();\r\n\t\ttca.add(a);tca.add(b);tca.add(c);tca.add(d);tca.add(e);tca.add(f);\r\n\t\tList<StatementEntity> sea = new ArrayList<>();\r\n\t\tsea.add(s1);sea.add(s2);sea.add(s3);\r\n\t\tcodeCoverage =new CodeCoverage<StatementEntity>(tca,sea,null);\r\n\t\tcodeCoverage.setLink(a, s1);\r\n\t\tcodeCoverage.setLink(a, s3);\r\n\t\tcodeCoverage.setLink(c, s1);\r\n\t\tcodeCoverage.setLink(c, s3);\r\n\t\tcodeCoverage.setLink(e, s3);\r\n\t\tcodeCoverage.setLink(f,s1);\r\n\t}","title":""},{"docid":"bd49e37e0d2d6f02b5f1a19c2031ce9f","score":"0.5969645","text":"@Test(timeout = 4000)\n public void test62() throws Throwable {\n CostMatrix costMatrix0 = Evaluation.handleCostOption(\"\", 0);\n assertNull(costMatrix0);\n \n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n assertEquals(\"Whether to store the filename in an additional attribute.\", textDirectoryLoader0.outputFilenameTipText());\n assertFalse(textDirectoryLoader0.getOutputFilename());\n assertEquals(\"Whether to print additional debug information to the console.\", textDirectoryLoader0.debugTipText());\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 assertFalse(textDirectoryLoader0.getDebug());\n assertEquals(\"\", textDirectoryLoader0.getCharSet());\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 assertNotNull(textDirectoryLoader0);\n \n Instances instances0 = textDirectoryLoader0.getDataSet();\n assertEquals(\"Whether to store the filename in an additional attribute.\", textDirectoryLoader0.outputFilenameTipText());\n assertFalse(textDirectoryLoader0.getOutputFilename());\n assertEquals(\"Whether to print additional debug information to the console.\", textDirectoryLoader0.debugTipText());\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 assertFalse(textDirectoryLoader0.getDebug());\n assertEquals(\"\", textDirectoryLoader0.getCharSet());\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(\"_home_ubuntu_evosuite_readability_gen_projects_107_weka\", instances0.relationName());\n assertEquals(0, instances0.numClasses());\n assertEquals(1, instances0.classIndex());\n assertEquals(0.0, instances0.sumOfWeights(), 0.01);\n assertEquals(0, instances0.size());\n assertTrue(instances0.checkForStringAttributes());\n assertEquals(0, instances0.numInstances());\n assertEquals(2, instances0.numAttributes());\n assertNotNull(instances0);\n \n CostSensitiveClassifier costSensitiveClassifier0 = new CostSensitiveClassifier();\n assertEquals(1, CostSensitiveClassifier.MATRIX_ON_DEMAND);\n assertEquals(2, CostSensitiveClassifier.MATRIX_SUPPLIED);\n assertFalse(costSensitiveClassifier0.getDebug());\n assertEquals(\"The random number seed to be used.\", costSensitiveClassifier0.seedTipText());\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(\"If set to true, classifier may output additional info to the console.\", costSensitiveClassifier0.debugTipText());\n assertEquals(1, costSensitiveClassifier0.getSeed());\n assertEquals(0, costSensitiveClassifier0.graphType());\n assertEquals(\"Sets the cost matrix explicitly. This matrix is used if the costMatrixSource property is set to \\\"Supplied\\\".\", costSensitiveClassifier0.costMatrixTipText());\n assertEquals(\"The base classifier to be used.\", costSensitiveClassifier0.classifierTipText());\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 assertFalse(costSensitiveClassifier0.getMinimizeExpectedCost());\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 assertNotNull(costSensitiveClassifier0);\n \n TestInstances testInstances0 = new TestInstances();\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getNoClass());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(0, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumRelationalNumeric());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getClassType());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertNotNull(testInstances0);\n \n Instances instances1 = testInstances0.generate();\n assertFalse(instances1.equals((Object)instances0));\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getNoClass());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(0, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumRelationalNumeric());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getClassType());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(20, instances1.numInstances());\n assertEquals(2, instances1.numAttributes());\n assertEquals(\"Testdata\", instances1.relationName());\n assertEquals(1, instances1.classIndex());\n assertEquals(2, instances1.numClasses());\n assertFalse(instances1.checkForStringAttributes());\n assertEquals(20.0, instances1.sumOfWeights(), 0.01);\n assertEquals(20, instances1.size());\n assertNotNull(instances1);\n assertNotSame(instances1, instances0);\n \n Evaluation evaluation0 = new Evaluation(instances1, (CostMatrix) null);\n assertFalse(instances1.equals((Object)instances0));\n assertEquals((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getNoClass());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(0, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumRelationalNumeric());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getClassType());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(20, instances1.numInstances());\n assertEquals(2, instances1.numAttributes());\n assertEquals(\"Testdata\", instances1.relationName());\n assertEquals(1, instances1.classIndex());\n assertEquals(2, instances1.numClasses());\n assertFalse(instances1.checkForStringAttributes());\n assertEquals(20.0, instances1.sumOfWeights(), 0.01);\n assertEquals(20, instances1.size());\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedFMeasure(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedFalseNegativeRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedRecall(), 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 assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedTruePositiveRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedPrecision(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedTrueNegativeRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedFalsePositiveRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(1.0, evaluation0.kappa(), 0.01);\n assertNotNull(evaluation0);\n \n String string0 = evaluation0.toClassDetailsString(\"@relation\");\n assertFalse(instances1.equals((Object)instances0));\n assertEquals(\"@relation\\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((-2), TestInstances.NO_CLASS);\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\n assertEquals(0, testInstances0.getNumRelational());\n assertEquals(2, testInstances0.getNumClasses());\n assertEquals(0, testInstances0.getNumNumeric());\n assertEquals(0, testInstances0.getNumRelationalDate());\n assertEquals(2, testInstances0.getNumAttributes());\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\n assertEquals(0, testInstances0.getNumString());\n assertEquals((-1), testInstances0.getClassIndex());\n assertFalse(testInstances0.getNoClass());\n assertEquals(0, testInstances0.getNumRelationalString());\n assertEquals(0, testInstances0.getNumDate());\n assertEquals(2, testInstances0.getNumNominalValues());\n assertEquals(1, testInstances0.getNumNominal());\n assertEquals(0, testInstances0.getNumRelationalNumeric());\n assertEquals(\" \", testInstances0.getWordSeparators());\n assertEquals(\"Testdata\", testInstances0.getRelation());\n assertEquals(1, testInstances0.getClassType());\n assertEquals(20, testInstances0.getNumInstances());\n assertFalse(testInstances0.getMultiInstance());\n assertEquals(1, testInstances0.getNumRelationalNominal());\n assertEquals(1, testInstances0.getSeed());\n assertEquals(10, testInstances0.getNumInstancesRelational());\n assertEquals(20, instances1.numInstances());\n assertEquals(2, instances1.numAttributes());\n assertEquals(\"Testdata\", instances1.relationName());\n assertEquals(1, instances1.classIndex());\n assertEquals(2, instances1.numClasses());\n assertFalse(instances1.checkForStringAttributes());\n assertEquals(20.0, instances1.sumOfWeights(), 0.01);\n assertEquals(20, instances1.size());\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedFMeasure(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedFalseNegativeRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedRecall(), 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 assertFalse(evaluation0.getDiscardPredictions());\n assertEquals(0.0, evaluation0.correct(), 0.01);\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedTruePositiveRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedPrecision(), 0.01);\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedTrueNegativeRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\n assertEquals(Double.NaN, evaluation0.weightedFalsePositiveRate(), 0.01);\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\n assertEquals(1.0, evaluation0.kappa(), 0.01);\n assertNotNull(string0);\n assertNotSame(instances1, instances0);\n }","title":""},{"docid":"d23270f2f961ac32f1e42285e50e41e0","score":"0.5959071","text":"@Test(timeout = 4000)\n public void test28() throws Throwable {\n FileSystemHandling.shouldAllThrowIOExceptions();\n ArrayList<Locale.LanguageRange> arrayList0 = new ArrayList<Locale.LanguageRange>();\n LinkedList<Locale.LanguageRange> linkedList0 = new LinkedList<Locale.LanguageRange>();\n LinkedList<String> linkedList1 = new LinkedList<String>();\n Locale.filterTags((List<Locale.LanguageRange>) arrayList0, (Collection<String>) linkedList1);\n ArrayList<Locale.LanguageRange> arrayList1 = new ArrayList<Locale.LanguageRange>();\n List<String> list0 = Locale.filterTags((List<Locale.LanguageRange>) arrayList1, (Collection<String>) null);\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n Attribute attribute0 = new Attribute(\"\", list0, protectedProperties0);\n JRip jRip0 = new JRip();\n JRip jRip1 = new JRip();\n JRip.RipperRule jRip_RipperRule0 = jRip1.new RipperRule();\n jRip1.getCapabilities();\n jRip_RipperRule0.setConsequent(4);\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \"$Revision: 8181 $\");\n JRip.RipperRule jRip_RipperRule1 = jRip1.new RipperRule();\n jRip_RipperRule0.hasAntds();\n JRip.NominalAntd jRip_NominalAntd0 = jRip1.new NominalAntd(attribute0);\n ArrayList<Attribute> arrayList2 = new ArrayList<Attribute>();\n Instances instances0 = new Instances(\"integer\", arrayList2, 3);\n jRip_NominalAntd0.splitData(instances0, 0.0, 346.801769518576);\n jRip1.getOptions();\n jRip_RipperRule1.hasAntds();\n jRip_RipperRule0.grow(instances0);\n assertEquals(4.0, jRip_RipperRule0.getConsequent(), 0.01);\n }","title":""},{"docid":"79a87e110e03a92466919c608a21a033","score":"0.59567904","text":"@Test\n public void improveCostTest() {\n // TODO: test improveCost\n }","title":""},{"docid":"017a7cda383c1b7e584b3dffebc52b74","score":"0.5950229","text":"@Test(timeout = 4000)\n public void test26() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n \n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixSignificance0);\n assertNotNull(resultMatrixSignificance1);\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance1.getColCount());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance1.getRowCount());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n \n int[][] intArray0 = new int[2][9];\n int[] intArray1 = new int[5];\n intArray1[0] = 915;\n intArray1[1] = (-2430);\n intArray1[2] = 0;\n intArray1[3] = 0;\n intArray1[4] = 2;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[9];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 1;\n intArray2[1] = 2;\n intArray2[2] = 0;\n intArray2[3] = (-2430);\n intArray2[4] = 2;\n intArray2[5] = 2;\n intArray2[6] = 2;\n intArray2[7] = (-2430);\n intArray2[8] = 2;\n intArray0[1] = intArray2;\n resultMatrixSignificance0.setSummary(intArray0, intArray0);\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\n assertEquals(2, intArray0.length);\n }","title":""},{"docid":"8366702b50dc2d5a204c1084d16a0158","score":"0.59406155","text":"@Test\n public void testStep36GetPreviousInteractionsCount() {\n System.out.println(\"testStep36GetPreviousInteractionsCount\");\n assertEquals(PREVIOUS_INTERACTIONS_COUNT, yearStat.getPreviousInteractionsCount()); \n }","title":""},{"docid":"04ebe07f8af79a560dfa2e4e4a2012ad","score":"0.5930408","text":"@Test(timeout = 4000)\n public void test28() throws Throwable {\n FileSystemHandling.createFolder((EvoSuiteFile) null);\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"tm\\\"iK7~\");\n Evaluation evaluation0 = new Evaluation(instances0);\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\n ZeroR zeroR0 = new ZeroR();\n cVParameterSelection0.setClassifier(zeroR0);\n MultiClassClassifier multiClassClassifier0 = new MultiClassClassifier();\n Evaluation.main(testInstances0.DEFAULT_WORDS);\n evaluation0.KBRelativeInformation();\n Evaluation.makeOptionString(multiClassClassifier0, false);\n evaluation0.trueNegativeRate(1);\n }","title":""},{"docid":"66c040a261e8fe6271f1d4d4ae0a081d","score":"0.59078753","text":"@Test(timeout = 4000)\n public void test11() throws Throwable {\n JRip jRip0 = new JRip();\n jRip0.getTechnicalInformation();\n jRip0.getTechnicalInformation();\n AbstractClassifier.makeCopy(jRip0);\n jRip0.toString();\n AbstractClassifier.makeCopy(jRip0);\n jRip0.getUsePruning();\n jRip0.getMinNo();\n ArrayList<String> arrayList0 = new ArrayList<String>();\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n Attribute attribute0 = new Attribute(\"JRIP: No model built yet.\", arrayList0, protectedProperties0);\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n File file0 = serializedClassifier0.getModelFile();\n String string0 = \"]>An(V\\\"}\";\n MockPrintStream mockPrintStream0 = null;\n try {\n mockPrintStream0 = new MockPrintStream(file0, \"]>An(V\\\"}\");\n fail(\"Expecting exception: FileNotFoundException\");\n \n } catch(Throwable e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"org.evosuite.runtime.mock.java.io.MockFileOutputStream\", e);\n }\n }","title":""},{"docid":"32737fd821a7ee1c0e22b7998c7d0f3b","score":"0.5906231","text":"@Test\n public void testEntropy() {\n System.out.println(\"entropy\");\n MultivariateGaussianDistribution instance = new MultivariateGaussianDistribution(mu, Matrix.of(sigma));\n assertEquals(2.954971, instance.entropy(), 1E-6);\n }","title":""},{"docid":"f159db975bcb491ae265c9dc120e9601","score":"0.590065","text":"public static void main(String[] args) throws Exception {\n\t\t\n\t\tFile csvFile = new File(\"featureModel/busybox.dimacs.ca1.csv\");\n\t\tFile srcFile = new File(\"bugs/busybox/archival/tar.c\");\n\t\tList<List<String>> samplings = new ConstrainedOneDisabledOnewise().getSamples(srcFile, csvFile);\n\t\t\n\t\tfor (List<String> s : samplings){\n\t\t\t//System.out.println(tester.getNumberOfMacrosEnabled(s));\n\t\t\tSystem.out.println(s);\n\t\t}\n\t\t\n\t}","title":""},{"docid":"190f2d0b53cb17bebad57e2eb01efe51","score":"0.5895634","text":"private static void runTestCWE2() {\r\n}","title":""},{"docid":"6c3fb1ddcda3752cbba86399a15f0d5e","score":"0.58953816","text":"@Test(timeout = 4000)\n public void test25() throws Throwable {\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \"\");\n JRip jRip0 = new JRip();\n String[] stringArray0 = jRip0.getOptions();\n jRip0.setOptions(stringArray0);\n assertTrue(jRip0.getCheckErrorRate());\n assertEquals(1L, jRip0.getSeed());\n assertEquals(11, stringArray0.length);\n assertFalse(jRip0.getDebug());\n assertEquals(3, jRip0.getFolds());\n assertEquals(2, jRip0.getOptimizations());\n assertEquals(2.0, jRip0.getMinNo(), 0.01);\n assertTrue(jRip0.getUsePruning());\n }","title":""},{"docid":"78191ca5ac5a94ced151d147ba2ff1e0","score":"0.5888298","text":"private static void runTestCWE9() {\r\n}","title":""},{"docid":"41cd6357ea3d02530682a17c41ed4af4","score":"0.58703184","text":"protected void doTest2002082102() {\n }","title":""},{"docid":"dbfcf3cba7ca75a6483c014e391498ff","score":"0.58622473","text":"@Test(timeout = 4000)\n public void test08() throws Throwable {\n int int0 = 0;\n Evaluation.handleCostOption(\"\", 0);\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n EvoSuiteFile evoSuiteFile0 = new EvoSuiteFile(\"/home/ubuntu/evosuite_readability_gen/projects/107_weka\");\n byte[] byteArray0 = new byte[0];\n FileSystemHandling.appendDataToFile(evoSuiteFile0, byteArray0);\n Vector<NaiveBayesMultinomial> vector0 = new Vector<NaiveBayesMultinomial>();\n instances0.removeAll(vector0);\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n evaluation0.numInstances();\n CostSensitiveClassifier costSensitiveClassifier0 = new CostSensitiveClassifier();\n CostMatrix costMatrix0 = costSensitiveClassifier0.getCostMatrix();\n Evaluation evaluation1 = null;\n try {\n evaluation1 = new Evaluation(instances0, costMatrix0);\n fail(\"Expecting exception: Exception\");\n \n } catch(Throwable e) {\n //\n // Cost matrix not compatible with data!\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"3ecff3ad4c64450141e14eef05a89d23","score":"0.58610976","text":"@Test\n public void asdf(){\n target.solution(24);\n// target.solution(30);\n }","title":""},{"docid":"6b87b15f0a9111f0fb1c84db924385ca","score":"0.5859712","text":"private static void runTestCWE8() {\r\n}","title":""},{"docid":"d396a30294eb6002aef7678871dd4d41","score":"0.5858998","text":"protected void doTest2002082202() {\n }","title":""},{"docid":"8719b45acf894ee384c07d1dca2912a9","score":"0.58573234","text":"@Test\n public void improveImpressionTest() {\n // TODO: test improveImpression\n }","title":""},{"docid":"732420f45f1e1d21e7378abc06a98553","score":"0.58540046","text":"@Test(timeout = 4000)\n public void test158() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.m_StdDevWidth = 97;\n resultMatrixSignificance0.setMeanPrec((-766));\n int[] intArray0 = new int[8];\n intArray0[0] = 2;\n intArray0[1] = 2;\n intArray0[2] = 2;\n intArray0[3] = 2;\n intArray0[4] = (-766);\n intArray0[5] = 1;\n intArray0[6] = 2;\n intArray0[7] = 2;\n resultMatrixSignificance0.m_RankingWins = intArray0;\n resultMatrixSignificance0.clearRanking();\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixSignificance0);\n resultMatrixHTML0.setMeanWidth((-563));\n resultMatrixHTML0.m_MeanWidth = 1126;\n resultMatrixHTML0.m_PrintRowNames = false;\n resultMatrixHTML0.m_StdDevWidth = 0;\n resultMatrixSignificance0.toStringKey();\n resultMatrixHTML0.countWidthTipText();\n String[] stringArray0 = resultMatrixHTML0.getOptions();\n resultMatrixHTML0.m_RowNames = stringArray0;\n resultMatrixSignificance0.setPrintRowNames(false);\n resultMatrixSignificance0.getShowAverage();\n resultMatrixHTML0.printRowNamesTipText();\n resultMatrixHTML0.setRemoveFilterName(false);\n resultMatrixHTML0.toStringSummary();\n resultMatrixSignificance0.setSignificance(2, 0, 26);\n assertEquals(97, resultMatrixSignificance0.getStdDevWidth());\n }","title":""},{"docid":"ae771fafe50b1b99e0df4af6041ea7f2","score":"0.58532524","text":"@Test(timeout = 4000)\n public void test17() throws Throwable {\n FileSystemHandling.createFolder((EvoSuiteFile) null);\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"tm\\\"iK7~\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.m_Header = instances0;\n char[] charArray0 = new char[1];\n charArray0[0] = 'F';\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\n ZeroR zeroR0 = new ZeroR();\n cVParameterSelection0.setClassifier(zeroR0);\n MultiClassClassifier multiClassClassifier0 = new MultiClassClassifier();\n evaluation0.KBRelativeInformation();\n Evaluation.makeOptionString(multiClassClassifier0, true);\n Evaluation evaluation1 = new Evaluation(instances0);\n testInstances0.getData();\n Evaluation evaluation2 = new Evaluation(instances0);\n evaluation2.toCumulativeMarginDistributionString();\n evaluation0.meanAbsoluteError();\n Instance instance0 = null;\n try { \n Evaluation.handleCostOption(\".bsi\", 3);\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // Can't open file null.\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"ec485f8adb89cfd93e2108c670bd1781","score":"0.5852256","text":"@Test(timeout = 4000)\n public void test00() throws Throwable {\n GlobalInfoJavadoc globalInfoJavadoc0 = new GlobalInfoJavadoc();\n globalInfoJavadoc0.getRevision();\n globalInfoJavadoc0.setClassname(\"\\\"(ip\");\n boolean boolean0 = true;\n String[] stringArray0 = new String[4];\n stringArray0[0] = \"8034\";\n stringArray0[1] = \"\\\"(ip\";\n stringArray0[2] = \"globalInfo\";\n stringArray0[3] = \"8034\";\n Evaluation.main(stringArray0);\n globalInfoJavadoc0.generateHelp();\n try { \n Evaluation.handleCostOption(\"globalInfo\", (-1653));\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // Can't open file null.\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"d9491772898e494e42e84005b545e5d5","score":"0.58500475","text":"@Test(timeout = 4000)\n public void test149() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(31, 46);\n resultMatrixSignificance0.setShowAverage(true);\n resultMatrixSignificance0.padString(\"stddev-width\", 627);\n assertTrue(resultMatrixSignificance0.getShowAverage());\n }","title":""},{"docid":"e20d92a0b2c78e207843f140985c38be","score":"0.58482695","text":"@Test(timeout = 4000)\n public void test27() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n \n int int0 = resultMatrixSignificance0.getDefaultColNameWidth();\n assertEquals(0, int0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n \n resultMatrixSignificance0.setMeanPrec(1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n \n String string0 = resultMatrixSignificance0.toStringKey();\n assertEquals(\"Key:\\n(1) col0\\n\", string0);\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixSignificance0);\n assertNotNull(resultMatrixHTML0);\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(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(40, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(1, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixHTML0);\n assertNotNull(resultMatrixGnuPlot0);\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(0, ResultMatrix.SIGNIFICANCE_TIE);\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 assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(40, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(1, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n \n resultMatrixHTML0.assign(resultMatrixGnuPlot0);\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(0, ResultMatrix.SIGNIFICANCE_TIE);\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 assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(40, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(1, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n \n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML();\n assertNotNull(resultMatrixHTML1);\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML1.meanPrecTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML1.printRowNamesTipText());\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML1.rowNameWidthTipText());\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML1.countWidthTipText());\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\n assertEquals(0, resultMatrixHTML1.getCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML1.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML1.colNameWidthTipText());\n assertTrue(resultMatrixHTML1.getPrintRowNames());\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML1.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML1.getDisplayName());\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML1.getColCount());\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML1.showStdDevTipText());\n assertFalse(resultMatrixHTML1.getShowStdDev());\n assertFalse(resultMatrixHTML1.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML1.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML1.meanWidthTipText());\n assertFalse(resultMatrixHTML1.getPrintColNames());\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML1.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\n assertEquals(1, resultMatrixHTML1.getRowCount());\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML1.stdDevPrecTipText());\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML1.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\n \n int[] intArray0 = new int[8];\n intArray0[0] = 0;\n intArray0[1] = 0;\n intArray0[2] = 783;\n intArray0[3] = 0;\n intArray0[4] = (-2346);\n intArray0[5] = 0;\n intArray0[6] = 2;\n intArray0[7] = (-3604);\n resultMatrixHTML0.setColOrder(intArray0);\n assertFalse(resultMatrixHTML0.equals((Object)resultMatrixHTML1));\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(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(40, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(1, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertNotSame(resultMatrixHTML0, resultMatrixHTML1);\n assertArrayEquals(new int[] {0, 0, 783, 0, (-2346), 0, 2, (-3604)}, intArray0);\n assertEquals(8, intArray0.length);\n \n resultMatrixHTML1.setColName(1, \"-show-avg\");\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML1.meanPrecTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML1.printRowNamesTipText());\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML1.rowNameWidthTipText());\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML1.countWidthTipText());\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\n assertEquals(0, resultMatrixHTML1.getCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML1.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML1.colNameWidthTipText());\n assertTrue(resultMatrixHTML1.getPrintRowNames());\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML1.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML1.getDisplayName());\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML1.getColCount());\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML1.showStdDevTipText());\n assertFalse(resultMatrixHTML1.getShowStdDev());\n assertFalse(resultMatrixHTML1.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML1.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML1.meanWidthTipText());\n assertFalse(resultMatrixHTML1.getPrintColNames());\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML1.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\n assertEquals(1, resultMatrixHTML1.getRowCount());\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML1.stdDevPrecTipText());\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML1.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\n assertNotSame(resultMatrixHTML1, resultMatrixHTML0);\n \n resultMatrixHTML1.setColOrder(intArray0);\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML1.meanPrecTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML1.printRowNamesTipText());\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML1.rowNameWidthTipText());\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML1.countWidthTipText());\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\n assertEquals(0, resultMatrixHTML1.getCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML1.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML1.colNameWidthTipText());\n assertTrue(resultMatrixHTML1.getPrintRowNames());\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML1.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML1.getDisplayName());\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML1.getColCount());\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML1.showStdDevTipText());\n assertFalse(resultMatrixHTML1.getShowStdDev());\n assertFalse(resultMatrixHTML1.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML1.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML1.meanWidthTipText());\n assertFalse(resultMatrixHTML1.getPrintColNames());\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML1.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\n assertEquals(1, resultMatrixHTML1.getRowCount());\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML1.stdDevPrecTipText());\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML1.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\n assertNotSame(resultMatrixHTML1, resultMatrixHTML0);\n assertArrayEquals(new int[] {0, 0, 783, 0, (-2346), 0, 2, (-3604)}, intArray0);\n assertEquals(8, intArray0.length);\n }","title":""},{"docid":"b3e7702b390f84967b1cd1a90ead8026","score":"0.5846979","text":"@Test\n public void test58() throws Throwable {\n SeqClassifierFlags seqClassifierFlags0 = new SeqClassifierFlags();\n assertEquals(\"\", seqClassifierFlags0.toString());\n assertNotNull(seqClassifierFlags0);\n assertEquals(50, seqClassifierFlags0.SGD2QNhessSamples);\n assertTrue(seqClassifierFlags0.useSequences);\n assertFalse(seqClassifierFlags0.useBoundarySequences);\n assertFalse(seqClassifierFlags0.combo);\n assertFalse(seqClassifierFlags0.useGoodForNamesCpC);\n assertFalse(seqClassifierFlags0.casedDistSim);\n assertFalse(seqClassifierFlags0.useTypeySequences);\n assertFalse(seqClassifierFlags0.useNoisyNonNoisyFeature);\n assertFalse(seqClassifierFlags0.useTypeSeqs3);\n assertFalse(seqClassifierFlags0.useTypeSeqs2);\n assertFalse(seqClassifierFlags0.useCRFforUnsup);\n assertEquals(1.0E-4, seqClassifierFlags0.tolerance, 0.01D);\n assertFalse(seqClassifierFlags0.printWeights);\n assertFalse(seqClassifierFlags0.greekifyNGrams);\n assertFalse(seqClassifierFlags0.useTrainLexicon);\n assertFalse(seqClassifierFlags0.randomLopFeatureSplit);\n assertFalse(seqClassifierFlags0.useWEBFreqDict);\n assertFalse(seqClassifierFlags0.useDictleng);\n assertFalse(seqClassifierFlags0.useHk);\n assertFalse(seqClassifierFlags0.useNextRealWord);\n assertFalse(seqClassifierFlags0.useMUCFeatures);\n assertFalse(seqClassifierFlags0.useDict2);\n assertFalse(seqClassifierFlags0.testHessSamples);\n assertFalse(seqClassifierFlags0.removeBackgroundSingletonFeatures);\n assertFalse(seqClassifierFlags0.deleteBlankLines);\n assertFalse(seqClassifierFlags0.includeFullCRFInLOP);\n assertEquals(0.1, seqClassifierFlags0.dualDecompInitialStepSize, 0.01D);\n assertEquals((-1), seqClassifierFlags0.arbitraryInputLayerSize);\n assertFalse(seqClassifierFlags0.usePrediction2);\n assertFalse(seqClassifierFlags0.useParenMatching);\n assertEquals(0.0, seqClassifierFlags0.removeTopNPercent, 0.01D);\n assertFalse(seqClassifierFlags0.useWEB);\n assertFalse(seqClassifierFlags0.useDictCTB2);\n assertFalse(seqClassifierFlags0.useTopics);\n assertEquals(0, seqClassifierFlags0.dualDecompMaxItr);\n assertFalse(seqClassifierFlags0.groupByFeatureTemplate);\n assertEquals(0.1, seqClassifierFlags0.initialGain, 0.01D);\n assertEquals(0.0, seqClassifierFlags0.priorLambda, 0.01D);\n assertFalse(seqClassifierFlags0.bioSubmitOutput);\n assertFalse(seqClassifierFlags0.usePre);\n assertFalse(seqClassifierFlags0.transitionEdgeOnly);\n assertFalse(seqClassifierFlags0.useQuartic);\n assertFalse(seqClassifierFlags0.useDisjunctiveShapeInteraction);\n assertFalse(seqClassifierFlags0.strictlySecondOrder);\n assertFalse(seqClassifierFlags0.useFloat);\n assertFalse(seqClassifierFlags0.addBiasToEmbedding);\n assertFalse(seqClassifierFlags0.useASBCSuf1);\n assertFalse(seqClassifierFlags0.dropoutApprox);\n assertFalse(seqClassifierFlags0.useAs);\n assertFalse(seqClassifierFlags0.regularizeSoftmaxTieParam);\n assertFalse(seqClassifierFlags0.dump);\n assertFalse(seqClassifierFlags0.useSeenFeaturesOnly);\n assertFalse(seqClassifierFlags0.useNegHKDict2);\n assertFalse(seqClassifierFlags0.useHardGE);\n assertEquals(0.0, seqClassifierFlags0.l1reg, 0.01D);\n assertFalse(seqClassifierFlags0.useNegCTBDict2);\n assertFalse(seqClassifierFlags0.useRadical);\n assertFalse(seqClassifierFlags0.useChPos);\n assertFalse(seqClassifierFlags0.removeStrictGoodCoNLLDuplicates);\n assertFalse(seqClassifierFlags0.fakeDataset);\n assertFalse(seqClassifierFlags0.useNegCTBDict4);\n assertFalse(seqClassifierFlags0.useNegCTBDict3);\n assertFalse(seqClassifierFlags0.useSegmentation);\n assertFalse(seqClassifierFlags0.useNB);\n assertFalse(seqClassifierFlags0.useNegHKDict3);\n assertFalse(seqClassifierFlags0.useNegHKDict4);\n assertFalse(seqClassifierFlags0.intern2);\n assertFalse(seqClassifierFlags0.retainEntitySubclassification);\n assertFalse(seqClassifierFlags0.useHybrid);\n assertFalse(seqClassifierFlags0.useWordn);\n assertFalse(seqClassifierFlags0.readStdin);\n assertFalse(seqClassifierFlags0.dualDecompAlignment);\n assertFalse(seqClassifierFlags0.useShapeConjunctions);\n assertFalse(seqClassifierFlags0.useGazettes);\n assertEquals(25, seqClassifierFlags0.QNsize);\n assertFalse(seqClassifierFlags0.useLemmas);\n assertEquals(25, seqClassifierFlags0.QNsize2);\n assertFalse(seqClassifierFlags0.useUnicodeBlock);\n assertTrue(seqClassifierFlags0.learnCHBasedOnEN);\n assertFalse(seqClassifierFlags0.useBeginSent);\n assertFalse(seqClassifierFlags0.expandMidDot);\n assertFalse(seqClassifierFlags0.normalizeTerms);\n assertFalse(seqClassifierFlags0.evaluateBackground);\n assertFalse(seqClassifierFlags0.useSuf);\n assertFalse(seqClassifierFlags0.useEntityTypeSequences);\n assertEquals(0, seqClassifierFlags0.numTimesPruneFeatures);\n assertFalse(seqClassifierFlags0.useAcqPrior);\n assertFalse(seqClassifierFlags0.useRad2b);\n assertFalse(seqClassifierFlags0.usePhraseWordTags);\n assertEquals(0, seqClassifierFlags0.hybridCutoffIteration);\n assertEquals(10, seqClassifierFlags0.totalDataSlice);\n assertFalse(seqClassifierFlags0.subCWGaz);\n assertFalse(seqClassifierFlags0.dehyphenateNGrams);\n assertEquals(1, seqClassifierFlags0.endFold);\n assertFalse(seqClassifierFlags0.doAdaptation);\n assertTrue(seqClassifierFlags0.useQN);\n assertFalse(seqClassifierFlags0.useWideDisjunctive);\n assertFalse(seqClassifierFlags0.useNoisyLabel);\n assertFalse(seqClassifierFlags0.blockInitialize);\n assertEquals(0, seqClassifierFlags0.multiThreadGibbs);\n assertEquals(0.0, seqClassifierFlags0.dropoutRate, 0.01D);\n assertFalse(seqClassifierFlags0.useReverse);\n assertFalse(seqClassifierFlags0.useBagOfWords);\n assertEquals(10, seqClassifierFlags0.totalFeatureSlice);\n assertFalse(seqClassifierFlags0.tuneSGD);\n assertEquals((-1), seqClassifierFlags0.samplingSpeedUpThreshold);\n assertEquals(0.1, seqClassifierFlags0.gainSGD, 0.01D);\n assertFalse(seqClassifierFlags0.useSentenceNumber);\n assertFalse(seqClassifierFlags0.useOrdinal);\n assertFalse(seqClassifierFlags0.useAbbr1);\n assertFalse(seqClassifierFlags0.testVariance);\n assertEquals(100, seqClassifierFlags0.printClassifierParam);\n assertFalse(seqClassifierFlags0.useSymWordPairs);\n assertFalse(seqClassifierFlags0.prependEmbedding);\n assertEquals((-1), seqClassifierFlags0.maxNGramLeng);\n assertEquals(0.0, seqClassifierFlags0.alignmentPruneThreshold, 0.01D);\n assertFalse(seqClassifierFlags0.keepAllWhitespaces);\n assertFalse(seqClassifierFlags0.useOutDict2);\n assertFalse(seqClassifierFlags0.useLastRealWord);\n assertEquals(0.0, seqClassifierFlags0.pctSegmenterScale, 0.01D);\n assertFalse(seqClassifierFlags0.useNERPrior);\n assertTrue(seqClassifierFlags0.useHiddenLayer);\n assertFalse(seqClassifierFlags0.usePk);\n assertFalse(seqClassifierFlags0.useFREQ);\n assertFalse(seqClassifierFlags0.baseline);\n assertEquals((-1), seqClassifierFlags0.SGDPasses);\n assertEquals(1, seqClassifierFlags0.startFold);\n assertFalse(seqClassifierFlags0.normalize);\n assertEquals(1, seqClassifierFlags0.numFolds);\n assertFalse(seqClassifierFlags0.usePKChar2);\n assertEquals(0, seqClassifierFlags0.maxDocSize);\n assertTrue(seqClassifierFlags0.initViterbi);\n assertFalse(seqClassifierFlags0.usePrev);\n assertFalse(seqClassifierFlags0.useMoreTags);\n assertFalse(seqClassifierFlags0.useStochasticQN);\n assertFalse(seqClassifierFlags0.useOWLQN);\n assertFalse(seqClassifierFlags0.powerAlignProb);\n assertFalse(seqClassifierFlags0.suppressMidDotPostprocessing);\n assertFalse(seqClassifierFlags0.useNGrams);\n assertFalse(seqClassifierFlags0.useURLSequences);\n assertFalse(seqClassifierFlags0.restrictTransitionsTimit);\n assertFalse(seqClassifierFlags0.cacheNGrams);\n assertFalse(seqClassifierFlags0.noNeighborConstraints);\n assertFalse(seqClassifierFlags0.useWord4);\n assertFalse(seqClassifierFlags0.useWord3);\n assertFalse(seqClassifierFlags0.useWord2);\n assertFalse(seqClassifierFlags0.useScaledSGD);\n assertFalse(seqClassifierFlags0.noMidNGrams);\n assertFalse(seqClassifierFlags0.useWordPairs);\n assertFalse(seqClassifierFlags0.useSGDtoQN);\n assertFalse(seqClassifierFlags0.useIfInteger);\n assertFalse(seqClassifierFlags0.nonLinearCRF);\n assertFalse(seqClassifierFlags0.useLC);\n assertEquals(0, seqClassifierFlags0.numOfSlices);\n assertFalse(seqClassifierFlags0.useTitle);\n assertFalse(seqClassifierFlags0.useSum);\n assertEquals((-1), seqClassifierFlags0.wordShape);\n assertFalse(seqClassifierFlags0.normalizeTimex);\n assertFalse(seqClassifierFlags0.useKL);\n assertFalse(seqClassifierFlags0.useDictPK2);\n assertEquals(1, seqClassifierFlags0.kBest);\n assertFalse(seqClassifierFlags0.largeChSegFile);\n assertFalse(seqClassifierFlags0.useMoreGazFeatures);\n assertFalse(seqClassifierFlags0.useDictionaryConjunctions);\n assertEquals(1, seqClassifierFlags0.numTimesRemoveTopN);\n assertFalse(seqClassifierFlags0.useMinimalAbbr1);\n assertEquals(0.9, seqClassifierFlags0.selfTrainConfidenceThreshold, 0.01D);\n assertFalse(seqClassifierFlags0.usePosition);\n assertFalse(seqClassifierFlags0.useRule2);\n assertFalse(seqClassifierFlags0.useWordShapeGaz);\n assertFalse(seqClassifierFlags0.useWord1);\n assertFalse(seqClassifierFlags0.outputIterationsToFile);\n assertFalse(seqClassifierFlags0.softmaxOutputLayer);\n assertEquals(0, seqClassifierFlags0.multiThreadClassifier);\n assertFalse(seqClassifierFlags0.useVB);\n assertEquals(0.0, seqClassifierFlags0.softmaxTieLambda, 0.01D);\n assertFalse(seqClassifierFlags0.useCommonWordsFeature);\n assertFalse(seqClassifierFlags0.useMinimalAbbr);\n assertFalse(seqClassifierFlags0.useAdaGradFOBOS);\n assertFalse(seqClassifierFlags0.useUnicodeType4gram);\n assertFalse(seqClassifierFlags0.useLongSequences);\n assertFalse(seqClassifierFlags0.sighanPostProcessing);\n assertEquals(0, seqClassifierFlags0.numOfFeatureSlices);\n assertFalse(seqClassifierFlags0.useDisjunctive);\n assertFalse(seqClassifierFlags0.verboseMode);\n assertFalse(seqClassifierFlags0.useTypeSeqs);\n assertFalse(seqClassifierFlags0.useNPGovernor);\n assertFalse(seqClassifierFlags0.useEitherSideDisjunctive);\n assertFalse(seqClassifierFlags0.printXML);\n assertFalse(seqClassifierFlags0.splitOnHead);\n assertFalse(seqClassifierFlags0.useMoreAbbr);\n assertFalse(seqClassifierFlags0.useChunks);\n assertFalse(seqClassifierFlags0.useABSTR);\n assertFalse(seqClassifierFlags0.terminateOnEvalImprovement);\n assertFalse(seqClassifierFlags0.useDictionaryConjunctions3);\n assertEquals(0.1, seqClassifierFlags0.initRate, 0.01D);\n assertFalse(seqClassifierFlags0.ocrTrain);\n assertEquals(8, seqClassifierFlags0.maxAllowedChromaticSize);\n assertFalse(seqClassifierFlags0.useSymTags);\n assertEquals(1.0, seqClassifierFlags0.dropoutScale, 0.01D);\n assertFalse(seqClassifierFlags0.useNextSequences);\n assertFalse(seqClassifierFlags0.strictlyZeroethOrder);\n assertEquals((-1), seqClassifierFlags0.QNPasses);\n assertFalse(seqClassifierFlags0.printNR);\n assertFalse(seqClassifierFlags0.mergeTags);\n assertFalse(seqClassifierFlags0.useCorefFeatures);\n assertFalse(seqClassifierFlags0.useDisjShape);\n assertFalse(seqClassifierFlags0.evaluateTrain);\n assertEquals(1000, seqClassifierFlags0.wordSegBeamSize);\n assertEquals(1.0, seqClassifierFlags0.unsupDropoutScale, 0.01D);\n assertFalse(seqClassifierFlags0.use4Clique);\n assertEquals(30, seqClassifierFlags0.beamSize);\n assertFalse(seqClassifierFlags0.printFactorTable);\n assertFalse(seqClassifierFlags0.useSigmoid);\n assertFalse(seqClassifierFlags0.useNumberFeature);\n assertFalse(seqClassifierFlags0.groupByInput);\n assertTrue(seqClassifierFlags0.useMemoryEvaluator);\n assertFalse(seqClassifierFlags0.memoryThrift);\n assertFalse(seqClassifierFlags0.groupByHiddenUnit);\n assertTrue(seqClassifierFlags0.separateASCIIandRange);\n assertTrue(seqClassifierFlags0.applyNERPenalty);\n assertFalse(seqClassifierFlags0.printTrainLabels);\n assertFalse(seqClassifierFlags0.hardcodeSoftmaxOutputWeights);\n assertFalse(seqClassifierFlags0.useBerkeleyAlignerForViterbi);\n assertFalse(seqClassifierFlags0.lowercaseNGrams);\n assertFalse(seqClassifierFlags0.useASBCPre1);\n assertEquals(0.95, seqClassifierFlags0.adaDeltaRho, 0.01D);\n assertEquals(1, seqClassifierFlags0.selfTrainWindowSize);\n assertEquals(0.5, seqClassifierFlags0.alignmentDecodeThreshold, 0.01D);\n assertFalse(seqClassifierFlags0.useABSTRFreq);\n assertFalse(seqClassifierFlags0.dontExtendTaggy);\n assertTrue(seqClassifierFlags0.useDenero);\n assertTrue(seqClassifierFlags0.restrictLabels);\n assertTrue(seqClassifierFlags0.keepOBInMemory);\n assertFalse(seqClassifierFlags0.useChunkySequences);\n assertFalse(seqClassifierFlags0.useInPlaceSGD);\n assertFalse(seqClassifierFlags0.terminateOnAvgImprovement);\n assertEquals(1.0, seqClassifierFlags0.sigma, 0.01D);\n assertFalse(seqClassifierFlags0.useSemPrior);\n assertFalse(seqClassifierFlags0.numberEquivalenceDistSim);\n assertFalse(seqClassifierFlags0.useHuber);\n assertFalse(seqClassifierFlags0.strictlyThirdOrder);\n assertFalse(seqClassifierFlags0.strictlyFirstOrder);\n assertTrue(seqClassifierFlags0.useExternal);\n assertFalse(seqClassifierFlags0.weightByEntropy);\n assertFalse(seqClassifierFlags0.augmentedDateChars);\n assertFalse(seqClassifierFlags0.useSMD);\n assertFalse(seqClassifierFlags0.initWithNERPosterior);\n assertFalse(seqClassifierFlags0.useFeaturesCpC5gram);\n assertFalse(seqClassifierFlags0.announceObjectBankEntries);\n assertFalse(seqClassifierFlags0.useLemmaAsWord);\n assertFalse(seqClassifierFlags0.geDebug);\n assertFalse(seqClassifierFlags0.useGEforSup);\n assertFalse(seqClassifierFlags0.useUnicodeType5gram);\n assertEquals(0, seqClassifierFlags0.interimOutputFreq);\n assertEquals(100, seqClassifierFlags0.numSamples);\n assertFalse(seqClassifierFlags0.useANTE);\n assertFalse(seqClassifierFlags0.gradientDebug);\n assertFalse(seqClassifierFlags0.usePhraseWords);\n assertFalse(seqClassifierFlags0.verboseForTrueCasing);\n assertTrue(seqClassifierFlags0.useOutputLayer);\n assertTrue(seqClassifierFlags0.biAlignmentPriorIsPMI);\n assertFalse(seqClassifierFlags0.useBig5);\n assertFalse(seqClassifierFlags0.useYetMoreCpCShapes);\n assertFalse(seqClassifierFlags0.useFilter);\n assertFalse(seqClassifierFlags0.useAdaDelta);\n assertEquals(0, seqClassifierFlags0.featureCountThresh);\n assertFalse(seqClassifierFlags0.useUnicodeType);\n assertFalse(seqClassifierFlags0.estimateInitial);\n assertEquals((-1), seqClassifierFlags0.labelDictionaryCutoff);\n assertEquals(8, seqClassifierFlags0.distSimMaxBits);\n assertFalse(seqClassifierFlags0.pctSegmenterScaleByCRF);\n assertFalse(seqClassifierFlags0.useNextVB);\n assertFalse(seqClassifierFlags0.tieOutputLayer);\n assertEquals((-1), seqClassifierFlags0.numHiddenUnits);\n assertFalse(seqClassifierFlags0.saveFeatureIndexToDisk);\n assertFalse(seqClassifierFlags0.useGENIA);\n assertFalse(seqClassifierFlags0.useUniformPrior);\n assertFalse(seqClassifierFlags0.printFirstOrderProbs);\n assertEquals(1, seqClassifierFlags0.numStartLayers);\n assertFalse(seqClassifierFlags0.booleanFeatures);\n assertFalse(seqClassifierFlags0.useTOK);\n assertEquals(0, seqClassifierFlags0.maxRight);\n assertFalse(seqClassifierFlags0.useABGENE);\n assertFalse(seqClassifierFlags0.use2W);\n assertEquals(2, seqClassifierFlags0.maxLeft);\n assertEquals(10, seqClassifierFlags0.wideDisjunctionWidth);\n assertFalse(seqClassifierFlags0.useWordUTypeConjunctions3);\n assertFalse(seqClassifierFlags0.cleanGazette);\n assertTrue(seqClassifierFlags0.includeC2EViterbi);\n assertFalse(seqClassifierFlags0.secondOrderNonLinear);\n assertFalse(seqClassifierFlags0.useWordUTypeConjunctions2);\n assertFalse(seqClassifierFlags0.usePKSuf1);\n assertFalse(seqClassifierFlags0.alternateTraining);\n assertFalse(seqClassifierFlags0.useHKChar2);\n assertTrue(seqClassifierFlags0.useKnownLCWords);\n assertTrue(seqClassifierFlags0.useViterbi);\n assertEquals(Integer.MAX_VALUE, seqClassifierFlags0.printFeaturesUpto);\n assertFalse(seqClassifierFlags0.useFirstWord);\n assertFalse(seqClassifierFlags0.usePrevVB);\n assertFalse(seqClassifierFlags0.useEitherSideWord);\n assertFalse(seqClassifierFlags0.usePKPre1);\n assertFalse(seqClassifierFlags0.useRad1);\n assertTrue(seqClassifierFlags0.splitDocuments);\n assertFalse(seqClassifierFlags0.doFeatureDiscovery);\n assertFalse(seqClassifierFlags0.lowerNewgeneThreshold);\n assertEquals(1, seqClassifierFlags0.nerSlowerTimes);\n assertFalse(seqClassifierFlags0.useCWSWordFeaturesAll);\n assertFalse(seqClassifierFlags0.useNeighborNGrams);\n assertTrue(seqClassifierFlags0.useWord);\n assertFalse(seqClassifierFlags0.useTaggySequencesShapeInteraction);\n assertFalse(seqClassifierFlags0.iobTags);\n assertFalse(seqClassifierFlags0.useSequentialScanSampling);\n assertFalse(seqClassifierFlags0.useSGD);\n assertFalse(seqClassifierFlags0.useBilingualNERPrior);\n assertFalse(seqClassifierFlags0.useACR);\n assertFalse(seqClassifierFlags0.suppressTestDebug);\n assertFalse(seqClassifierFlags0.useAdaDiff);\n assertFalse(seqClassifierFlags0.pctSegmenterLenAdjust);\n assertFalse(seqClassifierFlags0.usePhraseFeatures);\n assertFalse(seqClassifierFlags0.useFeaturesCpC6gram);\n assertFalse(seqClassifierFlags0.dualDecompDebug);\n assertFalse(seqClassifierFlags0.useBigramInTwoClique);\n assertFalse(seqClassifierFlags0.testObjFunction);\n assertEquals(0, seqClassifierFlags0.featureCountThreshold);\n assertFalse(seqClassifierFlags0.useOccurrencePatterns);\n assertEquals(0, seqClassifierFlags0.maxQNItr);\n assertFalse(seqClassifierFlags0.factorInAlignmentProb);\n assertFalse(seqClassifierFlags0.useKBest);\n assertTrue(seqClassifierFlags0.averagePerceptron);\n assertEquals(15, seqClassifierFlags0.stochasticBatchSize);\n assertEquals(0.0, seqClassifierFlags0.annealingRate, 0.01D);\n assertFalse(seqClassifierFlags0.useRad2);\n assertEquals(0, seqClassifierFlags0.ocrFold);\n assertFalse(seqClassifierFlags0.backpropLopTraining);\n assertFalse(seqClassifierFlags0.useProtoFeatures);\n assertEquals((-1), seqClassifierFlags0.maxIterations);\n assertFalse(seqClassifierFlags0.useExtraTaggySequences);\n assertFalse(seqClassifierFlags0.useNegASBCDict2);\n assertFalse(seqClassifierFlags0.usePrediction);\n assertFalse(seqClassifierFlags0.useTaggySequences);\n assertFalse(seqClassifierFlags0.useWordShapeConjunctions2);\n assertFalse(seqClassifierFlags0.useWordShapeConjunctions3);\n assertEquals(3, seqClassifierFlags0.charHalfWindow);\n assertFalse(seqClassifierFlags0.useOnlySeenWeights);\n assertFalse(seqClassifierFlags0.useEntityTypes);\n assertFalse(seqClassifierFlags0.useLabelSource);\n assertFalse(seqClassifierFlags0.twoStage);\n assertTrue(seqClassifierFlags0.initWithPosterior);\n assertFalse(seqClassifierFlags0.useCWSWordFeatures);\n assertFalse(seqClassifierFlags0.useHeadGov);\n assertFalse(seqClassifierFlags0.useNegASBCDict3);\n assertEquals(0, seqClassifierFlags0.removeTopN);\n assertFalse(seqClassifierFlags0.useNegASBCDict4);\n assertFalse(seqClassifierFlags0.useRandomSeed);\n assertFalse(seqClassifierFlags0.groupByOutputClass);\n assertFalse(seqClassifierFlags0.powerAlignProbAsAddition);\n assertFalse(seqClassifierFlags0.useFeaturesC6gram);\n assertFalse(seqClassifierFlags0.conjoinShapeNGrams);\n assertFalse(seqClassifierFlags0.factorInBiEdgePotential);\n assertFalse(seqClassifierFlags0.strictGoodCoNLL);\n assertFalse(seqClassifierFlags0.doGibbs);\n assertEquals(0, seqClassifierFlags0.scaledSGDMethod);\n assertFalse(seqClassifierFlags0.useCTBChar2);\n assertFalse(seqClassifierFlags0.useFeaturesC5gram);\n assertEquals(1.0, seqClassifierFlags0.lambdaCH, 0.01D);\n assertFalse(seqClassifierFlags0.perceptronDebug);\n assertFalse(seqClassifierFlags0.useShapeStrings3);\n assertFalse(seqClassifierFlags0.useShapeStrings1);\n assertFalse(seqClassifierFlags0.useWordTag);\n assertFalse(seqClassifierFlags0.matchNERIncentive);\n assertFalse(seqClassifierFlags0.useShapeStrings5);\n assertFalse(seqClassifierFlags0.useWordnetFeatures);\n assertFalse(seqClassifierFlags0.useShapeStrings4);\n assertEquals(0.001, seqClassifierFlags0.adaGradEps, 0.01D);\n assertFalse(seqClassifierFlags0.useShapeStrings);\n assertEquals(1.0, seqClassifierFlags0.randomizedRatio, 0.01D);\n assertFalse(seqClassifierFlags0.learnENBasedOnCH);\n assertFalse(seqClassifierFlags0.checkNameList);\n assertFalse(seqClassifierFlags0.useYear);\n assertEquals(0.0, seqClassifierFlags0.priorAlpha, 0.01D);\n assertFalse(seqClassifierFlags0.useAbbr);\n assertFalse(seqClassifierFlags0.appendLC);\n assertFalse(seqClassifierFlags0.useObservedFeaturesOnly);\n assertFalse(seqClassifierFlags0.useEmbedding);\n assertFalse(seqClassifierFlags0.useNegDict2);\n assertFalse(seqClassifierFlags0.useEntityRule);\n assertFalse(seqClassifierFlags0.randomLopWeights);\n assertEquals(0, seqClassifierFlags0.nerSkipFirstK);\n assertFalse(seqClassifierFlags0.noEdgeFeature);\n assertFalse(seqClassifierFlags0.keepEnglishWhitespaces);\n assertEquals(1, seqClassifierFlags0.numLopExpert);\n assertFalse(seqClassifierFlags0.useCTBPre1);\n assertFalse(seqClassifierFlags0.useASBCChar2);\n assertFalse(seqClassifierFlags0.checkGradient);\n assertFalse(seqClassifierFlags0.useTags);\n assertFalse(seqClassifierFlags0.useNegDict3);\n assertFalse(seqClassifierFlags0.sloppyGazette);\n assertFalse(seqClassifierFlags0.useNegDict4);\n assertFalse(seqClassifierFlags0.skipOutputRegularization);\n assertFalse(seqClassifierFlags0.useGenericFeatures);\n assertEquals(1, seqClassifierFlags0.selfTrainIterations);\n assertEquals(1, seqClassifierFlags0.multiThreadPerceptron);\n assertFalse(seqClassifierFlags0.keepEmptySentences);\n assertFalse(seqClassifierFlags0.sparseOutputLayer);\n assertFalse(seqClassifierFlags0.useHKSuf1);\n assertEquals(0.01, seqClassifierFlags0.epsilon, 0.01D);\n assertFalse(seqClassifierFlags0.useGazettePhrases);\n assertFalse(seqClassifierFlags0.useMSRChar2);\n assertFalse(seqClassifierFlags0.printLabelValue);\n assertFalse(seqClassifierFlags0.useNERPriorBIO);\n assertEquals(0, seqClassifierFlags0.evaluateIters);\n assertFalse(seqClassifierFlags0.lazyUpdate);\n assertEquals(1, seqClassifierFlags0.CRForder);\n assertFalse(seqClassifierFlags0.useDictHK2);\n assertFalse(seqClassifierFlags0.useABSTRFreqDict);\n assertFalse(seqClassifierFlags0.purgeDatasets);\n assertFalse(seqClassifierFlags0.timitDatum);\n assertFalse(seqClassifierFlags0.addCapitalFeatures);\n assertEquals(0.0, seqClassifierFlags0.featureWeightThreshold, 0.01D);\n assertFalse(seqClassifierFlags0.makeConsistent);\n assertFalse(seqClassifierFlags0.useFeaturesC4gram);\n assertFalse(seqClassifierFlags0.useDictASBC2);\n assertEquals(2, seqClassifierFlags0.CRFwindow);\n assertFalse(seqClassifierFlags0.doFE);\n assertFalse(seqClassifierFlags0.useFeaturesCpC4gram);\n assertFalse(seqClassifierFlags0.useClassFeature);\n assertFalse(seqClassifierFlags0.useMsr);\n assertFalse(seqClassifierFlags0.useReverseAffix);\n assertEquals((-1), seqClassifierFlags0.purgeFeatures);\n assertFalse(seqClassifierFlags0.useIsURL);\n assertFalse(seqClassifierFlags0.useIsDateRange);\n assertEquals(0.1, seqClassifierFlags0.dualDecompInitialStepSizeAlignment, 0.01D);\n assertEquals(Double.POSITIVE_INFINITY, seqClassifierFlags0.searchGraphPrune, 0.01D);\n assertFalse(seqClassifierFlags0.usePrevSequences);\n assertFalse(seqClassifierFlags0.useGazFeatures);\n assertFalse(seqClassifierFlags0.intern);\n assertFalse(seqClassifierFlags0.useMidDotShape);\n assertFalse(seqClassifierFlags0.selfTest);\n assertFalse(seqClassifierFlags0.printProbs);\n assertEquals(0, seqClassifierFlags0.startEvaluateIters);\n assertTrue(seqClassifierFlags0.useCWSFeatures);\n assertFalse(seqClassifierFlags0.useCWSWordFeaturesBigram);\n assertEquals(1, seqClassifierFlags0.multiThreadGrad);\n assertFalse(seqClassifierFlags0.useRobustQN);\n assertTrue(seqClassifierFlags0.useInternal);\n assertFalse(seqClassifierFlags0.useDualDecomp);\n assertEquals(1, seqClassifierFlags0.terminateOnEvalImprovementNumOfEpoch);\n assertFalse(seqClassifierFlags0.useNegPKDict3);\n assertEquals(1.0, seqClassifierFlags0.alignDDAlpha, 0.01D);\n assertFalse(seqClassifierFlags0.useNegPKDict4);\n assertFalse(seqClassifierFlags0.dampDDStepSizeWithAlignmentProb);\n assertEquals(1, seqClassifierFlags0.featureThreshold);\n assertFalse(seqClassifierFlags0.useRule);\n assertFalse(seqClassifierFlags0.useNPHead);\n assertFalse(seqClassifierFlags0.useNegPKDict2);\n assertFalse(seqClassifierFlags0.usePhraseWordSpecialTags);\n assertEquals(0.0, seqClassifierFlags0.featureDiffThresh, 0.01D);\n assertEquals(1, seqClassifierFlags0.numDatasetsPerFile);\n assertFalse(seqClassifierFlags0.useBerkeleyCompetitivePosterior);\n assertFalse(seqClassifierFlags0.useObservedSequencesOnly);\n assertFalse(seqClassifierFlags0.useAltGazFeatures);\n assertFalse(seqClassifierFlags0.usePrevNextLemmas);\n assertFalse(seqClassifierFlags0.useChromaticSampling);\n assertFalse(seqClassifierFlags0.justify);\n assertFalse(seqClassifierFlags0.useCTBSuf1);\n assertEquals(1, seqClassifierFlags0.numRuns);\n assertFalse(seqClassifierFlags0.dualDecompNotBIO);\n assertEquals(0.0, seqClassifierFlags0.newgeneThreshold, 0.01D);\n assertFalse(seqClassifierFlags0.useDistSim);\n assertFalse(seqClassifierFlags0.useNext);\n assertFalse(seqClassifierFlags0.useUnknown);\n assertFalse(seqClassifierFlags0.iobWrapper);\n assertFalse(seqClassifierFlags0.useHKPre1);\n assertEquals(1, seqClassifierFlags0.bisequencePriorType);\n assertEquals(1.0, seqClassifierFlags0.adaptSigma, 0.01D);\n assertEquals(1.0, seqClassifierFlags0.lambdaEN, 0.01D);\n assertEquals((-1), seqClassifierFlags0.tuneSampleSize);\n assertEquals(4, seqClassifierFlags0.disjunctionWidth);\n \n String string0 = JSONObject.numberToString((Number) 0.95);\n assertNotNull(string0);\n assertEquals(\"0.95\", string0);\n \n JSONObject jSONObject0 = null;\n try {\n jSONObject0 = new JSONObject((String) null);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }","title":""},{"docid":"15d102011712f47864c431823db9db6e","score":"0.58432657","text":"private static void runTestCWE6() {\r\n}","title":""},{"docid":"a86bd50bed03457ba46fb2b96425daaa","score":"0.5837373","text":"@Test(timeout = 4000)\n public void test23() throws Throwable {\n JRip jRip0 = new JRip();\n jRip0.toString();\n Attribute attribute0 = new Attribute(\"{\", 2296);\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\n double[] doubleArray0 = new double[4];\n doubleArray0[0] = (double) 1;\n doubleArray0[1] = (double) 4;\n doubleArray0[2] = 559.9;\n doubleArray0[3] = (double) 2;\n SparseInstance sparseInstance0 = new SparseInstance(559.9, doubleArray0);\n jRip_NominalAntd0.covers(sparseInstance0);\n jRip_NominalAntd0.getAttrValue();\n Attribute attribute1 = jRip_NominalAntd0.getAttr();\n FileSystemHandling.shouldAllThrowIOExceptions();\n attribute1.setWeight(0.0);\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\n jRip_RipperRule0.setConsequent((-945.575));\n JRip jRip1 = new JRip();\n JRip.RipperRule jRip_RipperRule1 = jRip1.new RipperRule();\n jRip_RipperRule0.hasAntds();\n jRip_RipperRule0.covers(sparseInstance0);\n assertEquals((-945.575), jRip_RipperRule0.getConsequent(), 0.01);\n \n jRip_NominalAntd0.getCover();\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute1);\n jRip_NumericAntd0.copy();\n boolean boolean0 = jRip_NumericAntd0.covers(sparseInstance0);\n assertTrue(boolean0);\n }","title":""},{"docid":"8b32732975c9fa518af156356bd3793e","score":"0.58370423","text":"@Test(timeout = 4000)\n public void test050() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixSignificance0);\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n \n resultMatrixSignificance0.m_RowNameWidth = 2;\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n \n resultMatrixSignificance0.LOSS_STRING = \"mean-width\";\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n \n resultMatrixSignificance0.setCountWidth((-9));\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n \n String string0 = resultMatrixSignificance0.toStringMatrix();\n assertEquals(\"Da (1)\\n--------------------\\nro \\n\", string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(string0);\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n \n resultMatrixSignificance0.setPrintRowNames(false);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n \n String string1 = resultMatrixSignificance0.enumerateRowNamesTipText();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", string1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(string1.equals((Object)string0));\n assertNotNull(string1);\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n }","title":""},{"docid":"629b3174174569c5a4cba37d18168b56","score":"0.5836263","text":"@Test(timeout = 4000)\n public void test041() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixSignificance0);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n \n int[] intArray0 = new int[4];\n intArray0[0] = 0;\n intArray0[1] = 0;\n intArray0[2] = 0;\n intArray0[3] = 0;\n int[] intArray1 = new int[7];\n assertFalse(intArray1.equals((Object)intArray0));\n \n intArray1[0] = 1;\n intArray1[2] = 2;\n intArray1[4] = 0;\n intArray1[5] = 1;\n intArray0[3] = 2;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n \n String[] stringArray0 = new String[2];\n stringArray0[0] = \"\";\n stringArray0[1] = \" \";\n resultMatrixGnuPlot0.m_ColNames = stringArray0;\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n \n resultMatrixGnuPlot0.setRowName(0, \"\");\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixCSV0);\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\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.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n \n int[] intArray2 = new int[1];\n assertFalse(intArray2.equals((Object)intArray0));\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = (-358);\n resultMatrixCSV0.setRowOrder(intArray2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(intArray2.equals((Object)intArray0));\n assertFalse(intArray2.equals((Object)intArray1));\n assertNotSame(intArray2, intArray0);\n assertNotSame(intArray2, intArray1);\n assertEquals(1, intArray2.length);\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\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.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertArrayEquals(new int[] {(-358)}, intArray2);\n \n String string0 = resultMatrixCSV0.globalInfo();\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(string0);\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\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.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n \n boolean boolean0 = resultMatrixGnuPlot0.getRowHidden(2);\n assertFalse(boolean0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n \n boolean boolean1 = resultMatrixSignificance0.isStdDev(1);\n assertFalse(boolean1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertTrue(boolean1 == boolean0);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n }","title":""},{"docid":"271c0d4f22298072283217038fd5e0ab","score":"0.5835428","text":"@Test(timeout = 4000)\n public void test26() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"tm\\\"iK7~\");\n Evaluation evaluation0 = new Evaluation(instances0);\n FileSystemHandling fileSystemHandling0 = new FileSystemHandling();\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\n ZeroR zeroR0 = new ZeroR();\n MultiClassClassifier multiClassClassifier0 = new MultiClassClassifier();\n Evaluation.main(testInstances0.DEFAULT_WORDS);\n evaluation0.KBRelativeInformation();\n Evaluation.makeOptionString(multiClassClassifier0, true);\n FilteredClusterer filteredClusterer0 = new FilteredClusterer();\n evaluation0.toClassDetailsString();\n // Undeclared exception!\n try { \n evaluation0.fMeasure(2);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 2\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"33a6bd2355d02767615fde7e7d4c8946","score":"0.58326256","text":"@Test\n\tpublic void capTest31() {\n\t\tassertTrue(JunitTester.canCaptureTest(yellowKingBoard, 4, 0));\n\t}","title":""},{"docid":"ee73cb91df29435fab1313bb7a448295","score":"0.582313","text":"@Test(timeout = 4000)\n public void test054() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixSignificance0);\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(2, 0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixPlainText0);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n \n resultMatrixPlainText0.clearSummary();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(2, 0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\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 assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\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.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot();\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n assertNotNull(resultMatrixGnuPlot1);\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n \n resultMatrixGnuPlot1.setRowName(3, (String) null);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(1, 0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\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.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n \n int[] intArray0 = new int[5];\n intArray0[0] = 1;\n intArray0[1] = 0;\n intArray0[2] = (-358);\n intArray0[3] = 0;\n intArray0[4] = 1;\n resultMatrixCSV0.setRowOrder(intArray0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(5, intArray0.length);\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\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.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertArrayEquals(new int[] {1, 0, (-358), 0, 1}, intArray0);\n \n String string0 = resultMatrixCSV0.globalInfo();\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(string0);\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\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.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n \n boolean boolean0 = resultMatrixGnuPlot0.getRowHidden(0);\n assertFalse(boolean0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\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 assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\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.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n }","title":""},{"docid":"d02f338502a675ab2ec0ee30aefb6aa6","score":"0.5821382","text":"private static void runTestCWE5() {\r\n}","title":""},{"docid":"5fdd8dcd73346d27c355efb362e795a9","score":"0.58207947","text":"private static void runTestCWE4() {\r\n}","title":""},{"docid":"82bc74e3f934d03f718e41fb80e76788","score":"0.5818756","text":"@Test(timeout = 4000)\n public void test139() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\n int[][] intArray0 = new int[3][2];\n resultMatrixSignificance0.m_ShowStdDev = false;\n resultMatrixSignificance0.m_NonSigWins = intArray0;\n int[] intArray1 = new int[4];\n intArray1[0] = 0;\n intArray1[1] = 0;\n intArray1[2] = 0;\n intArray1[3] = 0;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[7];\n intArray2[0] = 1;\n intArray2[1] = 1;\n intArray2[2] = 2;\n intArray2[6] = 2;\n intArray2[4] = 0;\n resultMatrixSignificance0.getRowName(2138);\n intArray2[5] = 1;\n intArray2[6] = 2;\n intArray0[1] = intArray2;\n int[] intArray3 = new int[6];\n intArray3[1] = 0;\n intArray3[2] = 0;\n intArray3[3] = 0;\n intArray3[4] = 1;\n intArray0[2] = intArray3;\n resultMatrixSignificance0.setSummary(intArray0, intArray0);\n resultMatrixSignificance0.setPrintRowNames(false);\n resultMatrixSignificance0.getDisplayName();\n boolean boolean0 = resultMatrixSignificance0.isSignificance(3);\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(boolean0);\n }","title":""},{"docid":"78701295ffbbdc8b3b074f2b0de7f434","score":"0.5816353","text":"@Test(timeout = 4000)\n public void test178() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.m_RowNameWidth = 2;\n resultMatrixSignificance0.LOSS_STRING = \"mean-width\";\n resultMatrixSignificance0.setCountWidth(0);\n resultMatrixSignificance0.setStdDevPrec(0);\n resultMatrixSignificance0.addHeader(\"\", \"\");\n assertEquals(0, resultMatrixSignificance0.getStdDevPrec());\n }","title":""},{"docid":"7354252840c6b234317288afa3e83e04","score":"0.5813751","text":"@Test(timeout = 4000)\n public void test30() throws Throwable {\n FileSystemHandling.shouldAllThrowIOExceptions();\n ArrayList<Locale.LanguageRange> arrayList0 = new ArrayList<Locale.LanguageRange>();\n LinkedList<Locale.LanguageRange> linkedList0 = new LinkedList<Locale.LanguageRange>();\n LinkedList<String> linkedList1 = new LinkedList<String>();\n Locale.filterTags((List<Locale.LanguageRange>) arrayList0, (Collection<String>) linkedList1);\n ArrayList<Locale.LanguageRange> arrayList1 = new ArrayList<Locale.LanguageRange>();\n List<String> list0 = Locale.filterTags((List<Locale.LanguageRange>) arrayList1, (Collection<String>) null);\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n Attribute attribute0 = new Attribute(\"\", list0, protectedProperties0);\n JRip jRip0 = new JRip();\n JRip jRip1 = new JRip();\n JRip.RipperRule jRip_RipperRule0 = jRip1.new RipperRule();\n jRip1.getCapabilities();\n jRip_RipperRule0.setConsequent(4);\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \"$Revision: 8181 $\");\n JRip.RipperRule jRip_RipperRule1 = jRip1.new RipperRule();\n jRip_RipperRule0.hasAntds();\n assertEquals(4.0, jRip_RipperRule0.getConsequent(), 0.01);\n \n JRip.NominalAntd jRip_NominalAntd0 = jRip1.new NominalAntd(attribute0);\n ArrayList<Attribute> arrayList2 = new ArrayList<Attribute>();\n Instances instances0 = new Instances(\"integer\", arrayList2, 3);\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute0);\n jRip_NumericAntd0.splitData(instances0, 3, (-917.2587814));\n assertEquals(Double.NaN, jRip_NumericAntd0.getSplitPoint(), 0.01);\n }","title":""},{"docid":"ed72b57be874d28fc87a7941161036d9","score":"0.581331","text":"public void testScenario2() {\n \n \n // Create data table to display to overview report\n // define success criteria\n// Criteria outgo = new FinancialOutGo();\n \n \n // Need to determine core data to return\n \n // Determine total debt\n \n // Determine current monthly outgo or split out to the day\n \n // Need to collect data points. \n \n // Determines daily data points by collected data. For example, If only the \n // the first and last day of a month. It would stand to reason that \n // the progression of the values is linear. \n \n // Create mechanism to collect data\n \n // Nice future spot for external integrations\n \n // Need to indicate Pass / Fail on progress\n \n // If Fail Identify possible solutions : increase income, decrease spending\n \n // What is the cost to get caught up with being aligned with progressing \n // to a successfull goal achievement. \n \n // Good indicator for Gap in timing or execution of plan\n \n \n }","title":""},{"docid":"afa1c7bb9fba4037c720ffb0e08eb031","score":"0.5810754","text":"protected void doTest2002082101() {\n }","title":""},{"docid":"401bfb7eba37ca44e7a6856242dfd44d","score":"0.58076984","text":"@Test(timeout = 4000)\n public void test20() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n \n int int0 = resultMatrixSignificance0.getDefaultRowNameWidth();\n assertEquals(40, int0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n \n String string0 = resultMatrixSignificance0.doubleToString(0.0, 0);\n assertEquals(\"0.\", string0);\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\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 assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n \n String string1 = resultMatrixGnuPlot0.toStringRanking();\n assertEquals(\"-ranking data not set-\", string1);\n assertNotNull(string1);\n assertFalse(string1.equals((Object)string0));\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n \n int[] intArray0 = new int[2];\n intArray0[0] = 1;\n resultMatrixGnuPlot0.setRowNameWidth((-399));\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n \n int int1 = resultMatrixGnuPlot0.getStdDevPrec();\n assertEquals(2, int1);\n assertFalse(int1 == int0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n }","title":""},{"docid":"08620d3bb5f5bda8a66d9fb8206e0ad6","score":"0.58048075","text":"@Test(timeout = 4000)\n public void test113() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n \n int[][] intArray0 = new int[3][2];\n int[] intArray1 = new int[4];\n intArray1[0] = 0;\n intArray1[1] = 0;\n intArray1[2] = 0;\n intArray1[3] = 0;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[7];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 1;\n intArray2[1] = 1;\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(0, 0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n \n String string0 = resultMatrixHTML0.toStringKey();\n assertEquals(\"<table border=\\\"1\\\" cellpadding=\\\"3\\\" cellspacing=\\\"0\\\">\\n <tr><td colspan=\\\"2\\\"><b>Key</b></td></tr>\\n</table>\\n\", string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(string0);\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n \n double double0 = resultMatrixHTML0.getAverage(4);\n assertEquals(0.0, double0, 0.01);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n \n int int0 = resultMatrixSignificance0.getColNameWidth();\n assertEquals(0, int0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n \n boolean boolean0 = resultMatrixHTML0.getColHidden((-794));\n assertFalse(boolean0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n \n ResultMatrixCSV resultMatrixCSV0 = null;\n try {\n resultMatrixCSV0 = new ResultMatrixCSV(1, (-3087));\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 }","title":""},{"docid":"70def4ca57bcb2db9400b4ca2e71db51","score":"0.5800455","text":"@Test(timeout = 4000)\n public void test09() throws Throwable {\n FileSystemHandling.createFolder((EvoSuiteFile) null);\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"tm\\\"iK7~\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.m_Header = instances0;\n VotedPerceptron votedPerceptron0 = new VotedPerceptron();\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\n cVParameterSelection0.setClassifier(votedPerceptron0);\n Evaluation.makeOptionString(votedPerceptron0, false);\n Evaluation evaluation1 = new Evaluation(instances0);\n evaluation1.getHeader();\n Evaluation evaluation2 = new Evaluation(instances0);\n String string0 = evaluation2.toMatrixString();\n assertEquals(\"=== Confusion Matrix ===\\n\\n a b <-- classified as\\n 0 0 | a = class1\\n 0 0 | b = class2\\n\", string0);\n \n double double0 = evaluation1.meanAbsoluteError();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation1.SFEntropyGain(), 0.01);\n }","title":""},{"docid":"c85b65a0fd4a9438d698cbc5ccde2de0","score":"0.57985675","text":"@Test(timeout = 4000)\n public void test046() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixSignificance0);\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n \n int[][] intArray0 = new int[3][2];\n resultMatrixSignificance0.m_NonSigWins = intArray0;\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n \n int[] intArray1 = new int[4];\n intArray1[0] = 0;\n intArray1[1] = 0;\n intArray1[2] = 0;\n intArray1[3] = 0;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[7];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 1;\n intArray2[1] = 1;\n intArray2[2] = 2;\n intArray2[3] = 2;\n intArray2[4] = 0;\n String string0 = resultMatrixSignificance0.getRowName(2138);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNull(string0);\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n \n intArray2[6] = 2;\n intArray0[1] = intArray2;\n int[] intArray3 = new int[6];\n assertFalse(intArray3.equals((Object)intArray1));\n assertFalse(intArray3.equals((Object)intArray2));\n \n intArray3[0] = 2;\n intArray3[1] = 0;\n intArray3[2] = 0;\n intArray3[3] = 0;\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixLatex0);\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\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 \n resultMatrixLatex0.setStdDev(1, (-2032), 4.8);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\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 }","title":""},{"docid":"9756b5db0f629edcae3f303be2fbb581","score":"0.57952875","text":"@Test(timeout = 4000)\n public void test00() throws Throwable {\n JRip jRip0 = new JRip();\n LinkedList<Locale.LanguageRange> linkedList0 = new LinkedList<Locale.LanguageRange>();\n Environment environment0 = new Environment();\n Set<String> set0 = environment0.getVariableNames();\n List<String> list0 = Locale.filterTags((List<Locale.LanguageRange>) linkedList0, (Collection<String>) set0);\n Locale.FilteringMode locale_FilteringMode0 = Locale.FilteringMode.REJECT_EXTENDED_RANGES;\n List<String> list1 = Locale.filterTags((List<Locale.LanguageRange>) linkedList0, (Collection<String>) list0, locale_FilteringMode0);\n Attribute attribute0 = new Attribute(\"#w#-6'qw,\", list1, 0);\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute0);\n double double0 = jRip_NumericAntd0.getSplitPoint();\n assertEquals(Double.NaN, jRip_NumericAntd0.getAttrValue(), 0.01);\n assertEquals(Double.NaN, jRip_NumericAntd0.getCover(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n assertFalse(jRip0.getDebug());\n assertTrue(jRip0.getCheckErrorRate());\n assertTrue(jRip0.getUsePruning());\n assertEquals(2.0, jRip0.getMinNo(), 0.01);\n assertEquals(1L, jRip0.getSeed());\n assertEquals(3, jRip0.getFolds());\n assertEquals(Double.NaN, jRip_NumericAntd0.getAccuRate(), 0.01);\n assertEquals(Double.NaN, jRip_NumericAntd0.getAccu(), 0.01);\n assertEquals(0.0, jRip_NumericAntd0.getMaxInfoGain(), 0.01);\n assertEquals(2, jRip0.getOptimizations());\n }","title":""},{"docid":"113ddbd5c9c3c8256fd34d7eb5a259fb","score":"0.579463","text":"@Test(timeout = 4000)\n public void test03() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.toString();\n discretize0.useBinNumbersTipText();\n discretize0.setBins(2928);\n String[] stringArray0 = new String[4];\n stringArray0[0] = \"Use bin numbers (eg BXofY) rather than ranges for for discretized attributes\";\n stringArray0[1] = \"Use bin numbers (eg BXofY) rather than ranges for for discretized attributes\";\n stringArray0[2] = \"weka.filters.unsupervised.attribute.Discretize\";\n stringArray0[3] = \"Ur\";\n discretize0.setOptions(stringArray0);\n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning((-2100));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Instances\", e);\n }\n }","title":""},{"docid":"bda057290628cb35827533acc71fc6e6","score":"0.57937634","text":"@Test(timeout = 4000)\n public void test029() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n \n int[][] intArray0 = new int[3][2];\n resultMatrixSignificance0.m_NonSigWins = intArray0;\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n \n int[] intArray1 = new int[4];\n intArray1[0] = 0;\n intArray1[1] = 0;\n intArray1[2] = 0;\n intArray1[3] = 0;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[7];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 1;\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(0, 2);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixHTML0);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertEquals(2, resultMatrixHTML0.getRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n \n resultMatrixSignificance0.setColNameWidth(2);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getColNameWidth());\n \n String string0 = resultMatrixHTML0.getSummaryTitle(3);\n assertEquals(\"d\", string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(string0);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertEquals(2, resultMatrixHTML0.getRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixLatex0);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertEquals(2, resultMatrixHTML0.getRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\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(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\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.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n \n resultMatrixLatex0.setRemoveFilterName(false);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertEquals(2, resultMatrixHTML0.getRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\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(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\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.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n \n resultMatrixHTML0.setRowHidden(2679, true);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertEquals(2, resultMatrixHTML0.getRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n \n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n assertNotNull(resultMatrixSignificance1);\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance1.getColCount());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance1.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n \n resultMatrixSignificance1.assign(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n assertNotSame(resultMatrixSignificance1, resultMatrixSignificance0);\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertEquals(0, resultMatrixSignificance1.getColCount());\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertEquals(2, resultMatrixSignificance1.getVisibleRowCount());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertEquals(25, resultMatrixSignificance1.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertEquals(2, resultMatrixSignificance1.getRowCount());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(0, resultMatrixSignificance1.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertEquals(2, resultMatrixHTML0.getRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\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(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\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.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\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 assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColCount());\n assertEquals(2, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertEquals(2, resultMatrixHTML0.getRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n \n boolean boolean0 = resultMatrixHTML0.getColHidden(3);\n assertFalse(boolean0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertEquals(2, resultMatrixHTML0.getRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n }","title":""},{"docid":"a704bc7a652b51012e82c4fec7d817be","score":"0.5793588","text":"@Test(timeout = 4000)\n public void test19() throws Throwable {\n JRip jRip0 = new JRip();\n jRip0.toString();\n Attribute attribute0 = new Attribute(\"{\", 2287);\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\n double[] doubleArray0 = new double[4];\n doubleArray0[0] = (double) 1;\n doubleArray0[1] = (double) 4;\n doubleArray0[2] = 559.9;\n doubleArray0[3] = (double) 2;\n SparseInstance sparseInstance0 = new SparseInstance(559.9, doubleArray0);\n jRip_NominalAntd0.covers(sparseInstance0);\n jRip_NominalAntd0.getAttrValue();\n Attribute attribute1 = jRip_NominalAntd0.getAttr();\n attribute1.setWeight(0.0);\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\n jRip_RipperRule0.setConsequent((-945.575));\n jRip0.listOptions();\n jRip0.listOptions();\n jRip_RipperRule0.size();\n jRip0.getFolds();\n CoverTree coverTree0 = new CoverTree();\n try { \n coverTree0.kNearestNeighbours(sparseInstance0, 0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }","title":""},{"docid":"70c42a2679213cacbb0b37826da6b684","score":"0.57917315","text":"@Test(timeout = 4000)\n public void test146() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixHTML0);\n resultMatrixHTML0.TIE_STRING = \"(\";\n resultMatrixLatex0.getStdDev(0, 25);\n resultMatrixLatex0.setStdDev(3911, 85, 0);\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(69, 3911);\n }","title":""},{"docid":"35cd538a6dfa956e9edc60a441a1df05","score":"0.5789173","text":"@Test(timeout = 4000)\n public void test03() throws Throwable {\n Evaluation.handleCostOption(\"\", 0);\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Vector<NaiveBayesMultinomial> vector0 = new Vector<NaiveBayesMultinomial>();\n instances0.removeAll(vector0);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.equals(textDirectoryLoader0);\n boolean boolean0 = evaluation0.equals(vector0);\n assertFalse(boolean0);\n \n double double0 = evaluation0.numTrueNegatives(2);\n assertEquals(0.0, double0, 0.01);\n \n double double1 = evaluation0.SFPriorEntropy();\n assertEquals(0.0, double1, 0.01);\n \n double double2 = evaluation0.numTruePositives(117);\n assertEquals(double2, double0, 0.01);\n assertEquals(0.0, double2, 0.01);\n }","title":""},{"docid":"558baa80aa4465c6574ae8c825e7d2a3","score":"0.57849795","text":"@Test\n\tpublic void capTest29() {\n\t\tassertFalse(JunitTester.canCaptureTest(yellowKingBoard, 6, 1));\n\t}","title":""},{"docid":"164af46fe9269683c67cb04e242c6425","score":"0.5783373","text":"private static void runTestCWE9() {\n}","title":""},{"docid":"de85637d4ba7288bbfe026e9c2e0671d","score":"0.5781775","text":"@Test(timeout = 4000)\n public void test159() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixCSV0);\n String[] stringArray0 = resultMatrixSignificance0.getOptions();\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(18, stringArray0.length);\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n }","title":""},{"docid":"7d34fb3013ba79023fc4370aa107f7e5","score":"0.578105","text":"private static void runTestCWE7() {\r\n}","title":""},{"docid":"6261d11dbf2f5553e9c1de2b553f05e5","score":"0.5780748","text":"@Test\n\tpublic void capTest36() {\n\t\tassertFalse(JunitTester.canCaptureTest(yellowKingvsKingBoard, 1, 6));\n\t}","title":""},{"docid":"ffd331a681428f40b851c278e572249d","score":"0.57804203","text":"@Test(timeout = 4000)\n public void test015() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixSignificance0);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(2, 0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixPlainText0);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n \n resultMatrixPlainText0.clearSummary();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixLatex0);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\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(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n \n String string0 = resultMatrixLatex0.padString(\"`tptE~4dE!l$&j$b\", 0, false);\n assertEquals(\"`tptE~4dE!l$&j$b\", string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(string0);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\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(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixCSV0);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\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 counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(5, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n \n boolean boolean0 = resultMatrixCSV0.getDefaultEnumerateColNames();\n assertTrue(boolean0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\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 counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(5, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n \n String[] stringArray0 = new String[3];\n stringArray0[0] = \"(\";\n stringArray0[1] = \")\";\n stringArray0[2] = null;\n ResultMatrixCSV.main(stringArray0);\n assertEquals(3, stringArray0.length);\n \n resultMatrixLatex0.setColName(0, \")\");\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\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(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n \n int int0 = resultMatrixLatex0.getSignificanceCount(0, (-752));\n assertEquals(0, int0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\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(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n \n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex();\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\n assertNotNull(resultMatrixLatex1);\n assertTrue(resultMatrixLatex1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex1.showAverageTipText());\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex1.countWidthTipText());\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex1.printRowNamesTipText());\n assertEquals(0, resultMatrixLatex1.getCountWidth());\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex1.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex1.getVisibleColCount());\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\n assertEquals(1, resultMatrixLatex1.getVisibleRowCount());\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex1.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\n assertEquals(1, resultMatrixLatex1.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateRowNamesTipText());\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\n assertFalse(resultMatrixLatex1.getPrintColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex1.getDisplayName());\n assertEquals(1, resultMatrixLatex1.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex1.meanWidthTipText());\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex1.showStdDevTipText());\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex1.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex1.getRowNameWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex1.globalInfo());\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\n assertFalse(resultMatrixLatex1.getShowAverage());\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\n assertTrue(resultMatrixLatex1.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex1.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex1.printColNamesTipText());\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\n assertFalse(resultMatrixLatex1.getShowStdDev());\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex1.rowNameWidthTipText());\n \n String string1 = resultMatrixLatex1.toStringMatrix();\n assertEquals(\"\\\\begin{table}[thb]\\n\\\\caption{\\\\label{labelname}Table Caption}\\n\\\\footnotesize\\n{\\\\centering \\\\begin{tabular}{lr}\\n\\\\\\\\\\n\\\\hline\\nDataset & (1)\\\\\\\\\\n\\\\hline\\nrow0 & \\\\\\\\\\n\\\\hline\\n\\\\multicolumn{2}{c}{$\\\\circ$, $\\\\bullet$ statistically significant improvement or degradation}\\\\\\\\\\n\\\\end{tabular} \\\\footnotesize \\\\par}\\n\\\\end{table}\\n\", string1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\n assertFalse(string1.equals((Object)string0));\n assertNotSame(resultMatrixLatex1, resultMatrixLatex0);\n assertNotNull(string1);\n assertTrue(resultMatrixLatex1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex1.showAverageTipText());\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex1.countWidthTipText());\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex1.printRowNamesTipText());\n assertEquals(0, resultMatrixLatex1.getCountWidth());\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex1.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex1.getVisibleColCount());\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\n assertEquals(1, resultMatrixLatex1.getVisibleRowCount());\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex1.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\n assertEquals(1, resultMatrixLatex1.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateRowNamesTipText());\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\n assertFalse(resultMatrixLatex1.getPrintColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex1.getDisplayName());\n assertEquals(1, resultMatrixLatex1.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex1.meanWidthTipText());\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex1.showStdDevTipText());\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex1.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex1.getRowNameWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex1.globalInfo());\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\n assertFalse(resultMatrixLatex1.getShowAverage());\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\n assertTrue(resultMatrixLatex1.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex1.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex1.printColNamesTipText());\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\n assertFalse(resultMatrixLatex1.getShowStdDev());\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex1.rowNameWidthTipText());\n \n // Undeclared exception!\n try { \n resultMatrixLatex0.toStringHeader();\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }","title":""},{"docid":"168b8ee363a3fdad2dba82c61fb91224","score":"0.57772815","text":"private static void runTestCWE8() {\n}","title":""},{"docid":"3c519e230f2b2cf242d945a1cf491a3a","score":"0.5776806","text":"@Test\n public void testStep35GetCurrentInteractionsCount() {\n System.out.println(\"testStep35GetCurrentInteractionsCount\");\n assertEquals(CURRENT_INTERACTIONS_COUNT, yearStat.getCurrentInteractionsCount());\n }","title":""},{"docid":"8ec7b179ce21d04abdec4ee7100d26c2","score":"0.5775899","text":"@Test(timeout = 4000)\n public void test052() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertNotNull(resultMatrixSignificance0);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.m_ShowAverage = false;\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n \n int[][] intArray0 = new int[2][6];\n int int0 = resultMatrixSignificance0.getRowCount();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, int0);\n }","title":""},{"docid":"d359209a97c8e22b9eda476e7c72aca1","score":"0.5774339","text":"@Test(timeout = 4000)\n public void test22() throws Throwable {\n JRip jRip0 = new JRip();\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\n assertEquals((-1.0), jRip_RipperRule0.getConsequent(), 0.01);\n \n InputMappedClassifier inputMappedClassifier0 = new InputMappedClassifier();\n String[] stringArray0 = new String[9];\n stringArray0[0] = \"?{Cuzcj-_4b\";\n stringArray0[1] = \"%tO(J z\";\n stringArray0[2] = \"4+)l;M_n<UPN\";\n double[] doubleArray0 = new double[3];\n doubleArray0[0] = 559.9;\n doubleArray0[1] = 1.0;\n doubleArray0[2] = 559.9;\n SparseInstance sparseInstance0 = new SparseInstance(1.0, doubleArray0);\n ArrayList<Locale.LanguageRange> arrayList0 = new ArrayList<Locale.LanguageRange>();\n List<String> list0 = Locale.filterTags((List<Locale.LanguageRange>) arrayList0, (Collection<String>) null);\n Properties properties0 = new Properties();\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\n Attribute attribute0 = new Attribute(\"?{Cuzcj-_4b\", list0, protectedProperties0);\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\n jRip_NominalAntd0.covers(sparseInstance0);\n jRip_NominalAntd0.getAttrValue();\n Attribute attribute1 = jRip_NominalAntd0.getAttr();\n attribute0.setWeight(64.0);\n JRip.RipperRule jRip_RipperRule1 = jRip0.new RipperRule();\n jRip_RipperRule0.setConsequent(Double.NaN);\n JRip jRip1 = new JRip();\n JRip.RipperRule jRip_RipperRule2 = jRip0.new RipperRule();\n jRip_RipperRule2.hasAntds();\n jRip_RipperRule0.covers(sparseInstance0);\n jRip_NominalAntd0.copy();\n jRip_NominalAntd0.getMaxInfoGain();\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute1);\n String string0 = jRip_NumericAntd0.getRevision();\n assertEquals(\"8118\", string0);\n }","title":""},{"docid":"7abdc03eada59f07458dacb67e24b9e4","score":"0.5766647","text":"@Test(timeout = 4000)\n public void test16() throws Throwable {\n byte[] byteArray0 = new byte[34];\n HashWrapper hashWrapper0 = new HashWrapper(byteArray0);\n MockFile mockFile0 = new MockFile(\"1^%8|FrkXc\", \"1^%8|FrkXc\");\n URL uRL0 = mockFile0.toURL();\n LightWeightSeedManager lightWeightSeedManager0 = LightWeightSeedManager.getSingleton();\n LightWeightSeed lightWeightSeed0 = new LightWeightSeed(lightWeightSeedManager0, \"1^%8|FrkXc\", hashWrapper0, uRL0, mockFile0, (LightWeightSeedAdapter) null);\n lightWeightSeed0.start();\n lightWeightSeed0.stop();\n }","title":""},{"docid":"6c7198993ce246b216f11ab1531a3752","score":"0.57639235","text":"@Test(timeout = 4000)\n public void test102() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixSignificance0);\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n \n int[] intArray0 = new int[4];\n intArray0[0] = 0;\n intArray0[1] = 0;\n intArray0[2] = 0;\n intArray0[3] = 0;\n int[] intArray1 = new int[7];\n assertFalse(intArray1.equals((Object)intArray0));\n \n intArray1[0] = 1;\n intArray1[2] = 2;\n intArray1[4] = 0;\n intArray1[5] = 1;\n intArray0[3] = 2;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n \n String[] stringArray0 = new String[2];\n stringArray0[0] = \"\";\n stringArray0[1] = \" \";\n resultMatrixGnuPlot0.m_ColNames = stringArray0;\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n \n resultMatrixGnuPlot0.setRowName(0, \"\");\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixCSV0);\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n \n int[] intArray2 = new int[1];\n assertFalse(intArray2.equals((Object)intArray1));\n assertFalse(intArray2.equals((Object)intArray0));\n \n intArray2[0] = (-358);\n resultMatrixCSV0.setRowOrder(intArray2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(intArray2.equals((Object)intArray1));\n assertFalse(intArray2.equals((Object)intArray0));\n assertNotSame(intArray2, intArray1);\n assertNotSame(intArray2, intArray0);\n assertEquals(1, intArray2.length);\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertArrayEquals(new int[] {(-358)}, intArray2);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n \n String string0 = resultMatrixPlainText0.padString(\"\", 294, false);\n assertEquals(\" \", string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(string0);\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n \n String string1 = resultMatrixPlainText0.toStringSummary();\n assertEquals(\"-summary data not set-\", string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(string1.equals((Object)string0));\n assertNotNull(string1);\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\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.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n \n int int0 = resultMatrixLatex0.getDefaultStdDevPrec();\n assertEquals(2, int0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\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.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n }","title":""},{"docid":"ad89fb487e1112d7b19109f18cbd3d36","score":"0.57624406","text":"private static void runTestCWE3() {\r\n}","title":""},{"docid":"63ee1263b8ae8ee562b72c169ac61ccd","score":"0.57615453","text":"@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize();\n discretize0.getAttributeIndices();\n discretize0.setDesiredWeightOfInstancesPerInterval(3785.69462);\n discretize0.setOutputFormat();\n String[] stringArray0 = new String[7];\n stringArray0[0] = \"first-last\";\n stringArray0[1] = \"first-last\";\n String string0 = \"OOLodY\";\n stringArray0[2] = \"OOLodY\";\n stringArray0[3] = \"first-last\";\n stringArray0[4] = \"first-last\";\n stringArray0[5] = \"first-last\";\n stringArray0[6] = \"first-last\";\n discretize0.setOptions(stringArray0);\n discretize0.setBins((-5883));\n discretize0.desiredWeightOfInstancesPerIntervalTipText();\n // Undeclared exception!\n try { \n discretize0.findNumBins((-5883));\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":"043287055666e32beab6b95126083b37","score":"0.57575357","text":"@Test\r\n public void testHuvudavtal_EHM_IT_DriftExamples(){\r\n try {\r\n new ClassificationTester(\"\\nUppsägning enligt punkten 24.1 ova\"+\r\n \"n ska inte medföra några kostnader eller\"+\r\n \" andra påföljder för EHM. Vidare gäller \"+\r\n \"att Leverantören är skyldig att informer\"+\r\n \"a EHM om sådana omständigheter som har b\"+\r\n \"etydelse för EHM vid bedömning av punkte\"+\r\n \"n 24.1 ovan.\")\r\n .withParser(swedishParser)\r\n .withHeadline(\"25 Förtida upphörande av Avtalet\")\r\n .withProject(mockProject, mockDocument)\r\n .withClassifier(new NumberClassifierSV())\r\n .withClassifier(new DefinitionUsageClassifierSV())\r\n .withClassifier(new ReportingClassifierSV())\r\n .expectingClassification(new ClassificationAssertion(FeatureTypeTree.REPORTING, 1)\r\n .withTag(\"\")\r\n )\r\n .test();\r\n\r\n\r\n new ClassificationTester(\"Leverantören ska fortlöpande tillhandahå\"+\r\n \"lla konkreta förslag till förbättringar \"+\r\n \"och effektiviseringar. Baserat på Levera\"+\r\n \"ntörens förslag ska Parterna gemensamt d\"+\r\n \"efiniera förbättringsprojekt för att eff\"+\r\n \"ektivisera Tjänsten.\")\r\n .withParser(swedishParser)\r\n .withHeadline(\"7 Avtalets omfattning och Tjänsten\")\r\n .withProject(mockProject, mockDocument)\r\n .withClassifier(new NumberClassifierSV())\r\n .withClassifier(new DefinitionUsageClassifierSV())\r\n .withClassifier(new ReportingClassifierSV())\r\n .expectingClassification(new ClassificationAssertion(FeatureTypeTree.REPORTING, 1)\r\n .withTag(\"\")\r\n )\r\n .test();\r\n\r\n\r\n } catch (Exception e) {\r\n e.printStackTrace();\r\n assertTrue(false);\r\n }\r\n }","title":""},{"docid":"c29cdd68f2b64f4387a321ba897a048d","score":"0.5756973","text":"@Test(timeout = 4000)\n public void test033() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n \n String string0 = resultMatrixSignificance0.getColName(7);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNull(string0);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(2, 0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixPlainText0);\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n \n resultMatrixPlainText0.clearSummary();\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n \n String[] stringArray0 = new String[9];\n stringArray0[0] = \"$w7]\\\"$x-O*{$^wl\";\n stringArray0[1] = \"\";\n stringArray0[2] = \"*\";\n stringArray0[3] = \"v\";\n stringArray0[4] = \"$w7]\\\"$x-O*{$^wl\";\n stringArray0[5] = \")\";\n stringArray0[6] = \"$w7]\\\"$x-O*{$^wl\";\n stringArray0[7] = \"JOR}My?[1>q\";\n stringArray0[8] = \")\";\n ResultMatrixPlainText.main(stringArray0);\n assertEquals(9, stringArray0.length);\n \n int[] intArray0 = new int[3];\n intArray0[0] = 0;\n intArray0[1] = 2;\n intArray0[2] = 2;\n resultMatrixSignificance0.setColOrder(intArray0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(3, intArray0.length);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertArrayEquals(new int[] {0, 2, 2}, intArray0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\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, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n \n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixGnuPlot1);\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, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n assertNotNull(resultMatrixSignificance1);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance1.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance1.getRowCount());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n \n boolean boolean0 = resultMatrixSignificance0.getDefaultShowStdDev();\n assertFalse(boolean0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n \n String string1 = resultMatrixGnuPlot1.getRowName((-1));\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, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertNull(string1);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n \n int int0 = resultMatrixPlainText0.getDisplayCol((-382));\n assertEquals((-1), int0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n \n double double0 = resultMatrixGnuPlot1.getCount(1);\n assertEquals(0.0, double0, 0.01);\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, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n }","title":""},{"docid":"564b3ff4ef4c4339dc86323bfec6245e","score":"0.575584","text":"private static void runTestCWE6() {\n}","title":""},{"docid":"3c9fe9faaa9862b2ec4b9c277e7f3b83","score":"0.57510394","text":"private static void runTestCWE2() {\n}","title":""},{"docid":"c718181e085f5ff4588f7c415dc7c5f4","score":"0.57507575","text":"@Test(timeout = 4000)\n public void test07() throws Throwable {\n Evaluation.handleCostOption(\"\", 0);\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.equals(textDirectoryLoader0);\n assertFalse(boolean0);\n \n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0, doubleArray0.length);\n }","title":""},{"docid":"9f2bde2ce17f198c8af20c040fa99f11","score":"0.57494694","text":"@Test(timeout = 4000)\n public void test02() throws Throwable {\n Evaluation.handleCostOption(\"\", 0);\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n String[] stringArray0 = new String[3];\n stringArray0[0] = \"@relation\";\n stringArray0[1] = \".arff\";\n stringArray0[2] = \"@data\";\n textDirectoryLoader0.setOptions(stringArray0);\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.equals(textDirectoryLoader0);\n assertFalse(boolean0);\n \n double double0 = evaluation0.rootMeanSquaredError();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }","title":""},{"docid":"3cca16f2d8b71001bdf8f3253278725b","score":"0.5748581","text":"@Test\n\tpublic void capTest37() {\n\t\tassertTrue(JunitTester.canCaptureTest(yellowKingvsKingBoard, 4, 0));\n\t}","title":""},{"docid":"01302ee049ae54d50c6994ef24164d90","score":"0.5745117","text":"@Test\n\tpublic void capTest16() {\n\t\tassertFalse(JunitTester.canCaptureTest(capBoardYellow, 5, 2));\n\t}","title":""},{"docid":"49abbb8831a83b05872247166227e7e1","score":"0.57395273","text":"@Test(timeout = 4000)\n public void test12() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n int[] intArray0 = new int[1];\n resultMatrixSignificance0.m_RankingDiff = intArray0;\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n intArray0[0] = 2;\n resultMatrixSignificance0.m_RankingWins = intArray0;\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n resultMatrixSignificance0.m_PrintRowNames = false;\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n resultMatrixSignificance0.m_PrintRowNames = true;\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n int int0 = resultMatrixSignificance0.getDefaultColNameWidth();\n assertEquals(0, int0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n int int1 = 1629;\n resultMatrixSignificance0.setMeanPrec(1629);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(1629, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.toStringKey();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }","title":""},{"docid":"106004d38f6a3cc74bbeb13846b0b162","score":"0.57367563","text":"@Test(timeout = 4000)\n public void test31() throws Throwable {\n FileSystemHandling.shouldAllThrowIOExceptions();\n JRip jRip0 = new JRip();\n jRip0.setOptions((String[]) null);\n Attribute attribute0 = new Attribute(\"X7G\", \"X7G\");\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute0);\n assertEquals(Double.NaN, jRip_NumericAntd0.getAttrValue(), 0.01);\n \n jRip_NumericAntd0.value = (double) 1;\n jRip_NumericAntd0.toString();\n String string0 = jRip_NumericAntd0.toString();\n assertEquals(\"X7G >= NaN\", string0);\n }","title":""},{"docid":"2e15b2e6c8967c0c44a27ab259eb5a5d","score":"0.5736317","text":"@Test(timeout = 4000)\n public void test20() throws Throwable {\n JRip jRip0 = new JRip();\n DecisionTable decisionTable0 = new DecisionTable();\n Instances instances0 = decisionTable0.m_dtInstances;\n Attribute attribute0 = new Attribute(\"\\\"4F/Mq5/c|)\", 116);\n Attribute attribute1 = new Attribute(\"@attribute\", \"d88\");\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute1);\n JRip.NominalAntd jRip_NominalAntd1 = (JRip.NominalAntd)jRip_NominalAntd0.copy();\n assertEquals(0.0, jRip_NominalAntd1.getMaxInfoGain(), 0.01);\n assertEquals(Double.NaN, jRip_NominalAntd1.getCover(), 0.01);\n assertEquals(Double.NaN, jRip_NominalAntd1.getAccuRate(), 0.01);\n assertEquals(Double.NaN, jRip_NominalAntd1.getAccu(), 0.01);\n assertEquals(Double.NaN, jRip_NominalAntd1.getAttrValue(), 0.01);\n \n JRip jRip1 = new JRip();\n String string0 = jRip1.minNoTipText();\n assertEquals(\"The minimum total weight of the instances in a rule.\", string0);\n \n String string1 = jRip0.debugTipText();\n assertEquals(\"Whether debug information is output to the console.\", string1);\n \n boolean boolean0 = jRip0.getCheckErrorRate();\n assertTrue(boolean0);\n \n String[] stringArray0 = jRip1.getOptions();\n assertEquals(2, jRip1.getOptimizations());\n assertEquals(1L, jRip1.getSeed());\n assertTrue(jRip1.getUsePruning());\n assertFalse(jRip1.getDebug());\n assertEquals(11, stringArray0.length);\n assertEquals(2.0, jRip1.getMinNo(), 0.01);\n assertEquals(3, jRip1.getFolds());\n }","title":""}],"string":"[\n {\n \"docid\": \"eefcb8163fe844db41b4e7f3007cf287\",\n \"score\": \"0.6556619\",\n \"text\": \"@Test(timeout = 4000)\\n public void test24() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"h&uYpUC]>5dku/m]CS\\\");\\n discretize0.m_ClassIndex = 102;\\n double[][] doubleArray0 = new double[4][0];\\n byte[] byteArray0 = new byte[8];\\n byteArray0[0] = (byte)0;\\n byteArray0[2] = (byte)96;\\n byteArray0[3] = (byte)0;\\n byteArray0[5] = (byte) (-102);\\n byteArray0[6] = (byte)96;\\n byteArray0[7] = (byte) (-102);\\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\\n double[] doubleArray1 = new double[9];\\n doubleArray1[0] = (double) (byte)0;\\n doubleArray1[3] = (double) 102;\\n doubleArray1[4] = (double) (byte)0;\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"h&uYpUC]>5dku/m]CS\\\");\\n doubleArray1[5] = (double) (byte) (-102);\\n doubleArray1[4] = 0.0;\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n doubleArray1[8] = (double) (byte)0;\\n doubleArray0[0] = doubleArray1;\\n doubleArray0[1] = doubleArray1;\\n discretize0.m_CutPoints = doubleArray0;\\n String string0 = discretize0.getBinRangesString((byte)0);\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(\\\"(-inf-0],(0-0],(0-0],(0-102],(102-0],(0--102],(-102-0],(0-0],(0-0],(0-inf)\\\", string0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cf2c237bf23fd6da172af8072a976609\",\n \"score\": \"0.6505286\",\n \"text\": \"@Test(timeout = 4000)\\n public void test32() throws Throwable {\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n Attribute attribute0 = new Attribute(\\\"+]S^<Ux5jl\\\");\\n Attribute attribute1 = attribute0.copy(\\\"Options:\\\\n\\\\t-list-packages <all | installed | available>\\\\n\\\\t-package-info <repository | installed | archive> <packageName | packageZip>\\\\n\\\\t-install-package <packageName | packageZip | URL> [version]\\\\n\\\\t-uninstall-package packageName\\\\n\\\\t-refresh-cache\\\");\\n attribute1.setWeight(0.0);\\n JRip jRip0 = new JRip();\\n AbstractClassifier.makeCopy(jRip0);\\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\\n double double0 = jRip_NominalAntd0.getCover();\\n assertEquals(Double.NaN, double0, 0.01);\\n \\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute1);\\n JRip.NumericAntd jRip_NumericAntd1 = (JRip.NumericAntd)jRip_NumericAntd0.copy();\\n assertEquals(Double.NaN, jRip_NumericAntd1.getSplitPoint(), 0.01);\\n assertNotSame(jRip_NumericAntd1, jRip_NumericAntd0);\\n assertEquals(Double.NaN, jRip_NumericAntd1.getAttrValue(), 0.01);\\n \\n JRip.NumericAntd jRip_NumericAntd2 = jRip0.new NumericAntd(attribute0);\\n assertEquals(Double.NaN, jRip_NumericAntd2.getAccu(), 0.01);\\n assertEquals(Double.NaN, jRip_NumericAntd2.getAccuRate(), 0.01);\\n assertEquals(0.0, jRip_NumericAntd2.getMaxInfoGain(), 0.01);\\n \\n int[] intArray0 = new int[6];\\n intArray0[0] = 4;\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Instances instances0 = new Instances(\\\"@attribute\\\", arrayList0, 4);\\n jRip_RipperRule0.prune(instances0, true);\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n jRip_RipperRule0.hasAntds();\\n boolean boolean0 = jRip_RipperRule0.hasAntds();\\n assertFalse(jRip0.getDebug());\\n assertEquals(2, jRip0.getOptimizations());\\n assertTrue(jRip0.getUsePruning());\\n assertTrue(jRip0.getCheckErrorRate());\\n assertEquals(1L, jRip0.getSeed());\\n assertFalse(boolean0);\\n assertEquals(2.0, jRip0.getMinNo(), 0.01);\\n assertEquals((-1.0), jRip_RipperRule0.getConsequent(), 0.01);\\n assertEquals(3, jRip0.getFolds());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b86a76e9e9f3d6b2d46e9aa1a5ecf24\",\n \"score\": \"0.64725536\",\n \"text\": \"@Test(timeout = 4000)\\n public void test05() throws Throwable {\\n Evaluation.handleCostOption(\\\"\\\", 0);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n textDirectoryLoader0.getOptions();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.equals(textDirectoryLoader0);\\n assertFalse(boolean0);\\n \\n double double0 = evaluation0.weightedAreaUnderPRC();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, double0, 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"694eb827d70bef7c00ac5f3cb96ce509\",\n \"score\": \"0.64362305\",\n \"text\": \"@Test(timeout = 4000)\\n public void test27() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n TestInstances testInstances1 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\" \\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.getRevision();\\n FilteredClassifier filteredClassifier0 = new FilteredClassifier();\\n evaluation0.setNumericPriorsFromBuffer();\\n evaluation0.rootMeanPriorSquaredError();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b1a3dd464739fce5c17f09f75415f164\",\n \"score\": \"0.6352509\",\n \"text\": \"@Test(timeout = 4000)\\n public void test11() throws Throwable {\\n Evaluation.handleCostOption(\\\"\\\", 0);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n textDirectoryLoader0.setOutputFilename(false);\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n instances0.stream();\\n double double0 = evaluation0.numTruePositives(22);\\n assertEquals(0.0, double0, 0.01);\\n \\n double double1 = evaluation0.unclassified();\\n assertEquals(0.0, double1, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b7fa1c6274727df4089bab004ec17276\",\n \"score\": \"0.627734\",\n \"text\": \"@Test(timeout = 4000)\\n public void test27() throws Throwable {\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n Attribute attribute0 = new Attribute(\\\"+]S^<Ux5jl\\\");\\n Attribute attribute1 = attribute0.copy(\\\"Options:\\\\n\\\\t-list-packages <all | installed | available>\\\\n\\\\t-package-info <repository | installed | archive> <packageName | packageZip>\\\\n\\\\t-install-package <packageName | packageZip | URL> [version]\\\\n\\\\t-uninstall-package packageName\\\\n\\\\t-refresh-cache\\\");\\n attribute1.setWeight(0.0);\\n JRip jRip0 = new JRip();\\n AbstractClassifier.makeCopy(jRip0);\\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\\n assertEquals((-1.0), jRip_RipperRule0.getConsequent(), 0.01);\\n \\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\\n FileSystemHandling.appendLineToFile((EvoSuiteFile) null, \\\"date\\\");\\n double double0 = jRip_NominalAntd0.getCover();\\n assertEquals(Double.NaN, double0, 0.01);\\n \\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute1);\\n JRip.NumericAntd jRip_NumericAntd1 = (JRip.NumericAntd)jRip_NumericAntd0.copy();\\n assertEquals(Double.NaN, jRip_NumericAntd1.getAttrValue(), 0.01);\\n assertEquals(Double.NaN, jRip_NumericAntd1.getSplitPoint(), 0.01);\\n assertNotSame(jRip_NumericAntd1, jRip_NumericAntd0);\\n \\n JRip.NumericAntd jRip_NumericAntd2 = jRip0.new NumericAntd(attribute0);\\n int[] intArray0 = new int[6];\\n intArray0[0] = 4;\\n intArray0[1] = 2;\\n intArray0[2] = 3;\\n intArray0[4] = 4;\\n intArray0[5] = 1;\\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, true);\\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(1, intArray0, 2);\\n boolean boolean0 = jRip_NumericAntd2.covers(binarySparseInstance0);\\n assertTrue(boolean0);\\n \\n System.setCurrentTimeMillis(0L);\\n String string0 = jRip_NominalAntd0.getRevision();\\n assertEquals(Double.NaN, jRip_NominalAntd0.getAccuRate(), 0.01);\\n assertEquals(\\\"8118\\\", string0);\\n assertEquals(Double.NaN, jRip_NominalAntd0.getAccu(), 0.01);\\n assertEquals(0.0, jRip_NominalAntd0.getMaxInfoGain(), 0.01);\\n \\n long long0 = jRip0.getSeed();\\n assertEquals(2.0, jRip0.getMinNo(), 0.01);\\n assertTrue(jRip0.getUsePruning());\\n assertEquals(2, jRip0.getOptimizations());\\n assertTrue(jRip0.getCheckErrorRate());\\n assertEquals(3, jRip0.getFolds());\\n assertEquals(1L, long0);\\n assertFalse(jRip0.getDebug());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"333370c99aa8211840b41c23f6adb4f0\",\n \"score\": \"0.6236819\",\n \"text\": \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n char[] charArray0 = new char[1];\\n charArray0[0] = 'F';\\n String string0 = evaluation0.num2ShortID((-2), charArray0, 8);\\n assertEquals(\\\" F\\\", string0);\\n \\n FileSystemHandling fileSystemHandling0 = new FileSystemHandling();\\n testInstances0.setNumRelationalString(82);\\n double double0 = evaluation0.pctIncorrect();\\n assertEquals(Double.NaN, double0, 0.01);\\n \\n String string1 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string1);\\n \\n double double1 = evaluation0.pctUnclassified();\\n double double2 = evaluation0.m_SumPriorEntropy;\\n double double3 = evaluation0.falsePositiveRate(32);\\n assertEquals(0.0, double3, 0.01);\\n \\n double double4 = evaluation0.coverageOfTestCasesByPredictedRegions();\\n double double5 = evaluation0.rootMeanSquaredError();\\n double double6 = evaluation0.SFEntropyGain();\\n assertNotEquals(double6, double5, 0.01);\\n \\n evaluation0.confusionMatrix();\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(2, doubleArray0.length);\\n \\n double double7 = evaluation0.weightedRecall();\\n assertEquals(double7, double4, 0.01);\\n \\n System.setCurrentTimeMillis((-59L));\\n double double8 = evaluation0.weightedAreaUnderROC();\\n assertEquals(double8, double1, 0.01);\\n assertEquals(Double.NaN, double8, 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a954f06f3f4dd02370ff53382468bed0\",\n \"score\": \"0.61998117\",\n \"text\": \"@Test(timeout = 4000)\\n public void test251() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n resultMatrixLatex0.clearHeader();\\n ResultMatrixSignificance.main((String[]) null);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ec3d918951ffe570af0b85d0171fd9e2\",\n \"score\": \"0.6170116\",\n \"text\": \"@Test(timeout = 4000)\\n public void test25() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n char[] charArray0 = new char[1];\\n charArray0[0] = 'F';\\n FileSystemHandling.shouldThrowIOException((EvoSuiteFile) null);\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n ZeroR zeroR0 = new ZeroR();\\n cVParameterSelection0.setClassifier(zeroR0);\\n MultiClassClassifier multiClassClassifier0 = new MultiClassClassifier();\\n evaluation0.KBRelativeInformation();\\n System.setCurrentTimeMillis((-1L));\\n Evaluation evaluation1 = new Evaluation(instances0);\\n evaluation0.toClassDetailsString(\\\".arff\\\");\\n evaluation1.trueNegativeRate(474);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"02cd166fc77e07e5cbbae2950ec6854c\",\n \"score\": \"0.61526686\",\n \"text\": \"@Test\\n\\t@Override\\n\\tpublic void testNormalDistribution() throws Exception {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"382844f757fb037cc2beb2627cd31eae\",\n \"score\": \"0.61411864\",\n \"text\": \"@Test(timeout = 4000)\\n public void test10() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n GlobalInfoJavadoc globalInfoJavadoc0 = new GlobalInfoJavadoc();\\n globalInfoJavadoc0.setSilent(false);\\n REPTree rEPTree0 = new REPTree();\\n evaluation0.numTrueNegatives(0);\\n evaluation0.setDiscardPredictions(true);\\n evaluation0.SFPriorEntropy();\\n double double0 = evaluation0.numTruePositives(100000);\\n assertTrue(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"25440b7e4a7306b1e2136558aa282480\",\n \"score\": \"0.6103055\",\n \"text\": \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n char[] charArray0 = new char[1];\\n charArray0[0] = 'F';\\n String string0 = evaluation0.num2ShortID((-2), charArray0, 8);\\n assertEquals(\\\" F\\\", string0);\\n \\n FileSystemHandling fileSystemHandling0 = new FileSystemHandling();\\n testInstances0.setNumRelationalString(82);\\n double double0 = evaluation0.pctIncorrect();\\n String string1 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string1);\\n \\n double double1 = evaluation0.pctUnclassified();\\n double double2 = evaluation0.m_SumPriorEntropy;\\n double double3 = evaluation0.falsePositiveRate(32);\\n assertEquals(0.0, double3, 0.01);\\n \\n double double4 = evaluation0.coverageOfTestCasesByPredictedRegions();\\n assertEquals(double4, double1, 0.01);\\n \\n double double5 = evaluation0.rootMeanSquaredError();\\n double double6 = evaluation0.SFEntropyGain();\\n assertNotEquals(double6, double0, 0.01);\\n \\n evaluation0.confusionMatrix();\\n evaluation0.confusionMatrix();\\n double double7 = evaluation0.weightedRecall();\\n assertNotEquals(double7, double3, 0.01);\\n assertEquals(double7, double5, 0.01);\\n \\n System.setCurrentTimeMillis((-59L));\\n Evaluation evaluation1 = new Evaluation(evaluation0.m_Header);\\n evaluation0.rootRelativeSquaredError();\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5947b8d06f2a5234b3f399d9747aee8b\",\n \"score\": \"0.60955495\",\n \"text\": \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"X]..?f\\\");\\n discretize0.setAttributeIndices(\\\"X]..?f\\\");\\n discretize0.m_UseEqualFrequency = true;\\n discretize0.m_MakeBinary = true;\\n discretize0.setDesiredWeightOfInstancesPerInterval((-1.0));\\n discretize0.m_DesiredWeightOfInstancesPerInterval = 1.7976931348623157E308;\\n discretize0.getCapabilities();\\n discretize0.binsTipText();\\n discretize0.getOptions();\\n discretize0.getBinRangesString((-1));\\n discretize0.getRevision();\\n assertEquals(1.7976931348623157E308, discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"946ae3a0da2dc01edec54b9bf2bc369a\",\n \"score\": \"0.60862744\",\n \"text\": \"@Test(timeout = 4000)\\n public void test09() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.globalInfo();\\n assertEquals(\\\"An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes. Discretization is by simple binning. Skips the class attribute if set.\\\", string0);\\n \\n discretize0.setAttributeIndices(\\\"\\\");\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0dd161add24da8f2c313321aae6ba34c\",\n \"score\": \"0.6079622\",\n \"text\": \"@Test(timeout = 4000)\\n public void test18() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"g\\\");\\n discretize0.setOutputFormat();\\n double[][] doubleArray0 = new double[2][0];\\n double[] doubleArray1 = new double[9];\\n doubleArray1[0] = 0.0;\\n doubleArray1[1] = 0.0;\\n doubleArray1[2] = (-1803.2);\\n doubleArray1[3] = 1726.34;\\n doubleArray1[4] = 1316.19;\\n doubleArray1[5] = 0.0;\\n doubleArray1[6] = (-8.99122234509242);\\n doubleArray1[7] = 1.7976931348623157E308;\\n doubleArray1[8] = (-1.7976931348623157E308);\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[4];\\n doubleArray2[0] = 1.7976931348623157E308;\\n doubleArray2[1] = 1726.34;\\n doubleArray2[2] = (-1803.2);\\n doubleArray2[3] = 0.0;\\n doubleArray0[1] = doubleArray2;\\n discretize0.m_CutPoints = doubleArray0;\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString((-1952257859));\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // -1952257859\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6a26a8bb1673b720d51ed6f3e473201d\",\n \"score\": \"0.6079526\",\n \"text\": \"@Test(timeout = 4000)\\n public void test21() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\" \\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n VotedPerceptron votedPerceptron0 = new VotedPerceptron();\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n cVParameterSelection0.setClassifier(votedPerceptron0);\\n Evaluation.makeOptionString(votedPerceptron0, false);\\n Evaluation evaluation1 = new Evaluation(instances0);\\n Evaluation evaluation2 = new Evaluation(instances0);\\n Evaluation evaluation3 = new Evaluation(evaluation0.m_Header);\\n Instances instances1 = evaluation0.getHeader();\\n FileSystemHandling fileSystemHandling0 = new FileSystemHandling();\\n Evaluation evaluation4 = new Evaluation(instances1);\\n evaluation4.toCumulativeMarginDistributionString();\\n Evaluation evaluation5 = new Evaluation(instances0);\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, (String) null);\\n evaluation5.meanAbsoluteError();\\n double double0 = evaluation3.SFMeanEntropyGain();\\n assertEquals(Double.NaN, double0, 0.01);\\n \\n evaluation3.weightedMatthewsCorrelation();\\n String string0 = evaluation4.toClassDetailsString((String) null);\\n assertEquals(\\\"null\\\\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 }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8e005eef39f0fe0417a4f504d90cbd84\",\n \"score\": \"0.6035539\",\n \"text\": \"public void test1570() { doTest(true, true); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6936126c5485091cee9e10ea8238d3bb\",\n \"score\": \"0.6027714\",\n \"text\": \"@Test(timeout = 4000)\\n public void test095() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n \\n boolean boolean0 = true;\\n resultMatrixSignificance0.m_PrintColNames = true;\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n \\n resultMatrixSignificance0.setPrintColNames(true);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n \\n String string0 = resultMatrixSignificance0.removeFilterName(\\\"|oY.$SBwz*`$$;RV\\\");\\n assertEquals(\\\"|oY.$SBwz*`$$;RV\\\", string0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(string0);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n \\n String[] stringArray0 = new String[9];\\n stringArray0[0] = \\\"|oY.$SBwz*`$$;RV\\\";\\n stringArray0[1] = \\\"*\\\";\\n stringArray0[2] = \\\"*\\\";\\n stringArray0[3] = \\\" \\\";\\n stringArray0[4] = \\\"|oY.$SBwz*`$$;RV\\\";\\n stringArray0[5] = \\\"|oY.$SBwz*`$$;RV\\\";\\n stringArray0[6] = \\\")\\\";\\n stringArray0[7] = \\\"|oY.$SBwz*`$$;RV\\\";\\n stringArray0[8] = \\\"v\\\";\\n resultMatrixSignificance0.m_RowNames = stringArray0;\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(9, resultMatrixSignificance0.getRowCount());\\n \\n String string1 = resultMatrixSignificance0.removeFilterName(\\\"|oY.$SBwz*`$$;RV\\\");\\n assertEquals(\\\"|oY.$SBwz*`$$;RV\\\", string1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(string1.equals((Object)string0));\\n assertNotNull(string1);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(9, resultMatrixSignificance0.getRowCount());\\n \\n resultMatrixSignificance0.clearHeader();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(9, resultMatrixSignificance0.getRowCount());\\n \\n resultMatrixSignificance0.clearSummary();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(9, resultMatrixSignificance0.getRowCount());\\n \\n String string2 = resultMatrixSignificance0.globalInfo();\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", string2);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(string2.equals((Object)string0));\\n assertFalse(string2.equals((Object)string1));\\n assertNotNull(string2);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(9, resultMatrixSignificance0.getRowCount());\\n \\n int int0 = 1725;\\n // Undeclared exception!\\n try { \\n resultMatrixSignificance0.toString();\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c56f0c59da58941bd39689470682744a\",\n \"score\": \"0.6025808\",\n \"text\": \"@Test(timeout = 4000)\\n public void test22() throws Throwable {\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n Discretize discretize0 = new Discretize();\\n discretize0.m_IgnoreClass = true;\\n discretize0.getCapabilities();\\n String[] stringArray0 = discretize0.getOptions();\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(7, stringArray0.length);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93278205aec40a592841e84f1a7161d2\",\n \"score\": \"0.6005893\",\n \"text\": \"@Test(timeout = 4000)\\n public void test11() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"#\\\");\\n String string0 = discretize0.attributeIndicesTipText();\\n assertEquals(\\\"Specify range of attributes to act on. This is a comma separated list of attribute indices, with \\\\\\\"first\\\\\\\" and \\\\\\\"last\\\\\\\" valid values. Specify an inclusive range with \\\\\\\"-\\\\\\\". E.g: \\\\\\\"first-3,5,6-10,last\\\\\\\".\\\", string0);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getMakeBinary());\\n assertFalse(discretize0.getFindNumBins());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"191e5577548f9c6b9e31235268440f94\",\n \"score\": \"0.6001432\",\n \"text\": \"@Test(timeout = 4000)\\n public void test00() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"ma6:[z8W(%2_++X[5\\\");\\n discretize0.setInvertSelection(false);\\n String[] stringArray0 = new String[7];\\n stringArray0[0] = \\\"ma6:[z8W(%2_++X[5\\\";\\n stringArray0[1] = \\\"ma6:[z8W(%2_++X[5\\\";\\n stringArray0[2] = \\\"ma6:[z8W(%2_++X[5\\\";\\n stringArray0[3] = \\\"ma6:[z8W(%2_++X[5\\\";\\n stringArray0[4] = \\\"ma6:[z8W(%2_++X[5\\\";\\n stringArray0[5] = \\\"pv<X4\\\\\\\"T2E#((:rxF/f!\\\";\\n stringArray0[6] = \\\"ma6:[z8W(%2_++X[5\\\";\\n Discretize.main(stringArray0);\\n discretize0.invertSelectionTipText();\\n double double0 = 44.9043;\\n discretize0.m_DesiredWeightOfInstancesPerInterval = 44.9043;\\n discretize0.findNumBinsTipText();\\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning(3404);\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e71bf108a9dcf31e44cd4d0c42be044\",\n \"score\": \"0.60005826\",\n \"text\": \"@Test(timeout = 4000)\\n public void test115() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixPlainText0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\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, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n \\n resultMatrixSignificance0.WIN_STRING = \\\" \\\";\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n \\n boolean boolean0 = resultMatrixGnuPlot0.getPrintRowNames();\\n assertTrue(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\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, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n \\n boolean[] booleanArray0 = new boolean[5];\\n booleanArray0[0] = true;\\n booleanArray0[1] = true;\\n booleanArray0[2] = true;\\n booleanArray0[3] = true;\\n booleanArray0[4] = true;\\n resultMatrixPlainText0.m_ColHidden = booleanArray0;\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n \\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixHTML0);\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n \\n String string0 = resultMatrixHTML0.getDisplayName();\\n assertEquals(\\\"HTML\\\", string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(string0);\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n \\n boolean boolean1 = resultMatrixSignificance0.isStdDev(0);\\n assertFalse(boolean1);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(boolean1 == boolean0);\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"56c0fdd9541b914fd81210a6523dc3dd\",\n \"score\": \"0.5997731\",\n \"text\": \"@Test(timeout = 4000)\\n public void test08() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n VotedPerceptron votedPerceptron0 = new VotedPerceptron();\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n cVParameterSelection0.setClassifier(votedPerceptron0);\\n Evaluation.makeOptionString(votedPerceptron0, false);\\n Evaluation evaluation1 = new Evaluation(instances0);\\n evaluation1.getHeader();\\n Evaluation evaluation2 = new Evaluation(instances0);\\n String string0 = evaluation1.toSummaryString(false);\\n assertEquals(\\\"=== Summary ===\\\\n\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n \\n double double0 = evaluation1.meanAbsoluteError();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation1.unclassified(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa5a5c2f5a5faae03c0cece90ff79b14\",\n \"score\": \"0.59904826\",\n \"text\": \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"X]..?f\\\");\\n discretize0.setAttributeIndices(\\\"X]..?f\\\");\\n assertFalse(discretize0.getMakeBinary());\\n \\n discretize0.m_MakeBinary = true;\\n discretize0.binsTipText();\\n discretize0.m_DefaultCols = \\\"Optimize number of bins using leave-one-out estimate\\\\n\\\\tof estimated entropy (for equal-width discretization).\\\\n\\\\tIf this is set then the -B option will be ignored.\\\";\\n String[] stringArray0 = discretize0.getOptions();\\n discretize0.getBinRangesString((-1));\\n Discretize.main(stringArray0);\\n assertTrue(discretize0.getMakeBinary());\\n assertEquals(10, discretize0.getBins());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d541ad7b407e419be986740bd2f3411\",\n \"score\": \"0.59794754\",\n \"text\": \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n char[] charArray0 = new char[1];\\n charArray0[0] = 'F';\\n String string0 = evaluation0.num2ShortID((-2), charArray0, 8);\\n assertEquals(\\\" F\\\", string0);\\n \\n FileSystemHandling fileSystemHandling0 = new FileSystemHandling();\\n testInstances0.setNumRelationalString(82);\\n double double0 = evaluation0.pctIncorrect();\\n String string1 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string1);\\n \\n double double1 = evaluation0.pctUnclassified();\\n assertEquals(Double.NaN, double1, 0.01);\\n \\n double double2 = evaluation0.m_SumPriorEntropy;\\n evaluation0.falsePositiveRate(32);\\n double double3 = evaluation0.coverageOfTestCasesByPredictedRegions();\\n assertEquals(double3, double0, 0.01);\\n \\n Instances.test(testInstances0.DEFAULT_WORDS);\\n evaluation0.rootMeanSquaredError();\\n double double4 = evaluation0.m_ConfLevel;\\n assertEquals(0.95, double4, 0.01);\\n \\n evaluation0.confusionMatrix();\\n evaluation0.confusionMatrix();\\n Evaluation evaluation1 = new Evaluation(instances0);\\n evaluation0.useNoPriors();\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74cffeae265be8720efa07bcd29df739\",\n \"score\": \"0.5972162\",\n \"text\": \"@Test(timeout = 4000)\\n public void test182() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n resultMatrixLatex0.setSignificanceWidth(2);\\n resultMatrixLatex0.setMeanPrec(2);\\n resultMatrixLatex0.toStringSummary();\\n assertEquals(2, resultMatrixLatex0.getSignificanceWidth());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c34a5bce34df89196827cb16c337c057\",\n \"score\": \"0.5971773\",\n \"text\": \"@Test(timeout = 4000)\\n public void test16() throws Throwable {\\n JRip jRip0 = new JRip();\\n jRip0.toString();\\n Attribute attribute0 = new Attribute(\\\"{\\\", 2287);\\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\\n double[] doubleArray0 = new double[4];\\n doubleArray0[0] = (double) 1;\\n doubleArray0[1] = (double) 4;\\n doubleArray0[2] = 559.9;\\n doubleArray0[3] = (double) 2;\\n SparseInstance sparseInstance0 = new SparseInstance(559.9, doubleArray0);\\n jRip_NominalAntd0.covers(sparseInstance0);\\n jRip_NominalAntd0.getAttrValue();\\n Attribute attribute1 = jRip_NominalAntd0.getAttr();\\n attribute1.setWeight(0.0);\\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\\n jRip_RipperRule0.setConsequent((-945.575));\\n jRip0.listOptions();\\n // Undeclared exception!\\n try { \\n jRip0.getRuleStats(0);\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.classifiers.rules.JRip\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b59d2e68f13bd3ae7ef6ca3fc7c7279\",\n \"score\": \"0.59717363\",\n \"text\": \"@Before\\r\\n\\tpublic void setUp() throws Exception {\\r\\n\\t\\tsuper.setUp();\\r\\n\\t\\tSIRJavaFactory sir = new SIRJavaFactory();\\r\\n\\t\\tsir.setExperimentRoot(EXPERIMENTROOT);\\r\\n\\t\\tApplication testapp = sir.extract(appname);\\r\\n\\t\\tp = testapp.getProgram(ProgramVariant.orig, 0);\\r\\n\\t\\tsfe = new SourceFileEntity(p,\\\"default.package\\\",\\\"test.java\\\",null);\\r\\n\\t\\ts1 = new StatementEntity(sfe,10,\\\"int i=0\\\");\\r\\n\\t\\ts2 = new StatementEntity(sfe,20,\\\"int j=0\\\");\\r\\n\\t\\ts3 = new StatementEntity(sfe,120,\\\"int k=0\\\");\\r\\n\\t\\t\\r\\n\\t\\ttca = new ArrayList<>();\\r\\n\\t\\ttca.add(a);tca.add(b);tca.add(c);tca.add(d);tca.add(e);tca.add(f);\\r\\n\\t\\tList<StatementEntity> sea = new ArrayList<>();\\r\\n\\t\\tsea.add(s1);sea.add(s2);sea.add(s3);\\r\\n\\t\\tcodeCoverage =new CodeCoverage<StatementEntity>(tca,sea,null);\\r\\n\\t\\tcodeCoverage.setLink(a, s1);\\r\\n\\t\\tcodeCoverage.setLink(a, s3);\\r\\n\\t\\tcodeCoverage.setLink(c, s1);\\r\\n\\t\\tcodeCoverage.setLink(c, s3);\\r\\n\\t\\tcodeCoverage.setLink(e, s3);\\r\\n\\t\\tcodeCoverage.setLink(f,s1);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd49e37e0d2d6f02b5f1a19c2031ce9f\",\n \"score\": \"0.5969645\",\n \"text\": \"@Test(timeout = 4000)\\n public void test62() throws Throwable {\\n CostMatrix costMatrix0 = Evaluation.handleCostOption(\\\"\\\", 0);\\n assertNull(costMatrix0);\\n \\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n assertEquals(\\\"Whether to store the filename in an additional attribute.\\\", textDirectoryLoader0.outputFilenameTipText());\\n assertFalse(textDirectoryLoader0.getOutputFilename());\\n assertEquals(\\\"Whether to print additional debug information to the console.\\\", textDirectoryLoader0.debugTipText());\\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 assertFalse(textDirectoryLoader0.getDebug());\\n assertEquals(\\\"\\\", textDirectoryLoader0.getCharSet());\\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 assertNotNull(textDirectoryLoader0);\\n \\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n assertEquals(\\\"Whether to store the filename in an additional attribute.\\\", textDirectoryLoader0.outputFilenameTipText());\\n assertFalse(textDirectoryLoader0.getOutputFilename());\\n assertEquals(\\\"Whether to print additional debug information to the console.\\\", textDirectoryLoader0.debugTipText());\\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 assertFalse(textDirectoryLoader0.getDebug());\\n assertEquals(\\\"\\\", textDirectoryLoader0.getCharSet());\\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(\\\"_home_ubuntu_evosuite_readability_gen_projects_107_weka\\\", instances0.relationName());\\n assertEquals(0, instances0.numClasses());\\n assertEquals(1, instances0.classIndex());\\n assertEquals(0.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(0, instances0.size());\\n assertTrue(instances0.checkForStringAttributes());\\n assertEquals(0, instances0.numInstances());\\n assertEquals(2, instances0.numAttributes());\\n assertNotNull(instances0);\\n \\n CostSensitiveClassifier costSensitiveClassifier0 = new CostSensitiveClassifier();\\n assertEquals(1, CostSensitiveClassifier.MATRIX_ON_DEMAND);\\n assertEquals(2, CostSensitiveClassifier.MATRIX_SUPPLIED);\\n assertFalse(costSensitiveClassifier0.getDebug());\\n assertEquals(\\\"The random number seed to be used.\\\", costSensitiveClassifier0.seedTipText());\\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(\\\"If set to true, classifier may output additional info to the console.\\\", costSensitiveClassifier0.debugTipText());\\n assertEquals(1, costSensitiveClassifier0.getSeed());\\n assertEquals(0, costSensitiveClassifier0.graphType());\\n assertEquals(\\\"Sets the cost matrix explicitly. This matrix is used if the costMatrixSource property is set to \\\\\\\"Supplied\\\\\\\".\\\", costSensitiveClassifier0.costMatrixTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", costSensitiveClassifier0.classifierTipText());\\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 assertFalse(costSensitiveClassifier0.getMinimizeExpectedCost());\\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 assertNotNull(costSensitiveClassifier0);\\n \\n TestInstances testInstances0 = new TestInstances();\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(0, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getClassType());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertNotNull(testInstances0);\\n \\n Instances instances1 = testInstances0.generate();\\n assertFalse(instances1.equals((Object)instances0));\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(0, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getClassType());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(20, instances1.numInstances());\\n assertEquals(2, instances1.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances1.relationName());\\n assertEquals(1, instances1.classIndex());\\n assertEquals(2, instances1.numClasses());\\n assertFalse(instances1.checkForStringAttributes());\\n assertEquals(20.0, instances1.sumOfWeights(), 0.01);\\n assertEquals(20, instances1.size());\\n assertNotNull(instances1);\\n assertNotSame(instances1, instances0);\\n \\n Evaluation evaluation0 = new Evaluation(instances1, (CostMatrix) null);\\n assertFalse(instances1.equals((Object)instances0));\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(0, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getClassType());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(20, instances1.numInstances());\\n assertEquals(2, instances1.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances1.relationName());\\n assertEquals(1, instances1.classIndex());\\n assertEquals(2, instances1.numClasses());\\n assertFalse(instances1.checkForStringAttributes());\\n assertEquals(20.0, instances1.sumOfWeights(), 0.01);\\n assertEquals(20, instances1.size());\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedFMeasure(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedFalseNegativeRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedRecall(), 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 assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedTruePositiveRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedPrecision(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedTrueNegativeRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedFalsePositiveRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(1.0, evaluation0.kappa(), 0.01);\\n assertNotNull(evaluation0);\\n \\n String string0 = evaluation0.toClassDetailsString(\\\"@relation\\\");\\n assertFalse(instances1.equals((Object)instances0));\\n assertEquals(\\\"@relation\\\\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((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(0, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getClassType());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(20, instances1.numInstances());\\n assertEquals(2, instances1.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances1.relationName());\\n assertEquals(1, instances1.classIndex());\\n assertEquals(2, instances1.numClasses());\\n assertFalse(instances1.checkForStringAttributes());\\n assertEquals(20.0, instances1.sumOfWeights(), 0.01);\\n assertEquals(20, instances1.size());\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedFMeasure(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedFalseNegativeRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedRecall(), 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 assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedTruePositiveRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedPrecision(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedTrueNegativeRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedFalsePositiveRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(1.0, evaluation0.kappa(), 0.01);\\n assertNotNull(string0);\\n assertNotSame(instances1, instances0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d23270f2f961ac32f1e42285e50e41e0\",\n \"score\": \"0.5959071\",\n \"text\": \"@Test(timeout = 4000)\\n public void test28() throws Throwable {\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n ArrayList<Locale.LanguageRange> arrayList0 = new ArrayList<Locale.LanguageRange>();\\n LinkedList<Locale.LanguageRange> linkedList0 = new LinkedList<Locale.LanguageRange>();\\n LinkedList<String> linkedList1 = new LinkedList<String>();\\n Locale.filterTags((List<Locale.LanguageRange>) arrayList0, (Collection<String>) linkedList1);\\n ArrayList<Locale.LanguageRange> arrayList1 = new ArrayList<Locale.LanguageRange>();\\n List<String> list0 = Locale.filterTags((List<Locale.LanguageRange>) arrayList1, (Collection<String>) null);\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n Attribute attribute0 = new Attribute(\\\"\\\", list0, protectedProperties0);\\n JRip jRip0 = new JRip();\\n JRip jRip1 = new JRip();\\n JRip.RipperRule jRip_RipperRule0 = jRip1.new RipperRule();\\n jRip1.getCapabilities();\\n jRip_RipperRule0.setConsequent(4);\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"$Revision: 8181 $\\\");\\n JRip.RipperRule jRip_RipperRule1 = jRip1.new RipperRule();\\n jRip_RipperRule0.hasAntds();\\n JRip.NominalAntd jRip_NominalAntd0 = jRip1.new NominalAntd(attribute0);\\n ArrayList<Attribute> arrayList2 = new ArrayList<Attribute>();\\n Instances instances0 = new Instances(\\\"integer\\\", arrayList2, 3);\\n jRip_NominalAntd0.splitData(instances0, 0.0, 346.801769518576);\\n jRip1.getOptions();\\n jRip_RipperRule1.hasAntds();\\n jRip_RipperRule0.grow(instances0);\\n assertEquals(4.0, jRip_RipperRule0.getConsequent(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"79a87e110e03a92466919c608a21a033\",\n \"score\": \"0.59567904\",\n \"text\": \"@Test\\n public void improveCostTest() {\\n // TODO: test improveCost\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"017a7cda383c1b7e584b3dffebc52b74\",\n \"score\": \"0.5950229\",\n \"text\": \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n \\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixSignificance0);\\n assertNotNull(resultMatrixSignificance1);\\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance1.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance1.getColCount());\\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixSignificance1.getRowCount());\\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance1.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance1.meanPrecTipText());\\n assertFalse(resultMatrixSignificance1.getShowAverage());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance1.colNameWidthTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance1.getDisplayName());\\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance1.globalInfo());\\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance1.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance1.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance1.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance1.stdDevPrecTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance1.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance1.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance1.getShowStdDev());\\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\\n assertFalse(resultMatrixSignificance1.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance1.printColNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance1.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\\n \\n int[][] intArray0 = new int[2][9];\\n int[] intArray1 = new int[5];\\n intArray1[0] = 915;\\n intArray1[1] = (-2430);\\n intArray1[2] = 0;\\n intArray1[3] = 0;\\n intArray1[4] = 2;\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[9];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = 1;\\n intArray2[1] = 2;\\n intArray2[2] = 0;\\n intArray2[3] = (-2430);\\n intArray2[4] = 2;\\n intArray2[5] = 2;\\n intArray2[6] = 2;\\n intArray2[7] = (-2430);\\n intArray2[8] = 2;\\n intArray0[1] = intArray2;\\n resultMatrixSignificance0.setSummary(intArray0, intArray0);\\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\\n assertEquals(2, intArray0.length);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8366702b50dc2d5a204c1084d16a0158\",\n \"score\": \"0.59406155\",\n \"text\": \"@Test\\n public void testStep36GetPreviousInteractionsCount() {\\n System.out.println(\\\"testStep36GetPreviousInteractionsCount\\\");\\n assertEquals(PREVIOUS_INTERACTIONS_COUNT, yearStat.getPreviousInteractionsCount()); \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"04ebe07f8af79a560dfa2e4e4a2012ad\",\n \"score\": \"0.5930408\",\n \"text\": \"@Test(timeout = 4000)\\n public void test28() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n ZeroR zeroR0 = new ZeroR();\\n cVParameterSelection0.setClassifier(zeroR0);\\n MultiClassClassifier multiClassClassifier0 = new MultiClassClassifier();\\n Evaluation.main(testInstances0.DEFAULT_WORDS);\\n evaluation0.KBRelativeInformation();\\n Evaluation.makeOptionString(multiClassClassifier0, false);\\n evaluation0.trueNegativeRate(1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"66c040a261e8fe6271f1d4d4ae0a081d\",\n \"score\": \"0.59078753\",\n \"text\": \"@Test(timeout = 4000)\\n public void test11() throws Throwable {\\n JRip jRip0 = new JRip();\\n jRip0.getTechnicalInformation();\\n jRip0.getTechnicalInformation();\\n AbstractClassifier.makeCopy(jRip0);\\n jRip0.toString();\\n AbstractClassifier.makeCopy(jRip0);\\n jRip0.getUsePruning();\\n jRip0.getMinNo();\\n ArrayList<String> arrayList0 = new ArrayList<String>();\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n Attribute attribute0 = new Attribute(\\\"JRIP: No model built yet.\\\", arrayList0, protectedProperties0);\\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute0);\\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\\n File file0 = serializedClassifier0.getModelFile();\\n String string0 = \\\"]>An(V\\\\\\\"}\\\";\\n MockPrintStream mockPrintStream0 = null;\\n try {\\n mockPrintStream0 = new MockPrintStream(file0, \\\"]>An(V\\\\\\\"}\\\");\\n fail(\\\"Expecting exception: FileNotFoundException\\\");\\n \\n } catch(Throwable e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"org.evosuite.runtime.mock.java.io.MockFileOutputStream\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"32737fd821a7ee1c0e22b7998c7d0f3b\",\n \"score\": \"0.5906231\",\n \"text\": \"@Test\\n public void testEntropy() {\\n System.out.println(\\\"entropy\\\");\\n MultivariateGaussianDistribution instance = new MultivariateGaussianDistribution(mu, Matrix.of(sigma));\\n assertEquals(2.954971, instance.entropy(), 1E-6);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f159db975bcb491ae265c9dc120e9601\",\n \"score\": \"0.590065\",\n \"text\": \"public static void main(String[] args) throws Exception {\\n\\t\\t\\n\\t\\tFile csvFile = new File(\\\"featureModel/busybox.dimacs.ca1.csv\\\");\\n\\t\\tFile srcFile = new File(\\\"bugs/busybox/archival/tar.c\\\");\\n\\t\\tList<List<String>> samplings = new ConstrainedOneDisabledOnewise().getSamples(srcFile, csvFile);\\n\\t\\t\\n\\t\\tfor (List<String> s : samplings){\\n\\t\\t\\t//System.out.println(tester.getNumberOfMacrosEnabled(s));\\n\\t\\t\\tSystem.out.println(s);\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"190f2d0b53cb17bebad57e2eb01efe51\",\n \"score\": \"0.5895634\",\n \"text\": \"private static void runTestCWE2() {\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6c3fb1ddcda3752cbba86399a15f0d5e\",\n \"score\": \"0.58953816\",\n \"text\": \"@Test(timeout = 4000)\\n public void test25() throws Throwable {\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"\\\");\\n JRip jRip0 = new JRip();\\n String[] stringArray0 = jRip0.getOptions();\\n jRip0.setOptions(stringArray0);\\n assertTrue(jRip0.getCheckErrorRate());\\n assertEquals(1L, jRip0.getSeed());\\n assertEquals(11, stringArray0.length);\\n assertFalse(jRip0.getDebug());\\n assertEquals(3, jRip0.getFolds());\\n assertEquals(2, jRip0.getOptimizations());\\n assertEquals(2.0, jRip0.getMinNo(), 0.01);\\n assertTrue(jRip0.getUsePruning());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78191ca5ac5a94ced151d147ba2ff1e0\",\n \"score\": \"0.5888298\",\n \"text\": \"private static void runTestCWE9() {\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"41cd6357ea3d02530682a17c41ed4af4\",\n \"score\": \"0.58703184\",\n \"text\": \"protected void doTest2002082102() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dbfcf3cba7ca75a6483c014e391498ff\",\n \"score\": \"0.58622473\",\n \"text\": \"@Test(timeout = 4000)\\n public void test08() throws Throwable {\\n int int0 = 0;\\n Evaluation.handleCostOption(\\\"\\\", 0);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n EvoSuiteFile evoSuiteFile0 = new EvoSuiteFile(\\\"/home/ubuntu/evosuite_readability_gen/projects/107_weka\\\");\\n byte[] byteArray0 = new byte[0];\\n FileSystemHandling.appendDataToFile(evoSuiteFile0, byteArray0);\\n Vector<NaiveBayesMultinomial> vector0 = new Vector<NaiveBayesMultinomial>();\\n instances0.removeAll(vector0);\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n evaluation0.numInstances();\\n CostSensitiveClassifier costSensitiveClassifier0 = new CostSensitiveClassifier();\\n CostMatrix costMatrix0 = costSensitiveClassifier0.getCostMatrix();\\n Evaluation evaluation1 = null;\\n try {\\n evaluation1 = new Evaluation(instances0, costMatrix0);\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Throwable e) {\\n //\\n // Cost matrix not compatible with data!\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3ecff3ad4c64450141e14eef05a89d23\",\n \"score\": \"0.58610976\",\n \"text\": \"@Test\\n public void asdf(){\\n target.solution(24);\\n// target.solution(30);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6b87b15f0a9111f0fb1c84db924385ca\",\n \"score\": \"0.5859712\",\n \"text\": \"private static void runTestCWE8() {\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d396a30294eb6002aef7678871dd4d41\",\n \"score\": \"0.5858998\",\n \"text\": \"protected void doTest2002082202() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8719b45acf894ee384c07d1dca2912a9\",\n \"score\": \"0.58573234\",\n \"text\": \"@Test\\n public void improveImpressionTest() {\\n // TODO: test improveImpression\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"732420f45f1e1d21e7378abc06a98553\",\n \"score\": \"0.58540046\",\n \"text\": \"@Test(timeout = 4000)\\n public void test158() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n resultMatrixSignificance0.m_StdDevWidth = 97;\\n resultMatrixSignificance0.setMeanPrec((-766));\\n int[] intArray0 = new int[8];\\n intArray0[0] = 2;\\n intArray0[1] = 2;\\n intArray0[2] = 2;\\n intArray0[3] = 2;\\n intArray0[4] = (-766);\\n intArray0[5] = 1;\\n intArray0[6] = 2;\\n intArray0[7] = 2;\\n resultMatrixSignificance0.m_RankingWins = intArray0;\\n resultMatrixSignificance0.clearRanking();\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixSignificance0);\\n resultMatrixHTML0.setMeanWidth((-563));\\n resultMatrixHTML0.m_MeanWidth = 1126;\\n resultMatrixHTML0.m_PrintRowNames = false;\\n resultMatrixHTML0.m_StdDevWidth = 0;\\n resultMatrixSignificance0.toStringKey();\\n resultMatrixHTML0.countWidthTipText();\\n String[] stringArray0 = resultMatrixHTML0.getOptions();\\n resultMatrixHTML0.m_RowNames = stringArray0;\\n resultMatrixSignificance0.setPrintRowNames(false);\\n resultMatrixSignificance0.getShowAverage();\\n resultMatrixHTML0.printRowNamesTipText();\\n resultMatrixHTML0.setRemoveFilterName(false);\\n resultMatrixHTML0.toStringSummary();\\n resultMatrixSignificance0.setSignificance(2, 0, 26);\\n assertEquals(97, resultMatrixSignificance0.getStdDevWidth());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ae771fafe50b1b99e0df4af6041ea7f2\",\n \"score\": \"0.58532524\",\n \"text\": \"@Test(timeout = 4000)\\n public void test17() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n char[] charArray0 = new char[1];\\n charArray0[0] = 'F';\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n ZeroR zeroR0 = new ZeroR();\\n cVParameterSelection0.setClassifier(zeroR0);\\n MultiClassClassifier multiClassClassifier0 = new MultiClassClassifier();\\n evaluation0.KBRelativeInformation();\\n Evaluation.makeOptionString(multiClassClassifier0, true);\\n Evaluation evaluation1 = new Evaluation(instances0);\\n testInstances0.getData();\\n Evaluation evaluation2 = new Evaluation(instances0);\\n evaluation2.toCumulativeMarginDistributionString();\\n evaluation0.meanAbsoluteError();\\n Instance instance0 = null;\\n try { \\n Evaluation.handleCostOption(\\\".bsi\\\", 3);\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Exception e) {\\n //\\n // Can't open file null.\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ec485f8adb89cfd93e2108c670bd1781\",\n \"score\": \"0.5852256\",\n \"text\": \"@Test(timeout = 4000)\\n public void test00() throws Throwable {\\n GlobalInfoJavadoc globalInfoJavadoc0 = new GlobalInfoJavadoc();\\n globalInfoJavadoc0.getRevision();\\n globalInfoJavadoc0.setClassname(\\\"\\\\\\\"(ip\\\");\\n boolean boolean0 = true;\\n String[] stringArray0 = new String[4];\\n stringArray0[0] = \\\"8034\\\";\\n stringArray0[1] = \\\"\\\\\\\"(ip\\\";\\n stringArray0[2] = \\\"globalInfo\\\";\\n stringArray0[3] = \\\"8034\\\";\\n Evaluation.main(stringArray0);\\n globalInfoJavadoc0.generateHelp();\\n try { \\n Evaluation.handleCostOption(\\\"globalInfo\\\", (-1653));\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Exception e) {\\n //\\n // Can't open file null.\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9491772898e494e42e84005b545e5d5\",\n \"score\": \"0.58500475\",\n \"text\": \"@Test(timeout = 4000)\\n public void test149() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(31, 46);\\n resultMatrixSignificance0.setShowAverage(true);\\n resultMatrixSignificance0.padString(\\\"stddev-width\\\", 627);\\n assertTrue(resultMatrixSignificance0.getShowAverage());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e20d92a0b2c78e207843f140985c38be\",\n \"score\": \"0.58482695\",\n \"text\": \"@Test(timeout = 4000)\\n public void test27() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n \\n int int0 = resultMatrixSignificance0.getDefaultColNameWidth();\\n assertEquals(0, int0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n \\n resultMatrixSignificance0.setMeanPrec(1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n \\n String string0 = resultMatrixSignificance0.toStringKey();\\n assertEquals(\\\"Key:\\\\n(1) col0\\\\n\\\", string0);\\n assertNotNull(string0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n \\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixSignificance0);\\n assertNotNull(resultMatrixHTML0);\\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(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(40, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getMeanPrec());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixHTML0);\\n assertNotNull(resultMatrixGnuPlot0);\\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(0, ResultMatrix.SIGNIFICANCE_TIE);\\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 assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(40, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getMeanPrec());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n \\n resultMatrixHTML0.assign(resultMatrixGnuPlot0);\\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(0, ResultMatrix.SIGNIFICANCE_TIE);\\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 assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(40, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getMeanPrec());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n \\n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML();\\n assertNotNull(resultMatrixHTML1);\\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML1.meanPrecTipText());\\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML1.printRowNamesTipText());\\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML1.rowNameWidthTipText());\\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML1.countWidthTipText());\\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML1.getCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML1.colNameWidthTipText());\\n assertTrue(resultMatrixHTML1.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML1.globalInfo());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML1.getDisplayName());\\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML1.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixHTML1.getColCount());\\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML1.showStdDevTipText());\\n assertFalse(resultMatrixHTML1.getShowStdDev());\\n assertFalse(resultMatrixHTML1.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML1.meanWidthTipText());\\n assertFalse(resultMatrixHTML1.getPrintColNames());\\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML1.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\\n assertEquals(1, resultMatrixHTML1.getRowCount());\\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML1.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML1.stdDevPrecTipText());\\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML1.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\\n \\n int[] intArray0 = new int[8];\\n intArray0[0] = 0;\\n intArray0[1] = 0;\\n intArray0[2] = 783;\\n intArray0[3] = 0;\\n intArray0[4] = (-2346);\\n intArray0[5] = 0;\\n intArray0[6] = 2;\\n intArray0[7] = (-3604);\\n resultMatrixHTML0.setColOrder(intArray0);\\n assertFalse(resultMatrixHTML0.equals((Object)resultMatrixHTML1));\\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(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(40, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getMeanPrec());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertNotSame(resultMatrixHTML0, resultMatrixHTML1);\\n assertArrayEquals(new int[] {0, 0, 783, 0, (-2346), 0, 2, (-3604)}, intArray0);\\n assertEquals(8, intArray0.length);\\n \\n resultMatrixHTML1.setColName(1, \\\"-show-avg\\\");\\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML1.meanPrecTipText());\\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML1.printRowNamesTipText());\\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML1.rowNameWidthTipText());\\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML1.countWidthTipText());\\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML1.getCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML1.colNameWidthTipText());\\n assertTrue(resultMatrixHTML1.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML1.globalInfo());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML1.getDisplayName());\\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML1.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixHTML1.getColCount());\\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML1.showStdDevTipText());\\n assertFalse(resultMatrixHTML1.getShowStdDev());\\n assertFalse(resultMatrixHTML1.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML1.meanWidthTipText());\\n assertFalse(resultMatrixHTML1.getPrintColNames());\\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML1.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\\n assertEquals(1, resultMatrixHTML1.getRowCount());\\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML1.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML1.stdDevPrecTipText());\\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML1.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\\n assertNotSame(resultMatrixHTML1, resultMatrixHTML0);\\n \\n resultMatrixHTML1.setColOrder(intArray0);\\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML1.meanPrecTipText());\\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML1.printRowNamesTipText());\\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML1.rowNameWidthTipText());\\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML1.countWidthTipText());\\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML1.getCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML1.colNameWidthTipText());\\n assertTrue(resultMatrixHTML1.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML1.globalInfo());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML1.getDisplayName());\\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML1.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixHTML1.getColCount());\\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML1.showStdDevTipText());\\n assertFalse(resultMatrixHTML1.getShowStdDev());\\n assertFalse(resultMatrixHTML1.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML1.meanWidthTipText());\\n assertFalse(resultMatrixHTML1.getPrintColNames());\\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML1.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\\n assertEquals(1, resultMatrixHTML1.getRowCount());\\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML1.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML1.stdDevPrecTipText());\\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML1.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\\n assertNotSame(resultMatrixHTML1, resultMatrixHTML0);\\n assertArrayEquals(new int[] {0, 0, 783, 0, (-2346), 0, 2, (-3604)}, intArray0);\\n assertEquals(8, intArray0.length);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b3e7702b390f84967b1cd1a90ead8026\",\n \"score\": \"0.5846979\",\n \"text\": \"@Test\\n public void test58() throws Throwable {\\n SeqClassifierFlags seqClassifierFlags0 = new SeqClassifierFlags();\\n assertEquals(\\\"\\\", seqClassifierFlags0.toString());\\n assertNotNull(seqClassifierFlags0);\\n assertEquals(50, seqClassifierFlags0.SGD2QNhessSamples);\\n assertTrue(seqClassifierFlags0.useSequences);\\n assertFalse(seqClassifierFlags0.useBoundarySequences);\\n assertFalse(seqClassifierFlags0.combo);\\n assertFalse(seqClassifierFlags0.useGoodForNamesCpC);\\n assertFalse(seqClassifierFlags0.casedDistSim);\\n assertFalse(seqClassifierFlags0.useTypeySequences);\\n assertFalse(seqClassifierFlags0.useNoisyNonNoisyFeature);\\n assertFalse(seqClassifierFlags0.useTypeSeqs3);\\n assertFalse(seqClassifierFlags0.useTypeSeqs2);\\n assertFalse(seqClassifierFlags0.useCRFforUnsup);\\n assertEquals(1.0E-4, seqClassifierFlags0.tolerance, 0.01D);\\n assertFalse(seqClassifierFlags0.printWeights);\\n assertFalse(seqClassifierFlags0.greekifyNGrams);\\n assertFalse(seqClassifierFlags0.useTrainLexicon);\\n assertFalse(seqClassifierFlags0.randomLopFeatureSplit);\\n assertFalse(seqClassifierFlags0.useWEBFreqDict);\\n assertFalse(seqClassifierFlags0.useDictleng);\\n assertFalse(seqClassifierFlags0.useHk);\\n assertFalse(seqClassifierFlags0.useNextRealWord);\\n assertFalse(seqClassifierFlags0.useMUCFeatures);\\n assertFalse(seqClassifierFlags0.useDict2);\\n assertFalse(seqClassifierFlags0.testHessSamples);\\n assertFalse(seqClassifierFlags0.removeBackgroundSingletonFeatures);\\n assertFalse(seqClassifierFlags0.deleteBlankLines);\\n assertFalse(seqClassifierFlags0.includeFullCRFInLOP);\\n assertEquals(0.1, seqClassifierFlags0.dualDecompInitialStepSize, 0.01D);\\n assertEquals((-1), seqClassifierFlags0.arbitraryInputLayerSize);\\n assertFalse(seqClassifierFlags0.usePrediction2);\\n assertFalse(seqClassifierFlags0.useParenMatching);\\n assertEquals(0.0, seqClassifierFlags0.removeTopNPercent, 0.01D);\\n assertFalse(seqClassifierFlags0.useWEB);\\n assertFalse(seqClassifierFlags0.useDictCTB2);\\n assertFalse(seqClassifierFlags0.useTopics);\\n assertEquals(0, seqClassifierFlags0.dualDecompMaxItr);\\n assertFalse(seqClassifierFlags0.groupByFeatureTemplate);\\n assertEquals(0.1, seqClassifierFlags0.initialGain, 0.01D);\\n assertEquals(0.0, seqClassifierFlags0.priorLambda, 0.01D);\\n assertFalse(seqClassifierFlags0.bioSubmitOutput);\\n assertFalse(seqClassifierFlags0.usePre);\\n assertFalse(seqClassifierFlags0.transitionEdgeOnly);\\n assertFalse(seqClassifierFlags0.useQuartic);\\n assertFalse(seqClassifierFlags0.useDisjunctiveShapeInteraction);\\n assertFalse(seqClassifierFlags0.strictlySecondOrder);\\n assertFalse(seqClassifierFlags0.useFloat);\\n assertFalse(seqClassifierFlags0.addBiasToEmbedding);\\n assertFalse(seqClassifierFlags0.useASBCSuf1);\\n assertFalse(seqClassifierFlags0.dropoutApprox);\\n assertFalse(seqClassifierFlags0.useAs);\\n assertFalse(seqClassifierFlags0.regularizeSoftmaxTieParam);\\n assertFalse(seqClassifierFlags0.dump);\\n assertFalse(seqClassifierFlags0.useSeenFeaturesOnly);\\n assertFalse(seqClassifierFlags0.useNegHKDict2);\\n assertFalse(seqClassifierFlags0.useHardGE);\\n assertEquals(0.0, seqClassifierFlags0.l1reg, 0.01D);\\n assertFalse(seqClassifierFlags0.useNegCTBDict2);\\n assertFalse(seqClassifierFlags0.useRadical);\\n assertFalse(seqClassifierFlags0.useChPos);\\n assertFalse(seqClassifierFlags0.removeStrictGoodCoNLLDuplicates);\\n assertFalse(seqClassifierFlags0.fakeDataset);\\n assertFalse(seqClassifierFlags0.useNegCTBDict4);\\n assertFalse(seqClassifierFlags0.useNegCTBDict3);\\n assertFalse(seqClassifierFlags0.useSegmentation);\\n assertFalse(seqClassifierFlags0.useNB);\\n assertFalse(seqClassifierFlags0.useNegHKDict3);\\n assertFalse(seqClassifierFlags0.useNegHKDict4);\\n assertFalse(seqClassifierFlags0.intern2);\\n assertFalse(seqClassifierFlags0.retainEntitySubclassification);\\n assertFalse(seqClassifierFlags0.useHybrid);\\n assertFalse(seqClassifierFlags0.useWordn);\\n assertFalse(seqClassifierFlags0.readStdin);\\n assertFalse(seqClassifierFlags0.dualDecompAlignment);\\n assertFalse(seqClassifierFlags0.useShapeConjunctions);\\n assertFalse(seqClassifierFlags0.useGazettes);\\n assertEquals(25, seqClassifierFlags0.QNsize);\\n assertFalse(seqClassifierFlags0.useLemmas);\\n assertEquals(25, seqClassifierFlags0.QNsize2);\\n assertFalse(seqClassifierFlags0.useUnicodeBlock);\\n assertTrue(seqClassifierFlags0.learnCHBasedOnEN);\\n assertFalse(seqClassifierFlags0.useBeginSent);\\n assertFalse(seqClassifierFlags0.expandMidDot);\\n assertFalse(seqClassifierFlags0.normalizeTerms);\\n assertFalse(seqClassifierFlags0.evaluateBackground);\\n assertFalse(seqClassifierFlags0.useSuf);\\n assertFalse(seqClassifierFlags0.useEntityTypeSequences);\\n assertEquals(0, seqClassifierFlags0.numTimesPruneFeatures);\\n assertFalse(seqClassifierFlags0.useAcqPrior);\\n assertFalse(seqClassifierFlags0.useRad2b);\\n assertFalse(seqClassifierFlags0.usePhraseWordTags);\\n assertEquals(0, seqClassifierFlags0.hybridCutoffIteration);\\n assertEquals(10, seqClassifierFlags0.totalDataSlice);\\n assertFalse(seqClassifierFlags0.subCWGaz);\\n assertFalse(seqClassifierFlags0.dehyphenateNGrams);\\n assertEquals(1, seqClassifierFlags0.endFold);\\n assertFalse(seqClassifierFlags0.doAdaptation);\\n assertTrue(seqClassifierFlags0.useQN);\\n assertFalse(seqClassifierFlags0.useWideDisjunctive);\\n assertFalse(seqClassifierFlags0.useNoisyLabel);\\n assertFalse(seqClassifierFlags0.blockInitialize);\\n assertEquals(0, seqClassifierFlags0.multiThreadGibbs);\\n assertEquals(0.0, seqClassifierFlags0.dropoutRate, 0.01D);\\n assertFalse(seqClassifierFlags0.useReverse);\\n assertFalse(seqClassifierFlags0.useBagOfWords);\\n assertEquals(10, seqClassifierFlags0.totalFeatureSlice);\\n assertFalse(seqClassifierFlags0.tuneSGD);\\n assertEquals((-1), seqClassifierFlags0.samplingSpeedUpThreshold);\\n assertEquals(0.1, seqClassifierFlags0.gainSGD, 0.01D);\\n assertFalse(seqClassifierFlags0.useSentenceNumber);\\n assertFalse(seqClassifierFlags0.useOrdinal);\\n assertFalse(seqClassifierFlags0.useAbbr1);\\n assertFalse(seqClassifierFlags0.testVariance);\\n assertEquals(100, seqClassifierFlags0.printClassifierParam);\\n assertFalse(seqClassifierFlags0.useSymWordPairs);\\n assertFalse(seqClassifierFlags0.prependEmbedding);\\n assertEquals((-1), seqClassifierFlags0.maxNGramLeng);\\n assertEquals(0.0, seqClassifierFlags0.alignmentPruneThreshold, 0.01D);\\n assertFalse(seqClassifierFlags0.keepAllWhitespaces);\\n assertFalse(seqClassifierFlags0.useOutDict2);\\n assertFalse(seqClassifierFlags0.useLastRealWord);\\n assertEquals(0.0, seqClassifierFlags0.pctSegmenterScale, 0.01D);\\n assertFalse(seqClassifierFlags0.useNERPrior);\\n assertTrue(seqClassifierFlags0.useHiddenLayer);\\n assertFalse(seqClassifierFlags0.usePk);\\n assertFalse(seqClassifierFlags0.useFREQ);\\n assertFalse(seqClassifierFlags0.baseline);\\n assertEquals((-1), seqClassifierFlags0.SGDPasses);\\n assertEquals(1, seqClassifierFlags0.startFold);\\n assertFalse(seqClassifierFlags0.normalize);\\n assertEquals(1, seqClassifierFlags0.numFolds);\\n assertFalse(seqClassifierFlags0.usePKChar2);\\n assertEquals(0, seqClassifierFlags0.maxDocSize);\\n assertTrue(seqClassifierFlags0.initViterbi);\\n assertFalse(seqClassifierFlags0.usePrev);\\n assertFalse(seqClassifierFlags0.useMoreTags);\\n assertFalse(seqClassifierFlags0.useStochasticQN);\\n assertFalse(seqClassifierFlags0.useOWLQN);\\n assertFalse(seqClassifierFlags0.powerAlignProb);\\n assertFalse(seqClassifierFlags0.suppressMidDotPostprocessing);\\n assertFalse(seqClassifierFlags0.useNGrams);\\n assertFalse(seqClassifierFlags0.useURLSequences);\\n assertFalse(seqClassifierFlags0.restrictTransitionsTimit);\\n assertFalse(seqClassifierFlags0.cacheNGrams);\\n assertFalse(seqClassifierFlags0.noNeighborConstraints);\\n assertFalse(seqClassifierFlags0.useWord4);\\n assertFalse(seqClassifierFlags0.useWord3);\\n assertFalse(seqClassifierFlags0.useWord2);\\n assertFalse(seqClassifierFlags0.useScaledSGD);\\n assertFalse(seqClassifierFlags0.noMidNGrams);\\n assertFalse(seqClassifierFlags0.useWordPairs);\\n assertFalse(seqClassifierFlags0.useSGDtoQN);\\n assertFalse(seqClassifierFlags0.useIfInteger);\\n assertFalse(seqClassifierFlags0.nonLinearCRF);\\n assertFalse(seqClassifierFlags0.useLC);\\n assertEquals(0, seqClassifierFlags0.numOfSlices);\\n assertFalse(seqClassifierFlags0.useTitle);\\n assertFalse(seqClassifierFlags0.useSum);\\n assertEquals((-1), seqClassifierFlags0.wordShape);\\n assertFalse(seqClassifierFlags0.normalizeTimex);\\n assertFalse(seqClassifierFlags0.useKL);\\n assertFalse(seqClassifierFlags0.useDictPK2);\\n assertEquals(1, seqClassifierFlags0.kBest);\\n assertFalse(seqClassifierFlags0.largeChSegFile);\\n assertFalse(seqClassifierFlags0.useMoreGazFeatures);\\n assertFalse(seqClassifierFlags0.useDictionaryConjunctions);\\n assertEquals(1, seqClassifierFlags0.numTimesRemoveTopN);\\n assertFalse(seqClassifierFlags0.useMinimalAbbr1);\\n assertEquals(0.9, seqClassifierFlags0.selfTrainConfidenceThreshold, 0.01D);\\n assertFalse(seqClassifierFlags0.usePosition);\\n assertFalse(seqClassifierFlags0.useRule2);\\n assertFalse(seqClassifierFlags0.useWordShapeGaz);\\n assertFalse(seqClassifierFlags0.useWord1);\\n assertFalse(seqClassifierFlags0.outputIterationsToFile);\\n assertFalse(seqClassifierFlags0.softmaxOutputLayer);\\n assertEquals(0, seqClassifierFlags0.multiThreadClassifier);\\n assertFalse(seqClassifierFlags0.useVB);\\n assertEquals(0.0, seqClassifierFlags0.softmaxTieLambda, 0.01D);\\n assertFalse(seqClassifierFlags0.useCommonWordsFeature);\\n assertFalse(seqClassifierFlags0.useMinimalAbbr);\\n assertFalse(seqClassifierFlags0.useAdaGradFOBOS);\\n assertFalse(seqClassifierFlags0.useUnicodeType4gram);\\n assertFalse(seqClassifierFlags0.useLongSequences);\\n assertFalse(seqClassifierFlags0.sighanPostProcessing);\\n assertEquals(0, seqClassifierFlags0.numOfFeatureSlices);\\n assertFalse(seqClassifierFlags0.useDisjunctive);\\n assertFalse(seqClassifierFlags0.verboseMode);\\n assertFalse(seqClassifierFlags0.useTypeSeqs);\\n assertFalse(seqClassifierFlags0.useNPGovernor);\\n assertFalse(seqClassifierFlags0.useEitherSideDisjunctive);\\n assertFalse(seqClassifierFlags0.printXML);\\n assertFalse(seqClassifierFlags0.splitOnHead);\\n assertFalse(seqClassifierFlags0.useMoreAbbr);\\n assertFalse(seqClassifierFlags0.useChunks);\\n assertFalse(seqClassifierFlags0.useABSTR);\\n assertFalse(seqClassifierFlags0.terminateOnEvalImprovement);\\n assertFalse(seqClassifierFlags0.useDictionaryConjunctions3);\\n assertEquals(0.1, seqClassifierFlags0.initRate, 0.01D);\\n assertFalse(seqClassifierFlags0.ocrTrain);\\n assertEquals(8, seqClassifierFlags0.maxAllowedChromaticSize);\\n assertFalse(seqClassifierFlags0.useSymTags);\\n assertEquals(1.0, seqClassifierFlags0.dropoutScale, 0.01D);\\n assertFalse(seqClassifierFlags0.useNextSequences);\\n assertFalse(seqClassifierFlags0.strictlyZeroethOrder);\\n assertEquals((-1), seqClassifierFlags0.QNPasses);\\n assertFalse(seqClassifierFlags0.printNR);\\n assertFalse(seqClassifierFlags0.mergeTags);\\n assertFalse(seqClassifierFlags0.useCorefFeatures);\\n assertFalse(seqClassifierFlags0.useDisjShape);\\n assertFalse(seqClassifierFlags0.evaluateTrain);\\n assertEquals(1000, seqClassifierFlags0.wordSegBeamSize);\\n assertEquals(1.0, seqClassifierFlags0.unsupDropoutScale, 0.01D);\\n assertFalse(seqClassifierFlags0.use4Clique);\\n assertEquals(30, seqClassifierFlags0.beamSize);\\n assertFalse(seqClassifierFlags0.printFactorTable);\\n assertFalse(seqClassifierFlags0.useSigmoid);\\n assertFalse(seqClassifierFlags0.useNumberFeature);\\n assertFalse(seqClassifierFlags0.groupByInput);\\n assertTrue(seqClassifierFlags0.useMemoryEvaluator);\\n assertFalse(seqClassifierFlags0.memoryThrift);\\n assertFalse(seqClassifierFlags0.groupByHiddenUnit);\\n assertTrue(seqClassifierFlags0.separateASCIIandRange);\\n assertTrue(seqClassifierFlags0.applyNERPenalty);\\n assertFalse(seqClassifierFlags0.printTrainLabels);\\n assertFalse(seqClassifierFlags0.hardcodeSoftmaxOutputWeights);\\n assertFalse(seqClassifierFlags0.useBerkeleyAlignerForViterbi);\\n assertFalse(seqClassifierFlags0.lowercaseNGrams);\\n assertFalse(seqClassifierFlags0.useASBCPre1);\\n assertEquals(0.95, seqClassifierFlags0.adaDeltaRho, 0.01D);\\n assertEquals(1, seqClassifierFlags0.selfTrainWindowSize);\\n assertEquals(0.5, seqClassifierFlags0.alignmentDecodeThreshold, 0.01D);\\n assertFalse(seqClassifierFlags0.useABSTRFreq);\\n assertFalse(seqClassifierFlags0.dontExtendTaggy);\\n assertTrue(seqClassifierFlags0.useDenero);\\n assertTrue(seqClassifierFlags0.restrictLabels);\\n assertTrue(seqClassifierFlags0.keepOBInMemory);\\n assertFalse(seqClassifierFlags0.useChunkySequences);\\n assertFalse(seqClassifierFlags0.useInPlaceSGD);\\n assertFalse(seqClassifierFlags0.terminateOnAvgImprovement);\\n assertEquals(1.0, seqClassifierFlags0.sigma, 0.01D);\\n assertFalse(seqClassifierFlags0.useSemPrior);\\n assertFalse(seqClassifierFlags0.numberEquivalenceDistSim);\\n assertFalse(seqClassifierFlags0.useHuber);\\n assertFalse(seqClassifierFlags0.strictlyThirdOrder);\\n assertFalse(seqClassifierFlags0.strictlyFirstOrder);\\n assertTrue(seqClassifierFlags0.useExternal);\\n assertFalse(seqClassifierFlags0.weightByEntropy);\\n assertFalse(seqClassifierFlags0.augmentedDateChars);\\n assertFalse(seqClassifierFlags0.useSMD);\\n assertFalse(seqClassifierFlags0.initWithNERPosterior);\\n assertFalse(seqClassifierFlags0.useFeaturesCpC5gram);\\n assertFalse(seqClassifierFlags0.announceObjectBankEntries);\\n assertFalse(seqClassifierFlags0.useLemmaAsWord);\\n assertFalse(seqClassifierFlags0.geDebug);\\n assertFalse(seqClassifierFlags0.useGEforSup);\\n assertFalse(seqClassifierFlags0.useUnicodeType5gram);\\n assertEquals(0, seqClassifierFlags0.interimOutputFreq);\\n assertEquals(100, seqClassifierFlags0.numSamples);\\n assertFalse(seqClassifierFlags0.useANTE);\\n assertFalse(seqClassifierFlags0.gradientDebug);\\n assertFalse(seqClassifierFlags0.usePhraseWords);\\n assertFalse(seqClassifierFlags0.verboseForTrueCasing);\\n assertTrue(seqClassifierFlags0.useOutputLayer);\\n assertTrue(seqClassifierFlags0.biAlignmentPriorIsPMI);\\n assertFalse(seqClassifierFlags0.useBig5);\\n assertFalse(seqClassifierFlags0.useYetMoreCpCShapes);\\n assertFalse(seqClassifierFlags0.useFilter);\\n assertFalse(seqClassifierFlags0.useAdaDelta);\\n assertEquals(0, seqClassifierFlags0.featureCountThresh);\\n assertFalse(seqClassifierFlags0.useUnicodeType);\\n assertFalse(seqClassifierFlags0.estimateInitial);\\n assertEquals((-1), seqClassifierFlags0.labelDictionaryCutoff);\\n assertEquals(8, seqClassifierFlags0.distSimMaxBits);\\n assertFalse(seqClassifierFlags0.pctSegmenterScaleByCRF);\\n assertFalse(seqClassifierFlags0.useNextVB);\\n assertFalse(seqClassifierFlags0.tieOutputLayer);\\n assertEquals((-1), seqClassifierFlags0.numHiddenUnits);\\n assertFalse(seqClassifierFlags0.saveFeatureIndexToDisk);\\n assertFalse(seqClassifierFlags0.useGENIA);\\n assertFalse(seqClassifierFlags0.useUniformPrior);\\n assertFalse(seqClassifierFlags0.printFirstOrderProbs);\\n assertEquals(1, seqClassifierFlags0.numStartLayers);\\n assertFalse(seqClassifierFlags0.booleanFeatures);\\n assertFalse(seqClassifierFlags0.useTOK);\\n assertEquals(0, seqClassifierFlags0.maxRight);\\n assertFalse(seqClassifierFlags0.useABGENE);\\n assertFalse(seqClassifierFlags0.use2W);\\n assertEquals(2, seqClassifierFlags0.maxLeft);\\n assertEquals(10, seqClassifierFlags0.wideDisjunctionWidth);\\n assertFalse(seqClassifierFlags0.useWordUTypeConjunctions3);\\n assertFalse(seqClassifierFlags0.cleanGazette);\\n assertTrue(seqClassifierFlags0.includeC2EViterbi);\\n assertFalse(seqClassifierFlags0.secondOrderNonLinear);\\n assertFalse(seqClassifierFlags0.useWordUTypeConjunctions2);\\n assertFalse(seqClassifierFlags0.usePKSuf1);\\n assertFalse(seqClassifierFlags0.alternateTraining);\\n assertFalse(seqClassifierFlags0.useHKChar2);\\n assertTrue(seqClassifierFlags0.useKnownLCWords);\\n assertTrue(seqClassifierFlags0.useViterbi);\\n assertEquals(Integer.MAX_VALUE, seqClassifierFlags0.printFeaturesUpto);\\n assertFalse(seqClassifierFlags0.useFirstWord);\\n assertFalse(seqClassifierFlags0.usePrevVB);\\n assertFalse(seqClassifierFlags0.useEitherSideWord);\\n assertFalse(seqClassifierFlags0.usePKPre1);\\n assertFalse(seqClassifierFlags0.useRad1);\\n assertTrue(seqClassifierFlags0.splitDocuments);\\n assertFalse(seqClassifierFlags0.doFeatureDiscovery);\\n assertFalse(seqClassifierFlags0.lowerNewgeneThreshold);\\n assertEquals(1, seqClassifierFlags0.nerSlowerTimes);\\n assertFalse(seqClassifierFlags0.useCWSWordFeaturesAll);\\n assertFalse(seqClassifierFlags0.useNeighborNGrams);\\n assertTrue(seqClassifierFlags0.useWord);\\n assertFalse(seqClassifierFlags0.useTaggySequencesShapeInteraction);\\n assertFalse(seqClassifierFlags0.iobTags);\\n assertFalse(seqClassifierFlags0.useSequentialScanSampling);\\n assertFalse(seqClassifierFlags0.useSGD);\\n assertFalse(seqClassifierFlags0.useBilingualNERPrior);\\n assertFalse(seqClassifierFlags0.useACR);\\n assertFalse(seqClassifierFlags0.suppressTestDebug);\\n assertFalse(seqClassifierFlags0.useAdaDiff);\\n assertFalse(seqClassifierFlags0.pctSegmenterLenAdjust);\\n assertFalse(seqClassifierFlags0.usePhraseFeatures);\\n assertFalse(seqClassifierFlags0.useFeaturesCpC6gram);\\n assertFalse(seqClassifierFlags0.dualDecompDebug);\\n assertFalse(seqClassifierFlags0.useBigramInTwoClique);\\n assertFalse(seqClassifierFlags0.testObjFunction);\\n assertEquals(0, seqClassifierFlags0.featureCountThreshold);\\n assertFalse(seqClassifierFlags0.useOccurrencePatterns);\\n assertEquals(0, seqClassifierFlags0.maxQNItr);\\n assertFalse(seqClassifierFlags0.factorInAlignmentProb);\\n assertFalse(seqClassifierFlags0.useKBest);\\n assertTrue(seqClassifierFlags0.averagePerceptron);\\n assertEquals(15, seqClassifierFlags0.stochasticBatchSize);\\n assertEquals(0.0, seqClassifierFlags0.annealingRate, 0.01D);\\n assertFalse(seqClassifierFlags0.useRad2);\\n assertEquals(0, seqClassifierFlags0.ocrFold);\\n assertFalse(seqClassifierFlags0.backpropLopTraining);\\n assertFalse(seqClassifierFlags0.useProtoFeatures);\\n assertEquals((-1), seqClassifierFlags0.maxIterations);\\n assertFalse(seqClassifierFlags0.useExtraTaggySequences);\\n assertFalse(seqClassifierFlags0.useNegASBCDict2);\\n assertFalse(seqClassifierFlags0.usePrediction);\\n assertFalse(seqClassifierFlags0.useTaggySequences);\\n assertFalse(seqClassifierFlags0.useWordShapeConjunctions2);\\n assertFalse(seqClassifierFlags0.useWordShapeConjunctions3);\\n assertEquals(3, seqClassifierFlags0.charHalfWindow);\\n assertFalse(seqClassifierFlags0.useOnlySeenWeights);\\n assertFalse(seqClassifierFlags0.useEntityTypes);\\n assertFalse(seqClassifierFlags0.useLabelSource);\\n assertFalse(seqClassifierFlags0.twoStage);\\n assertTrue(seqClassifierFlags0.initWithPosterior);\\n assertFalse(seqClassifierFlags0.useCWSWordFeatures);\\n assertFalse(seqClassifierFlags0.useHeadGov);\\n assertFalse(seqClassifierFlags0.useNegASBCDict3);\\n assertEquals(0, seqClassifierFlags0.removeTopN);\\n assertFalse(seqClassifierFlags0.useNegASBCDict4);\\n assertFalse(seqClassifierFlags0.useRandomSeed);\\n assertFalse(seqClassifierFlags0.groupByOutputClass);\\n assertFalse(seqClassifierFlags0.powerAlignProbAsAddition);\\n assertFalse(seqClassifierFlags0.useFeaturesC6gram);\\n assertFalse(seqClassifierFlags0.conjoinShapeNGrams);\\n assertFalse(seqClassifierFlags0.factorInBiEdgePotential);\\n assertFalse(seqClassifierFlags0.strictGoodCoNLL);\\n assertFalse(seqClassifierFlags0.doGibbs);\\n assertEquals(0, seqClassifierFlags0.scaledSGDMethod);\\n assertFalse(seqClassifierFlags0.useCTBChar2);\\n assertFalse(seqClassifierFlags0.useFeaturesC5gram);\\n assertEquals(1.0, seqClassifierFlags0.lambdaCH, 0.01D);\\n assertFalse(seqClassifierFlags0.perceptronDebug);\\n assertFalse(seqClassifierFlags0.useShapeStrings3);\\n assertFalse(seqClassifierFlags0.useShapeStrings1);\\n assertFalse(seqClassifierFlags0.useWordTag);\\n assertFalse(seqClassifierFlags0.matchNERIncentive);\\n assertFalse(seqClassifierFlags0.useShapeStrings5);\\n assertFalse(seqClassifierFlags0.useWordnetFeatures);\\n assertFalse(seqClassifierFlags0.useShapeStrings4);\\n assertEquals(0.001, seqClassifierFlags0.adaGradEps, 0.01D);\\n assertFalse(seqClassifierFlags0.useShapeStrings);\\n assertEquals(1.0, seqClassifierFlags0.randomizedRatio, 0.01D);\\n assertFalse(seqClassifierFlags0.learnENBasedOnCH);\\n assertFalse(seqClassifierFlags0.checkNameList);\\n assertFalse(seqClassifierFlags0.useYear);\\n assertEquals(0.0, seqClassifierFlags0.priorAlpha, 0.01D);\\n assertFalse(seqClassifierFlags0.useAbbr);\\n assertFalse(seqClassifierFlags0.appendLC);\\n assertFalse(seqClassifierFlags0.useObservedFeaturesOnly);\\n assertFalse(seqClassifierFlags0.useEmbedding);\\n assertFalse(seqClassifierFlags0.useNegDict2);\\n assertFalse(seqClassifierFlags0.useEntityRule);\\n assertFalse(seqClassifierFlags0.randomLopWeights);\\n assertEquals(0, seqClassifierFlags0.nerSkipFirstK);\\n assertFalse(seqClassifierFlags0.noEdgeFeature);\\n assertFalse(seqClassifierFlags0.keepEnglishWhitespaces);\\n assertEquals(1, seqClassifierFlags0.numLopExpert);\\n assertFalse(seqClassifierFlags0.useCTBPre1);\\n assertFalse(seqClassifierFlags0.useASBCChar2);\\n assertFalse(seqClassifierFlags0.checkGradient);\\n assertFalse(seqClassifierFlags0.useTags);\\n assertFalse(seqClassifierFlags0.useNegDict3);\\n assertFalse(seqClassifierFlags0.sloppyGazette);\\n assertFalse(seqClassifierFlags0.useNegDict4);\\n assertFalse(seqClassifierFlags0.skipOutputRegularization);\\n assertFalse(seqClassifierFlags0.useGenericFeatures);\\n assertEquals(1, seqClassifierFlags0.selfTrainIterations);\\n assertEquals(1, seqClassifierFlags0.multiThreadPerceptron);\\n assertFalse(seqClassifierFlags0.keepEmptySentences);\\n assertFalse(seqClassifierFlags0.sparseOutputLayer);\\n assertFalse(seqClassifierFlags0.useHKSuf1);\\n assertEquals(0.01, seqClassifierFlags0.epsilon, 0.01D);\\n assertFalse(seqClassifierFlags0.useGazettePhrases);\\n assertFalse(seqClassifierFlags0.useMSRChar2);\\n assertFalse(seqClassifierFlags0.printLabelValue);\\n assertFalse(seqClassifierFlags0.useNERPriorBIO);\\n assertEquals(0, seqClassifierFlags0.evaluateIters);\\n assertFalse(seqClassifierFlags0.lazyUpdate);\\n assertEquals(1, seqClassifierFlags0.CRForder);\\n assertFalse(seqClassifierFlags0.useDictHK2);\\n assertFalse(seqClassifierFlags0.useABSTRFreqDict);\\n assertFalse(seqClassifierFlags0.purgeDatasets);\\n assertFalse(seqClassifierFlags0.timitDatum);\\n assertFalse(seqClassifierFlags0.addCapitalFeatures);\\n assertEquals(0.0, seqClassifierFlags0.featureWeightThreshold, 0.01D);\\n assertFalse(seqClassifierFlags0.makeConsistent);\\n assertFalse(seqClassifierFlags0.useFeaturesC4gram);\\n assertFalse(seqClassifierFlags0.useDictASBC2);\\n assertEquals(2, seqClassifierFlags0.CRFwindow);\\n assertFalse(seqClassifierFlags0.doFE);\\n assertFalse(seqClassifierFlags0.useFeaturesCpC4gram);\\n assertFalse(seqClassifierFlags0.useClassFeature);\\n assertFalse(seqClassifierFlags0.useMsr);\\n assertFalse(seqClassifierFlags0.useReverseAffix);\\n assertEquals((-1), seqClassifierFlags0.purgeFeatures);\\n assertFalse(seqClassifierFlags0.useIsURL);\\n assertFalse(seqClassifierFlags0.useIsDateRange);\\n assertEquals(0.1, seqClassifierFlags0.dualDecompInitialStepSizeAlignment, 0.01D);\\n assertEquals(Double.POSITIVE_INFINITY, seqClassifierFlags0.searchGraphPrune, 0.01D);\\n assertFalse(seqClassifierFlags0.usePrevSequences);\\n assertFalse(seqClassifierFlags0.useGazFeatures);\\n assertFalse(seqClassifierFlags0.intern);\\n assertFalse(seqClassifierFlags0.useMidDotShape);\\n assertFalse(seqClassifierFlags0.selfTest);\\n assertFalse(seqClassifierFlags0.printProbs);\\n assertEquals(0, seqClassifierFlags0.startEvaluateIters);\\n assertTrue(seqClassifierFlags0.useCWSFeatures);\\n assertFalse(seqClassifierFlags0.useCWSWordFeaturesBigram);\\n assertEquals(1, seqClassifierFlags0.multiThreadGrad);\\n assertFalse(seqClassifierFlags0.useRobustQN);\\n assertTrue(seqClassifierFlags0.useInternal);\\n assertFalse(seqClassifierFlags0.useDualDecomp);\\n assertEquals(1, seqClassifierFlags0.terminateOnEvalImprovementNumOfEpoch);\\n assertFalse(seqClassifierFlags0.useNegPKDict3);\\n assertEquals(1.0, seqClassifierFlags0.alignDDAlpha, 0.01D);\\n assertFalse(seqClassifierFlags0.useNegPKDict4);\\n assertFalse(seqClassifierFlags0.dampDDStepSizeWithAlignmentProb);\\n assertEquals(1, seqClassifierFlags0.featureThreshold);\\n assertFalse(seqClassifierFlags0.useRule);\\n assertFalse(seqClassifierFlags0.useNPHead);\\n assertFalse(seqClassifierFlags0.useNegPKDict2);\\n assertFalse(seqClassifierFlags0.usePhraseWordSpecialTags);\\n assertEquals(0.0, seqClassifierFlags0.featureDiffThresh, 0.01D);\\n assertEquals(1, seqClassifierFlags0.numDatasetsPerFile);\\n assertFalse(seqClassifierFlags0.useBerkeleyCompetitivePosterior);\\n assertFalse(seqClassifierFlags0.useObservedSequencesOnly);\\n assertFalse(seqClassifierFlags0.useAltGazFeatures);\\n assertFalse(seqClassifierFlags0.usePrevNextLemmas);\\n assertFalse(seqClassifierFlags0.useChromaticSampling);\\n assertFalse(seqClassifierFlags0.justify);\\n assertFalse(seqClassifierFlags0.useCTBSuf1);\\n assertEquals(1, seqClassifierFlags0.numRuns);\\n assertFalse(seqClassifierFlags0.dualDecompNotBIO);\\n assertEquals(0.0, seqClassifierFlags0.newgeneThreshold, 0.01D);\\n assertFalse(seqClassifierFlags0.useDistSim);\\n assertFalse(seqClassifierFlags0.useNext);\\n assertFalse(seqClassifierFlags0.useUnknown);\\n assertFalse(seqClassifierFlags0.iobWrapper);\\n assertFalse(seqClassifierFlags0.useHKPre1);\\n assertEquals(1, seqClassifierFlags0.bisequencePriorType);\\n assertEquals(1.0, seqClassifierFlags0.adaptSigma, 0.01D);\\n assertEquals(1.0, seqClassifierFlags0.lambdaEN, 0.01D);\\n assertEquals((-1), seqClassifierFlags0.tuneSampleSize);\\n assertEquals(4, seqClassifierFlags0.disjunctionWidth);\\n \\n String string0 = JSONObject.numberToString((Number) 0.95);\\n assertNotNull(string0);\\n assertEquals(\\\"0.95\\\", string0);\\n \\n JSONObject jSONObject0 = null;\\n try {\\n jSONObject0 = new JSONObject((String) null);\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"15d102011712f47864c431823db9db6e\",\n \"score\": \"0.58432657\",\n \"text\": \"private static void runTestCWE6() {\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a86bd50bed03457ba46fb2b96425daaa\",\n \"score\": \"0.5837373\",\n \"text\": \"@Test(timeout = 4000)\\n public void test23() throws Throwable {\\n JRip jRip0 = new JRip();\\n jRip0.toString();\\n Attribute attribute0 = new Attribute(\\\"{\\\", 2296);\\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\\n double[] doubleArray0 = new double[4];\\n doubleArray0[0] = (double) 1;\\n doubleArray0[1] = (double) 4;\\n doubleArray0[2] = 559.9;\\n doubleArray0[3] = (double) 2;\\n SparseInstance sparseInstance0 = new SparseInstance(559.9, doubleArray0);\\n jRip_NominalAntd0.covers(sparseInstance0);\\n jRip_NominalAntd0.getAttrValue();\\n Attribute attribute1 = jRip_NominalAntd0.getAttr();\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n attribute1.setWeight(0.0);\\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\\n jRip_RipperRule0.setConsequent((-945.575));\\n JRip jRip1 = new JRip();\\n JRip.RipperRule jRip_RipperRule1 = jRip1.new RipperRule();\\n jRip_RipperRule0.hasAntds();\\n jRip_RipperRule0.covers(sparseInstance0);\\n assertEquals((-945.575), jRip_RipperRule0.getConsequent(), 0.01);\\n \\n jRip_NominalAntd0.getCover();\\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute1);\\n jRip_NumericAntd0.copy();\\n boolean boolean0 = jRip_NumericAntd0.covers(sparseInstance0);\\n assertTrue(boolean0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b32732975c9fa518af156356bd3793e\",\n \"score\": \"0.58370423\",\n \"text\": \"@Test(timeout = 4000)\\n public void test050() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n resultMatrixSignificance0.m_RowNameWidth = 2;\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n resultMatrixSignificance0.LOSS_STRING = \\\"mean-width\\\";\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n resultMatrixSignificance0.setCountWidth((-9));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n String string0 = resultMatrixSignificance0.toStringMatrix();\\n assertEquals(\\\"Da (1)\\\\n--------------------\\\\nro \\\\n\\\", string0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(string0);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n resultMatrixSignificance0.setPrintRowNames(false);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixHTML0);\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n \\n String string1 = resultMatrixSignificance0.enumerateRowNamesTipText();\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", string1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(string1.equals((Object)string0));\\n assertNotNull(string1);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"629b3174174569c5a4cba37d18168b56\",\n \"score\": \"0.5836263\",\n \"text\": \"@Test(timeout = 4000)\\n public void test041() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n \\n int[] intArray0 = new int[4];\\n intArray0[0] = 0;\\n intArray0[1] = 0;\\n intArray0[2] = 0;\\n intArray0[3] = 0;\\n int[] intArray1 = new int[7];\\n assertFalse(intArray1.equals((Object)intArray0));\\n \\n intArray1[0] = 1;\\n intArray1[2] = 2;\\n intArray1[4] = 0;\\n intArray1[5] = 1;\\n intArray0[3] = 2;\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n \\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\";\\n stringArray0[1] = \\\" \\\";\\n resultMatrixGnuPlot0.m_ColNames = stringArray0;\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n \\n resultMatrixGnuPlot0.setRowName(0, \\\"\\\");\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixCSV0);\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\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.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n \\n int[] intArray2 = new int[1];\\n assertFalse(intArray2.equals((Object)intArray0));\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = (-358);\\n resultMatrixCSV0.setRowOrder(intArray2);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(intArray2.equals((Object)intArray0));\\n assertFalse(intArray2.equals((Object)intArray1));\\n assertNotSame(intArray2, intArray0);\\n assertNotSame(intArray2, intArray1);\\n assertEquals(1, intArray2.length);\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\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.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertArrayEquals(new int[] {(-358)}, intArray2);\\n \\n String string0 = resultMatrixCSV0.globalInfo();\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", string0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(string0);\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\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.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n \\n boolean boolean0 = resultMatrixGnuPlot0.getRowHidden(2);\\n assertFalse(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n \\n boolean boolean1 = resultMatrixSignificance0.isStdDev(1);\\n assertFalse(boolean1);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertTrue(boolean1 == boolean0);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"271c0d4f22298072283217038fd5e0ab\",\n \"score\": \"0.5835428\",\n \"text\": \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n FileSystemHandling fileSystemHandling0 = new FileSystemHandling();\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n ZeroR zeroR0 = new ZeroR();\\n MultiClassClassifier multiClassClassifier0 = new MultiClassClassifier();\\n Evaluation.main(testInstances0.DEFAULT_WORDS);\\n evaluation0.KBRelativeInformation();\\n Evaluation.makeOptionString(multiClassClassifier0, true);\\n FilteredClusterer filteredClusterer0 = new FilteredClusterer();\\n evaluation0.toClassDetailsString();\\n // Undeclared exception!\\n try { \\n evaluation0.fMeasure(2);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 2\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"33a6bd2355d02767615fde7e7d4c8946\",\n \"score\": \"0.58326256\",\n \"text\": \"@Test\\n\\tpublic void capTest31() {\\n\\t\\tassertTrue(JunitTester.canCaptureTest(yellowKingBoard, 4, 0));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ee73cb91df29435fab1313bb7a448295\",\n \"score\": \"0.582313\",\n \"text\": \"@Test(timeout = 4000)\\n public void test054() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixSignificance0);\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(2, 0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n \\n resultMatrixPlainText0.clearSummary();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(2, 0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\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 assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\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.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n assertNotNull(resultMatrixGnuPlot1);\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n \\n resultMatrixGnuPlot1.setRowName(3, (String) null);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(1, 0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixCSV0);\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\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.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n \\n int[] intArray0 = new int[5];\\n intArray0[0] = 1;\\n intArray0[1] = 0;\\n intArray0[2] = (-358);\\n intArray0[3] = 0;\\n intArray0[4] = 1;\\n resultMatrixCSV0.setRowOrder(intArray0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(5, intArray0.length);\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\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.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertArrayEquals(new int[] {1, 0, (-358), 0, 1}, intArray0);\\n \\n String string0 = resultMatrixCSV0.globalInfo();\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(string0);\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\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.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n \\n boolean boolean0 = resultMatrixGnuPlot0.getRowHidden(0);\\n assertFalse(boolean0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\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 assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\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.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d02f338502a675ab2ec0ee30aefb6aa6\",\n \"score\": \"0.5821382\",\n \"text\": \"private static void runTestCWE5() {\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5fdd8dcd73346d27c355efb362e795a9\",\n \"score\": \"0.58207947\",\n \"text\": \"private static void runTestCWE4() {\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"82bc74e3f934d03f718e41fb80e76788\",\n \"score\": \"0.5818756\",\n \"text\": \"@Test(timeout = 4000)\\n public void test139() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n int[][] intArray0 = new int[3][2];\\n resultMatrixSignificance0.m_ShowStdDev = false;\\n resultMatrixSignificance0.m_NonSigWins = intArray0;\\n int[] intArray1 = new int[4];\\n intArray1[0] = 0;\\n intArray1[1] = 0;\\n intArray1[2] = 0;\\n intArray1[3] = 0;\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[7];\\n intArray2[0] = 1;\\n intArray2[1] = 1;\\n intArray2[2] = 2;\\n intArray2[6] = 2;\\n intArray2[4] = 0;\\n resultMatrixSignificance0.getRowName(2138);\\n intArray2[5] = 1;\\n intArray2[6] = 2;\\n intArray0[1] = intArray2;\\n int[] intArray3 = new int[6];\\n intArray3[1] = 0;\\n intArray3[2] = 0;\\n intArray3[3] = 0;\\n intArray3[4] = 1;\\n intArray0[2] = intArray3;\\n resultMatrixSignificance0.setSummary(intArray0, intArray0);\\n resultMatrixSignificance0.setPrintRowNames(false);\\n resultMatrixSignificance0.getDisplayName();\\n boolean boolean0 = resultMatrixSignificance0.isSignificance(3);\\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(boolean0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78701295ffbbdc8b3b074f2b0de7f434\",\n \"score\": \"0.5816353\",\n \"text\": \"@Test(timeout = 4000)\\n public void test178() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n resultMatrixSignificance0.m_RowNameWidth = 2;\\n resultMatrixSignificance0.LOSS_STRING = \\\"mean-width\\\";\\n resultMatrixSignificance0.setCountWidth(0);\\n resultMatrixSignificance0.setStdDevPrec(0);\\n resultMatrixSignificance0.addHeader(\\\"\\\", \\\"\\\");\\n assertEquals(0, resultMatrixSignificance0.getStdDevPrec());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7354252840c6b234317288afa3e83e04\",\n \"score\": \"0.5813751\",\n \"text\": \"@Test(timeout = 4000)\\n public void test30() throws Throwable {\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n ArrayList<Locale.LanguageRange> arrayList0 = new ArrayList<Locale.LanguageRange>();\\n LinkedList<Locale.LanguageRange> linkedList0 = new LinkedList<Locale.LanguageRange>();\\n LinkedList<String> linkedList1 = new LinkedList<String>();\\n Locale.filterTags((List<Locale.LanguageRange>) arrayList0, (Collection<String>) linkedList1);\\n ArrayList<Locale.LanguageRange> arrayList1 = new ArrayList<Locale.LanguageRange>();\\n List<String> list0 = Locale.filterTags((List<Locale.LanguageRange>) arrayList1, (Collection<String>) null);\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n Attribute attribute0 = new Attribute(\\\"\\\", list0, protectedProperties0);\\n JRip jRip0 = new JRip();\\n JRip jRip1 = new JRip();\\n JRip.RipperRule jRip_RipperRule0 = jRip1.new RipperRule();\\n jRip1.getCapabilities();\\n jRip_RipperRule0.setConsequent(4);\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"$Revision: 8181 $\\\");\\n JRip.RipperRule jRip_RipperRule1 = jRip1.new RipperRule();\\n jRip_RipperRule0.hasAntds();\\n assertEquals(4.0, jRip_RipperRule0.getConsequent(), 0.01);\\n \\n JRip.NominalAntd jRip_NominalAntd0 = jRip1.new NominalAntd(attribute0);\\n ArrayList<Attribute> arrayList2 = new ArrayList<Attribute>();\\n Instances instances0 = new Instances(\\\"integer\\\", arrayList2, 3);\\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute0);\\n jRip_NumericAntd0.splitData(instances0, 3, (-917.2587814));\\n assertEquals(Double.NaN, jRip_NumericAntd0.getSplitPoint(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed72b57be874d28fc87a7941161036d9\",\n \"score\": \"0.581331\",\n \"text\": \"public void testScenario2() {\\n \\n \\n // Create data table to display to overview report\\n // define success criteria\\n// Criteria outgo = new FinancialOutGo();\\n \\n \\n // Need to determine core data to return\\n \\n // Determine total debt\\n \\n // Determine current monthly outgo or split out to the day\\n \\n // Need to collect data points. \\n \\n // Determines daily data points by collected data. For example, If only the \\n // the first and last day of a month. It would stand to reason that \\n // the progression of the values is linear. \\n \\n // Create mechanism to collect data\\n \\n // Nice future spot for external integrations\\n \\n // Need to indicate Pass / Fail on progress\\n \\n // If Fail Identify possible solutions : increase income, decrease spending\\n \\n // What is the cost to get caught up with being aligned with progressing \\n // to a successfull goal achievement. \\n \\n // Good indicator for Gap in timing or execution of plan\\n \\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"afa1c7bb9fba4037c720ffb0e08eb031\",\n \"score\": \"0.5810754\",\n \"text\": \"protected void doTest2002082101() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"401bfb7eba37ca44e7a6856242dfd44d\",\n \"score\": \"0.58076984\",\n \"text\": \"@Test(timeout = 4000)\\n public void test20() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n int int0 = resultMatrixSignificance0.getDefaultRowNameWidth();\\n assertEquals(40, int0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n String string0 = resultMatrixSignificance0.doubleToString(0.0, 0);\\n assertEquals(\\\"0.\\\", string0);\\n assertNotNull(string0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\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 assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n \\n String string1 = resultMatrixGnuPlot0.toStringRanking();\\n assertEquals(\\\"-ranking data not set-\\\", string1);\\n assertNotNull(string1);\\n assertFalse(string1.equals((Object)string0));\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n \\n int[] intArray0 = new int[2];\\n intArray0[0] = 1;\\n resultMatrixGnuPlot0.setRowNameWidth((-399));\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n \\n int int1 = resultMatrixGnuPlot0.getStdDevPrec();\\n assertEquals(2, int1);\\n assertFalse(int1 == int0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"08620d3bb5f5bda8a66d9fb8206e0ad6\",\n \"score\": \"0.58048075\",\n \"text\": \"@Test(timeout = 4000)\\n public void test113() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n \\n int[][] intArray0 = new int[3][2];\\n int[] intArray1 = new int[4];\\n intArray1[0] = 0;\\n intArray1[1] = 0;\\n intArray1[2] = 0;\\n intArray1[3] = 0;\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[7];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = 1;\\n intArray2[1] = 1;\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(0, 0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixHTML0);\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n \\n String string0 = resultMatrixHTML0.toStringKey();\\n assertEquals(\\\"<table border=\\\\\\\"1\\\\\\\" cellpadding=\\\\\\\"3\\\\\\\" cellspacing=\\\\\\\"0\\\\\\\">\\\\n <tr><td colspan=\\\\\\\"2\\\\\\\"><b>Key</b></td></tr>\\\\n</table>\\\\n\\\", string0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(string0);\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n \\n double double0 = resultMatrixHTML0.getAverage(4);\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n \\n int int0 = resultMatrixSignificance0.getColNameWidth();\\n assertEquals(0, int0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n \\n boolean boolean0 = resultMatrixHTML0.getColHidden((-794));\\n assertFalse(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n \\n ResultMatrixCSV resultMatrixCSV0 = null;\\n try {\\n resultMatrixCSV0 = new ResultMatrixCSV(1, (-3087));\\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\": \"70def4ca57bcb2db9400b4ca2e71db51\",\n \"score\": \"0.5800455\",\n \"text\": \"@Test(timeout = 4000)\\n public void test09() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n VotedPerceptron votedPerceptron0 = new VotedPerceptron();\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n cVParameterSelection0.setClassifier(votedPerceptron0);\\n Evaluation.makeOptionString(votedPerceptron0, false);\\n Evaluation evaluation1 = new Evaluation(instances0);\\n evaluation1.getHeader();\\n Evaluation evaluation2 = new Evaluation(instances0);\\n String string0 = evaluation2.toMatrixString();\\n assertEquals(\\\"=== Confusion Matrix ===\\\\n\\\\n a b <-- classified as\\\\n 0 0 | a = class1\\\\n 0 0 | b = class2\\\\n\\\", string0);\\n \\n double double0 = evaluation1.meanAbsoluteError();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation1.SFEntropyGain(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c85b65a0fd4a9438d698cbc5ccde2de0\",\n \"score\": \"0.57985675\",\n \"text\": \"@Test(timeout = 4000)\\n public void test046() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n \\n int[][] intArray0 = new int[3][2];\\n resultMatrixSignificance0.m_NonSigWins = intArray0;\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n \\n int[] intArray1 = new int[4];\\n intArray1[0] = 0;\\n intArray1[1] = 0;\\n intArray1[2] = 0;\\n intArray1[3] = 0;\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[7];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = 1;\\n intArray2[1] = 1;\\n intArray2[2] = 2;\\n intArray2[3] = 2;\\n intArray2[4] = 0;\\n String string0 = resultMatrixSignificance0.getRowName(2138);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNull(string0);\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n \\n intArray2[6] = 2;\\n intArray0[1] = intArray2;\\n int[] intArray3 = new int[6];\\n assertFalse(intArray3.equals((Object)intArray1));\\n assertFalse(intArray3.equals((Object)intArray2));\\n \\n intArray3[0] = 2;\\n intArray3[1] = 0;\\n intArray3[2] = 0;\\n intArray3[3] = 0;\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixLatex0);\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\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 \\n resultMatrixLatex0.setStdDev(1, (-2032), 4.8);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\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 }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9756b5db0f629edcae3f303be2fbb581\",\n \"score\": \"0.57952875\",\n \"text\": \"@Test(timeout = 4000)\\n public void test00() throws Throwable {\\n JRip jRip0 = new JRip();\\n LinkedList<Locale.LanguageRange> linkedList0 = new LinkedList<Locale.LanguageRange>();\\n Environment environment0 = new Environment();\\n Set<String> set0 = environment0.getVariableNames();\\n List<String> list0 = Locale.filterTags((List<Locale.LanguageRange>) linkedList0, (Collection<String>) set0);\\n Locale.FilteringMode locale_FilteringMode0 = Locale.FilteringMode.REJECT_EXTENDED_RANGES;\\n List<String> list1 = Locale.filterTags((List<Locale.LanguageRange>) linkedList0, (Collection<String>) list0, locale_FilteringMode0);\\n Attribute attribute0 = new Attribute(\\\"#w#-6'qw,\\\", list1, 0);\\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute0);\\n double double0 = jRip_NumericAntd0.getSplitPoint();\\n assertEquals(Double.NaN, jRip_NumericAntd0.getAttrValue(), 0.01);\\n assertEquals(Double.NaN, jRip_NumericAntd0.getCover(), 0.01);\\n assertEquals(Double.NaN, double0, 0.01);\\n assertFalse(jRip0.getDebug());\\n assertTrue(jRip0.getCheckErrorRate());\\n assertTrue(jRip0.getUsePruning());\\n assertEquals(2.0, jRip0.getMinNo(), 0.01);\\n assertEquals(1L, jRip0.getSeed());\\n assertEquals(3, jRip0.getFolds());\\n assertEquals(Double.NaN, jRip_NumericAntd0.getAccuRate(), 0.01);\\n assertEquals(Double.NaN, jRip_NumericAntd0.getAccu(), 0.01);\\n assertEquals(0.0, jRip_NumericAntd0.getMaxInfoGain(), 0.01);\\n assertEquals(2, jRip0.getOptimizations());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"113ddbd5c9c3c8256fd34d7eb5a259fb\",\n \"score\": \"0.579463\",\n \"text\": \"@Test(timeout = 4000)\\n public void test03() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.toString();\\n discretize0.useBinNumbersTipText();\\n discretize0.setBins(2928);\\n String[] stringArray0 = new String[4];\\n stringArray0[0] = \\\"Use bin numbers (eg BXofY) rather than ranges for for discretized attributes\\\";\\n stringArray0[1] = \\\"Use bin numbers (eg BXofY) rather than ranges for for discretized attributes\\\";\\n stringArray0[2] = \\\"weka.filters.unsupervised.attribute.Discretize\\\";\\n stringArray0[3] = \\\"Ur\\\";\\n discretize0.setOptions(stringArray0);\\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning((-2100));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bda057290628cb35827533acc71fc6e6\",\n \"score\": \"0.57937634\",\n \"text\": \"@Test(timeout = 4000)\\n public void test029() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n \\n int[][] intArray0 = new int[3][2];\\n resultMatrixSignificance0.m_NonSigWins = intArray0;\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n \\n int[] intArray1 = new int[4];\\n intArray1[0] = 0;\\n intArray1[1] = 0;\\n intArray1[2] = 0;\\n intArray1[3] = 0;\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[7];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = 1;\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(0, 2);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixHTML0);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n \\n resultMatrixSignificance0.setColNameWidth(2);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getColNameWidth());\\n \\n String string0 = resultMatrixHTML0.getSummaryTitle(3);\\n assertEquals(\\\"d\\\", string0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(string0);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixHTML0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\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(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\\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.getShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n \\n resultMatrixLatex0.setRemoveFilterName(false);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\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(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\\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.getShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n \\n resultMatrixHTML0.setRowHidden(2679, true);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n \\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\\n assertNotNull(resultMatrixSignificance1);\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance1.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance1.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance1.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance1.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance1.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance1.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance1.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance1.getColCount());\\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance1.showStdDevTipText());\\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance1.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance1.globalInfo());\\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance1.getDisplayName());\\n assertFalse(resultMatrixSignificance1.getShowStdDev());\\n assertFalse(resultMatrixSignificance1.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance1.rowNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance1.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance1.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\\n \\n resultMatrixSignificance1.assign(resultMatrixLatex0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\\n assertNotSame(resultMatrixSignificance1, resultMatrixSignificance0);\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance1.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance1.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\\n assertEquals(0, resultMatrixSignificance1.getColCount());\\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance1.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance1.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance1.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance1.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance1.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance1.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\\n assertEquals(2, resultMatrixSignificance1.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance1.globalInfo());\\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance1.getDisplayName());\\n assertFalse(resultMatrixSignificance1.getShowStdDev());\\n assertFalse(resultMatrixSignificance1.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance1.rowNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance1.significanceWidthTipText());\\n assertEquals(25, resultMatrixSignificance1.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance1.getPrintColNames());\\n assertEquals(2, resultMatrixSignificance1.getRowCount());\\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance1.getVisibleColCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\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(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\\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.getShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixHTML0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\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 assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getColCount());\\n assertEquals(2, resultMatrixPlainText0.getRowCount());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n \\n boolean boolean0 = resultMatrixHTML0.getColHidden(3);\\n assertFalse(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a704bc7a652b51012e82c4fec7d817be\",\n \"score\": \"0.5793588\",\n \"text\": \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n JRip jRip0 = new JRip();\\n jRip0.toString();\\n Attribute attribute0 = new Attribute(\\\"{\\\", 2287);\\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\\n double[] doubleArray0 = new double[4];\\n doubleArray0[0] = (double) 1;\\n doubleArray0[1] = (double) 4;\\n doubleArray0[2] = 559.9;\\n doubleArray0[3] = (double) 2;\\n SparseInstance sparseInstance0 = new SparseInstance(559.9, doubleArray0);\\n jRip_NominalAntd0.covers(sparseInstance0);\\n jRip_NominalAntd0.getAttrValue();\\n Attribute attribute1 = jRip_NominalAntd0.getAttr();\\n attribute1.setWeight(0.0);\\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\\n jRip_RipperRule0.setConsequent((-945.575));\\n jRip0.listOptions();\\n jRip0.listOptions();\\n jRip_RipperRule0.size();\\n jRip0.getFolds();\\n CoverTree coverTree0 = new CoverTree();\\n try { \\n coverTree0.kNearestNeighbours(sparseInstance0, 0);\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"70c42a2679213cacbb0b37826da6b684\",\n \"score\": \"0.57917315\",\n \"text\": \"@Test(timeout = 4000)\\n public void test146() throws Throwable {\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixHTML0);\\n resultMatrixHTML0.TIE_STRING = \\\"(\\\";\\n resultMatrixLatex0.getStdDev(0, 25);\\n resultMatrixLatex0.setStdDev(3911, 85, 0);\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(69, 3911);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"35cd538a6dfa956e9edc60a441a1df05\",\n \"score\": \"0.5789173\",\n \"text\": \"@Test(timeout = 4000)\\n public void test03() throws Throwable {\\n Evaluation.handleCostOption(\\\"\\\", 0);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Vector<NaiveBayesMultinomial> vector0 = new Vector<NaiveBayesMultinomial>();\\n instances0.removeAll(vector0);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.equals(textDirectoryLoader0);\\n boolean boolean0 = evaluation0.equals(vector0);\\n assertFalse(boolean0);\\n \\n double double0 = evaluation0.numTrueNegatives(2);\\n assertEquals(0.0, double0, 0.01);\\n \\n double double1 = evaluation0.SFPriorEntropy();\\n assertEquals(0.0, double1, 0.01);\\n \\n double double2 = evaluation0.numTruePositives(117);\\n assertEquals(double2, double0, 0.01);\\n assertEquals(0.0, double2, 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"558baa80aa4465c6574ae8c825e7d2a3\",\n \"score\": \"0.57849795\",\n \"text\": \"@Test\\n\\tpublic void capTest29() {\\n\\t\\tassertFalse(JunitTester.canCaptureTest(yellowKingBoard, 6, 1));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"164af46fe9269683c67cb04e242c6425\",\n \"score\": \"0.5783373\",\n \"text\": \"private static void runTestCWE9() {\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"de85637d4ba7288bbfe026e9c2e0671d\",\n \"score\": \"0.5781775\",\n \"text\": \"@Test(timeout = 4000)\\n public void test159() throws Throwable {\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixCSV0);\\n String[] stringArray0 = resultMatrixSignificance0.getOptions();\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(18, stringArray0.length);\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7d34fb3013ba79023fc4370aa107f7e5\",\n \"score\": \"0.578105\",\n \"text\": \"private static void runTestCWE7() {\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6261d11dbf2f5553e9c1de2b553f05e5\",\n \"score\": \"0.5780748\",\n \"text\": \"@Test\\n\\tpublic void capTest36() {\\n\\t\\tassertFalse(JunitTester.canCaptureTest(yellowKingvsKingBoard, 1, 6));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ffd331a681428f40b851c278e572249d\",\n \"score\": \"0.57804203\",\n \"text\": \"@Test(timeout = 4000)\\n public void test015() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixSignificance0);\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(2, 0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixPlainText0);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n \\n resultMatrixPlainText0.clearSummary();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixPlainText0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixLatex0);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(5, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\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(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n \\n String string0 = resultMatrixLatex0.padString(\\\"`tptE~4dE!l$&j$b\\\", 0, false);\\n assertEquals(\\\"`tptE~4dE!l$&j$b\\\", string0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(string0);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(5, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\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(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixPlainText0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixCSV0);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\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 counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(5, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixCSV0.getPrintColNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n \\n boolean boolean0 = resultMatrixCSV0.getDefaultEnumerateColNames();\\n assertTrue(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\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 counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(5, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixCSV0.getPrintColNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n \\n String[] stringArray0 = new String[3];\\n stringArray0[0] = \\\"(\\\";\\n stringArray0[1] = \\\")\\\";\\n stringArray0[2] = null;\\n ResultMatrixCSV.main(stringArray0);\\n assertEquals(3, stringArray0.length);\\n \\n resultMatrixLatex0.setColName(0, \\\")\\\");\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(5, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\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(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n \\n int int0 = resultMatrixLatex0.getSignificanceCount(0, (-752));\\n assertEquals(0, int0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(5, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\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(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n \\n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\\n assertNotNull(resultMatrixLatex1);\\n assertTrue(resultMatrixLatex1.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex1.showAverageTipText());\\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex1.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex1.countWidthTipText());\\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex1.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex1.getCountWidth());\\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex1.colNameWidthTipText());\\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixLatex1.getVisibleColCount());\\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixLatex1.getVisibleRowCount());\\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\\n assertEquals(1, resultMatrixLatex1.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\\n assertFalse(resultMatrixLatex1.getPrintColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex1.getDisplayName());\\n assertEquals(1, resultMatrixLatex1.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex1.meanWidthTipText());\\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex1.showStdDevTipText());\\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex1.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\\n assertEquals(0, resultMatrixLatex1.getRowNameWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex1.globalInfo());\\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\\n assertFalse(resultMatrixLatex1.getShowAverage());\\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex1.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex1.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex1.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\\n assertFalse(resultMatrixLatex1.getShowStdDev());\\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex1.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex1.rowNameWidthTipText());\\n \\n String string1 = resultMatrixLatex1.toStringMatrix();\\n assertEquals(\\\"\\\\\\\\begin{table}[thb]\\\\n\\\\\\\\caption{\\\\\\\\label{labelname}Table Caption}\\\\n\\\\\\\\footnotesize\\\\n{\\\\\\\\centering \\\\\\\\begin{tabular}{lr}\\\\n\\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\nDataset & (1)\\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\nrow0 & \\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\n\\\\\\\\multicolumn{2}{c}{$\\\\\\\\circ$, $\\\\\\\\bullet$ statistically significant improvement or degradation}\\\\\\\\\\\\\\\\\\\\n\\\\\\\\end{tabular} \\\\\\\\footnotesize \\\\\\\\par}\\\\n\\\\\\\\end{table}\\\\n\\\", string1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\\n assertFalse(string1.equals((Object)string0));\\n assertNotSame(resultMatrixLatex1, resultMatrixLatex0);\\n assertNotNull(string1);\\n assertTrue(resultMatrixLatex1.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex1.showAverageTipText());\\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex1.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex1.countWidthTipText());\\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex1.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex1.getCountWidth());\\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex1.colNameWidthTipText());\\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixLatex1.getVisibleColCount());\\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixLatex1.getVisibleRowCount());\\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\\n assertEquals(1, resultMatrixLatex1.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\\n assertFalse(resultMatrixLatex1.getPrintColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex1.getDisplayName());\\n assertEquals(1, resultMatrixLatex1.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex1.meanWidthTipText());\\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex1.showStdDevTipText());\\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex1.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\\n assertEquals(0, resultMatrixLatex1.getRowNameWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex1.globalInfo());\\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\\n assertFalse(resultMatrixLatex1.getShowAverage());\\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex1.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex1.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex1.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\\n assertFalse(resultMatrixLatex1.getShowStdDev());\\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex1.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex1.rowNameWidthTipText());\\n \\n // Undeclared exception!\\n try { \\n resultMatrixLatex0.toStringHeader();\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 0\\n //\\n verifyException(\\\"weka.experiment.ResultMatrix\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"168b8ee363a3fdad2dba82c61fb91224\",\n \"score\": \"0.57772815\",\n \"text\": \"private static void runTestCWE8() {\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3c519e230f2b2cf242d945a1cf491a3a\",\n \"score\": \"0.5776806\",\n \"text\": \"@Test\\n public void testStep35GetCurrentInteractionsCount() {\\n System.out.println(\\\"testStep35GetCurrentInteractionsCount\\\");\\n assertEquals(CURRENT_INTERACTIONS_COUNT, yearStat.getCurrentInteractionsCount());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8ec7b179ce21d04abdec4ee7100d26c2\",\n \"score\": \"0.5775899\",\n \"text\": \"@Test(timeout = 4000)\\n public void test052() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n \\n resultMatrixSignificance0.m_ShowAverage = false;\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n \\n int[][] intArray0 = new int[2][6];\\n int int0 = resultMatrixSignificance0.getRowCount();\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, int0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d359209a97c8e22b9eda476e7c72aca1\",\n \"score\": \"0.5774339\",\n \"text\": \"@Test(timeout = 4000)\\n public void test22() throws Throwable {\\n JRip jRip0 = new JRip();\\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\\n assertEquals((-1.0), jRip_RipperRule0.getConsequent(), 0.01);\\n \\n InputMappedClassifier inputMappedClassifier0 = new InputMappedClassifier();\\n String[] stringArray0 = new String[9];\\n stringArray0[0] = \\\"?{Cuzcj-_4b\\\";\\n stringArray0[1] = \\\"%tO(J z\\\";\\n stringArray0[2] = \\\"4+)l;M_n<UPN\\\";\\n double[] doubleArray0 = new double[3];\\n doubleArray0[0] = 559.9;\\n doubleArray0[1] = 1.0;\\n doubleArray0[2] = 559.9;\\n SparseInstance sparseInstance0 = new SparseInstance(1.0, doubleArray0);\\n ArrayList<Locale.LanguageRange> arrayList0 = new ArrayList<Locale.LanguageRange>();\\n List<String> list0 = Locale.filterTags((List<Locale.LanguageRange>) arrayList0, (Collection<String>) null);\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n Attribute attribute0 = new Attribute(\\\"?{Cuzcj-_4b\\\", list0, protectedProperties0);\\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\\n jRip_NominalAntd0.covers(sparseInstance0);\\n jRip_NominalAntd0.getAttrValue();\\n Attribute attribute1 = jRip_NominalAntd0.getAttr();\\n attribute0.setWeight(64.0);\\n JRip.RipperRule jRip_RipperRule1 = jRip0.new RipperRule();\\n jRip_RipperRule0.setConsequent(Double.NaN);\\n JRip jRip1 = new JRip();\\n JRip.RipperRule jRip_RipperRule2 = jRip0.new RipperRule();\\n jRip_RipperRule2.hasAntds();\\n jRip_RipperRule0.covers(sparseInstance0);\\n jRip_NominalAntd0.copy();\\n jRip_NominalAntd0.getMaxInfoGain();\\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute1);\\n String string0 = jRip_NumericAntd0.getRevision();\\n assertEquals(\\\"8118\\\", string0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7abdc03eada59f07458dacb67e24b9e4\",\n \"score\": \"0.5766647\",\n \"text\": \"@Test(timeout = 4000)\\n public void test16() throws Throwable {\\n byte[] byteArray0 = new byte[34];\\n HashWrapper hashWrapper0 = new HashWrapper(byteArray0);\\n MockFile mockFile0 = new MockFile(\\\"1^%8|FrkXc\\\", \\\"1^%8|FrkXc\\\");\\n URL uRL0 = mockFile0.toURL();\\n LightWeightSeedManager lightWeightSeedManager0 = LightWeightSeedManager.getSingleton();\\n LightWeightSeed lightWeightSeed0 = new LightWeightSeed(lightWeightSeedManager0, \\\"1^%8|FrkXc\\\", hashWrapper0, uRL0, mockFile0, (LightWeightSeedAdapter) null);\\n lightWeightSeed0.start();\\n lightWeightSeed0.stop();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6c7198993ce246b216f11ab1531a3752\",\n \"score\": \"0.57639235\",\n \"text\": \"@Test(timeout = 4000)\\n public void test102() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n \\n int[] intArray0 = new int[4];\\n intArray0[0] = 0;\\n intArray0[1] = 0;\\n intArray0[2] = 0;\\n intArray0[3] = 0;\\n int[] intArray1 = new int[7];\\n assertFalse(intArray1.equals((Object)intArray0));\\n \\n intArray1[0] = 1;\\n intArray1[2] = 2;\\n intArray1[4] = 0;\\n intArray1[5] = 1;\\n intArray0[3] = 2;\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n \\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\";\\n stringArray0[1] = \\\" \\\";\\n resultMatrixGnuPlot0.m_ColNames = stringArray0;\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n \\n resultMatrixGnuPlot0.setRowName(0, \\\"\\\");\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixCSV0);\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n \\n int[] intArray2 = new int[1];\\n assertFalse(intArray2.equals((Object)intArray1));\\n assertFalse(intArray2.equals((Object)intArray0));\\n \\n intArray2[0] = (-358);\\n resultMatrixCSV0.setRowOrder(intArray2);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(intArray2.equals((Object)intArray1));\\n assertFalse(intArray2.equals((Object)intArray0));\\n assertNotSame(intArray2, intArray1);\\n assertNotSame(intArray2, intArray0);\\n assertEquals(1, intArray2.length);\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertArrayEquals(new int[] {(-358)}, intArray2);\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n \\n String string0 = resultMatrixPlainText0.padString(\\\"\\\", 294, false);\\n assertEquals(\\\" \\\", string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(string0);\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n \\n String string1 = resultMatrixPlainText0.toStringSummary();\\n assertEquals(\\\"-summary data not set-\\\", string1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(string1.equals((Object)string0));\\n assertNotNull(string1);\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixPlainText0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(5, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\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.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n \\n int int0 = resultMatrixLatex0.getDefaultStdDevPrec();\\n assertEquals(2, int0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(5, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\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.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad89fb487e1112d7b19109f18cbd3d36\",\n \"score\": \"0.57624406\",\n \"text\": \"private static void runTestCWE3() {\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"63ee1263b8ae8ee562b72c169ac61ccd\",\n \"score\": \"0.57615453\",\n \"text\": \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getAttributeIndices();\\n discretize0.setDesiredWeightOfInstancesPerInterval(3785.69462);\\n discretize0.setOutputFormat();\\n String[] stringArray0 = new String[7];\\n stringArray0[0] = \\\"first-last\\\";\\n stringArray0[1] = \\\"first-last\\\";\\n String string0 = \\\"OOLodY\\\";\\n stringArray0[2] = \\\"OOLodY\\\";\\n stringArray0[3] = \\\"first-last\\\";\\n stringArray0[4] = \\\"first-last\\\";\\n stringArray0[5] = \\\"first-last\\\";\\n stringArray0[6] = \\\"first-last\\\";\\n discretize0.setOptions(stringArray0);\\n discretize0.setBins((-5883));\\n discretize0.desiredWeightOfInstancesPerIntervalTipText();\\n // Undeclared exception!\\n try { \\n discretize0.findNumBins((-5883));\\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\": \"043287055666e32beab6b95126083b37\",\n \"score\": \"0.57575357\",\n \"text\": \"@Test\\r\\n public void testHuvudavtal_EHM_IT_DriftExamples(){\\r\\n try {\\r\\n new ClassificationTester(\\\"\\\\nUppsägning enligt punkten 24.1 ova\\\"+\\r\\n \\\"n ska inte medföra några kostnader eller\\\"+\\r\\n \\\" andra påföljder för EHM. Vidare gäller \\\"+\\r\\n \\\"att Leverantören är skyldig att informer\\\"+\\r\\n \\\"a EHM om sådana omständigheter som har b\\\"+\\r\\n \\\"etydelse för EHM vid bedömning av punkte\\\"+\\r\\n \\\"n 24.1 ovan.\\\")\\r\\n .withParser(swedishParser)\\r\\n .withHeadline(\\\"25 Förtida upphörande av Avtalet\\\")\\r\\n .withProject(mockProject, mockDocument)\\r\\n .withClassifier(new NumberClassifierSV())\\r\\n .withClassifier(new DefinitionUsageClassifierSV())\\r\\n .withClassifier(new ReportingClassifierSV())\\r\\n .expectingClassification(new ClassificationAssertion(FeatureTypeTree.REPORTING, 1)\\r\\n .withTag(\\\"\\\")\\r\\n )\\r\\n .test();\\r\\n\\r\\n\\r\\n new ClassificationTester(\\\"Leverantören ska fortlöpande tillhandahå\\\"+\\r\\n \\\"lla konkreta förslag till förbättringar \\\"+\\r\\n \\\"och effektiviseringar. Baserat på Levera\\\"+\\r\\n \\\"ntörens förslag ska Parterna gemensamt d\\\"+\\r\\n \\\"efiniera förbättringsprojekt för att eff\\\"+\\r\\n \\\"ektivisera Tjänsten.\\\")\\r\\n .withParser(swedishParser)\\r\\n .withHeadline(\\\"7 Avtalets omfattning och Tjänsten\\\")\\r\\n .withProject(mockProject, mockDocument)\\r\\n .withClassifier(new NumberClassifierSV())\\r\\n .withClassifier(new DefinitionUsageClassifierSV())\\r\\n .withClassifier(new ReportingClassifierSV())\\r\\n .expectingClassification(new ClassificationAssertion(FeatureTypeTree.REPORTING, 1)\\r\\n .withTag(\\\"\\\")\\r\\n )\\r\\n .test();\\r\\n\\r\\n\\r\\n } catch (Exception e) {\\r\\n e.printStackTrace();\\r\\n assertTrue(false);\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c29cdd68f2b64f4387a321ba897a048d\",\n \"score\": \"0.5756973\",\n \"text\": \"@Test(timeout = 4000)\\n public void test033() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n \\n String string0 = resultMatrixSignificance0.getColName(7);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNull(string0);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(2, 0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n \\n resultMatrixPlainText0.clearSummary();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n \\n String[] stringArray0 = new String[9];\\n stringArray0[0] = \\\"$w7]\\\\\\\"$x-O*{$^wl\\\";\\n stringArray0[1] = \\\"\\\";\\n stringArray0[2] = \\\"*\\\";\\n stringArray0[3] = \\\"v\\\";\\n stringArray0[4] = \\\"$w7]\\\\\\\"$x-O*{$^wl\\\";\\n stringArray0[5] = \\\")\\\";\\n stringArray0[6] = \\\"$w7]\\\\\\\"$x-O*{$^wl\\\";\\n stringArray0[7] = \\\"JOR}My?[1>q\\\";\\n stringArray0[8] = \\\")\\\";\\n ResultMatrixPlainText.main(stringArray0);\\n assertEquals(9, stringArray0.length);\\n \\n int[] intArray0 = new int[3];\\n intArray0[0] = 0;\\n intArray0[1] = 2;\\n intArray0[2] = 2;\\n resultMatrixSignificance0.setColOrder(intArray0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(3, intArray0.length);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertArrayEquals(new int[] {0, 2, 2}, intArray0);\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\\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, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n assertNotNull(resultMatrixGnuPlot1);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n \\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixGnuPlot1);\\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, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\\n assertNotNull(resultMatrixSignificance1);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance1.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance1.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance1.stdDevPrecTipText());\\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance1.meanWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance1.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance1.printRowNamesTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance1.getDisplayName());\\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance1.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance1.getShowAverage());\\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance1.globalInfo());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance1.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance1.getRowCount());\\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance1.showStdDevTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance1.countWidthTipText());\\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\\n assertFalse(resultMatrixSignificance1.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance1.rowNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\\n assertFalse(resultMatrixSignificance1.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance1.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance1.significanceWidthTipText());\\n \\n boolean boolean0 = resultMatrixSignificance0.getDefaultShowStdDev();\\n assertFalse(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n \\n String string1 = resultMatrixGnuPlot1.getRowName((-1));\\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, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\\n assertNull(string1);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n \\n int int0 = resultMatrixPlainText0.getDisplayCol((-382));\\n assertEquals((-1), int0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n \\n double double0 = resultMatrixGnuPlot1.getCount(1);\\n assertEquals(0.0, double0, 0.01);\\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, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"564b3ff4ef4c4339dc86323bfec6245e\",\n \"score\": \"0.575584\",\n \"text\": \"private static void runTestCWE6() {\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3c9fe9faaa9862b2ec4b9c277e7f3b83\",\n \"score\": \"0.57510394\",\n \"text\": \"private static void runTestCWE2() {\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c718181e085f5ff4588f7c415dc7c5f4\",\n \"score\": \"0.57507575\",\n \"text\": \"@Test(timeout = 4000)\\n public void test07() throws Throwable {\\n Evaluation.handleCostOption(\\\"\\\", 0);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.equals(textDirectoryLoader0);\\n assertFalse(boolean0);\\n \\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0, doubleArray0.length);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f2bde2ce17f198c8af20c040fa99f11\",\n \"score\": \"0.57494694\",\n \"text\": \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Evaluation.handleCostOption(\\\"\\\", 0);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n String[] stringArray0 = new String[3];\\n stringArray0[0] = \\\"@relation\\\";\\n stringArray0[1] = \\\".arff\\\";\\n stringArray0[2] = \\\"@data\\\";\\n textDirectoryLoader0.setOptions(stringArray0);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.equals(textDirectoryLoader0);\\n assertFalse(boolean0);\\n \\n double double0 = evaluation0.rootMeanSquaredError();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3cca16f2d8b71001bdf8f3253278725b\",\n \"score\": \"0.5748581\",\n \"text\": \"@Test\\n\\tpublic void capTest37() {\\n\\t\\tassertTrue(JunitTester.canCaptureTest(yellowKingvsKingBoard, 4, 0));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"01302ee049ae54d50c6994ef24164d90\",\n \"score\": \"0.5745117\",\n \"text\": \"@Test\\n\\tpublic void capTest16() {\\n\\t\\tassertFalse(JunitTester.canCaptureTest(capBoardYellow, 5, 2));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"49abbb8831a83b05872247166227e7e1\",\n \"score\": \"0.57395273\",\n \"text\": \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n int[] intArray0 = new int[1];\\n resultMatrixSignificance0.m_RankingDiff = intArray0;\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n intArray0[0] = 2;\\n resultMatrixSignificance0.m_RankingWins = intArray0;\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n resultMatrixSignificance0.m_PrintRowNames = false;\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n resultMatrixSignificance0.m_PrintRowNames = true;\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n int int0 = resultMatrixSignificance0.getDefaultColNameWidth();\\n assertEquals(0, int0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n int int1 = 1629;\\n resultMatrixSignificance0.setMeanPrec(1629);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1629, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n // Undeclared exception!\\n try { \\n resultMatrixSignificance0.toStringKey();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException 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\": \"106004d38f6a3cc74bbeb13846b0b162\",\n \"score\": \"0.57367563\",\n \"text\": \"@Test(timeout = 4000)\\n public void test31() throws Throwable {\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n JRip jRip0 = new JRip();\\n jRip0.setOptions((String[]) null);\\n Attribute attribute0 = new Attribute(\\\"X7G\\\", \\\"X7G\\\");\\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute0);\\n assertEquals(Double.NaN, jRip_NumericAntd0.getAttrValue(), 0.01);\\n \\n jRip_NumericAntd0.value = (double) 1;\\n jRip_NumericAntd0.toString();\\n String string0 = jRip_NumericAntd0.toString();\\n assertEquals(\\\"X7G >= NaN\\\", string0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2e15b2e6c8967c0c44a27ab259eb5a5d\",\n \"score\": \"0.5736317\",\n \"text\": \"@Test(timeout = 4000)\\n public void test20() throws Throwable {\\n JRip jRip0 = new JRip();\\n DecisionTable decisionTable0 = new DecisionTable();\\n Instances instances0 = decisionTable0.m_dtInstances;\\n Attribute attribute0 = new Attribute(\\\"\\\\\\\"4F/Mq5/c|)\\\", 116);\\n Attribute attribute1 = new Attribute(\\\"@attribute\\\", \\\"d88\\\");\\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute1);\\n JRip.NominalAntd jRip_NominalAntd1 = (JRip.NominalAntd)jRip_NominalAntd0.copy();\\n assertEquals(0.0, jRip_NominalAntd1.getMaxInfoGain(), 0.01);\\n assertEquals(Double.NaN, jRip_NominalAntd1.getCover(), 0.01);\\n assertEquals(Double.NaN, jRip_NominalAntd1.getAccuRate(), 0.01);\\n assertEquals(Double.NaN, jRip_NominalAntd1.getAccu(), 0.01);\\n assertEquals(Double.NaN, jRip_NominalAntd1.getAttrValue(), 0.01);\\n \\n JRip jRip1 = new JRip();\\n String string0 = jRip1.minNoTipText();\\n assertEquals(\\\"The minimum total weight of the instances in a rule.\\\", string0);\\n \\n String string1 = jRip0.debugTipText();\\n assertEquals(\\\"Whether debug information is output to the console.\\\", string1);\\n \\n boolean boolean0 = jRip0.getCheckErrorRate();\\n assertTrue(boolean0);\\n \\n String[] stringArray0 = jRip1.getOptions();\\n assertEquals(2, jRip1.getOptimizations());\\n assertEquals(1L, jRip1.getSeed());\\n assertTrue(jRip1.getUsePruning());\\n assertFalse(jRip1.getDebug());\\n assertEquals(11, stringArray0.length);\\n assertEquals(2.0, jRip1.getMinNo(), 0.01);\\n assertEquals(3, jRip1.getFolds());\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":991899,"cells":{"query_id":{"kind":"string","value":"54d47e312f5f4e29a5a57ae048cead40"},"query":{"kind":"string","value":"implements the predicate to filter the students."},"positive_passages":{"kind":"list like","value":[{"docid":"b56ed7e7ca24c146a61b3c7a428648fd","score":"0.6883723","text":"private static List<Student> extractStudentsUsingPredicate(List<Student> students, String language, Integer minScore){\n return students.stream()\n .filter(studentFilter(language, minScore)).collect(Collectors.toList());\n }","title":""}],"string":"[\n {\n \"docid\": \"b56ed7e7ca24c146a61b3c7a428648fd\",\n \"score\": \"0.6883723\",\n \"text\": \"private static List<Student> extractStudentsUsingPredicate(List<Student> students, String language, Integer minScore){\\n return students.stream()\\n .filter(studentFilter(language, minScore)).collect(Collectors.toList());\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"8be7e9d36c1ab0d073a4158a3bc40e1f","score":"0.7539175","text":"private static Predicate<Student> studentFilter(String language, Integer minScore){\n return student -> student.getLanguage().equalsIgnoreCase(language) && student.getScore() > minScore\n && (student.getName().startsWith(\"A\") || student.getName().startsWith(\"S\"));\n\n}","title":""},{"docid":"009cbc6d6aa515ad84746ff560841913","score":"0.72091216","text":"public List<StudentRecord> filter(IFilter filter) {\n\t\tList<StudentRecord> filteredList = new ArrayList<>();\n\n\t\tfor (StudentRecord s : students) {\n\t\t\tif (filter.accepts(s)) {\n\t\t\t\tfilteredList.add(s);\n\t\t\t}\n\t\t}\n\n\t\treturn filteredList;\n\t}","title":""},{"docid":"fca408d2ffe2acab180882d26b8b4908","score":"0.7073169","text":"public void filterStudentTable() {\n // 1. Wrap the ObservableList in a FilteredList (initially display all students).\n FilteredList<Student> filteredData = new FilteredList<>(students, p -> true);\n\n // 2. Set the filter Predicate whenever the filter changes.\n filterField.textProperty().addListener((observable, oldValue, newValue) -> {\n filteredData.setPredicate(student -> {\n // If filter text is empty, display all students.\n if (newValue == null || newValue.isEmpty()) {\n return true;\n }\n\n // Compare every student's property with filter text.\n String lowerCaseFilter = newValue.toLowerCase();\n\n try {\n if (student.getFirstName().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getLastName().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getMiddleName().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (String.valueOf(student.getIdNumber()).toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getEmail().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getBlock().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getFaculty().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getFatherFirstName().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getFatherLastName().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getFatherPhone().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getMotherFirstName().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getMotherLastName().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getMotherPhone().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getCellPhone().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getHomeAddress1().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getHomeAddress2().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getHomeCity().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getHomeProvince().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getResidentCountry().getCountry().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getNationalityCountry().getNationality().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n } else if (student.getPreviousSecondary().toLowerCase().contains(lowerCaseFilter)) {\n return true;\n }\n\n studentTableView.setPlaceholder(tablePlaceholders[1]);\n return false; // Does not match.\n } catch (NullPointerException nullP) {\n // Do nothing... For now\n }\n studentTableView.setPlaceholder(tablePlaceholders[1]);\n return false;\n });\n });\n\n// studentTableView.setPlaceholder(tablePlaceholders[0]);\n\n // 3. Wrap the FilteredList in a SortedList.\n SortedList<Student> sortedData = new SortedList<>(filteredData);\n\n // 4. Bind the SortedList comparator to the TableView comparator.\n sortedData.comparatorProperty().bind(studentTableView.comparatorProperty());\n\n // 5. Add sorted (and filtered) data to the table.\n studentTableView.setItems(sortedData);\n }","title":""},{"docid":"a172422b6485b348242eb2e3c233578c","score":"0.69752467","text":"@Override\n public List<Student> filter(List<Student> studentList) {\n List<Student>list=new ArrayList<Student>();\n list.addAll(firstCriteria.filter(studentList));\n for(Student s:studentList){\n if(!list.contains(s)){\n list.add(s);\n }\n }\n return list;\n }","title":""},{"docid":"b041cfaa72128071549d2a9f067da267","score":"0.6893079","text":"private void filterStudents() {\n\t\tList<Student> filteredList = new ArrayList<>();\n\t\tfilteredList = studentsList;\n\t\tString totalStudentsText = \"\";\n\t\t// Filter by status selected in UI\n\t\tString statusSelected = ((RadioButton) filterStudentStatus.getSelectedToggle()).getText();\n\t\tMap<String, String> statusMap = new HashMap<>();\n\t\tstatusMap.put(\"TODOS\", null);\n\t\tstatusMap.put(\"ATIVOS\", \"ATIVO\");\n\t\tstatusMap.put(\"AGUARDANDO\", \"AGUARDANDO\");\n\t\tstatusMap.put(\"INATIVOS\", \"INATIVO\");\n\t\t// I use this to correspond with status stored in database\n\t\tString statusToFilter = statusMap.get(statusSelected.toUpperCase());\n\t\tif (statusToFilter != null) {\n\t\t\tfilteredList = filteredList.stream().filter(student -> student.getStatus().equalsIgnoreCase(statusToFilter))\n\t\t\t\t\t.collect(Collectors.toList());\n\t\t\tif (filteredList.size() == 1) {\n\t\t\t\tif (statusSelected.charAt(statusSelected.length() - 1) == 's') {\n\t\t\t\t\tstatusSelected = statusSelected.substring(0, statusSelected.length() - 1);\n\t\t\t\t}\n\t\t\t\ttotalStudentsText = \"(Total de: \" + Utils.pointSeparator(filteredList.size()) + \" aluno \"\n\t\t\t\t\t\t+ statusSelected + \")\";\n\t\t\t} else {\n\t\t\t\ttotalStudentsText = \"(Total de: \" + Utils.pointSeparator(filteredList.size()) + \" alunos \"\n\t\t\t\t\t\t+ statusSelected + \")\";\n\t\t\t}\n\t\t} else {\n\t\t\tif (filteredList.size() == 1) {\n\t\t\t\tif (statusSelected.charAt(statusSelected.length() - 1) == 's') {\n\t\t\t\t\tstatusSelected = statusSelected.substring(0, statusSelected.length() - 1);\n\t\t\t\t}\n\t\t\t\ttotalStudentsText = \"(Total de: \" + Utils.pointSeparator(filteredList.size()) + \" aluno)\";\n\t\t\t} else {\n\t\t\t\ttotalStudentsText = \"(Total de: \" + Utils.pointSeparator(filteredList.size()) + \" alunos)\";\n\t\t\t}\n\t\t}\n\t\t// Filter by text in search bar\n\t\tString textSearch = textFilter.getText();\n\t\tString fieldFilter = comboBoxFieldFilter.getSelectionModel().getSelectedItem();\n\t\tString filterTypeSelected = ((RadioButton) filterType.getSelectedToggle()).getText();\n\t\tif (filterTypeSelected.equalsIgnoreCase(\"inicia com\") && textSearch.length() > 0) {\n\t\t\tfilteredList = filteredList.stream()\n\t\t\t\t\t.filter(student -> student.getValue(fieldFilter) != null\n\t\t\t\t\t\t\t&& student.getValue(fieldFilter).toUpperCase().startsWith(textSearch.toUpperCase()))\n\t\t\t\t\t.collect(Collectors.toList());\n\t\t} else if (filterTypeSelected.equalsIgnoreCase(\"contém\") && textSearch.length() > 0) {\n\t\t\tfilteredList = filteredList.stream()\n\t\t\t\t\t.filter(student -> student.getValue(fieldFilter) != null\n\t\t\t\t\t\t\t&& student.getValue(fieldFilter).toUpperCase().contains(textSearch.toUpperCase()))\n\t\t\t\t\t.collect(Collectors.toList());\n\t\t}\n\t\tif (textSearch.length() > 0) {\n\t\t\tlabelTotalStudentsSearch.setText(\"Resultados: \" + filteredList.size());\n\t\t} else {\n\t\t\tlabelTotalStudentsSearch.setText(null);\n\t\t}\n\t\t// set total students to label\n\t\tlabelTotalStudents.setText(totalStudentsText);\n\t\t// convert filteredList to Observable List and set in tableStudents\n\t\tObservableList<Student> filteredObsList = FXCollections.observableArrayList(filteredList);\n\t\ttableStudents.setItems(filteredObsList);\n\t\ttableStudents.refresh();\n\t\ttableStudents.getSelectionModel().selectFirst();\n\t}","title":""},{"docid":"946ba38c850bb465b311ddf1813bdf34","score":"0.65081143","text":"public static void main(String[] args) {\n\n\n CustomPredicate<Integer> find = (i) -> {\n System.out.println(i % 2 == 0);\n return i % 2 == 0;\n };\n\n// find.test(11);\n\n\n Student student1 = new Student(\"Adam\", 3, 3.6, \"male\", Arrays.asList(\"swimming\", \"basketball\", \"volleyball\"));\n Student student2 = new Student(\"Sophia\", 3, 3.5, \"female\", Arrays.asList(\"swimming\", \"dancing\", \"football\"));\n\n\n CustomPredicate<Student> equalsGrade = student -> student.getGradeLevel() == 3;\n\n CustomPredicate<Student> testGrade = student -> {\n System.out.println(student.getGradeLevel() >= 3);\n return student.getGradeLevel() >= 3;\n };\n\n System.out.println(equalsGrade.test(student1));\n\n }","title":""},{"docid":"d3b4cfa6c084b2762bba56aecbec2914","score":"0.64416575","text":"public List<Student> getFilterStudent(String contentSearch) {\n List<Student> students = repo.findSearchedStudents(contentSearch);\n\t \n return students;\n }","title":""},{"docid":"632c8493fada2396b60fa9d9992f961e","score":"0.6300163","text":"public CourseSet filter(CourseFilter filter);","title":""},{"docid":"1d66c1895b154d9e8b2017555fbab705","score":"0.62391376","text":"public static void main(String[] args) {\n\n Predicate<Student> studentGradeLevelPredicate = student -> student.getGradeLevel()>=3;\n Predicate<Student> studentGPAPredicate = student -> student.getGpa()>=3.9;\n\n\n Map<String, List <String>> studentMap = StudentDataBase.getAllStudents()\n .stream()\n// .peek((student -> {\n// System.out.println(student);\n// }))\n .filter(studentGradeLevelPredicate)\n// .peek((student -> {\n// System.out.println(\"after first filter \" +student);\n// }))\n\n .filter(studentGPAPredicate)\n\n .peek((student -> {\n System.out.println(\"after second filter \" +student);\n }))\n\n .collect(Collectors.toMap(Student::getName,Student::getActivities));\n\n System.out.println(studentMap);\n\n }","title":""},{"docid":"6398517ea9af53a5731357eccbeed85b","score":"0.62105334","text":"private static List<Student> extractStudents(List<Student> students, String language, Integer minScore){\n return students.stream()\n .filter(student -> (student.getName().startsWith(\"A\") || student.getName().startsWith(\"S\")))\n .filter(student -> (student.getScore() > minScore))\n .filter(student -> student.getLanguage().equalsIgnoreCase(language))\n .collect(Collectors.toList());\n }","title":""},{"docid":"1f37f0a9f4b2b4f532db7c9807dd6114","score":"0.6095134","text":"public static void main(String[] args) {\n\t\t\r\n\t\tList<Student> studentList = GetStudents();\r\n\t\t\r\n\t \t \r\n\t\t List<String> names = studentList\r\n\t\t\t\t .stream()\r\n\t\t\t\t .filter(P -> P.getGradeMarks() > 40)\r\n\t\t\t\t .map(Student:: getFirstName)\r\n\t\t\t\t .collect(Collectors.<String>toList());\r\n \r\n\t\t names.forEach(System.out::println);\r\n\t\r\n \r\n\t\t names.forEach(System.out::println);\r\n\r\n\t}","title":""},{"docid":"3b7f217d1c546b21f7780990988bd27e","score":"0.60202235","text":"public Set<Person> filter(String surname);","title":""},{"docid":"9fad3d3a9508d42ffa981e4767a0dce8","score":"0.58323467","text":"private static void chkGradeAndPrintStudents() {\n\t\tList<Student> studentList = StudentDataBase.getAllStudents();\n\t\t\n\t\t//Apply chkStudentGrade predicate on the student list\n\t\tstudentList.forEach((student -> {\n\t\t\tif(chkStudentGrade.test(student)) {\n\t\t\t\tSystem.out.println(student);\n\t\t\t}\n\t\t}));\n\t}","title":""},{"docid":"f5f935104eaa8a54c00fa1d071d3d4b3","score":"0.58251774","text":"public ArrayList<BandMember> filterByStudent(ArrayList<BandMember> members) {\n ArrayList<BandMember> filter = new ArrayList<>();\n for (BandMember member : members) {\n if (member instanceof Student) {\n filter.add(member);\n }\n\n }\n return filter;\n }","title":""},{"docid":"a20f3d59e115350f6bb66c71e8565a70","score":"0.58080506","text":"private static void chkGpaAndPrintStudents() {\n\t\t\n\t\tList<Student> studentList = StudentDataBase.getAllStudents();\n\t\t\n\t\tSystem.out.println(\"Applying GPA filter----------\");\n\t\t\n\t\t//Apply chkStudentGrade predicate on the student list\n\t\tstudentList.forEach((student -> {\n\t\t\tif(chkStudentGpa.test(student)) {\n\t\t\t\tSystem.out.println(student);\n\t\t\t}\n\t\t}));\n\t\t\n\t}","title":""},{"docid":"4f1cca7b125a24c6a8dcac86948cbd9c","score":"0.5803286","text":"private static Collection findStudentByCourse(Course c) {\n\t HashSet<Student> stu = new HashSet();\n\t for(Person p:Department.persons)\n\t {\n\t\t if(p instanceof Student)\n\t\t {\n\t\t\t if(((Student) p).takingCourses.contains(c))\n\t\t\t {\n\t\t\t\t // System.out.println(((Student) p).getName());\n\t\t\t\t stu.add((Student) p);\n\t\t\t }\n\t\t }\n\t\t \n\t }\n\t return stu;\n }","title":""},{"docid":"3d5db1b9148c2316b1c3650ec0352a06","score":"0.5727198","text":"@Override\n\tpublic List<Student> searchStudent(String search) {\n\t\treturn repository.searchByStudentName(search);\n\t}","title":""},{"docid":"97f3da454b6adfe8fe6baae0d53fbe77","score":"0.57219976","text":"public FilterStudentsBySkillsManagedBean() {\n condition = \"OR\";\n }","title":""},{"docid":"6d0920ce6ad01b42a50cec3c694db12f","score":"0.5700545","text":"@Override\n\tpublic List<Student> getStudentStartWith(String start) {\n\t\tList<Student> studentList= getAll().stream().filter((stu)->stu.getStudentName().contains(start)).collect(Collectors.toList());\n\t\tif(studentList.isEmpty()) {\n\t\t\tthrow new StudentNotFoundException(\"No student found with this name\");\n\t\t}\n\t\treturn studentList;\n\t\n\t}","title":""},{"docid":"7e77493e9247653c5f60db5d72aac687","score":"0.568749","text":"private void addListenersToFilterStudents() {\n\t\ttextFilter.textProperty().addListener((observable, oldValue, newValue) -> {\n\t\t\tfilterStudents();\n\t\t});\n\t\t// Filter students table when user select another field to make the search\n\t\tcomboBoxFieldFilter.getSelectionModel().selectedItemProperty().addListener((observable, oldValue, newValue) -> {\n\t\t\tfilterStudents();\n\t\t});\n\t\t// Filter students table when user select another type of search\n\t\tfilterType.selectedToggleProperty().addListener((observable, oldValue, newValue) -> {\n\t\t\tfilterStudents();\n\t\t});\n\t\t// Filter students table when user select another status\n\t\tfilterStudentStatus.selectedToggleProperty().addListener((observable, oldValue, newValue) -> {\n\t\t\tfilterStudents();\n\t\t});\n\t}","title":""},{"docid":"3f0e20f4e12daa3828375df6957ab898","score":"0.56815594","text":"private static void chkGradeAndGpa() {\n\t\t\n\t\tList<Student> studentList = StudentDataBase.getAllStudents();\n\t\t\n\t\tSystem.out.println(\"Applying Grade And Gpa filter through and condition----------\");\n\t\t\n\t\t//Apply chkStudentGrade predicate on the student list\n\t\tstudentList.forEach((student -> {\n\t\t\tif(chkStudentGpa.and(chkStudentGrade).test(student)) {\n\t\t\t\tSystem.out.println(student);\n\t\t\t}\n\t\t}));\n\t\t\n\t}","title":""},{"docid":"0617302297587b249dfbc64e238b3136","score":"0.5680867","text":"public static void main(String[] args) {\n List<Instructor> instructors = Instructors.getAll();\n System.out.println(\"------------------------\");\n\n Predicate<Instructor> p1 = x -> x.isOnlineCourses();\n instructors.forEach(x ->\n {\n if(p1.test(x))\n System.out.println(x);\n });\n System.out.println(\"------------------------\");\n\n //instructor experience > 10 years\n Predicate<Instructor> p2 = x -> x.getYearsOfExperience() > 10;\n instructors.forEach(x -> {\n if(p2.test(x))\n System.out.println(x);\n });\n System.out.println(\"------------------------\");\n //instructor who teaches online and experience is > 10 years\n instructors.forEach(x -> {\n if (p1.and(p2).test(x))\n System.out.println(x);\n });\n\n\n }","title":""},{"docid":"bfb6eef577f830bbb00bbb4498528f8e","score":"0.5618631","text":"public List<StudentTeacher> studentSearch(String lastName) {\n List<StudentTeacher> rtn = new LinkedList<StudentTeacher>();\n for (StudentTeacher kid : this.mergedRecords) {\n if (kid.getLast().equalsIgnoreCase(lastName)) {\n rtn.add(kid); \n }\n }\n return rtn; \n }","title":""},{"docid":"743b73c8f21db2b95f1457e5986c59fb","score":"0.54550934","text":"ObservableList<Person> getFilteredPersonList();","title":""},{"docid":"5b4414b864ad3b2ad5354e790f149acd","score":"0.54011947","text":"List<StudentModel> selectAllStudents ();","title":""},{"docid":"42d95761120017f5ed4ccc002d785202","score":"0.53889596","text":"@Scope(A)\n\t\tString Filter();","title":""},{"docid":"fafc5fa0174474fcfee03ff134c9887f","score":"0.5387941","text":"public ArrayList<Student> getStudentsByName(String search) {\n ArrayList<Student> searchResult = new ArrayList<>();\n for (Student s : students) {\n if (s.getName().equalsIgnoreCase(search))\n searchResult.add(s);\n }\n if (searchResult.size() == 0)\n throw new IllegalArgumentException(\"No Student(s) with that name found\");\n return searchResult;\n }","title":""},{"docid":"8313f31806b3686eaace19b7ccdc290f","score":"0.5383937","text":"public List<Student> getAll(String grade);","title":""},{"docid":"2347151a71f34cd3c11b4e1aa9e88c25","score":"0.53716904","text":"private void findStudentByCondition() {\n\t\tList<Student> list = new ArrayList<Student>();\n\t\tSystem.out.println(\"请输入要查找的条件：1.根据姓名查找2.根据地址查找3.根据年龄查找4.根据性别查找5.按照生日段查询\");\n\t\tint select = scanner.nextInt();\n\t\tswitch (select) {\n\t\tcase 1:\n\t\t\tSystem.out.println(\"请输入要查找的姓名：\");\n\t\t\tString name = scanner.next();\n\t\t\tlist = studentController.findStudentByName(name);\n\t\t\tbreak;\n\n\t\tcase 2:\n\t\t\tSystem.out.println(\"请输入要查找的地址：\");\n\t\t\tString address = scanner.next();\n\t\t\tlist = studentController.findStudentByAddress(address);\n\t\t\tbreak;\n\t\tcase 3:\n\t\t\tSystem.out.println(\"请输入要查找的年龄：\");\n\t\t\tint age = scanner.nextInt();\n\t\t\tlist = studentController.findStudentByAge(age);\n\t\t\tbreak;\n\t\tcase 4:\n\t\t\tSystem.out.println(\"请输入要查找的性别：\");\n\t\t\tString gender = scanner.next();\n\t\t\tlist = studentController.findStudentByGender(gender);\n\t\t\tbreak;\n\t\tcase 5:\n\t\t\tSystem.out.println(\"请输入要查找的生日段：xxxx-xx-xx xxxx-xx-xx\");\n\t\t\tString time1 = scanner.next();\n\t\t\tString time2 = scanner.next();\n\t\t\tlist = studentController.findStudentByBirthday(time1,time2);\n\t\t\tbreak;\n\t\tdefault:\n\t\t\tbreak;\n\t\t}\n\t\tif(list.size() == 0){\n\t\t\tSystem.out.println(\"未找到符合条件的学生\");\n\t\t}else{\n\t\t\tfor (Student student : list) {\n\t\t\t\tSystem.out.println(student);\n\t\t\t}\n\t\t}\n\t}","title":""},{"docid":"0b0b3dd7ffbba153e81b5e47680246af","score":"0.5350627","text":"public List<Student> getStudentDetails(String courseName);","title":""},{"docid":"0a293c1c15c9905c78e5e33c3c9da774","score":"0.53478307","text":"public static void main(String[] args) {\n\t\tPredicate<Integer> p1=(I)->I%2==0;\n\t\tSystem.out.println(p1.test(10));\n\t\tSystem.out.println(p1.test(11));\n\t\tPredicate<String> s=(S)->S.length()>5;\n\t\tPredicate<String> o=(S)->S.length()%2==0;\n\t\tString st[]= {\"Ashi\",\"Ashish\",\"Kumar\", \"fasf\",\"gsh\",\"Ashish kumar\", \"Aman kumar\", \"Dinesh\",\"mahesh\"};\n\t\tSystem.out.println(s.test(\"Ashish\"));\n\t\tSystem.out.println(s.test(\"Ashi\"));\n\t\t//System.out.println(st);\n\t\tfor(String x:st)\n\t\t{\n\t\t\tif(s.test(x))\n\t\t\t\tSystem.out.print(x+\" \");\n\t\t}\n\t\tSystem.out.println();\n\t\tfor(String x:st)\n\t\t{\n\t\t\tif(o.test(x))\n\t\t\t\tSystem.out.print(x+\" \");\n\t\t}\n\t\tSystem.out.println();\n\t\tArrayList<Employee1> l=new ArrayList<Employee1>();\n\t\t//ArrayList<Employee> l=new ArrayList<Employee>();\n\t\tl.add(new Employee1(\"Ashish\",10000));\n\t\tl.add(new Employee1(\"Amit\",1216));\n\t\tl.add(new Employee1(\"Aman\",1009));\n\t\tl.add(new Employee1(\"Binny\",1014));\n\t\tl.add(new Employee1(\"Cinny\",5002));\n\t\tl.add(new Employee1(\"Ginny\",7502));\n\t\tl.add(new Employee1(\"Durga\",12320));\n\t\tSystem.out.println(l);\n\t\tPredicate<Employee1> e=(emp)->emp.name.length()>4 & emp.salary>1200;\n\t\tfor(Employee1 e1:l)\n\t\t{\n\t\t\tif(e.test(e1))\n\t\t\t{\n\t\t\t\tSystem.out.println(e1);\n\t\t\t}\n\t\t}\n\t}","title":""},{"docid":"9f11743eb3c8e86e0988fc20e363b831","score":"0.5310116","text":"@Override\n\tpublic Student getStudentbyId(Integer studentId) {\n\t\t\n\t\tStudent student=getAll().stream().filter((stu)->stu.getStudentId().equals(studentId)).findFirst().orElseThrow(()->new IdNotFoundException(\"Invalid Id!!!!\"));\t\n\t\treturn student;\n\t \n\t}","title":""},{"docid":"10e077ad91b3037d8152d8e6c898f763","score":"0.53069234","text":"void search() {\n // 1. Wrap the ObservableList in a FilteredList (initially display all data).\n FilteredList<Class> filteredData = new FilteredList<>(classesData, c -> true);\n // 2. Set the filter Predicate whenever the filter changes.\n search_field.textProperty().addListener((observable, oldValue, newValue) -> {\n filteredData.setPredicate(cl -> {\n // If filter text is empty, display all persons.\n if (newValue == null || newValue.isEmpty()) {\n return true;\n }\n // Compare first name and last name of every person with filter text.\n String lowerCaseFilter = newValue.toLowerCase();\n // maybe should be use contains instead of indexOf but it's a example from book ;)\n if (cl.getName().toLowerCase().indexOf(lowerCaseFilter) != -1)\n return true; // Filter matches first name.\n else if (Integer.toString(cl.getId()).toLowerCase().indexOf(lowerCaseFilter) != -1)\n return true; // Filter matches last name.\n else if (cl.getGroup().toLowerCase().indexOf(lowerCaseFilter) != -1)\n return true;\n //else if (cl.getTeacher().toLowerCase().indexOf(lowerCaseFilter) != -1) return true;\n return false; // Does not match.\n });\n });\n // 3. Wrap the FilteredList in a SortedList.\n SortedList<Class> sortedData = new SortedList<>(filteredData);\n // 4. Bind the SortedList comparator to the TableView comparator.\n // \t Otherwise, sorting the TableView would have no effect.\n sortedData.comparatorProperty().bind(classes_table.comparatorProperty());\n // 5. Add sorted (and filtered) data to the table.\n classes_table.setItems(sortedData);\n }","title":""},{"docid":"437359b168c30839975bb5e5993cd87f","score":"0.5298364","text":"@Override\r\n\tpublic List<Student> findAllStudents() {\n\t\treturn studentDao.findAllStudents();\r\n\t}","title":""},{"docid":"bdc53d2fb2853a29cbea3f0e632df80f","score":"0.5283199","text":"@Override\n public Page<Teacher> getByFilter(PageRequestParameters parameters, Locale locale) {\n StudentTeacherFilter filter = (StudentTeacherFilter) parameters.getFilter();\n Pageable pageable = parameters.getPage().getPageable();\n return teacherBaseService.getByFilter(filter, pageable,\n () -> teacherRepository.findAllByFirstNameAndLastName(filter.getFirstName(), filter.getLastName(), pageable),\n () -> teacherRepository.findAll(pageable));\n }","title":""},{"docid":"22e1bf50fe48a269fe893f6a297ea0ec","score":"0.52825195","text":"public NSArray<User> studentsWithoutStaff()\n {\n NSMutableArray<User> studentsWithoutStaff = students().mutableClone();\n studentsWithoutStaff.removeObjectsInArray(instructors());\n studentsWithoutStaff.removeObjectsInArray(graders());\n return studentsWithoutStaff;\n }","title":""},{"docid":"93ab8d60331829c8e390eb9944ccdc4e","score":"0.5281314","text":"public List<Student> getAllStudent();","title":""},{"docid":"cb2c2ffdf6a71026f41c14ff609e24d9","score":"0.52703977","text":"@Override\n public List<AccountInterface> contiFiltratiPer(Predicate<AccountInterface> predicate){\n List<AccountInterface> lista = new ArrayList<>();\n lista = conti;\n lista = lista.stream().filter(predicate).collect(Collectors.toList());\n return lista;\n }","title":""},{"docid":"824ce6e13a7640e6d3fa5b48f2499e79","score":"0.52618545","text":"public static void main(String[] args) {\n\n\t\tPredicate<Integer> p = a -> a > 10;\n\t\tSystem.out.println(p.test(20));\n\n\t\t// Scenario 2 check if the first number is less than the second number\n\t\tBiPredicate<Integer, Integer> bp = (a, b) -> a < b;\n\t\tSystem.out.println(bp.test(102, 50));\n\n\t\t// Scenatio 3 filter out the lists that are divisible by 3\n\t\tList<Integer> ls = new ArrayList<>();\n\t\tls.add(2);\n\t\tls.add(33);\n\t\tls.add(12);\n\t\tls.add(55);\n\t\tls.add(24);\n\t\tls.add(17);\n\n\t\tPredicate<Integer> ps = a -> a % 3 == 0;\n\t\tls = divisible(ps, ls);\n\n\t\tSystem.out.println(\"Filtered List is \" + ls);\n\n\t\t// Scenario 4 : Filter out names starting with K and Su and length more than 5\n\t\t// characters\n\t\tList<String> names = new ArrayList<>();\n\t\tnames.add(\"Sudip\");\n\t\tnames.add(\"Kunal\");\n\t\tnames.add(\"Sun\");\n\t\tnames.add(\"Sandeep\");\n\t\tnames.add(\"Sudipta\");\n\t\tnames.add(\"Sujeevani\");\n\n\t\tPredicate<String> pt = a -> a.startsWith(\"S\") && a.length() > 5;\n\t\tnames = getFilteredNames(pt, names);\n\t\tSystem.out.println(\"Names starting with S \" + names);\n\n\t}","title":""},{"docid":"ba05bafaab587362cb8ea6b202349fc3","score":"0.5260832","text":"Student findByLastName(String lastName);","title":""},{"docid":"a9b782f317f5bbecf21aaea66d011792","score":"0.52534676","text":"@Override\r\n\tpublic List<Student> getStudent() {\n\t\t\r\n\t\treturn studentRepository.findAll();\r\n\t}","title":""},{"docid":"c244dbad18e60ee21072d90dc0bea896","score":"0.5253423","text":"protected Entity getStudent ( String email, String courseID) {\n\tDatastoreService datastore = DatastoreServiceFactory.getDatastoreService();\n\tFilter filter = new FilterPredicate(\"email\",\n \tFilterOperator.EQUAL, email);\n\tFilter courseFilter = new FilterPredicate(\"courseID\",\n \tFilterOperator.EQUAL, courseID);\n\tfilter =\n\t\t\tCompositeFilterOperator.and(filter, courseFilter);\n\tQuery q = new Query(\"Student\").setFilter(filter);\n\tPreparedQuery pq = datastore.prepare(q);\n\n\ttry {\n\t\tEntity student = pq.asSingleEntity();\n\t\treturn student;\n\t} catch (Exception e) {\n\t\tSystem.out.println( \"Too many students are found for user with email: \" + email);\n\t\treturn null;\n\t}\n }","title":""},{"docid":"e6e60280e2c8d30e9d456561c7446ee9","score":"0.52455455","text":"public Set<Student> search(Student student) throws DAOException {\n Set<Student> students = new TreeSet<Student>();\n Group group = new Group(student.getGroup());\n Connection connexion = null;\n PreparedStatement preparedStatement = null;\n ResultSet resultSet = null;\n String SQLQuery = SELECT_ALL;\n\n try {\n connexion = daoFactory.getConnection();\n\n if (student.getId() != null) {\n SQLQuery += \" AND gnw_utilisateur.id = ?\";\n }\n else {\n SQLQuery += \" AND gnw_utilisateur.id IS NOT ?\";\n }\n\n if (student.getLastName() != null) {\n SQLQuery += \" AND gnw_utilisateur.nom LIKE ?\";\n student.setLastName(\"%\" + student.getLastName() + \"%\");\n }\n else {\n SQLQuery += \" AND gnw_utilisateur.nom IS NOT ?\";\n }\n\n if (student.getFirstName() != null) {\n SQLQuery += \" AND gnw_utilisateur.prenom LIKE ?\";\n student.setFirstName(\"%\" + student.getFirstName() + \"%\");\n }\n else {\n SQLQuery += \" AND gnw_utilisateur.prenom IS NOT ?\";\n }\n\n if (student.getEmailAddress() != null) {\n SQLQuery += \" AND gnw_utilisateur.adresse_mail LIKE ?\";\n student.setEmailAddress(\"%\" + student.getEmailAddress() + \"%\");\n }\n else {\n SQLQuery += \" AND gnw_utilisateur.adresse_mail IS NOT ?\";\n }\n\n if (group.getId() != null) {\n SQLQuery += \" AND gnw_groupe.id = ?\";\n }\n else {\n SQLQuery += \" AND gnw_groupe.id IS NOT ?\";\n }\n\n preparedStatement = initPreparedQuery(connexion, SQLQuery, true, student.getId(), student.getLastName(), student.getFirstName(), student.getEmailAddress(), group.getId());\n resultSet = preparedStatement.executeQuery();\n\n while (resultSet.next()) {\n student = map(resultSet);\n students.add(student);\n }\n }\n catch (SQLException e) {\n throw new DAOException(e);\n }\n finally {\n silentClosures(resultSet, preparedStatement, connexion);\n }\n\n return students;\n }","title":""},{"docid":"ed17ae10719d3f9ce34a422ddde5e8cf","score":"0.5239549","text":"private static boolean SearchForStudent(String searchName, HashMap<String, Student> students) {\n boolean foundStudent = false;\n\n //loop through the hashmap\n for (Map.Entry<String, Student> set :\n students.entrySet()) {\n //check to see if the student name matches what the user sent in\n if (searchName.equals(set.getKey())) {\n //if it does match then let's set our variable to say we found a match\n foundStudent = true;\n //since we found a match there is no reason to keep looping so let's break\n break;\n }\n }\n //return the variable stating if we found a matching student or not\n return foundStudent;\n }","title":""},{"docid":"ddb761fb584e8a2f02e9b1ac0577dfc0","score":"0.5235145","text":"@Override\n\tpublic void filter(ArrayList<String> a) {\n\t\tSystem.out.println(\"University filter\");\n\t}","title":""},{"docid":"ce549b35c1f073affcfbd20ce6eea26b","score":"0.52313316","text":"private static List<University> filterByName(List<University> universities, String schoolName){\n\t\tList<University> fittingUniversities = new ArrayList<>();\n\t\tschoolName = schoolName.toUpperCase();\n\t\tfor (University school: universities) {\n\t\t\tif (school.getName().contains(schoolName)) {\n\t\t\t\tfittingUniversities.add(school);\n\t\t\t}\n\t\t}\n\t\treturn fittingUniversities;\n\t}","title":""},{"docid":"dd5bdd1ce8f04f2bf3315d797e125d14","score":"0.5223663","text":"List<StudentExam> getByStudent(long studentId);","title":""},{"docid":"a2bf1d2a4c18c7b186f5dc197e00df71","score":"0.5213839","text":"public List<EnrolledStudent> getEnrolledStudents(String profId);","title":""},{"docid":"1fe3bf46754e78dc1b499bd366a527cd","score":"0.5210766","text":"public ArrayList<BandMember> filterBySection(ArrayList<BandMember> members, String section) {\n ArrayList<BandMember> filter = new ArrayList<>();\n for (BandMember member : members) {\n if ( member instanceof Student) {\n if(((Student) member).getSection().equals(section))\n filter.add(member);\n }\n\n }\n return filter;\n }","title":""},{"docid":"1ac983076487e949e90965e028d1e1fd","score":"0.52059495","text":"public String getPredicate(){\r\n\t\t\treturn predicate;\r\n\t\t}","title":""},{"docid":"a3d95ba8e3a2b4885afb1e2cbfe18352","score":"0.5202322","text":"List<Thesis> getThesesForStudent(Student student) throws ServiceFailureException;","title":""},{"docid":"312a7cbeafea843532cf001b854995ff","score":"0.5193561","text":"public static void main(String[] args) {\n\t\tList<Employee>list=Employee.employees();\n\t\tlist.stream().filter(new Predicate<Employee>() {\n\t\t\t@Override\n\t\t\tpublic boolean test(Employee t) {\n\t\t\t\treturn t.isMale();\n\t\t\t}\n\t\t}).peek(s->{\n\t\t\ts.setIncome(s.getIncome()*1.1);\n\t\t}).forEach(System.out::println);\n\t\tlist.stream().filter(new Predicate<Employee>() {\n\n\t\t\t@Override\n\t\t\tpublic boolean test(Employee t) {\n\t\t\t\treturn t.getDateofBirth().isBefore(LocalDate.of(1993, Month.SEPTEMBER,1));\n\t\t\t}\n\t\t\t\n\t\t}).forEach(System.out::println);\n\t\t\n\t}","title":""},{"docid":"b71cad91d7188b3e0622a69a711202a4","score":"0.51918155","text":"List<Student> getAllStudents();","title":""},{"docid":"e950f35213f5a56bde371f3dc12465b5","score":"0.51816005","text":"private static void findStudent(ArrayList<Student> student)\n {\n System.out.print(\"Find a student with the sNumber S\");\n int sNumber = scanner.nextInt();\n Student found = null;\n for(Student s : student)\n {\n if(s.getSNumber() == sNumber)\n {\n found = s;\n }\n }\n\n if(found != null)\n {\n System.out.println(found.toString());\n } else\n {\n System.out.print(\"Student not found\");\n }\n }","title":""},{"docid":"651afb6ce3c18415798b3c0754f8954b","score":"0.51800823","text":"@FXML\n\tprivate void filter() {\n\t\tFilteredList<Stan> filteredList = new FilteredList<>(stanovi, b -> true);\n\t\tfilteredList.setPredicate((data) -> {\n\t\t\tboolean showItem = true;\n\t\t\tInteger kvadratura = data.getKvadratura();\n\t\t\tif (!searchNaslov.getText().isEmpty()) {\n\t\t\t\tshowItem = showItem && (data.getNaslov().toLowerCase().contains(searchNaslov.getText().toLowerCase()));\n\t\t\t}\n\t\t\tif (!searchOpis.getText().isEmpty()) {\n\t\t\t\tshowItem = showItem && (data.getOpis().toLowerCase().contains(searchOpis.getText().toLowerCase()));\n\t\t\t}\n\t\t\tif (!searchKvadratura.getText().isEmpty()) {\n\t\t\t\tshowItem = showItem && (kvadratura.toString().contains(searchKvadratura.getText()));\n\t\t\t}\n\t\t\tif (!searchCijena.getText().isEmpty()) {\n\t\t\t\tshowItem = showItem && (data.getCijena().toString().contains(searchCijena.getText()));\n\t\t\t}\n\t\t\treturn showItem;\n\t\t});\n\n\t\tSortedList<Stan> sortedList = new SortedList<>(filteredList);\n\t\tsortedList.comparatorProperty().bind(tableView.comparatorProperty());\n\t\ttableView.setItems(sortedList);\n\t}","title":""},{"docid":"d9ce2bb8711547e58c36adc41d38efb4","score":"0.5177083","text":"private List<Student> getStudentFromClassroom(Long classroomId) {\n return studentRepository\n .findAll()\n .stream()\n .filter(student -> student.getClassroom().getId().equals(classroomId))\n .collect(Collectors.toList());\n }","title":""},{"docid":"a8a1fb4fbfbf9b7bcf5a3b8ceaf1e9f2","score":"0.5175144","text":"public List<StudentVO> searchStudentList(StudentVO param) throws Exception {\n\t\treturn bizBasicDao.selectStudentList(param);\n\t}","title":""},{"docid":"6c40f9fa1d63a6a4702d25f0ea5c6762","score":"0.51664186","text":"@Override\r\n\tpublic List<Student> selectStudentAll() {\n\t\treturn studentMapper.selectStudentAll();\r\n\t}","title":""},{"docid":"813d0cee9f19b525dd5ef59409a94ed7","score":"0.516291","text":"List<UserDTO> findAllStudents();","title":""},{"docid":"527ad89d95595aa9f3e4c1f791ed013b","score":"0.51440483","text":"public static List<Student> getStudents(){\n\t\tList<Student> students = new ArrayList<Student>();\n\t\t\n\t\t// add sample data\n\t\tstudents.add(new Student(\"Mangesh\", \"Gayakwad\", \"mangesh.g@gmail.com\"));\n\t\tstudents.add(new Student(\"Anand\", \"Polas\", \"anand.p@gmail.com\"));\n\t\tstudents.add(new Student(\"Sushant\", \"Ranjan\", \"sushant.r@gmail.com\"));\n\t\tstudents.add(new Student(\"Ganesh\", \"Sahu\", \"ganesh.s@gmail.com\"));\n\t\t\n\t\t// return the list\n\t\treturn students;\n\t\t\n\t}","title":""},{"docid":"865a7bc648f59dd94d68a1e4ff692cb2","score":"0.514318","text":"public ArrayList<BandMember> filterBySectionLeaders(ArrayList<BandMember> members) {\n ArrayList<BandMember> filter = new ArrayList<>();\n for (BandMember member : members) {\n if ( member instanceof Student) {\n if (!((Student) member).getSectionLead().equals(\"\"))\n filter.add(member);\n }\n\n }\n return filter;\n }","title":""},{"docid":"3faf028a215fca5cd518b690bebe0ff9","score":"0.51391417","text":"@Override\n public List<Student> selectAllNotDistributionStudent(Pagination<Student> pagination) {\n \n List<Student> list = distributionMapper.selectAllNotDistributionStudent(pagination);\n \n return list;\n }","title":""},{"docid":"b8eac621d596822ae7ddbeaadcb85acd","score":"0.5129698","text":"public Collection<Student> getAllStudents() {\n\t\treturn null;\r\n\t}","title":""},{"docid":"6062ddbd29be53d3207576844e69b7b5","score":"0.5129214","text":"public List<Student> listStudents() {\n\t\treturn null;\r\n\t}","title":""},{"docid":"aa688a6d5b0de4908dc1fe64163fe2db","score":"0.51205724","text":"@Override\n public Set<Student> findAll() {\n //pass each student from the repo to students and return\n return new HashSet<>(studentRepository.findAll());\n }","title":""},{"docid":"997b3d02f8b067c4ac899e51166ed884","score":"0.51030296","text":"@Override\n\tpublic List<Student> selectListPage(Student student) {\n\t\treturn studentMapper.selectListPage(student);\n\t}","title":""},{"docid":"186808b704fc35737734d6d8ea7bff1d","score":"0.5102365","text":"public StudentInfoCriteria() {\n oredCriteria = new ArrayList<Criteria>();\n }","title":""},{"docid":"b003abff349f89a9909a8205a93311a1","score":"0.51008445","text":"@Override\n\tpublic void viewSpecificStudent(int sno) {\n\t\tint k=0;\n\t\tfor(Student bean:addRecords)\n\t\t{\n\t\t\tif(bean.getSno()==sno)\n\t\t\t{\n\t\t\t\tk++;\n\t\t\t\tSystem.out.println(bean);\n\t\t\t}\n\t\t\telse\n\t\t\t{\n\t\t\t\tSystem.out.println(\"not found\");\n\t\t\t}\n\t\t}\n\t\t\n\n\t}","title":""},{"docid":"39aaa96d8c9b0db74a490d8090a86b7a","score":"0.51001996","text":"List<Student> readAllStudent();","title":""},{"docid":"332fd8d5e065f1dcfc9458ed8be69a73","score":"0.50959605","text":"@Override\n\tpublic List<ExamResult> getstudentsfindByName(String sname) {\n\t\tList<ExamResult> res=eMan.createQuery(\"from ExamResult\").getResultList();\n\t\treturn res;\n\t\t\n\t}","title":""},{"docid":"aa5ab7560c7081384bbbc673f73065c1","score":"0.50956094","text":"public Student selectStudent(int studentNo);","title":""},{"docid":"307dd7bc8905fdc3fed5c477b0f786e5","score":"0.5091279","text":"@Query(\"select u from User u where role = 'student' and id not in (select student from StudentCourse sc where course_id = ?1)\")\n List<User> findAllStudentForCourse(int courseId);","title":""},{"docid":"5a25087fa250c4b875b177c86f230cb5","score":"0.50906223","text":"String getPredicate();","title":""},{"docid":"ff8225f23e3e52814c21924faf8d2fdc","score":"0.5067259","text":"public List<Report> getSemesterResultByStudent(Long studentId, int year, int semester) {\n return reportRepository.findAll()\n .stream()\n .filter(report -> report.getStudent().getId().equals(studentId)\n && report.getYear() == year\n && report.getSemester() == semester)\n .collect(Collectors.toList());\n }","title":""},{"docid":"a7f54694ebbaa63004299fe9258da003","score":"0.5064793","text":"@Override\n\tpublic List<Student> getStudent() {\n\t\treturn studentRepository.findAll();\n\t}","title":""},{"docid":"9602243f3f3404c4995f6ddd11fc5322","score":"0.50447434","text":"private static void printConditionally(List<Person> people, Predicate<Person> predicate){\n for(Person p : people){\n if (predicate.test(p)){\n System.out.println(p);\n }\n }\n }","title":""},{"docid":"4d010f27d2f277ea432e2441934fde15","score":"0.5034819","text":"public List<Student> getAllStudents(String value){\n return this.studentService.findAll(value);\n }","title":""},{"docid":"33e7623f7be1f13fc3985d9b34070133","score":"0.502254","text":"@Override\n\tpublic List<Student> getAllStudent() {\n\t\tList<Student> studentList= getAll();\n\t\treturn studentList;\n\t\t\n\t}","title":""},{"docid":"d9b9a9d6cc9e6312f9d962b8eba15c05","score":"0.5013113","text":"abstract List<T> filter(List<T> toFilter);","title":""},{"docid":"93e39624d52926cca29450d40756adec","score":"0.50102955","text":"@GetMapping(\"/_search/student-ones\")\n public ResponseEntity<List<StudentOneDTO>> searchStudentOnes(@RequestParam String query, Pageable pageable) {\n log.debug(\"REST request to search for a page of StudentOnes for query {}\", query);\n Page<StudentOneDTO> page = studentOneService.search(query, pageable);\n HttpHeaders headers = PaginationUtil.generateSearchPaginationHttpHeaders(query, page, \"/api/_search/student-ones\");\n return ResponseEntity.ok().headers(headers).body(page.getContent());\n }","title":""},{"docid":"52d8b337f6c9138e76af1b1328e45da0","score":"0.50088185","text":"public static void remove(String studentId){\n Student studentToRemove = null;\n for (Student s : studentsList){\n if (Integer.parseInt(s.getStudentId()) == Integer.parseInt(studentId)){\n studentToRemove = s;\n }\n }\n if (studentToRemove == null){\n System.out.print(\"Student Id: \" + studentId + \" not found\");\n }\n else{\n studentsList.remove(studentToRemove);\n System.out.print(\"Successfully removed student \" + studentId);\n }\n }","title":""},{"docid":"1dfff34c348e62787dfdd76e9c49d6b6","score":"0.49970087","text":"public static void main(String[] args) {\n\t\tList<String> filterd =\tUtility.getEmployeesList().stream().filter(e -> e.getAge() >20)\r\n\t\t.peek( e -> System.out.println(\"\"+e.getAge())).map(e -> e.getFirstName().toUpperCase()).collect(Collectors.toList());\r\n\t\t\r\n\t\tSystem.out.println(filterd);\r\n\r\n\t}","title":""},{"docid":"349c88345af59f1aa67b382655425eaf","score":"0.4995028","text":"public List<StudentDTO> allStudent()throws Exception;","title":""},{"docid":"b7f0cbdcd04b23350df09b291866a95e","score":"0.4992795","text":"public static void jesus() {\r\n\t\t\r\n\t\t//Old fashion way of filtering things\r\n\t\t\r\n\t\tSystem.out.println(inventory);\r\n\t System.out.println(greenApples(inventory));\r\n\t //Old fashion way of filtering things\r\n\t // System.out.println(greenApples(inventory));\r\n\t \r\n\t //In this way we are passing a Predicate to filter the apples according to the lambda\r\n\t // expression.\r\n\t List<Apple> myfilter=myCustomFilter(inventory, (Apple a) -> a.getPrice()>8.7);\r\n\t System.out.println(myfilter);\r\n\t \r\n\t //We can also filter by method references in which we pass the Class and the method.\r\n\t List<Apple> myfilterbyred = myCustomFilter(inventory,PracticeTask2::isRedApple);\r\n\t System.out.println(myfilterbyred);\r\n\t}","title":""},{"docid":"d3148025e56a4e77a18fa36a0e4619d1","score":"0.4988603","text":"Specification<E> getFilter();","title":""},{"docid":"80ceb801357017e83a9eadbff5c93626","score":"0.49870622","text":"public List<StudentParticipation> findByExerciseAndStudentId(Exercise exercise, Long studentId) {\n if (exercise.isTeamMode()) {\n Optional<Team> optionalTeam = teamRepository.findOneByExerciseIdAndUserId(exercise.getId(), studentId);\n return optionalTeam.map(team -> studentParticipationRepository.findByExerciseIdAndTeamId(exercise.getId(), team.getId())).orElse(List.of());\n }\n return studentParticipationRepository.findByExerciseIdAndStudentId(exercise.getId(), studentId);\n }","title":""},{"docid":"5749c62a95c5982fe56c29f87c89536e","score":"0.49853814","text":"public void filter(String query) {\n\n }","title":""},{"docid":"2322666015cd609be1f0b3024d6af8a6","score":"0.49845868","text":"public ResultSet getStudent(int id);","title":""},{"docid":"9aa46431a060a91f10b3fd3b7e9bf72b","score":"0.4983174","text":"public ArrayList<BandMember> filterByHasInstrument(ArrayList<BandMember> members) {\n ArrayList<BandMember> filter = new ArrayList<>();\n for (BandMember member : members) {\n if( member instanceof Student) {\n if (((Student) member).getInstrument() != null) {\n filter.add(member);\n }\n }\n }\n return filter;\n }","title":""},{"docid":"4c5e9950dcd7f27ad8cdad8f0d759520","score":"0.49831015","text":"void removeStudent(Student s) {\n studentList.remove(s);\n }","title":""},{"docid":"79c93472759885aea3312e6394af51f7","score":"0.49819657","text":"public List<Student> getAllStudent() {\n\t\tString query=\"Select * from student\";\n\t\tList<Student> students=this.jdbctemplet.query(query, new RawMapperImpl());\n\t\treturn students;\n\t}","title":""},{"docid":"b5bf281887f9a028b589b9d32a9320e7","score":"0.4979115","text":"private boolean createFilterPredicate(String newValue, Person person) {\n if (newValue == null || newValue.isEmpty()) {\n return true;\n }\n\n // Compare first name and last name of every person with filter text.\n String lowerCaseFilter = newValue.toLowerCase();\n\n if (person.firstNameProperty().getValue().toLowerCase().contains(lowerCaseFilter)) {\n return true; // Filter matches first name.\n } else if (person.lastNameProperty().getValue().toLowerCase().contains(lowerCaseFilter)) {\n return true; // Filter matches last name.\n }\n return false; // Does not match.\n }","title":""},{"docid":"d614c0b9da92397af61f1a59dba1981e","score":"0.49729463","text":"@Override\n public List<MovementInterface> movimentiFiltratiPer(Predicate<MovementInterface> predicate){\n List<MovementInterface> lista = new ArrayList<>();\n lista = movimenti;\n lista = lista.stream().filter(predicate).collect(Collectors.toList());\n return lista;\n\n }","title":""},{"docid":"3f95414b416b772c75e7e9fbdbea8833","score":"0.49721944","text":"@Test\n public void predicateExample() {\n Predicate<Integer> evenNumber = i -> i % 2==0;\n System.out.println(evenNumber.test(10));\n\n //Example#2\n Predicate<Integer> oddNumber = i -> i % 3==0;\n for (int i=1;i<10;i++) {\n System.out.println(oddNumber.test(i));\n }\n }","title":""},{"docid":"8dd0e95f0a1684a1412462042900a1dd","score":"0.49692625","text":"@Override\n protected FilterResults performFiltering(CharSequence constraint) {\n ArrayList<TennisUser> filtered = new ArrayList<>();\n\n /* Null or empty constraints. */\n if (constraint == null || constraint.length() == 0) {\n filtered.addAll(completePlayers);\n }\n else {\n String filterSequence = constraint.toString().toLowerCase().trim();\n for (TennisUser t : completePlayers) {\n String fullName = t.getFname() + \" \" + t.getLname();\n /* If the users full name contains the constraint, add it to the filtered list. */\n if (fullName.toLowerCase().contains(filterSequence)) {\n filtered.add(t);\n }\n }\n }\n /* Return the filtered list. */\n FilterResults results = new FilterResults();\n results.values = filtered;\n return results;\n }","title":""},{"docid":"a26d34534f5c6a1e841716f098d5ea81","score":"0.49688378","text":"@Override\n\tpublic List<StudentVO> findByAndSort(String lastname, Sort sort) {\n\t\treturn studentRepo.findByAndSort(\"R\", new Sort(\"lastName\")); \n\t\t\n\t}","title":""},{"docid":"7d713465aff80c8264baa81b2393aef3","score":"0.49622476","text":"public static void main(String[] args) {\n ArrayList<Student> studentList = new ArrayList<Student>();\n studentList.add(new Student(\"Sujit\", 1));\n studentList.add(new Student(\"Siddharth\", 2));\n studentList.add(new Student(\"Karanpreet\", 3));\n studentList.add(4,new Student(\"Hari\", 4));\n studentList.add(3, new Student(\"Tricha\", 5));\n }","title":""},{"docid":"3d20b6459a0ee89038ee35254385af85","score":"0.49612594","text":"private void searchStudent(String sName) {\n \ttry {\n \t\tif (sName.contentEquals(\"\")) {\n \t\tsearchError.setText(\"Please Enter a UID!\");\n \t\t} else {\n \t\t\ttoServer.writeUTF(\"search,\" + sName);\n toServer.flush();\n String response = fromServer.readUTF();\n String[] studentData = response.split(\",\");\n\n if(studentData[0].equals(\"students\")){\n displayResponse(\"Searching for surname: \" + sName);\n \tstudentList = decodeUserData(studentData);\n getDisplayStudent(\"init\");\n displayResponse(\"User found and displayed\");\n searchError.setText(\"\");\n } else{\n displayResponse(\"Error Searching for Student Data\");\n }\n \t\t}\n } catch (java.net.SocketException e){\n displayResponse(\"Connection to Database Lost\");\n }catch (Exception e){\n displayResponse(\"No Student with surname: \" + sName + \"\\nReturning to start of database\");\n getStudentData();\n }\n }","title":""},{"docid":"455a6b6798f17f8888d2e3379bd2d022","score":"0.49595323","text":"public Students getStudent() {\n return student;\n }","title":""},{"docid":"5576617264519cf914b3de6722f1683c","score":"0.49591082","text":"public ArrayList<BandMember> filterByspecInstrument(ArrayList<BandMember> members, Instrument instrument) {\n ArrayList<BandMember> filter = new ArrayList<>();\n for (BandMember member : members) {\n if ( member instanceof Student) {\n if (((Student) member).getInstrument() == instrument) {\n filter.add(member);\n break;\n }\n }\n\n }\n return filter;\n }","title":""}],"string":"[\n {\n \"docid\": \"8be7e9d36c1ab0d073a4158a3bc40e1f\",\n \"score\": \"0.7539175\",\n \"text\": \"private static Predicate<Student> studentFilter(String language, Integer minScore){\\n return student -> student.getLanguage().equalsIgnoreCase(language) && student.getScore() > minScore\\n && (student.getName().startsWith(\\\"A\\\") || student.getName().startsWith(\\\"S\\\"));\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"009cbc6d6aa515ad84746ff560841913\",\n \"score\": \"0.72091216\",\n \"text\": \"public List<StudentRecord> filter(IFilter filter) {\\n\\t\\tList<StudentRecord> filteredList = new ArrayList<>();\\n\\n\\t\\tfor (StudentRecord s : students) {\\n\\t\\t\\tif (filter.accepts(s)) {\\n\\t\\t\\t\\tfilteredList.add(s);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\treturn filteredList;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fca408d2ffe2acab180882d26b8b4908\",\n \"score\": \"0.7073169\",\n \"text\": \"public void filterStudentTable() {\\n // 1. Wrap the ObservableList in a FilteredList (initially display all students).\\n FilteredList<Student> filteredData = new FilteredList<>(students, p -> true);\\n\\n // 2. Set the filter Predicate whenever the filter changes.\\n filterField.textProperty().addListener((observable, oldValue, newValue) -> {\\n filteredData.setPredicate(student -> {\\n // If filter text is empty, display all students.\\n if (newValue == null || newValue.isEmpty()) {\\n return true;\\n }\\n\\n // Compare every student's property with filter text.\\n String lowerCaseFilter = newValue.toLowerCase();\\n\\n try {\\n if (student.getFirstName().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getLastName().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getMiddleName().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (String.valueOf(student.getIdNumber()).toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getEmail().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getBlock().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getFaculty().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getFatherFirstName().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getFatherLastName().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getFatherPhone().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getMotherFirstName().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getMotherLastName().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getMotherPhone().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getCellPhone().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getHomeAddress1().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getHomeAddress2().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getHomeCity().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getHomeProvince().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getResidentCountry().getCountry().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getNationalityCountry().getNationality().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n } else if (student.getPreviousSecondary().toLowerCase().contains(lowerCaseFilter)) {\\n return true;\\n }\\n\\n studentTableView.setPlaceholder(tablePlaceholders[1]);\\n return false; // Does not match.\\n } catch (NullPointerException nullP) {\\n // Do nothing... For now\\n }\\n studentTableView.setPlaceholder(tablePlaceholders[1]);\\n return false;\\n });\\n });\\n\\n// studentTableView.setPlaceholder(tablePlaceholders[0]);\\n\\n // 3. Wrap the FilteredList in a SortedList.\\n SortedList<Student> sortedData = new SortedList<>(filteredData);\\n\\n // 4. Bind the SortedList comparator to the TableView comparator.\\n sortedData.comparatorProperty().bind(studentTableView.comparatorProperty());\\n\\n // 5. Add sorted (and filtered) data to the table.\\n studentTableView.setItems(sortedData);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a172422b6485b348242eb2e3c233578c\",\n \"score\": \"0.69752467\",\n \"text\": \"@Override\\n public List<Student> filter(List<Student> studentList) {\\n List<Student>list=new ArrayList<Student>();\\n list.addAll(firstCriteria.filter(studentList));\\n for(Student s:studentList){\\n if(!list.contains(s)){\\n list.add(s);\\n }\\n }\\n return list;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b041cfaa72128071549d2a9f067da267\",\n \"score\": \"0.6893079\",\n \"text\": \"private void filterStudents() {\\n\\t\\tList<Student> filteredList = new ArrayList<>();\\n\\t\\tfilteredList = studentsList;\\n\\t\\tString totalStudentsText = \\\"\\\";\\n\\t\\t// Filter by status selected in UI\\n\\t\\tString statusSelected = ((RadioButton) filterStudentStatus.getSelectedToggle()).getText();\\n\\t\\tMap<String, String> statusMap = new HashMap<>();\\n\\t\\tstatusMap.put(\\\"TODOS\\\", null);\\n\\t\\tstatusMap.put(\\\"ATIVOS\\\", \\\"ATIVO\\\");\\n\\t\\tstatusMap.put(\\\"AGUARDANDO\\\", \\\"AGUARDANDO\\\");\\n\\t\\tstatusMap.put(\\\"INATIVOS\\\", \\\"INATIVO\\\");\\n\\t\\t// I use this to correspond with status stored in database\\n\\t\\tString statusToFilter = statusMap.get(statusSelected.toUpperCase());\\n\\t\\tif (statusToFilter != null) {\\n\\t\\t\\tfilteredList = filteredList.stream().filter(student -> student.getStatus().equalsIgnoreCase(statusToFilter))\\n\\t\\t\\t\\t\\t.collect(Collectors.toList());\\n\\t\\t\\tif (filteredList.size() == 1) {\\n\\t\\t\\t\\tif (statusSelected.charAt(statusSelected.length() - 1) == 's') {\\n\\t\\t\\t\\t\\tstatusSelected = statusSelected.substring(0, statusSelected.length() - 1);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\ttotalStudentsText = \\\"(Total de: \\\" + Utils.pointSeparator(filteredList.size()) + \\\" aluno \\\"\\n\\t\\t\\t\\t\\t\\t+ statusSelected + \\\")\\\";\\n\\t\\t\\t} else {\\n\\t\\t\\t\\ttotalStudentsText = \\\"(Total de: \\\" + Utils.pointSeparator(filteredList.size()) + \\\" alunos \\\"\\n\\t\\t\\t\\t\\t\\t+ statusSelected + \\\")\\\";\\n\\t\\t\\t}\\n\\t\\t} else {\\n\\t\\t\\tif (filteredList.size() == 1) {\\n\\t\\t\\t\\tif (statusSelected.charAt(statusSelected.length() - 1) == 's') {\\n\\t\\t\\t\\t\\tstatusSelected = statusSelected.substring(0, statusSelected.length() - 1);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\ttotalStudentsText = \\\"(Total de: \\\" + Utils.pointSeparator(filteredList.size()) + \\\" aluno)\\\";\\n\\t\\t\\t} else {\\n\\t\\t\\t\\ttotalStudentsText = \\\"(Total de: \\\" + Utils.pointSeparator(filteredList.size()) + \\\" alunos)\\\";\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t// Filter by text in search bar\\n\\t\\tString textSearch = textFilter.getText();\\n\\t\\tString fieldFilter = comboBoxFieldFilter.getSelectionModel().getSelectedItem();\\n\\t\\tString filterTypeSelected = ((RadioButton) filterType.getSelectedToggle()).getText();\\n\\t\\tif (filterTypeSelected.equalsIgnoreCase(\\\"inicia com\\\") && textSearch.length() > 0) {\\n\\t\\t\\tfilteredList = filteredList.stream()\\n\\t\\t\\t\\t\\t.filter(student -> student.getValue(fieldFilter) != null\\n\\t\\t\\t\\t\\t\\t\\t&& student.getValue(fieldFilter).toUpperCase().startsWith(textSearch.toUpperCase()))\\n\\t\\t\\t\\t\\t.collect(Collectors.toList());\\n\\t\\t} else if (filterTypeSelected.equalsIgnoreCase(\\\"contém\\\") && textSearch.length() > 0) {\\n\\t\\t\\tfilteredList = filteredList.stream()\\n\\t\\t\\t\\t\\t.filter(student -> student.getValue(fieldFilter) != null\\n\\t\\t\\t\\t\\t\\t\\t&& student.getValue(fieldFilter).toUpperCase().contains(textSearch.toUpperCase()))\\n\\t\\t\\t\\t\\t.collect(Collectors.toList());\\n\\t\\t}\\n\\t\\tif (textSearch.length() > 0) {\\n\\t\\t\\tlabelTotalStudentsSearch.setText(\\\"Resultados: \\\" + filteredList.size());\\n\\t\\t} else {\\n\\t\\t\\tlabelTotalStudentsSearch.setText(null);\\n\\t\\t}\\n\\t\\t// set total students to label\\n\\t\\tlabelTotalStudents.setText(totalStudentsText);\\n\\t\\t// convert filteredList to Observable List and set in tableStudents\\n\\t\\tObservableList<Student> filteredObsList = FXCollections.observableArrayList(filteredList);\\n\\t\\ttableStudents.setItems(filteredObsList);\\n\\t\\ttableStudents.refresh();\\n\\t\\ttableStudents.getSelectionModel().selectFirst();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"946ba38c850bb465b311ddf1813bdf34\",\n \"score\": \"0.65081143\",\n \"text\": \"public static void main(String[] args) {\\n\\n\\n CustomPredicate<Integer> find = (i) -> {\\n System.out.println(i % 2 == 0);\\n return i % 2 == 0;\\n };\\n\\n// find.test(11);\\n\\n\\n Student student1 = new Student(\\\"Adam\\\", 3, 3.6, \\\"male\\\", Arrays.asList(\\\"swimming\\\", \\\"basketball\\\", \\\"volleyball\\\"));\\n Student student2 = new Student(\\\"Sophia\\\", 3, 3.5, \\\"female\\\", Arrays.asList(\\\"swimming\\\", \\\"dancing\\\", \\\"football\\\"));\\n\\n\\n CustomPredicate<Student> equalsGrade = student -> student.getGradeLevel() == 3;\\n\\n CustomPredicate<Student> testGrade = student -> {\\n System.out.println(student.getGradeLevel() >= 3);\\n return student.getGradeLevel() >= 3;\\n };\\n\\n System.out.println(equalsGrade.test(student1));\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d3b4cfa6c084b2762bba56aecbec2914\",\n \"score\": \"0.64416575\",\n \"text\": \"public List<Student> getFilterStudent(String contentSearch) {\\n List<Student> students = repo.findSearchedStudents(contentSearch);\\n\\t \\n return students;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"632c8493fada2396b60fa9d9992f961e\",\n \"score\": \"0.6300163\",\n \"text\": \"public CourseSet filter(CourseFilter filter);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1d66c1895b154d9e8b2017555fbab705\",\n \"score\": \"0.62391376\",\n \"text\": \"public static void main(String[] args) {\\n\\n Predicate<Student> studentGradeLevelPredicate = student -> student.getGradeLevel()>=3;\\n Predicate<Student> studentGPAPredicate = student -> student.getGpa()>=3.9;\\n\\n\\n Map<String, List <String>> studentMap = StudentDataBase.getAllStudents()\\n .stream()\\n// .peek((student -> {\\n// System.out.println(student);\\n// }))\\n .filter(studentGradeLevelPredicate)\\n// .peek((student -> {\\n// System.out.println(\\\"after first filter \\\" +student);\\n// }))\\n\\n .filter(studentGPAPredicate)\\n\\n .peek((student -> {\\n System.out.println(\\\"after second filter \\\" +student);\\n }))\\n\\n .collect(Collectors.toMap(Student::getName,Student::getActivities));\\n\\n System.out.println(studentMap);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6398517ea9af53a5731357eccbeed85b\",\n \"score\": \"0.62105334\",\n \"text\": \"private static List<Student> extractStudents(List<Student> students, String language, Integer minScore){\\n return students.stream()\\n .filter(student -> (student.getName().startsWith(\\\"A\\\") || student.getName().startsWith(\\\"S\\\")))\\n .filter(student -> (student.getScore() > minScore))\\n .filter(student -> student.getLanguage().equalsIgnoreCase(language))\\n .collect(Collectors.toList());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1f37f0a9f4b2b4f532db7c9807dd6114\",\n \"score\": \"0.6095134\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\t\\r\\n\\t\\tList<Student> studentList = GetStudents();\\r\\n\\t\\t\\r\\n\\t \\t \\r\\n\\t\\t List<String> names = studentList\\r\\n\\t\\t\\t\\t .stream()\\r\\n\\t\\t\\t\\t .filter(P -> P.getGradeMarks() > 40)\\r\\n\\t\\t\\t\\t .map(Student:: getFirstName)\\r\\n\\t\\t\\t\\t .collect(Collectors.<String>toList());\\r\\n \\r\\n\\t\\t names.forEach(System.out::println);\\r\\n\\t\\r\\n \\r\\n\\t\\t names.forEach(System.out::println);\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b7f217d1c546b21f7780990988bd27e\",\n \"score\": \"0.60202235\",\n \"text\": \"public Set<Person> filter(String surname);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9fad3d3a9508d42ffa981e4767a0dce8\",\n \"score\": \"0.58323467\",\n \"text\": \"private static void chkGradeAndPrintStudents() {\\n\\t\\tList<Student> studentList = StudentDataBase.getAllStudents();\\n\\t\\t\\n\\t\\t//Apply chkStudentGrade predicate on the student list\\n\\t\\tstudentList.forEach((student -> {\\n\\t\\t\\tif(chkStudentGrade.test(student)) {\\n\\t\\t\\t\\tSystem.out.println(student);\\n\\t\\t\\t}\\n\\t\\t}));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f5f935104eaa8a54c00fa1d071d3d4b3\",\n \"score\": \"0.58251774\",\n \"text\": \"public ArrayList<BandMember> filterByStudent(ArrayList<BandMember> members) {\\n ArrayList<BandMember> filter = new ArrayList<>();\\n for (BandMember member : members) {\\n if (member instanceof Student) {\\n filter.add(member);\\n }\\n\\n }\\n return filter;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a20f3d59e115350f6bb66c71e8565a70\",\n \"score\": \"0.58080506\",\n \"text\": \"private static void chkGpaAndPrintStudents() {\\n\\t\\t\\n\\t\\tList<Student> studentList = StudentDataBase.getAllStudents();\\n\\t\\t\\n\\t\\tSystem.out.println(\\\"Applying GPA filter----------\\\");\\n\\t\\t\\n\\t\\t//Apply chkStudentGrade predicate on the student list\\n\\t\\tstudentList.forEach((student -> {\\n\\t\\t\\tif(chkStudentGpa.test(student)) {\\n\\t\\t\\t\\tSystem.out.println(student);\\n\\t\\t\\t}\\n\\t\\t}));\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4f1cca7b125a24c6a8dcac86948cbd9c\",\n \"score\": \"0.5803286\",\n \"text\": \"private static Collection findStudentByCourse(Course c) {\\n\\t HashSet<Student> stu = new HashSet();\\n\\t for(Person p:Department.persons)\\n\\t {\\n\\t\\t if(p instanceof Student)\\n\\t\\t {\\n\\t\\t\\t if(((Student) p).takingCourses.contains(c))\\n\\t\\t\\t {\\n\\t\\t\\t\\t // System.out.println(((Student) p).getName());\\n\\t\\t\\t\\t stu.add((Student) p);\\n\\t\\t\\t }\\n\\t\\t }\\n\\t\\t \\n\\t }\\n\\t return stu;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3d5db1b9148c2316b1c3650ec0352a06\",\n \"score\": \"0.5727198\",\n \"text\": \"@Override\\n\\tpublic List<Student> searchStudent(String search) {\\n\\t\\treturn repository.searchByStudentName(search);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"97f3da454b6adfe8fe6baae0d53fbe77\",\n \"score\": \"0.57219976\",\n \"text\": \"public FilterStudentsBySkillsManagedBean() {\\n condition = \\\"OR\\\";\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6d0920ce6ad01b42a50cec3c694db12f\",\n \"score\": \"0.5700545\",\n \"text\": \"@Override\\n\\tpublic List<Student> getStudentStartWith(String start) {\\n\\t\\tList<Student> studentList= getAll().stream().filter((stu)->stu.getStudentName().contains(start)).collect(Collectors.toList());\\n\\t\\tif(studentList.isEmpty()) {\\n\\t\\t\\tthrow new StudentNotFoundException(\\\"No student found with this name\\\");\\n\\t\\t}\\n\\t\\treturn studentList;\\n\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7e77493e9247653c5f60db5d72aac687\",\n \"score\": \"0.568749\",\n \"text\": \"private void addListenersToFilterStudents() {\\n\\t\\ttextFilter.textProperty().addListener((observable, oldValue, newValue) -> {\\n\\t\\t\\tfilterStudents();\\n\\t\\t});\\n\\t\\t// Filter students table when user select another field to make the search\\n\\t\\tcomboBoxFieldFilter.getSelectionModel().selectedItemProperty().addListener((observable, oldValue, newValue) -> {\\n\\t\\t\\tfilterStudents();\\n\\t\\t});\\n\\t\\t// Filter students table when user select another type of search\\n\\t\\tfilterType.selectedToggleProperty().addListener((observable, oldValue, newValue) -> {\\n\\t\\t\\tfilterStudents();\\n\\t\\t});\\n\\t\\t// Filter students table when user select another status\\n\\t\\tfilterStudentStatus.selectedToggleProperty().addListener((observable, oldValue, newValue) -> {\\n\\t\\t\\tfilterStudents();\\n\\t\\t});\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f0e20f4e12daa3828375df6957ab898\",\n \"score\": \"0.56815594\",\n \"text\": \"private static void chkGradeAndGpa() {\\n\\t\\t\\n\\t\\tList<Student> studentList = StudentDataBase.getAllStudents();\\n\\t\\t\\n\\t\\tSystem.out.println(\\\"Applying Grade And Gpa filter through and condition----------\\\");\\n\\t\\t\\n\\t\\t//Apply chkStudentGrade predicate on the student list\\n\\t\\tstudentList.forEach((student -> {\\n\\t\\t\\tif(chkStudentGpa.and(chkStudentGrade).test(student)) {\\n\\t\\t\\t\\tSystem.out.println(student);\\n\\t\\t\\t}\\n\\t\\t}));\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0617302297587b249dfbc64e238b3136\",\n \"score\": \"0.5680867\",\n \"text\": \"public static void main(String[] args) {\\n List<Instructor> instructors = Instructors.getAll();\\n System.out.println(\\\"------------------------\\\");\\n\\n Predicate<Instructor> p1 = x -> x.isOnlineCourses();\\n instructors.forEach(x ->\\n {\\n if(p1.test(x))\\n System.out.println(x);\\n });\\n System.out.println(\\\"------------------------\\\");\\n\\n //instructor experience > 10 years\\n Predicate<Instructor> p2 = x -> x.getYearsOfExperience() > 10;\\n instructors.forEach(x -> {\\n if(p2.test(x))\\n System.out.println(x);\\n });\\n System.out.println(\\\"------------------------\\\");\\n //instructor who teaches online and experience is > 10 years\\n instructors.forEach(x -> {\\n if (p1.and(p2).test(x))\\n System.out.println(x);\\n });\\n\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bfb6eef577f830bbb00bbb4498528f8e\",\n \"score\": \"0.5618631\",\n \"text\": \"public List<StudentTeacher> studentSearch(String lastName) {\\n List<StudentTeacher> rtn = new LinkedList<StudentTeacher>();\\n for (StudentTeacher kid : this.mergedRecords) {\\n if (kid.getLast().equalsIgnoreCase(lastName)) {\\n rtn.add(kid); \\n }\\n }\\n return rtn; \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"743b73c8f21db2b95f1457e5986c59fb\",\n \"score\": \"0.54550934\",\n \"text\": \"ObservableList<Person> getFilteredPersonList();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5b4414b864ad3b2ad5354e790f149acd\",\n \"score\": \"0.54011947\",\n \"text\": \"List<StudentModel> selectAllStudents ();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"42d95761120017f5ed4ccc002d785202\",\n \"score\": \"0.53889596\",\n \"text\": \"@Scope(A)\\n\\t\\tString Filter();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fafc5fa0174474fcfee03ff134c9887f\",\n \"score\": \"0.5387941\",\n \"text\": \"public ArrayList<Student> getStudentsByName(String search) {\\n ArrayList<Student> searchResult = new ArrayList<>();\\n for (Student s : students) {\\n if (s.getName().equalsIgnoreCase(search))\\n searchResult.add(s);\\n }\\n if (searchResult.size() == 0)\\n throw new IllegalArgumentException(\\\"No Student(s) with that name found\\\");\\n return searchResult;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8313f31806b3686eaace19b7ccdc290f\",\n \"score\": \"0.5383937\",\n \"text\": \"public List<Student> getAll(String grade);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2347151a71f34cd3c11b4e1aa9e88c25\",\n \"score\": \"0.53716904\",\n \"text\": \"private void findStudentByCondition() {\\n\\t\\tList<Student> list = new ArrayList<Student>();\\n\\t\\tSystem.out.println(\\\"请输入要查找的条件：1.根据姓名查找2.根据地址查找3.根据年龄查找4.根据性别查找5.按照生日段查询\\\");\\n\\t\\tint select = scanner.nextInt();\\n\\t\\tswitch (select) {\\n\\t\\tcase 1:\\n\\t\\t\\tSystem.out.println(\\\"请输入要查找的姓名：\\\");\\n\\t\\t\\tString name = scanner.next();\\n\\t\\t\\tlist = studentController.findStudentByName(name);\\n\\t\\t\\tbreak;\\n\\n\\t\\tcase 2:\\n\\t\\t\\tSystem.out.println(\\\"请输入要查找的地址：\\\");\\n\\t\\t\\tString address = scanner.next();\\n\\t\\t\\tlist = studentController.findStudentByAddress(address);\\n\\t\\t\\tbreak;\\n\\t\\tcase 3:\\n\\t\\t\\tSystem.out.println(\\\"请输入要查找的年龄：\\\");\\n\\t\\t\\tint age = scanner.nextInt();\\n\\t\\t\\tlist = studentController.findStudentByAge(age);\\n\\t\\t\\tbreak;\\n\\t\\tcase 4:\\n\\t\\t\\tSystem.out.println(\\\"请输入要查找的性别：\\\");\\n\\t\\t\\tString gender = scanner.next();\\n\\t\\t\\tlist = studentController.findStudentByGender(gender);\\n\\t\\t\\tbreak;\\n\\t\\tcase 5:\\n\\t\\t\\tSystem.out.println(\\\"请输入要查找的生日段：xxxx-xx-xx xxxx-xx-xx\\\");\\n\\t\\t\\tString time1 = scanner.next();\\n\\t\\t\\tString time2 = scanner.next();\\n\\t\\t\\tlist = studentController.findStudentByBirthday(time1,time2);\\n\\t\\t\\tbreak;\\n\\t\\tdefault:\\n\\t\\t\\tbreak;\\n\\t\\t}\\n\\t\\tif(list.size() == 0){\\n\\t\\t\\tSystem.out.println(\\\"未找到符合条件的学生\\\");\\n\\t\\t}else{\\n\\t\\t\\tfor (Student student : list) {\\n\\t\\t\\t\\tSystem.out.println(student);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b0b3dd7ffbba153e81b5e47680246af\",\n \"score\": \"0.5350627\",\n \"text\": \"public List<Student> getStudentDetails(String courseName);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0a293c1c15c9905c78e5e33c3c9da774\",\n \"score\": \"0.53478307\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tPredicate<Integer> p1=(I)->I%2==0;\\n\\t\\tSystem.out.println(p1.test(10));\\n\\t\\tSystem.out.println(p1.test(11));\\n\\t\\tPredicate<String> s=(S)->S.length()>5;\\n\\t\\tPredicate<String> o=(S)->S.length()%2==0;\\n\\t\\tString st[]= {\\\"Ashi\\\",\\\"Ashish\\\",\\\"Kumar\\\", \\\"fasf\\\",\\\"gsh\\\",\\\"Ashish kumar\\\", \\\"Aman kumar\\\", \\\"Dinesh\\\",\\\"mahesh\\\"};\\n\\t\\tSystem.out.println(s.test(\\\"Ashish\\\"));\\n\\t\\tSystem.out.println(s.test(\\\"Ashi\\\"));\\n\\t\\t//System.out.println(st);\\n\\t\\tfor(String x:st)\\n\\t\\t{\\n\\t\\t\\tif(s.test(x))\\n\\t\\t\\t\\tSystem.out.print(x+\\\" \\\");\\n\\t\\t}\\n\\t\\tSystem.out.println();\\n\\t\\tfor(String x:st)\\n\\t\\t{\\n\\t\\t\\tif(o.test(x))\\n\\t\\t\\t\\tSystem.out.print(x+\\\" \\\");\\n\\t\\t}\\n\\t\\tSystem.out.println();\\n\\t\\tArrayList<Employee1> l=new ArrayList<Employee1>();\\n\\t\\t//ArrayList<Employee> l=new ArrayList<Employee>();\\n\\t\\tl.add(new Employee1(\\\"Ashish\\\",10000));\\n\\t\\tl.add(new Employee1(\\\"Amit\\\",1216));\\n\\t\\tl.add(new Employee1(\\\"Aman\\\",1009));\\n\\t\\tl.add(new Employee1(\\\"Binny\\\",1014));\\n\\t\\tl.add(new Employee1(\\\"Cinny\\\",5002));\\n\\t\\tl.add(new Employee1(\\\"Ginny\\\",7502));\\n\\t\\tl.add(new Employee1(\\\"Durga\\\",12320));\\n\\t\\tSystem.out.println(l);\\n\\t\\tPredicate<Employee1> e=(emp)->emp.name.length()>4 & emp.salary>1200;\\n\\t\\tfor(Employee1 e1:l)\\n\\t\\t{\\n\\t\\t\\tif(e.test(e1))\\n\\t\\t\\t{\\n\\t\\t\\t\\tSystem.out.println(e1);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f11743eb3c8e86e0988fc20e363b831\",\n \"score\": \"0.5310116\",\n \"text\": \"@Override\\n\\tpublic Student getStudentbyId(Integer studentId) {\\n\\t\\t\\n\\t\\tStudent student=getAll().stream().filter((stu)->stu.getStudentId().equals(studentId)).findFirst().orElseThrow(()->new IdNotFoundException(\\\"Invalid Id!!!!\\\"));\\t\\n\\t\\treturn student;\\n\\t \\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10e077ad91b3037d8152d8e6c898f763\",\n \"score\": \"0.53069234\",\n \"text\": \"void search() {\\n // 1. Wrap the ObservableList in a FilteredList (initially display all data).\\n FilteredList<Class> filteredData = new FilteredList<>(classesData, c -> true);\\n // 2. Set the filter Predicate whenever the filter changes.\\n search_field.textProperty().addListener((observable, oldValue, newValue) -> {\\n filteredData.setPredicate(cl -> {\\n // If filter text is empty, display all persons.\\n if (newValue == null || newValue.isEmpty()) {\\n return true;\\n }\\n // Compare first name and last name of every person with filter text.\\n String lowerCaseFilter = newValue.toLowerCase();\\n // maybe should be use contains instead of indexOf but it's a example from book ;)\\n if (cl.getName().toLowerCase().indexOf(lowerCaseFilter) != -1)\\n return true; // Filter matches first name.\\n else if (Integer.toString(cl.getId()).toLowerCase().indexOf(lowerCaseFilter) != -1)\\n return true; // Filter matches last name.\\n else if (cl.getGroup().toLowerCase().indexOf(lowerCaseFilter) != -1)\\n return true;\\n //else if (cl.getTeacher().toLowerCase().indexOf(lowerCaseFilter) != -1) return true;\\n return false; // Does not match.\\n });\\n });\\n // 3. Wrap the FilteredList in a SortedList.\\n SortedList<Class> sortedData = new SortedList<>(filteredData);\\n // 4. Bind the SortedList comparator to the TableView comparator.\\n // \\t Otherwise, sorting the TableView would have no effect.\\n sortedData.comparatorProperty().bind(classes_table.comparatorProperty());\\n // 5. Add sorted (and filtered) data to the table.\\n classes_table.setItems(sortedData);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"437359b168c30839975bb5e5993cd87f\",\n \"score\": \"0.5298364\",\n \"text\": \"@Override\\r\\n\\tpublic List<Student> findAllStudents() {\\n\\t\\treturn studentDao.findAllStudents();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bdc53d2fb2853a29cbea3f0e632df80f\",\n \"score\": \"0.5283199\",\n \"text\": \"@Override\\n public Page<Teacher> getByFilter(PageRequestParameters parameters, Locale locale) {\\n StudentTeacherFilter filter = (StudentTeacherFilter) parameters.getFilter();\\n Pageable pageable = parameters.getPage().getPageable();\\n return teacherBaseService.getByFilter(filter, pageable,\\n () -> teacherRepository.findAllByFirstNameAndLastName(filter.getFirstName(), filter.getLastName(), pageable),\\n () -> teacherRepository.findAll(pageable));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"22e1bf50fe48a269fe893f6a297ea0ec\",\n \"score\": \"0.52825195\",\n \"text\": \"public NSArray<User> studentsWithoutStaff()\\n {\\n NSMutableArray<User> studentsWithoutStaff = students().mutableClone();\\n studentsWithoutStaff.removeObjectsInArray(instructors());\\n studentsWithoutStaff.removeObjectsInArray(graders());\\n return studentsWithoutStaff;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93ab8d60331829c8e390eb9944ccdc4e\",\n \"score\": \"0.5281314\",\n \"text\": \"public List<Student> getAllStudent();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cb2c2ffdf6a71026f41c14ff609e24d9\",\n \"score\": \"0.52703977\",\n \"text\": \"@Override\\n public List<AccountInterface> contiFiltratiPer(Predicate<AccountInterface> predicate){\\n List<AccountInterface> lista = new ArrayList<>();\\n lista = conti;\\n lista = lista.stream().filter(predicate).collect(Collectors.toList());\\n return lista;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"824ce6e13a7640e6d3fa5b48f2499e79\",\n \"score\": \"0.52618545\",\n \"text\": \"public static void main(String[] args) {\\n\\n\\t\\tPredicate<Integer> p = a -> a > 10;\\n\\t\\tSystem.out.println(p.test(20));\\n\\n\\t\\t// Scenario 2 check if the first number is less than the second number\\n\\t\\tBiPredicate<Integer, Integer> bp = (a, b) -> a < b;\\n\\t\\tSystem.out.println(bp.test(102, 50));\\n\\n\\t\\t// Scenatio 3 filter out the lists that are divisible by 3\\n\\t\\tList<Integer> ls = new ArrayList<>();\\n\\t\\tls.add(2);\\n\\t\\tls.add(33);\\n\\t\\tls.add(12);\\n\\t\\tls.add(55);\\n\\t\\tls.add(24);\\n\\t\\tls.add(17);\\n\\n\\t\\tPredicate<Integer> ps = a -> a % 3 == 0;\\n\\t\\tls = divisible(ps, ls);\\n\\n\\t\\tSystem.out.println(\\\"Filtered List is \\\" + ls);\\n\\n\\t\\t// Scenario 4 : Filter out names starting with K and Su and length more than 5\\n\\t\\t// characters\\n\\t\\tList<String> names = new ArrayList<>();\\n\\t\\tnames.add(\\\"Sudip\\\");\\n\\t\\tnames.add(\\\"Kunal\\\");\\n\\t\\tnames.add(\\\"Sun\\\");\\n\\t\\tnames.add(\\\"Sandeep\\\");\\n\\t\\tnames.add(\\\"Sudipta\\\");\\n\\t\\tnames.add(\\\"Sujeevani\\\");\\n\\n\\t\\tPredicate<String> pt = a -> a.startsWith(\\\"S\\\") && a.length() > 5;\\n\\t\\tnames = getFilteredNames(pt, names);\\n\\t\\tSystem.out.println(\\\"Names starting with S \\\" + names);\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ba05bafaab587362cb8ea6b202349fc3\",\n \"score\": \"0.5260832\",\n \"text\": \"Student findByLastName(String lastName);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a9b782f317f5bbecf21aaea66d011792\",\n \"score\": \"0.52534676\",\n \"text\": \"@Override\\r\\n\\tpublic List<Student> getStudent() {\\n\\t\\t\\r\\n\\t\\treturn studentRepository.findAll();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c244dbad18e60ee21072d90dc0bea896\",\n \"score\": \"0.5253423\",\n \"text\": \"protected Entity getStudent ( String email, String courseID) {\\n\\tDatastoreService datastore = DatastoreServiceFactory.getDatastoreService();\\n\\tFilter filter = new FilterPredicate(\\\"email\\\",\\n \\tFilterOperator.EQUAL, email);\\n\\tFilter courseFilter = new FilterPredicate(\\\"courseID\\\",\\n \\tFilterOperator.EQUAL, courseID);\\n\\tfilter =\\n\\t\\t\\tCompositeFilterOperator.and(filter, courseFilter);\\n\\tQuery q = new Query(\\\"Student\\\").setFilter(filter);\\n\\tPreparedQuery pq = datastore.prepare(q);\\n\\n\\ttry {\\n\\t\\tEntity student = pq.asSingleEntity();\\n\\t\\treturn student;\\n\\t} catch (Exception e) {\\n\\t\\tSystem.out.println( \\\"Too many students are found for user with email: \\\" + email);\\n\\t\\treturn null;\\n\\t}\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e6e60280e2c8d30e9d456561c7446ee9\",\n \"score\": \"0.52455455\",\n \"text\": \"public Set<Student> search(Student student) throws DAOException {\\n Set<Student> students = new TreeSet<Student>();\\n Group group = new Group(student.getGroup());\\n Connection connexion = null;\\n PreparedStatement preparedStatement = null;\\n ResultSet resultSet = null;\\n String SQLQuery = SELECT_ALL;\\n\\n try {\\n connexion = daoFactory.getConnection();\\n\\n if (student.getId() != null) {\\n SQLQuery += \\\" AND gnw_utilisateur.id = ?\\\";\\n }\\n else {\\n SQLQuery += \\\" AND gnw_utilisateur.id IS NOT ?\\\";\\n }\\n\\n if (student.getLastName() != null) {\\n SQLQuery += \\\" AND gnw_utilisateur.nom LIKE ?\\\";\\n student.setLastName(\\\"%\\\" + student.getLastName() + \\\"%\\\");\\n }\\n else {\\n SQLQuery += \\\" AND gnw_utilisateur.nom IS NOT ?\\\";\\n }\\n\\n if (student.getFirstName() != null) {\\n SQLQuery += \\\" AND gnw_utilisateur.prenom LIKE ?\\\";\\n student.setFirstName(\\\"%\\\" + student.getFirstName() + \\\"%\\\");\\n }\\n else {\\n SQLQuery += \\\" AND gnw_utilisateur.prenom IS NOT ?\\\";\\n }\\n\\n if (student.getEmailAddress() != null) {\\n SQLQuery += \\\" AND gnw_utilisateur.adresse_mail LIKE ?\\\";\\n student.setEmailAddress(\\\"%\\\" + student.getEmailAddress() + \\\"%\\\");\\n }\\n else {\\n SQLQuery += \\\" AND gnw_utilisateur.adresse_mail IS NOT ?\\\";\\n }\\n\\n if (group.getId() != null) {\\n SQLQuery += \\\" AND gnw_groupe.id = ?\\\";\\n }\\n else {\\n SQLQuery += \\\" AND gnw_groupe.id IS NOT ?\\\";\\n }\\n\\n preparedStatement = initPreparedQuery(connexion, SQLQuery, true, student.getId(), student.getLastName(), student.getFirstName(), student.getEmailAddress(), group.getId());\\n resultSet = preparedStatement.executeQuery();\\n\\n while (resultSet.next()) {\\n student = map(resultSet);\\n students.add(student);\\n }\\n }\\n catch (SQLException e) {\\n throw new DAOException(e);\\n }\\n finally {\\n silentClosures(resultSet, preparedStatement, connexion);\\n }\\n\\n return students;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed17ae10719d3f9ce34a422ddde5e8cf\",\n \"score\": \"0.5239549\",\n \"text\": \"private static boolean SearchForStudent(String searchName, HashMap<String, Student> students) {\\n boolean foundStudent = false;\\n\\n //loop through the hashmap\\n for (Map.Entry<String, Student> set :\\n students.entrySet()) {\\n //check to see if the student name matches what the user sent in\\n if (searchName.equals(set.getKey())) {\\n //if it does match then let's set our variable to say we found a match\\n foundStudent = true;\\n //since we found a match there is no reason to keep looping so let's break\\n break;\\n }\\n }\\n //return the variable stating if we found a matching student or not\\n return foundStudent;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ddb761fb584e8a2f02e9b1ac0577dfc0\",\n \"score\": \"0.5235145\",\n \"text\": \"@Override\\n\\tpublic void filter(ArrayList<String> a) {\\n\\t\\tSystem.out.println(\\\"University filter\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ce549b35c1f073affcfbd20ce6eea26b\",\n \"score\": \"0.52313316\",\n \"text\": \"private static List<University> filterByName(List<University> universities, String schoolName){\\n\\t\\tList<University> fittingUniversities = new ArrayList<>();\\n\\t\\tschoolName = schoolName.toUpperCase();\\n\\t\\tfor (University school: universities) {\\n\\t\\t\\tif (school.getName().contains(schoolName)) {\\n\\t\\t\\t\\tfittingUniversities.add(school);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn fittingUniversities;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd5bdd1ce8f04f2bf3315d797e125d14\",\n \"score\": \"0.5223663\",\n \"text\": \"List<StudentExam> getByStudent(long studentId);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a2bf1d2a4c18c7b186f5dc197e00df71\",\n \"score\": \"0.5213839\",\n \"text\": \"public List<EnrolledStudent> getEnrolledStudents(String profId);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1fe3bf46754e78dc1b499bd366a527cd\",\n \"score\": \"0.5210766\",\n \"text\": \"public ArrayList<BandMember> filterBySection(ArrayList<BandMember> members, String section) {\\n ArrayList<BandMember> filter = new ArrayList<>();\\n for (BandMember member : members) {\\n if ( member instanceof Student) {\\n if(((Student) member).getSection().equals(section))\\n filter.add(member);\\n }\\n\\n }\\n return filter;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1ac983076487e949e90965e028d1e1fd\",\n \"score\": \"0.52059495\",\n \"text\": \"public String getPredicate(){\\r\\n\\t\\t\\treturn predicate;\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a3d95ba8e3a2b4885afb1e2cbfe18352\",\n \"score\": \"0.5202322\",\n \"text\": \"List<Thesis> getThesesForStudent(Student student) throws ServiceFailureException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"312a7cbeafea843532cf001b854995ff\",\n \"score\": \"0.5193561\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tList<Employee>list=Employee.employees();\\n\\t\\tlist.stream().filter(new Predicate<Employee>() {\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic boolean test(Employee t) {\\n\\t\\t\\t\\treturn t.isMale();\\n\\t\\t\\t}\\n\\t\\t}).peek(s->{\\n\\t\\t\\ts.setIncome(s.getIncome()*1.1);\\n\\t\\t}).forEach(System.out::println);\\n\\t\\tlist.stream().filter(new Predicate<Employee>() {\\n\\n\\t\\t\\t@Override\\n\\t\\t\\tpublic boolean test(Employee t) {\\n\\t\\t\\t\\treturn t.getDateofBirth().isBefore(LocalDate.of(1993, Month.SEPTEMBER,1));\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t}).forEach(System.out::println);\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b71cad91d7188b3e0622a69a711202a4\",\n \"score\": \"0.51918155\",\n \"text\": \"List<Student> getAllStudents();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e950f35213f5a56bde371f3dc12465b5\",\n \"score\": \"0.51816005\",\n \"text\": \"private static void findStudent(ArrayList<Student> student)\\n {\\n System.out.print(\\\"Find a student with the sNumber S\\\");\\n int sNumber = scanner.nextInt();\\n Student found = null;\\n for(Student s : student)\\n {\\n if(s.getSNumber() == sNumber)\\n {\\n found = s;\\n }\\n }\\n\\n if(found != null)\\n {\\n System.out.println(found.toString());\\n } else\\n {\\n System.out.print(\\\"Student not found\\\");\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"651afb6ce3c18415798b3c0754f8954b\",\n \"score\": \"0.51800823\",\n \"text\": \"@FXML\\n\\tprivate void filter() {\\n\\t\\tFilteredList<Stan> filteredList = new FilteredList<>(stanovi, b -> true);\\n\\t\\tfilteredList.setPredicate((data) -> {\\n\\t\\t\\tboolean showItem = true;\\n\\t\\t\\tInteger kvadratura = data.getKvadratura();\\n\\t\\t\\tif (!searchNaslov.getText().isEmpty()) {\\n\\t\\t\\t\\tshowItem = showItem && (data.getNaslov().toLowerCase().contains(searchNaslov.getText().toLowerCase()));\\n\\t\\t\\t}\\n\\t\\t\\tif (!searchOpis.getText().isEmpty()) {\\n\\t\\t\\t\\tshowItem = showItem && (data.getOpis().toLowerCase().contains(searchOpis.getText().toLowerCase()));\\n\\t\\t\\t}\\n\\t\\t\\tif (!searchKvadratura.getText().isEmpty()) {\\n\\t\\t\\t\\tshowItem = showItem && (kvadratura.toString().contains(searchKvadratura.getText()));\\n\\t\\t\\t}\\n\\t\\t\\tif (!searchCijena.getText().isEmpty()) {\\n\\t\\t\\t\\tshowItem = showItem && (data.getCijena().toString().contains(searchCijena.getText()));\\n\\t\\t\\t}\\n\\t\\t\\treturn showItem;\\n\\t\\t});\\n\\n\\t\\tSortedList<Stan> sortedList = new SortedList<>(filteredList);\\n\\t\\tsortedList.comparatorProperty().bind(tableView.comparatorProperty());\\n\\t\\ttableView.setItems(sortedList);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9ce2bb8711547e58c36adc41d38efb4\",\n \"score\": \"0.5177083\",\n \"text\": \"private List<Student> getStudentFromClassroom(Long classroomId) {\\n return studentRepository\\n .findAll()\\n .stream()\\n .filter(student -> student.getClassroom().getId().equals(classroomId))\\n .collect(Collectors.toList());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a8a1fb4fbfbf9b7bcf5a3b8ceaf1e9f2\",\n \"score\": \"0.5175144\",\n \"text\": \"public List<StudentVO> searchStudentList(StudentVO param) throws Exception {\\n\\t\\treturn bizBasicDao.selectStudentList(param);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6c40f9fa1d63a6a4702d25f0ea5c6762\",\n \"score\": \"0.51664186\",\n \"text\": \"@Override\\r\\n\\tpublic List<Student> selectStudentAll() {\\n\\t\\treturn studentMapper.selectStudentAll();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"813d0cee9f19b525dd5ef59409a94ed7\",\n \"score\": \"0.516291\",\n \"text\": \"List<UserDTO> findAllStudents();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"527ad89d95595aa9f3e4c1f791ed013b\",\n \"score\": \"0.51440483\",\n \"text\": \"public static List<Student> getStudents(){\\n\\t\\tList<Student> students = new ArrayList<Student>();\\n\\t\\t\\n\\t\\t// add sample data\\n\\t\\tstudents.add(new Student(\\\"Mangesh\\\", \\\"Gayakwad\\\", \\\"mangesh.g@gmail.com\\\"));\\n\\t\\tstudents.add(new Student(\\\"Anand\\\", \\\"Polas\\\", \\\"anand.p@gmail.com\\\"));\\n\\t\\tstudents.add(new Student(\\\"Sushant\\\", \\\"Ranjan\\\", \\\"sushant.r@gmail.com\\\"));\\n\\t\\tstudents.add(new Student(\\\"Ganesh\\\", \\\"Sahu\\\", \\\"ganesh.s@gmail.com\\\"));\\n\\t\\t\\n\\t\\t// return the list\\n\\t\\treturn students;\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"865a7bc648f59dd94d68a1e4ff692cb2\",\n \"score\": \"0.514318\",\n \"text\": \"public ArrayList<BandMember> filterBySectionLeaders(ArrayList<BandMember> members) {\\n ArrayList<BandMember> filter = new ArrayList<>();\\n for (BandMember member : members) {\\n if ( member instanceof Student) {\\n if (!((Student) member).getSectionLead().equals(\\\"\\\"))\\n filter.add(member);\\n }\\n\\n }\\n return filter;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3faf028a215fca5cd518b690bebe0ff9\",\n \"score\": \"0.51391417\",\n \"text\": \"@Override\\n public List<Student> selectAllNotDistributionStudent(Pagination<Student> pagination) {\\n \\n List<Student> list = distributionMapper.selectAllNotDistributionStudent(pagination);\\n \\n return list;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b8eac621d596822ae7ddbeaadcb85acd\",\n \"score\": \"0.5129698\",\n \"text\": \"public Collection<Student> getAllStudents() {\\n\\t\\treturn null;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6062ddbd29be53d3207576844e69b7b5\",\n \"score\": \"0.5129214\",\n \"text\": \"public List<Student> listStudents() {\\n\\t\\treturn null;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aa688a6d5b0de4908dc1fe64163fe2db\",\n \"score\": \"0.51205724\",\n \"text\": \"@Override\\n public Set<Student> findAll() {\\n //pass each student from the repo to students and return\\n return new HashSet<>(studentRepository.findAll());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"997b3d02f8b067c4ac899e51166ed884\",\n \"score\": \"0.51030296\",\n \"text\": \"@Override\\n\\tpublic List<Student> selectListPage(Student student) {\\n\\t\\treturn studentMapper.selectListPage(student);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"186808b704fc35737734d6d8ea7bff1d\",\n \"score\": \"0.5102365\",\n \"text\": \"public StudentInfoCriteria() {\\n oredCriteria = new ArrayList<Criteria>();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b003abff349f89a9909a8205a93311a1\",\n \"score\": \"0.51008445\",\n \"text\": \"@Override\\n\\tpublic void viewSpecificStudent(int sno) {\\n\\t\\tint k=0;\\n\\t\\tfor(Student bean:addRecords)\\n\\t\\t{\\n\\t\\t\\tif(bean.getSno()==sno)\\n\\t\\t\\t{\\n\\t\\t\\t\\tk++;\\n\\t\\t\\t\\tSystem.out.println(bean);\\n\\t\\t\\t}\\n\\t\\t\\telse\\n\\t\\t\\t{\\n\\t\\t\\t\\tSystem.out.println(\\\"not found\\\");\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39aaa96d8c9b0db74a490d8090a86b7a\",\n \"score\": \"0.51001996\",\n \"text\": \"List<Student> readAllStudent();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"332fd8d5e065f1dcfc9458ed8be69a73\",\n \"score\": \"0.50959605\",\n \"text\": \"@Override\\n\\tpublic List<ExamResult> getstudentsfindByName(String sname) {\\n\\t\\tList<ExamResult> res=eMan.createQuery(\\\"from ExamResult\\\").getResultList();\\n\\t\\treturn res;\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aa5ab7560c7081384bbbc673f73065c1\",\n \"score\": \"0.50956094\",\n \"text\": \"public Student selectStudent(int studentNo);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"307dd7bc8905fdc3fed5c477b0f786e5\",\n \"score\": \"0.5091279\",\n \"text\": \"@Query(\\\"select u from User u where role = 'student' and id not in (select student from StudentCourse sc where course_id = ?1)\\\")\\n List<User> findAllStudentForCourse(int courseId);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5a25087fa250c4b875b177c86f230cb5\",\n \"score\": \"0.50906223\",\n \"text\": \"String getPredicate();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff8225f23e3e52814c21924faf8d2fdc\",\n \"score\": \"0.5067259\",\n \"text\": \"public List<Report> getSemesterResultByStudent(Long studentId, int year, int semester) {\\n return reportRepository.findAll()\\n .stream()\\n .filter(report -> report.getStudent().getId().equals(studentId)\\n && report.getYear() == year\\n && report.getSemester() == semester)\\n .collect(Collectors.toList());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7f54694ebbaa63004299fe9258da003\",\n \"score\": \"0.5064793\",\n \"text\": \"@Override\\n\\tpublic List<Student> getStudent() {\\n\\t\\treturn studentRepository.findAll();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9602243f3f3404c4995f6ddd11fc5322\",\n \"score\": \"0.50447434\",\n \"text\": \"private static void printConditionally(List<Person> people, Predicate<Person> predicate){\\n for(Person p : people){\\n if (predicate.test(p)){\\n System.out.println(p);\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4d010f27d2f277ea432e2441934fde15\",\n \"score\": \"0.5034819\",\n \"text\": \"public List<Student> getAllStudents(String value){\\n return this.studentService.findAll(value);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"33e7623f7be1f13fc3985d9b34070133\",\n \"score\": \"0.502254\",\n \"text\": \"@Override\\n\\tpublic List<Student> getAllStudent() {\\n\\t\\tList<Student> studentList= getAll();\\n\\t\\treturn studentList;\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9b9a9d6cc9e6312f9d962b8eba15c05\",\n \"score\": \"0.5013113\",\n \"text\": \"abstract List<T> filter(List<T> toFilter);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93e39624d52926cca29450d40756adec\",\n \"score\": \"0.50102955\",\n \"text\": \"@GetMapping(\\\"/_search/student-ones\\\")\\n public ResponseEntity<List<StudentOneDTO>> searchStudentOnes(@RequestParam String query, Pageable pageable) {\\n log.debug(\\\"REST request to search for a page of StudentOnes for query {}\\\", query);\\n Page<StudentOneDTO> page = studentOneService.search(query, pageable);\\n HttpHeaders headers = PaginationUtil.generateSearchPaginationHttpHeaders(query, page, \\\"/api/_search/student-ones\\\");\\n return ResponseEntity.ok().headers(headers).body(page.getContent());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"52d8b337f6c9138e76af1b1328e45da0\",\n \"score\": \"0.50088185\",\n \"text\": \"public static void remove(String studentId){\\n Student studentToRemove = null;\\n for (Student s : studentsList){\\n if (Integer.parseInt(s.getStudentId()) == Integer.parseInt(studentId)){\\n studentToRemove = s;\\n }\\n }\\n if (studentToRemove == null){\\n System.out.print(\\\"Student Id: \\\" + studentId + \\\" not found\\\");\\n }\\n else{\\n studentsList.remove(studentToRemove);\\n System.out.print(\\\"Successfully removed student \\\" + studentId);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1dfff34c348e62787dfdd76e9c49d6b6\",\n \"score\": \"0.49970087\",\n \"text\": \"public static void main(String[] args) {\\n\\t\\tList<String> filterd =\\tUtility.getEmployeesList().stream().filter(e -> e.getAge() >20)\\r\\n\\t\\t.peek( e -> System.out.println(\\\"\\\"+e.getAge())).map(e -> e.getFirstName().toUpperCase()).collect(Collectors.toList());\\r\\n\\t\\t\\r\\n\\t\\tSystem.out.println(filterd);\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"349c88345af59f1aa67b382655425eaf\",\n \"score\": \"0.4995028\",\n \"text\": \"public List<StudentDTO> allStudent()throws Exception;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b7f0cbdcd04b23350df09b291866a95e\",\n \"score\": \"0.4992795\",\n \"text\": \"public static void jesus() {\\r\\n\\t\\t\\r\\n\\t\\t//Old fashion way of filtering things\\r\\n\\t\\t\\r\\n\\t\\tSystem.out.println(inventory);\\r\\n\\t System.out.println(greenApples(inventory));\\r\\n\\t //Old fashion way of filtering things\\r\\n\\t // System.out.println(greenApples(inventory));\\r\\n\\t \\r\\n\\t //In this way we are passing a Predicate to filter the apples according to the lambda\\r\\n\\t // expression.\\r\\n\\t List<Apple> myfilter=myCustomFilter(inventory, (Apple a) -> a.getPrice()>8.7);\\r\\n\\t System.out.println(myfilter);\\r\\n\\t \\r\\n\\t //We can also filter by method references in which we pass the Class and the method.\\r\\n\\t List<Apple> myfilterbyred = myCustomFilter(inventory,PracticeTask2::isRedApple);\\r\\n\\t System.out.println(myfilterbyred);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d3148025e56a4e77a18fa36a0e4619d1\",\n \"score\": \"0.4988603\",\n \"text\": \"Specification<E> getFilter();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"80ceb801357017e83a9eadbff5c93626\",\n \"score\": \"0.49870622\",\n \"text\": \"public List<StudentParticipation> findByExerciseAndStudentId(Exercise exercise, Long studentId) {\\n if (exercise.isTeamMode()) {\\n Optional<Team> optionalTeam = teamRepository.findOneByExerciseIdAndUserId(exercise.getId(), studentId);\\n return optionalTeam.map(team -> studentParticipationRepository.findByExerciseIdAndTeamId(exercise.getId(), team.getId())).orElse(List.of());\\n }\\n return studentParticipationRepository.findByExerciseIdAndStudentId(exercise.getId(), studentId);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5749c62a95c5982fe56c29f87c89536e\",\n \"score\": \"0.49853814\",\n \"text\": \"public void filter(String query) {\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2322666015cd609be1f0b3024d6af8a6\",\n \"score\": \"0.49845868\",\n \"text\": \"public ResultSet getStudent(int id);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9aa46431a060a91f10b3fd3b7e9bf72b\",\n \"score\": \"0.4983174\",\n \"text\": \"public ArrayList<BandMember> filterByHasInstrument(ArrayList<BandMember> members) {\\n ArrayList<BandMember> filter = new ArrayList<>();\\n for (BandMember member : members) {\\n if( member instanceof Student) {\\n if (((Student) member).getInstrument() != null) {\\n filter.add(member);\\n }\\n }\\n }\\n return filter;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4c5e9950dcd7f27ad8cdad8f0d759520\",\n \"score\": \"0.49831015\",\n \"text\": \"void removeStudent(Student s) {\\n studentList.remove(s);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"79c93472759885aea3312e6394af51f7\",\n \"score\": \"0.49819657\",\n \"text\": \"public List<Student> getAllStudent() {\\n\\t\\tString query=\\\"Select * from student\\\";\\n\\t\\tList<Student> students=this.jdbctemplet.query(query, new RawMapperImpl());\\n\\t\\treturn students;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b5bf281887f9a028b589b9d32a9320e7\",\n \"score\": \"0.4979115\",\n \"text\": \"private boolean createFilterPredicate(String newValue, Person person) {\\n if (newValue == null || newValue.isEmpty()) {\\n return true;\\n }\\n\\n // Compare first name and last name of every person with filter text.\\n String lowerCaseFilter = newValue.toLowerCase();\\n\\n if (person.firstNameProperty().getValue().toLowerCase().contains(lowerCaseFilter)) {\\n return true; // Filter matches first name.\\n } else if (person.lastNameProperty().getValue().toLowerCase().contains(lowerCaseFilter)) {\\n return true; // Filter matches last name.\\n }\\n return false; // Does not match.\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d614c0b9da92397af61f1a59dba1981e\",\n \"score\": \"0.49729463\",\n \"text\": \"@Override\\n public List<MovementInterface> movimentiFiltratiPer(Predicate<MovementInterface> predicate){\\n List<MovementInterface> lista = new ArrayList<>();\\n lista = movimenti;\\n lista = lista.stream().filter(predicate).collect(Collectors.toList());\\n return lista;\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f95414b416b772c75e7e9fbdbea8833\",\n \"score\": \"0.49721944\",\n \"text\": \"@Test\\n public void predicateExample() {\\n Predicate<Integer> evenNumber = i -> i % 2==0;\\n System.out.println(evenNumber.test(10));\\n\\n //Example#2\\n Predicate<Integer> oddNumber = i -> i % 3==0;\\n for (int i=1;i<10;i++) {\\n System.out.println(oddNumber.test(i));\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8dd0e95f0a1684a1412462042900a1dd\",\n \"score\": \"0.49692625\",\n \"text\": \"@Override\\n protected FilterResults performFiltering(CharSequence constraint) {\\n ArrayList<TennisUser> filtered = new ArrayList<>();\\n\\n /* Null or empty constraints. */\\n if (constraint == null || constraint.length() == 0) {\\n filtered.addAll(completePlayers);\\n }\\n else {\\n String filterSequence = constraint.toString().toLowerCase().trim();\\n for (TennisUser t : completePlayers) {\\n String fullName = t.getFname() + \\\" \\\" + t.getLname();\\n /* If the users full name contains the constraint, add it to the filtered list. */\\n if (fullName.toLowerCase().contains(filterSequence)) {\\n filtered.add(t);\\n }\\n }\\n }\\n /* Return the filtered list. */\\n FilterResults results = new FilterResults();\\n results.values = filtered;\\n return results;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a26d34534f5c6a1e841716f098d5ea81\",\n \"score\": \"0.49688378\",\n \"text\": \"@Override\\n\\tpublic List<StudentVO> findByAndSort(String lastname, Sort sort) {\\n\\t\\treturn studentRepo.findByAndSort(\\\"R\\\", new Sort(\\\"lastName\\\")); \\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7d713465aff80c8264baa81b2393aef3\",\n \"score\": \"0.49622476\",\n \"text\": \"public static void main(String[] args) {\\n ArrayList<Student> studentList = new ArrayList<Student>();\\n studentList.add(new Student(\\\"Sujit\\\", 1));\\n studentList.add(new Student(\\\"Siddharth\\\", 2));\\n studentList.add(new Student(\\\"Karanpreet\\\", 3));\\n studentList.add(4,new Student(\\\"Hari\\\", 4));\\n studentList.add(3, new Student(\\\"Tricha\\\", 5));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3d20b6459a0ee89038ee35254385af85\",\n \"score\": \"0.49612594\",\n \"text\": \"private void searchStudent(String sName) {\\n \\ttry {\\n \\t\\tif (sName.contentEquals(\\\"\\\")) {\\n \\t\\tsearchError.setText(\\\"Please Enter a UID!\\\");\\n \\t\\t} else {\\n \\t\\t\\ttoServer.writeUTF(\\\"search,\\\" + sName);\\n toServer.flush();\\n String response = fromServer.readUTF();\\n String[] studentData = response.split(\\\",\\\");\\n\\n if(studentData[0].equals(\\\"students\\\")){\\n displayResponse(\\\"Searching for surname: \\\" + sName);\\n \\tstudentList = decodeUserData(studentData);\\n getDisplayStudent(\\\"init\\\");\\n displayResponse(\\\"User found and displayed\\\");\\n searchError.setText(\\\"\\\");\\n } else{\\n displayResponse(\\\"Error Searching for Student Data\\\");\\n }\\n \\t\\t}\\n } catch (java.net.SocketException e){\\n displayResponse(\\\"Connection to Database Lost\\\");\\n }catch (Exception e){\\n displayResponse(\\\"No Student with surname: \\\" + sName + \\\"\\\\nReturning to start of database\\\");\\n getStudentData();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"455a6b6798f17f8888d2e3379bd2d022\",\n \"score\": \"0.49595323\",\n \"text\": \"public Students getStudent() {\\n return student;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5576617264519cf914b3de6722f1683c\",\n \"score\": \"0.49591082\",\n \"text\": \"public ArrayList<BandMember> filterByspecInstrument(ArrayList<BandMember> members, Instrument instrument) {\\n ArrayList<BandMember> filter = new ArrayList<>();\\n for (BandMember member : members) {\\n if ( member instanceof Student) {\\n if (((Student) member).getInstrument() == instrument) {\\n filter.add(member);\\n break;\\n }\\n }\\n\\n }\\n return filter;\\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 |
|---|---|---|---|
b64f865f5da72c0d266a56e65ddfd032 | .DoctorDiagnosticCatalogEnum catalog = 4; | [
{
"docid": "289df4fc6c067dcbdb14a59ca86de7f0",
"score": "0.0",
"text": "public Builder setCatalogValue(int value) {\n catalog_ = value;\n onChanged();\n return this;\n }",
"title": ""
}
] | [
{
"docid": "d9f057a11f4fd35767e2166d857406d6",
"score": "0.76435226",
"text": "top.itcat.pb_gen.common.MedicalRecordModel.DoctorDiagnosticCatalogEnum getCatalog();",
"title": ""
},
{
"docid": "d9f057a11f4fd35767e2166d857406d6",
"score": "0.76435226",
"text": "top.itcat.pb_gen.common.... |
541d794040323055697a26b331dfb201 | invoke the application's "NewStatus" event handler. | [
{
"docid": "3cf2d49770e27e23b1f949494eed9d7b",
"score": "0.7507368",
"text": "@SimpleEvent\r\n public void NewStatus(int iStatus)\r\n {\n EventDispatcher.dispatchEvent(this, \"NewStatus\", iStatus);\r\n }",
"title": ""
}
] | [
{
"docid": "a3b38bb3e86abb4ad56313338e8e5755",
"score": "0.71261746",
"text": "public void statusChanged(int status);",
"title": ""
},
{
"docid": "b7ef4bbbd54aa270ed7111bbe08b3e29",
"score": "0.66982406",
"text": "protected void statusChanged() {\n // Process state changed\n ... |
c91ab846c758208399e70fb78725223f | construtor com entrada da chave e Node dir e esq | [
{
"docid": "f84b11b050a3f1a66ff180826c3d95e4",
"score": "0.61973065",
"text": "public Node(int x,Node esq,Node dir){\r\n\t\tthis.info = x;\r\n\t\tthis.dir = dir;\r\n\t\tthis.esq = esq;\r\n\t\tthis.pai = null;\r\n\t\tthis.dir.pai = this;\r\n\t\tthis.esq.pai =this;\r\n\r\n\t}",
"title": ""
}
] | [
{
"docid": "dd94a518cea1655592ea40ac1957531c",
"score": "0.6545569",
"text": "public DireccionMaquinas(String dir){\n\t\tdireccion = dir;\n\t\tmaquinas = new BSTree<MaquinaContador>();\n\t}",
"title": ""
},
{
"docid": "7ac6c949d71c4e5ea8f5cd6132bdcd18",
"score": "0.6224365",
"text": ... |
b8b636c2c9c71ebed3c3c899c98910c2 | Declare the interface. The method messageReceived(String message) will must be implemented in the Activity class at on asyncTask doInBackground | [
{
"docid": "242ebc9c4a5a82883e258d129353f39d",
"score": "0.7751403",
"text": "public interface OnMessageReceived {\n void messageReceived(String message);\n }",
"title": ""
}
] | [
{
"docid": "67546562b53e2b457bcea9a6b1c4e66c",
"score": "0.77085674",
"text": "public interface OnMessageReceived {\n public void messageReceived(String message);\n }",
"title": ""
},
{
"docid": "71d7225cbddc69ca8302df4c0e22404e",
"score": "0.755098",
"text": "public abstra... |
71590cc8ca6d2fc791cb4cfe2b0a1ed0 | optional .proto.TimeStringMessage delete_time = 7; | [
{
"docid": "e353f56001658786eeda104035939757",
"score": "0.764923",
"text": "public Builder setDeleteTime(loader.elbrus.proto.CommonProto.TimeStringMessage value) {\n if (deleteTimeBuilder_ == null) {\n if (value == null) {\n throw new NullPointerException();\n }\n ... | [
{
"docid": "5afa31d98a25dbcae738bb3baab2cbbc",
"score": "0.8938106",
"text": "loader.elbrus.proto.CommonProto.TimeStringMessageOrBuilder getDeleteTimeOrBuilder();",
"title": ""
},
{
"docid": "3861dadeac9f91aeabb7cebfa658363b",
"score": "0.88097745",
"text": "loader.elbrus.proto.Commo... |
061787d135eadfddf0c3b88b9482e20c | Called when the command is initially scheduled. | [
{
"docid": "fbc405f5e26d1b254e6558326a7bdb4f",
"score": "0.0",
"text": "@Override\n public void initialize() {\n //talonOrchestra.playMusic();\n }",
"title": ""
}
] | [
{
"docid": "756ba566574103571931d98a087cdf6a",
"score": "0.6946123",
"text": "private void beginSchedule(){\n\t\tDivaApp.getInstance().submitScheduledTask(new RandomUpdater(this), RandomUpdater.DELAY, RandomUpdater.PERIOD);\n\t}",
"title": ""
},
{
"docid": "04cdd56a151d17d6f0dc2984a1bdef37",... |
87baa5d40726bd213ede74548e6ef167 | deck ID ist der eindeutige Schl?ssel um auf die Card Objekte im HashMap zugreifen zu k?nnen. | [
{
"docid": "065960aae7b7584d147e8f153b3cd04d",
"score": "0.0",
"text": "private void fillDeck(int noOfSuits) {\n\t\tint deckID = 0;\r\n\r\n\t\t// Alle 45 Karten werden die entsprechenden Farben und Rankings\r\n\t\t// zugeordnet\r\n\r\n\t\tfor (int i = 0; i < noOfSuits; i++) { // Zuerst werden alle gelbe... | [
{
"docid": "c3aa3cc69d6e5006e665e2753a8e00e6",
"score": "0.66451585",
"text": "public String getIdCard() {\r\n return idCard;\r\n }",
"title": ""
},
{
"docid": "7624819caaf2d8540e28f5afe647a0de",
"score": "0.66063887",
"text": "List<Carddeck> findDeckByCardId(long id);",
... |
765d94ffce816ba86552c132dc4db0ad | Returns true if field corresponding to fieldID is set (has been assigned a value) and false otherwise | [
{
"docid": "aaef44e0c6bdbf03c3f4cc0ee55abacc",
"score": "0.0",
"text": "public boolean isSet(_Fields field) {\n if (field == null) {\n throw new java.lang.IllegalArgumentException();\n }\n\n switch (field) {\n case T_TOGGLE_OFF_REQUEST:\n return isSetTToggleOffRequest()... | [
{
"docid": "9d6cf1f4b0cf9dd5a9e3dc8c0c85a356",
"score": "0.8070097",
"text": "public boolean isSet(int fieldID) {\n switch (fieldID) {\n case NAME:\n return isSetName();\n case VALUE:\n return isSetValue();\n case TIMESTAMP:\n return isSetTimestamp();\n default:\n thro... |
f65824e45288a5038b4eba56f852a46c | Consulta informacion de saldoscuenta. | [
{
"docid": "a7e045e0b5d4c6f3137b78314c22ae97",
"score": "0.5609829",
"text": "@SuppressWarnings({ \"unchecked\" })\n\tpublic List<Saldoscuenta> listSaldoscuentasByUsername(Saldoscuenta saldoscuenta, String id) {\n\t\tList<Saldoscuenta> saldoscuentas = sessionFactory.getCurrentSession().createCriteria(Sa... | [
{
"docid": "1496c1d199d174f6658b9a6dda436b7e",
"score": "0.6508704",
"text": "public int getSaldo() {\n final FinancedataDao dao = getDbi().open(FinancedataDao.class);\n try {\n return dao.selectSaldo();\n } finally {\n dao.close();\n }\n }",
"tit... |
8f300dc1e34bf3bbd88b6de02c4506a6 | TODO it needs to be created a second jsp for when already connected | [
{
"docid": "f191662fc265f4f929a322a8aa4d8f4f",
"score": "0.0",
"text": "@RequestMapping(\"/contact\")\n\tpublic ModelAndView contact() {\n\t\treturn new ModelAndView(\"contact\");\n\t}",
"title": ""
}
] | [
{
"docid": "1f3e0bddc4d3044b2422dc14be69a028",
"score": "0.63962823",
"text": "public void jspInit() {\n\t\t\n\t}",
"title": ""
},
{
"docid": "b11840bcdd822f07be4a6df1a707a8da",
"score": "0.6167646",
"text": "public void jspInit()\r\n {\r\n super.jspInit();\r\n try\r\n {\r\... |
8a6057852aaa3d1779b341b4678da9d1 | / access modifiers changed from: 0000 | [
{
"docid": "95dc9c3d83bc41ea858ae111a98b7556",
"score": "0.0",
"text": "public abstract void zzf(Object obj);",
"title": ""
}
] | [
{
"docid": "40cc4730f745534f2162681c375f178f",
"score": "0.6631543",
"text": "AbstractC7369o0OO0O0 m18905OooO00o();",
"title": ""
},
{
"docid": "b8b97012f0364f42dbdcdcb5e2c35622",
"score": "0.642921",
"text": "private PermissionBitIndex() {\n }",
"title": ""
},
{
"doci... |
9fe425db7da09d86e250f439d1e00ff8 | Test case number: 111 /Coverage entropy=0.3250829733914482 | [
{
"docid": "8545f1620be6ea92959f2f67e16dd815",
"score": "0.0",
"text": "@Test(timeout = 4000)\n public void test111() throws Throwable {\n ClassWriter classWriter0 = new ClassWriter(1299);\n String[] stringArray0 = new String[4];\n stringArray0[0] = \"StackMapTable\";\n stringArra... | [
{
"docid": "d6df76b4cd9e17e2c3e4b99debdb01f6",
"score": "0.7125739",
"text": "@Test\n public void test16() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = n... |
90c436b95e627e5b9a36df917a89860b | / Callback invoked when the surface dimensions change. | [
{
"docid": "e87415c571d775085b05d04ce3ada05a",
"score": "0.72550446",
"text": "public void surfaceChanged(SurfaceHolder holder, int format, int width,\n\t\t\tint height) {\n\t\tthread.setSurfaceSize(width, height);\n\t}",
"title": ""
}
] | [
{
"docid": "9fe2cf31a417e70e5ddbbf5afb3bf6c8",
"score": "0.79065305",
"text": "void onSurfaceChanged(int width, int height);",
"title": ""
},
{
"docid": "eb902044ae2a3df03317a9dcc9d8188c",
"score": "0.78976417",
"text": "public abstract void onSurfaceChanged(int width, int height);",... |
c338a80b7411d530835d3404e63c1ab6 | iValue = iNo;// not possible cannot assign a value to final variable iValue | [
{
"docid": "f827c22b106e3e921d33827d663333b7",
"score": "0.6907801",
"text": "public void setValue(int iNo)\n \t{\n \t}",
"title": ""
}
] | [
{
"docid": "dfa38cafb8e4ba6baebc8abb9040b828",
"score": "0.72146434",
"text": "private int finalValue(int num) {\r\n\t\tint value = num;\r\n\t\treturn value;\r\n\t}",
"title": ""
},
{
"docid": "0817f8453abdb11342295e6c97d6ddee",
"score": "0.64333093",
"text": "public PSObjectInt(fina... |
8dc0d6096a503025819b7ac74e37a63f | ARRANGE for simple methods, this means setting up the parameters | [
{
"docid": "f291fa46608b8e852853a5298ef56d3a",
"score": "0.0",
"text": "@Test\n public void testArrayOneNumNegative() {\n int[] array = {-5};\n \n \n // ACT - for simple methods, this generally means calling the method under test\n // and then capturing its return t... | [
{
"docid": "49801c54da80c2877b23f8478faca40b",
"score": "0.61925846",
"text": "@Override\n\tprotected void initAdditionalParameters() {\n\t\t\n\t}",
"title": ""
},
{
"docid": "46106d0325f9affc02d5efd5121c9bbc",
"score": "0.61874545",
"text": "@Override\n protected void initAdditiona... |
ddc6b408da8cadf3b0983a69c8512e46 | Clean memory. Note: This method is automatically called after timer is over and after a restoration. | [
{
"docid": "28e2460ced9ac6a79ada4e2fcc51c288",
"score": "0.0",
"text": "public void emptyBin() {\n\t\tmDeletedItems = null;\n\t\tmOriginalPosition = null;\n\t}",
"title": ""
}
] | [
{
"docid": "48c11adde8d0153582e6c3a867a9b5c1",
"score": "0.7832182",
"text": "public void cleanMemory(){\r\n\t\tthis.runFinializationOnObjects();\r\n\t\tthis.runGarbageCollection();\r\n\t}",
"title": ""
},
{
"docid": "ab11216f2f189cd6d0b4458c917ab3ea",
"score": "0.7093507",
"text": "... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "4111ae6c0407a594e909edc05895ea27",
"score": "0.0",
"text": "@Override\n\tpublic void removeTopicType(String topicTypeId) throws Exception {\n\n\t}",
"title": ""
}
] | [
{
"docid": "3d9823aba51891281b4bbd4b1818b970",
"score": "0.66708666",
"text": "@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "0b5b11f4251ace8b3d0f5ead186f7beb",
"score": "0.65675074",
"text": "@Override\n\tpublic void comer() {\n\t\t\n\t}",
"... |
2149d3c5a7e85a047fbdc5ec38981a54 | / constant_declarator [(',' constant_declarator)] | [
{
"docid": "2fbcbccffa60683c6b42cfd7f0776e88",
"score": "0.5453695",
"text": "public static boolean constant_declarators(PsiBuilder b, int l) {\n if (!recursion_guard_(b, l, \"constant_declarators\")) return false;\n if (!nextTokenIs(b, IDENTIFIER)) return false;\n boolean r;\n Marker m = en... | [
{
"docid": "c9027c15cc8ecaae1fed026216131690",
"score": "0.6342605",
"text": "public static boolean constant_declarator(PsiBuilder b, int l) {\n if (!recursion_guard_(b, l, \"constant_declarator\")) return false;\n if (!nextTokenIs(b, IDENTIFIER)) return false;\n boolean r;\n Marker m = ente... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "8eb2fcab9dae3ad82124d1e85132d6e4",
"score": "0.0",
"text": "public static void print(String comment, String str) {\n\t\tSystem.out.println(comment + str);\n\t}",
"title": ""
}
] | [
{
"docid": "ffe5fe3cec40acf4b0b07ea257dfa06a",
"score": "0.6831473",
"text": "private void apparence()\r\n\t\t{\r\n\r\n\t\t}",
"title": ""
},
{
"docid": "838a915c9ea69d56cc37df198cff9cb2",
"score": "0.67589027",
"text": "@Override\n\t\t\t\tpublic void pintar() {\n\t\t\t\t\t\n\t\t\t\t... |
df72d0bc1649b1460796e7dbbdff73de | TODO create a proper to String | [
{
"docid": "39902adc111fca3615748be5ffe2df0f",
"score": "0.0",
"text": "@Override\n public String toString()\n {\n return \"Logger has logged\";\n }",
"title": ""
}
] | [
{
"docid": "bef247d68a25f78625636fcc03ee5865",
"score": "0.6576424",
"text": "public abstract String toInfoString();",
"title": ""
},
{
"docid": "a0ee2e8f211459628f20f5afe0ccd01b",
"score": "0.65102345",
"text": "java.lang.String getConverted();",
"title": ""
},
{
"docid"... |
8eda1cd7df9a9b5edf65c2b716078728 | This method was generated by MyBatis Generator. This method returns the value of the database column TFSTRX.BILL_OF_LANDING_NO | [
{
"docid": "bea710df22be978a8684086f6423700c",
"score": "0.7639571",
"text": "public String getBILL_OF_LANDING_NO() {\r\n return BILL_OF_LANDING_NO;\r\n }",
"title": ""
}
] | [
{
"docid": "98a45b00dc59a852e7aeb8335a759ab2",
"score": "0.71251005",
"text": "public void setBILL_OF_LANDING_NO(String BILL_OF_LANDING_NO) {\r\n this.BILL_OF_LANDING_NO = BILL_OF_LANDING_NO == null ? null : BILL_OF_LANDING_NO.trim();\r\n }",
"title": ""
},
{
"docid": "1110736058eb... |
a61c6a28320abf4e717ef8a4b92b2cc5 | /final int prime = 31; int result = 1; result = prime result + ((empId == null) ? 0 : empId.hashCode()); return result; | [
{
"docid": "f0b25ebdd3d7b2e013344d70c935c794",
"score": "0.79264814",
"text": "@Override\r\n\tpublic int hashCode() {\r\n\t\treturn empId.hashCode();\r\n\t}",
"title": ""
}
] | [
{
"docid": "5dd59fb79e4a5baf0f42c1a06ae79ff0",
"score": "0.82691216",
"text": "@Override\n public int hashCode() {\n int hash = 0;\n hash += (empId != null ? empId.hashCode() : 0);\n return hash;\n }",
"title": ""
},
{
"docid": "af150a524d192d70d90096739c2579e5",
... |
cbcd7d037533cab65450840a4fd4b1f7 | Cierre de la conexion | [
{
"docid": "8b3904beffbe42d7111a1898e3d752a7",
"score": "0.0",
"text": "public static void close(Connection conn) {\r\n\t\ttry {\r\n\t\t\tif (conn != null) {\r\n\t\t\t\tconn.close();\r\n\t\t\t}\r\n\t\t} catch (SQLException sqle) {\r\n\t\t\tsqle.printStackTrace();\r\n\t\t}\r\n\t}",
"title": ""
}
] | [
{
"docid": "e39671074c52b95f33707defb2ffaae7",
"score": "0.7845013",
"text": "public void conNacional(){\n System.out.println(\"Se realizo la conexion con el registro\");\n }",
"title": ""
},
{
"docid": "04641bcb5f400ca0c53e2223adde9baf",
"score": "0.75710255",
"text": "pub... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "df375f58aabec1bbceca1b8e1f44d286",
"score": "0.0",
"text": "@Override\n\tpublic Friends getModel() {\n\t\treturn friend;\n\t}",
"title": ""
}
] | [
{
"docid": "74a4209c94e08d9f5eb0b60e580f5e04",
"score": "0.68873143",
"text": "@Override\r\n\tpublic void comit() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "b645eacb329adc01490ab5013a6c4f7f",
"score": "0.6730782",
"text": "@Override\n\t\t\tpublic void perfom() {\n\n\t\t\t}",
"ti... |
5b6f89402c93de18a019e7a7e4bf6263 | End of formal parameters Statements | [
{
"docid": "b70d0ef363ddeea861d850b5d241cfdb",
"score": "0.0",
"text": "public VariableDeclaratorListTreeImpl LOCAL_VARIABLE_DECLARATION_STATEMENT() {\n return b.<VariableDeclaratorListTreeImpl> nonterminal(JavaLexer.LOCAL_VARIABLE_DECLARATION_STATEMENT).is(\n f.completeLocalVariab... | [
{
"docid": "2d69ae4b970b44ff26c49d5fac0b461a",
"score": "0.65097123",
"text": "public void endVisit(MethodRefParameter node) {\n // default implementation: do nothing\n }",
"title": ""
},
{
"docid": "6bb77b9f0780add275e265928006b430",
"score": "0.6234801",
"text": "@Overrid... |
9625c1ad1dd47b30fc908e93c4f76c9a | int32 client_uuid = 1; | [
{
"docid": "ed00e42081efdb0daa384e5b356813d2",
"score": "0.631114",
"text": "@java.lang.Override\n public int getClientUuid() {\n return clientUuid_;\n }",
"title": ""
}
] | [
{
"docid": "cce28da517e0e26fde39672e7bdd92c1",
"score": "0.8365834",
"text": "int getClientuuid();",
"title": ""
},
{
"docid": "cce28da517e0e26fde39672e7bdd92c1",
"score": "0.8365834",
"text": "int getClientuuid();",
"title": ""
},
{
"docid": "cce28da517e0e26fde39672e7bdd... |
134249f239f2855cfef168a9b2635096 | The interface defining all the services for AzureQueueStorageServices to be used by the proxy service to perform REST calls. | [
{
"docid": "b45b4478ae509ada145d845a63966543",
"score": "0.70673877",
"text": "@Host(\"{url}\")\n @ServiceInterface(name = \"AzureQueueStorageSer\")\n public interface ServicesService {\n @Put(\"/\")\n @ExpectedResponses({202})\n @UnexpectedResponseExceptionType(QueueStorageEx... | [
{
"docid": "48a7a2ecadd432761802f9e7b980ac45",
"score": "0.7308164",
"text": "ServicesImpl(AzureQueueStorageImpl client) {\n this.service = RestProxy.create(ServicesService.class, client.getHttpPipeline(), client.getSerializerAdapter());\n this.client = client;\n }",
"title": ""
}... |
27995d61225e1fcfe03ac28a2005d69a | Containers: '[[' typeContainer=TypeContainer conditions+=Condition ']]'; | [
{
"docid": "6d0de5f635a279bdae9abef499fbd82d",
"score": "0.0",
"text": "@Override public ParserRule getRule() { return rule; }",
"title": ""
}
] | [
{
"docid": "1504d6bae8e3c9be3574a2773fcad38d",
"score": "0.5333075",
"text": "private boolean isContainer(String type) {\n for (int i=0; i<CONTAINER_TYPES.length; i++) {\n if (type.equals(CONTAINER_TYPES[i])) return true;\n }\n return false;\n }",
"title": ""
},
{
"docid": "ec... |
7e10d94edbf6820c0271797aebc61b6a | just to make sure there are no DOUBLE pages being sent | [
{
"docid": "22a81039a320fd286d831aa00f3658c0",
"score": "0.0",
"text": "protected static void streamJSP(AuthRequest ar, String jspName) throws Exception {\n if (ar.req.getAttribute(\"wrappedJSP\")!=null) {\r\n throw new Exception(\"wrappedJSP has already been set to (\"+ar.req.getAttri... | [
{
"docid": "d152a465acd38796a89b75b23a646ac5",
"score": "0.56320995",
"text": "public void denyNext() {\n deny = true;\n }",
"title": ""
},
{
"docid": "d91abd98d06e1ec63707adf22041c929",
"score": "0.5580418",
"text": "@Test\n\tvoid dontStoreNotRenderedPage()\n\t{\n\t\tteste... |
b91f8047f9c75d175fa74dc5e848ab97 | Get the msec delta between this computer's time and the server time. Don't worry about time zones, because we correct for this later. | [
{
"docid": "51ed8a66056a8ae8cfc153727624a929",
"score": "0.7455796",
"text": "private long getTimeDelta() throws IOException\n {\n long beforeRefresh = System.currentTimeMillis();\n String timeStr = refreshTime();\n long afterRefresh = System.currentTimeMillis();\n \n // Syste... | [
{
"docid": "060d892289c2590a2c66794a1e62b6b3",
"score": "0.6313004",
"text": "double getServertime();",
"title": ""
},
{
"docid": "bdaf8253484103beb23f42f615fe01af",
"score": "0.62790924",
"text": "int get_time_delta()\n \t{\n \t\tlong new_time = Time.get_time_ms();\n \t\tint delta =... |
e3e417010954e6c978b06bc22ee30b12 | Rule 5 Generic interface can have any number of type parameters. Class implementing generic interface at least must have same type of parameters and at most can have any number of parameters | [
{
"docid": "c08b71c3aa3160a2924ed3d27333d6ce",
"score": "0.7478285",
"text": "interface GenericInterfacesss<T1, T2, T3, T4>\r\n{\r\n //Generic interface with 4 type parameters\r\n}",
"title": ""
}
] | [
{
"docid": "eba1cb994d6debf5e5b3a43ab4de9778",
"score": "0.6494266",
"text": "interface GenericInterfacee<T>\r\n{\r\n //Generic interface with one type parameter\r\n}",
"title": ""
},
{
"docid": "b8114ee374046fe617ec59d256f7c4d6",
"score": "0.6061422",
"text": "public interface Ac... |
2b394c77ec491e105d6f244cb1878872 | validates the string and returns the max valid size. GFG link: | [
{
"docid": "2d8dacd18c10fadb295de2a761fd1615",
"score": "0.0",
"text": "public int validSubString(String expression) {\n\t\tif (expression.isEmpty()) {\n\t\t\treturn 0;\n\t\t}\n\t\tDeque<Integer> deque = new ArrayDeque<>();\n\t\tint maximum = 0;\n\t\tfor (int i = 0; i < expression.length(); i++) {\n\t\t... | [
{
"docid": "24f07714e8d9f719ed6c0a8523ba5388",
"score": "0.77955806",
"text": "private boolean validateMax(String str, Long size) {\n return str.length() > size ? true : false;\n }",
"title": ""
},
{
"docid": "4f8602f6ed74b1e5aab638e04fb4f2f2",
"score": "0.75490886",
"text"... |
f061043a52b69ded9b4a2a7d3ea5b984 | listen for horizontal list item click | [
{
"docid": "0de8561de25fa61ad5063d12a634d854",
"score": "0.642545",
"text": "@Override\n\tpublic void onListClick(String title) {\n\n\t}",
"title": ""
}
] | [
{
"docid": "cac9227a6372c338b738d37e56799cfd",
"score": "0.6749265",
"text": "@Override\r\n public void onItemClick(AdapterView<?> adapterView, View view, int pos, long l) {\n listListenerAct(values[pos]);\r\n }",
"title": ""
},
{
"docid": "05d93b82c4ef5f... |
b2a9687414ed7fec242f2a1ee6038659 | Removes the specified property change listener. | [
{
"docid": "0686426e1e1287fc6716513563323002",
"score": "0.7223007",
"text": "public synchronized void removePropertyChangeListener(String string,\n PropertyChangeListener propertyChangeListener) {\n pcs.removePropertyChangeListener(string, propertyChangeListener);\n }",
"title"... | [
{
"docid": "41fb124f24f77e632a8b5cbed12317a1",
"score": "0.8817295",
"text": "public void removePropertyChangeListener(@NotNull PropertyChangeListener listener) {\n }",
"title": ""
},
{
"docid": "3032ace02eee4f8b6456472b5ae55c56",
"score": "0.8643112",
"text": "public void removeP... |
ee1076c25878b03faf2a6e35e28cb08c | Generates a hash code for the receiver. This method is supported primarily for hash tables, such as those provided in java.util. | [
{
"docid": "c8932fafa83c61e3ec6ad0eb8671f5fa",
"score": "0.0",
"text": "public int hashCode() {\n\t// Insert code to generate a hash code for the receiver here.\n\t// This implementation forwards the message to super. You may replace or supplement this.\n\t// NOTE: if two objects are equal (equals(Obje... | [
{
"docid": "8b59096484d258d8abd7b17d6daa2343",
"score": "0.74303097",
"text": "public int hashcode();",
"title": ""
},
{
"docid": "fec1069ac0b32cae9fe540d27191d6d2",
"score": "0.7353069",
"text": "public int generateHashCode() {\n int code = getClass().hashCode();\n boo... |
339e561172a13dec2abf09d39b6890ea | Creates a new Tatli RecordBuilder by copying an existing Builder | [
{
"docid": "d3be5eb506d5a8e54f283b85137bfbed",
"score": "0.67068034",
"text": "public static tr.com.siparis.sistemi.kafka.model.Tatli.Builder newBuilder(tr.com.siparis.sistemi.kafka.model.Tatli.Builder other) {\n return new tr.com.siparis.sistemi.kafka.model.Tatli.Builder(other);\n }",
"title": ... | [
{
"docid": "5f78625df886154c2079de31f08bf494",
"score": "0.7098542",
"text": "private Builder(com.aakash.wal.record.WALRecord.Builder other) {\n super(other);\n if (isValidValue(fields()[0], other.trxId)) {\n this.trxId = data().deepCopy(fields()[0].schema(), other.trxId);\n fiel... |
88c43d260adc0245563911bc9df05a05 | SCREEN STATE To insert the screen state into the database | [
{
"docid": "2b233e1d25bd8756be2794ce0a1a3fc4",
"score": "0.715258",
"text": "public void inserScreenstate(String state,String time){\n\t\ttry {\n\t\t\tif (!getLastrow().equals(\"noLastDetails\") || id != 0) {\n\t\t\t\tgetTotal(state, time);\n\t\t\t\tLog.d(\"De\", id+\"\");\n\t\t\t} else {\n\t\t\t\tid++;... | [
{
"docid": "8b265a11d249c4396341ab590f8e416c",
"score": "0.60759515",
"text": "private void saveState() {\n\n\t\tif (!backbuttom) {\n\t\t\tString user = mUserText.getText().toString();\n\t\t\tString pill = mPillText.getText().toString();\n\t\t\tString days = mDaysText.getText().toString();\n\t\t\tString... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "55688c1fc7474a13daa364257c71955b",
"score": "0.0",
"text": "@Override\n\tpublic int insert5(YiJianHuiFu record) {\n\t\treturn yijianhuifuMapper.insert5(record);\n\t}",
"title": ""
}
] | [
{
"docid": "74a4209c94e08d9f5eb0b60e580f5e04",
"score": "0.68867725",
"text": "@Override\r\n\tpublic void comit() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "b645eacb329adc01490ab5013a6c4f7f",
"score": "0.67295986",
"text": "@Override\n\t\t\tpublic void perfom() {\n\n\t\t\t}",
"t... |
98bbe6f22b257816de943059393edd16 | Constructor for empty Props with parent override. | [
{
"docid": "3ac723613f809bc7d9a3a8896dbc3be5",
"score": "0.6712018",
"text": "public Props(Props parent) {\n this._current = new HashMap<String, String>();\n this._parent = parent;\n }",
"title": ""
}
] | [
{
"docid": "fda687967ad5efeb5491c3afdb368ef6",
"score": "0.78277314",
"text": "public Props() {\n this(null);\n }",
"title": ""
},
{
"docid": "a94dd0d8366a5534d3ebf187182fd140",
"score": "0.6622348",
"text": "@Override\r\n public void init(Properties props) {\r\n // do nothin... |
783771fec25b662d9dfab6d036c87bbc | Getter method for property wechatId. | [
{
"docid": "20bdaf37b8423f1dce4a8c19066eab88",
"score": "0.8541545",
"text": "public String getWechatId() {\n\t\treturn wechatId;\n\t}",
"title": ""
}
] | [
{
"docid": "176a9314b449a33cc13bae65c4249c4e",
"score": "0.84696454",
"text": "public String getWechatid() {\n return wechatid;\n }",
"title": ""
},
{
"docid": "6a554fdcbb6e86c8baeceb82120964ad",
"score": "0.78016496",
"text": "public Integer getChatId()\n {\n ret... |
7090710edee84483213ea0e5beae12ee | MARK: Arithmetic Creates a 3D unit vector with the same direction as this vector. If this vector is a zero vector, a zero vector is returned. | [
{
"docid": "18ad453f6c3ae84a46f00418df8e9de1",
"score": "0.7329336",
"text": "public Vector3D unitVector() {\n // copy vector\n Vector3D unitVector = clone();\n \n // normalize and return copy\n unitVector.normalize();\n return unitVector;\n }",
"title": ... | [
{
"docid": "39ffe1d1af7c98091362946951209253",
"score": "0.7570096",
"text": "public Vector3 Vector3Zero(){\r\n return new Vector3();\r\n }",
"title": ""
},
{
"docid": "6ed3e079187b2ac731efb664cd14c701",
"score": "0.7361919",
"text": "public Vector3 asVector() {\n\t\treturn... |
073baf9b75cc7ae6cf6f3efdede49604 | Created by Shanxf on 2017/11/16. | [
{
"docid": "3d190625d53305ba1849ba4fe7a428a6",
"score": "0.0",
"text": "@Repository\npublic interface MoDisplayMessageRepository extends MongoRepository<MoDisplayMessage,String> {\n\n @Query(value = \"{'messageType._id':?0}\")\n MoDisplayMessage findByMessageType(Long messageTypeId);\n}",
"tit... | [
{
"docid": "092f51e9c99cd4188e1aae23e1830dfd",
"score": "0.61541414",
"text": "protected void func_70626_be() {}",
"title": ""
},
{
"docid": "69ade76a69c0f6c07e66b5d0e5136eb3",
"score": "0.5964275",
"text": "@Override\r\n\tpublic void grabar() {\n\t\t\r\n\t}",
"title": ""
},
... |
928ffc1dfb2e500bb93f6885fbf08827 | Specifies the clientAffinityEnabled property: true to enable client affinity; false to stop sending session affinity cookies, which route client requests in the same session to the same instance. Default is true.. | [
{
"docid": "efe1e581228d7cdb6d2b157cb399376e",
"score": "0.7206587",
"text": "WithCreate withClientAffinityEnabled(Boolean clientAffinityEnabled);",
"title": ""
}
] | [
{
"docid": "0c7ced3a29b68c7aa13b8b9e986c0672",
"score": "0.8102329",
"text": "Boolean clientAffinityEnabled();",
"title": ""
},
{
"docid": "bed8990e016702913696d737fc6064aa",
"score": "0.7760112",
"text": "interface WithClientAffinityEnabled {\n /**\n * Specifi... |
34f1730889294f1fb1d77b6f9a5326f0 | Metodo que calcula los pasos | [
{
"docid": "489189238a1c7236d50b559251394265",
"score": "0.5508924",
"text": "public void pasos() {\n pasos = (int)(Math.random()*3+1);\n }",
"title": ""
}
] | [
{
"docid": "d281a12bbb3869ba42dd7bbc506d933f",
"score": "0.61703706",
"text": "public String paso(){\n\t\tint indice = 0, total = this.superficie.actualizarOcupadas();\n\t\tStringBuilder sb = new StringBuilder();\n\t if(total == 0) sb.append(Textos.imposibleDeJugar());\n\t\telse{ \n\t\t\twhile(indice... |
93c566392b22ce39c924d6cb0b53b074 | end binomialDistribution / Calculates factorial | [
{
"docid": "2e5b64300bc1021abf73b9ceda965c37",
"score": "0.0",
"text": "public static int fact(int num){\n\t\tint nfact = 1;\n\n\t\tfor(int i = 1; num > 0; num--){\n\t\t\tnfact *= num;\n\t\t} \n\n\t\treturn nfact;\n\t}",
"title": ""
}
] | [
{
"docid": "84e10b6e124b1e1859267b8d605a1a0a",
"score": "0.6585548",
"text": "public static double factorial ( double n ) {\t\t\n\t\tif (n == 0) return 1;\n\t\telse return n * factorial(n-1);\n\t}",
"title": ""
},
{
"docid": "d7a28e38a918130b3c69a0644fc7b1b7",
"score": "0.6561676",
"... |
ba53028fab85b90be8b7b95a69303513 | Request to pause the emulation | [
{
"docid": "174aa3d9ce99ed95b90f0c3ddcf9e3f3",
"score": "0.75024265",
"text": "public void pause()\n {\n changeState(State.PAUSE);\n }",
"title": ""
}
] | [
{
"docid": "1b879b0bd3dbff461c75ade14f3093ff",
"score": "0.7670907",
"text": "public void pause(){\n\t\t\n\t}",
"title": ""
},
{
"docid": "54389491a65680bb8acf36df9fec0092",
"score": "0.766392",
"text": "@Override\r\n\tpublic void pause() {\r\n\t}",
"title": ""
},
{
"doci... |
d304e95df4f14054a60ee6b048a21ecc | Splitpoint is the latest common ancestor of the current and given branch heads. | [
{
"docid": "c25ab2ee36961d66ef167cb54b9647ad",
"score": "0.61090946",
"text": "public String splitPoint(String currBrant, String givenBranch) {\n ArrayList<String> currBranchC = new ArrayList<String>();\n ArrayList<String> givenBranchC = new ArrayList<String>();\n String currParent ... | [
{
"docid": "dc171047222d72a4eaca3314dbb35b8f",
"score": "0.6541312",
"text": "private static String getsplitpoint(String b1, String b2) {\n File comsplitfile = new File(\".gitlet/commits/\"\n + b1);\n File combranchfile = new File(\".gitlet/commits/\"\n + b2);... |
7b59d13ab2260e3d35be037d5221a8a2 | Constructor for a ScreenSquare with no text display (solid color). | [
{
"docid": "cc92af6b2a6912d68758c61bb50318c7",
"score": "0.7296151",
"text": "public ScreenSquare(int xpos, int ypos, int width, int height, int color) {\r\n\t\tthis.xpos = xpos;\r\n\t\tthis.ypos = ypos;\r\n\t\tthis.startx = xpos;\r\n\t\tthis.starty = ypos;\r\n\t\tthis.width = width;\r\n\t\tthis.height ... | [
{
"docid": "71e7463f7b153afafffc63f6a274d576",
"score": "0.74388623",
"text": "public Square() {\n\t\tcolor = Color.MAGENTA;\n\t\tsideLength = 15;\n\t}",
"title": ""
},
{
"docid": "818e9cdc2d0b0c661fa7b2742fb8f0fe",
"score": "0.7423516",
"text": "public BlankSquare() {\r\n\t\t\r\n\t}... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "91bb427721641809df89af3caa5c3744",
"score": "0.0",
"text": "@Test\n\tpublic void testController_fail() throws Exception {\n\t\tmockMvc.perform(post(\"/rest/add?firstVal=5&secondVal=5\").contentType(MediaType.TEXT_PLAIN))\n\t\t\t\t.andExpect(MockMvcResultMatchers.status().isMethodNotAllowed()... | [
{
"docid": "1acc57d42c31dee937ac33ea6f2a5b0b",
"score": "0.6836411",
"text": "@Override\r\n\tpublic void comer() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "33d41636b65afa8267c9085dae3d1a2d",
"score": "0.6679176",
"text": "private void apparence() {\r\n\r\n\t}",
"title": ""
},
... |
b424251c3091482ffc0e9a66f9910bfc | Check if task is ready for execution. | [
{
"docid": "9cbc9a0d32035a5236116e66b6d090e4",
"score": "0.73013735",
"text": "protected boolean readyForExecution(TaskContainer taskContainer) {\r\n return timeProcessor.isTaskTime(taskContainer);\r\n }",
"title": ""
}
] | [
{
"docid": "d20d0d54fa72c401394ecb487261cb11",
"score": "0.70756865",
"text": "boolean isReadyToUse();",
"title": ""
},
{
"docid": "6e29198f37d793e7090a2ccc0ebbee44",
"score": "0.69484496",
"text": "public boolean isReady();",
"title": ""
},
{
"docid": "5b10a008f579bf316c... |
8ea7d69249cd4e7e040684cab4421b4f | Getter for CatalogVersion. The specific version of the catalog objects to be included in the response. This allows you to retrieve historical versions of objects. The specified version value is matched against the [CatalogObject]($m/CatalogObject)s' `version` attribute. | [
{
"docid": "fd4dbb8a7da4ec3db99033f1deb2898f",
"score": "0.700834",
"text": "@JsonGetter(\"catalog_version\")\r\n public Long getCatalogVersion() {\r\n return catalogVersion;\r\n }",
"title": ""
}
] | [
{
"docid": "24edcba0d88b565618105dfb4de598be",
"score": "0.7611137",
"text": "@Accessor(qualifier = \"catalogVersion\", type = Accessor.Type.GETTER)\n\tpublic CatalogVersionModel getCatalogVersion()\n\t{\n\t\treturn getPersistenceContext().getPropertyValue(CATALOGVERSION);\n\t}",
"title": ""
},
... |
263dcb9838302d75cdd3db372cfbdb5b | Inflate the layout for this fragment | [
{
"docid": "f6bb2916da35f111eccafd31e0f4674f",
"score": "0.0",
"text": "@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n view= inflater.inflate(R.layout.fragment_tutorial, container, false);\n ... | [
{
"docid": "e4a07f9e56beb5c09bafea61fb480337",
"score": "0.6792006",
"text": "@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_student_graph, container, fals... |
20317e3b508fd0171de51e93c5066671 | Returns the string representation of the guitar. | [
{
"docid": "92465ac4c79b026d915847b7e199d16e",
"score": "0.81822675",
"text": "public String toString() {\n\t\treturn \"(\"\n\t\t\t\t+ \"numStrings=\" + getNumStrings()\n\t\t\t\t+ \", Length=\" + getGuitarLength()\n\t\t\t\t+ \", manufacturer=\" + getGuitarManufacturer()\n\t\t\t\t+ \", color=\" + getGuit... | [
{
"docid": "e69a2a0ee6b7869393f3bdee2bdc07bb",
"score": "0.73624176",
"text": "public String playGuitar() {\n\t\tString guitarNotes = \"\";\n\n\t\t// Only play the guitar if the constant 'NOTES_TO_PLAY' is at least 1.\n\t\tif (NOTES_TO_PLAY >= 1) {\n\t\t\t// Play the first note and assign it to the guit... |
0f3d08a0763a9e1da460d075a8a59e02 | TODO Autogenerated method stub The Lap Timings related to each Participant or the chest number is inserted into the second table. The Lap Timings is accepted as an Array List | [
{
"docid": "709b33914cadfcbfbcf1979078917566",
"score": "0.0",
"text": "@Override\n\tpublic boolean insertData(int chestNo, String firstName, String lastName,\n\t\t\tString imagePath) {\n\n\t\tSQLiteDatabase db = this.getWritableDatabase();\n\t\tContentValues contentValues = new ContentValues();\n\n\t\t... | [
{
"docid": "7069a4447405b385fa0c8460fb3a48be",
"score": "0.6008369",
"text": "@Override\n public List<Long> getLapTimes() {\n synchronized (lock) {\n return lapTimes;\n }\n }",
"title": ""
},
{
"docid": "7c937c447b7da7022a40a9df9c6651a9",
"score": "0.5683539",
"text": "@... |
dac38fc69b238c562f8306a0297269ab | The name of the template parameter that will contain this value. | [
{
"docid": "a0cbca612e9e634a880f759e56c4a6d7",
"score": "0.0",
"text": "public Secret withParameterName(String parameterName) {\n\t\tthis.parameterName = parameterName;\n\t\treturn this;\n\t}",
"title": ""
}
] | [
{
"docid": "ecd26243a5e2b4eaecaf5f2c7a010f81",
"score": "0.6731339",
"text": "@objid (\"c9430e32-5923-4873-9196-70620b195552\")\n public String getPatternParameterName() {\n return this.elt.getTagValue(PatternParameter.MdaTypes.PATTERNPARAMETER_NAME_TAGTYPE_ELT);\n }",
"title": ""
},
... |
c6ea8daa0acbf22d40df2252875f28e2 | Ensure the factory throws an NPE on an null String | [
{
"docid": "938facea9ae329e3320406237e2571e1",
"score": "0.62073797",
"text": "public void testCreateFromNullString() throws Exception {\r\n String code = null;\r\n try {\r\n assertNotNull(\"No script created\", ScriptFactory.createScript(code));\r\n fail(\"Null scrip... | [
{
"docid": "9a5329b80d892c0f5856fe364063d9c0",
"score": "0.6222418",
"text": "@Test\n public void create_inputNull_throwNullPointerException() {\n assertThrows(NullPointerException.class, () -> idsRepresentationBuilder.create(null));\n }",
"title": ""
},
{
"docid": "c496bf5ea2ad... |
90ead16b5fe9903af06f92fbc7bec976 | needed if variables are used Get the corresponding Procedure object that results from the compilation of this StylesheetProcedure | [
{
"docid": "7a660f2bf19328e950318b6a35419f80",
"score": "0.56734335",
"text": "public ComponentBody getCompiledProcedure() {\r\n // TODO: handle keys with more than one xsl:key declaration\r\n KeyDefinition def = getContainingPackage().getKeyManager().getKeyDefinitionSet(getObjectName()).g... | [
{
"docid": "87473504e2e67c4c6a8133c62db37b27",
"score": "0.58536595",
"text": "ProcedureDecl createProcedureDecl();",
"title": ""
},
{
"docid": "f212cebdf61405b2ef5881655dcf841a",
"score": "0.5681733",
"text": "public void tweakProcedure(Procedure proc) {\n }",
"title": ""
}... |
8a0afba9209dd5e51ea2c66fbe568a57 | / / / / / / / / / / / / | [
{
"docid": "b2c282b4c57520666745e94bfd31667e",
"score": "0.0",
"text": "public void firePropertyChange(String paramString, double paramDouble1, double paramDouble2)\n/* */ {\n/* 8568 */ if ((this.changeSupport == null) || (paramDouble1 == paramDouble2)) {\n/* 8569 */ return;\n/* ... | [
{
"docid": "b858c6ff6e97cd194310df71bbeb64ca",
"score": "0.5566819",
"text": "private int s(int pos){return (pos+up)%Global.array_size;}",
"title": ""
},
{
"docid": "e482d4998c13216ac8acb8b77fc3b020",
"score": "0.53648597",
"text": "private int w(int pos){return pos-1;}",
"title"... |
b61d5fd53f4889ec617a7aac6372d44d | / access modifiers changed from: private | [
{
"docid": "e9c2a54e2eabef219257bde57ecf1308",
"score": "0.0",
"text": "public void notifyAPPRttInfoCallback(HwAPPStateInfo data) {\n String str = TAG;\n HwAPPQoEUtils.logD(str, \"notifyAPPRttInfoCallback:\" + data.toString());\n HwAPPQoEManager hwAPPQoEManager = HwAPPQoEManager.get... | [
{
"docid": "8e44716b5ee10b9661605afb83ad4dc2",
"score": "0.6859645",
"text": "private void priv() {}",
"title": ""
},
{
"docid": "bc3a08c64e443ee86473be048cb9738a",
"score": "0.6749077",
"text": "private void smth() {\n\n\t\t}",
"title": ""
},
{
"docid": "f0705d77863f0fa7... |
3210d7d0d2e02526d428ecc26881b6c0 | called by internal mechanisms, do not call yourself. | [
{
"docid": "77726d85a5a935747b4958ffd47dee89",
"score": "0.0",
"text": "@Generated(hash = 1483822610)\n public void __setDaoSession(DaoSession daoSession) {\n this.daoSession = daoSession;\n myDao = daoSession != null ? daoSession.getVideoFileDao() : null;\n }",
"title": ""
}
] | [
{
"docid": "bc3a08c64e443ee86473be048cb9738a",
"score": "0.6351972",
"text": "private void smth() {\n\n\t\t}",
"title": ""
},
{
"docid": "f0705d77863f0fa7c516a99a8eca8134",
"score": "0.6287522",
"text": "private void zbudujSciezkeiRozpocznij() {\n\t\t\r\n\t}",
"title": ""
},
... |
ce22c60d594b1ee705c4457c5c718d59 | Give health to the unit | [
{
"docid": "5c10c65f01ec839837a0e18258bfeaf1",
"score": "0.622067",
"text": "public void heal(double amount)\r\n\t{\r\n\t\tSystem.out.println(\"HEALING: HP = \" + this.getHealth() + \", MAX = \" + this.getMaxHealth()\r\n\t\t\t\t+ \", AMOUNT = \" + amount);\r\n\t\tif (this.getHealth() + amount > this.get... | [
{
"docid": "71f3725e53488404dfb0e708fe4381af",
"score": "0.7647538",
"text": "void setHealth(int health);",
"title": ""
},
{
"docid": "f2c6a1da8d38a67307c633a054fbc602",
"score": "0.748491",
"text": "public void setHealth(int health)\n {\n this.health = health;\n }",
... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "9dbe6ba197635de24fc9f5c8be9db50c",
"score": "0.0",
"text": "@Override\n\t\t\tpublic void handle(ActionEvent event) {\n\t\t\t\tmain.showAssetOverview();\n\t\t\t}",
"title": ""
}
] | [
{
"docid": "d7194e467f51e022c107531d8614b6a3",
"score": "0.6905833",
"text": "@Override\r\n\tpublic void anular() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "cdf542363f5b089e84183e3d9020935f",
"score": "0.6697644",
"text": "@Override\n\t protected void ramana() {\n\t\t\n\t}",
"ti... |
52f69fbef72f417c9bdf38fc7a4037a7 | Deployment environment of the MySQL cluster. .yandex.cloud.mdb.mysql.v1alpha.Cluster.Environment environment = 7; | [
{
"docid": "47c2e2d460b2675937c49ab5882da174",
"score": "0.7889863",
"text": "yandex.cloud.api.mdb.mysql.v1alpha.ClusterOuterClass.Cluster.Environment getEnvironment();",
"title": ""
}
] | [
{
"docid": "85b9b779d53b03d6f06937347dbbb424",
"score": "0.6389311",
"text": "@java.lang.Override public yandex.cloud.api.mdb.mysql.v1alpha.ClusterOuterClass.Cluster.Environment getEnvironment() {\n @SuppressWarnings(\"deprecation\")\n yandex.cloud.api.mdb.mysql.v1alpha.ClusterOuterClass.Clust... |
454386eff0a167a5327286ae72a34899 | Removes the ith "ml" element | [
{
"docid": "8380742d14bd5c4b04fbfa590776caf7",
"score": "0.73913234",
"text": "public void removeMl(int i)\r\n {\r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n get_store().remove_element(ML$2, i);\r\n ... | [
{
"docid": "556a53288d85c6e7982b4e23a72bd7b3",
"score": "0.68687004",
"text": "public void remove() {\n\t\tlabeledLemmas.remove(0);\n\t}",
"title": ""
},
{
"docid": "b4bfaacc94f4c3a28b15f421cfa88142",
"score": "0.6408893",
"text": "public void remove (SceneElement element)\n {\n ... |
61c46e7aad4cbdc42a49c9a5551aa125 | / / Wait for data to arrive before moving on. / | [
{
"docid": "1dc05d0c7b1c3d6b09cdbcb9029e6b32",
"score": "0.6697283",
"text": "public boolean waitForData(){\r\n while( !cancel ) {\r\n \r\n long then = System.currentTimeMillis(); \r\n try{\r\n synchronized( dataSync ) {\r\n ... | [
{
"docid": "30853d102aeac5569f7fb6fac48f1540",
"score": "0.73276055",
"text": "public void sendData() {\n waitingForData = true;\n }",
"title": ""
},
{
"docid": "25cf4f760e46eba94646c957f456bbb9",
"score": "0.7045208",
"text": "private synchronized void dataReady() {\n\t\tw... |
5068e8bef9cf9e7d36a36bab5285f331 | click a tab wait for video to complete and appear the drag and drop sort question to answer | [
{
"docid": "837bc07949a4049dfffa042e2e1346b3",
"score": "0.64451456",
"text": "public void clickSubVideoOneInAPage() throws InterruptedException {\r\n\t\tCommonUtils.clickTabsInsideAPage(driver, getHealthyRelationShipsProperty(\"story1\"),\r\n\t\t\t\tgetHealthyRelationShipsProperty(\"expectedLaurenAndOl... | [
{
"docid": "68e8c67c338e8bbcd7cd8cc25bbcf86e",
"score": "0.6306579",
"text": "public void clickSubVideoTwoInAPage() throws InterruptedException {\r\n\t\tCommonUtils.clickTabsInsideAPage(driver, getHealthyRelationShipsProperty(\"story2\"),\r\n\t\t\t\tgetHealthyRelationShipsProperty(\"expectedbenAndKeisha... |
b62779f2570399d8fd1585e02c08ff72 | function for creating random int | [
{
"docid": "710d93fb8d95c1f1b514f385afeaa4a1",
"score": "0.6861486",
"text": "public static int createRandom(int start, int end) {\r\n \treturn start + (int) Math.round(Math.random() * (end - start));\r\n }",
"title": ""
}
] | [
{
"docid": "4608a3eb88f188ff32f5ea7030e67c7c",
"score": "0.8135436",
"text": "Integer generate();",
"title": ""
},
{
"docid": "59ff78336363522677acf627b2c5d521",
"score": "0.81330305",
"text": "int randomGenerator(){\n return (int) Math.floor((Math.random()*9+1));\n }",
... |
fefbfabf92cc197b23e8ee84719ecf09 | invalid combinations for JSQLParser | [
{
"docid": "ac0e0dda066774d416e4147634e63a41",
"score": "0.5570614",
"text": "@Test(expected = JSQLParserException.class)\n public void select_natural_outer_join() throws Exception {\n parse(\"SELECT * FROM P NATURAL OUTER JOIN Q\");\n }",
"title": ""
}
] | [
{
"docid": "563a6bf1eb002949efccf789e7776c53",
"score": "0.7194651",
"text": "@Test\n public void test1() throws JSQLParserException {\n List<Expression> sqlParser = JsqlparserUtil.getSQLParser(\"select * from tt where ss between '20200801' and '20200809' and ss in (1.1,2.2,3,4,5) and ss not i... |
1da7b459efad2e76d9adca09d309543f | / Gets the graph being constructed. / | [
{
"docid": "20b4baebba890900fad60bece57184df",
"score": "0.74109125",
"text": "public abstract StructuredGraph getGraph();",
"title": ""
}
] | [
{
"docid": "e8247b41ab4b6ac5b45a7a864fa8be95",
"score": "0.82520944",
"text": "Graph getGraph();",
"title": ""
},
{
"docid": "3c75a06b04e2a8ab8d0fa1a6b0d1df87",
"score": "0.825059",
"text": "public Graph graph()\n {\n return this.___graph;\n }",
"title": ""
},
{
... |
1b0db9a86fbc30535f4932272842fb48 | / renamed from: a | [
{
"docid": "bdabeb8a9b9818b297be6680eda8ab7e",
"score": "0.0",
"text": "private void m32476a(JSONObject jSONObject) {\n WebView webView = this.f30155d;\n if (webView != null) {\n StringBuilder sb = new StringBuilder();\n sb.append(this.f30154c);\n sb.append... | [
{
"docid": "cf68b8623ef8f2e72e5d568391d43ec2",
"score": "0.622906",
"text": "protected interface C3579b<T> {\n /* renamed from: a */\n void mo55348a(T t);\n }",
"title": ""
},
{
"docid": "a738e6fdc907c3783fa577aa7db7f737",
"score": "0.6167874",
"text": "public interf... |
42e4283344f4305b0d7efca551a14cd1 | Set the value of currentSpeed | [
{
"docid": "b7124927c74a1627eb53dcedf44c8669",
"score": "0.77896774",
"text": "public void setCurrentSpeed(int currentSpeed) {\n if (currentSpeed < 0) {\n throw new IllegalArgumentException(\"currentSpeed must be non-negative: set forwardDirection = false for reverse.\");\n }\n ... | [
{
"docid": "9bb0981e8272ea3fdbb52dfb8198a9ff",
"score": "0.8384065",
"text": "void setSpeed(double value);",
"title": ""
},
{
"docid": "134ec11c8c02b7f621167976414883f2",
"score": "0.83371174",
"text": "public void setCurrentSpeed(int c) {\r\n currentSpeed = c;\r\n }",
"title... |
50d413fd1f0c3328fc0d2c92ddef0102 | Le joueur va reprendre le meme etat que lors de sa creation | [
{
"docid": "5192d0dbab460daf9b776a3ea7eb9bc4",
"score": "0.0",
"text": "public void reset() {\n\tthis.pinguins = new ArrayList<>();\n\tthis.pinguinCourant = null;\n\tthis.pret = false;\n\tthis.scoreGlacons = 0;\n\tthis.scorePoissons = 0;\n }",
"title": ""
}
] | [
{
"docid": "5c8fdf646bb9009f4d94720dafa2089e",
"score": "0.67122",
"text": "private UsineJoueur() {}",
"title": ""
},
{
"docid": "494b17b1c27c83564974bc7ad28c8f6d",
"score": "0.67096627",
"text": "Vaisseau_longueur createVaisseau_longueur();",
"title": ""
},
{
"docid": "6... |
6ded735f2bc43a1b5d0e19dfe6e9b7dd | Simulate network access. Thread.sleep(2000); | [
{
"docid": "6f6b5b29c70ea70db699d3ce4856ef30",
"score": "0.0",
"text": "@Override\n protected Boolean doInBackground(Void... params) {\n\n requestFailure[0] = false;\n Long tsLong = System.currentTimeMillis()/1000;\n String ts = tsLong.toString();\n App... | [
{
"docid": "5c9512d22cc261352ea529fb98d020c1",
"score": "0.668948",
"text": "private void ping() {\n\t\ttry {\n\t\t\tThread.sleep(10000);\n\t\t} catch (final InterruptedException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t}",
"title": ""
},
{
"docid": "e6515ee495f98371f1228ec7357e392a",
... |
d345aa0a6c4f0cecabd09a77226e2311 | Flushes all data in the output stream and sends it to the server. | [
{
"docid": "53326b183e3182a9795499dcd86ec1d9",
"score": "0.73077416",
"text": "void flush( )\n throws IOException\n {\n if ( connection.isClosed() ) {\n //hopefully this isn't too slow to check.\n throw new ClosedChannelException();\n }\n\n out.write( outputBuffer, 0, outputOffset... | [
{
"docid": "569ffe5009c064e25fa157c2c76831ae",
"score": "0.7089307",
"text": "public void _flushBuffer() throws IOException {\n int len = this._outputTail - this._outputHead;\n if (len > 0) {\n int offset = this._outputHead;\n this._outputHead = 0;\n this._... |
f1dd31d4bd0a14a577537201388bff70 | write your code here | [
{
"docid": "4d7b021c5960d5924f27f1b3b6a36d71",
"score": "0.0",
"text": "public static void sortIntegers(int[] A) {\n for(int j = 0; j < A.length; j++){\n for(int i = 0; i < A.length-1; i++){\n if(A[i] > A[i+1]){\n A[i+1]= A[i+1] ^ A[i];\n ... | [
{
"docid": "bc3a08c64e443ee86473be048cb9738a",
"score": "0.62181956",
"text": "private void smth() {\n\n\t\t}",
"title": ""
},
{
"docid": "915cd499c707ca694353925d740e0725",
"score": "0.60154855",
"text": "private void comprimiendo() \n\t{\n\t}",
"title": ""
},
{
"docid":... |
c2644494bd11c5c12317cf49b94f057f | read an XML file that has just patterns in it. Add these patterns to the nets patterns. | [
{
"docid": "a406166e20f14a49e0ed811ac8ee05b9",
"score": "0.6768268",
"text": "public static void readPatternFile(String fileName,CANTNet net){\n try{\n\t\tDocumentBuilderFactory factory = DocumentBuilderFactory.newInstance();\n\t\tfactory.setIgnoringComments(true);\t// kailash\n\t\tDocumentBuilder bu... | [
{
"docid": "502c2fd2fd30a389a0b8b07578ec0fd5",
"score": "0.6422677",
"text": "private void parseXmlFile(){\n\t\t//get the factory\n\t\tDocumentBuilderFactory dbf = DocumentBuilderFactory.newInstance();\n\t\t\n\t\ttry {\n\t\t\t\n\t\t\t//Using factory get an instance of document builder\n\t\t\tDocumentBui... |
cc695099df620c1c002299ea3d35b863 | get the latitude and longitude from the location | [
{
"docid": "12a48af9951e9d7cfb44c24fedd712a8",
"score": "0.0",
"text": "@Override\n public void onLocationChanged(Location location) {\n double latitude = location.getLatitude();\n double longitude = location.getLongitude();\n LatLn... | [
{
"docid": "e1205501e0c3a398e6521eea11eb4d07",
"score": "0.75978327",
"text": "Location getLocation();",
"title": ""
},
{
"docid": "e1205501e0c3a398e6521eea11eb4d07",
"score": "0.75978327",
"text": "Location getLocation();",
"title": ""
},
{
"docid": "1bbafc16df24ad4b0445... |
6e0f22b81293f7e9b22927c02c70c79d | repeated string DependencyJarNames = 19; | [
{
"docid": "976cbd2a1e8ee6b0e8ddcf22ee5b81dd",
"score": "0.6431151",
"text": "public int getDependencyJarNamesCount() {\n return dependencyJarNames_.size();\n }",
"title": ""
}
] | [
{
"docid": "bee88128284edfdde5145306a826dc77",
"score": "0.72885215",
"text": "int getDependencyJarNamesCount();",
"title": ""
},
{
"docid": "16e7cd818bb9eb94f940fad663fbca5a",
"score": "0.70887643",
"text": "com.google.protobuf.ProtocolStringList\n getDependencyJarNamesList... |
2ec6c87f741fed1323f1fe955b20caa9 | adds a projectile to the list of projectiles the tower has shot. This projectile is honed for a particular slicer verified to be in the effect radius. | [
{
"docid": "18dc6f30d8dbacf2c10110dd8d9d0c73",
"score": "0.70918",
"text": "private void addProjectileTarget(List<Slicer> slicers) {\r\n for (Slicer slicer : slicers) {\r\n Point projectedSlicerPos = slicer.positionAfterFrames(0.0);\r\n if (withinEffectRadius(projectedSlicer... | [
{
"docid": "3ca685463a3199bea156f71ffe5797d8",
"score": "0.7362444",
"text": "public void shoot() {\n\t\tProjectile p = new Projectile(centerX + 50, centerY - 25);\n\t\tprojectiles.add(p);\n\t}",
"title": ""
},
{
"docid": "f0c6212949390e2954628c0ad4544263",
"score": "0.6871643",
"tex... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "d9eb96a9772725ea4368a53adf381555",
"score": "0.0",
"text": "@Override\r\n\tprotected void findViewById() {\n\t\tleftTextView = (TextView) findViewById(R.id.nav_text);\r\n\t\tleftButton = findViewById(R.id.left_btn_bg);\r\n\t\theadImageView = (ImageView) findViewById(R.id.headimage);\r\n\t\tc... | [
{
"docid": "e5fa0eebc721dea67da872fd14413bc7",
"score": "0.69744676",
"text": "@Override\n\tpublic void formule() {\n\t\t\n\t}",
"title": ""
},
{
"docid": "8b7f87c22e268a87686c66398c2c442b",
"score": "0.6936331",
"text": "@Override\r\n\t\t\tpublic void atras() {\n\t\t\t\t\r\n\t\t\t}"... |
c7a1607aa647cdb623d792340eb64657 | [END speech_transcribe_sync_gcs] [START speech_transcribe_async] Performs nonblocking speech recognition on raw PCM audio and prints the transcription. Note that transcription is limited to 60 seconds audio. | [
{
"docid": "b4ee4223cda294bc22ddfdef7353df62",
"score": "0.6234246",
"text": "public static void asyncRecognizeFile(String fileName) throws Exception {\n // Instantiates a client with GOOGLE_APPLICATION_CREDENTIALS\n try (SpeechClient speech = SpeechClient.create()) {\n\n Path path = Paths.ge... | [
{
"docid": "e6af0fd1cc0e4622c9e7b1e393c2e604",
"score": "0.6747407",
"text": "public static void transcribeMultiChannelGcs(String gcsUri) throws Exception {\n\n try (SpeechClient speechClient = SpeechClient.create()) {\n\n // Configure request to enable multiple channels\n RecognitionConfig... |
bfc2af76c41308ddc2b42e7923175d1e | Unique ID of the Amazon Machine Image (AMI) which was assigned during registration. For more information about Amazon EC2 images, please see Constraints: Length: 1 255 Pattern: [\u0020\uD7FF\uE000\uFFFD\uD800\uDC00\uDBFF\uDFFF\r\n\t] | [
{
"docid": "46b341dbcf325d9f3a74d5385cd7484c",
"score": "0.50131446",
"text": "public String getImageId() {\n return imageId;\n }",
"title": ""
}
] | [
{
"docid": "257fdc8a262db184568bda8366ed6de9",
"score": "0.6198337",
"text": "java.lang.String getImageId();",
"title": ""
},
{
"docid": "257fdc8a262db184568bda8366ed6de9",
"score": "0.6198337",
"text": "java.lang.String getImageId();",
"title": ""
},
{
"docid": "257fdc8a... |
a21aef79f2720d00da2613cbba0cf065 | ////////////////////////// GUI Refreshers ////////////////////////// | [
{
"docid": "99a6032263736ebe74ed62906ae0f8f7",
"score": "0.0",
"text": "private void updateStartButton() {\n if (mProgramming) {\n mBtnStart.setText(R.string.cancel);\n mProgressInfo.setText(\"Programming...\");\n } else {\n mProgressBar.setProgress(0);\n ... | [
{
"docid": "24842b8697a797326b021b5921d248f7",
"score": "0.7762771",
"text": "@Override\n\tpublic void refreshUI() {\n\t}",
"title": ""
},
{
"docid": "944e3eb160e00b79968fcbdefd7113ba",
"score": "0.7750699",
"text": "@Override\n protected void refreshUI() {\n }"... |
38230156e919c749120cbbddcd944e12 | Transition route group coverages. repeated .google.cloud.dialogflow.cx.v3beta1.TransitionRouteGroupCoverage.Coverage coverages = 1; | [
{
"docid": "e6017b7ec196b0dd0f0b34616220e081",
"score": "0.75241303",
"text": "@java.lang.Override\n public com.google.cloud.dialogflow.cx.v3beta1.TransitionRouteGroupCoverage.Coverage getCoverages(\n int index) {\n return coverages_.get(index);\n }",
"title": ""
}
] | [
{
"docid": "f39604c979c36921041949351efb8e9e",
"score": "0.7468108",
"text": "public Builder addCoverages(\n com.google.cloud.dialogflow.cx.v3beta1.TransitionRouteGroupCoverage.Coverage value) {\n if (coveragesBuilder_ == null) {\n if (value == null) {\n throw new NullPointer... |
43d031b595f97a2733c4f8d1608501a2 | Solution Use 2 pointers advancing at different speeds. If the list is circular then eventually both pointers will point to the same node. | [
{
"docid": "a8d275ecb6183403864afe9cd5aba273",
"score": "0.5618395",
"text": "public static boolean circular(LinkedList list) {\n Node slow = list.head;\n Node fast = list.head;\n\n while (fast != null && \n fast.next != null && \n fast.next.next != null)... | [
{
"docid": "54fe3bed5344b4201f81513da33d06f3",
"score": "0.65547943",
"text": "static void detectLoopAndFix(Node x){\r\n Node p1; Node p2;\r\n p1 = x;\r\n p2 = x;//STRANGELY ENOUGH, YES THIS HAS TO START WITH X, AND NOT X.NEXT\r\n //otherwise it will fail for cases where no. of elements in l... |
fb704ab55655e5fdab998c62da76e9a7 | Not sure about all methods below this comment | [
{
"docid": "abdcaf80dbef9b69c7248ae87452c943",
"score": "0.0",
"text": "public Player getLocalPlayer() {\n\t\treturn localPlayer;\n\t}",
"title": ""
}
] | [
{
"docid": "3e2b6cecdab3b4495e39686fcb37522b",
"score": "0.69959587",
"text": "public void method_7608() {}",
"title": ""
},
{
"docid": "ccbad2fe39581989696edf7ff479266d",
"score": "0.6927729",
"text": "private static void somrtinhg() {\n\t\t\r\n\t}",
"title": ""
},
{
"do... |
91b75897a3b4d3f09af36a245d5a3081 | Getter for the UNIX timestamp of the expected time when the rate limit will reset. | [
{
"docid": "71865a56e305d3b27def0293eb392665",
"score": "0.72793585",
"text": "public long getExpectedResetTimestamp() {\n return expectedResetTimestamp;\n }",
"title": ""
}
] | [
{
"docid": "63fbb9f9b900257b2b435e227eb91fac",
"score": "0.67302644",
"text": "public int getTime() {\n\t\treturn lastCurrentTime;\n\t}",
"title": ""
},
{
"docid": "dbd5c08853a256c7c1d56dd3c5a36828",
"score": "0.66940224",
"text": "public long getTime() {\n return time-1;\n ... |
362dd15a5d741bbbf5fb8653be5db180 | Objects which this object depends on. repeated .tensorflow.contrib.eager.CheckpointableObjectGraph.Object.ObjectReference children = 1; | [
{
"docid": "2b627cd45a7bf62d268a1e85d0c721fc",
"score": "0.4878795",
"text": "public Builder setChildren(\n int index, tensorflow.contrib.eager.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Object.ObjectReference value) {\n if (childrenBuilder_ == null) {\n ... | [
{
"docid": "786ecf2c5493159462c4bba59c302f56",
"score": "0.71686274",
"text": "tensorflow.contrib.eager.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Object.ObjectReference getChildren(int index);",
"title": ""
},
{
"docid": "5290480266016c5681550457a9cbcd70",
"score": "0... |
b9ffdb3c936458d72dde67071112b916 | check for required fields check for substruct validity | [
{
"docid": "7d77630af00596e8b0492da00a65440a",
"score": "0.0",
"text": "public void validate() throws org.apache.thrift.TException {\n if (success != null) {\n success.validate();\n }\n }",
"title": ""
}
] | [
{
"docid": "33f223ba59608e0729d6e9e4fa506b48",
"score": "0.7669862",
"text": "public void validate() throws org.apache.thrift.TException {\n if (sequence == null) {\n throw new org.apache.thrift.protocol.TProtocolException(\"Required field 'sequence' was not present! Struct: \" + toString());\n ... |
b5119908361228037c13885beb5009dc | This method Finalizes a project passed to it and saves Database Generates an invoice if amount paid is less than full amount | [
{
"docid": "ecd3af0eecc9408146f030fe23c1d4b2",
"score": "0.8116586",
"text": "public void finalizeProject(Project projObj) {\n\t\t// generate customer invoice only if amount paid is less than the full amount yet\n\t\tString invoice = \"\";\n\t\t\n\t\tif(projObj.getAmountPaid() < projObj.getFee()) {\n\t... | [
{
"docid": "8352b4c689fb4c345da0d9d31cbb7584",
"score": "0.6598119",
"text": "public static void FinaliseProjectByProjectNumber( List<saveProject> proj,\n\t\t\tint numberOfProjects) throws IOException, ParseException {\n\t\tScanner in = new Scanner(System.in);\n\t\tint project_number = 0; //init the pro... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "0e56f77ec6db8949c80276051b28e715",
"score": "0.0",
"text": "public void onClick(View v)\n {\n System.out.println(\"In OnClick\");\n //Check has the use made a choice of location\n if (listItem == \"Please select a location...\")\n {\n ... | [
{
"docid": "74a4209c94e08d9f5eb0b60e580f5e04",
"score": "0.68867725",
"text": "@Override\r\n\tpublic void comit() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "b645eacb329adc01490ab5013a6c4f7f",
"score": "0.67295986",
"text": "@Override\n\t\t\tpublic void perfom() {\n\n\t\t\t}",
"t... |
e84c399fde416b86e556f426ddf1afd2 | Converts a Comma Seperated Volume (delimited by ",") to a List of type String | [
{
"docid": "c748db462c3df07cc9f25f3f8870d801",
"score": "0.62962574",
"text": "private static List<String> convertCommaDelimitedStringToList(String delimitedString) {\n\n\t\tList<String> result = new ArrayList<String>();\n\n\t\tif (!StringUtils.isEmpty(delimitedString)) {\n\t\t\tresult = Arrays.asList(S... | [
{
"docid": "14d75716f5518eff540736c9b2e33426",
"score": "0.70531595",
"text": "private List<String> getStringListValue() {\n\t\tArrayList<String> result = new ArrayList<String>();\r\n\r\n\t\tString[] values = value.split(\",\");\r\n\t\tfor (String s : values) {\r\n\t\t\tresult.add(String.valueOf(s));\r\... |
86726f0f591d2a53863023747a70ed23 | Get an array which contains the indices of all selected columns. If no columns are selected, this returns an empty array. If the selection mode is SELECT_ROWS, the value returned by this method is meaningless and should be ignored. | [
{
"docid": "e0a52b6b9b4558ec7f14e82a69b409ad",
"score": "0.73842174",
"text": "public int[] getSelectedColumns()\n {\n return getComponent().getSelectedColumns();\n }",
"title": ""
}
] | [
{
"docid": "9cad6a75d07ce212c8b11dc0ce24f267",
"score": "0.7730999",
"text": "public int[] getSelectedColumns();",
"title": ""
},
{
"docid": "06843443f3f18cde095c7029be8e2a88",
"score": "0.7185218",
"text": "public int[] getSelectedRowIndexes() {\n return getSelectedRows();\n ... |
2372f95d1e6586156ebcf7d0b095f498 | Placeholder. Purely in place to prevent Checkstyle inferring this class is pointless. will be removed in the next story | [
{
"docid": "338d919761c4529a220854629d8b5cc7",
"score": "0.0",
"text": "void placeholder();",
"title": ""
}
] | [
{
"docid": "4e19d820d98fac9e9331dc656e621812",
"score": "0.62246305",
"text": "private Classification() {\n // Intentionally left blank.\n }",
"title": ""
},
{
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"score": "0.61265326",
"text": "public ClassExpression() {\n\t}",
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6c38bdcb030c3409163c2992e8c801e6 | Toast.makeText(context, "Transaction sent for approval.", Toast.LENGTH_SHORT).show(); | [
{
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"score": "0.0",
"text": "@Override\n public void onClick(View view) {\n ParseService updateTransactionService = new ParseService(RecentTransactions.this);\n updateTransactionService.updateTransaction(cust... | [
{
"docid": "78297d6a63955ae347c43634d40e246e",
"score": "0.7621573",
"text": "public void displayToast (String message)\n {\n Toast.makeText(getApplicationContext(), message, Toast.LENGTH_SHORT).show();\n }",
"title": ""
},
{
"docid": "5c908216d8c33c375001eba461d11480",
"sco... |
5e185150f8b61ce5105970ef4a853eb6 | This method is called from within the constructor to initialize the form. WARNING: Do NOT modify this code. The content of this method is always regenerated by the Form Editor. | [
{
"docid": "6b26477ea923e3fd0f0eb1034e872523",
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"text": "@SuppressWarnings(\"unchecked\")\n // <editor-fold defaultstate=\"collapsed\" desc=\"Generated Code\">//GEN-BEGIN:initComponents\n private void initComponents() {\n\n Fixo = new javax.swing.JPanel();\n jLabel1 = ... | [
{
"docid": "0683d7c04886f33eb3de4cd0ed5cbadc",
"score": "0.74529076",
"text": "public Herrendjimi1() {\n initComponents();\n }",
"title": ""
},
{
"docid": "a265c28895719fa5abe69bc5acb37bbf",
"score": "0.7301484",
"text": "public FormLat3() {\n initComponents();\n ... |
6b573aa8fccaf31ca74969a5db37fd09 | RecordSet getFriends0(String userId, String circleIds, int page, int count) throws AvroRemoteException; | [
{
"docid": "a40f3ab41e5abfd9fda334572f2e433c",
"score": "0.7364384",
"text": "@WebMethod(\"internal/getFriends0\")\n public RecordSet getFriends0(QueryParams qp) throws AvroRemoteException {\n Context ctx = WutongContext.getContext(qp, false);\n return GlobalLogics.getFriendship().getFr... | [
{
"docid": "657f92bb74333d21ad23d796eeb2c918",
"score": "0.6940158",
"text": "@WebMethod(\"internal/getFriends\")\n public RecordSet getFriends(QueryParams qp) throws AvroRemoteException {\n Context ctx = WutongContext.getContext(qp, false);\n return GlobalLogics.getFriendship().getFrie... |
1b544633c2886b0d8ef18c775c81cd06 | / renamed from: b | [
{
"docid": "3faf6f695ba6774c071d4f662d4bef03",
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"text": "public String m1960b() {\n return this.f1414b;\n }",
"title": ""
}
] | [
{
"docid": "296c620927f5ac829962efb5e91985b0",
"score": "0.6268342",
"text": "public void b() {\n }",
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},
{
"docid": "296c620927f5ac829962efb5e91985b0",
"score": "0.6268342",
"text": "public void b() {\n }",
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{
"docid": "da0c4ac2bb0e... |
14388f987d33b7f409d1e3d05aab410e | Test case number: 23 /Coverage entropy=0.0 | [
{
"docid": "188536bb20b4b499953f632b4da86590",
"score": "0.0",
"text": "@Test(timeout = 4000)\n public void test23() throws Throwable {\n Order order0 = new Order();\n Vector<Integer> vector0 = new Vector<Integer>();\n order0.m_algoParams = vector0;\n vector0.add((Integer) Integer... | [
{
"docid": "eefcb8163fe844db41b4e7f3007cf287",
"score": "0.6556619",
"text": "@Test(timeout = 4000)\n public void test24() throws Throwable {\n Discretize discretize0 = new Discretize(\"h&uYpUC]>5dku/m]CS\");\n discretize0.m_ClassIndex = 102;\n double[][] doubleArray0 = new double[4][0... |
54d47e312f5f4e29a5a57ae048cead40 | implements the predicate to filter the students. | [
{
"docid": "b56ed7e7ca24c146a61b3c7a428648fd",
"score": "0.6883723",
"text": "private static List<Student> extractStudentsUsingPredicate(List<Student> students, String language, Integer minScore){\n return students.stream()\n .filter(studentFilter(language, minScore)).collect(Colle... | [
{
"docid": "8be7e9d36c1ab0d073a4158a3bc40e1f",
"score": "0.7539175",
"text": "private static Predicate<Student> studentFilter(String language, Integer minScore){\n return student -> student.getLanguage().equalsIgnoreCase(language) && student.getScore() > minScore\n && (student.getName().startsWi... |