07a20a1781","score":"0.424058","text":"@Override\n public String getObjectCopy() {\n return null;\n }","title":""},{"docid":"4504367ac105a4fc10346511e4036eca","score":"0.42333993","text":"protected Object stringToObject(String value, Type convertTo, Map<String, String> attributes, String expression)\n throws ConversionException, ConverterStateException {\n if (StringUtils.isBlank(value)) {\n return null;\n }\n\n if (value.charAt(0) == File.separatorChar || value.charAt(0) == '\\\\') {\n return new File(value);\n }\n\n if (attributes != null) {\n String parent = attributes.get(\"parentDir\");\n if (parent != null) {\n return new File(parent, value);\n }\n }\n\n return new File(value);\n }","title":""},{"docid":"c31504bb2d7d17a5c4d4cd32a5a97117","score":"0.42325643","text":"public interface MapUtils {\n\n\tpublic static String getString(Map<?, Object> map, Object key) {\n\t\treturn get(map, key, String.class);\n\t}\n\t\n\tpublic static Integer getInteger(Map<?, Object> map, Object key) {\n\t\treturn get(map, key, Integer.class);\n\t}\n\t\n\tpublic static Boolean getBoolean(Map<?, Object> map, Object key) {\n\t\treturn get(map, key, Boolean.class);\n\t}\n\t\n\t@SuppressWarnings(\"unchecked\")\n\tpublic static <T> T get(Map<?, Object> map, Object key, Class<T> clazz) {\n\t\treturn (T) map.get(key);\n\t}\n\t\t\n}","title":""},{"docid":"fdd671e3b407d5845a407a5a8997505b","score":"0.42325324","text":"public String getStringData() { return new String(data); }","title":""},{"docid":"3f82e7dfe7b0eedf1e3b4ca17d71e444","score":"0.42254776","text":"public Object readExternal(DataInput in)\n throws IOException\n {\n return readUTF(in).toCharArray();\n }","title":""},{"docid":"fef5b109c3257c9aac47c013129b2796","score":"0.42249125","text":"public final Object mo18111a(String str) {\n Map map = this.f3806b;\n if (map != null) {\n return map.get(str);\n }\n return null;\n }","title":""},{"docid":"2cf228ba0335ea997d74a1c0c5e34fee","score":"0.4224647","text":"SqueakObject makeStString(String javaString) {\n\t\tbyte[] byteString = javaString.getBytes();\n\t\tSqueakObject stString = vm.instantiateClass(SpecialObjects.getSpecialObject(splOb_ClassString), javaString.length());\n\t\tSystem.arraycopy(byteString, 0, stString.bits, 0, byteString.length);\n\t\treturn stString;\n\t}","title":""},{"docid":"3e5ca3636996b2d09142f65017346998","score":"0.42243573","text":"@Override\r\n\tpublic String convertToString(Map context, Object o) {\n\t\treturn null;\r\n\t}","title":""},{"docid":"5e096a9eab5f3e5d4587f9bd2cc53c50","score":"0.4223872","text":"@Override\n\tpublic void getString(StringBuffer buf) {\n\n\t}","title":""},{"docid":"520ec9970ee72ec4766dccaf9e8fe43f","score":"0.42235827","text":"@Test(expected = ClassCastException.class)\r\n public void test_convert_annotationSuperFactorySubViaSub2() {\r\n StringConvert test = new StringConvert();\r\n test.convertFromString(SuperFactorySub.class, \"25m\");\r\n }","title":""},{"docid":"4529dfee2b7f32a9067bdd88e2707273","score":"0.42169607","text":"public String convert();","title":""},{"docid":"2302f84e27b31a0094e0d02d0b307424","score":"0.42167127","text":"private void getStringProperty(Variant result, final Variant str, final Variant member) throws TJSException, VariantException {\n\t\tif( member.isNumber() != true ) {\n\t\t\tfinal String name = member.getString();\n\t\t\tif( name == null ) throwFrom_tjs_error( Error.E_MEMBERNOTFOUND, \"\" );\n\n\t\t\tif( name.equals(\"length\") ) {\n\t\t\t\t// get string length\n\t\t\t\tfinal String s = str.asString();\n\t\t\t\tif( s == null )\n\t\t\t\t\tresult.set(0); // tTJSVariantString::GetLength can return zero if 'this' is NULL\n\t\t\t\telse\n\t\t\t\t\tresult.set( s.length() );\n\t\t\t\treturn;\n\t\t\t} else if( name.charAt(0) >= '0' && name.charAt(0) <= '9' ) {\n\t\t\t\tfinal String s = str.asString();\n\t\t\t\tint n = Integer.valueOf(name);\n\t\t\t\tint len = s.length();\n\t\t\t\tif(n == len) { result.set( new String() ); return; }\n\t\t\t\tif(n<0 || n>len)\n\t\t\t\t\tthrow new TJSException(Error.RangeError);\n\n\t\t\t\tresult.set( s.substring(n,n+1) );\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tthrowFrom_tjs_error( Error.E_MEMBERNOTFOUND, name );\n\t\t} else { // member.Type() == tvtInteger || member.Type() == tvtReal\n\t\t\tfinal String s = str.asString();\n\t\t\tint n = member.asInteger();\n\t\t\tint len = s.length();\n\t\t\tif(n == len) { result.set( new String() ); return; }\n\t\t\tif(n<0 || n>len)\n\t\t\t\tthrow new TJSException(Error.RangeError);\n\t\t\tresult.set( s.substring(n,n+1) );\n\t\t\treturn;\n\t\t}\n\t}","title":""},{"docid":"d6ef054928521ea072c6fd8de887e534","score":"0.42108032","text":"default String toPyishString() {\n return writeValueAsString(this);\n }","title":""},{"docid":"1a2160b7729054986e54fd66e02139fe","score":"0.42093965","text":"public abstract String getString();","title":""},{"docid":"e60cf4ef31fa052356fe2e64a4b2db12","score":"0.4206","text":"SerializedMap serialize();","title":""},{"docid":"87259c766eeba9918d2ae731553843da","score":"0.42059624","text":"public StringListImpl(Collection _list) {\n // Attempt to convert list to String List\n this();\n Iterator iter = _list.iterator();\n while (iter.hasNext()) {\n Object obj = iter.next();\n if (obj instanceof String) {\n list.add(obj);\n } else if (obj instanceof byte[]) {\n list.add(ConfigurationManager.bytesToString((byte[]) obj));\n } else if (obj != null) {\n list.add(obj.toString());\n }\n }\n }","title":""},{"docid":"1a138d93f172c2d9f8c4753e1fe69d23","score":"0.42020178","text":"private StringStringEntryProto(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {\n super(builder);\n }","title":""},{"docid":"2d1eb4fca160caa09c955408b429de67","score":"0.42001274","text":"public IntStringHashMap(IntStringHashMap paramIntStringHashMap)\n/* */ {\n/* 87 */ super(paramIntStringHashMap);\n/* */ }","title":""},{"docid":"065b05f282c88866ab44f92c1e97be57","score":"0.41985816","text":"public Builder setReadableFeatures(\r\n String value) {\r\n if (value == null) {\r\n throw new NullPointerException();\r\n }\r\n bitField0_ |= 0x00000001;\r\n readableFeatures_ = value;\r\n onChanged();\r\n return this;\r\n }","title":""}],"string":"[\n {\n \"docid\": \"bdb8b6c1059bb83d02b4fe3e56b60a1b\",\n \"score\": \"0.5714416\",\n \"text\": \"public interface MapStringSupport {\\n public String getObjectMappedString();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"81d87172c6db0fa30788dc6419174da1\",\n \"score\": \"0.5298197\",\n \"text\": \"StringMap getAsProperties();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a16a8e670315bc9006b4e4c71b4945d1\",\n \"score\": \"0.5177684\",\n \"text\": \"@Override\\n public java.util.Map convert(Map source) {\\n return this.convert(source, false);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e0643db6ba00e44279655b11392e852\",\n \"score\": \"0.51370645\",\n \"text\": \"public interface StringMapper {\\n\\n /**\\n * Returns the registry for TypeAdapters\\n *\\n * @return the type adapter registry\\n */\\n TypeAdapterRegistry getTypeAdapterRegistry();\\n\\n /**\\n * Gets the field value as String\\n *\\n * @param fieldId field id\\n * @return field value as string\\n */\\n String getAsString(FieldId fieldId);\\n\\n /**\\n * Gets the field value as String\\n *\\n * @param fieldInfo fieldInfo\\n * @return field value as string\\n */\\n String getAsString(FieldInfo fieldInfo);\\n\\n /**\\n * Sets the field value from String\\n *\\n * @param fieldId field id\\n * @param value value as string\\n */\\n void setAsString(FieldId fieldId, String value);\\n\\n /**\\n * Sets the field value from String\\n *\\n * @param fieldInfo field id\\n * @param value value as string\\n */\\n void setAsString(FieldInfo fieldInfo, String value);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"40934b56010e66f0b32bb2d3c51d2154\",\n \"score\": \"0.5084748\",\n \"text\": \"@SuppressWarnings(\\\"unchecked\\\")\\r\\n @Override\\r\\n public T serializeableToValue(PmAttr<?> pmAttr, Serializable s) {\\r\\n return (T) s;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c767d758d8c24d024f6e96f08938117f\",\n \"score\": \"0.5083573\",\n \"text\": \"public void setStringMap(String str, Map<String, String> map) {\\n throw new UnsupportedOperationException(\\\"String map not supported\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"877d5f043951dfd559fd05256cc374eb\",\n \"score\": \"0.507514\",\n \"text\": \"public void setStringMapInternal(Field<?, ?> field, String str, Map<String, String> map) {\\n setStringMap(str, map);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"09cd0f55a54c465c71b8d19bb0661b8f\",\n \"score\": \"0.5071186\",\n \"text\": \"public interface AutoConvert {\\n HashMap<String, String> getConvertMap();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fcf5b94896a943f3237fafabcc936860\",\n \"score\": \"0.5027257\",\n \"text\": \"Object stringToValue(Key<?> key, String cdata) throws IOException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"33741c9dda6f24b16d963389f654f01f\",\n \"score\": \"0.4933685\",\n \"text\": \"public static Map<String, String> readStringStringMap(InputStream is) throws IOException {\\r\\n int size = readInt(is);\\r\\n Map<String, String> result = (size == 0)\\r\\n ? Collections.<String, String>emptyMap()\\r\\n : new HashMap<String, String>(size);\\r\\n for (int i = 0; i < size; i++) {\\r\\n String key = readString(is).intern();\\r\\n String value = readString(is).intern();\\r\\n result.put(key, value);\\r\\n }\\r\\n return result;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d5f42f9ee1630b261c9979ba700c6687\",\n \"score\": \"0.49310797\",\n \"text\": \"Object convert(String s) throws IllegalArgumentException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"851422f6d8be1d7bc754bc4ea5c83a30\",\n \"score\": \"0.49240112\",\n \"text\": \"protected StringMap(int stringMinLength, int stringMaxLength, String mappedFromEntityName, String mappedToEntityName) {\\n this.stringMinLength = stringMinLength;\\n this.stringMaxLength = stringMaxLength;\\n this.mappedFromEntityName = mappedFromEntityName;\\n this.mappedToEntityName = mappedToEntityName;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"addaff406783b3eb0492ec6cc9f21f3e\",\n \"score\": \"0.49011087\",\n \"text\": \"static Object convertToObject(final String value, final Type genericType) {\\n if (value == null) {\\n return null;\\n }\\n\\n Class<?> type = getDataType(genericType);\\n\\n try {\\n if (type.equals(String.class)) {\\n return value;\\n } else if (type.equals(Byte.class) || type.equals(byte.class)) {\\n return Byte.valueOf(value);\\n } else if (type.equals(Integer.class) || type.equals(int.class)) {\\n return Integer.valueOf(value);\\n } else if (type.equals(Long.class) || type.equals(long.class)) {\\n return Long.valueOf(value);\\n } else if (type.equals(Short.class) || type.equals(short.class)) {\\n return Short.valueOf(value);\\n } else if (type.equals(Float.class) || type.equals(float.class)) {\\n return Float.valueOf(value);\\n } else if (type.equals(Double.class) || type.equals(double.class)) {\\n return Double.valueOf(value);\\n } else if (type.equals(Boolean.class) || type.equals(boolean.class)) {\\n return parseBoolean(value);\\n } else if ((type.equals(Character.class) || type.equals(char.class)) && value.length() > 0) {\\n return value.charAt(0);\\n } else if (List.class.isAssignableFrom(type)) {\\n // determine the type of the list items\\n final Class<?> itemType = getGenericsParam(genericType, 0);\\n return stringToList(value, itemType);\\n } else if (Map.class.isAssignableFrom(type)) {\\n // determine the types of the keys and values\\n final Class<?> keyType = getGenericsParam(genericType, 0);\\n final Class<?> valueType = getGenericsParam(genericType, 1);\\n return stringToMap(value, keyType, valueType);\\n } else if (type.equals(DocRef.class)) {\\n return stringToDocRef(value);\\n } else if (Enum.class.isAssignableFrom(type)) {\\n return stringToEnum(value, type);\\n } else if (Path.class.isAssignableFrom(type)) {\\n return Path.of(value);\\n } else if (StroomDuration.class.isAssignableFrom(type)) {\\n return StroomDuration.parse(value);\\n } else if (ByteSize.class.isAssignableFrom(type)) {\\n return ByteSize.parse(value);\\n }\\n } catch (Exception e) {\\n // Don't include the original exception else gwt uses the msg of the\\n // original which is not very user friendly. Enable debug to see the stack\\n LOGGER.debug(LogUtil.message(\\n \\\"Unable to convert value [{}] to type {} due to: {}\\\",\\n value, genericType, e.getMessage()), e);\\n throw new ConfigPropertyValidationException(LogUtil.message(\\n \\\"Unable to convert value [{}] to type {} due to: {}\\\",\\n value, getDataTypeName(genericType), e.getMessage()), e);\\n }\\n\\n LOGGER.error(\\\"Unable to convert value [{}] of type [{}] to an Object\\\", value, type);\\n throw new ConfigPropertyValidationException(LogUtil.message(\\n \\\"Type [{}] is not supported for value [{}]\\\", genericType, value));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0375d14bd229ff740d11a9ed8a2e94fb\",\n \"score\": \"0.48176444\",\n \"text\": \"public java.util.Map<java.lang.CharSequence,java.lang.CharSequence> getAvroMapOfString() {\\n return avroMapOfString;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"746c5f960cb05c5d49401f8ec1cdcf97\",\n \"score\": \"0.48161528\",\n \"text\": \"protected abstract String asString();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86e6f3c07f3c1c1844a6c5ad5bb0b551\",\n \"score\": \"0.47973803\",\n \"text\": \"public java.util.Map<java.lang.CharSequence,java.lang.CharSequence> getAvroMapOfString() {\\n return avroMapOfString;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"22fa06b3c73b1f11fcfb216a38633c09\",\n \"score\": \"0.478942\",\n \"text\": \"abstract String readString();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1aca1f16a9a40b4c01fb854e99eaa77\",\n \"score\": \"0.47881413\",\n \"text\": \"public interface FromString<R> extends java.io.Serializable{\\n /**\\n * @param from the starting index of this token.\\n * @param len the length of this token.\\n * @param s the string.\\n * @return the object.\\n */\\n R fromString(int from, int len, String s);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa24bf351c248ebf48f2f394cf8aea5d\",\n \"score\": \"0.47739515\",\n \"text\": \"AbstractReadableMap (){\\r\\n entries =GenericArrayHelper.newEntryArrayOfSize(10);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"634ddbd3b249e6f3418c05b4fdc0b2b8\",\n \"score\": \"0.47677302\",\n \"text\": \"public final IObjectWrapper mo2618a(String str) {\\n Parcel t_ = t_();\\n t_.writeString(str);\\n str = m10545a(2, t_);\\n IObjectWrapper a = Stub.m20401a(str.readStrongBinder());\\n str.recycle();\\n return a;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71e911b0433daf470e5093664faaf5d9\",\n \"score\": \"0.47521657\",\n \"text\": \"public void setAvroMapOfString(java.util.Map<java.lang.CharSequence,java.lang.CharSequence> value) {\\n this.avroMapOfString = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a98f25047554711a85278d5c25e86ca9\",\n \"score\": \"0.47320455\",\n \"text\": \"private Map<String, WT> getWrappedBaseMap()\\r\\n\\t{\\r\\n\\t\\treturn getWrappedBaseMapForReadOnly();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a028a174a4f599bdfa8754852875926c\",\n \"score\": \"0.47173953\",\n \"text\": \"@Nullable\\n @Override\\n public T getValue()\\n {\\n return m__strValue;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8ca4345f8717e667d997403ab7304a67\",\n \"score\": \"0.46980307\",\n \"text\": \"public T valueOf(String readValue) {\\n T mappedValue = this.mapper.map(readValue);\\n Optional<String> validationError = this.validator.validate(mappedValue);\\n if(validationError.isPresent()) {\\n throw new CfInvalidConfigurationException(\\n this,\\n readValue,\\n validationError.get());\\n }\\n return mappedValue;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fbf1afc22f9233141ac5acd7b21176e7\",\n \"score\": \"0.4672195\",\n \"text\": \"private static String parseString(JSONObject dataMap, String fieldName)\\n {\\n String ret;\\n\\n String element = (String) dataMap.get(fieldName);\\n int numParts = Integer.parseInt(SystemConfiguration.getProperty(\\\"pir.stringBits\\\")) / dataPartitionBitSize;\\n int len = numParts;\\n if (element.length() < numParts)\\n {\\n len = element.length();\\n }\\n ret = new String(element.getBytes(), 0, len);\\n\\n return ret;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"200c3769eb8de6801539646b06c0ecb4\",\n \"score\": \"0.46511036\",\n \"text\": \"public interface CMReadable extends CMCommon\\r\\n{\\r\\n\\tpublic boolean isReadable();\\r\\n\\tpublic String readableText();\\r\\n\\tpublic void setReadableText(String S);\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"47f6677aab6b6950e879990929ff5217\",\n \"score\": \"0.46297026\",\n \"text\": \"public interface SimpleReader {\\n\\n\\tpublic Map<String, DomainSet> read(final Reader reader);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ab4c05bbca9ac94076ea40a493d3a659\",\n \"score\": \"0.4613433\",\n \"text\": \"@Override\\n\\tpublic String doConversion (String value)\\n\\t{\\n\\t\\treturn value;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f077205a60db368fbb583828c245748\",\n \"score\": \"0.46076953\",\n \"text\": \"private Object readResolve() {\\r\\n/* 145 */ return valueOf(this.stringValue);\\r\\n/* */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a9a30fa67d23b1b12fab3d8a812e874\",\n \"score\": \"0.45901838\",\n \"text\": \"public interface Writable {\\n\\n\\tvoid write(String s);\\n\\t\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8236098de4e3e4daf0cf1068b53806b2\",\n \"score\": \"0.45798618\",\n \"text\": \"@FunctionalInterface\\n private interface SC {\\n /**\\n * Convert a string onto an object.\\n * @param s String.\\n * @return An object.\\n * @throws IllegalArgumentException If the string format is invalid.\\n */\\n Object convert(String s) throws IllegalArgumentException;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7850866e28abfd763da9441838dcee11\",\n \"score\": \"0.45703274\",\n \"text\": \"@Override\\n\\tpublic Map<String, String> toMap() {\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0f0f92a9e42fd73a725e2ef1500b4a32\",\n \"score\": \"0.45614585\",\n \"text\": \"protected String asString(Object value) {\\r\\n \\treturn (String) value;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"372da2aebae48cf1014fa586dd9f54ab\",\n \"score\": \"0.45566323\",\n \"text\": \"@Stability.Internal\\n public Map<String, String> toMap() {\\n return Mapper.convertValue(this, new TypeReference<Map<String, String>>() {\\n });\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fe4b1a65e35d21fec4f304ed3a17e6e4\",\n \"score\": \"0.4526977\",\n \"text\": \"private Map<String, String> convertAttributeMaptoSimpleStringMap(Map<String, AttributeValue> attributeValueMap) {\\n HashMap<String, String> value = new HashMap<String, String>();\\n\\n for (final Map.Entry<String, AttributeValue> entry : attributeValueMap.entrySet()) {\\n value.put(entry.getKey(), entry.getValue().getS());\\n }\\n return value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b3fb23bbd9b7cefd316fc0eb3d9726dc\",\n \"score\": \"0.45223662\",\n \"text\": \"private Object readCOSString(COSString string, Object keyBase) throws IOException {\\n byte[] bytes = string.getBytes();\\n //Be on the safe side and use the byte array to avoid encoding problems\\n //as PDFBox doesn't indicate whether the string is just\\n //a string (PDF 1.4, 3.2.3) or a text string (PDF 1.4, 3.8.1).\\n if (keyBase instanceof COSObject) {\\n return cacheClonedObject(keyBase, new PDFString(bytes));\\n } else {\\n if (PDFString.isUSASCII(bytes)) {\\n return cacheClonedObject(keyBase, new String(string.getBytes(), PDFDocument.ENCODING));\\n } else {\\n return cacheClonedObject(keyBase, bytes);\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a65de759aa24cab8ad5ee102bb369da8\",\n \"score\": \"0.45132872\",\n \"text\": \"@Override\\n\\t\\t\\tpublic Copy fromString(String string) {\\n\\t\\t\\t\\treturn null;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"70a8053e35052ef736025dab992549e6\",\n \"score\": \"0.44885916\",\n \"text\": \"Map<String, Object> asMap();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eecc4979d1dbb4e40138544295452fe9\",\n \"score\": \"0.44761375\",\n \"text\": \"@Override\\n public String getDirectly(String key) {\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a54d8323be62fd2e0e5fe45a9359f78\",\n \"score\": \"0.44675463\",\n \"text\": \"public com.example.avro.DemoAvroTypes.Builder setAvroMapOfString(java.util.Map<java.lang.CharSequence,java.lang.CharSequence> value) {\\n validate(fields()[9], value);\\n this.avroMapOfString = value;\\n fieldSetFlags()[9] = true;\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7c7432101f409fc54b9fb12a04d6f566\",\n \"score\": \"0.44653243\",\n \"text\": \"public interface StringReader<T> {\\n /**\\n * Deserialize\\n * Read object value from {@link StringAssembler}\\n *\\n * @param assembler the {@link StringAssembler}\\n * @return object value\\n */\\n T read(StringAssembler assembler);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f8f26a219481f0ceb6441470f662c839\",\n \"score\": \"0.44606858\",\n \"text\": \"public static java.util.Map<String, String> readHashMapStringAndString(android.os.Parcel in) {\\n if (in == null) {\\n return null;\\n }\\n\\n int size = in.readInt();\\n if (size == -1) {\\n return null;\\n }\\n\\n java.util.Map<String, String> map = new java.util.HashMap<String, String>();\\n for (int i = 0; i < size; i++) {\\n String key = in.readString();\\n map.put(key, in.readString());\\n }\\n return map;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8fa06d645c9c5a604f6124e2dd39b6ea\",\n \"score\": \"0.44583344\",\n \"text\": \"@Override\\n public ArrayList<String> getStringArrayList(String key) {\\n return super.getStringArrayList(key);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac450808eaa198cf294aa35df5a19967\",\n \"score\": \"0.4449408\",\n \"text\": \"@Override\\n public String readUTF() throws IOException {\\n final int size = unpackInt();\\n //$DELAY$\\n return SerializerBase.deserializeString(this, size);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e38fb25ec28cad824c9cabc55b85a2c6\",\n \"score\": \"0.4449067\",\n \"text\": \"private String unwrapString(Object value) {\\n if (value instanceof List) {\\n return (String) ((List) value).get(0);\\n } else {\\n return (String) value;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d2695f2e8c456025580b32d20c348898\",\n \"score\": \"0.4439257\",\n \"text\": \"Map<String, String> toMap();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a369bf9bf0f234a3d4ea69dec44dadc9\",\n \"score\": \"0.44108173\",\n \"text\": \"@Override\\n public abstract String getStringValue();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"00662b01640bffccfa4e53b8200acc33\",\n \"score\": \"0.44026297\",\n \"text\": \"public static String toString(Readable r) throws IOException {\\n/* 92 */ return toStringBuilder(r).toString();\\n/* */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1e3e1165835c5be664098ee471255826\",\n \"score\": \"0.4396357\",\n \"text\": \"public String getAsString(Object key) {\\n Object obj = get(key);\\n if (!(obj instanceof CharSequence)) {\\n throw new MessageBodyException(new ClassCastException());\\n }\\n return obj.toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e0d4a2df2c67b7ea2cee60ed83a24c6d\",\n \"score\": \"0.4395426\",\n \"text\": \"public String getString(String key) {\\n\\n Object obj = get(key);\\n\\n try {\\n return (String) obj;\\n } catch (Exception e) {\\n throw new ClassCastException(\\\"Identified object is not a String.\\\");\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"197880bf9ba7092ff70eb88e73dee67f\",\n \"score\": \"0.43886727\",\n \"text\": \"@Override\\n\\tpublic Map<String, Object> read(String nativeIdentity)\\n\\t\\t\\tthrows ConnectorException, ObjectNotFoundException, UnsupportedOperationException {\\n\\t\\treturn read(nativeIdentity, false);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a95d49ca2250f936c578376ced8134b7\",\n \"score\": \"0.4384442\",\n \"text\": \"@Deprecated\\n public static Object coerceStringToType(RubyString string, Class target) {\\n try {\\n ByteList bytes = string.getByteList();\\n \\n // 1.9 support for encodings\\n // TODO: Fix charset use for JRUBY-4553\\n if (string.getRuntime().is1_9()) {\\n return new String(bytes.getUnsafeBytes(), bytes.begin(), bytes.length(), string.getEncoding().toString());\\n }\\n \\n return RubyEncoding.decodeUTF8(bytes.getUnsafeBytes(), bytes.begin(), bytes.length());\\n } catch (UnsupportedEncodingException uee) {\\n return string.toString();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1cb22bd21efe9ce39565d5f938ea56b\",\n \"score\": \"0.43843564\",\n \"text\": \"public interface ToStringMaster {\\n String string(Object ref);\\n\\n String string(FieldValueSpec[] fields);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"45231b6c725e3294970f84e058bb0634\",\n \"score\": \"0.4381189\",\n \"text\": \"@Test\\n\\tpublic void testConvertToMapWithTransient() {\\n\\t\\tMyValueObject mvo = new MyValueObject();\\n\\t\\tMap<String, Object> map = ReflectionUtils.convertToMap(mvo, true);\\n\\n\\t\\tAssert.assertNotNull(map);\\n\\t\\tAssert.assertEquals(18, map.size());\\n\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"bite\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"chr\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"shrt\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"nt\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"lng\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"flt\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"dbl\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"bln\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"strng\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"intArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"charArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"byteArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"shortArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"longArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"floatArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"doubleArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"booleanArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"notToBeSerialized\\\"));\\n\\n\\t\\tAssert.assertEquals(mvo.bite, map.get(\\\"bite\\\"));\\n\\t\\tAssert.assertEquals(mvo.chr, map.get(\\\"chr\\\"));\\n\\t\\tAssert.assertEquals(mvo.shrt, map.get(\\\"shrt\\\"));\\n\\t\\tAssert.assertEquals(mvo.nt, map.get(\\\"nt\\\"));\\n\\t\\tAssert.assertEquals(mvo.lng, map.get(\\\"lng\\\"));\\n\\t\\tAssert.assertEquals(mvo.flt, map.get(\\\"flt\\\"));\\n\\t\\tAssert.assertEquals(mvo.dbl, map.get(\\\"dbl\\\"));\\n\\t\\tAssert.assertEquals(mvo.bln, map.get(\\\"bln\\\"));\\n\\t\\tAssert.assertEquals(mvo.strng, map.get(\\\"strng\\\"));\\n\\t\\tAssert.assertEquals(mvo.intArray, map.get(\\\"intArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.charArray, map.get(\\\"charArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.byteArray, map.get(\\\"byteArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.shortArray, map.get(\\\"shortArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.longArray, map.get(\\\"longArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.floatArray, map.get(\\\"floatArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.doubleArray, map.get(\\\"doubleArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.booleanArray, map.get(\\\"booleanArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.notToBeSerialized, map.get(\\\"notToBeSerialized\\\"));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3dead3ad97ea03a870e3df18009a3acc\",\n \"score\": \"0.43652514\",\n \"text\": \"@Override\\n public void visitString(StringValue s) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4c5f3e6224ebeed7bd298c34f3800f35\",\n \"score\": \"0.43598282\",\n \"text\": \"private static Map<Class<?>, Function<String, Object>> getPrimitiveConverters() {\\n Map<Class<?>, Function<String, Object>> converters = new HashMap<>();\\n converters.put(String.class, s -> s);\\n converters.put(Integer.class, s -> StringUtils.isBlank(s) ? null : Integer.parseInt(s));\\n converters.put(Boolean.class, s -> StringUtils.isBlank(s) ? null : Boolean.parseBoolean(s));\\n converters.put(Date.class, ConversionUtils::toDate);\\n converters.put(Instant.class, ConversionUtils::toInstant);\\n converters.put(ZonedDateTime.class, s -> StringUtils.isBlank(s) ? null : ZonedDateTime.parse(s));\\n converters.put(OffsetDateTime.class, s -> StringUtils.isBlank(s) ? null : OffsetDateTime.parse(s));\\n converters.put(LocalDateTime.class, s -> StringUtils.isBlank(s) ? null : LocalDateTime.parse(s));\\n converters.put(LocalDate.class, s -> StringUtils.isBlank(s) ? null : LocalDate.parse(s));\\n converters.put(Double.class, s -> StringUtils.isBlank(s) ? null : Double.parseDouble(s));\\n converters.put(Long.class, s -> StringUtils.isBlank(s) ? null : Long.parseLong(s));\\n converters.put(Short.class, s -> StringUtils.isBlank(s) ? null : Short.parseShort(s));\\n converters.put(Float.class, s -> StringUtils.isBlank(s) ? null : Float.parseFloat(s));\\n converters.put(Character.class, s -> s.length() == 1 ? s.charAt(0) : null);\\n converters.put(BigInteger.class, s -> StringUtils.isBlank(s) ? null : new BigInteger(s));\\n converters.put(BigDecimal.class, s -> StringUtils.isBlank(s) ? null : new BigDecimal(s));\\n converters.put(Byte.class, s -> StringUtils.isBlank(s) ? null : Byte.parseByte(s));\\n converters.put(UUID.class, s -> StringUtils.isBlank(s) ? null : UUID.fromString(s));\\n return converters;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"16336860af1621b51a702e394401587e\",\n \"score\": \"0.4354503\",\n \"text\": \"public abstract Object getValueObject(String str);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"80ce9edb06ed04bdb0e6b8fcd77b5c4a\",\n \"score\": \"0.43437925\",\n \"text\": \"public String getStringProperty(String key)\\r\\n {\\r\\n return (String) map.get(key);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"88741d3d4979d566ce4840bbb1a3c226\",\n \"score\": \"0.43400636\",\n \"text\": \"private Object readResolve() throws ObjectStreamException {\\n\\t\\t\\n\\t\\ttry {\\n\\t\\t\\tprocessUnmarshal();\\n\\t\\t} catch (TiledMapFormatException e) {\\n\\t\\t\\tthrow new TiledMapUnmarshalException(e);\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn this;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e53b29b030448b25eae6c31ad38f86b5\",\n \"score\": \"0.43361977\",\n \"text\": \"public String getString() { return str; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5351ea702b69af0b457cb654d2f2e6e8\",\n \"score\": \"0.43306342\",\n \"text\": \"public static Map<String, String> cloneStringStringMap(Map<String, String> stringStringMap) {\\n if (Objects.isNull(stringStringMap)) {\\n return null;\\n }\\n return new HashMap<>(stringStringMap);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a3c638cac0a8700785c2567d9d6c2d93\",\n \"score\": \"0.43249524\",\n \"text\": \"public T mapString2Value(String pValueString);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c8eccd30f34e79d76fe0f301d61325d2\",\n \"score\": \"0.4321348\",\n \"text\": \"public UniqueStringMapInfo(String id, String mapinfo) {\\n\\t\\tthis(id);\\n\\t\\tsetMapInfo(mapinfo);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78eb03a253772943c2a542fb497d4861\",\n \"score\": \"0.4320745\",\n \"text\": \"private Object readValue(Map.Entry entry)\\r\\n/* 291: */ {\\r\\n/* 292:505 */ Object val = entry.getValue();\\r\\n/* 293:506 */ if ((val instanceof String))\\r\\n/* 294: */ {\\r\\n/* 295:507 */ String strVal = (String)val;\\r\\n/* 296:509 */ if (strVal.startsWith(\\\"*\\\"))\\r\\n/* 297: */ {\\r\\n/* 298:511 */ String targetName = strVal.substring(1);\\r\\n/* 299:512 */ if (targetName.startsWith(\\\"*\\\")) {\\r\\n/* 300:514 */ val = targetName;\\r\\n/* 301: */ } else {\\r\\n/* 302:517 */ val = new RuntimeBeanReference(targetName);\\r\\n/* 303: */ }\\r\\n/* 304: */ }\\r\\n/* 305: */ }\\r\\n/* 306:521 */ return val;\\r\\n/* 307: */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f2def8b5bbf3f2b1d441ae84354c9a71\",\n \"score\": \"0.4302881\",\n \"text\": \"@Override\\n\\tpublic synchronized Object getProperty(String key) {\\n\\t\\tObject value = super.getProperty(key);\\n\\t\\tList<String> result = null;\\n\\t\\tif (value instanceof String) {\\n\\t\\t\\tresult=new ArrayList<String>();\\n\\t\\t\\tresult.add((String)value);\\n\\t\\t}\\n\\t\\telse if (value!=null) {\\n\\t\\t\\tresult= (List<String>)value;\\n\\t\\t}\\n\\t\\treturn result;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bfb23cc050a27826437f805cda35e8e8\",\n \"score\": \"0.42893353\",\n \"text\": \"public void testLazyMap() throws Throwable {\\n try {\\n {\\n // Map of Integer to String\\n Text nullSequence = new Text(\\\"\\\\\\\\N\\\");\\n ObjectInspector oi = LazyFactory\\n .createLazyObjectInspector(TypeInfoUtils\\n .getTypeInfosFromTypeString(\\\"map<int,string>\\\").get(0),\\n new byte[] {(byte) 1, (byte) 2}, 0, nullSequence, false,\\n (byte) 0);\\n LazyMap b = (LazyMap) LazyFactory.createLazyObject(oi);\\n byte[] data = new byte[] {'2', 2, 'd', 'e', 'f', 1, '-', '1', 2, '\\\\\\\\',\\n 'N', 1, '0', 2, '0', 1, '8', 2, 'a', 'b', 'c'};\\n TestLazyPrimitive.initLazyObject(b, data, 0, data.length);\\n\\n assertEquals(new Text(\\\"def\\\"), ((LazyString) b\\n .getMapValueElement(new IntWritable(2))).getWritableObject());\\n assertNull(b.getMapValueElement(new IntWritable(-1)));\\n assertEquals(new Text(\\\"0\\\"), ((LazyString) b\\n .getMapValueElement(new IntWritable(0))).getWritableObject());\\n assertEquals(new Text(\\\"abc\\\"), ((LazyString) b\\n .getMapValueElement(new IntWritable(8))).getWritableObject());\\n assertNull(b.getMapValueElement(new IntWritable(12345)));\\n\\n assertEquals(\\\"{2:'def',-1:null,0:'0',8:'abc'}\\\".replace('\\\\'', '\\\\\\\"'),\\n SerDeUtils.getJSONString(b, oi));\\n }\\n\\n {\\n // Map of String to String\\n Text nullSequence = new Text(\\\"\\\\\\\\N\\\");\\n ObjectInspector oi = LazyFactory.createLazyObjectInspector(\\n TypeInfoUtils.getTypeInfosFromTypeString(\\\"map<string,string>\\\").get(\\n 0), new byte[] {(byte) '#', (byte) '\\\\t'}, 0, nullSequence,\\n false, (byte) 0);\\n LazyMap b = (LazyMap) LazyFactory.createLazyObject(oi);\\n byte[] data = new byte[] {'2', '\\\\t', 'd', '\\\\t', 'f', '#', '2', '\\\\t',\\n 'd', '#', '-', '1', '#', '0', '\\\\t', '0', '#', '8', '\\\\t', 'a', 'b', 'c'};\\n TestLazyPrimitive.initLazyObject(b, data, 0, data.length);\\n\\n assertEquals(new Text(\\\"d\\\\tf\\\"), ((LazyString) b\\n .getMapValueElement(new Text(\\\"2\\\"))).getWritableObject());\\n assertNull(b.getMapValueElement(new Text(\\\"-1\\\")));\\n assertEquals(new Text(\\\"0\\\"), ((LazyString) b\\n .getMapValueElement(new Text(\\\"0\\\"))).getWritableObject());\\n assertEquals(new Text(\\\"abc\\\"), ((LazyString) b\\n .getMapValueElement(new Text(\\\"8\\\"))).getWritableObject());\\n assertNull(b.getMapValueElement(new Text(\\\"-\\\")));\\n\\n assertEquals(\\\"{'2':'d\\\\\\\\tf','2':'d','-1':null,'0':'0','8':'abc'}\\\"\\n .replace('\\\\'', '\\\\\\\"'), SerDeUtils.getJSONString(b, oi));\\n }\\n\\n } catch (Throwable e) {\\n e.printStackTrace();\\n throw e;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d0ceba6adc6db9dad945dfaa0de9a5fd\",\n \"score\": \"0.42879844\",\n \"text\": \"public abstract Object stringToValue(String text) throws ParseException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5f3c40dc9dab4638057c78234475cb1a\",\n \"score\": \"0.4281302\",\n \"text\": \"@Override // com.fasterxml.jackson.databind.p537i.p539b.StaticListSerializerBase\\n /* renamed from: d */\\n public JsonNode mo31674d() {\\n return mo31825a(\\\"string\\\", true);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d526b7cee7522e082e646ca9c51935e2\",\n \"score\": \"0.42795068\",\n \"text\": \"private static <T> StringConverter<T> defaultStringConverter() {\\n return new StringConverter<T>() {\\n @Override\\n public String toString(T t) {\\n return t == null ? null : t.toString();\\n }\\n\\n @Override\\n public T fromString(String string) {\\n return (T) string;\\n }\\n };\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a92044cd39d6cb50f9c3736b4bd480f6\",\n \"score\": \"0.4278278\",\n \"text\": \"private String[] getStringArray(String key, NativeObject fromObject) {\\n\\t\\tObject result = fromObject.get(key, null);\\n\\n\\t\\tif(result.equals(Scriptable.NOT_FOUND)) {\\n\\t\\t\\treturn new String[]{};\\n\\t\\t}\\n\\n\\t\\tNativeArray messages = (NativeArray)result;\\n\\n\\t\\tString[] output = new String[((Long)messages.getLength()).intValue()];\\n\\n\\t\\tfor(int index = 0; index < messages.getLength(); index++) {\\n\\t\\t\\toutput[index] = (String)messages.get(index, messages);\\n\\t\\t}\\n\\n\\t\\treturn output;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2f90d7b29b49264901526dde55e81f2f\",\n \"score\": \"0.4276332\",\n \"text\": \"private SpreadsheetErrorToStringConverter() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e713a27c6eb87c259af642d1b9c20257\",\n \"score\": \"0.42746863\",\n \"text\": \"Object convertValue(String id, PropertyDefinition<?> propDef, String strValue);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4647375faa8333cbfbcae9f08770ec0e\",\n \"score\": \"0.4268946\",\n \"text\": \"protected RMapLiteral() {\\n\\t\\tsuper();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ea843758826cc1c601dc75f741f994b1\",\n \"score\": \"0.42588976\",\n \"text\": \"public String mapValue2String(Object pValue);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"087f48d534e53895e3380697ae86f04e\",\n \"score\": \"0.42573977\",\n \"text\": \"@Override\\n\\tpublic Object valueOf(String arg0) {\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5000f965bb5a5d3026e3d8d77e943dc9\",\n \"score\": \"0.42568088\",\n \"text\": \"public Map<String, Object> getReadonlyMap() {\\n return Map.copyOf(this);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"568405bc8e317e72c8b7dbb9ece3b56b\",\n \"score\": \"0.42554647\",\n \"text\": \"@Test\\n\\tpublic void testConvertToMapNoTransient() {\\n\\t\\tMyValueObject mvo = new MyValueObject();\\n\\t\\tMap<String, Object> map = ReflectionUtils.convertToMap(mvo, false);\\n\\n\\t\\tAssert.assertNotNull(map);\\n\\t\\tAssert.assertEquals(17, map.size());\\n\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"bite\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"chr\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"shrt\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"nt\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"lng\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"flt\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"dbl\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"bln\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"strng\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"intArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"charArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"byteArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"shortArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"longArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"floatArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"doubleArray\\\"));\\n\\t\\tAssert.assertTrue(map.containsKey(\\\"booleanArray\\\"));\\n\\n\\t\\tAssert.assertEquals(mvo.bite, map.get(\\\"bite\\\"));\\n\\t\\tAssert.assertEquals(mvo.chr, map.get(\\\"chr\\\"));\\n\\t\\tAssert.assertEquals(mvo.shrt, map.get(\\\"shrt\\\"));\\n\\t\\tAssert.assertEquals(mvo.nt, map.get(\\\"nt\\\"));\\n\\t\\tAssert.assertEquals(mvo.lng, map.get(\\\"lng\\\"));\\n\\t\\tAssert.assertEquals(mvo.flt, map.get(\\\"flt\\\"));\\n\\t\\tAssert.assertEquals(mvo.dbl, map.get(\\\"dbl\\\"));\\n\\t\\tAssert.assertEquals(mvo.bln, map.get(\\\"bln\\\"));\\n\\t\\tAssert.assertEquals(mvo.strng, map.get(\\\"strng\\\"));\\n\\t\\tAssert.assertEquals(mvo.intArray, map.get(\\\"intArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.charArray, map.get(\\\"charArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.byteArray, map.get(\\\"byteArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.shortArray, map.get(\\\"shortArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.longArray, map.get(\\\"longArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.floatArray, map.get(\\\"floatArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.doubleArray, map.get(\\\"doubleArray\\\"));\\n\\t\\tAssert.assertEquals(mvo.booleanArray, map.get(\\\"booleanArray\\\"));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"28c696bf69037aa6e2b09852f1c82fef\",\n \"score\": \"0.42514852\",\n \"text\": \"@Override\\r\\n\\t\\tpublic Map<String, Object> asMap() {\\n\\t\\t\\treturn null;\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99e6d6a69a6125f49e90d33efc751848\",\n \"score\": \"0.42461118\",\n \"text\": \"protected StringId( final String value )\\n\\t{\\n\\t\\tsuper( value );\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e3149acc4a9b70246e8bb98333714cd4\",\n \"score\": \"0.42447096\",\n \"text\": \"public StringWrapper(String str){ \\n\\t\\tthis.theVal = str; \\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0d571802f36f6d933d51625d837ad73d\",\n \"score\": \"0.42435065\",\n \"text\": \"@com.fasterxml.jackson.annotation.JsonCreator\\r\\n public static Format fromString(String toConvert) {\\r\\n return valueMap.get(toConvert);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c7511af631f5e5eabcc76cae1c0e7ae1\",\n \"score\": \"0.42410374\",\n \"text\": \"private Object readResolve() throws java.io.ObjectStreamException {\\r\\n\\t\\t// return the one true HtmlConverter and let the garbage collector\\r\\n\\t\\t// take care of the HtmlConverter impersonator.\\r\\n\\t\\treturn INSTANCE;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fb7cbe495a895b16ae9f6a07a20a1781\",\n \"score\": \"0.424058\",\n \"text\": \"@Override\\n public String getObjectCopy() {\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4504367ac105a4fc10346511e4036eca\",\n \"score\": \"0.42333993\",\n \"text\": \"protected Object stringToObject(String value, Type convertTo, Map<String, String> attributes, String expression)\\n throws ConversionException, ConverterStateException {\\n if (StringUtils.isBlank(value)) {\\n return null;\\n }\\n\\n if (value.charAt(0) == File.separatorChar || value.charAt(0) == '\\\\\\\\') {\\n return new File(value);\\n }\\n\\n if (attributes != null) {\\n String parent = attributes.get(\\\"parentDir\\\");\\n if (parent != null) {\\n return new File(parent, value);\\n }\\n }\\n\\n return new File(value);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c31504bb2d7d17a5c4d4cd32a5a97117\",\n \"score\": \"0.42325643\",\n \"text\": \"public interface MapUtils {\\n\\n\\tpublic static String getString(Map<?, Object> map, Object key) {\\n\\t\\treturn get(map, key, String.class);\\n\\t}\\n\\t\\n\\tpublic static Integer getInteger(Map<?, Object> map, Object key) {\\n\\t\\treturn get(map, key, Integer.class);\\n\\t}\\n\\t\\n\\tpublic static Boolean getBoolean(Map<?, Object> map, Object key) {\\n\\t\\treturn get(map, key, Boolean.class);\\n\\t}\\n\\t\\n\\t@SuppressWarnings(\\\"unchecked\\\")\\n\\tpublic static <T> T get(Map<?, Object> map, Object key, Class<T> clazz) {\\n\\t\\treturn (T) map.get(key);\\n\\t}\\n\\t\\t\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fdd671e3b407d5845a407a5a8997505b\",\n \"score\": \"0.42325324\",\n \"text\": \"public String getStringData() { return new String(data); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f82e7dfe7b0eedf1e3b4ca17d71e444\",\n \"score\": \"0.42254776\",\n \"text\": \"public Object readExternal(DataInput in)\\n throws IOException\\n {\\n return readUTF(in).toCharArray();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fef5b109c3257c9aac47c013129b2796\",\n \"score\": \"0.42249125\",\n \"text\": \"public final Object mo18111a(String str) {\\n Map map = this.f3806b;\\n if (map != null) {\\n return map.get(str);\\n }\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2cf228ba0335ea997d74a1c0c5e34fee\",\n \"score\": \"0.4224647\",\n \"text\": \"SqueakObject makeStString(String javaString) {\\n\\t\\tbyte[] byteString = javaString.getBytes();\\n\\t\\tSqueakObject stString = vm.instantiateClass(SpecialObjects.getSpecialObject(splOb_ClassString), javaString.length());\\n\\t\\tSystem.arraycopy(byteString, 0, stString.bits, 0, byteString.length);\\n\\t\\treturn stString;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3e5ca3636996b2d09142f65017346998\",\n \"score\": \"0.42243573\",\n \"text\": \"@Override\\r\\n\\tpublic String convertToString(Map context, Object o) {\\n\\t\\treturn null;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5e096a9eab5f3e5d4587f9bd2cc53c50\",\n \"score\": \"0.4223872\",\n \"text\": \"@Override\\n\\tpublic void getString(StringBuffer buf) {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"520ec9970ee72ec4766dccaf9e8fe43f\",\n \"score\": \"0.42235827\",\n \"text\": \"@Test(expected = ClassCastException.class)\\r\\n public void test_convert_annotationSuperFactorySubViaSub2() {\\r\\n StringConvert test = new StringConvert();\\r\\n test.convertFromString(SuperFactorySub.class, \\\"25m\\\");\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4529dfee2b7f32a9067bdd88e2707273\",\n \"score\": \"0.42169607\",\n \"text\": \"public String convert();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2302f84e27b31a0094e0d02d0b307424\",\n \"score\": \"0.42167127\",\n \"text\": \"private void getStringProperty(Variant result, final Variant str, final Variant member) throws TJSException, VariantException {\\n\\t\\tif( member.isNumber() != true ) {\\n\\t\\t\\tfinal String name = member.getString();\\n\\t\\t\\tif( name == null ) throwFrom_tjs_error( Error.E_MEMBERNOTFOUND, \\\"\\\" );\\n\\n\\t\\t\\tif( name.equals(\\\"length\\\") ) {\\n\\t\\t\\t\\t// get string length\\n\\t\\t\\t\\tfinal String s = str.asString();\\n\\t\\t\\t\\tif( s == null )\\n\\t\\t\\t\\t\\tresult.set(0); // tTJSVariantString::GetLength can return zero if 'this' is NULL\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\tresult.set( s.length() );\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t} else if( name.charAt(0) >= '0' && name.charAt(0) <= '9' ) {\\n\\t\\t\\t\\tfinal String s = str.asString();\\n\\t\\t\\t\\tint n = Integer.valueOf(name);\\n\\t\\t\\t\\tint len = s.length();\\n\\t\\t\\t\\tif(n == len) { result.set( new String() ); return; }\\n\\t\\t\\t\\tif(n<0 || n>len)\\n\\t\\t\\t\\t\\tthrow new TJSException(Error.RangeError);\\n\\n\\t\\t\\t\\tresult.set( s.substring(n,n+1) );\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\tthrowFrom_tjs_error( Error.E_MEMBERNOTFOUND, name );\\n\\t\\t} else { // member.Type() == tvtInteger || member.Type() == tvtReal\\n\\t\\t\\tfinal String s = str.asString();\\n\\t\\t\\tint n = member.asInteger();\\n\\t\\t\\tint len = s.length();\\n\\t\\t\\tif(n == len) { result.set( new String() ); return; }\\n\\t\\t\\tif(n<0 || n>len)\\n\\t\\t\\t\\tthrow new TJSException(Error.RangeError);\\n\\t\\t\\tresult.set( s.substring(n,n+1) );\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d6ef054928521ea072c6fd8de887e534\",\n \"score\": \"0.42108032\",\n \"text\": \"default String toPyishString() {\\n return writeValueAsString(this);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1a2160b7729054986e54fd66e02139fe\",\n \"score\": \"0.42093965\",\n \"text\": \"public abstract String getString();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e60cf4ef31fa052356fe2e64a4b2db12\",\n \"score\": \"0.4206\",\n \"text\": \"SerializedMap serialize();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"87259c766eeba9918d2ae731553843da\",\n \"score\": \"0.42059624\",\n \"text\": \"public StringListImpl(Collection _list) {\\n // Attempt to convert list to String List\\n this();\\n Iterator iter = _list.iterator();\\n while (iter.hasNext()) {\\n Object obj = iter.next();\\n if (obj instanceof String) {\\n list.add(obj);\\n } else if (obj instanceof byte[]) {\\n list.add(ConfigurationManager.bytesToString((byte[]) obj));\\n } else if (obj != null) {\\n list.add(obj.toString());\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1a138d93f172c2d9f8c4753e1fe69d23\",\n \"score\": \"0.42020178\",\n \"text\": \"private StringStringEntryProto(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {\\n super(builder);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d1eb4fca160caa09c955408b429de67\",\n \"score\": \"0.42001274\",\n \"text\": \"public IntStringHashMap(IntStringHashMap paramIntStringHashMap)\\n/* */ {\\n/* 87 */ super(paramIntStringHashMap);\\n/* */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"065b05f282c88866ab44f92c1e97be57\",\n \"score\": \"0.41985816\",\n \"text\": \"public Builder setReadableFeatures(\\r\\n String value) {\\r\\n if (value == null) {\\r\\n throw new NullPointerException();\\r\\n }\\r\\n bitField0_ |= 0x00000001;\\r\\n readableFeatures_ = value;\\r\\n onChanged();\\r\\n return this;\\r\\n }\",\n \"title\": \"\"\n 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query_id stringlengths 32 32 | query stringlengths 7 129k | positive_passages listlengths 1 1 | negative_passages listlengths 88 101 |
|---|---|---|---|
c5082979b53f6bece10233f528349d1c | PID for hood alignment TODO: find actual values for this | [
{
"docid": "02bb762e3c6ebc860d7ea8196710c7b8",
"score": "0.0",
"text": "void visionYAlign() {\n\t\tcogy = table.getNumber(\"COG_Y\", 217);\n\t\tif (cogy < 28) // backed up to defenses at courtyard\n\t\t{\n\t\t\thood.set(normPID(640, hood.getEncPosition(), .0048, 0));\n\t\t} else if (cogy < 55) {\n\t\t\t... | [
{
"docid": "90cf247558e9b809d7603ce7497e2797",
"score": "0.66491026",
"text": "protected double returnPIDInput() {\n\t\n return quadratureEncoderForPID.pidGet() / 3750;\n }",
"title": ""
},
{
"docid": "e7b60357bd971958bf0259e056227d45",
"score": "0.65405905",
"text": "publi... |
37a3d7da51c27696b96a930b11dc6c35 | The request.pipeline object has all the details about the pipeline, materials, stages and jobs | [
{
"docid": "30f2e367ce8f3b429738316601b54fe1",
"score": "0.47539935",
"text": "public Message onStageStatusChanged(PluginRequest pluginRequest, StageStatusRequest.Pipeline pipeline) {\n if(pipeline.stage.state.equals(STAGE_STATE_FAILED)) {\n return onStageFailed(pipeline, pluginRequest... | [
{
"docid": "859356dd9463634e95a092b849ffa443",
"score": "0.65937006",
"text": "public String getPipeline() {\r\n return pipeline;\r\n }",
"title": ""
},
{
"docid": "841d9a7a8a8c62ef9d77fbcc8b2235a8",
"score": "0.641641",
"text": "public HttpPipeline getHttpPipeline() {\n ... |
4b1e4026dfa54fe2341594f983d84eef | Test if it adds additional 0s. | [
{
"docid": "b018e39c889f404f7dd49fda1eec9fb9",
"score": "0.0",
"text": "@Test\n public void testStrInput4()\n {\n \tMoney strInput = new Money(\"1\");\n \tassertEquals(\"1.00\", strInput.toString());\n }",
"title": ""
}
] | [
{
"docid": "cfb1f39f44408fa3a2f1ec02ac8cf1fe",
"score": "0.6664766",
"text": "public void evensAreZero()\n {\n for ( int i = 0; i < this.values.length - 1; i++ )\n {\n \n }\n /*for ( int element : this.values )\n { \n double remainder = Math.... |
c23a7a6b28e2cf472cc0b017722eaed4 | get the group from the request | [
{
"docid": "79876caf431e9cb15da0f80b19845cee",
"score": "0.6304473",
"text": "public static RetrieveGroupHelperResult retrieveGroupHelper(HttpServletRequest request, Privilege requirePrivilege) {\n\n return retrieveGroupHelper(request, requirePrivilege, true);\n\n }",
"title": ""
}
] | [
{
"docid": "7f5b31336b52ba5bff4911b69f4324c2",
"score": "0.7186581",
"text": "public String getGroup() {return group;}",
"title": ""
},
{
"docid": "321894c8506126d8a6b19993b610a4de",
"score": "0.70131177",
"text": "public String getGroup() {\n return group;\n }",
"title": ""
... |
2d7b20b7565309af88f70d6c4bf39af5 | Retrieves RMap Agent in requested RDF format and forms an HTTP response. | [
{
"docid": "7fb91591942e56fa3572147d9cc839d6",
"score": "0.65381134",
"text": "public Response getRMapAgent(String strAgentUri, RdfMediaType returnType) throws RMapApiException\t{\n\t\tboolean reqSuccessful = false;\n\t\tResponse response = null;\n\t\ttry {\t\t\t\n\t\t\tif (strAgentUri==null || strAgent... | [
{
"docid": "700df25d6089c3e3195e0ff1f6c97aaa",
"score": "0.5761912",
"text": "public Response getRMapAgentHeader(String strAgentUri) throws RMapApiException\t{\n\t\tboolean reqSuccessful = false;\n\t\tResponse response = null;\n\t\ttry {\t\t\t\n\t\t\tif (strAgentUri==null || strAgentUri.length()==0)\t{\... |
41bf1bf912b756c1a816cf9b8fb17b79 | method start method launches the JavaFX application | [
{
"docid": "c2bce82639a67420505c404d5c7a6f3d",
"score": "0.74643433",
"text": "@Override\n public void start(Stage primaryStage)\n {\n //set up primary stage\n window = primaryStage; \n window.setOnCloseRequest(e -> \n {\n e.consume();\n ... | [
{
"docid": "9cb47344b64e46ec4cda1a60a9ed401d",
"score": "0.7658212",
"text": "public static void main(String[] args) {\t\r\n\t\t\r\n\t\t//Start the JavaFX application by calling launch()\r\n\t\tlaunch(args);\r\n\t}",
"title": ""
},
{
"docid": "4ea80d40318a2c692a25733aca2d9977",
"score": ... |
330c44f02cee9fc00f8168944f58e451 | works only when "automationName" is "UiAutomator2" | [
{
"docid": "f2bf784dc063cb34288f25036c5314ee",
"score": "0.0",
"text": "@Test\n public void findElementByXPath_nativeContext() {\n WebElement element = driver.findElement(By.xpath(\n \"/hierarchy/android.widget.FrameLayout/android.widget.LinearLayout/android.widget\" +\n ... | [
{
"docid": "c36800f77c747a0c6228ead00ed2bcf7",
"score": "0.69173527",
"text": "@Test(groups={\"ut\"})\r\n\tpublic void testCreateDefaultCapabilitiesWithAutomationName() {\r\n\t\tSeleniumTestsContext context = new SeleniumTestsContext(SeleniumTestsContextManager.getThreadContext());\r\n\t\tcontext.setBro... |
a39b28ca7eb05bfc5dfc33e23fdb80aa | Default arguments. No hgap, no vgap and to fill the cell. | [
{
"docid": "02a26d7d901ec238d8284b6de4c95c6c",
"score": "0.50166744",
"text": "public TableLayout() {\n\t\tthis(0, 0, true);\n\t}",
"title": ""
}
] | [
{
"docid": "434a356d2c692b95297a78161d21d064",
"score": "0.6291059",
"text": "@Override\n public boolean takeCellSpace() {\n return true;\n }",
"title": ""
},
{
"docid": "f122216848e5a621cc63de48c15840a9",
"score": "0.61751086",
"text": "@Override\r\n\tpublic void fill()... |
600671540f17bb617e714bff7fdbac2b | Creates a sampler to sample randomly from the combined distribution of the two samples. | [
{
"docid": "1bb91526232a4d574df022c5c7f6a29c",
"score": "0.64088804",
"text": "private static DoubleSupplier createSampler(double[] x, double[] y,\n UniformRandomProvider rng) {\n return createSampler(x, y, rng, MAX_ARRAY_SIZE);\n }",
"title":... | [
{
"docid": "e4bb7994f23468501f9fc552f038028e",
"score": "0.6353963",
"text": "static DoubleSupplier createSampler(double[] x, double[] y,\n UniformRandomProvider rng,\n int maxArraySize) {\n final int n = x.length;\n ... |
5349b088e88de23c0b2626327f694fee | Returns the factory that creates the instances of the model. | [
{
"docid": "d45aba8bd7aa5abe335b47d44577968f",
"score": "0.0",
"text": "EzlemurFactory getEzlemurFactory();",
"title": ""
}
] | [
{
"docid": "8af83f8e3ec615cf00c0d3490849f3ac",
"score": "0.7365279",
"text": "ModelsFactory getModelsFactory();",
"title": ""
},
{
"docid": "78d2b0addd6d9c58fda0934721f6d3b8",
"score": "0.7147646",
"text": "public ObjectifyFactory factory() {\n return ofy().factory();\n }",
"... |
667e0b583e8ed44b463c4757684010bd | go() will return true if all numbers in numArray are in decreasing order [31,12,6,2,1] | [
{
"docid": "1aacdf5e32baa8a36acc721582ef9e07",
"score": "0.80896974",
"text": "public static boolean go(int[] numArray)\n\t{\n\t\tboolean x=true;\n\t\tfor(int i=0; i < numArray.length-1; i++)\n\t\t{\n\t\t\tif (numArray[i] > numArray[i + 1])\n\t\t\t{\n\t\t\t\tx = true;\n\t\t }\n\t\t\telse\n\t\t\t{\n\t... | [
{
"docid": "82663ffb14a03d07c46b793ac60d7cb9",
"score": "0.63543564",
"text": "static boolean intArraySorted(int[] array){\n\tint bigger = array[0];\n\n\tfor (int i = 1; i < array.length; i++) {\n\t\t\n\t\tif(array[i]>=bigger) {\n\t\t\tbigger = array[i];\n\t\t}\n\t\telse {\n\t\t\treturn false;\n\t\t\t\... |
a334c73bab7966e92706c08062b2ce70 | Get the value of idProyecto | [
{
"docid": "0a5b98015223217d7eda883d8d9f3cee",
"score": "0.81353784",
"text": "private long getIdProyecto ( ) {\n return idProyecto;\n }",
"title": ""
}
] | [
{
"docid": "35c20ce150e298e979ddd660f43e0b8a",
"score": "0.7832318",
"text": "String getPropiedadId();",
"title": ""
},
{
"docid": "d66b27d4b0f3bc59cb368637b551d2bc",
"score": "0.73026323",
"text": "public int getIdproducto() {\r\n return idproducto;\r\n }",
"title": ""... |
cade610b53d1ddb289c5b0178809d5bd | Handle the key pressed event from the canvas. This is where we get the arrow keys. | [
{
"docid": "54919ff87f77c142dc00e7e81734e66b",
"score": "0.0",
"text": "public void keyPressed(KeyEvent e) {\n\t\tdisplayInfo(e, \"KEY PRESSED: \");\n\t}",
"title": ""
}
] | [
{
"docid": "1d35afc1374d90bf287d744e2d879eaa",
"score": "0.73740387",
"text": "public void keyPressed(KeyEvent e) {}",
"title": ""
},
{
"docid": "1d35afc1374d90bf287d744e2d879eaa",
"score": "0.73740387",
"text": "public void keyPressed(KeyEvent e) {}",
"title": ""
},
{
"d... |
9c0804c2655df096c72fdcc13d0f0bf3 | Testing that trying to get a singleton bean with cyclic dependency on itself | [
{
"docid": "6dd157c25ea817878de032b289f4b687",
"score": "0.6945409",
"text": "@Test(expected = CyclicDependencyRuntimeException.class)\n\tpublic void testCyclicSingletonDependencyRuntimeException2() {\n\t\tcontainer.define(\"cycle\", new Factory<Cycle>() {\n\t\t\t@Override\n\t\t\tprotected Cycle newBean... | [
{
"docid": "2747800c0963a970eb252a7aaede5c82",
"score": "0.7681211",
"text": "@Test\n\tpublic void testCyclicSingletonDependency() {\n\t\tcontainer.define(\"cycle1\", new Factory<Cycle>() {\n\t\t\t@Override\n\t\t\tprotected Cycle newBean(YasdicContainer c) {\n\t\t\t\treturn new Cycle();\n\t\t\t}\n\n\t\t... |
fe47c9174d3fda9b060deb092273d3d9 | draws an image using g at x and y | [
{
"docid": "89989876658c3123a28c0b0c7125d1c3",
"score": "0.0",
"text": "public void drawNextFrame(Graphics g, int x, int y){\n\t\tg.drawImage(getNextFrame(), x, y, null);\n\t}",
"title": ""
}
] | [
{
"docid": "7ab9428bf8da0743bf20407da1110cd5",
"score": "0.8041956",
"text": "void drawImage(BufferedImage image, double x, double y);",
"title": ""
},
{
"docid": "8498598016e90ec3e144291c3ba3f775",
"score": "0.7995893",
"text": "public void draw(Graphics g) {\n\tg.drawImage(img, pos... |
81212514226f68b7ce9367be79b102b7 | Initializes the controller class. | [
{
"docid": "f9ba934bf476a4bc83b5fa707d365029",
"score": "0.0",
"text": "@Override\n public void initialize(URL url, ResourceBundle rb) {\n data = FXCollections.observableArrayList();\n assert bigTable != null;\n restIDCol.setCellValueFactory(new PropertyValueFactory<>(\"rid\"));\... | [
{
"docid": "81faa7df12a5dd6fefc55b47b2efd1b0",
"score": "0.8280392",
"text": "public void initController() {}",
"title": ""
},
{
"docid": "0937619425644de844d3124eef9014f5",
"score": "0.7782119",
"text": "private void initializeController() {\n enableListeners();\n enab... |
e7098b2e3072e7debe937b67e5e5497d | True if the FigureData should be drawn in this variant. | [
{
"docid": "c4a387730cadd02e0043c51af7e6ae78",
"score": "0.0",
"text": "public boolean checkVariant(int variant) { return ((1<<variant) & this.variantMask) !=0; }",
"title": ""
}
] | [
{
"docid": "be5d5792fcc34fcf2b60c4a26ae2d5a9",
"score": "0.6823876",
"text": "boolean hasVisualization();",
"title": ""
},
{
"docid": "7c4912a01925828fbb1f55b79554d32d",
"score": "0.66493267",
"text": "public boolean okToDraw(ChartAnnotation annotation) {\n return true;\n }... |
dc4145cfdb7b0a65c41c043a275acfda | Start method invokes some initialization methods needed to start the agent | [
{
"docid": "b4f1b50250d7f58d45c0205895456f37",
"score": "0.0",
"text": "private void start() throws IOException {\n\n init();\n // This method reads some old config from a file and causes\n // unexpected behavior.\n // loadConfig(ImportModes.REPLACE_CREATE);\n addShutd... | [
{
"docid": "50e4d06b711b16f99c58b76644f038b5",
"score": "0.73665714",
"text": "public AgentInitialization() {\n\t\t\n\t}",
"title": ""
},
{
"docid": "2849a467e0abaf435a4592a1f9455a8f",
"score": "0.73359513",
"text": "protected void setup() {\n\t\t\n//\t\tSystem.out.println(\"[\" + ge... |
2a3e89f29c189dedd3d0f20cadad8f63 | Calculates average tempo of touches, sets it and starts metronome. Calculates tempo from 57 to 200 bpm. Recalculate after 1100 ms pause | [
{
"docid": "6bf58676224c96fda844a8456e9c9183",
"score": "0.69729733",
"text": "private void tapTempo() {\n int hp = metronome.headPosition();\n bpmf = bpm;\n playStatePrevious = metronome.getPlayState();\n // If tapped while playing, just after the previous click, it doesn't ... | [
{
"docid": "bb80f058e7bbe19e3257447fbc02449f",
"score": "0.6332185",
"text": "void tempo(double tempo) {\n\t\tdouble given_tempo = 120.0; \n\t\tdouble ratio = given_tempo/tempo; //flip, nice, done.\n\t\tfor(int i =0;i<hbd.size();i++) { //duration pitch, amplitude hold\n\t\t\tdouble new_duration = (hbd.g... |
9a954bb3cda87d72906f335b3056d8bb | Called when midlet switcher is needed. | [
{
"docid": "f2771ece3fa4075f0fff63a74b226484",
"score": "0.5355887",
"text": "void showMidletSwitcher(boolean onlyFromLaunchedList);",
"title": ""
}
] | [
{
"docid": "73a55b4166530f0600e6c0a70c77c562",
"score": "0.6798574",
"text": "void notifyMidletStarted(MIDletProxy midlet) {\n\t\t\tString midletClassName = midlet.getClassName();\n\t\t\tif (midletClassName.equals(manager.getClass().getName())) {\n\t\t\t\treturn; }\n\t\t\t\n\t\t\tif (midlet.getSuiteId()... |
4f3d5c8ba5eebb970e7c2ded62fd8a83 | / Code to run ONCE after the driver hits STOP | [
{
"docid": "b57b112364aead0e8067e7155e33a60b",
"score": "0.0",
"text": "@Override\n public void stop() {\n // Removed code when encoder motor for forklift replaced by Tetrix and extra push-button\n /*runtime.reset();\n while ((touch.isPressed() == false) && (forkLiftMotor.getCurr... | [
{
"docid": "d94d24cf501ec94c18d0d80c84974de2",
"score": "0.6910652",
"text": "@Override\n\tprotected void waitUntilStopped() {\n\t\t\n\t}",
"title": ""
},
{
"docid": "21b76fb5663d983fb1828411b6d11eac",
"score": "0.6851278",
"text": "@Override\n protected void doStop() {\n }",
... |
8e192310b93c89fd73bf26c62c70ccf2 | Sair da app terminado todas as threads ativas. | [
{
"docid": "0985196a2e679d8fcd4f19d09cc17e7b",
"score": "0.0",
"text": "@FXML\n void exitApp() {\n Platform.exit();\n System.exit(0);\n }",
"title": ""
}
] | [
{
"docid": "b3c3882585f4e2b9c82482e636c75d78",
"score": "0.7518069",
"text": "public void exit_bot()\r\n\t{\r\n\t\tbot.exit();\r\n\t\tfor ( Thread t : threads )\r\n\t\t\tt.interrupt();\r\n\t\tthis.interrupt();\r\n\t\tSystem.exit( 0 );\r\n\t}",
"title": ""
},
{
"docid": "9e7ecbf85ce55ef98e5c4... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "0a9ab790cbd0cffce13ef9967a9df3db",
"score": "0.0",
"text": "private void\n\tonActivityResult_BM_OK(Intent data) {\n\t\tString position = data.getStringExtra(CONS.Intent.iKey_BMActv_Position);\n//\t\tlong position = data.getLongExtra(CONS.Intent.iKey_BMActv_Position, -1);\n\t\t\n\t\tlong aiDb... | [
{
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"score": "0.68867725",
"text": "@Override\r\n\tpublic void comit() {\n\t\t\r\n\t}",
"title": ""
},
{
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"t... |
f54e67fa72d680cf5b060a0f5b711062 | Read the wms servers file list to populate the combobox | [
{
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"text": "private ArrayList<String> readWMSServerFile(InputStream layoutStream)\n \t\t\tthrows IOException {\n \t\tArrayList<String> serversList = new ArrayList<String>();\n \t\tBufferedReader bufferedReader = new BufferedReader(\n \t\t... | [
{
"docid": "3135d0adc8687765a28e5ab414b9bfc6",
"score": "0.6236219",
"text": "protected void setServerComboItems()\r\n\t{\r\n\t\tString type = typesCombo.getText();\r\n\t\tString[] servers = capServers.getServers(type);\r\n\t\t\r\n\t\t// types can be null still, so check it\r\n\t\tif (servers == null)\... |
9670beaab8085aaa19bc94179c7f5ad3 | For bus implementations that support dead lettering, construct the name of the dead letter entity for the underlying pipe name. | [
{
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"text": "public static String constructDLQName(String name) {\n\t\treturn name + \".dlq\";\n\t}",
"title": ""
}
] | [
{
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"text": "public void generateFlowName(){\n this.mDAGInfo.generateFlowName();\n\n }",
"title": ""
},
{
"docid": "6de588062c82af70a87c4e97f5877e38",
"score": "0.5496381",
"text": "public PipeNameBinding(XPro... |
be4b94f6397e19e282534916afd2281e | Output the current values to be logged | [
{
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"score": "0.0",
"text": "private void logValues(byte[] buffer)\n {\n \n if (!isLogging())\n {\n return;\n }\n try\n {\n FRDLogManager.INSTANCE.write(buffer);\n DatalogManager.IN... | [
{
"docid": "c66c32be4ff3a1ceb6f3f79329d76f88",
"score": "0.6993924",
"text": "public void printValues() {\n\t\t\tSystem.out.println(getB());\n\n\t\t}",
"title": ""
},
{
"docid": "afd651c6c0ac65439a6a55e6b04a8f56",
"score": "0.6973137",
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13190c3450b7a22750eb654c65f5b378 | Returns all the headers of this message. Headers are ordered in the sequence they will be sent over a connection. | [
{
"docid": "0ca052ae0618682f14e8fb7391c2d696",
"score": "0.6548409",
"text": "List<? extends Header> getAllHeaders();",
"title": ""
}
] | [
{
"docid": "ca80dc898b8bdc9b96c6b0d917330ddd",
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"text": "public Set<String> getHeaderNames() {\n return headers.keySet();\n }",
"title": ""
},
{
"docid": "01922f7de682120c478a08cef852e4e1",
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"text": "public HeaderSet getReceivedHea... |
92da5095acb5c34b4700615a971c7b4c | Get the shape's current state as a string | [
{
"docid": "6086fdcc438c4b5893b36eb7fadcdfa1",
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"text": "public String toString () {\n\t\tString state = (\"Origin at X: \" + origin.GetPointX() + \n\t\t\t\t\", Y: \" + origin.GetPointY() +\n\t\t\t\t\"\\nArea: \" + this.GetArea() +\n\t\t\t\t\"\\nCircumference: \" + this.GetCircumfer... | [
{
"docid": "4f19f59466742f526db80b9cdcdb137d",
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{
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"titl... |
58c3746ba9acc7b6de3af05851efa77d | Convert a BasicEvent Object to a a JMS message XML payload | [
{
"docid": "80cc95ac973ef77205f8a57e583a8d36",
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{
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"text": "public BasicEventXMLMessageConverter(){\n\t\t \n\t }",
"title": ""
},
{
"docid": "24b86d9709fd5fa107b62213a2b2ea46",
"score": "0.622225",
"text": "@Override\n\tpublic Object fromMessage(Message message) thr... |
3b663003cdb1f0309fcd2a3a4f24d301 | Test that when authenticate is called when a token needs refresh a new token is requested | [
{
"docid": "686b7909da74d82868ab72e9ac378096",
"score": "0.77022415",
"text": "@Test\n void authenticatePreemptiveRenewal() {\n CouchDbSessionAuthenticator a =\n Mockito.spy(testAuthenticator);\n // Stub token response\n CouchDbSessionAuthenticator.CouchDbSessionTo... | [
{
"docid": "63e5cbba095babccacd16ebb294540ed",
"score": "0.7770792",
"text": "@Test\n void authenticateExpiredRenewal() {\n CouchDbSessionAuthenticator a =\n Mockito.spy(testAuthenticator);\n // Stub token response\n CouchDbSessionAuthenticator.CouchDbSessionToken ... |
1b0db9a86fbc30535f4932272842fb48 | / renamed from: a | [
{
"docid": "d500f1f48e96b82bb2b66ef6bdd1dbfd",
"score": "0.0",
"text": "public final int mo19947a() {\n return this.f19397b;\n }",
"title": ""
}
] | [
{
"docid": "acca3c01e51d08a4d60d67937f3fd23f",
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"text": "public interface C2525a {\n /* renamed from: a */\n void m12672a();\n }",
"title": ""
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{
"docid": "0b5ec8f53273b48128542de9a10a26fa",
"score": "0.61942255",
"text": "public interface C353... |
245740c49eb2445ded859f989caf0a03 | Static = modifier. A single copy of a variable/method is created and shared The class "owns" the static member; does not need to create an object. | [
{
"docid": "8f7c062ad54bc93086dd7421e22f66ca",
"score": "0.0",
"text": "public static void main(String[] args) {\n\t\t\r\n\tFriends friends1 = new Friends(\"Amina\");\r\n\tFriends friends2 = new Friends(\"ndende\");\r\n\tFriends friend3 = new Friends(\"Ousmane\");\r\n\t\r\nSystem.out.println(Friends.Num... | [
{
"docid": "3d1dd6c779e663f343da82de4bf78dea",
"score": "0.6619147",
"text": "public JField setStatic(){\r\n\t\tthis.isStatic = true;\r\n\t\treturn this;\r\n\t}",
"title": ""
},
{
"docid": "f8897a2310dd0c46119910229a8d8ef5",
"score": "0.64848804",
"text": "public static void main(Str... |
8ba9cac5366a499bffc8f182d9edd2c1 | Convert Array into a List | [
{
"docid": "a82b8bd309b06bffda835ec044976e2b",
"score": "0.0",
"text": "@And(\"^Find first with matching results$\")\n public void findFirstWithMatchingResults() {\n List<String> chin = Arrays.asList(\"Arin\",\"Kola\",\"ArinBoss\",\"Azbhijeet\");\n\n String p = chin.stream().filter(a ->... | [
{
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"score": "0.8224755",
"text": "public static <X> List<X> toList(X[] array){\n return new ArrayList<>(Arrays.asList(array));\n }",
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},
{
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"score": "0.73915946",
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88b3be0f750b3f39d809266623f9d28a | HttpServlet doGet(HttpServletRequest request, HttpServletResponse response) | [
{
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"score": "0.0",
"text": "protected void doGet(HttpServletRequest request, HttpServletResponse response)\n throws ServletException, IOException {\n // Content type\n response.setContentType(\"text/html\");\n PrintWriter write ... | [
{
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"text": "public void doGet(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException {\r\n\r\n\t}",
"title": ""
},
{
"docid": "82513dc761d9d29f32c868f6a7a5f1ad",
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... |
0dab1c8f5c2be2b53290eb3d62661690 | If player played, remove callbacks and reset bar. Else update bar. | [
{
"docid": "e847060034ed866f404040e917bfa5d3",
"score": "0.5318565",
"text": "public void run() {\n \tif (playerHasPlayed) {\n \t\tmyHandler.removeCallbacksAndMessages(null);\n \t\tmyProgressBar.setProgress(0);\n \t} else {\n myProgressBar.setProgress(myProgres... | [
{
"docid": "c37cc916c17bf5d701f0b82ef54a9f2b",
"score": "0.618111",
"text": "private void primarySeekBarProgressUpdater() {\n \tseekBarProgress.setProgress((int)(((float)mediaPlayer.getCurrentPosition()/mediaFileLengthInMilliseconds)*100)); // This math construction give a percentage of \"was playing... |
2c01a3010320817f5cd6cec96db1ebf6 | $ANTLR start "command" /usr/local/cassandratrunk/src/java/org/apache/cassandra/cli/Cli.g:485:1: command : Identifier ; | [
{
"docid": "8ca2a12085b66b944e77123e9e77a8dc",
"score": "0.68205196",
"text": "public final CliParser.command_return command() throws RecognitionException {\n CliParser.command_return retval = new CliParser.command_return();\n retval.start = input.LT(1);\n\n CommonTree root_0 = null... | [
{
"docid": "ea00d556a415bcd4a0beb34224c7a754",
"score": "0.6044309",
"text": "static Command parseCommand(String command) {\n if (command == null || command.equals(\"<EOF>\")) {\n return new Command(Type.EOF);\n }\n command = command.toLowerCase();\n command = comm... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "7fa0055762a5ecc2f42d85aa35e3816a",
"score": "0.0",
"text": "public void modificar(Persona per) throws Exception {\n\t\tem.merge(per);\n\t\t\n\t}",
"title": ""
}
] | [
{
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"score": "0.69474965",
"text": "@Override\r\n\tpublic void sapace() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "8619203d4867f5c6d05eb9a5354405c0",
"score": "0.6920049",
"text": "@Override\n\t\tpublic void pintate() {\n\t\t\t\n\t\t}",
... |
1b544633c2886b0d8ef18c775c81cd06 | / renamed from: b | [
{
"docid": "2014e3c5a056aec577558bd9fdd21e89",
"score": "0.0",
"text": "private final void m6850b() {\n try {\n if (this.f2602c) {\n C0938m.m6816c().postDelayed(this, f2599a);\n }\n } catch (RuntimeException e) {\n throw e;\n }\n }"... | [
{
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"score": "0.71242756",
"text": "public void mo31290a(B b) {\n }",
"title": ""
},
{
"docid": "42a240fcb50daa3297554af7226fcd8a",
"score": "0.63455534",
"text": "abstract void mo3092b(Object obj, B b);",
"title": ""
},
{
... |
e1be920b5baaa5573ebb47fdab739c04 | If there are more than one error list them out. For example, list out validation errors by each field. | [
{
"docid": "549ae3d47556dc768e07320c1c0fb4a1",
"score": "0.56182456",
"text": "public OpenAPIDefinitionValidationResponseDTO errors(List<ErrorListItemDTO> errors) {\n this.errors = errors;\n return this;\n }",
"title": ""
}
] | [
{
"docid": "e12dbd0702f39abc7b9b9cf820009131",
"score": "0.6947672",
"text": "public List fieldErrors() {\n\t\treturn errors;\n\t}",
"title": ""
},
{
"docid": "023e0e9dbac149296c8067a8451f573b",
"score": "0.6788043",
"text": "@Override\n public String toString() {\n Strin... |
263dcb9838302d75cdd3db372cfbdb5b | Inflate the layout for this fragment | [
{
"docid": "43763fc1220bd2c90ec70cb7dc71f334",
"score": "0.6663112",
"text": "@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n v =inflater.inflate(R.layout.fragment_root_scan_things, container, false... | [
{
"docid": "4393c859154bbe16da7d6e207e3873ad",
"score": "0.68913364",
"text": "@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {\n return inflater.inflate(R.layout.rss_list_fragment, container, false);\n }",
"title": ""
},
... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "54c926df9613703956bac5580508ff18",
"score": "0.0",
"text": "@Override\n\t\t\t\tpublic void run() {\n\t\t\t\t\t\n\t\t\t\t\tString context = \"<div style=\\\"\\r\\n\" + \" display: block;\\r\\n\" + \" border: 1px solid #ccc;\\r\\n\"\n\t\t\t\t\t\t\t+ \" border-radius: 10px;\\r\\n\" + \... | [
{
"docid": "fd7df110e087032be8c98522c4493f41",
"score": "0.66835845",
"text": "@Override\n public void otvori() {\n }",
"title": ""
},
{
"docid": "fd7df110e087032be8c98522c4493f41",
"score": "0.66835845",
"text": "@Override\n public void otvori() {\n ... |
518bf5364cda3c6202a1a392996f93d1 | Inflate the menu; this adds items to the action bar if it is present. | [
{
"docid": "9f4637ed5c7c70c439f52e563ed77a90",
"score": "0.0",
"text": "@Override\r\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\t\tgetMenuInflater().inflate(R.menu.login, menu);\r\n\t\treturn true;\r\n\t}",
"title": ""
}
] | [
{
"docid": "af21c34586929dd479df15d2e4008cff",
"score": "0.72254854",
"text": "@Override\r\n\tpublic boolean onCreateOptionsMenu(Menu menu) {\n\t\tMenuInflater inflater = getMenuInflater();\r\n //inflater.inflate(R.menu.main_actions, menu);\r\n\t\treturn true;\r\n\t}",
"title": ""
},
{
... |
af1e4f3fb1fb54326d6e1d9363167232 | Removes the water from this maze's current tile. | [
{
"docid": "f46dc78fa02fcabcf2f58a3a06ba4db1",
"score": "0.88143736",
"text": "public void removeWater() {\n\t\tif (!myWaters.contains(myCurrTile.getPoint())) {\n\t\t\tthrow new IllegalStateException(\"No water on this maze tile!\");\n\t\t}\n\t\tmyWaters.remove(myCurrTile.getPoint());\n\t}",
"title"... | [
{
"docid": "2ae038971d68d142f0b5b9379dbdfcfe",
"score": "0.7302914",
"text": "public void removeTile() {\r\n if (tiles.remove(getTop()))\r\n shearLine--;\r\n }",
"title": ""
},
{
"docid": "2ade68270fea20d31bb63a54195e9b6f",
"score": "0.6711914",
"text": "@Overrid... |
3835c2d5a0ef7d0eadc2bdc0b72e77a5 | Set the log event mode as an enum | [
{
"docid": "ad4da88e611e1c31aaa33c6705284fe9",
"score": "0.68369544",
"text": "public void setLogEventMode(final LogEventMode logEventMode)\n\t{\n\t\tthis.logEventMode = logEventMode;\n\t}",
"title": ""
}
] | [
{
"docid": "5a7bcca1a035ab95b6814b22cf49f02a",
"score": "0.70896333",
"text": "public void setLogEventMode(final String logEventMode)\n\t{\n\t\tthis.logEventMode = LogEventMode.valueOf(logEventMode);\n\t}",
"title": ""
},
{
"docid": "34f383b5796594dfe44b5d49d7dcb61f",
"score": "0.6587298... |
cdce3b115592081bf3f2130490ca7cee | Return an FabricUser object with the provided certificate and private key. | [
{
"docid": "94aaacd7fde82d1ac0c161c9ed4fa43e",
"score": "0.68845546",
"text": "public static FabricUser getUser(String userId, String affiliation, String mspId, final String cert, final String pemPrivateKey) throws Exception {\n FabricUser appUser = new FabricUser(userId, affiliation, mspId, null... | [
{
"docid": "c22d7c8ecccc825820c2d24be30378a1",
"score": "0.5419792",
"text": "public static FabricUser deserialize(String name) throws Exception {\n String fileName = \"hf_\" + name + \".json\";\n String dirPath = getBaseDirectory() + \"/hf_users\";\n File jsonFile = new File(dirPat... |
8dc4b30677ef40f58423a37289418270 | Bezeichnung der Versandart "ShippingTypeID" .dstore.values.StringValue shipping_type = 10017; | [
{
"docid": "5285cda8acb21c21e0d74470ed6ca430",
"score": "0.59480155",
"text": "public io.dstore.values.StringValue getShippingType() {\n if (shippingTypeBuilder_ == null) {\n return shippingType_ == null ? io.dstore.values.StringValue.getDefaultInstance() : shippingType_;\n ... | [
{
"docid": "0cd2e7efd0bf873595f1793ca9ce55b8",
"score": "0.79004604",
"text": "io.dstore.values.StringValue getShippingType();",
"title": ""
},
{
"docid": "2124e91eb820c4532c107e2396d55ac9",
"score": "0.6673659",
"text": "io.dstore.values.StringValueOrBuilder getShippingTypeOrBuilder... |
4972fe55175be655e2e5b05000d1c74a | Creates new form RouteDetailsPanelView | [
{
"docid": "7a490b8fbc7d8029b05d278e010ac1db",
"score": "0.7706458",
"text": "public RouteDetailsPanelView() {\n initComponents();\n initTopPanel();\n }",
"title": ""
}
] | [
{
"docid": "0186e9574949d98cc6226072fed3c322",
"score": "0.599735",
"text": "@FXML\n private void handleNewRoute() {\n Route tempRoute = new Route();\n boolean okClicked = mainApp.showRouteEditDialog(tempRoute);\n if (okClicked) {\n mainApp.getRouteData().add(tempRoute... |
62bd650c638e9a494a974549687f7c1a | Returns true if field database is set (has been assigned a value) and false otherwise | [
{
"docid": "4b5710d802a3c2dacc67888c83a8c820",
"score": "0.717109",
"text": "public boolean isSetDatabase() {\r\n return this.database != null;\r\n }",
"title": ""
}
] | [
{
"docid": "d0e6a7f3e6b3344142f6573f949a96c5",
"score": "0.7618483",
"text": "public boolean isSetField() {\r\n return this.field != null;\r\n }",
"title": ""
},
{
"docid": "d0e6a7f3e6b3344142f6573f949a96c5",
"score": "0.7618483",
"text": "public boolean isSetField() {\r\n ... |
945678034b60a4810266f2ff0b1270fb | Update the bind parameters | [
{
"docid": "aae97cda528a84bd4096e6139c982851",
"score": "0.7916444",
"text": "void updateParamMap (List<BindParameter> bindParams);",
"title": ""
}
] | [
{
"docid": "49482817d3e7a46a28cc379b5732117a",
"score": "0.7805211",
"text": "@Override\n\tpublic void bindParameters() {\n\n\t}",
"title": ""
},
{
"docid": "2045d43c5088c9682e0caf0169db3fa5",
"score": "0.65404606",
"text": "protected void bind(PreparedStatement preparedStatement, Pa... |
b46e32726541c954077a3e5bf7919ff4 | Test case number: 57 /Coverage entropy=0.08600930325110791 | [
{
"docid": "76d3cb51a2bfb574267282985742f306",
"score": "0.0",
"text": "@Test(timeout = 4000)\n public void test057() throws Throwable {\n Frame frame0 = new Frame();\n ClassWriter classWriter0 = new ClassWriter((-2879));\n Item item0 = new Item();\n // Undeclared exception!\n ... | [
{
"docid": "fe2c88e93b06984ab138fd42b4ed1b18",
"score": "0.708867",
"text": "public void testEntropy() {\n Assert.assertEquals(1.0, InformationTheory.entropy(new long[] { 5, 5 }));\n Assert.assertEquals(1.0,\n InformationTheory.entropy(new long[] { 15, 15 }));\n\n // ... |
d1d467a95abeea57f93b219f5f8fafe8 | /Returns a vector of service objects by price | [
{
"docid": "0613b243de1a3bee35e88df16072fae6",
"score": "0.8030358",
"text": "public Vector<Service> getServiceByPrice(float price) {\n Statement stmt = null;\n ResultSet rs = null;\n Vector<Service> returnVec = new Vector<Service>();\n\n try {\n stmt = conn.creat... | [
{
"docid": "6edd60d8d6d5f1599b3d5d20239984d3",
"score": "0.6524247",
"text": "public Vector<Service> getAllServices() {\n Statement stmt = null;\n ResultSet rs = null;\n Vector<Service> returnVec = new Vector<Service>();\n\n try {\n stmt = conn.createStatement();\... |
fd2ac987df558273051616397a002405 | Created by fruit on 08.11.2017. | [
{
"docid": "75e9cd81277d27abe2568fdd6577f549",
"score": "0.0",
"text": "public interface Element {\n void print();\n}",
"title": ""
}
] | [
{
"docid": "663ac6f718361fb243bf093a1c7ded6a",
"score": "0.58791524",
"text": "@Override\r\n\tprotected void Goukakyuu() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "7679fd1b623986eeedb64db808e99029",
"score": "0.55611205",
"text": "@Override\n\t\t\tpublic void fahre() {\n\t\t\t\t\n\t... |
db14dff279aa6c424137005336968d4a | Find the _Fields constant that matches name, or null if its not found. | [
{
"docid": "df89e0a3046c32259e386bf9daf4403c",
"score": "0.0",
"text": "public static _Fields findByName(String name) {\n return byName.get(name);\n }",
"title": ""
}
] | [
{
"docid": "3153394dd5efe71fc805def104941b14",
"score": "0.7747651",
"text": "@org.apache.thrift.annotation.Nullable\n public static _Fields findByName(String name) {\n return byName.get(name);\n }",
"title": ""
},
{
"docid": "fea1511e55cd5ed747132c7946ddb7cf",
"score": "0.773... |
ba01dee07810a9cd8b90c587bf8b918f | criar classe com extend thread para aplicar o run para o backup | [
{
"docid": "d4891ee99df571249c3b69b1377f3a0e",
"score": "0.0",
"text": "public String ola() throws RemoteException{\n System.out.println(\"Print no rmi do tomcat\");\n return \"ola123\";\n }",
"title": ""
}
] | [
{
"docid": "848720973340f08f83f6ad12bb4b485f",
"score": "0.6354632",
"text": "private void runBuceador(){\n Thread t=new Thread(new Runnable(){\r\n Status status = new Status();\r\n \r\n @Override\r\n public void run() {\r\n //buceador.run();... |
3d727518fc2ad184090c345f5e039dc4 | Generate a sparse graph | [
{
"docid": "87528c3209a42f02836f796285016eda",
"score": "0.65900826",
"text": "public void generateSparse(int degree) {\n vertices_cache = new ArrayList<Vertex>(vertices);\n for(int j=0; j< degree; j++) {\n for(Vertex v: vertices_cache) {\n if(v.degree < degree) {... | [
{
"docid": "8b093790a4c6ca586c2aeb1b87ebdcc2",
"score": "0.67337465",
"text": "public Graph<State, Transition> createGraph(){\n Graph<State, Transition> g = new DirectedOrderedSparseMultigraph<State, Transition> ();\n startState.addToGraph(g);\n return g;\n }",
"title": ""
... |
42cad2d0b25d15c298c308bc4e3c1b30 | Faz a contabilidade das paginas de uma certa producao. Os valores sao lidos do arquivo como string, portanto eles tentam ser convertidos para inteiro dentro desse metodo. Caso nao seja possivel, o erro eh capturado e nao sao acrescentadas paginas na contabilidade total. Caso sejam transformadas com exito, verificase se... | [
{
"docid": "16f520922882ddb9e73bc3328c87d455",
"score": "0.56916356",
"text": "public void calculaQtdPags(String paginicial, String pagfinal) {\n\t\ttry {\n\t\t\tint pi = Integer.parseInt(paginicial);\n\t\t\tint pf = Integer.parseInt(pagfinal);\n\t\t\tif(pf >= pi && pf >= 0 && pi >= 0) {\n\t\t\t\tif(pf ... | [
{
"docid": "a9d8d1723c4fab3d53552f63cbd38964",
"score": "0.5753391",
"text": "@RequestMapping(\"/pagempleados10nuemod\")\r\n\tpublic String paginacionEmpleados10NueMod(Model modelo, @RequestParam(value = \"numPag\", required = false) String numPag,\r\n\t\t\t\t\t\t\t\t\t\t\t\t @RequestParam(value =... |
c57b120e9669567b59404978ed8ca00b | Task1: compute the miniFloat value from "bitSequence"; | [
{
"docid": "d40a251bea3585445fd526c3edc4410a",
"score": "0.74812824",
"text": "private static float miniFloatFromString(String bitSequence){\n \tdouble result;\r\n \tdouble exp = Math.pow(2, Integer.parseInt(bitSequence.substring(1,5),2));\r\n \tdouble k = 1;\r\n \tfor (int i=0;i<bitSequence... | [
{
"docid": "f5167dfb7d28efdce281d775e8284508",
"score": "0.7862508",
"text": "private static float miniFloatFromString(String bitSequence){\r\n // Task1: compute the miniFloat value from \"bitSequence\";\r\n String signCharacter = bitSequence.substring(0, 1);\r\n int sign = (Integer... |
edb0a4e2379bc629fb51aee576cff9e3 | Translates a number in decimal numeral system to limitnary numeral system and puts digits to list dest (with shift=limit\2 so that values were symmetric relatively to 0) | [
{
"docid": "3bab2a648b250df4a45d5dcab3fede8a",
"score": "0.670382",
"text": "public static void longToFunction(long value, long limit, List<Double> dest)\r\n\t{\r\n\t\tfor (int i = 0; i < dest.size(); i++)\r\n\t\t{\r\n\t\t\tlong digit = value % (2 * limit + 1);\r\n\t\t\tdest.set(i, (double) (digit - lim... | [
{
"docid": "712cab30ffb661d6fab7ec24b8475304",
"score": "0.5347037",
"text": "public List<Integer> rightDigit(List<Integer> values)\n\t{\n\t\treturn values.stream().map((x) -> Math.abs(x % 10)).collect(Collectors.toList());\n\t}",
"title": ""
},
{
"docid": "747872a932faaaaca040884d739e1cd4",... |
b46022833a631fc029705f9914e142c4 | sort array and return kth number | [
{
"docid": "e502f3cd6e1563e2d32fd38bfa73fb28",
"score": "0.684336",
"text": "public int findKthLargest1(int[] nums, int k) {\r\n if(nums == null || nums.length == 0) return 0;\r\n \tArrays.sort(nums);\r\n \treturn nums[nums.length - k]; \r\n }",
"title": ""
}
] | [
{
"docid": "ee8ad4a3de4b97facd11bce25d9ba38a",
"score": "0.75593853",
"text": "public static int kOrderValue(int[] array, int k) {\n //метод должен вернуть К по порядку элемент массива\n for (int j = 1; j < array.length; j++) {\n for (int i = 0; i <array.length - 1; i++) {\n ... |
1b0db9a86fbc30535f4932272842fb48 | / renamed from: a | [
{
"docid": "60ec87e2a8fe2f8bfa8c5983bb445145",
"score": "0.0",
"text": "public final void mo15058a(C33589k c33589k) {\n AppMethodBeat.m2504i(87510);\n if (this.jbE != null) {\n this.jbE.onShow(this);\n }\n this.jbG = c33589k;\n AppMethodBeat.m2505o(87510);\n... | [
{
"docid": "6cff49359236dc9748a42472eaf4954c",
"score": "0.63743937",
"text": "public interface C35155a {\n /* renamed from: a */\n void mo89459a();\n }",
"title": ""
},
{
"docid": "1ebc1f569daf5575be1aa061331ac667",
"score": "0.63378584",
"text": "public interface C... |
533651fdce7a3312dec41b131ab7472d | Returns the current orientation of the given worm (in radians). | [
{
"docid": "fa3fc9fa8589d58c3351bd11f23285ac",
"score": "0.8465428",
"text": "public double getOrientation(Worm worm){\n\t\treturn worm.getDirection();\n\t}",
"title": ""
}
] | [
{
"docid": "5f92b7930fd41c5d6910c8d1158516e3",
"score": "0.83963543",
"text": "public double getOrientation(Worm worm) {\n\t\treturn worm.getDirection();\n\t}",
"title": ""
},
{
"docid": "85eda56033af967c29b599c826d32887",
"score": "0.81095505",
"text": "@Override\n\tpublic double ge... |
6bb22829eae8da0c6df147efbe101b4b | Prints: firstname lastname host_id | [
{
"docid": "fa3f663f498833ffc8d983491ca3aa6b",
"score": "0.78137827",
"text": "@Override\n\tpublic String toString() {\n\t\treturn \"\" + firstName + \" \" + lastName + \" \" + host_id;\n\t}",
"title": ""
}
] | [
{
"docid": "9c27d04e2eef0243b3cbe9284a22fd78",
"score": "0.62613267",
"text": "public void displayHosts() {\n\t\tDescribeHostsResult result = this.ec2.describeHosts();\n\t\tList<Host> hosts = result.getHosts();\n\t\tfor(Host h : hosts) {\n\t\t\tSystem.out.println(h.getHostId());\n\t\t}\n\t}",
"title... |
ee7fbc888484e5bce3217a7090dc6817 | Se almacena en base de datos el nuevo modelo de cuestionario. | [
{
"docid": "0f4f2bee36c98c6dd181b2501a0c5885",
"score": "0.0",
"text": "public void guardaNuevoCuestionario() {\n try {\n modeloCuestionario.setAreas(listaAreasCuestionario);\n modeloCuestionario.setEstandar(false);\n modeloCuestionarioService.save(modeloCuestiona... | [
{
"docid": "730a604d696f1a3e2f2e193001157fd8",
"score": "0.6409225",
"text": "Navegacion createNavegacion();",
"title": ""
},
{
"docid": "64d330776330cc311b2297ab6cb47c39",
"score": "0.63945794",
"text": "public OperacionModelo() throws BbddException, FicheroException {\n pers... |
737fa5e70653f315891a980b32635f34 | private methods ================================================================================ attributes of selected layer | [
{
"docid": "bc3eb712f7ec92fd33d75e1659f1a0b8",
"score": "0.0",
"text": "private void loadAttributes()\n {\n AttributeHeader attributeHeader = mLayer.getAttributeHeader();\n LayoutInflater inflater = mMainActivity.getLayoutInflater();\n \n for(Column column: attributeH... | [
{
"docid": "cac501a0e6d46842639a1144e13ac330",
"score": "0.66635716",
"text": "String getLayer() {\n return layer;\n }",
"title": ""
},
{
"docid": "6ed59dbf2359b040f05dace2462f02cf",
"score": "0.6613605",
"text": "public void layerSelected(ImageLayer layer) {\n }",
"... |
55226f622a95fe2103a7ad59dc25ae5a | //////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////// read and print Operator(Mission) from .json get all .json files under one specific folder | [
{
"docid": "5c07098b253cd35999e3c22d8efb64ca",
"score": "0.724295",
"text": "public ArrayList<String> read_all_json_files () {\n// \tFile folder = new File(\"./configuration/missions/\");\n \t\n\t\tString destination = System.getProperty(\"user.dir\");\n\t\tint last_indes = destination.lastIndexOf... | [
{
"docid": "af594ea8d724e056a7f54937a9708b9b",
"score": "0.64439607",
"text": "public ArrayList<mission_node> load_mission_list() {\n \tArrayList<mission_node> mission_list = new ArrayList<mission_node>();\n \t\n \tArrayList<String> listOfFiles_json = read_all_json_files();\n \t\n \tfor (... |
eb9446de4f7daf67991a058ace2a97f7 | Returns the created Date of the task. | [
{
"docid": "0a24a0860454c6ec66aecab72761604a",
"score": "0.7559993",
"text": "@NonNull\n public Date getCreated() {\n return created;\n }",
"title": ""
}
] | [
{
"docid": "8be57d67267707920590538efb79e3e8",
"score": "0.76798373",
"text": "public Date getCreated() {\n\t\treturn created;\n\t}",
"title": ""
},
{
"docid": "8be57d67267707920590538efb79e3e8",
"score": "0.76798373",
"text": "public Date getCreated() {\n\t\treturn created;\n\t}",
... |
28cd1527ac093c45fb20f4bc84a58287 | Test case number: 145 /Coverage entropy=0.9556998911125343 | [
{
"docid": "e9e4645974510d6c54463ce4851c08cc",
"score": "0.0",
"text": "@Test(timeout = 4000)\n public void test145() throws Throwable {\n ErrorPage errorPage0 = new ErrorPage();\n TextArea textArea0 = new TextArea(errorPage0, \"'\\\"FT/\\\"T\", \"null\");\n textArea0._setParent(errorP... | [
{
"docid": "d6df76b4cd9e17e2c3e4b99debdb01f6",
"score": "0.7212412",
"text": "@Test\n public void test16() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = n... |
3c1c148d3ecff908cd8d999d5bde7616 | Constructor with Plateau and Position | [
{
"docid": "33aaafb8f89e4ba837b0cd2514c6e01c",
"score": "0.0",
"text": "public Rover(Plateau tableland, Position pos) {\n\t\tthis.tableland = tableland;\n\t\tthis.pos = pos;\n\t}",
"title": ""
}
] | [
{
"docid": "0ad587ddc3cedba21c9c53dbf3a80fe2",
"score": "0.699287",
"text": "public Posicion(){\r\n\t\tthis(Config.MIN_X, Config.MIN_Y);\r\n\t}",
"title": ""
},
{
"docid": "b8f2a9ea298a1d744c5d1a29146bacff",
"score": "0.69088435",
"text": "public Position() {\n this(0,0,0);\n ... |
1bf89447b80ec86ff401a389c9f91f7d | / access modifiers changed from: protected | [
{
"docid": "c286c3c8aef666fd75144f1295e21b87",
"score": "0.0",
"text": "public void onSizeChanged(int w, int h, int oldw, int oldh) {\n super.onSizeChanged(w, h, oldw, oldh);\n this.f764f = true;\n }",
"title": ""
}
] | [
{
"docid": "d18a5453cb937c44d51c46c967f1f4f6",
"score": "0.73730904",
"text": "protected void method_3848() {}",
"title": ""
},
{
"docid": "da34ed11fe7c5649b3cd0bdad6dca5df",
"score": "0.71932817",
"text": "@Override\n\t\tpublic void 비행() {\n\t\t\t\n\t\t}",
"title": ""
},
{
... |
72b0ca90874c277b35e859fda260fd6e | Tests persisting a file. | [
{
"docid": "3bfff5e10e260bafa3e86eb1a82c8aef",
"score": "0.7455043",
"text": "@Test\n public void persistTest() throws Exception {\n // write a file in alluxio only\n AlluxioURI filePath = new AlluxioURI(TEST_URI);\n FileOutStream os = mFileSystem.createFile(filePath,\n CreateFileOption... | [
{
"docid": "1c098ed63c2fe2f7e8bebbf6fb95aecd",
"score": "0.69178426",
"text": "@Test\n\tvoid save() {\n\t\tboolean successfulSave = repo.save(\"test.csv\");\n\t\tassertEquals(successfulSave, true);\n\t}",
"title": ""
},
{
"docid": "24e340cffd7e90445a11b318152bf3c1",
"score": "0.68343073"... |
779d3b45874a429630bf5ea4d78cba59 | / Had to edit this method in order for Null lists to work. | [
{
"docid": "32173ed58ab6c9dc38856a42c4a7596b",
"score": "0.0",
"text": "@Override\n public String toString()\n {\n String s = \"\";\n Node<E> curNode = head;\n if (curNode != null) // added null check here. RR.\n {\n s += curNode.data + \" -> \";\n ... | [
{
"docid": "d26d9cdb777cb0a9c81cf08777354a0f",
"score": "0.6443052",
"text": "@Override\n\tpublic List<E> init() {\n\t\treturn null;\n\t}",
"title": ""
},
{
"docid": "ad3cf9dfebcb176007684e5abc3f63cf",
"score": "0.6259565",
"text": "@Override\n\tpublic List<T> getValue()\n\t{\n\t\tre... |
95ea9e0709abd15c20e40c9d7d019f9f | Returns the corresponding value to a key in the keyMap (forward map). | [
{
"docid": "1b97736d024604d185a876bbd3ee9a3c",
"score": "0.6830299",
"text": "public V keyMapGet(K k) {\r\n return keyMap.get(k);\r\n }",
"title": ""
}
] | [
{
"docid": "2645067461e3c752c0d92f025f8dd67c",
"score": "0.7188137",
"text": "public String getValueFromMap(String key, String mapName);",
"title": ""
},
{
"docid": "d57116abf863d323d472205108c61aa8",
"score": "0.70709395",
"text": "public V get(final K key) {\n\t\treturn map.get(key... |
e5482510e4d4fefb8635e148dbfbfba8 | $ANTLR end "rule__AtomicExpr__Group_4__0" $ANTLR start "rule__AtomicExpr__Group_4__0__Impl" ../com.rockwellcollins.atc.resolute.ui/srcgen/com/rockwellcollins/atc/resolute/ui/contentassist/antlr/internal/InternalResolute.g:6441:1: rule__AtomicExpr__Group_4__0__Impl : ( () ) ; | [
{
"docid": "cce9b936d8e933ab3780963bcaa9879c",
"score": "0.76934344",
"text": "public final void rule__AtomicExpr__Group_4__0__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../com.rockwellcollins.atc.resolute.ui/src-gen/... | [
{
"docid": "b7e87c8d8a505405c061db449bd103aa",
"score": "0.8006624",
"text": "public final void rule__Atomic__Group_0__4() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../at.caks.eglipse.lang.glsl.ui/src-gen/at/caks/eglipse/la... |
b3fa9c2aa875f12ae094001a9ee9b072 | the constructor of the class | [
{
"docid": "03c6f99dc94ac2ad7565313878dd1f3a",
"score": "0.0",
"text": "public JWidgetMenuItemsManager(JWidgetManager jwidgetManager) {\n\n\t\tthis.jwidgetManager = jwidgetManager;\n\t}",
"title": ""
}
] | [
{
"docid": "58242129d885d67e85588b2959587d6f",
"score": "0.75569093",
"text": "public Casilla() {\r\n }",
"title": ""
},
{
"docid": "ef3ca941b79c6c00101bfe23873f9560",
"score": "0.75321984",
"text": "public HoDan() {\r\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "5bc920f6... |
c359ab81e02129697b6e83ebd2d4b10b | Get the displayValues value. | [
{
"docid": "e1bca77eaaa17e093e6f075eeaf5308d",
"score": "0.82267916",
"text": "public Object displayValues() {\n return this.displayValues;\n }",
"title": ""
}
] | [
{
"docid": "4e56acd2985778498553368ab0a62229",
"score": "0.6990504",
"text": "public String getDisplayValue();",
"title": ""
},
{
"docid": "2f4f9d60ba90691a3ddbf18dbbf054d1",
"score": "0.670213",
"text": "public String getValueToShow() {\n return valueToShow;\n }",
"tit... |
8d46c3c37941dcb76bdf972a376b94ba | The number of errors in the API Definition | [
{
"docid": "528884f8a1df3a1dfa012d3d1b1c90d8",
"score": "0.0",
"text": "public AuditReportDTO numErrors(Integer numErrors) {\n this.numErrors = numErrors;\n return this;\n }",
"title": ""
}
] | [
{
"docid": "79c9c3b8f62c1cf85b9c2f46b5d08b24",
"score": "0.79244775",
"text": "int getErrorCount();",
"title": ""
},
{
"docid": "79c9c3b8f62c1cf85b9c2f46b5d08b24",
"score": "0.79244775",
"text": "int getErrorCount();",
"title": ""
},
{
"docid": "79c9c3b8f62c1cf85b9c2f46b5... |
ccf88f073d671ed96c07a9063403b826 | This ensures that response callbacks run in the invocation context, not the client one. This allows async chaining to appear caused by the parent, not by the most recent client. Otherwise, we would see a client span child of a client span, which could be confused with duplicate instrumentation and affect dependency lin... | [
{
"docid": "9c06991b7b8d2b22c60c563bd0217b44",
"score": "0.5894192",
"text": "@Test public void callbackContextIsFromInvocationTime() {\n AssertableCallback<HelloReply> callback = new AssertableCallback<>();\n\n // Capture the current trace context when onSuccess or onError occur\n AtomicRefere... | [
{
"docid": "597c1c739983bc22293e898c2d61840f",
"score": "0.6609689",
"text": "@Test public void usesParentFromInvocationTime() {\n server.enqueueDelay(TimeUnit.SECONDS.toMillis(1));\n GreeterGrpc.GreeterFutureStub futureStub = GreeterGrpc.newFutureStub(client);\n\n TraceContext parent = newTrac... |
3cc21096b6eca779a688539d1968913e | Handle action bar item clicks here. The action bar will automatically handle clicks on the Home/Up button, so long as you specify a parent activity in AndroidManifest.xml. | [
{
"docid": "2d7d5b9a550bb258b680a9b860c017a8",
"score": "0.0",
"text": "@Override\n\tpublic boolean onOptionsItemSelected(MenuItem item) {\n\t\tint id = item.getItemId();\n\t\tif (id == R.id.action_settings) {\n\t\t\treturn true;\n\t\t}\n\t\treturn super.onOptionsItemSelected(item);\n\t}",
"title": ... | [
{
"docid": "e82ca6202d1e2bfa26947f3955c40bbe",
"score": "0.7841155",
"text": "@Override\r\n public boolean onOptionsItemSelected(MenuItem item) {\r\n switch (item.getItemId()) {\r\n case android.R.id.home:\r\n // app icon in action bar clicked; go home\r\n ... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "1e198f4de498b425733ce647305dd697",
"score": "0.0",
"text": "@Override\n public Object getItem(int arg0) {\n return arg0;\n }",
"title": ""
}
] | [
{
"docid": "663ac6f718361fb243bf093a1c7ded6a",
"score": "0.66285414",
"text": "@Override\r\n\tprotected void Goukakyuu() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "80d20df1cc75d8fa96c12c49a757fc43",
"score": "0.65323734",
"text": "@Override\n\tprotected void getExras() {\n\t\t\n\t}"... |
c3317449bf9aca0704dac120a5aed75d | Returns an ArrayList of RavensAttribute characterizing this RavensObject. | [
{
"docid": "1a4849c87aa5c3099a1cc4ff07eac7e5",
"score": "0.8085473",
"text": "public ArrayList<RavensAttribute> getAttributes() {\r\n return attributes;\r\n }",
"title": ""
}
] | [
{
"docid": "1eb0bf908ce006471b08dee2834b6189",
"score": "0.7042175",
"text": "public String[] getAtrributesList() {\n return attributesList;\n }",
"title": ""
},
{
"docid": "9773f6a162fa0b50cdad38ce54e8331d",
"score": "0.70240396",
"text": "public List getAttributes() {\n ... |
bd60d2ccfff5aea41845a9afe2ccc46e | observable object which notifies observers about the changes in its state | [
{
"docid": "14d1bcf253ff2dd9453b7595316db548",
"score": "0.6591838",
"text": "public void observer() {\n support.firePropertyChange(\"0\", this.running,\"0\");\n }",
"title": ""
}
] | [
{
"docid": "9cf2bf923218593b9791a66658c7a346",
"score": "0.7711521",
"text": "private void stateChanged() {\r\n setChanged();\r\n notifyObservers();\r\n }",
"title": ""
},
{
"docid": "08b2ecb97d33ebb930e84b6310c06ff5",
"score": "0.7354572",
"text": "public interface ... |
61f0955a4d30129480363e5008d1f131 | Creates an AgentCommandParser from the passed command and validates that the content within matches the passed expected values | [
{
"docid": "16df5bef28fdf2172b8a9b2d21fe0c6a",
"score": "0.0",
"text": "public static void test(final String cmd, final String zookeep, final String app, final String host, final JMXMPSpec[] specs, final Endpoint[] endpoints) {\n\t\tfinal AgentCommandParser parser = new AgentCommandParser(cmd).parse();\... | [
{
"docid": "40a9c77edd98aa356267dbc95d03151d",
"score": "0.55234516",
"text": "private <T extends Command> T parseAndAssertCommandType(String input, Class<T> expectedCommandClass) {\n final Command result = parser.parseCommand(input);\n assertTrue(result.getClass().isAssignableFrom(expecte... |
6649f931ba72462a5b3077ddfcf5dbf8 | This method was generated by Apache iBATIS ibator. This method returns the value of the database column users.account | [
{
"docid": "8e5c8f428469465e821af159fb84e14c",
"score": "0.76211625",
"text": "public String getAccount() {\r\n return account;\r\n }",
"title": ""
}
] | [
{
"docid": "dbf81767741571945cb829c06002e5dd",
"score": "0.78057545",
"text": "public String getAccount() {\n\n return this.account;\n }",
"title": ""
},
{
"docid": "7f1095153e4dd52a3fa3c2507c727161",
"score": "0.78038603",
"text": "public String getAccount () {\n\t\treturn... |
3b6b63b7c29c041a126660e05d5843e1 | Test case number: 152 /Coverage entropy=0.6597507775722828 | [
{
"docid": "bfb02ad21412da1c54a13fb7c4d3802f",
"score": "0.0",
"text": "@Test(timeout = 4000)\n public void test152() throws Throwable {\n Frame frame0 = new Frame();\n ClassWriter classWriter0 = new ClassWriter(1);\n Item item0 = classWriter0.newFieldItem(\"<VoE'a%?%c7X*yCJ\", \"<VoE'... | [
{
"docid": "edbd254adb205bdee80095b913541089",
"score": "0.7058078",
"text": "@Test(timeout = 4000)\n public void test085() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate();\n Evaluation evaluation0 = new Evalua... |
d687c8d0c750eceef911f5430643c832 | Translate a premultiplied integer number (e.g. 35) to a localespecific percentage (35%). wholeNumberToPercentage(88) > 88% | [
{
"docid": "7569c912e98464ec3dc765fc9ffe05ec",
"score": "0.73993653",
"text": "public static String wholeNumberToPercentage(int n) {\n return I.trf(\"{0,number,percent}\", n / 100.0);\n }",
"title": ""
}
] | [
{
"docid": "4862343ab0f8fd39cd4a2e0d0ae6e395",
"score": "0.683781",
"text": "public static String fractionalNumberToPercentage(Number n) {\n Locale l = I.languageProvider.vend().locale;\n NumberFormat fmt = NumberFormat.getPercentInstance(l);\n fmt.setMaximumFractionDigits(2);\n fmt.setMinim... |
23b559fd076cd63bdd948a69d4785f4c | Constructs a new world rumbler the will rumble 'camera' when called upon | [
{
"docid": "d0595be5df13837036624e3fd471bf3c",
"score": "0.7962702",
"text": "public WorldRumbler(OrthographicCamera camera) {\n\t\tthis.camera = camera;\n\t\trandom = new Random();\n\t}",
"title": ""
}
] | [
{
"docid": "871528cf4b87144eaf7071cdd8a76404",
"score": "0.6545384",
"text": "World createWorld();",
"title": ""
},
{
"docid": "4ed73fffc480b1b0d5b79abd7630c1f9",
"score": "0.6404444",
"text": "private Level bgWorldSetup() {\n float w = Gdx.graphics.getWidth();\n float ... |
f60da48947dc2f00ab030e1d7f2ceb8d | Pass the settings flags by inserting them in a bundle | [
{
"docid": "c737b65caf7b4e4582a7f514472b909e",
"score": "0.0",
"text": "public void onSync(MenuItem v){\n Bundle settingsBundle = new Bundle();\n settingsBundle.putBoolean(\n ContentResolver.SYNC_EXTRAS_MANUAL, true);\n settingsBundle.putBoolean(\n Cont... | [
{
"docid": "8c442ab20b1ca9a3390c609175b42e66",
"score": "0.5999389",
"text": "void setFlags(String flags);",
"title": ""
},
{
"docid": "92ed4fc8d3f24f0dc341f1e2a1e1bd16",
"score": "0.5913234",
"text": "private void customizeSettingValues(Context context, SharedPreferences sp) {\r\n /... |
9ed2df3d7fa6274ab9158f42b29f5e4c | Returns true if the current array or object has another element. | [
{
"docid": "1bf3f12c487aaec2f67dee931add1c50",
"score": "0.0",
"text": "public boolean hasNext() throws IOException {\n int p = peeked;\n if (p == PEEKED_NONE) {\n p = doPeek();\n }\n return p != PEEKED_END_OBJECT && p != PEEKED_END_ARRAY && p != PEEKED_EOF;\n }",
"title": ""
}
] | [
{
"docid": "31c1d42990b08a911184c3e11e9136e9",
"score": "0.70698726",
"text": "public boolean hasElement() {\n return instance.hasElement();\n }",
"title": ""
},
{
"docid": "b96d57712a2978403ff8d9e5a5cafd50",
"score": "0.66940755",
"text": "@Override\n public boolean contain... |
d35d747ff73bbebf7a2bbcf64df8c056 | Symbol (im Regelfall der ISOCode) der Einheit "CurrencyID" .dstore.values.StringValue currency = 10013; | [
{
"docid": "8215a1b76b24740db615aa0d534699d2",
"score": "0.5674347",
"text": "public io.dstore.values.StringValue getCurrency() {\n if (currencyBuilder_ == null) {\n return currency_ == null ? io.dstore.values.StringValue.getDefaultInstance() : currency_;\n } else {\n ... | [
{
"docid": "c2b43e199e5f587c9a81b0eaff334121",
"score": "0.7622318",
"text": "io.dstore.values.StringValue getCurrency();",
"title": ""
},
{
"docid": "17e09e1bf1afc139471df171410f4d29",
"score": "0.66516757",
"text": "public String getCurrencySymbol() {\n\t\tbyte[] arr = m_struct.Cur... |
7f02ec8a551f844c15c60bf61cfa7660 | / PackageDeclaration: 'package' name = QualifiedName ';' ; / QualifiedNameWithWildcard: QualifiedName "."?; | [
{
"docid": "5c38ca27757d45e456bf45f555ac7cf5",
"score": "0.5044758",
"text": "public QualifiedNameWithWildcardElements getQualifiedNameWithWildcardAccess() {\n\t\treturn (pQualifiedNameWithWildcard != null) ? pQualifiedNameWithWildcard : (pQualifiedNameWithWildcard = new QualifiedNameWithWildcardElement... | [
{
"docid": "dd08a7a9d274f1cf6edd28e59e22d59f",
"score": "0.7137841",
"text": "PackageDeclaration createPackageDeclaration();",
"title": ""
},
{
"docid": "37320c8bfe87c2cbdb13a7d5b0fb7791",
"score": "0.65713537",
"text": "public void visitPackageDeclaration(GNode n){\n\t\t\t\t\tString... |
7b4a066f84529c7eccd8a1a685d0aed2 | Test case number: 2 /Coverage entropy=1.0986122886681096 | [
{
"docid": "119920265d663e626dabfd31900ea714",
"score": "0.0",
"text": "@Test(timeout = 4000)\n public void test2() throws Throwable {\n MockInetAddress.getByName(\"Couldn't close input stream\");\n Proxy proxy0 = Proxy.NO_PROXY;\n MockSocket mockSocket0 = new MockSocket(proxy0);\n ... | [
{
"docid": "dc7afd015f73b66477d28310a9524aa9",
"score": "0.6935201",
"text": "@Test\n public void testEntropy() {\n System.out.println(\"entropy\");\n TDistribution instance = new TDistribution(20);\n Assert.assertEquals(1.46954202, instance.entropy(), 1.0E-7);\n }",
"titl... |
21108cbf6b3ae7596ff242a5aabc5656 | recuperation du patient par id | [
{
"docid": "708d1b00496c4edbc7da1db0d707ac14",
"score": "0.626485",
"text": "receptionniste getRep(int id) throws SQLException;",
"title": ""
}
] | [
{
"docid": "393a12eb89bc9b7d8eb61a513489d59e",
"score": "0.75159436",
"text": "public Patient getPatient(int id_patient);",
"title": ""
},
{
"docid": "bbf3a29e29ddc08a8a5bec515bd2b21a",
"score": "0.7161092",
"text": "int getPatientId();",
"title": ""
},
{
"docid": "d2e1c6... |
c6c7cf8d1f74608b23ea62b3fbffdbdd | deleteAll: Deletes all existing customers from the database. DELETE request to /customers/DeleteAll. | [
{
"docid": "07576a4eba9735126fdc3303f519356a",
"score": "0.804161",
"text": "@Transactional\n @Security.Authenticated(ActionAuthenticator.class)\n public Result deleteAll() {\n int count = customerService.deleteAll();\n if (count == 0)\n return ok(\"No customers currently ... | [
{
"docid": "ecf73803d7b5b2d222c0c73bcd528fac",
"score": "0.7861064",
"text": "@DeleteMapping(\"/Customers\")\n\tpublic String deleteAll() {\n\t\tlog.debug(\"All Customers are Deleted Successfully\");\n\t\tcustomServiveImpl.deleteAllCustomers();\n\t\treturn \"All employee records deleted.\";\n\t}",
"... |
9b34aed9f00df34f5e2997bfa0a3a72c | onPostExecute used to return results | [
{
"docid": "e4a78bffa23ab9a0b1b39eb0110a51de",
"score": "0.71620375",
"text": "@Override\n protected void onPostExecute(String[] data) {\n super.onPostExecute(data);\n delegate.processFinish(data);\n }",
"title": ""
}
] | [
{
"docid": "c12a2700f79ef4b941c7f0fda21a03f8",
"score": "0.8189538",
"text": "@Override\n protected void onPostExecute(List result)\n {\n }",
"title": ""
},
{
"docid": "685bd4d07025d34317a89ef524d8a296",
"score": "0.8155944",
"text": "protected void onPostExecute(Object resu... |
9e05b451029c38ef068d0d3cd636813a | Sets an object declared in the rule complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1. | [
{
"docid": "40574e0cd53645232b872fde0685ee87",
"score": "0.7393025",
"text": "private void setObject_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(int index, Object value) {\r\n switch (index) {\r\n case 0: this.module_entity_Action_1 = (module.entity.Action) value; break;\r... | [
{
"docid": "f15e6b2c9db3c2df25bee1afc64bd79b",
"score": "0.7401507",
"text": "private void setObjects_complementaryRoles_PATH_1_GOAL_1_COMPONENT_txtParcela1_1(Object[] objects) {\r\n module_entity_Action_1 = (module.entity.Action) objects[0];\r\n module_entity_MERFunction_1 = (module.entit... |
3550b1132ae1445b128dae2e55ba00a8 | DataAccessObject Interface Extend the ReadOnly form (for Get), and add manipulation methods | [
{
"docid": "2d255a9f50314737af37da9bdb7421bf",
"score": "0.61414695",
"text": "public interface DAO<TRANS extends Trans,DATA> extends DAO_RO<TRANS,DATA> {\n\tpublic Result<DATA> create(TRANS trans, DATA data);\n\tpublic Result<Void> update(TRANS trans, DATA data);\n\t// In many cases, the data has been ... | [
{
"docid": "2888867b2acf6675e8dc323e59bc577c",
"score": "0.65610975",
"text": "public interface DataAccessObject {\r\n\r\n\t/**\r\n\t * Permet d'ajouter une note a la base de donnee.\r\n\t * \r\n\t * @param note\r\n\t * La note a ajouter.\r\n\t */\r\n\tvoid ajouterNote(Note note);\r\n\r\n\t/*... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "97d85b582e0f97db9a0a3103cbdda28b",
"score": "0.0",
"text": "public static void main(String[] args) {\n\t\tTreeNode root=new TreeNode(1);\n\t\troot.left=new TreeNode(2);\n\t\troot.right=new TreeNode(3);\n\t\troot.left.left=new TreeNode(4);\n\t\troot.right.right=new TreeNode(5);\n\t\tTreeNode ... | [
{
"docid": "ef1b6c3f597a66c59960d73eadee6f25",
"score": "0.6904447",
"text": "private void apparence()\n\t\t{\n\n\t\t}",
"title": ""
},
{
"docid": "4862518dedb9e169c3cc620e5ebe04c5",
"score": "0.6696056",
"text": "@Override\r\n\tpublic void atura() {\n\t\t\r\n\t}",
"title": ""
... |
6429230be1fd11661ec8cfb575501226 | MOVES ALL OBJECTS IN THE WINDOW | [
{
"docid": "8a2c67655d2847f0bf97c19faad5b2c5",
"score": "0.5977497",
"text": "public void move()\r\n {\r\n \tone.move();\r\n \tmoveZombies();\r\n \tmoveBullets();\r\n }",
"title": ""
}
] | [
{
"docid": "d6abfd1977d228fca26574c904ee6aea",
"score": "0.7046634",
"text": "public void moveObjects() {\n try {\n if (getEnemies().size() > 0) {\n for (Enemy enemy : getEnemies()) {\n enemy.move();\n }\n }\n } catch (... |
9a85942b470551588f56e680ad483846 | System.out.println("enter size"); int n = s.nextInt(); | [
{
"docid": "0c5f3c27c6b92f2649a912ab216d9777",
"score": "0.0",
"text": "public static long[] takeinput(int n) {\n\t\tlong arr[] = new long[n];\r\n\t\tfor (int i = 0; i < arr.length; i++) {\r\n\t\t\tarr[i] = 0;\r\n\t\t}\r\n\t\treturn arr;\r\n\t}",
"title": ""
}
] | [
{
"docid": "471fcb171ff17382180ac9e3527a0671",
"score": "0.69301945",
"text": "public static void main(String[] args) {\n\r\n\r\n\r\n\r\n Scanner sc = new Scanner(System.in);\r\n\r\n int n = sc.nextInt();\r\n int[] arr = new int[n];\r\n \r\n for(int i=1; i<n; i++) {\r\... |
f30663803260a5d1bd17269380437777 | This cast should not fail as we should not have other implementations of ReadableStringMap in the client. | [
{
"docid": "ae6bcfcce542764adace5309ea2f993c",
"score": "0.0",
"text": "@Override\n public void putAll(ReadableStringMap<V> pairsToAdd) {\n backend.putAll(((JsoStringMap<V>) pairsToAdd).backend);\n }",
"title": ""
}
] | [
{
"docid": "bdb8b6c1059bb83d02b4fe3e56b60a1b",
"score": "0.5714416",
"text": "public interface MapStringSupport {\n public String getObjectMappedString();\n}",
"title": ""
},
{
"docid": "81d87172c6db0fa30788dc6419174da1",
"score": "0.5298197",
"text": "StringMap getAsProperties();... |