(maxAgeCpuWorkLoad);\\n cpuWorkLoad.setValidatorRtd((ValidatorRtdInterface) new ValidatorRtdFloat());\\n \\n memWorkLoad = new RtdBaseContinuous<Float>(maxAgeMemWorkLoad);\\n memWorkLoad.setValidatorRtd((ValidatorRtdInterface) new ValidatorRtdFloat());\\n\\n loadTrend = new RtdBaseDiscrete<Float>();\\n loadTrend.setValidatorRtd((ValidatorRtdInterface) new ValidatorRtdFloat());\\n \\n measureVal = new RtdDerived<Float>((AbstractCalcRtdDerivation) new MeasureValCalc(Long.valueOf(5)));\\n measureVal.addRtdReadSet(\\\"cpuWorkLoad\\\",cpuWorkLoad);\\n measureVal.addRtdReadSet(\\\"memWorkLoad\\\",memWorkLoad);\\n measureVal.addRtdReadSet(\\\"loadTrend\\\",loadTrend);\\n \\n testByteDiscrete = new RtdBaseDiscrete<Byte>();\\n testByteDiscrete.setValidatorRtd((ValidatorRtdInterface) new ValidatorRtdByte());\\n }\",\n \"public static void main(String[] args){\\r\\n\\t\\tputSPECmeasurement(System.nanoTime(), 100, 1000, \\\"nix1\\\", 5000);\\r\\n\\t\\tputSPECmeasurement(System.nanoTime(), 200, 2000, \\\"nix2\\\", 10000);\\r\\n\\t}\",\n \"@Test\\n public void brewTest(){\\n try{\\n cmTest.brew(2.5,15);\\n cmTest.brew(2.4,14.5);\\n cmTest.brew(2.6,14.5);\\n } catch (Exception e) {\\n fail();\\n }\\n\\n }\",\n \"private static void sample2() {\\n\\t\\tIComputer computer = new Computer();\\n\\t\\tcomputer.setProgram(\\n\\t\\t\\t(byte) 0x70,\\n\\t\\t\\t(byte) 0xff,\\n\\t\\t\\t(byte) 0xc0,\\n\\t\\t\\t(byte) 0xc1,\\n\\t\\t\\t(byte) 0x70,\\n\\t\\t\\t(byte) 0xc0,\\n\\t\\t\\t(byte) 0xff);\\n\\t\\tTestContext context = new TestContext(\\n\\t\\t (byte) 0xa1, (byte) 0x9b, (byte) 0x3c);\\n\\t\\tcomputer.run(context);\\n\\t\\tSystem.out.println(context.outputToString());\\n\\t}\",\n \"@Test\\n public void test21() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.errorRate();\\n assertEquals(Double.NaN, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"@Test(timeout = 4000)\\n public void test016() throws Throwable {\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n \\n String[] stringArray0 = new String[8];\\n stringArray0[0] = \\\"v\\\";\\n resultMatrixGnuPlot0.setShowStdDev(true);\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n \\n stringArray0[1] = \\\"\\\";\\n stringArray0[2] = \\\"*\\\";\\n stringArray0[3] = \\\" \\\";\\n stringArray0[4] = \\\"\\\";\\n stringArray0[5] = \\\"v\\\";\\n stringArray0[6] = \\\"v\\\";\\n stringArray0[7] = \\\" \\\";\\n resultMatrixGnuPlot0.setOptions(stringArray0);\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(8, stringArray0.length);\\n \\n resultMatrixGnuPlot0.m_ColNames = stringArray0;\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(8, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n \\n int int0 = resultMatrixGnuPlot0.getStdDevPrec();\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(8, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, int0);\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(0, 969);\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(969, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(969, resultMatrixLatex0.getRowCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n \\n // Undeclared exception!\\n try { \\n resultMatrixLatex0.setRanking((int[][]) null);\\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 \"@Test(timeout = 4000)\\n public void test102() throws Throwable {\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\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(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\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 assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\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(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n \\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\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(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\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 assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\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(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\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.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\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 assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(50, resultMatrixSignificance0.getRowNameWidth());\\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.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\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 assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\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 \\n resultMatrixSignificance0.assign(resultMatrixGnuPlot0);\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\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(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\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 assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\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(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\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.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\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 assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(50, resultMatrixSignificance0.getRowNameWidth());\\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.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\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 assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\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 \\n // Undeclared exception!\\n try { \\n resultMatrixSignificance0.getHeader((String) null);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // -1\\n //\\n verifyException(\\\"java.util.Vector\\\", e);\\n }\\n }\",\n \"@Test\\n public void testSumEstimatedProxySizeActualDevelopmentTime()\\n {\\n assertEquals(this.linealRegressionCalculator.sumEstimatedProxySizeActualDevelopmentTime(), 411628.6, 0.01); \\n }\",\n \"@Test\\n public void testingTheTwoPlane2016Order() {\\n }\",\n \"@Test(timeout = 4000)\\n public void test003() throws Throwable {\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\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(\\\"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 assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n \\n int[][] intArray0 = new int[7][8];\\n int[] intArray1 = new int[0];\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[0];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray0[1] = intArray2;\\n int[] intArray3 = new int[1];\\n assertFalse(intArray3.equals((Object)intArray2));\\n assertFalse(intArray3.equals((Object)intArray1));\\n \\n intArray0[2] = intArray3;\\n String string0 = resultMatrixGnuPlot0.getRevision();\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\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(\\\"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 assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertNotNull(string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(\\\"8034\\\", string0);\\n \\n double double0 = resultMatrixGnuPlot0.getMean(1129, 97);\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\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(\\\"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 assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0.0, double0, 0.01);\\n \\n ResultMatrixGnuPlot.main((String[]) null);\\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixGnuPlot0);\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\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(\\\"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 assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertNotNull(resultMatrixGnuPlot1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n \\n String string1 = resultMatrixGnuPlot1.getRowName(1);\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\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(\\\"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 assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertNull(string1);\\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n \\n resultMatrixGnuPlot1.m_MeanWidth = 1129;\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\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(\\\"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 assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(1129, resultMatrixGnuPlot1.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n \\n int int0 = resultMatrixGnuPlot1.getDefaultColNameWidth();\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\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(\\\"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 assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(1129, resultMatrixGnuPlot1.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(50, int0);\\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n \\n boolean boolean0 = resultMatrixGnuPlot1.getDefaultEnumerateColNames();\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\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(\\\"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 assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(1129, resultMatrixGnuPlot1.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(boolean0);\\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n }\",\n \"@Test\\n public void test36() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.incorrect();\\n assertEquals(0.0, double0, 0.01D);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\\n }\",\n \"public static void main(String[] arg) {\\n testSingleLowRate();\\n testSingleHighRate();\\n testMarriedLowRate();\\n testMarriedHighRate();\\n System.out.println(doesPass ? \\\"PASS\\\" : \\\"FAIL\\\");\\n }\",\n \"@Test(timeout = 4000)\\n public void test183() throws Throwable {\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n resultMatrixGnuPlot0.toStringMatrix();\\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\\n resultMatrixPlainText0.globalInfo();\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\\n resultMatrixCSV1.setCountWidth(2);\\n resultMatrixCSV1.setSignificanceWidth((-259));\\n resultMatrixCSV1.setShowAverage(true);\\n resultMatrixCSV0.toStringKey();\\n resultMatrixCSV1.clear();\\n resultMatrixPlainText0.meanPrecTipText();\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixCSV0);\\n resultMatrixLatex0.toStringMatrix();\\n resultMatrixCSV0.getColOrder();\\n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex();\\n resultMatrixLatex1.getDefaultPrintColNames();\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixPlainText0);\\n resultMatrixSignificance0.toStringRanking();\\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\\n resultMatrixSignificance1.globalInfo();\\n resultMatrixLatex1.getDefaultMeanPrec();\\n ResultMatrixHTML resultMatrixHTML0 = null;\\n try {\\n resultMatrixHTML0 = new ResultMatrixHTML(1, (-1056));\\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 \"public static void main(String[] args) {\\n Part2_2 part2_2 = new Part2_2();\\n part2_2.testHowMany();\\n Part2_3 part_23 = new Part2_3();\\n part_23.testHowManyGenes();\\n Part3_1 part3_1 = new Part3_1();\\n part3_1.testCgRatio();\\n }\",\n \"@Test(timeout = 4000)\\n public void test049() throws Throwable {\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\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(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\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 assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\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.getDefaultShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n \\n int[][] intArray0 = new int[7][8];\\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\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(\\\"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 assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\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 assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\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.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixGnuPlot0);\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\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(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\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 assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\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.getDefaultShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\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 standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertNotNull(resultMatrixLatex0);\\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(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n \\n String string0 = resultMatrixPlainText0.getSummaryTitle(936);\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\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(\\\"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 assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\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 assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\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.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertNotNull(string0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"a\\\", string0);\\n \\n resultMatrixLatex0.setSummary(intArray0, intArray0);\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\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(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\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 assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\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.getDefaultShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\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 standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(7, intArray0.length);\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertNotNull(resultMatrixCSV0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n \\n int[] intArray1 = resultMatrixCSV0.getColOrder();\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertNull(intArray1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n \\n boolean boolean0 = resultMatrixLatex0.getDefaultPrintColNames();\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\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(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\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 assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\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.getDefaultShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\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 standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\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(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(boolean0);\\n \\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\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(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\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 assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\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.getDefaultShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\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 standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(50, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertNotNull(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(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n \\n String string1 = resultMatrixCSV0.toStringSummary();\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertNotNull(string1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(\\\"-summary data not set-\\\", string1);\\n assertFalse(string1.equals((Object)string0));\\n \\n boolean boolean1 = resultMatrixPlainText0.isRowName(2);\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\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(\\\"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 assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\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 assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\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.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(boolean1);\\n assertTrue(boolean1 == boolean0);\\n }\",\n \"public static void main(String[] args) {\\n//\\t\\ttest1dOutput();\\n\\t\\ttestMultimensionalOutput();\\n\\t}\",\n \"@Test(timeout = 4000)\\n public void test053() throws Throwable {\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\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(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n \\n int[][] intArray0 = new int[7][8];\\n int[] intArray1 = new int[0];\\n intArray0[0] = intArray1;\\n intArray0[1] = intArray1;\\n int[] intArray2 = new int[0];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n int[] intArray3 = new int[6];\\n assertFalse(intArray3.equals((Object)intArray2));\\n assertFalse(intArray3.equals((Object)intArray1));\\n \\n intArray3[1] = 0;\\n intArray3[2] = 2;\\n intArray3[3] = 0;\\n intArray3[4] = 2;\\n intArray3[5] = 0;\\n intArray0[3] = intArray3;\\n int[] intArray4 = new int[0];\\n assertFalse(intArray4.equals((Object)intArray1));\\n assertFalse(intArray4.equals((Object)intArray3));\\n assertFalse(intArray4.equals((Object)intArray2));\\n \\n intArray0[4] = intArray4;\\n int[] intArray5 = new int[3];\\n assertFalse(intArray5.equals((Object)intArray4));\\n assertFalse(intArray5.equals((Object)intArray1));\\n assertFalse(intArray5.equals((Object)intArray2));\\n assertFalse(intArray5.equals((Object)intArray3));\\n \\n intArray5[1] = 1;\\n intArray5[2] = 0;\\n intArray0[5] = intArray5;\\n int[] intArray6 = new int[2];\\n assertFalse(intArray6.equals((Object)intArray1));\\n assertFalse(intArray6.equals((Object)intArray5));\\n assertFalse(intArray6.equals((Object)intArray3));\\n assertFalse(intArray6.equals((Object)intArray2));\\n assertFalse(intArray6.equals((Object)intArray4));\\n \\n intArray6[0] = 1;\\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixGnuPlot0);\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\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(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(50, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\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(2, resultMatrixPlainText0.getMeanPrec());\\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.getSignificanceWidth());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\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(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertNotNull(resultMatrixPlainText0);\\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 \\n resultMatrixPlainText0.setRowNameWidth(586);\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\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(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\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(2, resultMatrixPlainText0.getMeanPrec());\\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.getSignificanceWidth());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(586, resultMatrixPlainText0.getRowNameWidth());\\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(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\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 \\n String[] stringArray0 = resultMatrixPlainText0.getOptions();\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\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(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\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(2, resultMatrixPlainText0.getMeanPrec());\\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.getSignificanceWidth());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(586, resultMatrixPlainText0.getRowNameWidth());\\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(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertNotNull(stringArray0);\\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 assertEquals(18, stringArray0.length);\\n }\",\n \"@Test\\n\\tpublic void whenExecuteMainThenPrintToConsole() {\\n\\t\\tByteArrayOutputStream out = new ByteArrayOutputStream();\\n\\t\\tSystem.setOut(new PrintStream(out));\\n\\t\\tCalculate.main(null);\\n\\t\\tassertThat(out.toString(), is(\\\"Hello World\\\\r\\\\n\\\"));\\n\\t}\",\n \"@Test\\n public void testStationaryDistribution()\\n {\\n try\\n {\\n IDoubleArray T = Doubles.create.fromFile(inputT1);\\n IDoubleArray expResult = Doubles.create.fromFile(inputT1_pi); \\n IDoubleArray pi = MarkovModel.util.stationaryDistribution(T);\\n assertEqual(pi, expResult, 1e-5);\\n }\\n catch(IOException e)\\n {\\n \\n e.printStackTrace();\\n }\\n // TODO review the generated test code and remove the default call to fail.\\n //fail(\\\"The test case is a prototype.\\\");\\n }\",\n \"private static FaultyVersion createDummyVersion1() {\\n\\t\\t/**\\tzur Initialisierung der Coverage arrays in der TestCase Klasse wird auf\\n\\t\\t * \\tFaultyProjectGlobals.methodsCount zugegriffen\\t*/\\n\\t\\tFaultyProjectGlobals.methodsCount = 8;\\n\\t\\t\\n\\t\\tTestCase[] failures = new TestCase[6];\\n\\t\\tfailures[0] = new TestCase(\\\"Test-A-Fail\\\", false, new Boolean[] {true, false, true, false, true, false, true, false});\\n\\t\\tfailures[1] = new TestCase(\\\"Test-B-Fail\\\", false, new Boolean[] {true, false, true, false, true, false, true, false});\\n\\t\\tfailures[2] = new TestCase(\\\"Test-C-Fail\\\", false, new Boolean[] {false, true, false, true, false, true, true, true});\\n\\t\\tfailures[3] = new TestCase(\\\"Test-D-Fail\\\", false, new Boolean[] {false, false, false, false, false, false, true, true});\\n\\t\\tfailures[4] = new TestCase(\\\"Test-E-Fail\\\", false, new Boolean[] {false, true, false, true, true, true, false, false});\\n\\t\\tfailures[5] = new TestCase(\\\"Test-F-Fail\\\", false, new Boolean[] {false, true, true, true, true, true, false, false});\\n\\t\\t\\n\\t\\tTestCase[] passedTCs = new TestCase[8];\\n\\t\\tpassedTCs[0] = new TestCase(\\\"Test-G-Success\\\", true, new Boolean[] {false, false, false, false, true, true, true, true});\\n\\t\\tpassedTCs[1] = new TestCase(\\\"Test-H-Success\\\", true, new Boolean[] {true, false, true, false, false, false, false, true});\\n\\t\\tpassedTCs[2] = new TestCase(\\\"Test-I-Success\\\", true, new Boolean[] {true, true, false, true, false, true, true, true});\\n\\t\\tpassedTCs[3] = new TestCase(\\\"Test-J-Success\\\", true, new Boolean[] {false, false, false, true, true, true, false, true});\\n\\t\\tpassedTCs[4] = new TestCase(\\\"Test-K-Success\\\", true, new Boolean[] {false, true, true, false, false, true, false, false});\\n\\t\\tpassedTCs[5] = new TestCase(\\\"Test-L-Success\\\", true, new Boolean[] {true, false, true, true, true, true, false, false});\\n\\t\\tpassedTCs[6] = new TestCase(\\\"Test-M-Success\\\", true, new Boolean[] {true, true, true, false, true, true, true, true});\\n\\t\\tpassedTCs[7] = new TestCase(\\\"Test-N-Success\\\", true, new Boolean[] {false, false, false, true, false, false, true, true});\\n\\t\\treturn new FaultyVersion(failures, passedTCs, \\\"dummyVersion-1\\\", 8);\\n\\t}\",\n \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"l*{e5SNh\\\");\\n boolean boolean0 = true;\\n discretize0.m_ClassIndex = 177;\\n discretize0.setUseEqualFrequency(true);\\n double[][] doubleArray0 = new double[5][9];\\n double[] doubleArray1 = new double[3];\\n doubleArray1[0] = (double) 177;\\n doubleArray1[1] = (double) 177;\\n doubleArray1[2] = (double) 177;\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[2];\\n doubleArray2[0] = (double) 177;\\n doubleArray2[1] = (double) 177;\\n doubleArray0[1] = doubleArray2;\\n double[] doubleArray3 = new double[9];\\n doubleArray3[0] = (double) 177;\\n doubleArray3[1] = (double) 177;\\n doubleArray3[2] = (double) 177;\\n doubleArray3[3] = (double) 177;\\n doubleArray3[4] = (double) 177;\\n doubleArray3[5] = (double) 177;\\n doubleArray3[6] = (double) 177;\\n doubleArray3[7] = (double) 177;\\n doubleArray3[8] = (double) 177;\\n doubleArray0[2] = doubleArray3;\\n double[] doubleArray4 = new double[8];\\n doubleArray4[0] = (double) 177;\\n doubleArray4[1] = (double) 177;\\n doubleArray4[2] = (double) 177;\\n doubleArray4[3] = (double) 177;\\n doubleArray4[4] = (double) 177;\\n doubleArray4[5] = (double) 177;\\n doubleArray4[6] = (double) 177;\\n doubleArray4[7] = (double) 177;\\n doubleArray0[3] = doubleArray4;\\n double[] doubleArray5 = new double[0];\\n doubleArray0[4] = doubleArray5;\\n discretize0.m_CutPoints = doubleArray0;\\n discretize0.listOptions();\\n discretize0.setIgnoreClass(true);\\n String[] stringArray0 = new String[0];\\n Discretize.main(stringArray0);\\n discretize0.findNumBinsTipText();\\n discretize0.setInvertSelection(true);\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString(511);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 511\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"public void testGetStartValue() {\\n TaskSeriesCollection c = createCollection1();\\n TaskSeriesCollection c3 = createCollection3();\\n }\",\n \"static void executeTest() {\\n int[] param1 = { // Checkpoint 1\\n 12, 11, 10, -1, -15,};\\n boolean[] expect = { // Checkpoint 2\\n true, false,true, false, true,}; \\n System.out.printf(\\\"課題番号:%s, 学籍番号:%s, 氏名:%s\\\\n\\\",\\n question, gakuban, yourname);\\n int passed = 0;\\n for (int i = 0; i < param1.length; i++) {\\n String info1 = \\\"\\\", info2 = \\\"\\\";\\n Exception ex = null;\\n boolean returned = false; //3\\n try {\\n returned = isDivable(param1[i]); //4\\n if (expect[i] == (returned)) { //5\\n info1 = \\\"OK\\\";\\n passed++;\\n } else {\\n info1 = \\\"NG\\\";\\n info2 = String.format(\\\" <= SHOULD BE %s\\\", expect[i]);\\n }\\n } catch (Exception e) {\\n info1 = \\\"NG\\\";\\n info2 = \\\"EXCEPTION!!\\\";\\n ex = e;\\n } finally {\\n String line = String.format(\\\"*** Test#%d %s %s(%s) => \\\",\\n i + 1, info1, method, param1[i]);\\n if (ex == null) {\\n System.out.println(line + returned + info2);\\n } else {\\n System.out.println(line + info2);\\n ex.printStackTrace();\\n return;\\n }\\n }\\n }\\n System.out.printf(\\\"Summary: %s,%s,%s,%d/%d\\\\n\\\",\\n question, gakuban, yourname, passed, param1.length);\\n }\",\n \"@Test(timeout = 4000)\\n public void test107() throws Throwable {\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\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 assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\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 assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n \\n int[][] intArray0 = new int[7][8];\\n int[] intArray1 = new int[0];\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[0];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray0[1] = intArray2;\\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixGnuPlot0);\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\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 assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\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 assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(50, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\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(1, resultMatrixPlainText0.getColCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\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(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n \\n String string0 = resultMatrixPlainText0.doubleToString(2, 0);\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\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 assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\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 assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(50, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\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(1, resultMatrixPlainText0.getColCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\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(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertNotNull(string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"2.\\\", string0);\\n \\n Enumeration enumeration0 = resultMatrixPlainText0.headerKeys();\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\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 assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\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 assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(50, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\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(1, resultMatrixPlainText0.getColCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\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(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertNotNull(enumeration0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n \\n int int0 = resultMatrixPlainText0.getDisplayCol(0);\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\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 assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\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 assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(50, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\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(1, resultMatrixPlainText0.getColCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\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(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, int0);\\n \\n String string1 = resultMatrixPlainText0.toStringMatrix();\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\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 assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\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 assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(50, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\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(1, resultMatrixPlainText0.getColCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\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(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertNotNull(string1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"Dataset col0\\\\n----------------------------------------------------------\\\\nrow0 (0) |\\\\n----------------------------------------------------------\\\\nv/ /* |\\\\n\\\", string1);\\n assertFalse(string1.equals((Object)string0));\\n \\n String[][] stringArray0 = resultMatrixPlainText0.toArray();\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\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 assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\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 assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(50, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\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(1, resultMatrixPlainText0.getColCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\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(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertNotNull(stringArray0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(3, stringArray0.length);\\n \\n boolean boolean0 = resultMatrixPlainText0.isMean(0);\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\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 assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\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 assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\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(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(50, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\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(1, resultMatrixPlainText0.getColCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\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(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(boolean0);\\n \\n ResultMatrixLatex resultMatrixLatex0 = null;\\n try {\\n resultMatrixLatex0 = new ResultMatrixLatex((-1517), 1);\\n fail(\\\"Expecting exception: NegativeArraySizeException\\\");\\n \\n } catch(NegativeArraySizeException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.experiment.ResultMatrix\\\", e);\\n }\\n }\",\n \"@Test\\n public void testLineExport(){\\n fakeCoord.add(new Point2D.Double(0.10,0.20));\\n VecCommandStack.push(VecCommandFactory.GetShapeCommand(VecCommandType.LINE, fakeCoord));\\n String print = VecCommandStack.peek().PrintToFile();\\n assertEquals(\\\"LINE 0.1 0.2 \\\\n\\\", print);\\n }\",\n \"public void testMain()\\r\\n {\\r\\n InputStream instream = null;\\r\\n OutputStream outstream = null;\\r\\n\\r\\n try\\r\\n {\\r\\n File afile = new File(\\\"testfiles/testfile.txt\\\");\\r\\n File bfile = new File(\\\"testfiles/testfilecopy.txt\\\");\\r\\n instream = new FileInputStream(afile);\\r\\n outstream = new FileOutputStream(bfile);\\r\\n byte[] buffer = new byte[1024];\\r\\n int length;\\r\\n // copy the file content in bytes\\r\\n while ((length = instream.read(buffer)) > 0)\\r\\n {\\r\\n\\r\\n outstream.write(buffer, 0, length);\\r\\n\\r\\n }\\r\\n\\r\\n instream.close();\\r\\n outstream.close();\\r\\n }\\r\\n catch (IOException e)\\r\\n {\\r\\n e.printStackTrace();\\r\\n }\\r\\n\\r\\n String[] args = new String[3];\\r\\n args[0] = \\\"testfiles/testfilecopy.txt\\\";\\r\\n args[1] = \\\"1\\\";\\r\\n args[2] = \\\"testfiles/output.txt\\\";\\r\\n Quicksort.main(args);\\r\\n assertTrue(systemOut().getHistory().contains(\\\"Time to run: \\\"));\\r\\n\\r\\n }\",\n \"public static void main(String[] args){\\n new Testing().runTests();\\r\\n \\r\\n }\",\n \"@Test(timeout = 4000)\\n public void test179() throws Throwable {\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV(resultMatrixCSV0);\\n resultMatrixCSV0.clearRanking();\\n boolean boolean0 = resultMatrixCSV0.getShowStdDev();\\n assertFalse(boolean0);\\n \\n resultMatrixCSV1.setEnumerateRowNames(false);\\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\\n assertTrue(resultMatrixCSV1.getPrintRowNames());\\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\\n assertEquals(0, resultMatrixCSV1.getCountWidth());\\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\\n \\n resultMatrixCSV0.getColOrder();\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n resultMatrixGnuPlot0.setSignificance(1913, 844, 844);\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n }\",\n \"public static void main(String args[]){\\n\\t\\tTestingUtils.runTests();\\n\\t\\t\\n\\t}\",\n \"public void testGetEndValue() {\\n TaskSeriesCollection c = createCollection1();\\n TaskSeriesCollection c3 = createCollection3();\\n }\",\n \"@Test\\n public void test22() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n FastVector fastVector0 = evaluation0.predictions();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\\n }\",\n \"public static void main (String[] args){\\n\\t\\tincPieceCountTest();\\n\\t\\tdecPieceCountTest();\\n\\t\\tsetPieceTest();\\n\\t\\tmoveTest();\\n\\t\\tanyMoveTest();\\n\\t\\tgetPiecesTest();\\n\\t\\tsetPieceTest2();\\n\\t}\",\n \"public static void main(String[] args) {\\r\\n\\r\\n Logger root = (Logger)LoggerFactory.getLogger(Logger.ROOT_LOGGER_NAME);\\r\\n root.setLevel(Level.ERROR); // TODO create a program argument to switch to trace\\r\\n Logger logger = (Logger)LoggerFactory.getLogger(\\\"main\\\");\\r\\n \\r\\n\\r\\n System.out.println(\\\"\\\\nTEST: \\\" + TEST_ID);\\r\\n System.out.println(\\\"========================\\\\n\\\");\\r\\n System.out.println(\\\"This is a simple test battery for this class.\\\\n\\\");\\r\\n\\r\\n logger.trace(\\\"Setting up test for class '{}'\\\\n\\\", TEST_ID);\\r\\n \\r\\n /*\\r\\n * Read parameters from file\\r\\n * \\r\\n * To write a new parameter file template, uncomment the following two lines\\r\\n * TestBrownianProcessParams.writeParamDefinition(\\\"param_template.xml\\\");\\r\\n * System.exit(0);\\r\\n */\\r\\n \\r\\n String fileName = CmdLineProcessor.process(args); // process command line arguments\\r\\n TestSteppedDataGeneratorParams params = null;\\r\\n \\r\\n try {\\r\\n params = TestSteppedDataGeneratorParams.readParameters(fileName);\\r\\n } catch (Throwable e) {\\r\\n logger.error(e.getMessage());\\r\\n System.exit(0);\\r\\n }\\r\\n \\r\\n params.validate();\\r\\n \\r\\n /**\\r\\n * Copy distribution parameters into a single array \\r\\n */\\r\\n DoubleArrayList shifts = params.getValidatedDoubleSequence(TestSteppedDataGeneratorParams.Sequence.SHIFT);\\r\\n DoubleArrayList stepHeights = params.getValidatedDoubleSequence(TestSteppedDataGeneratorParams.Sequence.STEP_HEIGHT);\\r\\n DoubleArrayList stepWidths = params.getValidatedDoubleSequence(TestSteppedDataGeneratorParams.Sequence.STEP_WIDTH);\\r\\n DoubleArrayList valleyWidths = params.getValidatedDoubleSequence(TestSteppedDataGeneratorParams.Sequence.VALLEY_WIDTH);\\r\\n ArrayList<Double> distParams = new ArrayList<Double>();\\r\\n \\r\\n for (int i = 0; i < shifts.size(); i++) {\\r\\n distParams.add(shifts.get(i));\\r\\n distParams.add(stepHeights.get(i));\\r\\n distParams.add(stepWidths.get(i));\\r\\n distParams.add(valleyWidths.get(i));\\r\\n }\\r\\n\\r\\n // Number formatter for the output\\r\\n DecimalFormat df = new DecimalFormat(\\\"0.00000\\\", new DecimalFormatSymbols(Locale.UK));\\r\\n DoubleTimeSeries.setFormatter(df);\\r\\n FormattedDoubleArrayList.setFormatter(df);\\r\\n\\r\\n /**\\r\\n * Data storage and formatting\\r\\n */\\r\\n DoubleTimeSeries dts = new DoubleTimeSeries();\\r\\n DoubleTimeSeriesList dtsl_1 = new DoubleTimeSeriesList();\\r\\n DoubleTimeSeriesList dtsl_2 = new DoubleTimeSeriesList();\\r\\n VersatileTimeSeriesCollection atc_1 = new VersatileTimeSeriesCollection(\\\"results\\\");\\r\\n VersatileTimeSeriesCollection atc_2 = new VersatileTimeSeriesCollection(\\\"results\\\");\\r\\n VersatileTimeSeries.StaticInternalParams.setTimePeriodFormat(\\\"tick\\\");\\r\\n VersatileTimeSeries.StaticInternalParams.setTimePeriod(VersatileTimeSeries.Period.DAY);\\r\\n VersatileTimeSeries.StaticInternalParams.setOutputHead(25);\\r\\n VersatileTimeSeries.StaticInternalParams.setOutputTail(10);\\r\\n int FIRST_COLUMN_WIDTH = 10;\\r\\n String baseName = \\\"STEPPED\\\";\\r\\n\\r\\n /**\\r\\n * Setup\\r\\n */\\r\\n SteppedDataGenerator gen = new SteppedDataGenerator(distParams.toArray(new Double[1]));\\r\\n \\r\\n int dim = (int) Math.floor(0.1 + distParams.size() / 4); // 4 is the number of parameters of the stepped function generator \\r\\n \\r\\n for (int i = 0; i < dim; i++) {\\r\\n String tsName = baseName;\\r\\n if (dim > 1) tsName += \\\"_\\\" + i;\\r\\n dtsl_1.add(new DoubleTimeSeries(tsName));\\r\\n dtsl_2.add(new DoubleTimeSeries(tsName));\\r\\n }\\r\\n\\r\\n /**\\r\\n * Run\\r\\n */ \\r\\n DoubleArrayList vec;\\r\\n// DoubleArrayList increments;\\r\\n \\r\\n for (int i = 0; i < params.nTicks; i++) {\\r\\n vec = gen.nextDoubleVector();\\r\\n// increments = gen.nextDoubleVectorIncrements();\\r\\n \\r\\n for (int j = 0; j < dim; j++) {\\r\\n \\tdtsl_1.get(j).add(vec.get(j));\\r\\n// \\t\\tdtsl_2.get(j).add(increments.get(j));\\r\\n } \\t\\r\\n }\\r\\n \\r\\n \\r\\n /**\\r\\n * Output - Text\\r\\n */\\r\\n atc_1.populateSeries(1, \\\"step\\\", dtsl_1, 0);\\r\\n// atc_2.populateSeries(1, \\\"step\\\", dtsl_2, 0);\\r\\n \\r\\n System.out.println(atc_1.printDecoratedSeries(baseName, FIRST_COLUMN_WIDTH, true));\\r\\n// System.out.println(atc_2.printDecoratedSeries(baseName, FIRST_COLUMN_WIDTH, true));\\r\\n \\r\\n /**\\r\\n * Output - Graph\\r\\n */\\r\\n VersatileChart charts_1 = new VersatileChart();\\r\\n charts_1.getInternalParms().autoRange = true;\\r\\n charts_1.getInternalParms().autoRangePadding = 0;\\r\\n charts_1.getInternalParms().ticks = true;\\r\\n\\r\\n charts_1.draw(atc_1);\\r\\n \\r\\n// VersatileChart charts_2 = new VersatileChart();\\r\\n// charts_2.getInternalParms().autoRange = true;\\r\\n// charts_2.getInternalParms().autoRangePadding = 0;\\r\\n// charts_2.getInternalParms().ticks = true;\\r\\n//\\r\\n// charts_2.draw(atc_2);\\r\\n }\",\n \"public static void other() {\\n // This is how to generate test data for the grid. (Use the VisibilityGraph algorithm to generate optimal path lengths)\\n// ArrayList<Point> points = ReachableNodes.computeReachable(gridGraph, 5, 5);\\n// System.out.println(points.size());\\n//\\n// generateRandomTestDataAndPrint(gridGraph);\\n\\n //This is how to conduct a running time / path length test for tha algorithm:\\n// TestResult test1 = testAlgorithm(gridGraph, sx, sy, ex, ey, 1, 1);\\n// System.out.println(test1);\\n// TestResult test2 = testAlgorithm(gridGraph, sx, sy, ex, ey, 30, 25);\\n// System.out.println(test2);\\n }\",\n \"public static void main(String[] args) {\\n\\t\\t// TODO Auto-generated method stub\\n drunkardTest(TEST_STEP_TIMES_1, TEST_STEP_SIZE_1);\\n drunkardTest(TEST_STEP_TIMES_2, TEST_STEP_SIZE_2);\\n\\t}\",\n \"public static void main(String[] args) \\n {\\n \\n /*\\n * The aggregated pi values for the no line differentiation\\n * and line differentation methods. These values are used\\n * to determine the percent error for both implementations.\\n */\\n double noLine = 0.;\\n double yesLine = 0.;\\n \\n /*\\n * Iterate for the number of iterations defined above and add the values determined\\n * by noLineDelineation() and lineDelineation() to their respective\\n * total values.\\n */\\n for(int i = 0; i < ITER_TO_ESTIMATE; i++) \\n {\\n //line is always part of the circle\\n noLine += noLineDelineation(); \\n \\n //line is delineated\\n yesLine += lineDelineation(); \\n }\\n \\n /*\\n * ndiff and ydiff are the respective values that are obtained for PI\\n * from the lineDelineation() and noLineDelineation() functions.\\n */\\n double ndiff = ((noLine - (Math.PI*ITER_TO_ESTIMATE))/(Math.PI*ITER_TO_ESTIMATE));\\n double ydiff = ((yesLine - (Math.PI*ITER_TO_ESTIMATE))/(Math.PI*ITER_TO_ESTIMATE));\\n \\n System.out.printf(\\\"%.30f percent => no delineation\\\\n%.30f percent => yes delineation\\\\n\\\", Math.abs(ndiff), Math.abs(ydiff));\\n }\",\n \"@Test(timeout = 4000)\\n public void test057() throws Throwable {\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n \\n int[][] intArray0 = new int[7][8];\\n int[] intArray1 = new int[0];\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[0];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray0[1] = intArray2;\\n int[] intArray3 = new int[0];\\n assertFalse(intArray3.equals((Object)intArray1));\\n assertFalse(intArray3.equals((Object)intArray2));\\n \\n intArray0[2] = intArray3;\\n int[] intArray4 = new int[6];\\n assertFalse(intArray4.equals((Object)intArray1));\\n assertFalse(intArray4.equals((Object)intArray3));\\n assertFalse(intArray4.equals((Object)intArray2));\\n \\n intArray4[1] = 0;\\n intArray4[2] = 2;\\n intArray4[3] = 0;\\n intArray4[4] = 2;\\n intArray4[5] = 0;\\n intArray0[3] = intArray4;\\n int[] intArray5 = new int[0];\\n assertFalse(intArray5.equals((Object)intArray1));\\n assertFalse(intArray5.equals((Object)intArray3));\\n assertFalse(intArray5.equals((Object)intArray4));\\n assertFalse(intArray5.equals((Object)intArray2));\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixGnuPlot0);\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\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 assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n \\n int[][] intArray6 = new int[0][5];\\n assertFalse(intArray6.equals((Object)intArray0));\\n \\n // Undeclared exception!\\n try { \\n resultMatrixLatex0.setSummary(intArray6, intArray0);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 0\\n //\\n verifyException(\\\"weka.experiment.ResultMatrix\\\", e);\\n }\\n }\",\n \"private void test(IApproximatorCreator creator, List<Point> data, List<ExpectedApproximation> expectations) {\\r\\n File tmp = new File(FileUtils.getTempDirectory(), \\\"approx\\\");\\r\\n tmp.mkdirs();\\r\\n \\r\\n IStorageStrategy strategy = DefaultStorageStrategy.INSTANCE;\\r\\n IApproximator approx1 = creator.createApproximator(strategy, tmp, \\\"key\\\", TimeBehavior.LATENCY);\\r\\n Assert.assertNotNull(approx1);\\r\\n for (int d = 0; d < data.size(); d++) {\\r\\n data.get(d).update(approx1);\\r\\n }\\r\\n File f = approx1.store(tmp);\\r\\n Assert.assertNotNull(f);\\r\\n Assert.assertTrue(f.exists());\\r\\n \\r\\n IApproximator approx2 = creator.createApproximator(strategy, tmp, \\\"key\\\", TimeBehavior.LATENCY);\\r\\n Assert.assertNotNull(approx2);\\r\\n Assert.assertTrue(approx2.containsSameData(approx1));\\r\\n\\r\\n if (null != expectations) {\\r\\n for (ExpectedApproximation a : expectations) {\\r\\n double v1 = a.assertApproximation(approx1);\\r\\n double v2 = a.assertApproximation(approx2);\\r\\n Assert.assertEquals(v1, v2, 0.05);\\r\\n }\\r\\n }\\r\\n \\r\\n FileUtils.deleteQuietly(tmp);\\r\\n }\",\n \"@Test(timeout = 4000)\\n public void test088() throws Throwable {\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\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 assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\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 assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n \\n int[][] intArray0 = new int[7][8];\\n int[] intArray1 = new int[0];\\n intArray0[0] = intArray1;\\n intArray0[1] = intArray1;\\n int[] intArray2 = new int[0];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray0[2] = intArray2;\\n int[] intArray3 = new int[6];\\n assertFalse(intArray3.equals((Object)intArray1));\\n assertFalse(intArray3.equals((Object)intArray2));\\n \\n intArray3[1] = 0;\\n intArray3[2] = 2;\\n intArray3[3] = 0;\\n intArray3[4] = 2;\\n intArray3[5] = 0;\\n intArray0[3] = intArray3;\\n int[] intArray4 = new int[0];\\n assertFalse(intArray4.equals((Object)intArray3));\\n assertFalse(intArray4.equals((Object)intArray2));\\n assertFalse(intArray4.equals((Object)intArray1));\\n \\n intArray0[4] = intArray4;\\n int[] intArray5 = new int[3];\\n assertFalse(intArray5.equals((Object)intArray1));\\n assertFalse(intArray5.equals((Object)intArray4));\\n assertFalse(intArray5.equals((Object)intArray2));\\n assertFalse(intArray5.equals((Object)intArray3));\\n \\n intArray5[1] = 1;\\n intArray5[2] = 2;\\n intArray0[5] = intArray5;\\n int[] intArray6 = new int[2];\\n assertFalse(intArray6.equals((Object)intArray4));\\n assertFalse(intArray6.equals((Object)intArray1));\\n assertFalse(intArray6.equals((Object)intArray3));\\n assertFalse(intArray6.equals((Object)intArray2));\\n assertFalse(intArray6.equals((Object)intArray5));\\n \\n intArray6[0] = 1;\\n intArray6[1] = 2;\\n intArray0[6] = intArray6;\\n resultMatrixGnuPlot0.setRanking(intArray0);\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\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 assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\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 assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(7, intArray0.length);\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixGnuPlot0);\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\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 assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\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 assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\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(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertNotNull(resultMatrixLatex0);\\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 \\n boolean boolean0 = resultMatrixLatex0.getDefaultPrintRowNames();\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\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 assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\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 assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\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(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\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 assertTrue(boolean0);\\n }\",\n \"@Test\\n public void CanvasChartTest() {\\n }\",\n \"@Test(timeout = 4000)\\n public void test18() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"%\\\");\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n discretize0.findNumBinsTipText();\\n double[][] doubleArray0 = new double[0][7];\\n discretize0.m_CutPoints = doubleArray0;\\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, true);\\n discretize0.setInvertSelection(false);\\n // Undeclared exception!\\n try { \\n discretize0.setOutputFormat();\\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 \"@Test\\n public void test14() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double double0 = evaluation0.SFEntropyGain();\\n assertEquals(0.0, double0, 0.01D);\\n }\",\n \"@Test\\n\\tpublic void testHw1_1000000LOC26method21_2()\\n\\t\\tthrows Exception {\\n\\t\\thw1_1000000LOC26 fixture = new hw1_1000000LOC26();\\n\\t\\tfixture.f0 = (short) 1;\\n\\t\\tbyte var0 = (byte) 1;\\n\\t\\tbyte var1 = (byte) 1;\\n\\t\\tshort var2 = (short) 1;\\n\\n\\t\\tdouble result = fixture.hw1_1000000LOC26method21(var0, var1, var2);\\n\\n\\t\\t// add additional test code here\\n\\t\\t// An unexpected exception was thrown in user code while executing this test:\\n\\t\\t// java.lang.ClassNotFoundException: hw1_1000000LOC26\\n\\t\\t// at java.net.URLClassLoader$1.run(URLClassLoader.java:366)\\n\\t\\t// at java.net.URLClassLoader$1.run(URLClassLoader.java:355)\\n\\t\\t// at java.security.AccessController.doPrivileged(Native Method)\\n\\t\\t// at java.net.URLClassLoader.findClass(URLClassLoader.java:354)\\n\\t\\t// at java.lang.ClassLoader.loadClass(ClassLoader.java:425)\\n\\t\\t// at com.instantiations.assist.eclipse.junit.execution.core.UserDefinedClassLoader.loadClass(UserDefinedClassLoader.java:62)\\n\\t\\t// at java.lang.ClassLoader.loadClass(ClassLoader.java:358)\\n\\t\\t// at com.instantiations.assist.eclipse.junit.execution.core.ExecutionContextImpl.getClass(ExecutionContextImpl.java:99)\\n\\t\\t// at com.instantiations.eclipse.analysis.expression.model.SimpleTypeExpression.execute(SimpleTypeExpression.java:205)\\n\\t\\t// at com.instantiations.eclipse.analysis.expression.model.MethodInvocationExpression.execute(MethodInvocationExpression.java:544)\\n\\t\\t// at com.instantiations.assist.eclipse.junit.execution.core.ExecutionRequest.execute(ExecutionRequest.java:286)\\n\\t\\t// at com.instantiations.assist.eclipse.junit.execution.communication.LocalExecutionClient$1.run(LocalExecutionClient.java:158)\\n\\t\\t// at java.lang.Thread.run(Thread.java:744)\\n\\t\\tassertEquals(0.0, result, 0.1);\\n\\t}\",\n \"@Test(timeout = 4000)\\n public void test114() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n double[] doubleArray0 = evaluation0.getClassPriors();\\n assertEquals(2, doubleArray0.length);\\n assertNotNull(doubleArray0);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"@Test\\n public void showHandledPeaksForInterestingCases() {\\n List<ISpectrum> spectra = ClusteringTestUtilities.readISpectraFromResource();\\n\\n ISpectrum[] spectrums = (ISpectrum[]) spectra.toArray();\\n\\n ISimilarityChecker checker = new FrankEtAlDotProductTester();\\n ISimilarityChecker currentChecker = new FrankEtAlDotProduct(0.5F, 15, true);\\n\\n //noinspection UnnecessaryLocalVariable,UnusedDeclaration,UnusedAssignment\\n Set<String> interestingIds = new HashSet<>();\\n\\n\\n for (int i = 0; i < spectrums.length; i++) {\\n ISpectrum psm1 = spectrums[i];\\n String id1 = psm1.getId();\\n if (!INTERESTING_ID_SET.contains(id1))\\n continue; // not an interesting case\\n\\n for (int j = i + 1; j < spectrums.length; j++) {\\n ISpectrum psm2 = spectrums[j];\\n\\n String id2 = psm2.getId();\\n if (!INTERESTING_ID_SET.contains(id2))\\n continue; // not an interesting case\\n\\n // System.out.println(\\\"Comparing \\\" + id1 + \\\" \\\" + id2);\\n\\n StringBuilder usedPeaksTester = new StringBuilder();\\n\\n //noinspection UnnecessaryLocalVariable,UnusedDeclaration,UnusedAssignment\\n double dotOrg = checker.assessSimilarity(psm1, psm2);\\n\\n // System.out.println(\\\"Peaks compared original Frank Et Al (when the code is written)\\\");\\n // print usage\\n // System.out.println(usedPeaksTester.toString());\\n\\n usedPeaksTester.setLength(0); // clear debug output\\n double dotNew = currentChecker.assessSimilarity(psm1, psm2);\\n\\n // print usage\\n // System.out.println(\\\"Peaks compared current Frank Et Al \\\");\\n // System.out.println(usedPeaksTester.toString());\\n\\n\\n }\\n\\n }\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6063864","0.60238415","0.5994573","0.59106123","0.5880194","0.58554655","0.58462363","0.5831961","0.58238053","0.5822523","0.58195245","0.57968366","0.57872295","0.5784389","0.57802737","0.5778458","0.577337","0.5772612","0.5766383","0.5761737","0.5743624","0.5734471","0.572161","0.5712316","0.5703998","0.5699478","0.5691306","0.5666825","0.56642956","0.566414","0.5663731","0.56625146","0.5660948","0.56571805","0.56552947","0.5653316","0.5647792","0.5643446","0.5642302","0.5638069","0.56358284","0.5634072","0.56326705","0.5631147","0.5629574","0.5628873","0.56249404","0.5617888","0.56164956","0.56153935","0.5614835","0.5614563","0.5614505","0.56107867","0.56083184","0.5606057","0.56056964","0.56033176","0.560009","0.55980873","0.55966336","0.55892754","0.5588468","0.5586642","0.55843204","0.5578009","0.55714387","0.5571306","0.55689585","0.55683935","0.55671823","0.55656385","0.555837","0.55573034","0.5556546","0.5556189","0.55535936","0.55518866","0.555043","0.55476135","0.55449796","0.5544945","0.5544501","0.55429435","0.55420274","0.5541306","0.5541184","0.55397385","0.5538131","0.55374885","0.5536276","0.55317557","0.55255544","0.55239415","0.5523648","0.5522211","0.5521555","0.5521","0.551889","0.55133563","0.55130565"],"string":"[\n \"0.6063864\",\n \"0.60238415\",\n \"0.5994573\",\n \"0.59106123\",\n \"0.5880194\",\n \"0.58554655\",\n \"0.58462363\",\n \"0.5831961\",\n \"0.58238053\",\n \"0.5822523\",\n \"0.58195245\",\n \"0.57968366\",\n \"0.57872295\",\n \"0.5784389\",\n \"0.57802737\",\n \"0.5778458\",\n \"0.577337\",\n \"0.5772612\",\n \"0.5766383\",\n \"0.5761737\",\n \"0.5743624\",\n \"0.5734471\",\n \"0.572161\",\n \"0.5712316\",\n \"0.5703998\",\n \"0.5699478\",\n \"0.5691306\",\n \"0.5666825\",\n \"0.56642956\",\n \"0.566414\",\n \"0.5663731\",\n \"0.56625146\",\n \"0.5660948\",\n \"0.56571805\",\n \"0.56552947\",\n \"0.5653316\",\n \"0.5647792\",\n \"0.5643446\",\n \"0.5642302\",\n \"0.5638069\",\n \"0.56358284\",\n \"0.5634072\",\n \"0.56326705\",\n \"0.5631147\",\n \"0.5629574\",\n \"0.5628873\",\n \"0.56249404\",\n \"0.5617888\",\n \"0.56164956\",\n \"0.56153935\",\n \"0.5614835\",\n \"0.5614563\",\n \"0.5614505\",\n \"0.56107867\",\n \"0.56083184\",\n \"0.5606057\",\n \"0.56056964\",\n \"0.56033176\",\n \"0.560009\",\n \"0.55980873\",\n \"0.55966336\",\n \"0.55892754\",\n \"0.5588468\",\n \"0.5586642\",\n \"0.55843204\",\n \"0.5578009\",\n \"0.55714387\",\n \"0.5571306\",\n \"0.55689585\",\n \"0.55683935\",\n \"0.55671823\",\n \"0.55656385\",\n \"0.555837\",\n \"0.55573034\",\n \"0.5556546\",\n \"0.5556189\",\n \"0.55535936\",\n \"0.55518866\",\n \"0.555043\",\n \"0.55476135\",\n \"0.55449796\",\n \"0.5544945\",\n \"0.5544501\",\n \"0.55429435\",\n \"0.55420274\",\n \"0.5541306\",\n \"0.5541184\",\n \"0.55397385\",\n \"0.5538131\",\n \"0.55374885\",\n \"0.5536276\",\n \"0.55317557\",\n \"0.55255544\",\n \"0.55239415\",\n \"0.5523648\",\n \"0.5522211\",\n \"0.5521555\",\n \"0.5521\",\n \"0.551889\",\n \"0.55133563\",\n \"0.55130565\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":32297,"cells":{"query":{"kind":"string","value":"again I find I could use an equals() method for a class in this case FileInfo"},"document":{"kind":"string","value":"private void areEquals(FileInfo a, FileInfo b)\n\t{\n\t\t// will test a subset for now\n\n\t\tassertEquals(a.width,b.width);\n\t\tassertEquals(a.height,b.height);\n\t\tassertEquals(a.nImages,b.nImages);\n\t\tassertEquals(a.whiteIsZero,b.whiteIsZero);\n\t\tassertEquals(a.intelByteOrder,b.intelByteOrder);\n\t\tassertEquals(a.pixels,b.pixels);\n\t\tassertEquals(a.pixelWidth,b.pixelWidth,Assert.DOUBLE_TOL);\n\t\tassertEquals(a.pixelHeight,b.pixelHeight,Assert.DOUBLE_TOL);\n\t\tassertEquals(a.unit,b.unit);\n\t\tassertEquals(a.pixelDepth,b.pixelDepth,Assert.DOUBLE_TOL);\n\t\tassertEquals(a.frameInterval,b.frameInterval,Assert.DOUBLE_TOL);\n\t\tassertEquals(a.calibrationFunction,b.calibrationFunction);\n\t\tAssert.assertDoubleArraysEqual(a.coefficients,b.coefficients,Assert.DOUBLE_TOL);\n\t\tassertEquals(a.valueUnit,b.valueUnit);\n\t\tassertEquals(a.fileType,b.fileType);\n\t\tassertEquals(a.lutSize,b.lutSize);\n\t\tassertArrayEquals(a.reds,b.reds);\n\t\tassertArrayEquals(a.greens,b.greens);\n\t\tassertArrayEquals(a.blues,b.blues);\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public boolean equals(Object obj) {\n/* 64 */ if (this == obj) {\n/* 65 */ return true;\n/* */ }\n/* 67 */ if (obj == null) {\n/* 68 */ return false;\n/* */ }\n/* 70 */ if (getClass() != obj.getClass()) {\n/* 71 */ return false;\n/* */ }\n/* 73 */ FileBean other = (FileBean)obj;\n/* 74 */ if (this.filePath == null) {\n/* 75 */ if (other.filePath != null)\n/* 76 */ return false; \n/* 77 */ } else if (!this.filePath.equals(other.filePath)) {\n/* 78 */ return false;\n/* 79 */ } return true;\n/* */ }","public boolean equals(Object obj)\n {\n if (obj instanceof ClassFile)\n {\n ClassFile that = (ClassFile) obj;\n if (this == that)\n {\n return true;\n }\n\n // equal iff .class structure is identical\n byte[] abThis = this.getBytes();\n byte[] abThat = that.getBytes();\n return Arrays.equals(abThis, abThat);\n }\n return false;\n }","@Override\r\n\tpublic boolean equals(Object fileBean){\r\n\t\tFileBean newBean = (FileBean)fileBean;\r\n\t\treturn newBean.toString().compareTo(this.toString()) == 0;\r\n\t}","@Override\r\n public boolean equals(Object object) {\n if (!(object instanceof FS)) {\r\n return false;\r\n }\r\n FS other = (FS) object;\r\n return !((this.idfs == null && other.idfs != null) || (this.idfs != null && !this.idfs.equals(other.idfs)));\r\n }","@Override\r\n public boolean equals(Object obj) {\r\n if(obj == null)\r\n return false;\r\n if(obj instanceof FileNode) {\r\n if(((FileNode) obj).getData().equals(this.data)) \r\n return true;\r\n }\r\n return false;\r\n }","@Override\n public boolean equals(Object obj) {\n FSItem item=(FSItem)obj;\n return this.fsItemPath.equals(item.fsItemPath);\n }","@Override\r\n public boolean equals(Object object) {\n if (!(object instanceof Namefile)) {\r\n return false;\r\n }\r\n Namefile other = (Namefile) object;\r\n if ((this.namefilePK == null && other.namefilePK != null) || (this.namefilePK != null && !this.namefilePK.equals(other.namefilePK))) {\r\n return false;\r\n }\r\n return true;\r\n }","@Override\n public boolean equals(Object o) {\n if (this == o) {\n return true;\n }\n if (o == null || getClass() != o.getClass()) {\n return false;\n }\n File file = (File) o;\n if (file.getId() == null || getId() == null) {\n return false;\n }\n return Objects.equals(getId(), file.getId());\n }","public boolean equals(Object object) {\n if (object instanceof ImageFile) {\n ImageFile imageFile = (ImageFile) object;\n return imageFile.getOpenable() == this.getOpenable() &&\n imageFile.getPlayable() == this.getPlayable() &&\n imageFile.animated() == this.animated() &&\n imageFile.getFileSizeInBytes() == this.getFileSizeInBytes() &&\n imageFile.getImageHeight() == this.getImageHeight() &&\n imageFile.getImageWidth() == this.getImageWidth() &&\n imageFile.getOpensWith().equals(this.getOpensWith()) &&\n imageFile.getFile() == this.getFile();\n }\n return false;\n }","@Override\n public boolean equals(Object o)\n {\n //thanks to GeeksforGeeks for general form https://www.geeksforgeeks.org/overriding-equals-method-in-java/\n if (o == this)\n return true;\n if (!(o instanceof Thumbnail))\n return false;\n \n Thumbnail t = (Thumbnail) o;\n return imagePath.equals(t.getImagePath());\n }","public boolean equals(Object arg) {\n\t\tif (arg == null) {\n\t\t\treturn(false);\n\t\t}\n\t\t\n\t\tFileSystem temp = (FileSystem) arg;\n\t\t\n\t\tif (temp.getDevice().equals(_device)) {\n\t\t\t//empty\n\t\t} else {\n\t\t\treturn(false);\n\t\t}\n\t\t\n\t\tif (temp.getMountPoint().equals(_mount)) {\n\t\t\t//empty\n\t\t} else {\n\t\t\treturn(false);\n\t\t}\n\t\t\n\t\tif (temp.getFileSystemType().equals(_type)) {\n\t\t\t//empty\n\t\t} else {\n\t\t\treturn(false);\n\t\t}\n\t\t\n\t\treturn(true);\n\t}","boolean hasFileInfo();","boolean hasFileInfo();","@Override\n public boolean equals(Object it) {\n return !(it == null || getClass() != it.getClass()) && equals((TarArchiveEntry) it);\n }","@Override\n public boolean equals(Object object) {\n if (!(object instanceof IntegrationFile)) {\n return false;\n }\n IntegrationFile other = (IntegrationFile) object;\n if ((this.id == null && other.id != null) || (this.id != null && !this.id.equals(other.id))) {\n return false;\n }\n \n return true;\n }","@Test\n\tpublic void testSetFileInfo() {\n\n\t}","public boolean equals(Object fn) {\n if (!(fn instanceof FileName)) {\n return false;\n }\n\n return ((FileName) fn).getFile().equals(this.getFile());\n }","public FileInfo getFileInfo() {\n return fileInfo;\n }","@Override\n public boolean equals(Object obj) {\n if (!(obj instanceof XiangqiCoordinate)) return false;\n XiangqiCoordinate coordinate = (XiangqiCoordinate) obj;\n return coordinate.getRank() == rank && coordinate.getFile() == file;\n }","@Override\n public boolean equals(Object object) {\n if (!(object instanceof Perfiles)) {\n return false;\n }\n Perfiles other = (Perfiles) object;\n if ((this.idPerfil == null && other.idPerfil != null) || (this.idPerfil != null && !this.idPerfil.equals(other.idPerfil))) {\n return false;\n }\n return true;\n }","@java.lang.Override\n public boolean hasFileInfo() {\n return fileInfo_ != null;\n }","@java.lang.Override\n public boolean hasFileInfo() {\n return fileInfo_ != null;\n }","@Override\n public boolean equals(Object object) {\n if (!(object instanceof AttachmentFile)) {\n return false;\n }\n AttachmentFile other = (AttachmentFile) object;\n if ((this.idAttachmentFile == null && other.idAttachmentFile != null) || (this.idAttachmentFile != null && !this.idAttachmentFile.equals(other.idAttachmentFile))) {\n return false;\n }\n return true;\n }","public boolean equals(java.lang.Object r5) {\n /*\n r4 = this;\n r0 = 1\n if (r5 != r4) goto L_0x0004\n return r0\n L_0x0004:\n r1 = 0\n if (r5 != 0) goto L_0x0008\n return r1\n L_0x0008:\n java.lang.Class r2 = r5.getClass()\n java.lang.Class r3 = r4.getClass()\n boolean r2 = r2.equals(r3)\n if (r2 == 0) goto L_0x003f\n com.dropbox.core.v2.sharing.ChangeFileMemberAccessArgs r5 = (com.dropbox.core.p005v2.sharing.ChangeFileMemberAccessArgs) r5\n java.lang.String r2 = r4.file\n java.lang.String r3 = r5.file\n if (r2 == r3) goto L_0x0024\n boolean r2 = r2.equals(r3)\n if (r2 == 0) goto L_0x003d\n L_0x0024:\n com.dropbox.core.v2.sharing.MemberSelector r2 = r4.member\n com.dropbox.core.v2.sharing.MemberSelector r3 = r5.member\n if (r2 == r3) goto L_0x0030\n boolean r2 = r2.equals(r3)\n if (r2 == 0) goto L_0x003d\n L_0x0030:\n com.dropbox.core.v2.sharing.AccessLevel r2 = r4.accessLevel\n com.dropbox.core.v2.sharing.AccessLevel r5 = r5.accessLevel\n if (r2 == r5) goto L_0x003e\n boolean r5 = r2.equals(r5)\n if (r5 == 0) goto L_0x003d\n goto L_0x003e\n L_0x003d:\n r0 = 0\n L_0x003e:\n return r0\n L_0x003f:\n return r1\n */\n throw new UnsupportedOperationException(\"Method not decompiled: com.dropbox.core.p005v2.sharing.ChangeFileMemberAccessArgs.equals(java.lang.Object):boolean\");\n }","public boolean hasFileInfo() {\n return fieldSetFlags()[15];\n }","@Override\r\n\tpublic boolean equals(Object obj) {\r\n\t\tif (!(obj instanceof ChunkID))\r\n\t\t\treturn false;\r\n\r\n\t\tChunkID chunkObj = (ChunkID) obj;\r\n\r\n\t\tif (this.getChunkNumber() != chunkObj.getChunkNumber() || !this.getFileID().equals(chunkObj.getFileID()))\r\n\t\t\treturn false;\r\n\r\n\t\treturn true;\r\n\t}","public FileInfo()\r\n {\r\n hash = new HashInfo();\r\n }","@Override\n\tpublic boolean equals(Object obj) {\n\t\tCommunitySubGraph dstGraph = (CommunitySubGraph) obj;\n\t\tif (this.filePath.equals(dstGraph.filePath)) {\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}","public boolean equals(Object obj) {\n if(obj == null) return false;\n if(!(obj instanceof JFMViewRepresentation)) return false;\n JFMViewRepresentation viewObj = (JFMViewRepresentation)obj;\n //if any of the members are null, return false\n if(this.getName() == null || this.getClassName() == null) return false;\n if(viewObj.getName() == null || viewObj.getClassName() == null) return false; \n if(!getName().equals(viewObj.getName())) return false;\n if(!getClassName().equals(viewObj.getClassName())) return false;\n return true;\n }","public boolean equals (Object object) {\n\t\tif (object == null)\n\t\t\treturn false;\n\t\tif (object instanceof Photo) {\n\t\t\tPhoto newObject = (Photo) object;\n\t\t\tif (this.caption.equals(newObject.getCaption()) && this.filename.equals(newObject.getFilename())){\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\telse \n\t\t\t\treturn false;\n\t\t}\n\t\telse {\n\t\t\treturn false;\n\t\t}\n\t}","public boolean equals(TarArchiveEntry it) {\n return getName().equals(it.getName());\n }","public boolean hasFileInfo() {\n return fileInfoBuilder_ != null || fileInfo_ != null;\n }","public boolean hasFileInfo() {\n return fileInfoBuilder_ != null || fileInfo_ != null;\n }","private Equals() {}","@Override\n public boolean equals(Object o) {\n if (o == this) { \n return true; \n } \n \n /* Check if o is an instance of Complex or not \n \"null instanceof [type]\" also returns false */\n if (!(o instanceof Path)) { \n return false; \n } \n \n // typecast o to Complex so that we can compare data members \n Path p = (Path) o; \n \n // Compare the data members and return accordingly \n return (this.startingPointIndex == p.startingPointIndex && this.distance == p.distance);\n }","@Override\r\n\tpublic boolean equals(Object obj) {\n\t\tboolean issame = false;\r\n\t\tif(obj instanceof MediaItem) {\r\n\t\t\tMediaItem mi = (MediaItem)obj;\r\n\t\t\tboolean a = this.runTime == mi.runTime;\r\n\t\t return a;\r\n\t\t}\r\n\t\treturn issame;\r\n\t}","@Override\r\n\tpublic boolean equals(Object obj) {\r\n\t\tif (this == obj) { return true; }\r\n\t\tif (obj == null) { return false; }\r\n\t\tif (!(obj instanceof Song)) { return false; }\r\n\t\tfinal Song other = (Song) obj;\r\n\t\t\r\n\t\treturn\r\n\t\t\t((name == other.name) || (name != null && name.equals(other.name))) &&\r\n\t\t\t(duration == other.duration);\r\n\t}","@Override\n public boolean equals(Object o)\n {\n if (this == o) return true;\n if (o == null || getClass() != o.getClass()) return false;\n FilePermCacheKey that = (FilePermCacheKey) o;\n if (!tenantId.equals(that.tenantId)) return false;\n if (!username.equals(that.username)) return false;\n if (!systemId.equals(that.systemId)) return false;\n if (!path.equals(that.path)) return false;\n return perm == that.perm;\n }","@Test //same file\n\t\t\tpublic void SameFileDifferentInstances() throws PizzaException, LogHandlerException{\n\t\t\t\tArrayList<Pizza> pizzaArr1;\n\t\t\t\tArrayList<Pizza> pizzaArr2;\n\n\t\t\t\tPath currentRelativePath = Paths.get(\"\");\n\t\t\t\tString s = currentRelativePath.toAbsolutePath().toString();\n\t\t\t\tString path = s + \"\\\\logs\\\\20170101.txt\";\n\t\t\t\t\n\t\t\t\t\n\t\t\t\tpizzaArr2 = LogHandler.populatePizzaDataset(path);\n\t\t\t\tpizzaArr1 = LogHandler.populatePizzaDataset(path);\n\t\t\t\tassertNotEquals(pizzaArr2.hashCode(), pizzaArr1.hashCode());\n\t\t\t}","@Override\n protected boolean doEquals(Object obj) {\n if (obj instanceof BsUserInfo) {\n BsUserInfo other = (BsUserInfo)obj;\n if (!xSV(_id, other._id)) { return false; }\n return true;\n } else {\n return false;\n }\n }","@Override\n public boolean equals(\n Object object\n ){\n \tif(this == object) {\n \t\treturn true;\n \t}\n \tif(object instanceof Path) {\n \t\tPath that = (Path) object;\n \t\tif(this.size == that.size) {\n \t\t\tif(this.size == 0) {\n \t\t\t\treturn true;\n \t\t\t}\n \t\t\tif(this.base.equals(that.base)) {\n \t\t\t return \n \t\t\t this.parent == that.parent ||\n \t\t\t this.parent.equals(that.parent);\n \t\t\t}\n \t\t}\n \t}\n\t\treturn false;\n }","@Override\n public boolean equals(Object o) {\n if (this == o) return true;\n if (o == null || getClass() != o.getClass()) return false;\n\n Node node = (Node) o;\n\n if (position != node.position) return false;\n if (!method.equals(node.method)) return false;\n return clazz.equals(node.clazz);\n }","@Override\r\n public boolean equals(Object other) {\r\n if (other instanceof Song == false)\r\n return false;\r\n return this.toString().equals(other.toString());\r\n }","@Override\n\tpublic boolean equals(Object o) {\n\t\treturn (o instanceof TunaFish);\n\t}","public FileInfo(File file) {\n this.file = file;\n }","@Test\n public void equals() {\n CsvAdaptedPatient alice = new CsvAdaptedPatient(ALICE);\n CsvAdaptedPatient aliceCopy = new CsvAdaptedPatient(new PatientBuilder(ALICE).build());\n\n assertTrue(alice.equals(aliceCopy));\n\n // same object -> returns true\n assertTrue(alice.equals(alice));\n\n // null -> returns false\n assertFalse(alice.equals(null));\n\n // different type -> returns false\n assertFalse(alice.equals(5));\n\n // different patient -> returns false\n assertFalse(alice.equals(new CsvAdaptedPatient(BOB)));\n\n // different name -> returns false\n Patient editedAlice = new PatientBuilder(ALICE).withName(VALID_NAME_BOB).build();\n assertFalse(alice.equals(new CsvAdaptedPatient(editedAlice)));\n\n // different phone -> returns false\n editedAlice = new PatientBuilder(ALICE).withPhone(VALID_PHONE_BOB).build();\n assertFalse(alice.equals(new CsvAdaptedPatient(editedAlice)));\n\n // different address -> returns false\n editedAlice = new PatientBuilder(ALICE).withAddress(VALID_ADDRESS_BOB).build();\n assertFalse(alice.equals(new CsvAdaptedPatient(editedAlice)));\n\n // different remark -> returns false\n editedAlice = new PatientBuilder(ALICE).withRemark(VALID_REMARK_BOB).build();\n assertFalse(alice.equals(new CsvAdaptedPatient(editedAlice)));\n }","public boolean equals(java.lang.Object r5) {\n /*\n r4 = this;\n r0 = 1\n if (r5 != r4) goto L_0x0004\n return r0\n L_0x0004:\n r1 = 0\n if (r5 != 0) goto L_0x0008\n return r1\n L_0x0008:\n java.lang.Class r2 = r5.getClass()\n java.lang.Class r3 = r4.getClass()\n boolean r2 = r2.equals(r3)\n if (r2 == 0) goto L_0x004b\n com.dropbox.core.v2.files.ThumbnailArg r5 = (com.dropbox.core.p005v2.files.ThumbnailArg) r5\n java.lang.String r2 = r4.path\n java.lang.String r3 = r5.path\n if (r2 == r3) goto L_0x0024\n boolean r2 = r2.equals(r3)\n if (r2 == 0) goto L_0x0049\n L_0x0024:\n com.dropbox.core.v2.files.ThumbnailFormat r2 = r4.format\n com.dropbox.core.v2.files.ThumbnailFormat r3 = r5.format\n if (r2 == r3) goto L_0x0030\n boolean r2 = r2.equals(r3)\n if (r2 == 0) goto L_0x0049\n L_0x0030:\n com.dropbox.core.v2.files.ThumbnailSize r2 = r4.size\n com.dropbox.core.v2.files.ThumbnailSize r3 = r5.size\n if (r2 == r3) goto L_0x003c\n boolean r2 = r2.equals(r3)\n if (r2 == 0) goto L_0x0049\n L_0x003c:\n com.dropbox.core.v2.files.ThumbnailMode r2 = r4.mode\n com.dropbox.core.v2.files.ThumbnailMode r5 = r5.mode\n if (r2 == r5) goto L_0x004a\n boolean r5 = r2.equals(r5)\n if (r5 == 0) goto L_0x0049\n goto L_0x004a\n L_0x0049:\n r0 = 0\n L_0x004a:\n return r0\n L_0x004b:\n return r1\n */\n throw new UnsupportedOperationException(\"Method not decompiled: com.dropbox.core.p005v2.files.ThumbnailArg.equals(java.lang.Object):boolean\");\n }","public boolean nextFileInfo(FileInfo info) {\n\n\t\t// Get the next file from the search\n\n\t\ttry {\n\n\t\t\t// Return the next file details or loop until a match is found if a\n\t\t\t// complex wildcard filter\n\t\t\t// has been specified\n\t\t\twhile (m_rs.next()) {\n\t\t\t\tString name = m_rs.getString(\"name\");\n\t\t\t\t// Get the file name for the next file\n\t\t\t\tinfo.setFileId(m_rs.getInt(\"id\"));\n\t\t\t\tinfo.setFileName(name);\n\t\t\t\tinfo.setSize(m_rs.getLong(\"size\"));\n\t\t\t\tif(name.equalsIgnoreCase(DBUtil.CLOUDURL))\n\t\t\t\t{\n\t\t\t\t\ttry{\n\t\t\t\t\t//重设置大小\n\t\t\t\t\tinfo.setFileId(-99);\n//\t\t\t\t\tinfo.setFileId(-userId);\n\t\t\t\t\tinfo.setSize(DBUtil.getURLMYFILE_TXT(this.getBaseUrl(),userId).getBytes().length);\n\t\t\t\t\t}catch(Exception e)\n\t\t\t\t\t{\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tlong modifyDate = m_rs.getLong(\"lastModified\");\n\t\t\t\tif (modifyDate != 0L)\n\t\t\t\t\tinfo.setModifyDateTime(modifyDate);\n\t\t\t\telse\n\t\t\t\t\tinfo.setModifyDateTime(System.currentTimeMillis());\n\t\t\t\t\n\t\t\t\tTimestamp ts = m_rs.getTimestamp(\"add_time\");\n\t\t\t\tif (ts !=null && ts.getTime()>0)\n\t\t\t\t{\n\t\t\t\t\tinfo.setCreationDateTime(ts.getTime());\n\t\t\t\t\tinfo.setChangeDateTime(info.getModifyDateTime());\n\t\t\t\t}\n\t\t\t\telse\n\t\t\t\t{\n\t\t\t\t\tinfo.setCreationDateTime(info.getModifyDateTime());\n\t\t\t\t\tinfo.setChangeDateTime(info.getModifyDateTime());\n\t\t\t\t}\t\t\t\t\n\t\t\t\tint attr = 0;\n\t\t\t\tif (m_rs.getBoolean(\"isFile\") == true) {\n\t\t\t\t\tinfo.setFileType(FileType.RegularFile);\t\t\t\t\t\n\t\t\t\t\tattr += FileAttribute.ReadOnly;// 只读权限\n\t\t\t\t} else\n\t\t\t\t\tattr += FileAttribute.Directory;\n\n\t\t\t\tif (m_rs.getBoolean(\"isHidden\") == true) \n\t\t\t\t{\n\t\t\t\t\tattr += FileAttribute.Hidden;//隐藏\n\t\t\t\t}\n\t\t\t\tinfo.setFileType(FileType.Directory);\n\t\t\t\t\t\t\t\t\n\t\t\t\tif (hasMarkAsOffline()) {\n\t\t\t\t\tif (getOfflineFileSize() == 0 || info.getSize() >= getOfflineFileSize())\n\t\t\t\t\t\tattr += FileAttribute.NTOffline;\n\t\t\t\t}\n\t\t\t\tinfo.setFileAttributes(attr);\n\t\t\t\tinfo.setUid(userId);\n\n\t\t\t\tif (m_filter == null || m_filter.matchesPattern(info.getFileName()) == true)\n\t\t\t\t\treturn true;\n\t\t\t}\n\t\t} catch (SQLException ex) {\n\t\t\tex.printStackTrace();\n\t\t}\n\t\t// No more files\n\t\tcloseSearch();\n\t\treturn false;\n\t}","@Override\n public boolean equals(Object obj) {\n return super.equals(obj);\n }","@Test\n\tpublic void sameModificationDate() throws IOException {\n\t\tFile firstFile = File.createTempFile(\"junit\", null);\n\t\tFile secondFile = File.createTempFile(\"junit\", null);\n\t\tsecondFile.setLastModified(firstFile.lastModified());\n\n\t\tFileTuple firstTuple = new FileTuple(firstFile, firstFile);\n\t\tFileTuple secondTuple = new FileTuple(secondFile, secondFile);\n\n\t\tassertThat(COMPARATOR.compare(firstTuple, secondTuple)).isZero();\n\t}","@Override\n public boolean equals(Object obj) {\n return this == obj;\n }","@Override\n public boolean equals(Object obj) {\n return this == obj;\n }","entities.Torrent.FileInfo getFileInfo();","entities.Torrent.FileInfo getFileInfo();","public void testEquals()\r\n\t{\r\n\t\tIrClassType irClassType1 = new IrClassType();\r\n\t\tirClassType1.setName(\"irClassTypeName\");\r\n\t\tirClassType1.setDescription(\"irClassTypeDescription\");\r\n\t\tirClassType1.setId(55l);\r\n\t\tirClassType1.setVersion(33);\r\n\t\t\r\n\t\tIrClassType irClassType2 = new IrClassType();\r\n\t\tirClassType2.setName(\"irClassTypeName2\");\r\n\t\tirClassType2.setDescription(\"irClassTypeDescription2\");\r\n\t\tirClassType2.setId(55l);\r\n\t\tirClassType2.setVersion(33);\r\n\r\n\t\t\r\n\t\tIrClassType irClassType3 = new IrClassType();\r\n\t\tirClassType3.setName(\"irClassTypeName\");\r\n\t\tirClassType3.setDescription(\"irClassTypeDescription\");\r\n\t\tirClassType3.setId(55l);\r\n\t\tirClassType3.setVersion(33);\r\n\t\t\r\n\t\tassert irClassType1.equals(irClassType3) : \"Classes should be equal\";\r\n\t\tassert !irClassType1.equals(irClassType2) : \"Classes should not be equal\";\r\n\t\t\r\n\t\tassert irClassType1.hashCode() == irClassType3.hashCode() : \"Hash codes should be the same\";\r\n\t\tassert irClassType2.hashCode() != irClassType3.hashCode() : \"Hash codes should not be the same\";\r\n\t}","@Override\n\tpublic boolean equals(Object o) {\n\t\treturn (o instanceof AnchovyFish);\n\t}","@Override\n public boolean equals(Object object) {\n if (!(object instanceof Format)) {\n return false;\n }\n Format other = (Format) object;\n if ((this.type == null && other.type != null) || (this.type != null && !this.type.equals(other.type))) {\n return false;\n }\n return true;\n }","@Override\n public boolean equals(Object other) {\n return super.equals(other);\n }","@Test\n public void equals_returnsTrueIfNameIsTheSame_false() {\n Animal firstAnimal = new Animal(\"Deer\");\n Animal anotherAnimal = new Animal(\"Deer\");\n assertTrue(firstAnimal.equals(anotherAnimal));\n }","@Override\n public boolean equals(Object object) {\n if (!(object instanceof UserInfo)) {\n return false;\n }\n UserInfo other = (UserInfo) object;\n if ((this.id == null && other.id != null) || (this.id != null && !this.id.equals(other.id))) {\n return false;\n }\n return true;\n }","@Override\n public boolean equals(Object object) {\n if (!(object instanceof UserInfo)) {\n return false;\n }\n UserInfo other = (UserInfo) object;\n if ((this.id == null && other.id != null) || (this.id != null && !this.id.equals(other.id))) {\n return false;\n }\n return true;\n }","@Override\n public boolean equals(Object object) {\n if (!(object instanceof UserInfo)) {\n return false;\n }\n UserInfo other = (UserInfo) object;\n if ((this.id == null && other.id != null) || (this.id != null && !this.id.equals(other.id))) {\n return false;\n }\n return true;\n }","@Override\r\n public boolean equals(Object object) {\n if (!(object instanceof Infoentity)) {\r\n return false;\r\n }\r\n Infoentity other = (Infoentity) object;\r\n if ((this.id == null && other.id != null) || (this.id != null && !this.id.equals(other.id))) {\r\n return false;\r\n }\r\n return true;\r\n }","@Override\r\n\tpublic boolean equals(Object ob){\n\t\tItem itemob=(Item)ob;\t//transfer object type to Item type\r\n\t\tif(this.UID==itemob.UID && this.TITLE==itemob.TITLE && this.NOOFCOPIES==itemob.NOOFCOPIES) {\r\n\t\t\treturn true;\r\n\t\t}\r\n\t\treturn false;\r\n\t}","@Override\n public final boolean equals( Object obj ) {\n return super.equals(obj);\n }","@Override\n public boolean equals(Object object) {\n if (!(object instanceof Galeria)) {\n return false;\n }\n Galeria other = (Galeria) object;\n if ((this.idFoto == null && other.idFoto != null) || (this.idFoto != null && !this.idFoto.equals(other.idFoto))) {\n return false;\n }\n return true;\n }","public boolean metadataEquals(INodeDirectory other) {\r\n return other != null && getNsQuota() == other.getNsQuota()\r\n && getDsQuota() == other.getDsQuota()\r\n && getUserName().equals(other.getUserName())\r\n && getGroupName().equals(other.getGroupName())\r\n && getFsPermission().equals(other.getFsPermission());\r\n }","public boolean isEqual(Object objectname1, Object objectname2, Class<?> voClass) {\n\t\treturn false;\n\t}","@Override\n public final boolean equals(final Object other) {\n return super.equals(other);\n }","public final FileInfoBase getFileInfo() {\r\n return fileInfo;\r\n }","@Override\n\t\tpublic boolean equals(Object obj) {\n\t\t\treturn super.equals(obj);\n\t\t}","@Override\n public boolean equals (Object object)\n {\n if (!(object instanceof POFileDiscountPK)) {\n return false;\n }\n \n POFileDiscountPK other = (POFileDiscountPK) object;\n if (this.v_poFile.equals(other.v_poFile))\n return false;\n if (this.v_name.equals(other.v_name))\n return false;\n \n return true;\n }","@Override\n public boolean equals(Object obj) {\n return super.equals(obj);\n }","@Override\n public boolean equals(Object o) {\n return this == o;\n }","@Override\n public boolean equals(Object o) {\n if (this == o) {\n return true;\n }\n if (o == null || getClass() != o.getClass()) {\n return false;\n }\n Entry entry = (Entry) o;\n return field == entry.field;\n }","@Override\r\n public boolean equals(Object object) {\n if (!(object instanceof Importador)) {\r\n return false;\r\n }\r\n Importador other = (Importador) object;\r\n if ((this.codigo == null && other.codigo != null) || (this.codigo != null && !this.codigo.equals(other.codigo))) {\r\n return false;\r\n }\r\n return true;\r\n }","@Override\r\n\tpublic boolean equals(Object obj) {\n\t\treturn super.equals(obj);\r\n\t}","@Override\r\n\tpublic boolean equals(Object obj) {\n\t\treturn super.equals(obj);\r\n\t}","@Override\r\n\tpublic boolean equals(Object obj) {\n\t\treturn super.equals(obj);\r\n\t}","@Override\r\n public boolean equals(Object obj) {\r\n return super.equals(obj);\r\n }","@Override\n public boolean equals(Object obj) {\n if (obj instanceof UsageInfo) {\n UsageInfo info = (UsageInfo)obj;\n return info.getPhysicalMachine().getID() == pm.getID();\n }\n return false;\n }","@Test\n public void checkIfNewFilenameAlreadyExists(){\n Music randomMusicCD1 = new Music(\"Random CD 1\", \"11/12/1993\",\"Rock\",\"Jack\",12,100);\n DiscFile<Music> randomMusicFile1 = new DiscFile<Music>(randomMusicCD1, randomMusicCD1.getTitle(), randomMusicCD1.getFullDetails(), \"randomcCD1\");\n\n Music randomMusicCD2 = new Music(\"Random CD 2\", \"08/05/2004\",\"Pop\",\"Ben\",8,70);\n DiscFile<Music> randomMusicFile2 = new DiscFile<Music>(randomMusicCD2, randomMusicCD1.getTitle(), randomMusicCD2.getFullDetails(), \"randomCD2\");\n\n boolean actual = rename.renameFile(\"tomsmith\",\"badboymusic\");\n assertTrue(actual);\n }","@Override\n\tpublic boolean equals(Object obj) {\n\t\treturn super.equals(obj);\n\t}","@Override\n\tpublic boolean equals(Object obj) {\n\t\treturn super.equals(obj);\n\t}","@Override\n\tpublic boolean equals(Object obj) {\n\t\treturn super.equals(obj);\n\t}","@Override\n\tpublic boolean equals(Object obj) {\n\t\treturn super.equals(obj);\n\t}","@Override\n\tpublic boolean equals(Object obj) {\n\t\treturn super.equals(obj);\n\t}","@Override\n\tpublic boolean equals(Object obj) {\n\t\treturn super.equals(obj);\n\t}","protected boolean equals(URL paramURL1, URL paramURL2) {\n/* 336 */ String str1 = paramURL1.getRef();\n/* 337 */ String str2 = paramURL2.getRef();\n/* 338 */ return ((str1 == str2 || (str1 != null && str1.equals(str2))) && \n/* 339 */ sameFile(paramURL1, paramURL2));\n/* */ }","@Override\n public boolean equals(Object obj) {\n \n //TODO: Complete Method\n \n return true;\n }","@Override\n\tpublic boolean equals(Object object) {\n\t\tboolean isEqual = false;\n\n\t\tif (object != null && object instanceof CharacterSheet) {\n\t\t\tisEqual = (this.fileAbsolutePath\n\t\t\t\t\t.equals(((CharacterSheet) object).fileAbsolutePath));\n\t\t}\n\n\t\treturn isEqual;\n\t}","public final boolean equals(java.lang.Object r2) {\n /*\n r1 = this;\n if (r1 == r2) goto L_0x0015\n boolean r0 = r2 instanceof com.p280ss.android.ugc.aweme.shortvideo.subtitle.SubtitleOriginalSoundUploadTask\n if (r0 == 0) goto L_0x0013\n com.ss.android.ugc.aweme.shortvideo.subtitle.SubtitleOriginalSoundUploadTask r2 = (com.p280ss.android.ugc.aweme.shortvideo.subtitle.SubtitleOriginalSoundUploadTask) r2\n java.lang.String r0 = r1.f106943b\n java.lang.String r2 = r2.f106943b\n boolean r2 = kotlin.jvm.internal.C7573i.m23585a(r0, r2)\n if (r2 == 0) goto L_0x0013\n goto L_0x0015\n L_0x0013:\n r2 = 0\n return r2\n L_0x0015:\n r2 = 1\n return r2\n */\n throw new UnsupportedOperationException(\"Method not decompiled: com.p280ss.android.ugc.aweme.shortvideo.subtitle.SubtitleOriginalSoundUploadTask.equals(java.lang.Object):boolean\");\n }","@Override\n\tpublic boolean equals(Object other) { \n\t\tif (other instanceof Fish) {\n\t\t\tFish otherFish =((Fish) other);\n\t\t\treturn this.xloc == otherFish.getXLoc() && this.yloc == otherFish.getYLoc()\n\t\t\t\t\t\t\t\t&& this.isCaught == otherFish.isCaught && this.direction\n\t\t\t\t\t\t\t\t== otherFish.direction && this.species == otherFish.species;\n\t\t}\n\t\treturn false;\n\t}","@Override\n\tpublic boolean equals(Object obj) {\n\t\tif (this == obj)\n\t\t\treturn true;\n\t\tif (obj == null)\n\t\t\treturn false;\n\t\tif (getClass() != obj.getClass())\n\t\t\treturn false;\n\t\treturn true;\n\t}","@Override\n public final boolean equals(Object obj) {\n return super.equals(obj);\n }","@Override\n boolean equals(Object obj);","@Override\n public boolean equals(Object o) {\n return true;\n }","@Override\n public boolean equals(Object obj) {\n if (!(obj instanceof Entry<?>)) {\n return false;\n }\n\n var entry = (Entry<?>) obj;\n\n if (!this.registry.equals(entry.registry)) {\n return false;\n }\n\n if (this.index != entry.index) {\n return false;\n }\n\n if (this.value.getClass() != entry.value.getClass()) {\n return false;\n }\n\n return true;\n }","public boolean equals(Object object) {\n/* 4770 */ if (this == object)\n/* */ {\n/* 4772 */ return true;\n/* */ }\n/* 4774 */ if (object != null && object.getClass() == getClass()) {\n/* */ \n/* 4776 */ VolaTile tile = (VolaTile)object;\n/* 4777 */ return (tile.getTileX() == this.tilex && tile.getTileY() == this.tiley && tile.surfaced == this.surfaced);\n/* */ } \n/* 4779 */ return false;\n/* */ }","@Override \n boolean equals(Object obj);"],"string":"[\n \"public boolean equals(Object obj) {\\n/* 64 */ if (this == obj) {\\n/* 65 */ return true;\\n/* */ }\\n/* 67 */ if (obj == null) {\\n/* 68 */ return false;\\n/* */ }\\n/* 70 */ if (getClass() != obj.getClass()) {\\n/* 71 */ return false;\\n/* */ }\\n/* 73 */ FileBean other = (FileBean)obj;\\n/* 74 */ if (this.filePath == null) {\\n/* 75 */ if (other.filePath != null)\\n/* 76 */ return false; \\n/* 77 */ } else if (!this.filePath.equals(other.filePath)) {\\n/* 78 */ return false;\\n/* 79 */ } return true;\\n/* */ }\",\n \"public boolean equals(Object obj)\\n {\\n if (obj instanceof ClassFile)\\n {\\n ClassFile that = (ClassFile) obj;\\n if (this == that)\\n {\\n return true;\\n }\\n\\n // equal iff .class structure is identical\\n byte[] abThis = this.getBytes();\\n byte[] abThat = that.getBytes();\\n return Arrays.equals(abThis, abThat);\\n }\\n return false;\\n }\",\n \"@Override\\r\\n\\tpublic boolean equals(Object fileBean){\\r\\n\\t\\tFileBean newBean = (FileBean)fileBean;\\r\\n\\t\\treturn newBean.toString().compareTo(this.toString()) == 0;\\r\\n\\t}\",\n \"@Override\\r\\n public boolean equals(Object object) {\\n if (!(object instanceof FS)) {\\r\\n return false;\\r\\n }\\r\\n FS other = (FS) object;\\r\\n return !((this.idfs == null && other.idfs != null) || (this.idfs != null && !this.idfs.equals(other.idfs)));\\r\\n }\",\n \"@Override\\r\\n public boolean equals(Object obj) {\\r\\n if(obj == null)\\r\\n return false;\\r\\n if(obj instanceof FileNode) {\\r\\n if(((FileNode) obj).getData().equals(this.data)) \\r\\n return true;\\r\\n }\\r\\n return false;\\r\\n }\",\n \"@Override\\n public boolean equals(Object obj) {\\n FSItem item=(FSItem)obj;\\n return this.fsItemPath.equals(item.fsItemPath);\\n }\",\n \"@Override\\r\\n public boolean equals(Object object) {\\n if (!(object instanceof Namefile)) {\\r\\n return false;\\r\\n }\\r\\n Namefile other = (Namefile) object;\\r\\n if ((this.namefilePK == null && other.namefilePK != null) || (this.namefilePK != null && !this.namefilePK.equals(other.namefilePK))) {\\r\\n return false;\\r\\n }\\r\\n return true;\\r\\n }\",\n \"@Override\\n public boolean equals(Object o) {\\n if (this == o) {\\n return true;\\n }\\n if (o == null || getClass() != o.getClass()) {\\n return false;\\n }\\n File file = (File) o;\\n if (file.getId() == null || getId() == null) {\\n return false;\\n }\\n return Objects.equals(getId(), file.getId());\\n }\",\n \"public boolean equals(Object object) {\\n if (object instanceof ImageFile) {\\n ImageFile imageFile = (ImageFile) object;\\n return imageFile.getOpenable() == this.getOpenable() &&\\n imageFile.getPlayable() == this.getPlayable() &&\\n imageFile.animated() == this.animated() &&\\n imageFile.getFileSizeInBytes() == this.getFileSizeInBytes() &&\\n imageFile.getImageHeight() == this.getImageHeight() &&\\n imageFile.getImageWidth() == this.getImageWidth() &&\\n imageFile.getOpensWith().equals(this.getOpensWith()) &&\\n imageFile.getFile() == this.getFile();\\n }\\n return false;\\n }\",\n \"@Override\\n public boolean equals(Object o)\\n {\\n //thanks to GeeksforGeeks for general form https://www.geeksforgeeks.org/overriding-equals-method-in-java/\\n if (o == this)\\n return true;\\n if (!(o instanceof Thumbnail))\\n return false;\\n \\n Thumbnail t = (Thumbnail) o;\\n return imagePath.equals(t.getImagePath());\\n }\",\n \"public boolean equals(Object arg) {\\n\\t\\tif (arg == null) {\\n\\t\\t\\treturn(false);\\n\\t\\t}\\n\\t\\t\\n\\t\\tFileSystem temp = (FileSystem) arg;\\n\\t\\t\\n\\t\\tif (temp.getDevice().equals(_device)) {\\n\\t\\t\\t//empty\\n\\t\\t} else {\\n\\t\\t\\treturn(false);\\n\\t\\t}\\n\\t\\t\\n\\t\\tif (temp.getMountPoint().equals(_mount)) {\\n\\t\\t\\t//empty\\n\\t\\t} else {\\n\\t\\t\\treturn(false);\\n\\t\\t}\\n\\t\\t\\n\\t\\tif (temp.getFileSystemType().equals(_type)) {\\n\\t\\t\\t//empty\\n\\t\\t} else {\\n\\t\\t\\treturn(false);\\n\\t\\t}\\n\\t\\t\\n\\t\\treturn(true);\\n\\t}\",\n \"boolean hasFileInfo();\",\n \"boolean hasFileInfo();\",\n \"@Override\\n public boolean equals(Object it) {\\n return !(it == null || getClass() != it.getClass()) && equals((TarArchiveEntry) it);\\n }\",\n \"@Override\\n public boolean equals(Object object) {\\n if (!(object instanceof IntegrationFile)) {\\n return false;\\n }\\n IntegrationFile other = (IntegrationFile) object;\\n if ((this.id == null && other.id != null) || (this.id != null && !this.id.equals(other.id))) {\\n return false;\\n }\\n \\n return true;\\n }\",\n \"@Test\\n\\tpublic void testSetFileInfo() {\\n\\n\\t}\",\n \"public boolean equals(Object fn) {\\n if (!(fn instanceof FileName)) {\\n return false;\\n }\\n\\n return ((FileName) fn).getFile().equals(this.getFile());\\n }\",\n \"public FileInfo getFileInfo() {\\n return fileInfo;\\n }\",\n \"@Override\\n public boolean equals(Object obj) {\\n if (!(obj instanceof XiangqiCoordinate)) return false;\\n XiangqiCoordinate coordinate = (XiangqiCoordinate) obj;\\n return coordinate.getRank() == rank && coordinate.getFile() == file;\\n }\",\n \"@Override\\n public boolean equals(Object object) {\\n if (!(object instanceof Perfiles)) {\\n return false;\\n }\\n Perfiles other = (Perfiles) object;\\n if ((this.idPerfil == null && other.idPerfil != null) || (this.idPerfil != null && !this.idPerfil.equals(other.idPerfil))) {\\n return false;\\n }\\n return true;\\n }\",\n \"@java.lang.Override\\n public boolean hasFileInfo() {\\n return fileInfo_ != null;\\n }\",\n \"@java.lang.Override\\n public boolean hasFileInfo() {\\n return fileInfo_ != null;\\n }\",\n \"@Override\\n public boolean equals(Object object) {\\n if (!(object instanceof AttachmentFile)) {\\n return false;\\n }\\n AttachmentFile other = (AttachmentFile) object;\\n if ((this.idAttachmentFile == null && other.idAttachmentFile != null) || (this.idAttachmentFile != null && !this.idAttachmentFile.equals(other.idAttachmentFile))) {\\n return false;\\n }\\n return true;\\n }\",\n \"public boolean equals(java.lang.Object r5) {\\n /*\\n r4 = this;\\n r0 = 1\\n if (r5 != r4) goto L_0x0004\\n return r0\\n L_0x0004:\\n r1 = 0\\n if (r5 != 0) goto L_0x0008\\n return r1\\n L_0x0008:\\n java.lang.Class r2 = r5.getClass()\\n java.lang.Class r3 = r4.getClass()\\n boolean r2 = r2.equals(r3)\\n if (r2 == 0) goto L_0x003f\\n com.dropbox.core.v2.sharing.ChangeFileMemberAccessArgs r5 = (com.dropbox.core.p005v2.sharing.ChangeFileMemberAccessArgs) r5\\n java.lang.String r2 = r4.file\\n java.lang.String r3 = r5.file\\n if (r2 == r3) goto L_0x0024\\n boolean r2 = r2.equals(r3)\\n if (r2 == 0) goto L_0x003d\\n L_0x0024:\\n com.dropbox.core.v2.sharing.MemberSelector r2 = r4.member\\n com.dropbox.core.v2.sharing.MemberSelector r3 = r5.member\\n if (r2 == r3) goto L_0x0030\\n boolean r2 = r2.equals(r3)\\n if (r2 == 0) goto L_0x003d\\n L_0x0030:\\n com.dropbox.core.v2.sharing.AccessLevel r2 = r4.accessLevel\\n com.dropbox.core.v2.sharing.AccessLevel r5 = r5.accessLevel\\n if (r2 == r5) goto L_0x003e\\n boolean r5 = r2.equals(r5)\\n if (r5 == 0) goto L_0x003d\\n goto L_0x003e\\n L_0x003d:\\n r0 = 0\\n L_0x003e:\\n return r0\\n L_0x003f:\\n return r1\\n */\\n throw new UnsupportedOperationException(\\\"Method not decompiled: com.dropbox.core.p005v2.sharing.ChangeFileMemberAccessArgs.equals(java.lang.Object):boolean\\\");\\n }\",\n \"public boolean hasFileInfo() {\\n return fieldSetFlags()[15];\\n }\",\n \"@Override\\r\\n\\tpublic boolean equals(Object obj) {\\r\\n\\t\\tif (!(obj instanceof ChunkID))\\r\\n\\t\\t\\treturn false;\\r\\n\\r\\n\\t\\tChunkID chunkObj = (ChunkID) obj;\\r\\n\\r\\n\\t\\tif (this.getChunkNumber() != chunkObj.getChunkNumber() || !this.getFileID().equals(chunkObj.getFileID()))\\r\\n\\t\\t\\treturn false;\\r\\n\\r\\n\\t\\treturn true;\\r\\n\\t}\",\n \"public FileInfo()\\r\\n {\\r\\n hash = new HashInfo();\\r\\n }\",\n \"@Override\\n\\tpublic boolean equals(Object obj) {\\n\\t\\tCommunitySubGraph dstGraph = (CommunitySubGraph) obj;\\n\\t\\tif (this.filePath.equals(dstGraph.filePath)) {\\n\\t\\t\\treturn true;\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean equals(Object obj) {\\n if(obj == null) return false;\\n if(!(obj instanceof JFMViewRepresentation)) return false;\\n JFMViewRepresentation viewObj = (JFMViewRepresentation)obj;\\n //if any of the members are null, return false\\n if(this.getName() == null || this.getClassName() == null) return false;\\n if(viewObj.getName() == null || viewObj.getClassName() == null) return false; \\n if(!getName().equals(viewObj.getName())) return false;\\n if(!getClassName().equals(viewObj.getClassName())) return false;\\n return true;\\n }\",\n \"public boolean equals (Object object) {\\n\\t\\tif (object == null)\\n\\t\\t\\treturn false;\\n\\t\\tif (object instanceof Photo) {\\n\\t\\t\\tPhoto newObject = (Photo) object;\\n\\t\\t\\tif (this.caption.equals(newObject.getCaption()) && this.filename.equals(newObject.getFilename())){\\n\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t\\telse \\n\\t\\t\\t\\treturn false;\\n\\t\\t}\\n\\t\\telse {\\n\\t\\t\\treturn false;\\n\\t\\t}\\n\\t}\",\n \"public boolean equals(TarArchiveEntry it) {\\n return getName().equals(it.getName());\\n }\",\n \"public boolean hasFileInfo() {\\n return fileInfoBuilder_ != null || fileInfo_ != null;\\n }\",\n \"public boolean hasFileInfo() {\\n return fileInfoBuilder_ != null || fileInfo_ != null;\\n }\",\n \"private Equals() {}\",\n \"@Override\\n public boolean equals(Object o) {\\n if (o == this) { \\n return true; \\n } \\n \\n /* Check if o is an instance of Complex or not \\n \\\"null instanceof [type]\\\" also returns false */\\n if (!(o instanceof Path)) { \\n return false; \\n } \\n \\n // typecast o to Complex so that we can compare data members \\n Path p = (Path) o; \\n \\n // Compare the data members and return accordingly \\n return (this.startingPointIndex == p.startingPointIndex && this.distance == p.distance);\\n }\",\n \"@Override\\r\\n\\tpublic boolean equals(Object obj) {\\n\\t\\tboolean issame = false;\\r\\n\\t\\tif(obj instanceof MediaItem) {\\r\\n\\t\\t\\tMediaItem mi = (MediaItem)obj;\\r\\n\\t\\t\\tboolean a = this.runTime == mi.runTime;\\r\\n\\t\\t return a;\\r\\n\\t\\t}\\r\\n\\t\\treturn issame;\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic boolean equals(Object obj) {\\r\\n\\t\\tif (this == obj) { return true; }\\r\\n\\t\\tif (obj == null) { return false; }\\r\\n\\t\\tif (!(obj instanceof Song)) { return false; }\\r\\n\\t\\tfinal Song other = (Song) obj;\\r\\n\\t\\t\\r\\n\\t\\treturn\\r\\n\\t\\t\\t((name == other.name) || (name != null && name.equals(other.name))) &&\\r\\n\\t\\t\\t(duration == other.duration);\\r\\n\\t}\",\n \"@Override\\n public boolean equals(Object o)\\n {\\n if (this == o) return true;\\n if (o == null || getClass() != o.getClass()) return false;\\n FilePermCacheKey that = (FilePermCacheKey) o;\\n if (!tenantId.equals(that.tenantId)) return false;\\n if (!username.equals(that.username)) return false;\\n if (!systemId.equals(that.systemId)) return false;\\n if (!path.equals(that.path)) return false;\\n return perm == that.perm;\\n }\",\n \"@Test //same file\\n\\t\\t\\tpublic void SameFileDifferentInstances() throws PizzaException, LogHandlerException{\\n\\t\\t\\t\\tArrayList<Pizza> pizzaArr1;\\n\\t\\t\\t\\tArrayList<Pizza> pizzaArr2;\\n\\n\\t\\t\\t\\tPath currentRelativePath = Paths.get(\\\"\\\");\\n\\t\\t\\t\\tString s = currentRelativePath.toAbsolutePath().toString();\\n\\t\\t\\t\\tString path = s + \\\"\\\\\\\\logs\\\\\\\\20170101.txt\\\";\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tpizzaArr2 = LogHandler.populatePizzaDataset(path);\\n\\t\\t\\t\\tpizzaArr1 = LogHandler.populatePizzaDataset(path);\\n\\t\\t\\t\\tassertNotEquals(pizzaArr2.hashCode(), pizzaArr1.hashCode());\\n\\t\\t\\t}\",\n \"@Override\\n protected boolean doEquals(Object obj) {\\n if (obj instanceof BsUserInfo) {\\n BsUserInfo other = (BsUserInfo)obj;\\n if (!xSV(_id, other._id)) { return false; }\\n return true;\\n } else {\\n return false;\\n }\\n }\",\n \"@Override\\n public boolean equals(\\n Object object\\n ){\\n \\tif(this == object) {\\n \\t\\treturn true;\\n \\t}\\n \\tif(object instanceof Path) {\\n \\t\\tPath that = (Path) object;\\n \\t\\tif(this.size == that.size) {\\n \\t\\t\\tif(this.size == 0) {\\n \\t\\t\\t\\treturn true;\\n \\t\\t\\t}\\n \\t\\t\\tif(this.base.equals(that.base)) {\\n \\t\\t\\t return \\n \\t\\t\\t this.parent == that.parent ||\\n \\t\\t\\t this.parent.equals(that.parent);\\n \\t\\t\\t}\\n \\t\\t}\\n \\t}\\n\\t\\treturn false;\\n }\",\n \"@Override\\n public boolean equals(Object o) {\\n if (this == o) return true;\\n if (o == null || getClass() != o.getClass()) return false;\\n\\n Node node = (Node) o;\\n\\n if (position != node.position) return false;\\n if (!method.equals(node.method)) return false;\\n return clazz.equals(node.clazz);\\n }\",\n \"@Override\\r\\n public boolean equals(Object other) {\\r\\n if (other instanceof Song == false)\\r\\n return false;\\r\\n return this.toString().equals(other.toString());\\r\\n }\",\n \"@Override\\n\\tpublic boolean equals(Object o) {\\n\\t\\treturn (o instanceof TunaFish);\\n\\t}\",\n \"public FileInfo(File file) {\\n this.file = file;\\n }\",\n \"@Test\\n public void equals() {\\n CsvAdaptedPatient alice = new CsvAdaptedPatient(ALICE);\\n CsvAdaptedPatient aliceCopy = new CsvAdaptedPatient(new PatientBuilder(ALICE).build());\\n\\n assertTrue(alice.equals(aliceCopy));\\n\\n // same object -> returns true\\n assertTrue(alice.equals(alice));\\n\\n // null -> returns false\\n assertFalse(alice.equals(null));\\n\\n // different type -> returns false\\n assertFalse(alice.equals(5));\\n\\n // different patient -> returns false\\n assertFalse(alice.equals(new CsvAdaptedPatient(BOB)));\\n\\n // different name -> returns false\\n Patient editedAlice = new PatientBuilder(ALICE).withName(VALID_NAME_BOB).build();\\n assertFalse(alice.equals(new CsvAdaptedPatient(editedAlice)));\\n\\n // different phone -> returns false\\n editedAlice = new PatientBuilder(ALICE).withPhone(VALID_PHONE_BOB).build();\\n assertFalse(alice.equals(new CsvAdaptedPatient(editedAlice)));\\n\\n // different address -> returns false\\n editedAlice = new PatientBuilder(ALICE).withAddress(VALID_ADDRESS_BOB).build();\\n assertFalse(alice.equals(new CsvAdaptedPatient(editedAlice)));\\n\\n // different remark -> returns false\\n editedAlice = new PatientBuilder(ALICE).withRemark(VALID_REMARK_BOB).build();\\n assertFalse(alice.equals(new CsvAdaptedPatient(editedAlice)));\\n }\",\n \"public boolean equals(java.lang.Object r5) {\\n /*\\n r4 = this;\\n r0 = 1\\n if (r5 != r4) goto L_0x0004\\n return r0\\n L_0x0004:\\n r1 = 0\\n if (r5 != 0) goto L_0x0008\\n return r1\\n L_0x0008:\\n java.lang.Class r2 = r5.getClass()\\n java.lang.Class r3 = r4.getClass()\\n boolean r2 = r2.equals(r3)\\n if (r2 == 0) goto L_0x004b\\n com.dropbox.core.v2.files.ThumbnailArg r5 = (com.dropbox.core.p005v2.files.ThumbnailArg) r5\\n java.lang.String r2 = r4.path\\n java.lang.String r3 = r5.path\\n if (r2 == r3) goto L_0x0024\\n boolean r2 = r2.equals(r3)\\n if (r2 == 0) goto L_0x0049\\n L_0x0024:\\n com.dropbox.core.v2.files.ThumbnailFormat r2 = r4.format\\n com.dropbox.core.v2.files.ThumbnailFormat r3 = r5.format\\n if (r2 == r3) goto L_0x0030\\n boolean r2 = r2.equals(r3)\\n if (r2 == 0) goto L_0x0049\\n L_0x0030:\\n com.dropbox.core.v2.files.ThumbnailSize r2 = r4.size\\n com.dropbox.core.v2.files.ThumbnailSize r3 = r5.size\\n if (r2 == r3) goto L_0x003c\\n boolean r2 = r2.equals(r3)\\n if (r2 == 0) goto L_0x0049\\n L_0x003c:\\n com.dropbox.core.v2.files.ThumbnailMode r2 = r4.mode\\n com.dropbox.core.v2.files.ThumbnailMode r5 = r5.mode\\n if (r2 == r5) goto L_0x004a\\n boolean r5 = r2.equals(r5)\\n if (r5 == 0) goto L_0x0049\\n goto L_0x004a\\n L_0x0049:\\n r0 = 0\\n L_0x004a:\\n return r0\\n L_0x004b:\\n return r1\\n */\\n throw new UnsupportedOperationException(\\\"Method not decompiled: com.dropbox.core.p005v2.files.ThumbnailArg.equals(java.lang.Object):boolean\\\");\\n }\",\n \"public boolean nextFileInfo(FileInfo info) {\\n\\n\\t\\t// Get the next file from the search\\n\\n\\t\\ttry {\\n\\n\\t\\t\\t// Return the next file details or loop until a match is found if a\\n\\t\\t\\t// complex wildcard filter\\n\\t\\t\\t// has been specified\\n\\t\\t\\twhile (m_rs.next()) {\\n\\t\\t\\t\\tString name = m_rs.getString(\\\"name\\\");\\n\\t\\t\\t\\t// Get the file name for the next file\\n\\t\\t\\t\\tinfo.setFileId(m_rs.getInt(\\\"id\\\"));\\n\\t\\t\\t\\tinfo.setFileName(name);\\n\\t\\t\\t\\tinfo.setSize(m_rs.getLong(\\\"size\\\"));\\n\\t\\t\\t\\tif(name.equalsIgnoreCase(DBUtil.CLOUDURL))\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\ttry{\\n\\t\\t\\t\\t\\t//重设置大小\\n\\t\\t\\t\\t\\tinfo.setFileId(-99);\\n//\\t\\t\\t\\t\\tinfo.setFileId(-userId);\\n\\t\\t\\t\\t\\tinfo.setSize(DBUtil.getURLMYFILE_TXT(this.getBaseUrl(),userId).getBytes().length);\\n\\t\\t\\t\\t\\t}catch(Exception e)\\n\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tlong modifyDate = m_rs.getLong(\\\"lastModified\\\");\\n\\t\\t\\t\\tif (modifyDate != 0L)\\n\\t\\t\\t\\t\\tinfo.setModifyDateTime(modifyDate);\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\tinfo.setModifyDateTime(System.currentTimeMillis());\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tTimestamp ts = m_rs.getTimestamp(\\\"add_time\\\");\\n\\t\\t\\t\\tif (ts !=null && ts.getTime()>0)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tinfo.setCreationDateTime(ts.getTime());\\n\\t\\t\\t\\t\\tinfo.setChangeDateTime(info.getModifyDateTime());\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\telse\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tinfo.setCreationDateTime(info.getModifyDateTime());\\n\\t\\t\\t\\t\\tinfo.setChangeDateTime(info.getModifyDateTime());\\n\\t\\t\\t\\t}\\t\\t\\t\\t\\n\\t\\t\\t\\tint attr = 0;\\n\\t\\t\\t\\tif (m_rs.getBoolean(\\\"isFile\\\") == true) {\\n\\t\\t\\t\\t\\tinfo.setFileType(FileType.RegularFile);\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tattr += FileAttribute.ReadOnly;// 只读权限\\n\\t\\t\\t\\t} else\\n\\t\\t\\t\\t\\tattr += FileAttribute.Directory;\\n\\n\\t\\t\\t\\tif (m_rs.getBoolean(\\\"isHidden\\\") == true) \\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tattr += FileAttribute.Hidden;//隐藏\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tinfo.setFileType(FileType.Directory);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\tif (hasMarkAsOffline()) {\\n\\t\\t\\t\\t\\tif (getOfflineFileSize() == 0 || info.getSize() >= getOfflineFileSize())\\n\\t\\t\\t\\t\\t\\tattr += FileAttribute.NTOffline;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tinfo.setFileAttributes(attr);\\n\\t\\t\\t\\tinfo.setUid(userId);\\n\\n\\t\\t\\t\\tif (m_filter == null || m_filter.matchesPattern(info.getFileName()) == true)\\n\\t\\t\\t\\t\\treturn true;\\n\\t\\t\\t}\\n\\t\\t} catch (SQLException ex) {\\n\\t\\t\\tex.printStackTrace();\\n\\t\\t}\\n\\t\\t// No more files\\n\\t\\tcloseSearch();\\n\\t\\treturn false;\\n\\t}\",\n \"@Override\\n public boolean equals(Object obj) {\\n return super.equals(obj);\\n }\",\n \"@Test\\n\\tpublic void sameModificationDate() throws IOException {\\n\\t\\tFile firstFile = File.createTempFile(\\\"junit\\\", null);\\n\\t\\tFile secondFile = File.createTempFile(\\\"junit\\\", null);\\n\\t\\tsecondFile.setLastModified(firstFile.lastModified());\\n\\n\\t\\tFileTuple firstTuple = new FileTuple(firstFile, firstFile);\\n\\t\\tFileTuple secondTuple = new FileTuple(secondFile, secondFile);\\n\\n\\t\\tassertThat(COMPARATOR.compare(firstTuple, secondTuple)).isZero();\\n\\t}\",\n \"@Override\\n public boolean equals(Object obj) {\\n return this == obj;\\n }\",\n \"@Override\\n public boolean equals(Object obj) {\\n return this == obj;\\n }\",\n \"entities.Torrent.FileInfo getFileInfo();\",\n \"entities.Torrent.FileInfo getFileInfo();\",\n \"public void testEquals()\\r\\n\\t{\\r\\n\\t\\tIrClassType irClassType1 = new IrClassType();\\r\\n\\t\\tirClassType1.setName(\\\"irClassTypeName\\\");\\r\\n\\t\\tirClassType1.setDescription(\\\"irClassTypeDescription\\\");\\r\\n\\t\\tirClassType1.setId(55l);\\r\\n\\t\\tirClassType1.setVersion(33);\\r\\n\\t\\t\\r\\n\\t\\tIrClassType irClassType2 = new IrClassType();\\r\\n\\t\\tirClassType2.setName(\\\"irClassTypeName2\\\");\\r\\n\\t\\tirClassType2.setDescription(\\\"irClassTypeDescription2\\\");\\r\\n\\t\\tirClassType2.setId(55l);\\r\\n\\t\\tirClassType2.setVersion(33);\\r\\n\\r\\n\\t\\t\\r\\n\\t\\tIrClassType irClassType3 = new IrClassType();\\r\\n\\t\\tirClassType3.setName(\\\"irClassTypeName\\\");\\r\\n\\t\\tirClassType3.setDescription(\\\"irClassTypeDescription\\\");\\r\\n\\t\\tirClassType3.setId(55l);\\r\\n\\t\\tirClassType3.setVersion(33);\\r\\n\\t\\t\\r\\n\\t\\tassert irClassType1.equals(irClassType3) : \\\"Classes should be equal\\\";\\r\\n\\t\\tassert !irClassType1.equals(irClassType2) : \\\"Classes should not be equal\\\";\\r\\n\\t\\t\\r\\n\\t\\tassert irClassType1.hashCode() == irClassType3.hashCode() : \\\"Hash codes should be the same\\\";\\r\\n\\t\\tassert irClassType2.hashCode() != irClassType3.hashCode() : \\\"Hash codes should not be the same\\\";\\r\\n\\t}\",\n \"@Override\\n\\tpublic boolean equals(Object o) {\\n\\t\\treturn (o instanceof AnchovyFish);\\n\\t}\",\n \"@Override\\n public boolean equals(Object object) {\\n if (!(object instanceof Format)) {\\n return false;\\n }\\n Format other = (Format) object;\\n if ((this.type == null && other.type != null) || (this.type != null && !this.type.equals(other.type))) {\\n return false;\\n }\\n return true;\\n }\",\n \"@Override\\n public boolean equals(Object other) {\\n return super.equals(other);\\n }\",\n \"@Test\\n public void equals_returnsTrueIfNameIsTheSame_false() {\\n Animal firstAnimal = new Animal(\\\"Deer\\\");\\n Animal anotherAnimal = new Animal(\\\"Deer\\\");\\n assertTrue(firstAnimal.equals(anotherAnimal));\\n }\",\n \"@Override\\n public boolean equals(Object object) {\\n if (!(object instanceof UserInfo)) {\\n return false;\\n }\\n UserInfo other = (UserInfo) object;\\n if ((this.id == null && other.id != null) || (this.id != null && !this.id.equals(other.id))) {\\n return false;\\n }\\n return true;\\n }\",\n \"@Override\\n public boolean equals(Object object) {\\n if (!(object instanceof UserInfo)) {\\n return false;\\n }\\n UserInfo other = (UserInfo) object;\\n if ((this.id == null && other.id != null) || (this.id != null && !this.id.equals(other.id))) {\\n return false;\\n }\\n return true;\\n }\",\n \"@Override\\n public boolean equals(Object object) {\\n if (!(object instanceof UserInfo)) {\\n return false;\\n }\\n UserInfo other = (UserInfo) object;\\n if ((this.id == null && other.id != null) || (this.id != null && !this.id.equals(other.id))) {\\n return false;\\n }\\n return true;\\n }\",\n \"@Override\\r\\n public boolean equals(Object object) {\\n if (!(object instanceof Infoentity)) {\\r\\n return false;\\r\\n }\\r\\n Infoentity other = (Infoentity) object;\\r\\n if ((this.id == null && other.id != null) || (this.id != null && !this.id.equals(other.id))) {\\r\\n return false;\\r\\n }\\r\\n return true;\\r\\n }\",\n \"@Override\\r\\n\\tpublic boolean equals(Object ob){\\n\\t\\tItem itemob=(Item)ob;\\t//transfer object type to Item type\\r\\n\\t\\tif(this.UID==itemob.UID && this.TITLE==itemob.TITLE && this.NOOFCOPIES==itemob.NOOFCOPIES) {\\r\\n\\t\\t\\treturn true;\\r\\n\\t\\t}\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"@Override\\n public final boolean equals( Object obj ) {\\n return super.equals(obj);\\n }\",\n \"@Override\\n public boolean equals(Object object) {\\n if (!(object instanceof Galeria)) {\\n return false;\\n }\\n Galeria other = (Galeria) object;\\n if ((this.idFoto == null && other.idFoto != null) || (this.idFoto != null && !this.idFoto.equals(other.idFoto))) {\\n return false;\\n }\\n return true;\\n }\",\n \"public boolean metadataEquals(INodeDirectory other) {\\r\\n return other != null && getNsQuota() == other.getNsQuota()\\r\\n && getDsQuota() == other.getDsQuota()\\r\\n && getUserName().equals(other.getUserName())\\r\\n && getGroupName().equals(other.getGroupName())\\r\\n && getFsPermission().equals(other.getFsPermission());\\r\\n }\",\n \"public boolean isEqual(Object objectname1, Object objectname2, Class<?> voClass) {\\n\\t\\treturn false;\\n\\t}\",\n \"@Override\\n public final boolean equals(final Object other) {\\n return super.equals(other);\\n }\",\n \"public final FileInfoBase getFileInfo() {\\r\\n return fileInfo;\\r\\n }\",\n \"@Override\\n\\t\\tpublic boolean equals(Object obj) {\\n\\t\\t\\treturn super.equals(obj);\\n\\t\\t}\",\n \"@Override\\n public boolean equals (Object object)\\n {\\n if (!(object instanceof POFileDiscountPK)) {\\n return false;\\n }\\n \\n POFileDiscountPK other = (POFileDiscountPK) object;\\n if (this.v_poFile.equals(other.v_poFile))\\n return false;\\n if (this.v_name.equals(other.v_name))\\n return false;\\n \\n return true;\\n }\",\n \"@Override\\n public boolean equals(Object obj) {\\n return super.equals(obj);\\n }\",\n \"@Override\\n public boolean equals(Object o) {\\n return this == o;\\n }\",\n \"@Override\\n public boolean equals(Object o) {\\n if (this == o) {\\n return true;\\n }\\n if (o == null || getClass() != o.getClass()) {\\n return false;\\n }\\n Entry entry = (Entry) o;\\n return field == entry.field;\\n }\",\n \"@Override\\r\\n public boolean equals(Object object) {\\n if (!(object instanceof Importador)) {\\r\\n return false;\\r\\n }\\r\\n Importador other = (Importador) object;\\r\\n if ((this.codigo == null && other.codigo != null) || (this.codigo != null && !this.codigo.equals(other.codigo))) {\\r\\n return false;\\r\\n }\\r\\n return true;\\r\\n }\",\n \"@Override\\r\\n\\tpublic boolean equals(Object obj) {\\n\\t\\treturn super.equals(obj);\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic boolean equals(Object obj) {\\n\\t\\treturn super.equals(obj);\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic boolean equals(Object obj) {\\n\\t\\treturn super.equals(obj);\\r\\n\\t}\",\n \"@Override\\r\\n public boolean equals(Object obj) {\\r\\n return super.equals(obj);\\r\\n }\",\n \"@Override\\n public boolean equals(Object obj) {\\n if (obj instanceof UsageInfo) {\\n UsageInfo info = (UsageInfo)obj;\\n return info.getPhysicalMachine().getID() == pm.getID();\\n }\\n return false;\\n }\",\n \"@Test\\n public void checkIfNewFilenameAlreadyExists(){\\n Music randomMusicCD1 = new Music(\\\"Random CD 1\\\", \\\"11/12/1993\\\",\\\"Rock\\\",\\\"Jack\\\",12,100);\\n DiscFile<Music> randomMusicFile1 = new DiscFile<Music>(randomMusicCD1, randomMusicCD1.getTitle(), randomMusicCD1.getFullDetails(), \\\"randomcCD1\\\");\\n\\n Music randomMusicCD2 = new Music(\\\"Random CD 2\\\", \\\"08/05/2004\\\",\\\"Pop\\\",\\\"Ben\\\",8,70);\\n DiscFile<Music> randomMusicFile2 = new DiscFile<Music>(randomMusicCD2, randomMusicCD1.getTitle(), randomMusicCD2.getFullDetails(), \\\"randomCD2\\\");\\n\\n boolean actual = rename.renameFile(\\\"tomsmith\\\",\\\"badboymusic\\\");\\n assertTrue(actual);\\n }\",\n \"@Override\\n\\tpublic boolean equals(Object obj) {\\n\\t\\treturn super.equals(obj);\\n\\t}\",\n \"@Override\\n\\tpublic boolean equals(Object obj) {\\n\\t\\treturn super.equals(obj);\\n\\t}\",\n \"@Override\\n\\tpublic boolean equals(Object obj) {\\n\\t\\treturn super.equals(obj);\\n\\t}\",\n \"@Override\\n\\tpublic boolean equals(Object obj) {\\n\\t\\treturn super.equals(obj);\\n\\t}\",\n \"@Override\\n\\tpublic boolean equals(Object obj) {\\n\\t\\treturn super.equals(obj);\\n\\t}\",\n \"@Override\\n\\tpublic boolean equals(Object obj) {\\n\\t\\treturn super.equals(obj);\\n\\t}\",\n \"protected boolean equals(URL paramURL1, URL paramURL2) {\\n/* 336 */ String str1 = paramURL1.getRef();\\n/* 337 */ String str2 = paramURL2.getRef();\\n/* 338 */ return ((str1 == str2 || (str1 != null && str1.equals(str2))) && \\n/* 339 */ sameFile(paramURL1, paramURL2));\\n/* */ }\",\n \"@Override\\n public boolean equals(Object obj) {\\n \\n //TODO: Complete Method\\n \\n return true;\\n }\",\n \"@Override\\n\\tpublic boolean equals(Object object) {\\n\\t\\tboolean isEqual = false;\\n\\n\\t\\tif (object != null && object instanceof CharacterSheet) {\\n\\t\\t\\tisEqual = (this.fileAbsolutePath\\n\\t\\t\\t\\t\\t.equals(((CharacterSheet) object).fileAbsolutePath));\\n\\t\\t}\\n\\n\\t\\treturn isEqual;\\n\\t}\",\n \"public final boolean equals(java.lang.Object r2) {\\n /*\\n r1 = this;\\n if (r1 == r2) goto L_0x0015\\n boolean r0 = r2 instanceof com.p280ss.android.ugc.aweme.shortvideo.subtitle.SubtitleOriginalSoundUploadTask\\n if (r0 == 0) goto L_0x0013\\n com.ss.android.ugc.aweme.shortvideo.subtitle.SubtitleOriginalSoundUploadTask r2 = (com.p280ss.android.ugc.aweme.shortvideo.subtitle.SubtitleOriginalSoundUploadTask) r2\\n java.lang.String r0 = r1.f106943b\\n java.lang.String r2 = r2.f106943b\\n boolean r2 = kotlin.jvm.internal.C7573i.m23585a(r0, r2)\\n if (r2 == 0) goto L_0x0013\\n goto L_0x0015\\n L_0x0013:\\n r2 = 0\\n return r2\\n L_0x0015:\\n r2 = 1\\n return r2\\n */\\n throw new UnsupportedOperationException(\\\"Method not decompiled: com.p280ss.android.ugc.aweme.shortvideo.subtitle.SubtitleOriginalSoundUploadTask.equals(java.lang.Object):boolean\\\");\\n }\",\n \"@Override\\n\\tpublic boolean equals(Object other) { \\n\\t\\tif (other instanceof Fish) {\\n\\t\\t\\tFish otherFish =((Fish) other);\\n\\t\\t\\treturn this.xloc == otherFish.getXLoc() && this.yloc == otherFish.getYLoc()\\n\\t\\t\\t\\t\\t\\t\\t\\t&& this.isCaught == otherFish.isCaught && this.direction\\n\\t\\t\\t\\t\\t\\t\\t\\t== otherFish.direction && this.species == otherFish.species;\\n\\t\\t}\\n\\t\\treturn false;\\n\\t}\",\n \"@Override\\n\\tpublic boolean equals(Object obj) {\\n\\t\\tif (this == obj)\\n\\t\\t\\treturn true;\\n\\t\\tif (obj == null)\\n\\t\\t\\treturn false;\\n\\t\\tif (getClass() != obj.getClass())\\n\\t\\t\\treturn false;\\n\\t\\treturn true;\\n\\t}\",\n \"@Override\\n public final boolean equals(Object obj) {\\n return super.equals(obj);\\n }\",\n \"@Override\\n boolean equals(Object obj);\",\n \"@Override\\n public boolean equals(Object o) {\\n return true;\\n }\",\n \"@Override\\n public boolean equals(Object obj) {\\n if (!(obj instanceof Entry<?>)) {\\n return false;\\n }\\n\\n var entry = (Entry<?>) obj;\\n\\n if (!this.registry.equals(entry.registry)) {\\n return false;\\n }\\n\\n if (this.index != entry.index) {\\n return false;\\n }\\n\\n if (this.value.getClass() != entry.value.getClass()) {\\n return false;\\n }\\n\\n return true;\\n }\",\n \"public boolean equals(Object object) {\\n/* 4770 */ if (this == object)\\n/* */ {\\n/* 4772 */ return true;\\n/* */ }\\n/* 4774 */ if (object != null && object.getClass() == getClass()) {\\n/* */ \\n/* 4776 */ VolaTile tile = (VolaTile)object;\\n/* 4777 */ return (tile.getTileX() == this.tilex && tile.getTileY() == this.tiley && tile.surfaced == this.surfaced);\\n/* */ } \\n/* 4779 */ return false;\\n/* */ }\",\n \"@Override \\n boolean equals(Object obj);\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.69109976","0.6510577","0.65092385","0.64236385","0.64007205","0.6387662","0.6372172","0.63183445","0.63061583","0.62708926","0.6197224","0.6149327","0.6149327","0.6120842","0.6029153","0.5979831","0.5968758","0.59636045","0.5945752","0.5915593","0.5909279","0.59084755","0.5892531","0.5873915","0.5866546","0.5848441","0.583483","0.5826602","0.5798814","0.5756516","0.57554203","0.5735511","0.57340825","0.5720924","0.5697954","0.5695027","0.5689201","0.568539","0.5682158","0.5680496","0.5677487","0.56751776","0.5663735","0.56583446","0.56442237","0.5626264","0.56155676","0.55898076","0.5552673","0.55498683","0.55422133","0.5541053","0.5540839","0.5540839","0.5534397","0.5525579","0.55251384","0.5524731","0.5514224","0.5513878","0.5513878","0.5513878","0.5511217","0.5508554","0.55045605","0.5500203","0.54982054","0.5487719","0.54848474","0.5483714","0.54798007","0.5472488","0.5469223","0.54676914","0.54602045","0.5455265","0.54551536","0.54551536","0.54551536","0.5454507","0.54519343","0.54498243","0.54412663","0.54412663","0.54412663","0.54412663","0.54412663","0.54412663","0.543429","0.54318756","0.5429999","0.5429057","0.5426343","0.5424389","0.5422589","0.5421498","0.5416963","0.5414206","0.54114723","0.54100657"],"string":"[\n \"0.69109976\",\n \"0.6510577\",\n \"0.65092385\",\n \"0.64236385\",\n \"0.64007205\",\n \"0.6387662\",\n \"0.6372172\",\n \"0.63183445\",\n \"0.63061583\",\n \"0.62708926\",\n \"0.6197224\",\n \"0.6149327\",\n \"0.6149327\",\n \"0.6120842\",\n \"0.6029153\",\n \"0.5979831\",\n \"0.5968758\",\n \"0.59636045\",\n \"0.5945752\",\n \"0.5915593\",\n \"0.5909279\",\n \"0.59084755\",\n \"0.5892531\",\n \"0.5873915\",\n \"0.5866546\",\n \"0.5848441\",\n \"0.583483\",\n \"0.5826602\",\n \"0.5798814\",\n \"0.5756516\",\n \"0.57554203\",\n \"0.5735511\",\n \"0.57340825\",\n \"0.5720924\",\n \"0.5697954\",\n \"0.5695027\",\n \"0.5689201\",\n \"0.568539\",\n \"0.5682158\",\n \"0.5680496\",\n \"0.5677487\",\n \"0.56751776\",\n \"0.5663735\",\n \"0.56583446\",\n \"0.56442237\",\n \"0.5626264\",\n \"0.56155676\",\n \"0.55898076\",\n \"0.5552673\",\n \"0.55498683\",\n \"0.55422133\",\n \"0.5541053\",\n \"0.5540839\",\n \"0.5540839\",\n \"0.5534397\",\n \"0.5525579\",\n \"0.55251384\",\n \"0.5524731\",\n \"0.5514224\",\n \"0.5513878\",\n \"0.5513878\",\n \"0.5513878\",\n \"0.5511217\",\n \"0.5508554\",\n \"0.55045605\",\n \"0.5500203\",\n \"0.54982054\",\n \"0.5487719\",\n \"0.54848474\",\n \"0.5483714\",\n \"0.54798007\",\n \"0.5472488\",\n \"0.5469223\",\n \"0.54676914\",\n \"0.54602045\",\n \"0.5455265\",\n \"0.54551536\",\n \"0.54551536\",\n \"0.54551536\",\n \"0.5454507\",\n \"0.54519343\",\n \"0.54498243\",\n \"0.54412663\",\n \"0.54412663\",\n \"0.54412663\",\n \"0.54412663\",\n \"0.54412663\",\n \"0.54412663\",\n \"0.543429\",\n \"0.54318756\",\n \"0.5429999\",\n \"0.5429057\",\n \"0.5426343\",\n \"0.5424389\",\n \"0.5422589\",\n \"0.5421498\",\n \"0.5416963\",\n \"0.5414206\",\n \"0.54114723\",\n \"0.54100657\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6802895"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":32298,"cells":{"query":{"kind":"string","value":"tested in previous method"},"document":{"kind":"string","value":"@Test\n\tpublic void testSetIgnoreFlush() {\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["@Override\n public void perish() {\n \n }","@Override\r\n\t\t\tpublic void func02() {\n\t\t\t\t\r\n\t\t\t}","@Override\n\tpublic void sacrifier() {\n\t\t\n\t}","@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}","@Override\n\tprotected void logic() {\n\n\t}","public final void mo51373a() {\n }","@Override\n\tpublic void grabar() {\n\t\t\n\t}","@Override\r\n\tpublic void tires() {\n\t\t\r\n\t}","public void smell() {\n\t\t\n\t}","protected boolean func_70814_o() { return true; }","@Override\r\n\t\t\tpublic void test() {\n\t\t\t}","@Override\n public void func_104112_b() {\n \n }","@Override\n\tprotected void interr() {\n\t}","@Override\n\tpublic void comer() {\n\t\t\n\t}","@Override\r\n\tprotected void func03() {\n\t\t\r\n\t}","@Override\n\tpublic void anular() {\n\n\t}","@Override\r\n\tpublic void anularFact() {\n\t\t\r\n\t}","private stendhal() {\n\t}","@Override\r\n\tpublic void rozmnozovat() {\n\t}","@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}","@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}","@Override\r\n\tpublic void dormir() {\n\t\t\r\n\t}","private void kk12() {\n\n\t}","public void mo38117a() {\n }","public void method_4270() {}","public void mo4359a() {\n }","private void getStatus() {\n\t\t\n\t}","@Override\r\n\tpublic void stehReagieren() {\r\n\t\t//\r\n\t}","private void poetries() {\n\n\t}","@Override\n public void function()\n {\n }","@Override\n public void function()\n {\n }","public void gored() {\n\t\t\n\t}","@Override\r\n \tpublic void process() {\n \t\t\r\n \t}","@Override\n\t\tpublic void method() {\n\t\t\t\n\t\t}","@Override\r\n\t\t\tpublic void ayuda() {\n\r\n\t\t\t}","@Override\n\tprotected void getExras() {\n\n\t}","private void test() {\n\n\t}","@Override\n\tpublic void entrenar() {\n\t\t\n\t}","@Override\n protected void getExras() {\n }","protected void mo6255a() {\n }","@Override\n\tpublic void nadar() {\n\t\t\n\t}","private void m50366E() {\n }","@Override\r\n\tprotected void doF4() {\n\t\t\r\n\t}","protected abstract Set method_1559();","@Override\r\n\tvoid func04() {\n\t\t\r\n\t}","@Override\n\tprotected void update() {\n\t\t\n\t}","private void strin() {\n\n\t}","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","public void mo55254a() {\n }","@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}","private void verificaData() {\n\t\t\n\t}","@Override\r\n\tprotected void prepare()\r\n\t{\r\n\r\n\t}","private static void cajas() {\n\t\t\n\t}","@Override\r\n\tprotected void doF8() {\n\t\t\r\n\t}","@Override\r\n\t\tprotected void run() {\n\t\t\t\r\n\t\t}","@Override\n\tpublic void gravarBd() {\n\t\t\n\t}","@Override\r\n\tprotected void initSelfData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initSelfData() {\n\t\t\r\n\t}","public void mo12628c() {\n }","public abstract void mo70713b();","public boolean method_218() {\r\n return false;\r\n }","@Override\n\tpublic void ligar() {\n\t\t\n\t}","@Override\r\n\tpublic void func02() {\n\t\t\r\n\t}","@Override\r\n\tpublic void func02() {\n\t\t\r\n\t}","protected boolean func_70041_e_() { return false; }","public void mo55254a() {\n }","@Override\n\tpublic void emprestimo() {\n\n\t}","protected void additionalProcessing() {\n\t}","@Override\n protected void prot() {\n }","@Override\n\tprotected void postRun() {\n\n\t}","private void remplirFabricantData() {\n\t}","public void mo6081a() {\n }","@Override\n public void memoria() {\n \n }","@Override\n\tprotected void prepare() {\n\t\t\n\t}","protected OpinionFinding() {/* intentionally empty block */}","@Override\n\tpublic void einkaufen() {\n\t}","@Override\n protected void init() {\n }","protected void runBeforeIteration() {}","public void mo21793R() {\n }","@Override\n public int retroceder() {\n return 0;\n }","@Override\n\tprotected void initData() {\n\t\t\n\t}","private static void iterator() {\n\t\t\r\n\t}","@Override\n\tprotected void getData() {\n\t\t\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","@Override\r\n\tprotected void doF6() {\n\t\t\r\n\t}","private test5() {\r\n\t\r\n\t}","public boolean method_216() {\r\n return false;\r\n }","@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}","@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}","public void mo9848a() {\n }","@Override\r\n\t\t\tpublic void run() {\n\t\t\t\t\r\n\t\t\t}"],"string":"[\n \"@Override\\n public void perish() {\\n \\n }\",\n \"@Override\\r\\n\\t\\t\\tpublic void func02() {\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}\",\n \"@Override\\n\\tpublic void sacrifier() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void comer() \\r\\n\\t{\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tprotected void logic() {\\n\\n\\t}\",\n \"public final void mo51373a() {\\n }\",\n \"@Override\\n\\tpublic void grabar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void tires() {\\n\\t\\t\\r\\n\\t}\",\n \"public void smell() {\\n\\t\\t\\n\\t}\",\n \"protected boolean func_70814_o() { return true; }\",\n \"@Override\\r\\n\\t\\t\\tpublic void test() {\\n\\t\\t\\t}\",\n \"@Override\\n public void func_104112_b() {\\n \\n }\",\n \"@Override\\n\\tprotected void interr() {\\n\\t}\",\n \"@Override\\n\\tpublic void comer() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tprotected void func03() {\\n\\t\\t\\r\\n\\t}\",\n 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method() {\\n\\t\\t\\t\\n\\t\\t}\",\n \"@Override\\r\\n\\t\\t\\tpublic void ayuda() {\\n\\r\\n\\t\\t\\t}\",\n \"@Override\\n\\tprotected void getExras() {\\n\\n\\t}\",\n \"private void test() {\\n\\n\\t}\",\n \"@Override\\n\\tpublic void entrenar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\n protected void getExras() {\\n }\",\n \"protected void mo6255a() {\\n }\",\n \"@Override\\n\\tpublic void nadar() {\\n\\t\\t\\n\\t}\",\n \"private void m50366E() {\\n }\",\n \"@Override\\r\\n\\tprotected void doF4() {\\n\\t\\t\\r\\n\\t}\",\n \"protected abstract Set method_1559();\",\n \"@Override\\r\\n\\tvoid func04() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tprotected void update() {\\n\\t\\t\\n\\t}\",\n \"private void strin() {\\n\\n\\t}\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"public void mo55254a() {\\n }\",\n \"@Override\\r\\n\\t\\t\\tpublic void annadir() {\\n\\r\\n\\t\\t\\t}\",\n \"private void verificaData() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tprotected void prepare()\\r\\n\\t{\\r\\n\\r\\n\\t}\",\n \"private static void cajas() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tprotected void doF8() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\t\\tprotected void run() {\\n\\t\\t\\t\\r\\n\\t\\t}\",\n \"@Override\\n\\tpublic void gravarBd() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initSelfData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initSelfData() {\\n\\t\\t\\r\\n\\t}\",\n \"public void mo12628c() {\\n }\",\n \"public abstract void mo70713b();\",\n \"public boolean method_218() {\\r\\n return false;\\r\\n }\",\n \"@Override\\n\\tpublic void ligar() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tpublic void func02() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void func02() {\\n\\t\\t\\r\\n\\t}\",\n \"protected boolean func_70041_e_() { return false; }\",\n \"public void mo55254a() {\\n }\",\n \"@Override\\n\\tpublic void emprestimo() {\\n\\n\\t}\",\n \"protected void additionalProcessing() {\\n\\t}\",\n \"@Override\\n protected void prot() {\\n }\",\n \"@Override\\n\\tprotected void postRun() {\\n\\n\\t}\",\n \"private void remplirFabricantData() {\\n\\t}\",\n \"public void mo6081a() {\\n }\",\n \"@Override\\n public void memoria() {\\n \\n }\",\n \"@Override\\n\\tprotected void prepare() {\\n\\t\\t\\n\\t}\",\n \"protected OpinionFinding() {/* intentionally empty block */}\",\n \"@Override\\n\\tpublic void einkaufen() {\\n\\t}\",\n \"@Override\\n protected void init() {\\n }\",\n \"protected void runBeforeIteration() {}\",\n \"public void mo21793R() {\\n }\",\n \"@Override\\n public int retroceder() {\\n return 0;\\n }\",\n \"@Override\\n\\tprotected void initData() {\\n\\t\\t\\n\\t}\",\n \"private static void iterator() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\n\\tprotected void getData() {\\n\\t\\t\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tprotected void doF6() {\\n\\t\\t\\r\\n\\t}\",\n \"private test5() {\\r\\n\\t\\r\\n\\t}\",\n \"public boolean method_216() {\\r\\n return false;\\r\\n }\",\n \"@Override\\r\\n\\tpublic void dibujar() {\\n\\t\\t\\r\\n\\t}\",\n \"@Override\\r\\n\\tpublic void dibujar() {\\n\\t\\t\\r\\n\\t}\",\n \"public void mo9848a() {\\n }\",\n \"@Override\\r\\n\\t\\t\\tpublic void run() {\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.54610723\",\n \"0.5452442\",\n \"0.5451845\",\n \"0.5450752\",\n \"0.5450752\",\n \"0.5450199\",\n \"0.5438163\",\n \"0.54270595\",\n \"0.5417634\",\n \"0.54154956\",\n \"0.54154956\",\n \"0.5399413\",\n \"0.53981614\",\n \"0.53907096\",\n \"0.5389076\",\n \"0.5385581\",\n \"0.5382547\",\n \"0.5373994\",\n \"0.5371913\",\n \"0.53685236\",\n \"0.5368471\",\n \"0.5366164\",\n \"0.53652376\",\n \"0.53644115\",\n \"0.5353368\",\n \"0.5352731\",\n \"0.5352322\",\n \"0.53482485\",\n \"0.5337938\",\n \"0.53357756\",\n \"0.5335276\",\n \"0.5335276\",\n \"0.5335276\",\n \"0.5335276\",\n \"0.5335276\",\n \"0.5335276\",\n \"0.53302014\",\n \"0.53260994\",\n \"0.5323133\",\n \"0.5316318\",\n \"0.5316318\",\n \"0.5307755\",\n \"0.53055924\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":32299,"cells":{"query":{"kind":"string","value":"note nothing to test. exercise to do a compile time check of existence"},"document":{"kind":"string","value":"@Test\n\tpublic void testStartTiming() {\n\t\tip = new ImagePlus();\n\t\tip.startTiming();\n\t}"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["boolean _non_existent();","public abstract boolean doesExist();","boolean hasDef();","boolean hasExists();","public abstract boolean exists();","@Override\n\tpublic boolean exists(String arg0) {\n\t\treturn false;\n\t}","private boolean programIfExists(String compiledPath) {\n\t\tboolean itExists = false;\n\n\t\tif (Files.exists(Paths.get(compiledPath))) {\n\t\t\titExists = true;\n\t\t}\n\n\t\treturn itExists;\n\t}","boolean hasUknown();","boolean getIfNotExist();","boolean getIfNotExist();","@Test\n public void testIsCreatingProjectIfMissing() throws Exception {\n assertThat(\"Expect true\", testling.isCreatingProjectIfMissing(), is(Boolean.TRUE));\n }","@Override\r\n\tpublic boolean isExist() {\n\t\treturn false;\r\n\t}","boolean exists();","boolean exists();","boolean hasBuild();","public boolean exists(String arg0) {\n\t\treturn false;\n\t}","public boolean exists(String arg0) {\n\t\treturn false;\n\t}","public boolean exists(String arg0) {\n\t\treturn false;\n\t}","Object getTargetexists();","@Override\n\tpublic boolean isExist(String name) {\n\t\treturn false;\n\t}","@Override\n\tpublic void exist() {\n\t\t\n\t}","boolean hasConstruct();","public boolean mustCompile() {\n return true;\n }","private static void checkIfFound(final Object toCheck, final String path) {\n if (toCheck == null) {\n resourceNotFound(path);\n }\n if (toCheck instanceof String s && s.isEmpty()) {\n resourceNotFound(path);\n }\n if (toCheck instanceof File f && !f.exists()) {\n resourceNotFound(path);\n }\n }","abstract public boolean exists() throws VlException;","public boolean exists (java.lang.String userClassName) { throw new RuntimeException(); }","abstract void checkWhetherVariable(SyntaxUnit use);","boolean hasSrcPath();","@Override\r\n\tpublic boolean exists() {\n\t\treturn false;\r\n\t}","boolean hasSourceFile();","private static boolean validateFileExists(Map.Entry<String, CheckState> entry) {\n String prop = System.getProperty(entry.getKey());\n if (entry.getValue().isOptional && prop == null) {\n return true;\n }\n\n if (prop == null || \"\".equals(prop)) {\n return false;\n }\n\n return Files.exists(new File(prop).toPath());\n }","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasX();","boolean hasResolve();","@Override\n\tpublic boolean exists() {\n\t\treturn false;\n\t}","boolean hasUnknown1();","boolean hasUnknown1();","boolean hasUnknown1();","boolean hasUnknown1();","boolean hasUnknown1();","boolean hasUnknown1();","private boolean shouldBuild(IResource resource) {\n \t\treturn resource.getType() == IResource.FILE && resource.getFileExtension().equals(\"gf\");\n \t}","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","boolean hasName();","public abstract boolean exists() throws VlException;","boolean hasProject();","boolean hasCode();","boolean hasCode();","boolean hasCode();","@Override\n public boolean isExist(Object o) {\n return true;\n }","@Test\n public void testEnsureStringExists(){\n String exists = \"Hello World\";\n String emptyString = \"\";\n\n assertTrue(StringUtil.ensureStringExists(exists));\n assertFalse(StringUtil.ensureStringExists(null));\n assertFalse(StringUtil.ensureStringExists(emptyString));\n }","boolean hasUnknown2();","boolean hasUnknown2();","boolean hasUnknown2();","boolean hasA();","private static boolean classExists(String className) {\n\t\tClass<?> theLogicClass = null;\n\t\ttry {\n\t\t\ttheLogicClass = ClassLoaderManager.getInstance().getLogicClassFromName(className);\n\t\t}\n\t\tcatch (Exception ex) {\n\t\t\t// Do nothing\n\t\t\tif (log.isDebugEnabled()) {\n\t\t\t\tlog.debug(\"SystemBusinessLogicFinder.classExists : candidate logic class \" + \n\t\t\t\t\t\tclassName + \" was not found - ignoring\");\n\t\t\t\tif (ex.getCause() == null || ! (ex.getCause() instanceof ClassNotFoundException)) {\n\t\t\t\t\tlog.debug(\"Error while loading logic class \" + className, ex);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn theLogicClass != null;\n\t}","boolean hasPossiblyBad();","private boolean checkIfGccExists() {\n\t\tboolean itExists = false;\n\n\t\tLocalConfiguration local = LocalConfiguration.getInstance();\n\n\t\tString gcc = \"\";\n\t\t\n\t\tSystem.out.println(local.getGccPath());\n\t\t\n\t\tif (!Files.exists(Paths.get(local.getGccPath()))) {\n\t\t\t//C:\\\\Program Files (x86)\\\\Dev-Cpp\\\\MinGW64\\\\bin\\\\gcc.exe\n\t\t\t//C:\\Program Files (x86)\\Dev-Cpp\\MinGW64\\bin\\gcc.exe\n\t\t\tgcc = JOptionPane.showInputDialog(\"Input the GCC (GNU Compiler Collection) location.\");\n\t\t\tif (Files.exists(Paths.get(gcc))) {\n\t\t\t\titExists = true;\n\n\t\t\t\tPath path = Paths.get(gcc);\n\t\t\t\tlocal.setGccPath(path.toAbsolutePath().toString());\t\n\t\t\t}\n\t\t}\n\t\t\n\t\tif (Files.exists(Paths.get(gcc))) {\n\t\t\titExists = true;\n\t\t}\n\n\t\telse {\n\t\t\tJOptionPane.showMessageDialog(null, \"QUEST cannot find the gcc.exe specified. Please use the settings to fix the path.\", \"Error\", JOptionPane.ERROR_MESSAGE);\n\t\t}\n\n\t\treturn itExists;\n\t}","boolean getExists();","boolean hasC();","public boolean _non_existent() {\n return false;\n }","boolean hasImported();","boolean hasCodeName();","boolean hasMagic();"],"string":"[\n \"boolean _non_existent();\",\n \"public abstract boolean doesExist();\",\n \"boolean hasDef();\",\n \"boolean hasExists();\",\n \"public abstract boolean exists();\",\n \"@Override\\n\\tpublic boolean exists(String arg0) {\\n\\t\\treturn false;\\n\\t}\",\n \"private boolean programIfExists(String compiledPath) {\\n\\t\\tboolean itExists = false;\\n\\n\\t\\tif (Files.exists(Paths.get(compiledPath))) {\\n\\t\\t\\titExists = true;\\n\\t\\t}\\n\\n\\t\\treturn itExists;\\n\\t}\",\n \"boolean hasUknown();\",\n \"boolean getIfNotExist();\",\n \"boolean getIfNotExist();\",\n \"@Test\\n public void testIsCreatingProjectIfMissing() throws Exception {\\n assertThat(\\\"Expect true\\\", testling.isCreatingProjectIfMissing(), is(Boolean.TRUE));\\n }\",\n \"@Override\\r\\n\\tpublic boolean isExist() {\\n\\t\\treturn false;\\r\\n\\t}\",\n \"boolean exists();\",\n \"boolean exists();\",\n \"boolean hasBuild();\",\n \"public boolean exists(String arg0) {\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean exists(String arg0) {\\n\\t\\treturn false;\\n\\t}\",\n \"public boolean exists(String arg0) {\\n\\t\\treturn false;\\n\\t}\",\n \"Object getTargetexists();\",\n \"@Override\\n\\tpublic boolean isExist(String name) {\\n\\t\\treturn false;\\n\\t}\",\n \"@Override\\n\\tpublic void exist() {\\n\\t\\t\\n\\t}\",\n \"boolean hasConstruct();\",\n \"public boolean mustCompile() {\\n return true;\\n }\",\n \"private static void checkIfFound(final Object toCheck, final String path) {\\n if (toCheck == null) {\\n resourceNotFound(path);\\n }\\n if (toCheck instanceof String s && s.isEmpty()) {\\n resourceNotFound(path);\\n }\\n if (toCheck instanceof File f && !f.exists()) {\\n resourceNotFound(path);\\n }\\n }\",\n \"abstract public boolean exists() throws VlException;\",\n \"public boolean exists (java.lang.String userClassName) { throw new RuntimeException(); }\",\n \"abstract void checkWhetherVariable(SyntaxUnit use);\",\n \"boolean hasSrcPath();\",\n \"@Override\\r\\n\\tpublic boolean exists() {\\n\\t\\treturn false;\\r\\n\\t}\",\n \"boolean hasSourceFile();\",\n \"private static boolean validateFileExists(Map.Entry<String, CheckState> entry) {\\n String prop = System.getProperty(entry.getKey());\\n if (entry.getValue().isOptional && prop == null) {\\n return true;\\n }\\n\\n if (prop == null || \\\"\\\".equals(prop)) {\\n return false;\\n }\\n\\n return Files.exists(new File(prop).toPath());\\n }\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasX();\",\n \"boolean hasResolve();\",\n \"@Override\\n\\tpublic boolean exists() {\\n\\t\\treturn false;\\n\\t}\",\n \"boolean hasUnknown1();\",\n \"boolean hasUnknown1();\",\n \"boolean hasUnknown1();\",\n \"boolean hasUnknown1();\",\n \"boolean hasUnknown1();\",\n \"boolean hasUnknown1();\",\n \"private boolean shouldBuild(IResource resource) {\\n \\t\\treturn resource.getType() == IResource.FILE && resource.getFileExtension().equals(\\\"gf\\\");\\n \\t}\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"boolean hasName();\",\n \"public abstract boolean exists() throws VlException;\",\n \"boolean hasProject();\",\n \"boolean hasCode();\",\n \"boolean hasCode();\",\n \"boolean hasCode();\",\n \"@Override\\n public boolean isExist(Object o) {\\n return true;\\n }\",\n \"@Test\\n public void testEnsureStringExists(){\\n String exists = \\\"Hello World\\\";\\n String emptyString = \\\"\\\";\\n\\n assertTrue(StringUtil.ensureStringExists(exists));\\n assertFalse(StringUtil.ensureStringExists(null));\\n assertFalse(StringUtil.ensureStringExists(emptyString));\\n }\",\n \"boolean hasUnknown2();\",\n \"boolean hasUnknown2();\",\n \"boolean hasUnknown2();\",\n \"boolean hasA();\",\n \"private static boolean classExists(String className) {\\n\\t\\tClass<?> theLogicClass = null;\\n\\t\\ttry {\\n\\t\\t\\ttheLogicClass = ClassLoaderManager.getInstance().getLogicClassFromName(className);\\n\\t\\t}\\n\\t\\tcatch (Exception ex) {\\n\\t\\t\\t// Do nothing\\n\\t\\t\\tif (log.isDebugEnabled()) {\\n\\t\\t\\t\\tlog.debug(\\\"SystemBusinessLogicFinder.classExists : candidate logic class \\\" + \\n\\t\\t\\t\\t\\t\\tclassName + \\\" was not found - ignoring\\\");\\n\\t\\t\\t\\tif (ex.getCause() == null || ! (ex.getCause() instanceof ClassNotFoundException)) {\\n\\t\\t\\t\\t\\tlog.debug(\\\"Error while loading logic class \\\" + className, ex);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn theLogicClass != null;\\n\\t}\",\n \"boolean hasPossiblyBad();\",\n \"private boolean checkIfGccExists() {\\n\\t\\tboolean itExists = false;\\n\\n\\t\\tLocalConfiguration local = LocalConfiguration.getInstance();\\n\\n\\t\\tString gcc = \\\"\\\";\\n\\t\\t\\n\\t\\tSystem.out.println(local.getGccPath());\\n\\t\\t\\n\\t\\tif (!Files.exists(Paths.get(local.getGccPath()))) {\\n\\t\\t\\t//C:\\\\\\\\Program Files (x86)\\\\\\\\Dev-Cpp\\\\\\\\MinGW64\\\\\\\\bin\\\\\\\\gcc.exe\\n\\t\\t\\t//C:\\\\Program Files (x86)\\\\Dev-Cpp\\\\MinGW64\\\\bin\\\\gcc.exe\\n\\t\\t\\tgcc = JOptionPane.showInputDialog(\\\"Input the GCC (GNU Compiler Collection) location.\\\");\\n\\t\\t\\tif (Files.exists(Paths.get(gcc))) {\\n\\t\\t\\t\\titExists = true;\\n\\n\\t\\t\\t\\tPath path = Paths.get(gcc);\\n\\t\\t\\t\\tlocal.setGccPath(path.toAbsolutePath().toString());\\t\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\tif (Files.exists(Paths.get(gcc))) {\\n\\t\\t\\titExists = true;\\n\\t\\t}\\n\\n\\t\\telse {\\n\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"QUEST cannot find the gcc.exe specified. Please use the settings to fix the path.\\\", \\\"Error\\\", JOptionPane.ERROR_MESSAGE);\\n\\t\\t}\\n\\n\\t\\treturn itExists;\\n\\t}\",\n \"boolean getExists();\",\n \"boolean hasC();\",\n \"public boolean _non_existent() {\\n return false;\\n }\",\n \"boolean hasImported();\",\n \"boolean hasCodeName();\",\n \"boolean hasMagic();\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.66541034","0.6612048","0.6120418","0.61014825","0.6030778","0.60264075","0.59782296","0.5972085","0.5902455","0.5902455","0.5894256","0.5871129","0.5844421","0.5844421","0.5838298","0.58364636","0.58364636","0.58364636","0.582644","0.57834977","0.57696587","0.576744","0.5741926","0.5679299","0.56623447","0.5660239","0.5631821","0.56220007","0.5610942","0.561051","0.55833095","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.5578366","0.55758476","0.5571192","0.55679333","0.55679333","0.55679333","0.55679333","0.55679333","0.55679333","0.556403","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55589426","0.55513304","0.55437607","0.55396706","0.55396706","0.55396706","0.55329895","0.55312866","0.5529065","0.5529065","0.5529065","0.5509322","0.5507603","0.5495866","0.54953545","0.547138","0.54654115","0.5463587","0.54588556","0.5456837","0.54546434"],"string":"[\n \"0.66541034\",\n \"0.6612048\",\n \"0.6120418\",\n \"0.61014825\",\n \"0.6030778\",\n \"0.60264075\",\n \"0.59782296\",\n \"0.5972085\",\n \"0.5902455\",\n \"0.5902455\",\n \"0.5894256\",\n \"0.5871129\",\n \"0.5844421\",\n \"0.5844421\",\n \"0.5838298\",\n \"0.58364636\",\n \"0.58364636\",\n \"0.58364636\",\n \"0.582644\",\n \"0.57834977\",\n \"0.57696587\",\n \"0.576744\",\n \"0.5741926\",\n \"0.5679299\",\n \"0.56623447\",\n \"0.5660239\",\n \"0.5631821\",\n \"0.56220007\",\n \"0.5610942\",\n \"0.561051\",\n \"0.55833095\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.5578366\",\n \"0.55758476\",\n \"0.5571192\",\n \"0.55679333\",\n \"0.55679333\",\n \"0.55679333\",\n \"0.55679333\",\n \"0.55679333\",\n \"0.55679333\",\n \"0.556403\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55589426\",\n \"0.55513304\",\n \"0.55437607\",\n \"0.55396706\",\n \"0.55396706\",\n \"0.55396706\",\n \"0.55329895\",\n \"0.55312866\",\n \"0.5529065\",\n \"0.5529065\",\n \"0.5529065\",\n \"0.5509322\",\n \"0.5507603\",\n \"0.5495866\",\n \"0.54953545\",\n \"0.547138\",\n \"0.54654115\",\n \"0.5463587\",\n \"0.54588556\",\n \"0.5456837\",\n \"0.54546434\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":322,"numItemsPerPage":100,"numTotalItems":136513,"offset":32200,"length":100}},"jwt":"eyJhbGciOiJFZERTQSIsImtpZCI6IjVHZDBvd0g5MTM2eDZjc1FvbE1zcktNWUZoRVFoUm5PVVVybEpjOUhaUEEifQ.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sInJlcG9JZHMiOlsiNjc1Mzc3Mjk2YzBkMWNiNGEwNmY5MzlkIl0sImlhdCI6MTc5MDg3NzQ0OSwianRpIjoiMzI3Y2JlMjItNzIyNy00ZTJjLWE1OTEtNjQ4OTA2MTc4ZmUwIiwic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1qYXZhLXYxIiwiZXhwIjoxNzkwODgxMDQ5LCJpc3MiOiJodHRwczovL2h1Z2dpbmdmYWNlLmNvIn0.hn3R_5FEbQdLQ1Ss7C5-oapobJ4mbgw6zJbWpVpHtrV2RAUXhgc99ymvBTiLuwurQbXYFv-syh2oigjhIlWuDw","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":136513,"numBytesParquet":1558040430}]},"discussionsStats":{"closed":0,"open":1,"total":1},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
query stringlengths 7 33.1k | document stringlengths 7 335k | metadata dict | negatives listlengths 3 101 | negative_scores listlengths 3 101 | document_score stringlengths 3 10 | document_rank stringclasses 102
values |
|---|---|---|---|---|---|---|
TODO: Update argument type and name | public void onInsuranceFragmentInteraction(Uri uri, int selectedImageView, Bitmap croppedBitmapImage, String base64Path); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n public String getFirstArg() {\n return name;\r\n }",
"@Override\n public int getNumberArguments() {\n return 1;\n }",
"java.lang.String getArg();",
"@Override\n public int getArgLength() {\n return 4;\n }",
"Argument createArgument();",
"@Override\r\n\tpublic ... | [
"0.7164074",
"0.6946075",
"0.6714363",
"0.65115863",
"0.63969076",
"0.6375468",
"0.63481104",
"0.63162106",
"0.6260299",
"0.6208487",
"0.6208487",
"0.62070644",
"0.6197276",
"0.61806154",
"0.6177103",
"0.61530507",
"0.61472267",
"0.61243707",
"0.60771817",
"0.6054482",
"0.599... | 0.0 | -1 |
Describe the columns you'd like to have returned. Selecting from the Thumbnails location gives you both the Thumbnail Image ID, as well as the original image ID | public Uri getImageFromCamera() {
String[] projection = {
MediaStore.Images.Thumbnails._ID, // The columns we want
MediaStore.Images.Thumbnails.IMAGE_ID,
MediaStore.Images.Thumbnails.KIND,
MediaStore.Images.Thumbnails.DATA};
String selecti... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Image getColumnImage(Object arg0, int arg1) {\n\t\t\t\treturn null;\r\n\t\t\t\t\r\n\t\t\t}",
"public static String[] detailsColumnProjection() {\n\n\t\treturn new String[]{KEY_ID, KEY_ADDRESS, KEY_NAME, KEY_VOLUME};\n\t}",
"public Image getColumnImage(Object arg0, int arg1) {\n\t\t\treturn null;\r\n\t\t... | [
"0.6048984",
"0.6002166",
"0.5981683",
"0.5780414",
"0.5609057",
"0.5499247",
"0.54023355",
"0.53893214",
"0.53879267",
"0.5337824",
"0.5301075",
"0.5285746",
"0.5264482",
"0.5253475",
"0.52227694",
"0.52227694",
"0.52227694",
"0.5220152",
"0.52198637",
"0.52198637",
"0.52063... | 0.5459449 | 6 |
/ Splits a merged VCF into individual files with noise | static void splitVcf(String inputFile, String outDir) throws Exception
{
int n = countInputs(inputFile);
if(n == 0)
{
return;
}
// Make output directory for the split VCF files
Path currentRelativePath = Paths.get("");
outDir = currentRelativePath.toAbsolutePath().toString() + "/" + outDir;
File... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void makeSubcutaneousFatVOIfromIntensityProfiles() {\r\n \r\n int[] xLocsSubcutaneousVOI;\r\n int[] yLocsSubcutaneousVOI;\r\n int[] zVals;\r\n try {\r\n xLocsSubcutaneousVOI = new int [360 / angularResolution];\r\n yLocsSubcutaneousVOI = new int [360... | [
"0.55757934",
"0.5501059",
"0.5460714",
"0.54273987",
"0.5396955",
"0.5348446",
"0.5307879",
"0.52325016",
"0.51669323",
"0.51575124",
"0.51069134",
"0.5082644",
"0.5049809",
"0.5022725",
"0.49703425",
"0.4906847",
"0.49060032",
"0.48953727",
"0.48716265",
"0.48532808",
"0.48... | 0.69053996 | 0 |
/ Adjusts a string to incorporate errors and changes in its length | static String adjustStringLength(String s, int newLength)
{
char[] res = new char[newLength];
res[0] = s.charAt(0);
if(newLength == s.length())
{
// In this case no insertions or deletions are needed
for(int i = 1; i<res.length; i++)
{
res[i] = s.charAt(i);
}
}
else if(newLength < s.leng... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private static String makeCorrectSize(String s, int length){\n\t\tStringBuilder sb = new StringBuilder(s); \n\t\tfor(int i = sb.length(); i<length; i++){\n sb.append(\" \");\n }\n\t\treturn sb.toString(); \n\n\t}",
"@Test\n public void testAdjustString() {\n Syste... | [
"0.70637816",
"0.7045708",
"0.6254327",
"0.6241633",
"0.62220216",
"0.6212878",
"0.61340225",
"0.6071452",
"0.6008066",
"0.6000565",
"0.59916633",
"0.59761924",
"0.5936974",
"0.59234554",
"0.5901248",
"0.5886373",
"0.5843666",
"0.58312094",
"0.5817645",
"0.58051026",
"0.57794... | 0.6452237 | 2 |
/ Mutates a given base to a random other base with a fixed probability | static char mutateBaseWithProb(char base, double p)
{
if(rand.nextDouble() < p)
{
int baseAsInt = baseToInt(base);
char newBase = intToBase((baseAsInt + rand.nextInt(3) + 1)%4);
if(Character.isLowerCase(base))
{
newBase += 'a' - 'A';
}
return newBase;
}
else
{
return base;
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void setRand(){\n rand = generator.nextInt(9) + 1;\n }",
"private double genMultiplier() {\n return (random.nextInt(81) + 60)/100.0;\n }",
"private void mutate(float probability) {\r\n\r\n individual[] temp_pop = new individual[this.pop_size];\r\n\r\n for (int i = 0; i <... | [
"0.5991264",
"0.5880356",
"0.5833723",
"0.5724698",
"0.5721356",
"0.5650893",
"0.560793",
"0.5554363",
"0.55371135",
"0.55323243",
"0.5528489",
"0.5525791",
"0.5508436",
"0.5501425",
"0.5499583",
"0.5485345",
"0.54806244",
"0.5476071",
"0.547198",
"0.5454653",
"0.54276955",
... | 0.76701105 | 0 |
/ Converts integer in [0, 3] to the corresponding element of [A, C, G, T] | static char intToBase(int val)
{
if(val == 0)
{
return 'A';
}
if(val == 1)
{
return 'C';
}
if(val == 2)
{
return 'G';
}
return 'T';
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public List<Integer> singleNumberIII(int[] A) {\n List<Integer> result = new ArrayList<>();\n if (A == null || A.length == 0) {\n return result;\n }\n\n int oxr = 0;\n\n for (int a : A) {\n oxr ^= a;\n }\n\n //2. 查看OXR 1的位置\n int indexOf... | [
"0.5643091",
"0.55038077",
"0.5395798",
"0.5190243",
"0.5164543",
"0.5156837",
"0.5153239",
"0.5127192",
"0.5117741",
"0.51004356",
"0.50989026",
"0.5078068",
"0.5074811",
"0.5072243",
"0.506977",
"0.50574476",
"0.504451",
"0.5039742",
"0.50355417",
"0.50186723",
"0.49862832"... | 0.53411853 | 3 |
/ Converts basepair characters to an index (A = 0, C = 1, G = 2, T = 3) | static int baseToInt(char c)
{
if(c == 'a' || c == 'A')
{
return 0;
}
if(c == 'c' || c == 'C')
{
return 1;
}
if(c == 'g' || c == 'G')
{
return 2;
}
return 3;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int letter2index(char c) { \t\n \treturn (int)(c - 'A')%26 ;\n }",
"String getIndexBits();",
"private char getMappingCode(char c) {\n if (!Character.isLetter(c)) {\n return 0;\n } \n else {\n return soundexMapping[Character.toUpperCase(c)... | [
"0.66499263",
"0.63773",
"0.6307429",
"0.620913",
"0.6199498",
"0.61847806",
"0.6169923",
"0.61368096",
"0.6120434",
"0.6099664",
"0.6098816",
"0.6057878",
"0.59742576",
"0.5955479",
"0.5954874",
"0.5936698",
"0.5934349",
"0.59114885",
"0.58920705",
"0.58916366",
"0.58727956"... | 0.64226156 | 1 |
/ Gets a random subsequence of a given length of integers in the range [minVal, maxVal] | static int[] getRandomSubsequence(int minVal, int maxVal, int subseqLength)
{
ArrayList<Integer> vals = new ArrayList<Integer>();
for(int i = minVal; i<=maxVal; i++)
{
vals.add(i);
}
Collections.shuffle(vals);
int[] res = new int[subseqLength];
for(int i = 0; i<res.length; i++)
{
res[i] = vals... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static int[] getRandomIntervalSamplingLengthFirst(Random rand, int min, int max, int seriesLength) throws Exception {\n\t\tint[] interval = new int[3]; //[start_index,end_index,length]\n\t\t\n\t\tif (max > seriesLength || max <= 0) {//if max == 0, assume max possible length\n\t\t\tmax = seriesLength;\n\t\t}... | [
"0.6524938",
"0.6133722",
"0.6060131",
"0.59981275",
"0.59344244",
"0.5891631",
"0.588068",
"0.5872285",
"0.57640976",
"0.5726641",
"0.5711402",
"0.56781834",
"0.5673868",
"0.5670869",
"0.56539994",
"0.56469226",
"0.56449425",
"0.5633841",
"0.562376",
"0.5611668",
"0.56046045... | 0.8407534 | 0 |
/ Gets a uniform random number between 2average and 2average, inclusive | static int randomDelta(int average)
{
return rand.nextInt(4*average + 1) - 2*average;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static double uniform() {\r\n return random.nextDouble();\r\n }",
"public static double uniform() {\n return random.nextDouble();\n }",
"public static double random() {\r\n return uniform();\r\n }",
"private double getRandom() {\n return 2*Math.random() - 1;\n }... | [
"0.6992015",
"0.69555426",
"0.6952166",
"0.6914932",
"0.68452257",
"0.68041396",
"0.6784181",
"0.67606777",
"0.6719297",
"0.6629036",
"0.6597988",
"0.6589608",
"0.6552947",
"0.64801246",
"0.6456781",
"0.64458084",
"0.6424464",
"0.64132077",
"0.6411718",
"0.6390132",
"0.633621... | 0.6869718 | 4 |
/ Counts how many input files were used to produced a given merged VCF File based on length of SUPP_VEC field | static int countInputs(String mergedVcf) throws Exception
{
Scanner input = new Scanner(new FileInputStream(new File(mergedVcf)));
while(input.hasNext())
{
String line = input.nextLine();
if(line.length() == 0 || line.startsWith("#"))
{
continue;
}
VcfEntry entry = new VcfEntry(line);
i... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private int computeCount() {\n \n int count;\n try{\n count = this.clippingFeatures.size() * this.featuresToClip.size();\n }catch(ArithmeticException e ){\n \n count = Integer.MAX_VALUE;\n }\n return count;\n }",
"int getSourceFileCoun... | [
"0.6198377",
"0.59910977",
"0.5948674",
"0.59035665",
"0.5897613",
"0.5897613",
"0.5859766",
"0.58228683",
"0.58228683",
"0.57049954",
"0.57049954",
"0.563565",
"0.563565",
"0.5627574",
"0.5602646",
"0.55733144",
"0.55460197",
"0.5530989",
"0.5529719",
"0.5529719",
"0.551636"... | 0.79652673 | 0 |
TODO Autogenerated method stub | public static void sycNewTraderClient() {
String key = "123";
try {
if(newTradeServiceLock.tryLock(5, TimeUnit.SECONDS)){
try{
if(mapTradeService.containsKey(key)){
//客户端发起重连,但是服务端没有断开
}
}finally{
newTradeServiceLock.unlock();
}
}
else{
System.err.println("线程已经超时返回! ke... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
Creates an effect that causes one more cards not on table (e.g. in a card pile, in hand, etc.) to be placed in a card pile simultaneously. | public PlaceCardsInCardPileFromOffTableSimultaneouslyEffect(Action action, Collection<PhysicalCard> cardsToPlaceInCardPile, Zone cardPile, String cardPileOwner, boolean toBottomOfPile) {
super(action);
_originalCardsToPlaceInCardPile = Collections.unmodifiableCollection(cardsToPlaceInCardPile);
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void fakeCards(){\n this.drawPile = new ArrayList<>();\n drawPile.add(new RemoveActionCard(\"Fernsprechgerät\", (float) 0.5, 4, new SpecialActions(0,0,1) ));\n drawPile.add(new MovingCard(\"Millionärin\", 4, 5, 4, 99, new COLOR[]{COLOR.SAND}));\n drawPile.add(new RemoveMoveSellCa... | [
"0.65086865",
"0.60870785",
"0.6054639",
"0.5920541",
"0.58268386",
"0.5792186",
"0.5785783",
"0.5745137",
"0.5738647",
"0.5728",
"0.5688667",
"0.56439817",
"0.56064016",
"0.5595598",
"0.557219",
"0.5550538",
"0.5524084",
"0.551515",
"0.55105466",
"0.54840034",
"0.5474299",
... | 0.52209246 | 61 |
Sets some static variables during setup | public void setStaticVariables() throws KKException
{
KKConfiguration conf;
StaticData staticData = staticDataHM.get(getStoreId());
if (staticData == null)
{
staticData = new StaticData();
staticDataHM.put(getStoreId(), staticData);
}
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"protected void initVars() {}",
"static void init() {}",
"private void initSetUp()\n\t{\n\t\tthis.setActionName(NAME);\n\t\tthis.setDescription(DESCRIPTION);\n\t\tthis.setMagic(IS_MAGIC);\n\t\tthis.setAttack(IS_ATTACK);\n\t\tthis.setTargetSelf(IS_TARGET_SELF);\n\t\tthis.setInternalName(INTERNAL_NAME);\n\t}",
... | [
"0.74041474",
"0.70431113",
"0.69591975",
"0.6831681",
"0.6746035",
"0.67231715",
"0.67092806",
"0.6707551",
"0.6653532",
"0.66349995",
"0.66340494",
"0.66240525",
"0.6609472",
"0.65980834",
"0.6574705",
"0.6554909",
"0.6554234",
"0.654449",
"0.65307164",
"0.65307164",
"0.652... | 0.6463455 | 29 |
Return a payment details object for CyberSource IPN module | public PaymentDetails getPaymentDetails(Order order, PaymentInfo info) throws Exception
{
StaticData sd = staticDataHM.get(getStoreId());
/*
* The CyberSourceZone zone, if greater than zero, should reference a GeoZone. If the
* DeliveryAddress of the order isn't within that Ge... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"String getPaymentInformation();",
"com.dogecoin.protocols.payments.Protos.Payment getPayment();",
"public IBankTransfert payment();",
"public CreditCard getDefaultPaymentInfo();",
"CarPaymentMethod processPayPal();",
"public java.lang.String getPaymentinformation () {\r\n\t\treturn paymentinformation;\r\... | [
"0.70073175",
"0.62787163",
"0.6213744",
"0.6105064",
"0.6026886",
"0.60026217",
"0.59965587",
"0.5992971",
"0.59447753",
"0.5907063",
"0.5906196",
"0.5902326",
"0.58888435",
"0.5835898",
"0.5827223",
"0.57899415",
"0.5785694",
"0.5751909",
"0.57474583",
"0.5740921",
"0.57081... | 0.62256473 | 2 |
Returns true or false | public boolean isAvailable() throws KKException
{
return isAvailable(MODULE_PAYMENT_CYBERSOURCESA_STATUS);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"boolean getResult();",
"boolean getResult();",
"boolean getResult();",
"boolean getResult();",
"boolean getIsOk();",
"protected boolean func_70814_o() { return true; }",
"boolean hasResult();",
"boolean hasResult();",
"boolean hasResult();",
"boolean hasResult();",
"boolean hasResult();",
"bo... | [
"0.7090063",
"0.7090063",
"0.7090063",
"0.7090063",
"0.70810926",
"0.69709766",
"0.69659144",
"0.69659144",
"0.69659144",
"0.69659144",
"0.69659144",
"0.69659144",
"0.69659144",
"0.69659144",
"0.69659144",
"0.69659144",
"0.69659144",
"0.69659144",
"0.68238145",
"0.68238145",
... | 0.0 | -1 |
Created by Malavika Ramprasad on 12/2/2017. | public interface PostSkillsAPI {
@PUT("current_user/add_skills")
Call<User> postSkills(@HeaderMap Map<String, String> headers,@Body @Root("user_skills") PostSkills skillObj);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public void perish() {\n \n }",
"public final void mo51373a() {\n }",
"@Override\n\tpublic void grabar() {\n\t\t\n\t}",
"private stendhal() {\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void func_104112_b() {\n \n }",
"@Overri... | [
"0.5902683",
"0.5626138",
"0.5611584",
"0.56093955",
"0.54944634",
"0.54927",
"0.54815596",
"0.5481312",
"0.54764044",
"0.54702437",
"0.54702437",
"0.5430193",
"0.5397939",
"0.53816694",
"0.5371588",
"0.5370238",
"0.53642917",
"0.5350794",
"0.53412545",
"0.53412545",
"0.53412... | 0.0 | -1 |
add by tsujioku. 2012.4.3 | public void onItemImageClick(View view) {
RecommendListAdapter listAdapter = new RecommendListAdapter(this,
R.layout.search_row, itemList);
String mediumURL = this.itemInfo.getMediumImageUrl();
final String largeURL = mediumURL.replace("ex=128x128", "ex=300x300");
listA... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void add() {\n\n\t}",
"public void add() {\n\t\t\n\t}",
"@Override\n\tpublic void add() {\n\t\t\n\t}",
"@Override\r\n\tpublic int add() {\n\t\treturn 0;\r\n\t}",
"@Override\n\tpublic int add() {\n\t\treturn 0;\n\t}",
"@Override\n\tpublic int add() {\n\t\treturn 0;\n\t}",
"@Override\n\tpublic in... | [
"0.7607049",
"0.7004746",
"0.68011314",
"0.67361027",
"0.6637875",
"0.6637875",
"0.6637875",
"0.66296834",
"0.635024",
"0.63419914",
"0.6309294",
"0.62991923",
"0.62906057",
"0.61788833",
"0.61653996",
"0.615469",
"0.6139395",
"0.598278",
"0.598278",
"0.5870988",
"0.5850374",... | 0.0 | -1 |
TODO: NEW 0327 /itemSearch = new ItemDetailSearchTask(this, shopId, shopName); | public void getItemDetail(String itemCode, String shopId, String shopName) {
itemSearch = new ItemDetailSearchTask(this, shopId, shopName, getUUID());
try {
itemSearch.execute(itemCode);
} catch (RejectedExecutionException e) {
LogUtils.getInstance()
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\t\t\tprotected Void doInBackground(Void... params) {\n\t\t\t\t\n\t\t\t\tList<StoreArticle> list = getShop().searchByArticle(filter);\n\t\t\t\tStoreArticle[] array = list.toArray(new StoreArticle[0]);\n\t\t\t\tadapter = new SearchByArticleAdapter(SearchActivity.this, R.layout.search_view, array);\n\t\t\... | [
"0.6019238",
"0.5904888",
"0.5874917",
"0.5873434",
"0.58527076",
"0.57987225",
"0.5711463",
"0.5606134",
"0.56034064",
"0.55855906",
"0.55730015",
"0.5564699",
"0.5560635",
"0.555451",
"0.54890186",
"0.54827225",
"0.547976",
"0.5472562",
"0.547255",
"0.5459685",
"0.54340816"... | 0.7237693 | 0 |
Pages order in placing an order: ProductPage > CartPage > OrderAddressPage > OrderShippingPage > OrderPaymentPage > OrderSummaryPage > OrderConfirmationPage When | @Test(groups = {"smoke tests"})
public void validPurchase() {
page.GetInstance(CartPage.class)
.clickProceedToCheckoutButton() //to OrderAddressPage
.clickProceedToCheckoutButton() //to OrderShippingPage
.acceptTermsAndProceedToCheckout() //to OrderPaymentPage... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void placeOrder(TradeOrder order)\r\n {\r\n brokerage.placeOrder(order);\r\n }",
"public static void PurchaseOrder_Navigation() {\n\n\t\tWebdriverWait.findElement(\"link\", \"PROCUREMENT\").click();\n\t\tWebdriverWait.findElement(\"link\", \"Purchase Order\").click();\n\n\t}",
"Order placeN... | [
"0.63020027",
"0.62504756",
"0.6133002",
"0.6109666",
"0.6081264",
"0.6056312",
"0.6047293",
"0.602191",
"0.59453213",
"0.59353584",
"0.59197706",
"0.5917716",
"0.5914041",
"0.58948475",
"0.5889732",
"0.5835492",
"0.5815264",
"0.575167",
"0.5749833",
"0.5706022",
"0.57056165"... | 0.6305569 | 0 |
Destruction of the servlet. | public void destroy()
{
super.destroy(); // Just puts "destroy" string in log
// Put your code here
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void destroy() {\n\t\tsuper.destroy(); \n\t\tSystem.out.println(\"=====destory servlet=========\");\n\t}",
"public final void destroy()\n {\n log.info(\"PerformanceData Servlet: Done shutting down!\");\n }",
"@Override\r\n\tpublic void destroy() {\n\t\tSystem.out.println(\"second servlet de... | [
"0.8357607",
"0.8068459",
"0.7901647",
"0.7500556",
"0.7443264",
"0.6997455",
"0.69502616",
"0.6783583",
"0.6645547",
"0.66289103",
"0.65331405",
"0.64577305",
"0.641841",
"0.6385528",
"0.63693154",
"0.63544",
"0.63544",
"0.63544",
"0.63544",
"0.6344062",
"0.63351953",
"0.6... | 0.0 | -1 |
The doGet method of the servlet. This method is called when a form has its tag value method equals to get. | public void doGet(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException
{
this.doPost(request, response);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tprotected void doGet(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException {\n\t\tSystem.out.println(\"get\");\n\t\tthis.doPost(req, resp);\n\t}",
"@Override\n \tpublic void doGet(HttpServletRequest req, HttpServletResponse resp)\n \t\t\tthrows ServletException, IOEx... | [
"0.7432514",
"0.73521626",
"0.7254457",
"0.7252173",
"0.7243877",
"0.72416717",
"0.7207163",
"0.7207163",
"0.7205729",
"0.72009903",
"0.72009677",
"0.71832514",
"0.71736676",
"0.717088",
"0.7159246",
"0.71558",
"0.71525633",
"0.71515167",
"0.71400803",
"0.7138813",
"0.7138813... | 0.68978524 | 94 |
The doPost method of the servlet. This method is called when a form has its tag value method equals to post. | public void doPost(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException
{
String xml = request.getParameter("xml");
System.out.println(xml);
PrintWriter out = response.getWriter();
String result = "<Items><Item><error>0</error><Message>ERROR</Message><MidID>OK</MidID><... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"protected void doPost(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException {\n }",
"protected void doPost(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException {\n\n }",
"protected void doPost(HttpServletRequest request, H... | [
"0.7658935",
"0.7604116",
"0.7525584",
"0.7470697",
"0.7470697",
"0.7470697",
"0.7470697",
"0.7470697",
"0.7470697",
"0.7470697",
"0.7470697",
"0.7470697",
"0.7470697",
"0.7470697",
"0.7468392",
"0.74292463",
"0.74133605",
"0.7403894",
"0.7386615",
"0.7372828",
"0.7371357",
... | 0.0 | -1 |
Initialization of the servlet. | public void init() throws ServletException
{
// Put your code here
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void init() throws ServletException {\r\n\r\n\t}",
"public void init() throws ServletException {\n }",
"public void init() throws ServletException {\n\t\t\n\t}",
"public void init() throws ServletException {\r\n\t\t// Put your code here\r\n\t}",
"public void init() throws ServletException {\r\n\t... | [
"0.8178207",
"0.8166057",
"0.81264925",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
"0.8115332",
... | 0.7924157 | 88 |
Showing notification with text only | private void showNotificationMessage(Context context, String title, String message, String timeStamp, Intent intent) {
notificationUtils = new NotificationUtils(context);
intent.setFlags(Intent.FLAG_ACTIVITY_NEW_TASK | Intent.FLAG_ACTIVITY_CLEAR_TASK);
notificationUtils.showNotificationMessage(t... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void showNotification(final CharSequence text) {\n if (DEBUG) {\n Log.v(TAG, \"showNotification:\" + text);\n }\n // Set the info for the views that show in the notification panel.\n final Notification notification = new Notification.Builder(this)\n .se... | [
"0.76359785",
"0.72690296",
"0.725709",
"0.7031429",
"0.70011413",
"0.69555193",
"0.6948937",
"0.6924694",
"0.6908786",
"0.68690807",
"0.6865995",
"0.6856011",
"0.67886114",
"0.6782964",
"0.6777991",
"0.67460555",
"0.6723747",
"0.6585565",
"0.65836906",
"0.6574985",
"0.654489... | 0.5836464 | 91 |
Showing notification with text and image | private void showNotificationMessageWithBigImage(Context context, String title, String message, String timeStamp, Intent intent, String imageUrl) {
notificationUtils = new NotificationUtils(context);
intent.setFlags(Intent.FLAG_ACTIVITY_NEW_TASK | Intent.FLAG_ACTIVITY_CLEAR_TASK);
notificationUt... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void showNotification() {\r\n\t\t// In this sample, we'll use the same text for the ticker and the\r\n\t\t// expanded notification\r\n\t\tCharSequence text = getText(R.string.local_service_started);\r\n\r\n\t\t// Set the icon, scrolling text and timestamp\r\n\t\tNotification notification = new Notification... | [
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"0.6713741",
"0.67100537... | 0.6744229 | 19 |
Initialize the contents of the frame. | public void initialize() {
frame = new JFrame();
frame.getContentPane().setBackground(new Color(92, 255, 208));
frame.setBounds(100, 100, 1050, 500);
frame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE); // Dispose on close, otherwise closes all the app
frame.setTitle("Creació d'usuari");
Preferences pre... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public BreukFrame() {\n super();\n initialize();\n }",
"public MainFrame() {\n\t\tsuper();\n\t\tinitialize();\n\t}",
"private void initialize() {\n\t\tthis.setSize(211, 449);\n\t\tthis.setContentPane(getJContentPane());\n\t\tthis.setTitle(\"JFrame\");\n\t}",
"public SiscobanFrame() {\r\n\t\tsuper();\r... | [
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"0.71079... | 0.0 | -1 |
Button actions "Aceptar" & "Reset" | public void actionPerformed(ActionEvent e) {
if (e.getSource() == reset) {
String def = "";
tname.setText(def);
tsurname.setText(def);
temail.setText(def);
ttlf.setText(def);
tpass.setText(def);
} else if (e.getSource() == sub) {
tname.setText(tname.getText());
tsurname.setText(tsurname.getT... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void onClickReset(ActionEvent e) {\n\n }",
"@Override\r\n\tpublic void actionPerformed(ActionEvent e) {\n adaptee.btnReset_actionPerformed(e);\r\n\t}",
"private void btnResetActionPerformed(java.awt.event.ActionEvent evt) {\n reset(); \n }",
"private void resetBtn1ActionPerfor... | [
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"0.6468183",
"0.6465629",
"0.6442661",
"0.64376277",
... | 0.0 | -1 |
Need to use SimpleCLI.parse() instead | private SimpleCLI(Options options) {
this.options = options;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"protected void parse(CommandLine cli)\n {\n // Application ID option\n if(hasOption(cli, Opt.APPLICATION_ID, false))\n {\n applicationId = Long.parseLong(getOptionValue(cli, Opt.APPLICATION_ID));\n logOptionValue(Opt.APPLICATION_ID, applicationId);\n }\n\n ... | [
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"0.6421482",
"0.6400369",
"0.63947237",
"0.638512... | 0.5941222 | 54 |
Get root folder for current repository. | public String getRepositoryRootFolder() {
String userFolder = UnixPathUtil.unixPath(IdatrixPropertyUtil.getProperty("idatrix.metadata.reposity.root","/data/ETL/reposity/"));
if (CloudApp.getInstance().getRepository() instanceof KettleFileRepository) {
KettleFileRepository fileRepo = (KettleFileRepository) Cloud... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static String rootDir()\n {\n read_if_needed_();\n \n return _root;\n }",
"public String getLocalRepositoryRootFolder() {\n\t\tString userFolder = IdatrixPropertyUtil.getProperty(\"idatrix.local.reposity.root\",getRepositoryRootFolder() );\n\t\tint index = userFolder.indexOf(\"://\");\n\t\tif(... | [
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"0.67237145",
"0.6692271",
"0.6654597",
"0.6556852",
... | 0.78458905 | 0 |
Get root folder for current repository. | public String getLocalRepositoryRootFolder() {
String userFolder = IdatrixPropertyUtil.getProperty("idatrix.local.reposity.root",getRepositoryRootFolder() );
int index = userFolder.indexOf("://");
if(index > -1 ) {
userFolder = userFolder.substring(index+3);
}
return userFolder;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String getRepositoryRootFolder() {\n\t\tString userFolder = UnixPathUtil.unixPath(IdatrixPropertyUtil.getProperty(\"idatrix.metadata.reposity.root\",\"/data/ETL/reposity/\"));\n\t\tif (CloudApp.getInstance().getRepository() instanceof KettleFileRepository) {\n\t\t\tKettleFileRepository fileRepo = (KettleFi... | [
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"0.6654597",
"0.6556852",... | 0.7631728 | 2 |
Get meta store for given user. | public DelegatingMetaStore getMetaStore(String username) throws Exception {
if(Utils.isEmpty(username)) {
username = CloudSession.getResourceUser();
}
if(Utils.isEmpty(username)) {
return getDefaultMetaStore();
}
DelegatingMetaStore dms = null ;
if (metaStores.containsKey(username)) {
dms ... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"UserStoreManager getUserStoreManager() throws UserStoreException;",
"public com.google.cloud.aiplatform.v1.MetadataStore getMetadataStore(\n com.google.cloud.aiplatform.v1.GetMetadataStoreRequest request) {\n return io.grpc.stub.ClientCalls.blockingUnaryCall(\n getChannel(), getGetMetadataSt... | [
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"0.5227106"... | 0.76624656 | 0 |
Get default meta store (.meta). | public DelegatingMetaStore getDefaultMetaStore() {
return metaStore;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public MetadataStore getMetadataStoreForDisplay() {\n \t\t\tfinal MetadataStore store = omeMeta.getRoot();\n \t\t\tif (service.isOMEXMLMetadata(store)) {\n \t\t\t\tservice.removeBinData((OMEXMLMetadata) store);\n \t\t\t\tfor (int i = 0; i < getImageCount(); i++) {\n \t\t\t\t\tif (((OMEXMLMetadata) store).getTiffDa... | [
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"0.57293147",
"0.5729... | 0.83968896 | 0 |
Initiate user cloud repository. | public String getCloudRepositoryPath(String username) {
String userRepoPath = userRepositoryPath( username );
try {
CloudRepository.createDir(userRepoPath, CLOUD_REPOSITORY_DIR);
return userRepoPath + CLOUD_REPOSITORY_DIR + SEPARATOR;
} catch (KettleException e) {
logger.error("cloud路径创建失败.",e);
retu... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void initUser() {\n\t}",
"public void initDatabase() {\n Datastore mongoDataStore = DatabaseHandler.getInstance().getMongoDataStore();\n initUsers();\n initAccounts();\n mongoDataStore.save(users);\n }",
"@Inject\n public UserRepositoryImpl() {\n database = Fire... | [
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"0.55571955",
"0.5536... | 0.0 | -1 |
Initiate user trans repository. | public String getUserTransRepositoryPath(String username,String group) {
String userRepoPath = userRepositoryPath( username );
group = Const.NVL(group, CloudRepository.DEFAULT_GROUP_NAME);
if(CloudRepository.ALL_GROUP_NAME.equalsIgnoreCase(group)) {
group = null;
}
try {
String transDir = TRAN... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void initUser() {\n\t}",
"@PostConstruct\n public void initUsers() {\n List<MyUser> users = Stream.of(\n new MyUser(\"1\",\"Vaibhav\",\"Vaibhav\"),\n new MyUser(\"2\",\"Abhishek\",\"Abhishek\"),\n new MyUser(\"3\",\"admin\",\"admin\")\n ).collect... | [
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"0.56066364",
"0.5586705",
"0.55863404",
"0.5548257",
... | 0.0 | -1 |
Initiate user jobs repository. | public String getUserJobsRepositoryPath(String username,String group) {
String userRepoPath = userRepositoryPath( username );
group = Const.NVL(group, CloudRepository.DEFAULT_GROUP_NAME);
if(CloudRepository.ALL_GROUP_NAME.equalsIgnoreCase(group)) {
group = null;
}
try {
String jobDir = JOB_REPOSI... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void startJobs() {\n List<JobProfile> profileList = getJobConfDb().getAcceptedJobs();\n for (JobProfile profile : profileList) {\n LOGGER.info(\"init starting job from db {}\", profile.toJsonStr());\n addJob(new Job(profile));\n }\n }",
"public JobManager(){\... | [
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"0.53773534",
"0.5370857",
"0.53651536",
"0.53556144",
"0.53447... | 0.0 | -1 |
Initiate user logs repository. | public String getUserLogsRepositoryPath(String username) {
String userRepoPath = userRepositoryPath( username );
try {
CloudRepository.createDir(userRepoPath, LOG_REPOSITORY_DIR);
return userRepoPath + LOG_REPOSITORY_DIR + SEPARATOR;
} catch (KettleException e) {
logger.error("日志路径创建失败.",e);
return u... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void init() {\n LoggerContext ctx = (LoggerContext) LogManager.getContext(false);\n Configuration config = ctx.getConfiguration();\n LoggerConfig loggerConfig = config.getLoggerConfig(LogManager.ROOT_LOGGER_NAME);\n loggerConfig.setLevel(DEBUG ? Level.DEBUG : Level.INFO);\n ... | [
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Get given current user Jndi path in repository. | public String getUserJndiRepositoryPath(String username ) {
String userRepoPath = userRepositoryPath( username );
try {
CloudRepository.createDir(userRepoPath, JNDI_REPOSITORY_DIR);
return userRepoPath + JNDI_REPOSITORY_DIR + SEPARATOR;
} catch (KettleException e) {
logger.error("Jndi路径创建失败.",e);
ret... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String getUserStorageLocation(){\n Authentication auth = SecurityContextHolder.getContext().getAuthentication();\n String user = (String) auth.getPrincipal();\n return user + \"/\";\n }",
"public String getLocalRepositoryRootFolder() {\n\t\tString userFolder = IdatrixPropertyUtil.... | [
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"0.5... | 0.65304244 | 0 |
TODO Autogenerated method stub | @Override
public void onClick(View arg0) {
Intent intent = new Intent(Main2Activity.this, com.sha.location.NotifyService.class);
Main2Activity.this.startService(intent);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
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"0.61285484",
"0.608016... | 0.0 | -1 |
TODO Autogenerated method stub | @Override
public void onClick (View arg0){
stopService(new Intent(Main2Activity.this,NotifyService.class));
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
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"0.608016... | 0.0 | -1 |
/ To show a herb after choose a therapeutic propertie first in Render it is checking what herb need to be showed, according to checking list in every herb. For example if I click on LAXATIVE it calls "signForPrzeczyszczajace" as TRUE ( MainScreenTable) If it is TRUE and only this one is TRUE (it is checking in ALOE.jav... | public static void countLoading(Enum herbEnum){
System.out.println(finishedLoading++ + " Loaded asset: "+herbEnum.toString());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static String _butpaso2_click() throws Exception{\nmostCurrent._butpaso2.setVisible(anywheresoftware.b4a.keywords.Common.False);\n //BA.debugLineNum = 152;BA.debugLine=\"butPaso3.Visible = True\";\nmostCurrent._butpaso3.setVisible(anywheresoftware.b4a.keywords.Common.True);\n //BA.debugLineNum = 153;BA.deb... | [
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"0.59330505",
"0.5911764",
"0.588732",
"0.5880019... | 0.0 | -1 |
HashMap s2 = this.equipletList.get(pA_id); | public HashMap<AID, Long> getEquipletsForProductionStep(int pA_id){
return this.equipletList.get(pA_id);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Object lookup(int par1)\n {\n int j = computeHash(par1);\n\n for (IntHashMapEntry inthashmapentry = this.slots[getSlotIndex(j, this.slots.length)]; inthashmapentry != null; inthashmapentry = inthashmapentry.nextEntry)\n {\n if (inthashmapentry.hashEntry == par1)\n ... | [
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"0.5154507"... | 0.71283567 | 0 |
Inflate the layout for this fragment | @Override
public View onCreateView(LayoutInflater inflater, ViewGroup container,
Bundle savedInstanceState) {
View view = inflater.inflate(R.layout.fragment_teacher_calendar_detay, container, false);
db = FirebaseFirestore.getInstance();
tvDate = view.findViewB... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_main_allinfo, container, false);\n }",
"@Override\r\n\tpublic View onCreateView(LayoutInflater inflater, ViewGroup... | [
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TODO code application logic here | public static void main(String[] args) {
Mensaje m= new Mensaje();
System.out.println(m.recorre("buenos dias"));
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public void perish() {\n \n }",
"@Override\n\tprotected void logic() {\n\n\t}",
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\r\n\tpublic void tires() {\n\t\t\r\n\t}",
"@Override\n public void settings() {\n // TODO Auto-generated method stub\n \n }"... | [
"0.60802186",
"0.5912082",
"0.58425087",
"0.58339286",
"0.5810548",
"0.57580656",
"0.57396024",
"0.5721001",
"0.5705411",
"0.5666017",
"0.5657976",
"0.5613798",
"0.5611188",
"0.5611188",
"0.55960613",
"0.55933475",
"0.557677",
"0.5572332",
"0.5565667",
"0.55482084",
"0.553657... | 0.0 | -1 |
Returns the list of nodes contained within this group. | List<CyNode> getNodeList(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public List<Node> getNodes() {\n List<Node> list = getNodes(false, false);\n return list;\n }",
"public List<Node> getNodes();",
"List<Node> getNodes();",
"public Vector<Node> getNodes(){\n\t\treturn this.listOfNodes;\n\t}",
"public List<Nodes> getNodes() {\n return nodes;\n }",
... | [
"0.8075618",
"0.8008388",
"0.7887947",
"0.77226967",
"0.76692176",
"0.7654803",
"0.76523274",
"0.76463133",
"0.76204515",
"0.7593272",
"0.7553537",
"0.7525135",
"0.75237584",
"0.7495943",
"0.74853706",
"0.7471668",
"0.74621063",
"0.7452927",
"0.7416127",
"0.7393763",
"0.73840... | 0.73089325 | 24 |
Returns the list of edges contained within this group. | List<CyEdge> getInternalEdgeList(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static ArrayList<Edge> getAllEdges(){\n\t\treturn edgeList;\n\t}",
"public List<IEdge> getAllEdges();",
"Collection<E> edges();",
"public Set<Eventable> getAllEdges() {\n\t\treturn sfg.edgeSet();\n\t}",
"List<IEdge> getAllEdges();",
"public Vector<Edge> getEdges(){\n\t\treturn this.listOfEdges;\n\... | [
"0.79038954",
"0.77929133",
"0.7763357",
"0.7749356",
"0.770129",
"0.7681241",
"0.7667744",
"0.7660523",
"0.7656515",
"0.7619587",
"0.7568958",
"0.7562498",
"0.75191915",
"0.75004095",
"0.749953",
"0.74961674",
"0.7470513",
"0.744734",
"0.73917526",
"0.73539245",
"0.73487943"... | 0.6514403 | 51 |
Returns the list of exterior edges connected to the nodes within this group. | Set<CyEdge> getExternalEdgeList(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public DSALinkedList<DSAGraphEdge<E>> getAdjacentEdges()\n {\n return edgeList;\n }",
"public Iterable<DirectedEdge> edges() {\n ArrayList<DirectedEdge> list = new ArrayList<DirectedEdge>();\n for (int v = 0; v < V; v++) {\n for (DirectedEdge e : adj(v)) {\n l... | [
"0.7063005",
"0.68159914",
"0.67714804",
"0.6770543",
"0.6768478",
"0.6710676",
"0.67091066",
"0.66916287",
"0.6663851",
"0.6651214",
"0.66370666",
"0.6627179",
"0.65847737",
"0.65630406",
"0.6542312",
"0.6542113",
"0.6521397",
"0.651303",
"0.64777803",
"0.6476124",
"0.646696... | 0.67134637 | 5 |
Returns the network referenced by this group. All groups will point to a network, although the network might not have any nodes or edges. This is the internal network representation of the group, not the networks that the group is a member of. | CyNetwork getGroupNetwork(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Network network() {\n return network;\n }",
"public Network getNetwork() {\r\n \t\treturn network;\r\n \t}",
"public Node getNetworkNode() {\r\n return network;\r\n }",
"public String getNetworkReference() {\n return networkReference;\n }",
"public final void rule__AstNetwo... | [
"0.69339013",
"0.6757265",
"0.6718342",
"0.6580486",
"0.6497956",
"0.6415484",
"0.6271939",
"0.6253987",
"0.6245616",
"0.62384915",
"0.6199419",
"0.6158864",
"0.61406577",
"0.6115571",
"0.61035484",
"0.6061473",
"0.60292333",
"0.6024845",
"0.5972104",
"0.5958262",
"0.5946631"... | 0.71509814 | 0 |
Add a list of nodes and their edges | void addNodes(List<CyNode> nodes); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void addEdges(Collection<ExpLineageEdge> edges);",
"public void addEdge(int start, int end);",
"public void addEdge(Node from, Node to);",
"public void addEdge(int start, int end, double weight);",
"private void addLinkesToGraph()\n\t{\n\t\tString from,to;\n\t\tshort sourcePort,destPort;\n\t\tMap<Long, Set... | [
"0.7100181",
"0.7028778",
"0.6952825",
"0.6836554",
"0.6829189",
"0.68172324",
"0.67654175",
"0.66789633",
"0.66301537",
"0.6586796",
"0.65809727",
"0.64993817",
"0.6494163",
"0.6486173",
"0.648377",
"0.6478061",
"0.6473242",
"0.64505297",
"0.6440868",
"0.6424919",
"0.6300847... | 0.71727353 | 0 |
Remove a set of nodes and their edges from a group | void removeNodes(List<CyNode> nodes); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void removeEdges(List<CyEdge> edges);",
"public void removeAllEdges() {\n }",
"private void removeEdges()\r\n\t{\r\n\t final String edgeTypeName = edgeType.getName();\r\n\t for (final Edge e : eSet)\r\n\t\te.getSource().removeEdge(edgeTypeName, e.getDest());\r\n\t eSet.clear();\r\n\t}",
"public v... | [
"0.7109333",
"0.6998358",
"0.6821228",
"0.6744634",
"0.65883505",
"0.65713173",
"0.6506684",
"0.64456534",
"0.6367647",
"0.6354444",
"0.63266724",
"0.6274312",
"0.6234255",
"0.6228382",
"0.6222163",
"0.6218385",
"0.62070227",
"0.6169734",
"0.61580306",
"0.61191815",
"0.611416... | 0.6455369 | 7 |
Remove a set of edges from a group. Edges can be either internal edges or external edges. | void removeEdges(List<CyEdge> edges); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void removeEdges()\r\n\t{\r\n\t final String edgeTypeName = edgeType.getName();\r\n\t for (final Edge e : eSet)\r\n\t\te.getSource().removeEdge(edgeTypeName, e.getDest());\r\n\t eSet.clear();\r\n\t}",
"public boolean removeEdges(Collection<? extends E> edges);",
"public void removeEdge(int sta... | [
"0.7309765",
"0.7171813",
"0.6494713",
"0.63748884",
"0.6242624",
"0.61536324",
"0.5961991",
"0.5948405",
"0.59423494",
"0.5936891",
"0.58353364",
"0.5823967",
"0.5790856",
"0.5760577",
"0.5742255",
"0.56586784",
"0.56167984",
"0.5546796",
"0.55335337",
"0.5527307",
"0.550616... | 0.72477645 | 1 |
Return the root network for this group. A group can only exist within one root network, and all nodes and edges that are part of the group must exist within that root network also. | CyRootNetwork getRootNetwork(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Group getRoot(){\n assert(root != null);\n return root;\n }",
"@Override\r\n public Node[] getRootNodes() {\r\n return new Node[] {getNetworkNode()};\r\n }",
"public Node getRoot() {\r\n\r\n\t\treturn root;\r\n\t}",
"public final void rule__AstNetwork__Group_8_1__0() t... | [
"0.73755664",
"0.590125",
"0.58227223",
"0.5777705",
"0.57731193",
"0.574191",
"0.5724356",
"0.5706297",
"0.57022244",
"0.56987995",
"0.56931525",
"0.5687423",
"0.5687423",
"0.5687423",
"0.56794053",
"0.56576025",
"0.56150806",
"0.5550485",
"0.55401284",
"0.5502695",
"0.54899... | 0.6630793 | 1 |
graphqljava will mutate GraphQLTypeReference inplace, so we need to create a new instance every time. | static GraphQLFieldDefinition field(@NotNull Set<String> typeNames) {
return newFieldDefinition()
.name(fieldName)
.argument(
newArgument()
.name(argumentName)
.type(
new GraphQLNonNull(
new GraphQLList(
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"TypeReference getTypeReference();",
"protected JvmParameterizedTypeReference newTypeRef(EObject context, Class<?> type) {\n\t\tTypeReferences typeRefs = getTypeReferences();\n\t\treturn newTypeRef(context, type.getName(), typeRefs.getTypeForName(type, context));\n\t}",
"public abstract R createReference(T type... | [
"0.60102516",
"0.5788463",
"0.564758",
"0.56417",
"0.5639298",
"0.5580518",
"0.5566647",
"0.55618215",
"0.5542683",
"0.55305856",
"0.5410044",
"0.5344059",
"0.533947",
"0.5339174",
"0.5332134",
"0.53027725",
"0.5293888",
"0.523466",
"0.52226436",
"0.52130437",
"0.5192102",
... | 0.0 | -1 |
till now only the first groupname gets parsed | private void addGroup(StreamTokenizer st) throws IOException {
currentGroups.clear();
st.nextToken();
String gName = "default";
if (st.ttype == StreamTokenizer.TT_EOL) {
LoggingSystem.getLogger(this).fine("Warning: empty group name");
st.pushBack();
} else
gName = st.sval;
// System.out.println("ad... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"java.lang.String getGroup();",
"public String group() { return group; }",
"public String getGroup();",
"public String getGroupName(){\r\n return Validator.unescapeJava(this.groupName);\r\n }",
"private String formatGroupName (String groupName) {\n\t\treturn groupName;\n\t}",
"private String par... | [
"0.72236526",
"0.63279366",
"0.6279273",
"0.61502403",
"0.61061215",
"0.60743594",
"0.6028893",
"0.6011432",
"0.5977064",
"0.59677386",
"0.5958712",
"0.59375554",
"0.5850466",
"0.58392596",
"0.5827252",
"0.5816125",
"0.5810856",
"0.5768682",
"0.5750036",
"0.5743188",
"0.57416... | 0.62762123 | 3 |
TODO: check what smoothening should do... | void setSmoothening(boolean smoothShading) {
if (true)
return;
smooth = smoothShading;
material.setAttribute(CommonAttributes.POLYGON_SHADER + "."
+ CommonAttributes.SMOOTH_SHADING, smooth);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic void sacrifier() {\n\t\t\n\t}",
"private void poetries() {\n\n\t}",
"public void method_4270() {}",
"@Override\n public void perish() {\n \n }",
"private void strin() {\n\n\t}",
"private void kk12() {\n\n\t}",
"public void smell() {\n\t\t\n\t}",
"private FlyWithWings(... | [
"0.6013485",
"0.5764953",
"0.5655527",
"0.5648325",
"0.5575049",
"0.5553173",
"0.5532849",
"0.5520157",
"0.5512753",
"0.5461871",
"0.54244775",
"0.54147947",
"0.5394918",
"0.53691214",
"0.5355846",
"0.53116953",
"0.5242806",
"0.523533",
"0.5231567",
"0.5229291",
"0.5218175",
... | 0.0 | -1 |
make sure our public constants exist and have correct values | @Test
public void testPublicConstants() {
ip = new ImagePlus();
assertEquals(0,ImagePlus.GRAY8);
assertEquals(1,ImagePlus.GRAY16);
assertEquals(2,ImagePlus.GRAY32);
assertEquals(3,ImagePlus.COLOR_256);
assertEquals(4,ImagePlus.COLOR_RGB);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private Constants() {\n\t\tthrow new AssertionError();\n\t}",
"private Constants() {\n throw new AssertionError();\n }",
"private Constantes() {\r\n\t\t// No way\r\n\t}",
"private ApplicationConstants(){\n\t\t//not do anything \n\t}",
"private PuzzleConstants() {\n // not called\n }",
"priv... | [
"0.71725786",
"0.7090101",
"0.70276743",
"0.6985547",
"0.6881289",
"0.68640345",
"0.68640345",
"0.6786249",
"0.678469",
"0.67775476",
"0.6715539",
"0.65796536",
"0.65768725",
"0.6547071",
"0.6523879",
"0.6510373",
"0.64971447",
"0.64962095",
"0.64178413",
"0.6379523",
"0.6340... | 0.63968205 | 19 |
make sure public variables exist note the source code mentions all of these but ip.changes are obsolete. May not need/want this test. | @Test
public void testPublicInstanceVars() {
ip = new ImagePlus();
assertFalse(ip.changes);
/* OBSOLETE
assertEquals(1.0,ip.pixelHeight,0.0);
assertEquals(1.0,ip.pixelWidth,0.0);
assertEquals("pixel",ip.unit);
assertEquals("pixel",ip.units);
assertFalse(ip.sCalibrated);
*/
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void checkPublic() {\n }",
"boolean known() {\n\t\t\treturn !varAddress && !varMask;\n\t\t}",
"public static void check() {\r\n NetworkCode nCodes = new NetworkCode();\r\n Map<Short, String> nCodeMap = new HashMap<Short, String>();\r\n\r\n for (Field field : NetworkCode.class.get... | [
"0.61125755",
"0.60927325",
"0.5800662",
"0.57413244",
"0.56718475",
"0.5649701",
"0.55573124",
"0.540784",
"0.5374921",
"0.53401965",
"0.5332629",
"0.52985907",
"0.5293853",
"0.5279392",
"0.52515924",
"0.52179337",
"0.5180703",
"0.5163197",
"0.51549226",
"0.51546246",
"0.512... | 0.6193585 | 0 |
pass in a null image | @Test
public void testImagePlusStringImage() {
ip = new ImagePlus("Cousin",(BufferedImage)null);
assertNotNull(ip);
assertEquals("Cousin",ip.getTitle());
assertNull(ip.getImage());
// pass in a real image
Image img = new BufferedImage(50,75,BufferedImage.TYPE_USHORT_555_RGB);
ip = new ImagePlus("Vinny",... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public Image getImage(Photo photo) {\n return null;\n }",
"@Override\n\tpublic Image getImage(Object element) {\n\t\treturn null;\n\t}",
"@Override\n\tprotected String getImage(int row, int col) {\n\t\treturn null;\n\t}",
"@Override\n\tpublic ImageDescriptor getImageDescriptor() {\n\... | [
"0.73132014",
"0.72254467",
"0.71724904",
"0.7004745",
"0.6984029",
"0.6894855",
"0.686931",
"0.6765404",
"0.67341214",
"0.6640745",
"0.6639479",
"0.6610098",
"0.65715635",
"0.6535991",
"0.6532748",
"0.65224016",
"0.6516833",
"0.6474675",
"0.6421661",
"0.6406962",
"0.6402772"... | 0.0 | -1 |
note the underlying ImagePlus method does nothing except call a public method. That method is tested later in this file so really there is nothing to do here | @Test
public void testImagePlusStringImageProcessor() {
proc = new ByteProcessor(20,45);
ip = new ImagePlus("Houdini", proc);
assertNotNull(ip);
assertEquals(proc,ip.getProcessor());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void enhanceImage(){\n }",
"public native MagickImage enhanceImage() throws MagickException;",
"public native MagickImage flopImage() throws MagickException;",
"@Test\n\tpublic void testGetPixel() {\n\t\tip = new ImagePlus();\n\t\tassertArrayEquals(new int[] {0,0,0,0}, ip.getPixel(0,0));\n\n\t\t// ... | [
"0.73103803",
"0.7023013",
"0.683138",
"0.67627764",
"0.6740415",
"0.6675402",
"0.65333897",
"0.6510469",
"0.6435533",
"0.6416236",
"0.6380042",
"0.6329218",
"0.6240208",
"0.6225519",
"0.6208421",
"0.62079406",
"0.61902267",
"0.61885697",
"0.61885697",
"0.6118933",
"0.6100195... | 0.56621087 | 77 |
ImagePlus(string) : the string is either a file location or a URL note: will not test URL version try a file that should not exist | @Test
public void testImagePlusString() {
ip = new ImagePlus(DataConstants.DATA_DIR + "hongKongFooey.tif");
assertNotNull(ip);
assertNull(ip.getImage());
// try a file that should exist
ip = new ImagePlus(DataConstants.DATA_DIR + "gray8-3x2-sub1.tif");
assertNotNull(ip);
assertNotNull(ip.getImage());
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n\tpublic void testImagePlusStringImage() {\n\t\tip = new ImagePlus(\"Cousin\",(BufferedImage)null);\n\t\tassertNotNull(ip);\n\t\tassertEquals(\"Cousin\",ip.getTitle());\n\t\tassertNull(ip.getImage());\n\n\t\t// pass in a real image\n\t\tImage img = new BufferedImage(50,75,BufferedImage.TYPE_USHORT_555_RGB);... | [
"0.71467197",
"0.6742404",
"0.6340807",
"0.63142794",
"0.6268125",
"0.6241942",
"0.6041801",
"0.59756196",
"0.5946317",
"0.5889304",
"0.5835615",
"0.57667196",
"0.57667196",
"0.57399964",
"0.5733036",
"0.5689777",
"0.5664821",
"0.5651254",
"0.56498784",
"0.5639266",
"0.563876... | 0.7117773 | 1 |
getChannelProcessor() overridden by other classes. Default should be same as getProcessor() | @Test
public void testGetChannelProcessor() {
ip = new ImagePlus(DataConstants.DATA_DIR + "gray8-3x2-sub1.tif");
proc = ip.getProcessor();
assertEquals(proc,ip.getChannelProcessor());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public int getChannel()\n {\n return channel;\n }",
"public Byte getChannel() {\n return channel;\n }",
"public int getChannel() {\r\n\t\treturn channel;\r\n\t}",
"public Channel channel()\r\n/* 36: */ {\r\n/* 37: 68 */ return this.channel;\r\n/* 38: */ }",
"@Ov... | [
"0.62395704",
"0.60324204",
"0.6004438",
"0.6001051",
"0.5962234",
"0.5946155",
"0.5929981",
"0.5830363",
"0.578154",
"0.5730368",
"0.5724568",
"0.57111317",
"0.56810856",
"0.5668234",
"0.56654817",
"0.5664386",
"0.5651538",
"0.5651538",
"0.5646714",
"0.5637025",
"0.56184024"... | 0.6318133 | 0 |
/ TODO find way to test. Had to use protected var ip.img to test value. Can't just use getImage() because it also can set ip.img in certain cases. | @Test
public void testUpdateImage() {
ip = new ImagePlus();
//assertNull(ip.img);
ip.updateImage();
//assertNull(ip.img);
ip = new ImagePlus(DataConstants.DATA_DIR + "head8bit.tif");
//assertNull(ip.img);
ip.updateImage();
//assertNotNull(ip.img);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"PImage getImage() {\n return _img;\n }",
"protected ImageView getImageView(){\n\t\treturn iv1;\n\t}",
"public Image getImage(URL paramURL) {\n/* 276 */ return getAppletContext().getImage(paramURL);\n/* */ }",
"java.lang.String getImage();",
"@Test\n public void testInterfaceIp() throws Exc... | [
"0.6203783",
"0.61121887",
"0.6108175",
"0.60694826",
"0.6033726",
"0.59703904",
"0.59673256",
"0.5953482",
"0.59404397",
"0.5938496",
"0.59318966",
"0.59160495",
"0.5913987",
"0.5901641",
"0.58893764",
"0.5879118",
"0.5817498",
"0.58162737",
"0.58034945",
"0.58034945",
"0.57... | 0.56312764 | 45 |
note there is nothing I can test here its all gui or deeper stuff that nulls out | @Test
public void testHide() {
ip = new ImagePlus();
ip.hide(); // so nothing but a compile time check
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"protected JTextField determineNull() {\r\n String t;\r\n\r\n try {\r\n t = rightSideInput.getText();\r\n\r\n if (t.equals(\"\")) {\r\n return rightSideInput;\r\n }\r\n\r\n t = leftSideInput.getText();\r\n\r\n if (t.equals(\"\")) {\... | [
"0.5800252",
"0.57977515",
"0.57712877",
"0.57670045",
"0.57194126",
"0.5688175",
"0.5677882",
"0.56703675",
"0.56546587",
"0.56224626",
"0.5608542",
"0.56075925",
"0.5593035",
"0.55796105",
"0.55794126",
"0.5553866",
"0.5545663",
"0.5531701",
"0.5529087",
"0.5523095",
"0.551... | 0.0 | -1 |
note there are gui things close() does and we can't test them | @Test
public void testClose() {
ip = new ImagePlus();
ip.setRoi(0,0,2,2);
assertNotNull(ip.getRoi());
ip.close();
assertNull(ip.getRoi());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void doClose() {\n\t if (parent==null)\n\t System.exit(0);\n\t else {\n setVisible(false);\n dispose();\n }\n\t}",
"void forceClose();",
"private void exit() {\n dispose();\r\n }",
"public void close() {}",
"void close();",
"void close();",
"v... | [
"0.7363197",
"0.7295878",
"0.71782637",
"0.71752995",
"0.71540594",
"0.71540594",
"0.71540594",
"0.71540594",
"0.71540594",
"0.71540594",
"0.71540594",
"0.71540594",
"0.71540594",
"0.71540594",
"0.71540594",
"0.71540594",
"0.71540594",
"0.71540594",
"0.71540594",
"0.71540594",
... | 0.0 | -1 |
note no need to test just calls show(String) method with argument "". if next test thorough this routine automatically handled | @Test
public void testShow() {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"protected abstract String display();",
"public static void show() {\n\t\t\n\t}",
"@Override\n public void showText(String s){\n }",
"public void display(String result);",
"public void show()\r\n {\r\n\tshow(\"\");\r\n }",
"public abstract String display();",
"public void show() {\r\n ... | [
"0.7045754",
"0.6862521",
"0.6837651",
"0.6780965",
"0.67790824",
"0.6738695",
"0.6686936",
"0.6636271",
"0.6617407",
"0.6603265",
"0.6595544",
"0.657809",
"0.6562251",
"0.65493065",
"0.6516093",
"0.6512895",
"0.64960164",
"0.6427619",
"0.64046335",
"0.6344065",
"0.63314474",... | 0.6458884 | 17 |
TODO find way to test had to use protected var ip.img to successfully test this | @Test
public void testGetImage() {
ip = new ImagePlus();
//assertNull(ip.img);
assertNull(ip.getImage());
ip = new ImagePlus(DataConstants.DATA_DIR + "gray8-3x2-sub1.tif");
//assertNull(ip.img);
assertNotNull(ip.getImage());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void run(ImageProcessor ip) {\n\t\t\r\n\t}",
"@Test\n public void testInterfaceIp() throws Exception {\n isisNeighbor.setInterfaceIp(interfaceIp);\n result2 = isisNeighbor.interfaceIp();\n assertThat(result2, is(interfaceIp));\n }",
"@Test\n public void testS... | [
"0.634337",
"0.6233843",
"0.591196",
"0.58957905",
"0.58904153",
"0.5889566",
"0.5848826",
"0.5848826",
"0.5844317",
"0.58248234",
"0.58248234",
"0.57519114",
"0.57519114",
"0.57518315",
"0.5726932",
"0.5708937",
"0.56368375",
"0.56368375",
"0.5614918",
"0.56051546",
"0.55980... | 0.5428207 | 44 |
note can't really test. Its a getter with no side effects. Can't predict its value since its different after every creation of an ImagePlus. | @Test
public void testGetID() {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public double getIm() {\r\n return im;\r\n }",
"public double getIm() {\n return im;\n }",
"public PImage getImg() {\n \treturn img;\n }",
"public double getIm() {\n\t\treturn im;\n\t}",
"public float getIMG(){\n return profile.getImg();\n }",
"PImage getImage() {\n ... | [
"0.6837224",
"0.6728821",
"0.6664923",
"0.66004986",
"0.658032",
"0.6528156",
"0.6519869",
"0.6487798",
"0.644276",
"0.6431945",
"0.64053255",
"0.62885016",
"0.62763876",
"0.6262581",
"0.62392235",
"0.6230128",
"0.62205714",
"0.62061554",
"0.6198417",
"0.61826843",
"0.6179130... | 0.0 | -1 |
throws exception if passed null processor | @Test
public void testSetProcessor() {
ip = new ImagePlus();
try {
ip.setProcessor("DoesNotMatterForThisCase",null);
fail();
} catch (IllegalArgumentException e) {
assertTrue(true);
}
// throws exception if passed processor has no pixels
ip = new ImagePlus();
proc = new ByteProcessor(3,5,null,n... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test(expected = SuperCsvCellProcessorException.class)\n\tpublic void testWithNull() {\n\t\tprocessor.execute(null, ANONYMOUS_CSVCONTEXT);\n\t}",
"public DroppingProcessor(Processor processor) {\n this.processor = Optional.of(processor);\n }",
"@Test\r\n public void testExecute_inputNull() {\r\n ... | [
"0.67174727",
"0.65665776",
"0.62160176",
"0.5908177",
"0.5845668",
"0.58263886",
"0.58150387",
"0.5722621",
"0.56580484",
"0.56289846",
"0.55849147",
"0.5542633",
"0.55386317",
"0.55203825",
"0.5494275",
"0.5470833",
"0.5447032",
"0.5441379",
"0.5441021",
"0.5416397",
"0.541... | 0.6198359 | 3 |
note will only test nongui capabilities of method stack size == 0 throws illArgExc | @Test
public void testSetStackStringImageStack() {
ip = new ImagePlus();
st = new ImageStack(2,2);
try {
ip.setStack("Gizzard",st);
fail();
} catch (IllegalArgumentException e) {
assertTrue(true);
}
// not a virt stack and null imagearray (impossible) or 1st entry of imagearray is null (possible)... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"abstract public boolean argsNotFull();",
"@Test(timeout = 4000)\n public void test134() throws Throwable {\n Frame frame0 = new Frame();\n Type[] typeArray0 = new Type[9];\n Type type0 = Type.getReturnType(\"Zu.y \");\n typeArray0[0] = type0;\n Type type1 = Type.DOUBLE_TYPE;\n ty... | [
"0.6655302",
"0.63440204",
"0.62443817",
"0.6101035",
"0.60268766",
"0.6021173",
"0.60018426",
"0.598782",
"0.5923538",
"0.59198064",
"0.59060156",
"0.5883667",
"0.5826274",
"0.5805225",
"0.5778034",
"0.5762557",
"0.5742988",
"0.5740563",
"0.5734772",
"0.5733603",
"0.57310283... | 0.0 | -1 |
input dimensions do not match stack's size | @Test
public void testSetStackImageStackIntIntInt() {
st = new ImageStack(1,2,24); // 24 slices of 1x2 images
ip = new ImagePlus();
for (int chan = 0; chan < 9; chan++)
for (int slice = 0; slice < 9; slice++)
for (int frame = 0; frame < 9; frame++)
if (chan*slice*frame != 24)
try {
ip.... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int getSize(){\n return this.stack.size();\n }",
"@Test\n\tpublic void testPush(){\n\t\tArrayIntStack stack = buildStack(4);\n\t\tassertEquals(4, stack.intCol.size());\n\t}",
"public int getSize() {\r\n\t\treturn stack.size();\r\n\t}",
"private void ensureCapacity(){\n if(topIndex >= st... | [
"0.64108396",
"0.6300791",
"0.62309754",
"0.6206776",
"0.6174966",
"0.60508704",
"0.60459256",
"0.602512",
"0.60005146",
"0.599067",
"0.5971326",
"0.59713256",
"0.5946148",
"0.5936266",
"0.5931513",
"0.58810025",
"0.58501655",
"0.58212453",
"0.58129114",
"0.579582",
"0.571167... | 0.5330149 | 60 |
note sets a private variable. And getFileInfo() can't act as a getter because it has a lot of side effects. As it is I can't really test this method. | @Test
public void testSetFileInfo() {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public FileInfo getFileInfo() {\n return fileInfo;\n }",
"public final FileInfoBase getFileInfo() {\r\n return fileInfo;\r\n }",
"public void fileInfo(String info);",
"protected final void setFileInformation( FileInfo fInfo) {\n\t\tm_info = fInfo;\n\t}",
"@java.lang.Override\n ... | [
"0.7754032",
"0.7153345",
"0.6769036",
"0.67650145",
"0.669322",
"0.669322",
"0.6523694",
"0.6521964",
"0.6487778",
"0.6487778",
"0.6482773",
"0.6482773",
"0.6365948",
"0.6342186",
"0.62863183",
"0.6275443",
"0.6258021",
"0.62526214",
"0.62526214",
"0.62259287",
"0.6205426",
... | 0.759658 | 1 |
note can only test nonGUI part of this code | @Test
public void testGetWindow() {
ip = new ImagePlus();
assertNull(ip.getWindow());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n\tpublic void guiElementsTest() throws Exception {\n\t\tif (Configuration.shufflerepeat &&\n\t\tConfiguration.featureamp&&\n\t\tConfiguration.playengine&&\n\t\tConfiguration.choosefile&&\n\t\tConfiguration.gui&&\n\t\tConfiguration.skins&&\n\t\tConfiguration.light&&\n\t\tConfiguration.filesupport&&\n\t\tConf... | [
"0.62712413",
"0.6112556",
"0.60606873",
"0.6000571",
"0.5939146",
"0.5912143",
"0.5906486",
"0.58928585",
"0.58812994",
"0.58662313",
"0.58601516",
"0.58341503",
"0.5819495",
"0.5809791",
"0.5808093",
"0.57800883",
"0.57800883",
"0.5750848",
"0.5739075",
"0.57364565",
"0.573... | 0.0 | -1 |
note can only test nonGUI part of this code | @Test
public void testIsVisible() {
ip = new ImagePlus();
assertFalse(ip.isVisible());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n\tpublic void guiElementsTest() throws Exception {\n\t\tif (Configuration.shufflerepeat &&\n\t\tConfiguration.featureamp&&\n\t\tConfiguration.playengine&&\n\t\tConfiguration.choosefile&&\n\t\tConfiguration.gui&&\n\t\tConfiguration.skins&&\n\t\tConfiguration.light&&\n\t\tConfiguration.filesupport&&\n\t\tConf... | [
"0.62712413",
"0.6112556",
"0.60606873",
"0.6000571",
"0.5939146",
"0.5912143",
"0.5906486",
"0.58928585",
"0.58812994",
"0.58662313",
"0.58601516",
"0.58341503",
"0.5819495",
"0.5809791",
"0.5808093",
"0.57800883",
"0.57800883",
"0.5750848",
"0.5739075",
"0.57364565",
"0.573... | 0.0 | -1 |
Note: can't really test and relies on package visibility which could change | @Test
public void testSetColor() {
proc = new ByteProcessor(1,3,new byte[] {1,2,3},new IndexColorModel(8,1,new byte[]{1},new byte[]{2},new byte[]{3}));
if (IJInfo.RUN_ENHANCED_TESTS)
{
// this test crashes with a null ptr exception
ip = new ImagePlus("MyChemicalRomance", proc);
ip.setColor(null);
}
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private JacobUtils() {}",
"private Util() { }",
"private stendhal() {\n\t}",
"private Utils() {}",
"private Utils() {}",
"private Utils() {}",
"private Utils() {}",
"private ProtomakEngineTestHelper() {\r\n\t}",
"@Test public void singletonResolutionInFunctions() {\n fail( \"Not yet implemente... | [
"0.603564",
"0.5844955",
"0.5769031",
"0.5758873",
"0.5758873",
"0.5758873",
"0.5758873",
"0.5758179",
"0.572499",
"0.5710906",
"0.5682387",
"0.5676065",
"0.5668985",
"0.5638191",
"0.5627079",
"0.5582202",
"0.5562527",
"0.5550366",
"0.553119",
"0.549768",
"0.5489931",
"0.54... | 0.0 | -1 |
no img and no proc returns null | @Test
public void testGetProcessor() {
ip = new ImagePlus();
assertNull(ip.getProcessor());
// otherwise it gets into the method
// uncalibrated subcase
proc = new ByteProcessor(1,3,new byte[] {1,2,3},new IndexColorModel(8,1,new byte[]{1},new byte[]{2},new byte[]{3}));
ip = new ImagePlus("FredFred",pro... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\t\tpublic ImageDescriptor getImageDescriptor() {\n\t\t\treturn null;\n\t\t}",
"@Override\r\n public Object createImage(Object data) {\r\n\t // N/A in JS\r\n\t return null;\r\n\t}",
"public boolean shouldImageProcess() {\r\n\t\treturn table.getBoolean(SHOULD_IMAGE_PROCESS_KEY, false);\r\n\t}",
... | [
"0.56465685",
"0.56112933",
"0.55996335",
"0.5587425",
"0.55869436",
"0.55833346",
"0.55818003",
"0.55806607",
"0.5553641",
"0.5511872",
"0.5509123",
"0.54870176",
"0.5477284",
"0.5443364",
"0.54398",
"0.5428088",
"0.5426065",
"0.53888303",
"0.5384266",
"0.5377533",
"0.537645... | 0.5127338 | 48 |
note ImageStatistics does not override equals() so I need to do some testing of my own Will test a subset of fields. Will also test floats for equality usually a nono but desired here I think | private boolean imageStatsEquals(ImageStatistics a, ImageStatistics b)
{
if (!Arrays.equals(a.histogram, b.histogram))
return false;
if (a.pixelCount != b.pixelCount)
return false;
if (a.mode != b.mode)
return false;
if (a.dmode != b.dmode)
return false;
if (a.area != b.area)
return false;... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test void compareToNaive() {\n\t\tfor (var type : new ImageType[]{ImageType.SB_U8, ImageType.SB_U16, ImageType.SB_F32, ImageType.SB_F64}) {\n\t\t\tvar src = (ImageGray)type.createImage(width, height);\n\t\t\tvar dst = (ImageGray)type.createImage(1, 1);\n\n\t\t\tGImageMiscOps.fillUniform(src, rand, 0, 100);\n\n\t\... | [
"0.64513916",
"0.63562006",
"0.6330921",
"0.62343115",
"0.60846937",
"0.5917444",
"0.5822622",
"0.5785056",
"0.57031405",
"0.5702863",
"0.57012916",
"0.5674085",
"0.56691206",
"0.5660184",
"0.5640803",
"0.5612106",
"0.5600626",
"0.55946386",
"0.55693436",
"0.55692947",
"0.555... | 0.72676986 | 0 |
just a getter do a compile time test | @Test
public void testGetWidth() {
ip = new ImagePlus();
ip.getWidth();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"boolean isCompileTest() {\n return isCompileTest;\n }",
"@Test(result=\"true\")\n Object getConstantValue2() {\n return f3.getConstantValue();\n }",
"@Test\n public void testGetter()\n {\n assertEquals(\"Virtus\",test.getPatterName());\n assertNotEquals(\"Fury\",test.getPat... | [
"0.60950834",
"0.58706576",
"0.5870091",
"0.5754489",
"0.5701521",
"0.5667622",
"0.5667622",
"0.5666315",
"0.5662379",
"0.56181115",
"0.55019623",
"0.5469712",
"0.5469119",
"0.5460324",
"0.5455245",
"0.5434684",
"0.543097",
"0.5430565",
"0.5415487",
"0.5407256",
"0.5399145",
... | 0.0 | -1 |
just a getter do a compile time test | @Test
public void testGetHeight() {
ip = new ImagePlus();
ip.getHeight();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"boolean isCompileTest() {\n return isCompileTest;\n }",
"@Test(result=\"true\")\n Object getConstantValue2() {\n return f3.getConstantValue();\n }",
"@Test\n public void testGetter()\n {\n assertEquals(\"Virtus\",test.getPatterName());\n assertNotEquals(\"Fury\",test.getPat... | [
"0.60950834",
"0.58706576",
"0.5870091",
"0.5754489",
"0.5701521",
"0.5667622",
"0.5667622",
"0.5666315",
"0.5662379",
"0.56181115",
"0.55019623",
"0.5469712",
"0.5469119",
"0.5460324",
"0.5455245",
"0.5434684",
"0.543097",
"0.5430565",
"0.5415487",
"0.5407256",
"0.5399145",
... | 0.0 | -1 |
note getImageStackSize() is nearly identical to getStackSize() one needs to be retired? same tests will suffice | @Test
public void testGetImageStackSize() {
ip = new ImagePlus();
assertEquals(1,ip.getImageStackSize());
st = new ImageStack(2,2);
st.addSlice("GrandmaKat", new byte[] {0,8,4,1});
st.addSlice("GrandpaHuff", new byte[] {0,8,4,1});
st.addSlice("UncleRemus", new byte[] {0,8,4,1});
st.addSlice("AuntRomulu... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public abstract int getStackSizeWishInKb();",
"@Test\n\tpublic void testGetNFrames() {\n\t\tip = new ImagePlus(\"Groening\", (Image)null);\n\t\tst = new ImageStack(2,3);\n\t\tst.addSlice(\"silly\",new byte[] {1,2,3,4,5,6});\n\t\tip.setStack(\"AyeCarumba\",st);\n\t\tip.setDimensions(1,1,3);\n\t\tassertEquals(1,ip... | [
"0.7073758",
"0.6943594",
"0.67656606",
"0.6697229",
"0.659047",
"0.656829",
"0.65670395",
"0.6469744",
"0.64167106",
"0.6366724",
"0.6197918",
"0.6111997",
"0.6022617",
"0.59996194",
"0.59939563",
"0.5989108",
"0.5887168",
"0.58248186",
"0.57068217",
"0.56892616",
"0.5641804... | 0.78585404 | 0 |
there is some gui code in the setDimensions method that is untested here | @Test
public void testSetDimensions() {
// empty stack
ip = new ImagePlus();
ip.setDimensions(1,2,3);
assertEquals(1,ip.getNChannels());
assertEquals(1,ip.getNSlices());
assertEquals(ip.getStackSize(),ip.getNFrames());
// stack but dimensions don't match
ip = new ImagePlus("Kerbam",(Image)null);
st... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void updateDimensions() {\r\n width = gui.getWidth();\r\n height = gui.getHeight();\r\n yLabelsMargin = (int) gui.getLabelWidth(Integer.toString(((int) maximumDB / 10) * 10), true) + 2;\r\n if (track != null)\r\n scaleXpx = ((float) width - yLabelsMargin) / track.getB... | [
"0.7589982",
"0.70565766",
"0.68659675",
"0.68470824",
"0.68249655",
"0.6777504",
"0.6746695",
"0.6742843",
"0.6713707",
"0.67070514",
"0.6701833",
"0.66845685",
"0.66829234",
"0.668275",
"0.6669751",
"0.66592246",
"0.6629491",
"0.66195893",
"0.6614762",
"0.6611274",
"0.66064... | 0.0 | -1 |
due to lack of gui during tests, inside isHyperStack() isDisplayedHyperStack() always false openAs false, nDimensions <= 3 | @Test
public void testIsHyperStack() {
ip = new ImagePlus("ack phooey", (Image)null);
st = new ImageStack(1,4);
st.addSlice("ouch",new byte[] {1,2,3,4});
st.addSlice("yowee",new byte[] {1,2,3,4});
st.addSlice("zounds",new byte[] {1,2,3,4});
ip.setStack("wonder twins activate", st);
ip.setDimensions(1,1,3... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n\tpublic void testIsDisplayedHyperStack() {\n\t\tip = new ImagePlus();\n\t\tassertFalse(ip.isDisplayedHyperStack());\n\t}",
"boolean hasGridLayout();",
"boolean isDisplayed();",
"public boolean isDisplayed();",
"boolean hasGrid();",
"boolean hasMosaicLayout();",
"boolean isContentDisplayed();",
... | [
"0.6958888",
"0.63634306",
"0.5902301",
"0.5884496",
"0.58794695",
"0.5833553",
"0.58212674",
"0.5818658",
"0.57994485",
"0.5793086",
"0.57394004",
"0.5706083",
"0.56585723",
"0.56486547",
"0.56439763",
"0.5615767",
"0.56064874",
"0.5596077",
"0.557993",
"0.5561925",
"0.55604... | 0.7091425 | 0 |
all dims <= 1 | @Test
public void testGetNDimensions() {
ip = new ImagePlus("Agent007", (Image)null);
st = new ImageStack(2,3);
st.addSlice("suave",new byte[] {1,2,3,4,5,6});
ip.setStack("MoneyPenny",st);
ip.setDimensions(1,1,1);
assertEquals(2,ip.getNDimensions());
ip = new ImagePlus("Agent007", (Image)null);
st = n... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"int numberOfDimensions();",
"public static int numDimensions_data() {\n return 1;\n }",
"@Override\n\tboolean computeDimensions() {\n\t\treturn true;\n\t}",
"int dim(){\n\t\treturn dimx*dimy;\n\t}",
"int dimensionality();",
"@Override\n\tpublic int size() {\n\t\treturn this.nDims;\n\t}",
"int... | [
"0.6030347",
"0.59009194",
"0.58601505",
"0.58226717",
"0.5818066",
"0.57869804",
"0.57828796",
"0.5649221",
"0.564631",
"0.5640204",
"0.56342834",
"0.5537711",
"0.5527226",
"0.5521196",
"0.55152684",
"0.55107486",
"0.54947513",
"0.5469043",
"0.5457526",
"0.5443739",
"0.54346... | 0.49853322 | 59 |
note method requires a gui can't fully test | @Test
public void testIsDisplayedHyperStack() {
ip = new ImagePlus();
assertFalse(ip.isDisplayedHyperStack());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic void guiTinNhan() {\n\n\t}",
"private static void initAndShowGUI() {\n }",
"void gui(){\n _hasGUI = true;\n }",
"private void updateGUIStatus() {\r\n\r\n }",
"@Override\n\tprotected void UpdateUI() {\n\t\t\n\t}",
"@Override\n\tprotected void UpdateUI() {\n\t\t\n\t}",
... | [
"0.6924379",
"0.65271103",
"0.6425655",
"0.63958114",
"0.6394879",
"0.6394879",
"0.6379007",
"0.6372292",
"0.6332935",
"0.6325296",
"0.62363875",
"0.6207847",
"0.6154989",
"0.61290246",
"0.61018777",
"0.6096134",
"0.6015125",
"0.5989003",
"0.5985645",
"0.5984041",
"0.5953769"... | 0.0 | -1 |
stack does not match dimensions | @Test
public void testGetNChannels() {
ip = new ImagePlus("Groening", (Image)null);
st = new ImageStack(2,3);
st.addSlice("silly",new byte[] {1,2,3,4,5,6});
ip.setStack("AyeCarumba",st);
ip.setDimensions(1,1,3);
assertEquals(1,ip.getNChannels());
ip.setDimensions(1,3,1);
assertEquals(1,ip.getNChannels(... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n\tpublic void testSetDimensions() {\n\n\t\t// empty stack\n\t\tip = new ImagePlus();\n\t\tip.setDimensions(1,2,3);\n\t\tassertEquals(1,ip.getNChannels());\n\t\tassertEquals(1,ip.getNSlices());\n\t\tassertEquals(ip.getStackSize(),ip.getNFrames());\n\n\t\t// stack but dimensions don't match\n\t\tip = new Imag... | [
"0.65293705",
"0.6474458",
"0.6356223",
"0.62178344",
"0.61261034",
"0.60978824",
"0.60806143",
"0.60777086",
"0.59847796",
"0.59495294",
"0.5885759",
"0.58852845",
"0.5856733",
"0.58551866",
"0.5793647",
"0.57897717",
"0.5748476",
"0.57440466",
"0.5737041",
"0.57199854",
"0.... | 0.59815896 | 9 |
stack does not match dimensions | @Test
public void testGetNSlices() {
ip = new ImagePlus("Groening", (Image)null);
st = new ImageStack(2,3);
st.addSlice("silly",new byte[] {1,2,3,4,5,6});
ip.setStack("AyeCarumba",st);
ip.setDimensions(1,1,3);
assertEquals(1,ip.getNSlices());
ip.setDimensions(1,3,1);
assertEquals(1,ip.getNSlices());
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n\tpublic void testSetDimensions() {\n\n\t\t// empty stack\n\t\tip = new ImagePlus();\n\t\tip.setDimensions(1,2,3);\n\t\tassertEquals(1,ip.getNChannels());\n\t\tassertEquals(1,ip.getNSlices());\n\t\tassertEquals(ip.getStackSize(),ip.getNFrames());\n\n\t\t// stack but dimensions don't match\n\t\tip = new Imag... | [
"0.65293705",
"0.6474458",
"0.62178344",
"0.61261034",
"0.60978824",
"0.60806143",
"0.60777086",
"0.59847796",
"0.59815896",
"0.59495294",
"0.5885759",
"0.58852845",
"0.5856733",
"0.58551866",
"0.5793647",
"0.57897717",
"0.5748476",
"0.57440466",
"0.5737041",
"0.57199854",
"0... | 0.6356223 | 2 |
stack does not match dimensions | @Test
public void testGetNFrames() {
ip = new ImagePlus("Groening", (Image)null);
st = new ImageStack(2,3);
st.addSlice("silly",new byte[] {1,2,3,4,5,6});
ip.setStack("AyeCarumba",st);
ip.setDimensions(1,1,3);
assertEquals(1,ip.getNFrames());
ip.setDimensions(1,3,1);
assertEquals(1,ip.getNFrames());
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n\tpublic void testSetDimensions() {\n\n\t\t// empty stack\n\t\tip = new ImagePlus();\n\t\tip.setDimensions(1,2,3);\n\t\tassertEquals(1,ip.getNChannels());\n\t\tassertEquals(1,ip.getNSlices());\n\t\tassertEquals(ip.getStackSize(),ip.getNFrames());\n\n\t\t// stack but dimensions don't match\n\t\tip = new Imag... | [
"0.65293705",
"0.6474458",
"0.6356223",
"0.62178344",
"0.60978824",
"0.60806143",
"0.60777086",
"0.59847796",
"0.59815896",
"0.59495294",
"0.5885759",
"0.58852845",
"0.5856733",
"0.58551866",
"0.5793647",
"0.57897717",
"0.5748476",
"0.57440466",
"0.5737041",
"0.57199854",
"0.... | 0.61261034 | 4 |
null imageProc and null image | @Test
public void testIsInvertedLut() {
ip = new ImagePlus("CircusHell",(Image)null);
assertFalse(ip.isInvertedLut());
// null image proc with non null image
ip = new ImagePlus("CircusHell",new BufferedImage(50,75,BufferedImage.TYPE_USHORT_555_RGB));
assertEquals(ip.ip.isInvertedLut(),ip.isInvertedLut());
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tprotected String getImage(int row, int col) {\n\t\treturn null;\n\t}",
"@Override\n\tpublic ImageDescriptor getImageDescriptor() {\n\t\treturn null;\n\t}",
"@Override\n\t\tpublic ImageDescriptor getImageDescriptor() {\n\t\t\treturn null;\n\t\t}",
"@Override\r\n\tpublic ImageDescriptor getImageDe... | [
"0.6450893",
"0.64401144",
"0.6419463",
"0.6385745",
"0.6332043",
"0.60781926",
"0.59583086",
"0.59343827",
"0.59145325",
"0.5914307",
"0.58885133",
"0.58863735",
"0.5820972",
"0.5817969",
"0.58104575",
"0.5753403",
"0.5741353",
"0.57213724",
"0.57117754",
"0.5707977",
"0.570... | 0.5259169 | 86 |
if null img then always return [0,0,0,0] | @Test
public void testGetPixel() {
ip = new ImagePlus();
assertArrayEquals(new int[] {0,0,0,0}, ip.getPixel(0,0));
// COLOR_256
IndexColorModel cm = new IndexColorModel(8,1,new byte[]{1},new byte[]{2},new byte[]{3});
proc = new ByteProcessor(1,1,new byte[] {0},cm);
ip = new ImagePlus("SoupySales",proc);
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String getImg_0() {\n return img_0;\n }",
"private static int[][][] getImagePixels(Image img) {\n\n // Get the raw pixel data \n iObserver observer = new iObserver();\n int width1 = img.getWidth(observer);\n int height1 = img.getHeight(observer);\n int[] rawPix... | [
"0.6766164",
"0.6248043",
"0.6186283",
"0.6097323",
"0.60952294",
"0.6055068",
"0.60116726",
"0.599103",
"0.59809387",
"0.5977066",
"0.5959751",
"0.59453744",
"0.5933957",
"0.58951813",
"0.5892817",
"0.58737874",
"0.5871555",
"0.5854982",
"0.5851492",
"0.58427036",
"0.5842703... | 0.0 | -1 |
if stack == null and proc == null return an "empty" stack | @Test
public void testGetStack() {
ip = new ImagePlus();
st = ip.getStack();
assertEquals(1,ip.getStackSize());
// if stack == null and not proc == null and no info string
// do stuff and setRoi() if needed
proc = new ByteProcessor(1,1,new byte[] {22}, null);
ip = new ImagePlus("CareBearStation",proc)... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@SubL(source = \"cycl/stacks.lisp\", position = 2117) \n public static final SubLObject stack_empty_p(SubLObject stack) {\n checkType(stack, $sym1$STACK_P);\n return Types.sublisp_null(stack_struc_elements(stack));\n }",
"public boolean stackEmpty() {\r\n\t\treturn (top == -1) ? true : false;\r\n\t }",
... | [
"0.7493015",
"0.6918699",
"0.6685683",
"0.6574159",
"0.64090866",
"0.64060366",
"0.64028317",
"0.6383624",
"0.6340944",
"0.6286338",
"0.6286338",
"0.6286338",
"0.6283837",
"0.62534255",
"0.6226737",
"0.62043774",
"0.61960155",
"0.619421",
"0.611964",
"0.61143744",
"0.6106149"... | 0.58384174 | 36 |
again equals() not defined for ImageSTack and thus I can't compare equality unless I make a method | @Test
public void testGetImageStack() {
ip = new ImagePlus();
assertNotNull(ip.getImageStack());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void equality() {\n ImageReference expected = createSampleImage();\n\n assertEquals(expected, createSampleImage());\n assertNotEquals(expected, new ImageReference.Builder()\n .setContentUri(\"content://bar\")\n .setIsTintable(true)\n ... | [
"0.68788207",
"0.6646589",
"0.6570937",
"0.6533422",
"0.6447082",
"0.64442605",
"0.6409419",
"0.6376781",
"0.63577956",
"0.63329786",
"0.63161427",
"0.6301207",
"0.62314683",
"0.62241703",
"0.6213459",
"0.6136956",
"0.60914475",
"0.6067262",
"0.6027984",
"0.6008442",
"0.60022... | 0.5476859 | 94 |
will test in setPosIntIntInt | @Test
public void testGetChannel() {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic Buffer setInt(int pos, int i) {\n\t\treturn null;\r\n\t}",
"int attrib_int(int i, int v) {\n if (i < maxpos) {\n AllPos[i] = v;\n } else {\n int[] temp = new int[maxpos];\n int j;\n for... | [
"0.7026881",
"0.65502816",
"0.6524994",
"0.6524994",
"0.6470123",
"0.6470123",
"0.64345783",
"0.6430832",
"0.63550556",
"0.63134027",
"0.61801624",
"0.61716014",
"0.61523527",
"0.60919607",
"0.6091051",
"0.60815835",
"0.6070535",
"0.6045709",
"0.6037698",
"0.6021377",
"0.6020... | 0.0 | -1 |
will test in setPosIntIntInt | @Test
public void testGetSlice() {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic Buffer setInt(int pos, int i) {\n\t\treturn null;\r\n\t}",
"int attrib_int(int i, int v) {\n if (i < maxpos) {\n AllPos[i] = v;\n } else {\n int[] temp = new int[maxpos];\n int j;\n for... | [
"0.7026881",
"0.65502816",
"0.6524994",
"0.6524994",
"0.6470123",
"0.6470123",
"0.64345783",
"0.6430832",
"0.63550556",
"0.63134027",
"0.61801624",
"0.61716014",
"0.61523527",
"0.60919607",
"0.6091051",
"0.60815835",
"0.6070535",
"0.6045709",
"0.6037698",
"0.6021377",
"0.6020... | 0.0 | -1 |
will test in setPosIntIntInt | @Test
public void testGetFrame() {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic Buffer setInt(int pos, int i) {\n\t\treturn null;\r\n\t}",
"int attrib_int(int i, int v) {\n if (i < maxpos) {\n AllPos[i] = v;\n } else {\n int[] temp = new int[maxpos];\n int j;\n for... | [
"0.7026881",
"0.65502816",
"0.6524994",
"0.6524994",
"0.6470123",
"0.6470123",
"0.64345783",
"0.6430832",
"0.63550556",
"0.63134027",
"0.61801624",
"0.61716014",
"0.61523527",
"0.60919607",
"0.6091051",
"0.60815835",
"0.6070535",
"0.6045709",
"0.6037698",
"0.6021377",
"0.6020... | 0.0 | -1 |
note nothing to test as differences from previous method are simply UI related | @Test
public void testSetPositionWithoutUpdate() {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tprotected void UpdateUI() {\n\t\t\n\t}",
"@Override\n\tprotected void UpdateUI() {\n\t\t\n\t}",
"@Override\r\n public void updateUI() {\r\n }",
"public void updateUI(){}",
"@Override\n public void updateUi() {\n\n }",
"@Override\n public void updateUi() {\n\n }",
... | [
"0.64555764",
"0.64555764",
"0.6407122",
"0.60005915",
"0.5974222",
"0.5974222",
"0.5974222",
"0.5896393",
"0.58421963",
"0.5794756",
"0.57600975",
"0.5718005",
"0.5715502",
"0.56913275",
"0.56230265",
"0.5605135",
"0.5578756",
"0.5566854",
"0.5560105",
"0.55550075",
"0.55446... | 0.0 | -1 |
stack doesn't exist should be immediate return | @Test
public void testSetSlice() {
ip = new ImagePlus();
ip.setSlice(1234567890); // this should be safe
assertEquals(1,ip.getCurrentSlice());
// stack exists but asking for currentSlice and we have a processor - should do immediate return
proc = new ColorProcessor(2,1,new int[] {2,1});
ip = new ImagePlu... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void pushOnStackTest_InCorrect(){\n assertNotEquals(10 , stack.getStack().returnFirst());\n }",
"final boolean init_stacks()\n {\n stateptr = -1;\n val_init();\n return true;\n }",
"void onStackEmpty();",
"final boolean init_stacks()\n{\n stateptr = -1;\n val_init();\... | [
"0.70712894",
"0.68398523",
"0.68140674",
"0.68038917",
"0.68038917",
"0.68038917",
"0.67944765",
"0.6756121",
"0.6720886",
"0.663951",
"0.65435797",
"0.64944154",
"0.63976175",
"0.63754493",
"0.6368397",
"0.63613343",
"0.6341929",
"0.62175256",
"0.6209497",
"0.6206155",
"0.6... | 0.0 | -1 |
note nothing to test same as previous method but with no GUI interaction | @Test
public void testSetSliceWithoutUpdate() {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\t\t\tpublic void test() {\n\t\t\t}",
"private void test() {\n\n\t}",
"@Test\n public void TEST_GOTO_CHOOSING_UI() {\n GameData.mainMenuState = false;\n GameData.chooseDifficultyState = true;\n ChooseDifficultyUI testUI = new ChooseDifficultyUI();\n GameData.currentU... | [
"0.60514706",
"0.60360235",
"0.59906286",
"0.5930033",
"0.5876055",
"0.58512706",
"0.5841651",
"0.5800138",
"0.5799241",
"0.57862616",
"0.57823247",
"0.57692087",
"0.57574916",
"0.5750775",
"0.57017976",
"0.56999874",
"0.5693437",
"0.56933415",
"0.5689977",
"0.56804156",
"0.5... | 0.0 | -1 |
note can't fully test this method as it depends on GUI vars and state and can draw too | @Test
public void testCreateNewRoi() {
proc = new ByteProcessor(1,3,new byte[] {7,5,3},null);
ip = new ImagePlus("America's Hardware Store",proc);
// this is the best that can be done ...
ip.createNewRoi(5,10);
assertNotNull(ip.getRoi());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void draw() {\n\t\t\r\n\t}",
"@Override\r\n\tpublic void draw() {\n\t\t\r\n\t}",
"private void updateGUIStatus() {\r\n\r\n }",
"@Override\n public void draw()\n {\n }",
"void updateDrawing() {\n filling = modelRoot.getCDraw().getFilling(this);\n dirtyBufF = t... | [
"0.63919204",
"0.63919204",
"0.6283855",
"0.62804693",
"0.6278979",
"0.6269687",
"0.62484646",
"0.62484646",
"0.6245078",
"0.6241742",
"0.62246174",
"0.6207795",
"0.6198371",
"0.6198371",
"0.6193107",
"0.6165712",
"0.6165143",
"0.61304176",
"0.61303",
"0.6121592",
"0.61043364... | 0.0 | -1 |
/ Note this method has interacted badly with CurveFitter when running the two from the command line via org.junit.runn.JUnitCore. | @Test
public void testRevert() {
// note - the following code required minor changes to FileOpener. a helper of the revert method in FileOpener requires
// the existence of a IJ instance to update its progress bar. we don't have an IJ and if I create one all subsequent
// tests are affected. For now I have m... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n public void test58() throws Throwable {\n Rectangle2D.Double rectangle2D_Double0 = (Rectangle2D.Double)Plot.DEFAULT_LEGEND_ITEM_BOX;\n double double0 = rectangle2D_Double0.getWidth();\n SubCategoryAxis subCategoryAxis0 = new SubCategoryAxis(\"\");\n CombinedDomainCategoryPlot combine... | [
"0.6063864",
"0.60238415",
"0.5994573",
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"0.5880194",
"0.58554655",
"0.58462363",
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"0.5778458",
"0.577337",
"0.5772612",
"0.5766383",
"0.5761737",
"0.57436... | 0.0 | -1 |
again I find I could use an equals() method for a class in this case FileInfo | private void areEquals(FileInfo a, FileInfo b)
{
// will test a subset for now
assertEquals(a.width,b.width);
assertEquals(a.height,b.height);
assertEquals(a.nImages,b.nImages);
assertEquals(a.whiteIsZero,b.whiteIsZero);
assertEquals(a.intelByteOrder,b.intelByteOrder);
assertEquals(a.pixels,b.pixels);
... | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean equals(Object obj) {\n/* 64 */ if (this == obj) {\n/* 65 */ return true;\n/* */ }\n/* 67 */ if (obj == null) {\n/* 68 */ return false;\n/* */ }\n/* 70 */ if (getClass() != obj.getClass()) {\n/* 71 */ return false;\n/* */ }\n/* 73 */ FileBean oth... | [
"0.69109976",
"0.6510577",
"0.65092385",
"0.64236385",
"0.64007205",
"0.6387662",
"0.6372172",
"0.63183445",
"0.63061583",
"0.62708926",
"0.6197224",
"0.6149327",
"0.6149327",
"0.6120842",
"0.6029153",
"0.5979831",
"0.5968758",
"0.59636045",
"0.5945752",
"0.5915593",
"0.59092... | 0.6802895 | 1 |
tested in previous method | @Test
public void testSetIgnoreFlush() {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void func02() {\n\t\t\t\t\r\n\t\t\t}",
"@Override\n\tpublic void sacrifier() {\n\t\t\n\t}",
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tprotected void logic() {\n\n\t}",
"public final void mo5... | [
"0.61774784",
"0.6067081",
"0.60139906",
"0.60113686",
"0.60029805",
"0.5929477",
"0.5917818",
"0.5893066",
"0.5881953",
"0.5877502",
"0.58735025",
"0.5868901",
"0.5868174",
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"0.57916546",
"0.57785857",
"0.5776291",
"0.57536674",
"0.57295156",
"0.572... | 0.0 | -1 |
note nothing to test. exercise to do a compile time check of existence | @Test
public void testStartTiming() {
ip = new ImagePlus();
ip.startTiming();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"boolean _non_existent();",
"public abstract boolean doesExist();",
"boolean hasDef();",
"boolean hasExists();",
"public abstract boolean exists();",
"@Override\n\tpublic boolean exists(String arg0) {\n\t\treturn false;\n\t}",
"private boolean programIfExists(String compiledPath) {\n\t\tboolean itExists... | [
"0.66541034",
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"0.58364636",
"0.58364636",
"0.58364636",
"0.582644",
"0.57834977",
"0.576965... | 0.0 | -1 |
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