g6=J]K$\";\n jRip0.setOptions(stringArray0);\n JRip.RipperRule jRip_RipperRule1 = jRip0.new RipperRule();\n jRip_RipperRule1.size();\n jRip_RipperRule1.setConsequent((-651.008404112985));\n assertEquals((-651.008404112985), jRip_RipperRule1.getConsequent(), 0.01);\n \n JRip jRip1 = new JRip();\n JRip.RipperRule jRip_RipperRule2 = jRip1.new RipperRule();\n JRip.RipperRule jRip_RipperRule3 = jRip1.new RipperRule();\n jRip_RipperRule3.hasAntds();\n Attribute attribute0 = new Attribute(\"Using inverse-distance weighting kernels\\n\");\n JRip.NominalAntd jRip_NominalAntd0 = jRip1.new NominalAntd(attribute0);\n double double0 = jRip_NominalAntd0.getAccuRate();\n assertEquals(Double.NaN, double0, 0.01);\n }","title":""},{"docid":"2d810c5d5d65045b493d61d9dab3b8ba","score":"0.56771564","text":"@Test(timeout = 4000)\n public void test096() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixLatex0);\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n \n String[] stringArray0 = new String[7];\n stringArray0[0] = \"$circ$\";\n stringArray0[1] = \")\";\n stringArray0[2] = \" \";\n resultMatrixLatex0.clear();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n \n String[][] stringArray1 = resultMatrixLatex0.toArray();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(stringArray1);\n assertEquals(3, stringArray1.length);\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n \n int[] intArray0 = new int[3];\n intArray0[0] = (-2519);\n intArray0[1] = (-1064);\n intArray0[2] = 0;\n resultMatrixLatex0.m_RowOrder = intArray0;\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n \n stringArray0[3] = \"(\";\n resultMatrixLatex0.setEnumerateRowNames(false);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n \n stringArray0[4] = \"$\\bullet$\";\n resultMatrixLatex0.setShowAverage(false);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n \n stringArray0[5] = \"$\\bullet$\";\n stringArray0[6] = \"$\\bullet$\";\n resultMatrixLatex0.setOptions(stringArray0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(7, stringArray0.length);\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n \n int[] intArray1 = new int[1];\n assertFalse(intArray1.equals((Object)intArray0));\n \n intArray1[0] = 26;\n resultMatrixLatex0.m_ColOrder = intArray1;\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n \n double double0 = resultMatrixLatex0.getMean(26, 97);\n assertEquals(0.0, double0, 0.01);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n \n String[][] stringArray2 = resultMatrixLatex0.toArray();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(stringArray2.equals((Object)stringArray1));\n assertNotSame(stringArray2, stringArray1);\n assertNotNull(stringArray2);\n assertEquals(3, stringArray2.length);\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n \n int int0 = resultMatrixLatex0.getDefaultRowNameWidth();\n assertEquals(0, int0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n \n // Undeclared exception!\n try { \n resultMatrixLatex0.getColSize(stringArray2, 0, false, false);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }","title":""},{"docid":"aad4c13213078d0f11da88f0f368912d","score":"0.56748563","text":"@SuppressWarnings(\"unchecked\")\r\n private void generateTestcases(int p_size, int p_noiseLevel,\r\n int p_incompletenessLevel) {\r\n int p, i, j, r, ffc, max, one, zero;\r\n Random random;\r\n ArrayList<Integer> pos, pos2;\r\n int testcase[];\r\n\r\n p = this.phenotypeLength;\r\n i = 0;\r\n j = 0;\r\n r = 0;\r\n random = new Random();\r\n\r\n this.testCaseCount = p_size;\r\n this.testCases = new int[p_size][p];\r\n\r\n pos = new ArrayList<Integer>();\r\n for (i = p - 1; i >= 0; --i)\r\n pos.add(new Integer(i));\r\n\r\n for (i = 0; i < p_size; ++i) {\r\n testcase = new int[p];\r\n for (j = p - 1; j >= 0; --j)\r\n testcase[j] = (j ^ 1) & 1;\r\n\r\n pos2 = (ArrayList<Integer>) pos.clone();\r\n for (j = this.internalIncompletenessDifficultyLevel - 1; j >= 0; --j) {\r\n r = random.nextInt(pos2.size());\r\n testcase[pos2.get(r).intValue()] = 2;\r\n pos2.remove(r);\r\n }\r\n\r\n for (j = this.internalNoiseDifficultyLevel - 1; j >= 0; --j) {\r\n r = random.nextInt(pos2.size());\r\n testcase[pos2.get(r).intValue()] ^= 1;\r\n pos2.remove(r);\r\n }\r\n\r\n this.testCases[i] = testcase;\r\n }\r\n\r\n byte[] correctSolution = new byte[(this.phenotypeLength >> 3) + 1];\r\n for (i = correctSolution.length - 1; i >= 0; --i)\r\n correctSolution[i] = (byte) this.SOLUTION_VALUE;\r\n\r\n ffc = this.functionalObjectiveFunctionCount;\r\n this.functionalObjectiveFunctionCount = 1;\r\n\r\n this.minimumFitnessToSuccess = this\r\n .calculateFunctionalObjectivFitness(correctSolution, 0,\r\n this.phenotypeLength);\r\n \r\n max = 0;\r\n \r\n for( i = 0; i < p; ++i )\r\n {\r\n one = 0;\r\n zero = 0;\r\n \r\n for( j = 0; j < p_size; ++j )\r\n {\r\n if( this.testCases[j][i] == 1)\r\n ++one;\r\n else if( this.testCases[j][i] == 0 )\r\n ++zero;\r\n }\r\n \r\n max += Math.max(one, zero);\r\n }\r\n \r\n this.maximumFitness = max;\r\n\r\n this.functionalObjectiveFunctionCount = ffc;\r\n }","title":""},{"docid":"5b32dcc2e3ed4162ea926aa573693e63","score":"0.56670517","text":"private static void testFile(FileSystem fs, Path inPath, Path outPath, DataConverter converter, DecisionForest forest,\n\t\t\t\t\t Dataset dataset, Random rng) throws IOException {\n\t\t\t\t \n\t\t\t\t\tint tp = 0;\n\t\t\t\t\tint fp = 0;\n\t\t\t\t\tint fn = 0;\n\t\t\t\t\tint tn = 0;\n\t\t\t\t\tint total_test = 0;\n\t\t\t\t \n\t\t\t\t FSDataOutputStream ofile = null;\n\t\t\t\t \n\t\t\t\t if (outPath != null) {\n\t\t\t\t ofile = fs.create(outPath);\n\t\t\t\t }\n\n\t\t\t\t FSDataInputStream input = fs.open(inPath);\n\t\t\t\t \n\t\t\t\t\t// Start test\n\t\t\t\t\tDate teststart = new Date();\n\t\t\t\t\tSystem.out.println(\"Start Predict \" + teststart);\n\t\t\t\t \n\t\t\t\t try {\n\t\t\t\t\t System.out.println(\"begin scan\");\n\t\t\tScanner scanner = new Scanner(input);\n\t\t\t\t\t \n\t\t\t\t while (scanner.hasNextLine()) {\n\t\t\t\t String line = scanner.nextLine();\n//\t\t\t\t System.out.println(line);\n\t\t\t\t if (line.isEmpty()) {\n\t\t\t\t continue; // skip empty lines\n\t\t\t\t }\n\t\t\t\t \n\t\t\t\t Instance instance = converter.convert(line);\n\t\t\t\t double prediction = forest.classify(dataset, rng, instance);\n\t\t\t\t double truelable = dataset.getLabel(instance);\n//\t\t\t\t System.out.println(\"truelable \" + truelable);\n//\t\t\t\t System.out.println(\"prediction \" + prediction);\n\t\t\t\t \n//\t\t\t\t if (ofile != null) {\n//\t\t\t\t ofile.writeChars(Double.toString(prediction)); // write the prediction\n//\t\t\t\t ofile.writeChar('\\n');\n//\t\t\t\t }\n\t\t\t\t \n//\t\t\t\t results.add(new double[] {dataset.getLabel(instance), prediction});\n\t\t\t\t \n\t\t\t\t if ( truelable == 0.0 && prediction == 0.0) {\n\t\t\t\t \t tn ++; total_test++;\n\t\t\t\t }else if(truelable != 0.0 && prediction == 0.0) {\n\t\t\t\t \t fn ++; total_test++;\n\t\t\t\t }else if (truelable == 0.0 && prediction != 0.0) {\n\t\t\t\t \t fp ++; total_test++;\n\t\t\t\t }else if (truelable != 0.0 && prediction != 0.0) {\n\t\t\t\t \t tp ++ ;total_test++;\n\t\t\t\t }else {total_test++;}\n\n\t\t\t\t \n\t\t\t\t }\n\t\t\t\t \n\t\t\t\t\t\t// Test End\n\t\t\t\t\t\tDate testend = new Date();\n\t\t\t\t\t\tSystem.out.println(\"End prediction \" + testend);\n\t\t\t\t \n\t\t\t\t\t\t// calculate accuracy\n\t\t\t\t\t\t\n\t\t\t\t\t\tdouble accuracy, DR, FPR, Precision, Recall,F1;\n\t\t\t\t\t\t\n\t\t\t\t\t\taccuracy = (double)((double)(tp+tn) / (double)(tp+fp+fn+tn));\n\t\t\t\t\t\tDR = (double)(tp/(double)(tp+fp));\n\t\t\t\t\t\tFPR = (double)fp / (double)(fp+tn);\n\t\t\t\t\t\tPrecision = (double)tp / (double)(tp+fp);\n\t\t\t\t\t\tRecall = (double)tp /(double) (tp+fn);\n\t\t\t\t\t\tF1 =(double)( 2.0 / (double)( ( 1/Precision ) + ( 1 / Recall) ));\n\t\t\t\t \n\t\t \t\t\tSystem.out.println(\"********************Metrics********************\" );\n\t\t \t\t\t\n\t\t \t\t\tSystem.out.println(\"total test data = \" + total_test);\n\t\t \t\t\tSystem.out.println(\"tp:\" +tp + \" fp:\" +fp +\" fn:\" +fn + \" tn:\" +tn);\n\t\t \t\t\tSystem.out.println(\"accuracy = \" + accuracy);\n\t\t \t\t\tSystem.out.println(\"Detection Rate = \" + DR);\n\t\t \t\t\tSystem.out.println(\"False positive rate = \" + FPR);\n\t\t \t\t\tSystem.out.println(\"Precision = \" + Precision);\n\t\t \t\t\tSystem.out.println(\"Recall = \" + Recall);\n\t\t \t\t\tSystem.out.println(\"F1 score = \" + F1);\n\t\t \t\t\t\n\t\t \t\t\tSystem.out.println(\"Predict Time = \" + (testend.getTime() - teststart.getTime() ) + \" milliseconds\" );\n\n\t\t\t\t \n\t\t\t\t scanner.close(); \n\t\t\t\t }\n\t\t\t\t finally {\n\t\t\t\t\t Closeables.closeQuietly(input);\n\t\t\t\t }\n\t\t\t\t \n\t\t\t }","title":""},{"docid":"9a444185dc74f7bee24f3e73baf4a3c7","score":"0.5663377","text":"@Test(timeout = 4000)\n public void test09() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Vector<NaiveBayesMultinomial> vector0 = new Vector<NaiveBayesMultinomial>();\n instances0.removeAll(vector0);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.equals(textDirectoryLoader0);\n TechnicalInformationHandlerJavadoc technicalInformationHandlerJavadoc0 = new TechnicalInformationHandlerJavadoc();\n evaluation0.equals(technicalInformationHandlerJavadoc0);\n evaluation0.numTrueNegatives(0);\n evaluation0.SFPriorEntropy();\n Evaluation evaluation1 = new Evaluation(instances0);\n double[] doubleArray0 = new double[1];\n doubleArray0[0] = (double) 0;\n try { \n evaluation0.evaluationForSingleInstance(doubleArray0, (Instance) null, false);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }","title":""},{"docid":"250a84757189b875841e8bde609f5810","score":"0.5656555","text":"@Test(timeout = 4000)\n public void test064() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixSignificance0);\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n \n resultMatrixSignificance0.m_RowNameWidth = 2;\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n \n resultMatrixSignificance0.LOSS_STRING = \"anwdt\\\"\";\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n \n resultMatrixSignificance0.setCountWidth((-9));\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n \n resultMatrixSignificance0.setStdDevPrec((-9));\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n \n String string0 = resultMatrixSignificance0.toStringSummary();\n assertEquals(\"-summary data not set-\", string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(string0);\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(114, 0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixLatex0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(114, resultMatrixLatex0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(114, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\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.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n \n String string1 = resultMatrixLatex0.globalInfo();\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", string1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(string1.equals((Object)string0));\n assertNotNull(string1);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(114, resultMatrixLatex0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(114, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\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.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n \n int int0 = resultMatrixHTML0.getColCount();\n assertEquals(1, int0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n }","title":""},{"docid":"94adf85e9e3f80b97f5a60af5e6616cf","score":"0.5655855","text":"@Test(timeout = 4000)\n public void test060() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\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 assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n \n int[][] intArray0 = new int[3][2];\n resultMatrixSignificance0.m_NonSigWins = intArray0;\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\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 assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n \n int[] intArray1 = new int[4];\n boolean[] booleanArray0 = new boolean[4];\n booleanArray0[0] = false;\n booleanArray0[1] = true;\n booleanArray0[2] = true;\n booleanArray0[3] = false;\n resultMatrixSignificance0.m_RowHidden = booleanArray0;\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\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 assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n \n intArray1[0] = 0;\n intArray1[1] = 0;\n intArray1[2] = 0;\n intArray1[3] = 0;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[7];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 1;\n intArray2[1] = 1;\n intArray2[2] = 2;\n intArray2[3] = 2;\n intArray2[4] = 0;\n String string0 = resultMatrixSignificance0.getRowName(2138);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNull(string0);\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\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 assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n \n intArray2[5] = 1;\n intArray2[6] = 2;\n intArray0[1] = intArray2;\n int[] intArray3 = new int[6];\n assertFalse(intArray3.equals((Object)intArray1));\n assertFalse(intArray3.equals((Object)intArray2));\n \n intArray3[0] = 2;\n intArray3[1] = 0;\n intArray3[2] = 0;\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(0, 0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n assertNotNull(resultMatrixSignificance1);\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance1.getVisibleColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getColCount());\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getRowCount());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance1.getVisibleRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixSignificance1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance1.getVisibleColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getColCount());\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getRowCount());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance1.getVisibleRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n \n resultMatrixSignificance1.m_StdDevWidth = 0;\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance1.getVisibleColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getColCount());\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getRowCount());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance1.getVisibleRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n \n String string1 = resultMatrixGnuPlot0.getColName(4019);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n assertNotSame(resultMatrixSignificance1, resultMatrixSignificance0);\n assertNull(string1);\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance1.getVisibleColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getColCount());\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getRowCount());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance1.getVisibleRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n \n boolean boolean0 = resultMatrixGnuPlot0.getDefaultShowAverage();\n assertFalse(boolean0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n assertNotSame(resultMatrixSignificance1, resultMatrixSignificance0);\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance1.getVisibleColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getColCount());\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getRowCount());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance1.getVisibleRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n }","title":""},{"docid":"68e9837bd16cc545c5735cad06419396","score":"0.56558263","text":"@Test(timeout = 4000)\n public void test049() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixSignificance0);\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\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 assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n \n int[] intArray0 = new int[4];\n intArray0[0] = 0;\n intArray0[1] = 0;\n intArray0[2] = 0;\n intArray0[3] = 0;\n int[] intArray1 = new int[7];\n assertFalse(intArray1.equals((Object)intArray0));\n \n intArray1[0] = 1;\n intArray1[2] = 2;\n intArray1[4] = 0;\n intArray1[5] = 1;\n intArray0[3] = 2;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixGnuPlot0);\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\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 counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\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(\"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 \n String[] stringArray0 = new String[2];\n stringArray0[0] = \"\";\n stringArray0[1] = \" \";\n resultMatrixGnuPlot0.m_ColNames = stringArray0;\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\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 counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\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(\"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 \n resultMatrixGnuPlot0.setRowName(0, \"\");\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\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 counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\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(\"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 \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixCSV0);\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n \n int[] intArray2 = new int[1];\n assertFalse(intArray2.equals((Object)intArray0));\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = (-358);\n resultMatrixCSV0.setRowOrder(intArray2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(intArray2.equals((Object)intArray0));\n assertFalse(intArray2.equals((Object)intArray1));\n assertNotSame(intArray2, intArray0);\n assertNotSame(intArray2, intArray1);\n assertEquals(1, intArray2.length);\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertArrayEquals(new int[] {(-358)}, intArray2);\n \n String string0 = resultMatrixCSV0.globalInfo();\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(string0);\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n \n boolean boolean0 = resultMatrixGnuPlot0.getRowHidden(2);\n assertFalse(boolean0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\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 counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\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(\"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 \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixLatex0);\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\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 assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\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(40, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\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(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n \n resultMatrixLatex0.setMeanPrec(0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\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 assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\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(40, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\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(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n \n String string1 = resultMatrixLatex0.globalInfo();\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(string1.equals((Object)string0));\n assertNotNull(string1);\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\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 assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\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(40, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\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(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n \n boolean boolean1 = resultMatrixGnuPlot0.isStdDev(0);\n assertFalse(boolean1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertTrue(boolean1 == boolean0);\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\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 counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\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(\"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 }","title":""},{"docid":"a2559d87cc5cfaad0a84ce9cc2a00ded","score":"0.5651741","text":"@Test(timeout = 4000)\n public void test166() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixHTML0);\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(2, 0);\n int int0 = resultMatrixLatex0.getMeanWidth();\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, int0);\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n }","title":""},{"docid":"b3e7702b390f84967b1cd1a90ead8026","score":"0.56506604","text":"@Test\n public void test58() throws Throwable {\n SeqClassifierFlags seqClassifierFlags0 = new SeqClassifierFlags();\n assertEquals(\"\", seqClassifierFlags0.toString());\n assertNotNull(seqClassifierFlags0);\n assertEquals(50, seqClassifierFlags0.SGD2QNhessSamples);\n assertTrue(seqClassifierFlags0.useSequences);\n assertFalse(seqClassifierFlags0.useBoundarySequences);\n assertFalse(seqClassifierFlags0.combo);\n assertFalse(seqClassifierFlags0.useGoodForNamesCpC);\n assertFalse(seqClassifierFlags0.casedDistSim);\n assertFalse(seqClassifierFlags0.useTypeySequences);\n assertFalse(seqClassifierFlags0.useNoisyNonNoisyFeature);\n assertFalse(seqClassifierFlags0.useTypeSeqs3);\n assertFalse(seqClassifierFlags0.useTypeSeqs2);\n assertFalse(seqClassifierFlags0.useCRFforUnsup);\n assertEquals(1.0E-4, seqClassifierFlags0.tolerance, 0.01D);\n assertFalse(seqClassifierFlags0.printWeights);\n assertFalse(seqClassifierFlags0.greekifyNGrams);\n assertFalse(seqClassifierFlags0.useTrainLexicon);\n assertFalse(seqClassifierFlags0.randomLopFeatureSplit);\n assertFalse(seqClassifierFlags0.useWEBFreqDict);\n assertFalse(seqClassifierFlags0.useDictleng);\n assertFalse(seqClassifierFlags0.useHk);\n assertFalse(seqClassifierFlags0.useNextRealWord);\n assertFalse(seqClassifierFlags0.useMUCFeatures);\n assertFalse(seqClassifierFlags0.useDict2);\n assertFalse(seqClassifierFlags0.testHessSamples);\n assertFalse(seqClassifierFlags0.removeBackgroundSingletonFeatures);\n assertFalse(seqClassifierFlags0.deleteBlankLines);\n assertFalse(seqClassifierFlags0.includeFullCRFInLOP);\n assertEquals(0.1, seqClassifierFlags0.dualDecompInitialStepSize, 0.01D);\n assertEquals((-1), seqClassifierFlags0.arbitraryInputLayerSize);\n assertFalse(seqClassifierFlags0.usePrediction2);\n assertFalse(seqClassifierFlags0.useParenMatching);\n assertEquals(0.0, seqClassifierFlags0.removeTopNPercent, 0.01D);\n assertFalse(seqClassifierFlags0.useWEB);\n assertFalse(seqClassifierFlags0.useDictCTB2);\n assertFalse(seqClassifierFlags0.useTopics);\n assertEquals(0, seqClassifierFlags0.dualDecompMaxItr);\n assertFalse(seqClassifierFlags0.groupByFeatureTemplate);\n assertEquals(0.1, seqClassifierFlags0.initialGain, 0.01D);\n assertEquals(0.0, seqClassifierFlags0.priorLambda, 0.01D);\n assertFalse(seqClassifierFlags0.bioSubmitOutput);\n assertFalse(seqClassifierFlags0.usePre);\n assertFalse(seqClassifierFlags0.transitionEdgeOnly);\n assertFalse(seqClassifierFlags0.useQuartic);\n assertFalse(seqClassifierFlags0.useDisjunctiveShapeInteraction);\n assertFalse(seqClassifierFlags0.strictlySecondOrder);\n assertFalse(seqClassifierFlags0.useFloat);\n assertFalse(seqClassifierFlags0.addBiasToEmbedding);\n assertFalse(seqClassifierFlags0.useASBCSuf1);\n assertFalse(seqClassifierFlags0.dropoutApprox);\n assertFalse(seqClassifierFlags0.useAs);\n assertFalse(seqClassifierFlags0.regularizeSoftmaxTieParam);\n assertFalse(seqClassifierFlags0.dump);\n assertFalse(seqClassifierFlags0.useSeenFeaturesOnly);\n assertFalse(seqClassifierFlags0.useNegHKDict2);\n assertFalse(seqClassifierFlags0.useHardGE);\n assertEquals(0.0, seqClassifierFlags0.l1reg, 0.01D);\n assertFalse(seqClassifierFlags0.useNegCTBDict2);\n assertFalse(seqClassifierFlags0.useRadical);\n assertFalse(seqClassifierFlags0.useChPos);\n assertFalse(seqClassifierFlags0.removeStrictGoodCoNLLDuplicates);\n assertFalse(seqClassifierFlags0.fakeDataset);\n assertFalse(seqClassifierFlags0.useNegCTBDict4);\n assertFalse(seqClassifierFlags0.useNegCTBDict3);\n assertFalse(seqClassifierFlags0.useSegmentation);\n assertFalse(seqClassifierFlags0.useNB);\n assertFalse(seqClassifierFlags0.useNegHKDict3);\n assertFalse(seqClassifierFlags0.useNegHKDict4);\n assertFalse(seqClassifierFlags0.intern2);\n assertFalse(seqClassifierFlags0.retainEntitySubclassification);\n assertFalse(seqClassifierFlags0.useHybrid);\n assertFalse(seqClassifierFlags0.useWordn);\n assertFalse(seqClassifierFlags0.readStdin);\n assertFalse(seqClassifierFlags0.dualDecompAlignment);\n assertFalse(seqClassifierFlags0.useShapeConjunctions);\n assertFalse(seqClassifierFlags0.useGazettes);\n assertEquals(25, seqClassifierFlags0.QNsize);\n assertFalse(seqClassifierFlags0.useLemmas);\n assertEquals(25, seqClassifierFlags0.QNsize2);\n assertFalse(seqClassifierFlags0.useUnicodeBlock);\n assertTrue(seqClassifierFlags0.learnCHBasedOnEN);\n assertFalse(seqClassifierFlags0.useBeginSent);\n assertFalse(seqClassifierFlags0.expandMidDot);\n assertFalse(seqClassifierFlags0.normalizeTerms);\n assertFalse(seqClassifierFlags0.evaluateBackground);\n assertFalse(seqClassifierFlags0.useSuf);\n assertFalse(seqClassifierFlags0.useEntityTypeSequences);\n assertEquals(0, seqClassifierFlags0.numTimesPruneFeatures);\n assertFalse(seqClassifierFlags0.useAcqPrior);\n assertFalse(seqClassifierFlags0.useRad2b);\n assertFalse(seqClassifierFlags0.usePhraseWordTags);\n assertEquals(0, seqClassifierFlags0.hybridCutoffIteration);\n assertEquals(10, seqClassifierFlags0.totalDataSlice);\n assertFalse(seqClassifierFlags0.subCWGaz);\n assertFalse(seqClassifierFlags0.dehyphenateNGrams);\n assertEquals(1, seqClassifierFlags0.endFold);\n assertFalse(seqClassifierFlags0.doAdaptation);\n assertTrue(seqClassifierFlags0.useQN);\n assertFalse(seqClassifierFlags0.useWideDisjunctive);\n assertFalse(seqClassifierFlags0.useNoisyLabel);\n assertFalse(seqClassifierFlags0.blockInitialize);\n assertEquals(0, seqClassifierFlags0.multiThreadGibbs);\n assertEquals(0.0, seqClassifierFlags0.dropoutRate, 0.01D);\n assertFalse(seqClassifierFlags0.useReverse);\n assertFalse(seqClassifierFlags0.useBagOfWords);\n assertEquals(10, seqClassifierFlags0.totalFeatureSlice);\n assertFalse(seqClassifierFlags0.tuneSGD);\n assertEquals((-1), seqClassifierFlags0.samplingSpeedUpThreshold);\n assertEquals(0.1, seqClassifierFlags0.gainSGD, 0.01D);\n assertFalse(seqClassifierFlags0.useSentenceNumber);\n assertFalse(seqClassifierFlags0.useOrdinal);\n assertFalse(seqClassifierFlags0.useAbbr1);\n assertFalse(seqClassifierFlags0.testVariance);\n assertEquals(100, seqClassifierFlags0.printClassifierParam);\n assertFalse(seqClassifierFlags0.useSymWordPairs);\n assertFalse(seqClassifierFlags0.prependEmbedding);\n assertEquals((-1), seqClassifierFlags0.maxNGramLeng);\n assertEquals(0.0, seqClassifierFlags0.alignmentPruneThreshold, 0.01D);\n assertFalse(seqClassifierFlags0.keepAllWhitespaces);\n assertFalse(seqClassifierFlags0.useOutDict2);\n assertFalse(seqClassifierFlags0.useLastRealWord);\n assertEquals(0.0, seqClassifierFlags0.pctSegmenterScale, 0.01D);\n assertFalse(seqClassifierFlags0.useNERPrior);\n assertTrue(seqClassifierFlags0.useHiddenLayer);\n assertFalse(seqClassifierFlags0.usePk);\n assertFalse(seqClassifierFlags0.useFREQ);\n assertFalse(seqClassifierFlags0.baseline);\n assertEquals((-1), seqClassifierFlags0.SGDPasses);\n assertEquals(1, seqClassifierFlags0.startFold);\n assertFalse(seqClassifierFlags0.normalize);\n assertEquals(1, seqClassifierFlags0.numFolds);\n assertFalse(seqClassifierFlags0.usePKChar2);\n assertEquals(0, seqClassifierFlags0.maxDocSize);\n assertTrue(seqClassifierFlags0.initViterbi);\n assertFalse(seqClassifierFlags0.usePrev);\n assertFalse(seqClassifierFlags0.useMoreTags);\n assertFalse(seqClassifierFlags0.useStochasticQN);\n assertFalse(seqClassifierFlags0.useOWLQN);\n assertFalse(seqClassifierFlags0.powerAlignProb);\n assertFalse(seqClassifierFlags0.suppressMidDotPostprocessing);\n assertFalse(seqClassifierFlags0.useNGrams);\n assertFalse(seqClassifierFlags0.useURLSequences);\n assertFalse(seqClassifierFlags0.restrictTransitionsTimit);\n assertFalse(seqClassifierFlags0.cacheNGrams);\n assertFalse(seqClassifierFlags0.noNeighborConstraints);\n assertFalse(seqClassifierFlags0.useWord4);\n assertFalse(seqClassifierFlags0.useWord3);\n assertFalse(seqClassifierFlags0.useWord2);\n assertFalse(seqClassifierFlags0.useScaledSGD);\n assertFalse(seqClassifierFlags0.noMidNGrams);\n assertFalse(seqClassifierFlags0.useWordPairs);\n assertFalse(seqClassifierFlags0.useSGDtoQN);\n assertFalse(seqClassifierFlags0.useIfInteger);\n assertFalse(seqClassifierFlags0.nonLinearCRF);\n assertFalse(seqClassifierFlags0.useLC);\n assertEquals(0, seqClassifierFlags0.numOfSlices);\n assertFalse(seqClassifierFlags0.useTitle);\n assertFalse(seqClassifierFlags0.useSum);\n assertEquals((-1), seqClassifierFlags0.wordShape);\n assertFalse(seqClassifierFlags0.normalizeTimex);\n assertFalse(seqClassifierFlags0.useKL);\n assertFalse(seqClassifierFlags0.useDictPK2);\n assertEquals(1, seqClassifierFlags0.kBest);\n assertFalse(seqClassifierFlags0.largeChSegFile);\n assertFalse(seqClassifierFlags0.useMoreGazFeatures);\n assertFalse(seqClassifierFlags0.useDictionaryConjunctions);\n assertEquals(1, seqClassifierFlags0.numTimesRemoveTopN);\n assertFalse(seqClassifierFlags0.useMinimalAbbr1);\n assertEquals(0.9, seqClassifierFlags0.selfTrainConfidenceThreshold, 0.01D);\n assertFalse(seqClassifierFlags0.usePosition);\n assertFalse(seqClassifierFlags0.useRule2);\n assertFalse(seqClassifierFlags0.useWordShapeGaz);\n assertFalse(seqClassifierFlags0.useWord1);\n assertFalse(seqClassifierFlags0.outputIterationsToFile);\n assertFalse(seqClassifierFlags0.softmaxOutputLayer);\n assertEquals(0, seqClassifierFlags0.multiThreadClassifier);\n assertFalse(seqClassifierFlags0.useVB);\n assertEquals(0.0, seqClassifierFlags0.softmaxTieLambda, 0.01D);\n assertFalse(seqClassifierFlags0.useCommonWordsFeature);\n assertFalse(seqClassifierFlags0.useMinimalAbbr);\n assertFalse(seqClassifierFlags0.useAdaGradFOBOS);\n assertFalse(seqClassifierFlags0.useUnicodeType4gram);\n assertFalse(seqClassifierFlags0.useLongSequences);\n assertFalse(seqClassifierFlags0.sighanPostProcessing);\n assertEquals(0, seqClassifierFlags0.numOfFeatureSlices);\n assertFalse(seqClassifierFlags0.useDisjunctive);\n assertFalse(seqClassifierFlags0.verboseMode);\n assertFalse(seqClassifierFlags0.useTypeSeqs);\n assertFalse(seqClassifierFlags0.useNPGovernor);\n assertFalse(seqClassifierFlags0.useEitherSideDisjunctive);\n assertFalse(seqClassifierFlags0.printXML);\n assertFalse(seqClassifierFlags0.splitOnHead);\n assertFalse(seqClassifierFlags0.useMoreAbbr);\n assertFalse(seqClassifierFlags0.useChunks);\n assertFalse(seqClassifierFlags0.useABSTR);\n assertFalse(seqClassifierFlags0.terminateOnEvalImprovement);\n assertFalse(seqClassifierFlags0.useDictionaryConjunctions3);\n assertEquals(0.1, seqClassifierFlags0.initRate, 0.01D);\n assertFalse(seqClassifierFlags0.ocrTrain);\n assertEquals(8, seqClassifierFlags0.maxAllowedChromaticSize);\n assertFalse(seqClassifierFlags0.useSymTags);\n assertEquals(1.0, seqClassifierFlags0.dropoutScale, 0.01D);\n assertFalse(seqClassifierFlags0.useNextSequences);\n assertFalse(seqClassifierFlags0.strictlyZeroethOrder);\n assertEquals((-1), seqClassifierFlags0.QNPasses);\n assertFalse(seqClassifierFlags0.printNR);\n assertFalse(seqClassifierFlags0.mergeTags);\n assertFalse(seqClassifierFlags0.useCorefFeatures);\n assertFalse(seqClassifierFlags0.useDisjShape);\n assertFalse(seqClassifierFlags0.evaluateTrain);\n assertEquals(1000, seqClassifierFlags0.wordSegBeamSize);\n assertEquals(1.0, seqClassifierFlags0.unsupDropoutScale, 0.01D);\n assertFalse(seqClassifierFlags0.use4Clique);\n assertEquals(30, seqClassifierFlags0.beamSize);\n assertFalse(seqClassifierFlags0.printFactorTable);\n assertFalse(seqClassifierFlags0.useSigmoid);\n assertFalse(seqClassifierFlags0.useNumberFeature);\n assertFalse(seqClassifierFlags0.groupByInput);\n assertTrue(seqClassifierFlags0.useMemoryEvaluator);\n assertFalse(seqClassifierFlags0.memoryThrift);\n assertFalse(seqClassifierFlags0.groupByHiddenUnit);\n assertTrue(seqClassifierFlags0.separateASCIIandRange);\n assertTrue(seqClassifierFlags0.applyNERPenalty);\n assertFalse(seqClassifierFlags0.printTrainLabels);\n assertFalse(seqClassifierFlags0.hardcodeSoftmaxOutputWeights);\n assertFalse(seqClassifierFlags0.useBerkeleyAlignerForViterbi);\n assertFalse(seqClassifierFlags0.lowercaseNGrams);\n assertFalse(seqClassifierFlags0.useASBCPre1);\n assertEquals(0.95, seqClassifierFlags0.adaDeltaRho, 0.01D);\n assertEquals(1, seqClassifierFlags0.selfTrainWindowSize);\n assertEquals(0.5, seqClassifierFlags0.alignmentDecodeThreshold, 0.01D);\n assertFalse(seqClassifierFlags0.useABSTRFreq);\n assertFalse(seqClassifierFlags0.dontExtendTaggy);\n assertTrue(seqClassifierFlags0.useDenero);\n assertTrue(seqClassifierFlags0.restrictLabels);\n assertTrue(seqClassifierFlags0.keepOBInMemory);\n assertFalse(seqClassifierFlags0.useChunkySequences);\n assertFalse(seqClassifierFlags0.useInPlaceSGD);\n assertFalse(seqClassifierFlags0.terminateOnAvgImprovement);\n assertEquals(1.0, seqClassifierFlags0.sigma, 0.01D);\n assertFalse(seqClassifierFlags0.useSemPrior);\n assertFalse(seqClassifierFlags0.numberEquivalenceDistSim);\n assertFalse(seqClassifierFlags0.useHuber);\n assertFalse(seqClassifierFlags0.strictlyThirdOrder);\n assertFalse(seqClassifierFlags0.strictlyFirstOrder);\n assertTrue(seqClassifierFlags0.useExternal);\n assertFalse(seqClassifierFlags0.weightByEntropy);\n assertFalse(seqClassifierFlags0.augmentedDateChars);\n assertFalse(seqClassifierFlags0.useSMD);\n assertFalse(seqClassifierFlags0.initWithNERPosterior);\n assertFalse(seqClassifierFlags0.useFeaturesCpC5gram);\n assertFalse(seqClassifierFlags0.announceObjectBankEntries);\n assertFalse(seqClassifierFlags0.useLemmaAsWord);\n assertFalse(seqClassifierFlags0.geDebug);\n assertFalse(seqClassifierFlags0.useGEforSup);\n assertFalse(seqClassifierFlags0.useUnicodeType5gram);\n assertEquals(0, seqClassifierFlags0.interimOutputFreq);\n assertEquals(100, seqClassifierFlags0.numSamples);\n assertFalse(seqClassifierFlags0.useANTE);\n assertFalse(seqClassifierFlags0.gradientDebug);\n assertFalse(seqClassifierFlags0.usePhraseWords);\n assertFalse(seqClassifierFlags0.verboseForTrueCasing);\n assertTrue(seqClassifierFlags0.useOutputLayer);\n assertTrue(seqClassifierFlags0.biAlignmentPriorIsPMI);\n assertFalse(seqClassifierFlags0.useBig5);\n assertFalse(seqClassifierFlags0.useYetMoreCpCShapes);\n assertFalse(seqClassifierFlags0.useFilter);\n assertFalse(seqClassifierFlags0.useAdaDelta);\n assertEquals(0, seqClassifierFlags0.featureCountThresh);\n assertFalse(seqClassifierFlags0.useUnicodeType);\n assertFalse(seqClassifierFlags0.estimateInitial);\n assertEquals((-1), seqClassifierFlags0.labelDictionaryCutoff);\n assertEquals(8, seqClassifierFlags0.distSimMaxBits);\n assertFalse(seqClassifierFlags0.pctSegmenterScaleByCRF);\n assertFalse(seqClassifierFlags0.useNextVB);\n assertFalse(seqClassifierFlags0.tieOutputLayer);\n assertEquals((-1), seqClassifierFlags0.numHiddenUnits);\n assertFalse(seqClassifierFlags0.saveFeatureIndexToDisk);\n assertFalse(seqClassifierFlags0.useGENIA);\n assertFalse(seqClassifierFlags0.useUniformPrior);\n assertFalse(seqClassifierFlags0.printFirstOrderProbs);\n assertEquals(1, seqClassifierFlags0.numStartLayers);\n assertFalse(seqClassifierFlags0.booleanFeatures);\n assertFalse(seqClassifierFlags0.useTOK);\n assertEquals(0, seqClassifierFlags0.maxRight);\n assertFalse(seqClassifierFlags0.useABGENE);\n assertFalse(seqClassifierFlags0.use2W);\n assertEquals(2, seqClassifierFlags0.maxLeft);\n assertEquals(10, seqClassifierFlags0.wideDisjunctionWidth);\n assertFalse(seqClassifierFlags0.useWordUTypeConjunctions3);\n assertFalse(seqClassifierFlags0.cleanGazette);\n assertTrue(seqClassifierFlags0.includeC2EViterbi);\n assertFalse(seqClassifierFlags0.secondOrderNonLinear);\n assertFalse(seqClassifierFlags0.useWordUTypeConjunctions2);\n assertFalse(seqClassifierFlags0.usePKSuf1);\n assertFalse(seqClassifierFlags0.alternateTraining);\n assertFalse(seqClassifierFlags0.useHKChar2);\n assertTrue(seqClassifierFlags0.useKnownLCWords);\n assertTrue(seqClassifierFlags0.useViterbi);\n assertEquals(Integer.MAX_VALUE, seqClassifierFlags0.printFeaturesUpto);\n assertFalse(seqClassifierFlags0.useFirstWord);\n assertFalse(seqClassifierFlags0.usePrevVB);\n assertFalse(seqClassifierFlags0.useEitherSideWord);\n assertFalse(seqClassifierFlags0.usePKPre1);\n assertFalse(seqClassifierFlags0.useRad1);\n assertTrue(seqClassifierFlags0.splitDocuments);\n assertFalse(seqClassifierFlags0.doFeatureDiscovery);\n assertFalse(seqClassifierFlags0.lowerNewgeneThreshold);\n assertEquals(1, seqClassifierFlags0.nerSlowerTimes);\n assertFalse(seqClassifierFlags0.useCWSWordFeaturesAll);\n assertFalse(seqClassifierFlags0.useNeighborNGrams);\n assertTrue(seqClassifierFlags0.useWord);\n assertFalse(seqClassifierFlags0.useTaggySequencesShapeInteraction);\n assertFalse(seqClassifierFlags0.iobTags);\n assertFalse(seqClassifierFlags0.useSequentialScanSampling);\n assertFalse(seqClassifierFlags0.useSGD);\n assertFalse(seqClassifierFlags0.useBilingualNERPrior);\n assertFalse(seqClassifierFlags0.useACR);\n assertFalse(seqClassifierFlags0.suppressTestDebug);\n assertFalse(seqClassifierFlags0.useAdaDiff);\n assertFalse(seqClassifierFlags0.pctSegmenterLenAdjust);\n assertFalse(seqClassifierFlags0.usePhraseFeatures);\n assertFalse(seqClassifierFlags0.useFeaturesCpC6gram);\n assertFalse(seqClassifierFlags0.dualDecompDebug);\n assertFalse(seqClassifierFlags0.useBigramInTwoClique);\n assertFalse(seqClassifierFlags0.testObjFunction);\n assertEquals(0, seqClassifierFlags0.featureCountThreshold);\n assertFalse(seqClassifierFlags0.useOccurrencePatterns);\n assertEquals(0, seqClassifierFlags0.maxQNItr);\n assertFalse(seqClassifierFlags0.factorInAlignmentProb);\n assertFalse(seqClassifierFlags0.useKBest);\n assertTrue(seqClassifierFlags0.averagePerceptron);\n assertEquals(15, seqClassifierFlags0.stochasticBatchSize);\n assertEquals(0.0, seqClassifierFlags0.annealingRate, 0.01D);\n assertFalse(seqClassifierFlags0.useRad2);\n assertEquals(0, seqClassifierFlags0.ocrFold);\n assertFalse(seqClassifierFlags0.backpropLopTraining);\n assertFalse(seqClassifierFlags0.useProtoFeatures);\n assertEquals((-1), seqClassifierFlags0.maxIterations);\n assertFalse(seqClassifierFlags0.useExtraTaggySequences);\n assertFalse(seqClassifierFlags0.useNegASBCDict2);\n assertFalse(seqClassifierFlags0.usePrediction);\n assertFalse(seqClassifierFlags0.useTaggySequences);\n assertFalse(seqClassifierFlags0.useWordShapeConjunctions2);\n assertFalse(seqClassifierFlags0.useWordShapeConjunctions3);\n assertEquals(3, seqClassifierFlags0.charHalfWindow);\n assertFalse(seqClassifierFlags0.useOnlySeenWeights);\n assertFalse(seqClassifierFlags0.useEntityTypes);\n assertFalse(seqClassifierFlags0.useLabelSource);\n assertFalse(seqClassifierFlags0.twoStage);\n assertTrue(seqClassifierFlags0.initWithPosterior);\n assertFalse(seqClassifierFlags0.useCWSWordFeatures);\n assertFalse(seqClassifierFlags0.useHeadGov);\n assertFalse(seqClassifierFlags0.useNegASBCDict3);\n assertEquals(0, seqClassifierFlags0.removeTopN);\n assertFalse(seqClassifierFlags0.useNegASBCDict4);\n assertFalse(seqClassifierFlags0.useRandomSeed);\n assertFalse(seqClassifierFlags0.groupByOutputClass);\n assertFalse(seqClassifierFlags0.powerAlignProbAsAddition);\n assertFalse(seqClassifierFlags0.useFeaturesC6gram);\n assertFalse(seqClassifierFlags0.conjoinShapeNGrams);\n assertFalse(seqClassifierFlags0.factorInBiEdgePotential);\n assertFalse(seqClassifierFlags0.strictGoodCoNLL);\n assertFalse(seqClassifierFlags0.doGibbs);\n assertEquals(0, seqClassifierFlags0.scaledSGDMethod);\n assertFalse(seqClassifierFlags0.useCTBChar2);\n assertFalse(seqClassifierFlags0.useFeaturesC5gram);\n assertEquals(1.0, seqClassifierFlags0.lambdaCH, 0.01D);\n assertFalse(seqClassifierFlags0.perceptronDebug);\n assertFalse(seqClassifierFlags0.useShapeStrings3);\n assertFalse(seqClassifierFlags0.useShapeStrings1);\n assertFalse(seqClassifierFlags0.useWordTag);\n assertFalse(seqClassifierFlags0.matchNERIncentive);\n assertFalse(seqClassifierFlags0.useShapeStrings5);\n assertFalse(seqClassifierFlags0.useWordnetFeatures);\n assertFalse(seqClassifierFlags0.useShapeStrings4);\n assertEquals(0.001, seqClassifierFlags0.adaGradEps, 0.01D);\n assertFalse(seqClassifierFlags0.useShapeStrings);\n assertEquals(1.0, seqClassifierFlags0.randomizedRatio, 0.01D);\n assertFalse(seqClassifierFlags0.learnENBasedOnCH);\n assertFalse(seqClassifierFlags0.checkNameList);\n assertFalse(seqClassifierFlags0.useYear);\n assertEquals(0.0, seqClassifierFlags0.priorAlpha, 0.01D);\n assertFalse(seqClassifierFlags0.useAbbr);\n assertFalse(seqClassifierFlags0.appendLC);\n assertFalse(seqClassifierFlags0.useObservedFeaturesOnly);\n assertFalse(seqClassifierFlags0.useEmbedding);\n assertFalse(seqClassifierFlags0.useNegDict2);\n assertFalse(seqClassifierFlags0.useEntityRule);\n assertFalse(seqClassifierFlags0.randomLopWeights);\n assertEquals(0, seqClassifierFlags0.nerSkipFirstK);\n assertFalse(seqClassifierFlags0.noEdgeFeature);\n assertFalse(seqClassifierFlags0.keepEnglishWhitespaces);\n assertEquals(1, seqClassifierFlags0.numLopExpert);\n assertFalse(seqClassifierFlags0.useCTBPre1);\n assertFalse(seqClassifierFlags0.useASBCChar2);\n assertFalse(seqClassifierFlags0.checkGradient);\n assertFalse(seqClassifierFlags0.useTags);\n assertFalse(seqClassifierFlags0.useNegDict3);\n assertFalse(seqClassifierFlags0.sloppyGazette);\n assertFalse(seqClassifierFlags0.useNegDict4);\n assertFalse(seqClassifierFlags0.skipOutputRegularization);\n assertFalse(seqClassifierFlags0.useGenericFeatures);\n assertEquals(1, seqClassifierFlags0.selfTrainIterations);\n assertEquals(1, seqClassifierFlags0.multiThreadPerceptron);\n assertFalse(seqClassifierFlags0.keepEmptySentences);\n assertFalse(seqClassifierFlags0.sparseOutputLayer);\n assertFalse(seqClassifierFlags0.useHKSuf1);\n assertEquals(0.01, seqClassifierFlags0.epsilon, 0.01D);\n assertFalse(seqClassifierFlags0.useGazettePhrases);\n assertFalse(seqClassifierFlags0.useMSRChar2);\n assertFalse(seqClassifierFlags0.printLabelValue);\n assertFalse(seqClassifierFlags0.useNERPriorBIO);\n assertEquals(0, seqClassifierFlags0.evaluateIters);\n assertFalse(seqClassifierFlags0.lazyUpdate);\n assertEquals(1, seqClassifierFlags0.CRForder);\n assertFalse(seqClassifierFlags0.useDictHK2);\n assertFalse(seqClassifierFlags0.useABSTRFreqDict);\n assertFalse(seqClassifierFlags0.purgeDatasets);\n assertFalse(seqClassifierFlags0.timitDatum);\n assertFalse(seqClassifierFlags0.addCapitalFeatures);\n assertEquals(0.0, seqClassifierFlags0.featureWeightThreshold, 0.01D);\n assertFalse(seqClassifierFlags0.makeConsistent);\n assertFalse(seqClassifierFlags0.useFeaturesC4gram);\n assertFalse(seqClassifierFlags0.useDictASBC2);\n assertEquals(2, seqClassifierFlags0.CRFwindow);\n assertFalse(seqClassifierFlags0.doFE);\n assertFalse(seqClassifierFlags0.useFeaturesCpC4gram);\n assertFalse(seqClassifierFlags0.useClassFeature);\n assertFalse(seqClassifierFlags0.useMsr);\n assertFalse(seqClassifierFlags0.useReverseAffix);\n assertEquals((-1), seqClassifierFlags0.purgeFeatures);\n assertFalse(seqClassifierFlags0.useIsURL);\n assertFalse(seqClassifierFlags0.useIsDateRange);\n assertEquals(0.1, seqClassifierFlags0.dualDecompInitialStepSizeAlignment, 0.01D);\n assertEquals(Double.POSITIVE_INFINITY, seqClassifierFlags0.searchGraphPrune, 0.01D);\n assertFalse(seqClassifierFlags0.usePrevSequences);\n assertFalse(seqClassifierFlags0.useGazFeatures);\n assertFalse(seqClassifierFlags0.intern);\n assertFalse(seqClassifierFlags0.useMidDotShape);\n assertFalse(seqClassifierFlags0.selfTest);\n assertFalse(seqClassifierFlags0.printProbs);\n assertEquals(0, seqClassifierFlags0.startEvaluateIters);\n assertTrue(seqClassifierFlags0.useCWSFeatures);\n assertFalse(seqClassifierFlags0.useCWSWordFeaturesBigram);\n assertEquals(1, seqClassifierFlags0.multiThreadGrad);\n assertFalse(seqClassifierFlags0.useRobustQN);\n assertTrue(seqClassifierFlags0.useInternal);\n assertFalse(seqClassifierFlags0.useDualDecomp);\n assertEquals(1, seqClassifierFlags0.terminateOnEvalImprovementNumOfEpoch);\n assertFalse(seqClassifierFlags0.useNegPKDict3);\n assertEquals(1.0, seqClassifierFlags0.alignDDAlpha, 0.01D);\n assertFalse(seqClassifierFlags0.useNegPKDict4);\n assertFalse(seqClassifierFlags0.dampDDStepSizeWithAlignmentProb);\n assertEquals(1, seqClassifierFlags0.featureThreshold);\n assertFalse(seqClassifierFlags0.useRule);\n assertFalse(seqClassifierFlags0.useNPHead);\n assertFalse(seqClassifierFlags0.useNegPKDict2);\n assertFalse(seqClassifierFlags0.usePhraseWordSpecialTags);\n assertEquals(0.0, seqClassifierFlags0.featureDiffThresh, 0.01D);\n assertEquals(1, seqClassifierFlags0.numDatasetsPerFile);\n assertFalse(seqClassifierFlags0.useBerkeleyCompetitivePosterior);\n assertFalse(seqClassifierFlags0.useObservedSequencesOnly);\n assertFalse(seqClassifierFlags0.useAltGazFeatures);\n assertFalse(seqClassifierFlags0.usePrevNextLemmas);\n assertFalse(seqClassifierFlags0.useChromaticSampling);\n assertFalse(seqClassifierFlags0.justify);\n assertFalse(seqClassifierFlags0.useCTBSuf1);\n assertEquals(1, seqClassifierFlags0.numRuns);\n assertFalse(seqClassifierFlags0.dualDecompNotBIO);\n assertEquals(0.0, seqClassifierFlags0.newgeneThreshold, 0.01D);\n assertFalse(seqClassifierFlags0.useDistSim);\n assertFalse(seqClassifierFlags0.useNext);\n assertFalse(seqClassifierFlags0.useUnknown);\n assertFalse(seqClassifierFlags0.iobWrapper);\n assertFalse(seqClassifierFlags0.useHKPre1);\n assertEquals(1, seqClassifierFlags0.bisequencePriorType);\n assertEquals(1.0, seqClassifierFlags0.adaptSigma, 0.01D);\n assertEquals(1.0, seqClassifierFlags0.lambdaEN, 0.01D);\n assertEquals((-1), seqClassifierFlags0.tuneSampleSize);\n assertEquals(4, seqClassifierFlags0.disjunctionWidth);\n \n String string0 = JSONObject.numberToString((Number) 0.95);\n assertNotNull(string0);\n assertEquals(\"0.95\", string0);\n \n JSONObject jSONObject0 = null;\n try {\n jSONObject0 = new JSONObject((String) null);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }","title":""},{"docid":"c9320d8ecea0c6b28e76578299b28838","score":"0.56498265","text":"@Test(timeout = 4000)\n public void test026() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n \n int[] intArray0 = new int[4];\n intArray0[0] = 0;\n intArray0[1] = 0;\n intArray0[2] = 0;\n intArray0[3] = 0;\n int[] intArray1 = new int[7];\n assertFalse(intArray1.equals((Object)intArray0));\n \n intArray1[0] = 1;\n intArray1[2] = 2;\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(1, 0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixHTML0);\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getRowCount());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\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(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\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 assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n \n resultMatrixGnuPlot0.m_PrintColNames = false;\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\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 assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n \n Enumeration enumeration0 = resultMatrixGnuPlot0.listOptions();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\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(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(enumeration0);\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\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 assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n \n String string0 = resultMatrixGnuPlot0.toStringSummary();\n assertEquals(\"-summary data not set-\", string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\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(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(string0);\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\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 assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixHTML0);\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(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixLatex0);\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\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 assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n \n resultMatrixLatex0.setShowStdDev(false);\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(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\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 assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n \n resultMatrixLatex0.setSize(4, 2);\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(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\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(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(4, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(4, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\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 assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixPlainText0);\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\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 maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n \n String string1 = resultMatrixPlainText0.toStringSummary();\n assertEquals(\"-summary data not set-\", string1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(string1);\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\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 maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n \n int int0 = resultMatrixPlainText0.getVisibleColCount();\n assertEquals(1, int0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\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 maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n \n boolean boolean0 = resultMatrixSignificance0.isMean(1);\n assertTrue(boolean0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n }","title":""},{"docid":"49abbb8831a83b05872247166227e7e1","score":"0.5642462","text":"@Test(timeout = 4000)\n public void test12() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n int[] intArray0 = new int[1];\n resultMatrixSignificance0.m_RankingDiff = intArray0;\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n intArray0[0] = 2;\n resultMatrixSignificance0.m_RankingWins = intArray0;\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n resultMatrixSignificance0.m_PrintRowNames = false;\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n resultMatrixSignificance0.m_PrintRowNames = true;\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n int int0 = resultMatrixSignificance0.getDefaultColNameWidth();\n assertEquals(0, int0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n int int1 = 1629;\n resultMatrixSignificance0.setMeanPrec(1629);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(1629, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.toStringKey();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }","title":""},{"docid":"22366e39fa285f349fa61e5566087c83","score":"0.56345505","text":"@Test(timeout = 4000)\n public void test107() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(93, 2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(93, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\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.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(93, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n \n resultMatrixGnuPlot0.clear();\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(93, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\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.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(93, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(93, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\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.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(93, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(93, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(93, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\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 assertFalse(resultMatrixLatex0.getShowStdDev());\n \n resultMatrixLatex0.setSize(1, 0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(93, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\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.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(93, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\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 assertFalse(resultMatrixLatex0.getShowStdDev());\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixPlainText0);\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n }","title":""},{"docid":"d0db26402ccd3ebc6e6bc36f11a0ba8f","score":"0.56292534","text":"@Test(timeout = 4000)\n public void test184() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n int[][] intArray0 = new int[1][0];\n resultMatrixHTML0.setRanking(intArray0);\n String string0 = resultMatrixHTML0.toStringKey();\n assertEquals(\"<table border=\\\"1\\\" cellpadding=\\\"3\\\" cellspacing=\\\"0\\\">\\n <tr><td colspan=\\\"2\\\"><b>Key</b></td></tr>\\n <tr><td><b>(1)</b></td><td>col0</td></tr>\\n</table>\\n\", string0);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n resultMatrixHTML0.getRevision();\n resultMatrixHTML0.setShowAverage(true);\n resultMatrixCSV0.getDisplayName();\n resultMatrixHTML0.m_NonSigWins = intArray0;\n String[] stringArray0 = new String[1];\n stringArray0[0] = \"*\";\n resultMatrixCSV0.m_RowNames = stringArray0;\n resultMatrixCSV0.setMean(0, 1, 1453.095346975402);\n int int1 = resultMatrixHTML0.getDisplayRow(0);\n assertEquals(0, int1);\n \n resultMatrixCSV0.getDefaultEnumerateColNames();\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n }","title":""},{"docid":"8366702b50dc2d5a204c1084d16a0158","score":"0.56254196","text":"@Test\n public void testStep36GetPreviousInteractionsCount() {\n System.out.println(\"testStep36GetPreviousInteractionsCount\");\n assertEquals(PREVIOUS_INTERACTIONS_COUNT, yearStat.getPreviousInteractionsCount()); \n }","title":""},{"docid":"93ac9728101c054ae027c344fd643c88","score":"0.5621292","text":"@Test(timeout = 4000)\n public void test156() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n int[][] intArray0 = new int[0][0];\n resultMatrixHTML0.setRanking(intArray0);\n resultMatrixHTML0.toStringKey();\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n resultMatrixCSV0.getDefaultRowNameWidth();\n resultMatrixHTML0.getRevision();\n resultMatrixHTML0.setShowAverage(true);\n resultMatrixCSV0.getMean(1949, 2);\n resultMatrixCSV0.getDisplayName();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixCSV1);\n resultMatrixPlainText0.setRanking(intArray0);\n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML(resultMatrixPlainText0);\n assertFalse(resultMatrixHTML1.getShowAverage());\n \n resultMatrixHTML0.getDisplayName();\n boolean boolean0 = resultMatrixHTML0.getShowAverage();\n assertTrue(boolean0);\n }","title":""},{"docid":"ae0fd722f5ce8ba2d3439750c71a154d","score":"0.5620511","text":"@Test(timeout = 4000)\n public void test264() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n resultMatrixLatex0.setStdDevPrec(784);\n resultMatrixLatex0.meanWidthTipText();\n assertEquals(784, resultMatrixLatex0.getStdDevPrec());\n }","title":""},{"docid":"f397e5afb93c650f44b4669309ec0bcb","score":"0.5619117","text":"@Test(timeout = 4000)\n public void test068() throws Throwable {\n String[] stringArray0 = new String[8];\n stringArray0[0] = \"r8K;#i\";\n stringArray0[1] = \"The number of decimals after the decimal point for the mean.\";\n stringArray0[2] = \"count-width\";\n stringArray0[3] = \"\";\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n \n resultMatrixSignificance0.addHeader(\"Original array with NaN (doubles): \", \"\");\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 537);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(537, resultMatrixCSV0.getRowCount());\n assertEquals(537, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n \n String string0 = resultMatrixCSV0.toStringKey();\n assertEquals(\"Key,\\n\", string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertNotNull(string0);\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(537, resultMatrixCSV0.getRowCount());\n assertEquals(537, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n }","title":""}],"string":"[\n {\n \"docid\": \"7b86a76e9e9f3d6b2d46e9aa1a5ecf24\",\n \"score\": \"0.6610834\",\n \"text\": \"@Test(timeout = 4000)\\n public void test05() throws Throwable {\\n Evaluation.handleCostOption(\\\"\\\", 0);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n textDirectoryLoader0.getOptions();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.equals(textDirectoryLoader0);\\n assertFalse(boolean0);\\n \\n double double0 = evaluation0.weightedAreaUnderPRC();\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, double0, 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b1a3dd464739fce5c17f09f75415f164\",\n \"score\": \"0.65965176\",\n \"text\": \"@Test(timeout = 4000)\\n public void test11() throws Throwable {\\n Evaluation.handleCostOption(\\\"\\\", 0);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n textDirectoryLoader0.setOutputFilename(false);\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n instances0.stream();\\n double double0 = evaluation0.numTruePositives(22);\\n assertEquals(0.0, double0, 0.01);\\n \\n double double1 = evaluation0.unclassified();\\n assertEquals(0.0, double1, 0.01);\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eefcb8163fe844db41b4e7f3007cf287\",\n \"score\": \"0.656132\",\n \"text\": \"@Test(timeout = 4000)\\n public void test24() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"h&uYpUC]>5dku/m]CS\\\");\\n discretize0.m_ClassIndex = 102;\\n double[][] doubleArray0 = new double[4][0];\\n byte[] byteArray0 = new byte[8];\\n byteArray0[0] = (byte)0;\\n byteArray0[2] = (byte)96;\\n byteArray0[3] = (byte)0;\\n byteArray0[5] = (byte) (-102);\\n byteArray0[6] = (byte)96;\\n byteArray0[7] = (byte) (-102);\\n FileSystemHandling.appendDataToFile((EvoSuiteFile) null, byteArray0);\\n double[] doubleArray1 = new double[9];\\n doubleArray1[0] = (double) (byte)0;\\n doubleArray1[3] = (double) 102;\\n doubleArray1[4] = (double) (byte)0;\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, \\\"h&uYpUC]>5dku/m]CS\\\");\\n doubleArray1[5] = (double) (byte) (-102);\\n doubleArray1[4] = 0.0;\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n doubleArray1[8] = (double) (byte)0;\\n doubleArray0[0] = doubleArray1;\\n doubleArray0[1] = doubleArray1;\\n discretize0.m_CutPoints = doubleArray0;\\n String string0 = discretize0.getBinRangesString((byte)0);\\n assertFalse(discretize0.getFindNumBins());\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(\\\"(-inf-0],(0-0],(0-0],(0-102],(102-0],(0--102],(-102-0],(0-0],(0-0],(0-inf)\\\", string0);\\n assertFalse(discretize0.getUseEqualFrequency());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cf2c237bf23fd6da172af8072a976609\",\n \"score\": \"0.64623564\",\n \"text\": \"@Test(timeout = 4000)\\n public void test32() throws Throwable {\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n Attribute attribute0 = new Attribute(\\\"+]S^<Ux5jl\\\");\\n Attribute attribute1 = attribute0.copy(\\\"Options:\\\\n\\\\t-list-packages <all | installed | available>\\\\n\\\\t-package-info <repository | installed | archive> <packageName | packageZip>\\\\n\\\\t-install-package <packageName | packageZip | URL> [version]\\\\n\\\\t-uninstall-package packageName\\\\n\\\\t-refresh-cache\\\");\\n attribute1.setWeight(0.0);\\n JRip jRip0 = new JRip();\\n AbstractClassifier.makeCopy(jRip0);\\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\\n double double0 = jRip_NominalAntd0.getCover();\\n assertEquals(Double.NaN, double0, 0.01);\\n \\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute1);\\n JRip.NumericAntd jRip_NumericAntd1 = (JRip.NumericAntd)jRip_NumericAntd0.copy();\\n assertEquals(Double.NaN, jRip_NumericAntd1.getSplitPoint(), 0.01);\\n assertNotSame(jRip_NumericAntd1, jRip_NumericAntd0);\\n assertEquals(Double.NaN, jRip_NumericAntd1.getAttrValue(), 0.01);\\n \\n JRip.NumericAntd jRip_NumericAntd2 = jRip0.new NumericAntd(attribute0);\\n assertEquals(Double.NaN, jRip_NumericAntd2.getAccu(), 0.01);\\n assertEquals(Double.NaN, jRip_NumericAntd2.getAccuRate(), 0.01);\\n assertEquals(0.0, jRip_NumericAntd2.getMaxInfoGain(), 0.01);\\n \\n int[] intArray0 = new int[6];\\n intArray0[0] = 4;\\n ArrayList<Attribute> arrayList0 = new ArrayList<Attribute>();\\n Instances instances0 = new Instances(\\\"@attribute\\\", arrayList0, 4);\\n jRip_RipperRule0.prune(instances0, true);\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n jRip_RipperRule0.hasAntds();\\n boolean boolean0 = jRip_RipperRule0.hasAntds();\\n assertFalse(jRip0.getDebug());\\n assertEquals(2, jRip0.getOptimizations());\\n assertTrue(jRip0.getUsePruning());\\n assertTrue(jRip0.getCheckErrorRate());\\n assertEquals(1L, jRip0.getSeed());\\n assertFalse(boolean0);\\n assertEquals(2.0, jRip0.getMinNo(), 0.01);\\n assertEquals((-1.0), jRip_RipperRule0.getConsequent(), 0.01);\\n assertEquals(3, jRip0.getFolds());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"694eb827d70bef7c00ac5f3cb96ce509\",\n \"score\": \"0.64099836\",\n \"text\": \"@Test(timeout = 4000)\\n public void test27() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n TestInstances testInstances1 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\" \\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.getRevision();\\n FilteredClassifier filteredClassifier0 = new FilteredClassifier();\\n evaluation0.setNumericPriorsFromBuffer();\\n evaluation0.rootMeanPriorSquaredError();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"333370c99aa8211840b41c23f6adb4f0\",\n \"score\": \"0.6365459\",\n \"text\": \"@Test(timeout = 4000)\\n public void test14() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n char[] charArray0 = new char[1];\\n charArray0[0] = 'F';\\n String string0 = evaluation0.num2ShortID((-2), charArray0, 8);\\n assertEquals(\\\" F\\\", string0);\\n \\n FileSystemHandling fileSystemHandling0 = new FileSystemHandling();\\n testInstances0.setNumRelationalString(82);\\n double double0 = evaluation0.pctIncorrect();\\n assertEquals(Double.NaN, double0, 0.01);\\n \\n String string1 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string1);\\n \\n double double1 = evaluation0.pctUnclassified();\\n double double2 = evaluation0.m_SumPriorEntropy;\\n double double3 = evaluation0.falsePositiveRate(32);\\n assertEquals(0.0, double3, 0.01);\\n \\n double double4 = evaluation0.coverageOfTestCasesByPredictedRegions();\\n double double5 = evaluation0.rootMeanSquaredError();\\n double double6 = evaluation0.SFEntropyGain();\\n assertNotEquals(double6, double5, 0.01);\\n \\n evaluation0.confusionMatrix();\\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(2, doubleArray0.length);\\n \\n double double7 = evaluation0.weightedRecall();\\n assertEquals(double7, double4, 0.01);\\n \\n System.setCurrentTimeMillis((-59L));\\n double double8 = evaluation0.weightedAreaUnderROC();\\n assertEquals(double8, double1, 0.01);\\n assertEquals(Double.NaN, double8, 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"382844f757fb037cc2beb2627cd31eae\",\n \"score\": \"0.63583136\",\n \"text\": \"@Test(timeout = 4000)\\n public void test10() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n GlobalInfoJavadoc globalInfoJavadoc0 = new GlobalInfoJavadoc();\\n globalInfoJavadoc0.setSilent(false);\\n REPTree rEPTree0 = new REPTree();\\n evaluation0.numTrueNegatives(0);\\n evaluation0.setDiscardPredictions(true);\\n evaluation0.SFPriorEntropy();\\n double double0 = evaluation0.numTruePositives(100000);\\n assertTrue(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, double0, 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"32737fd821a7ee1c0e22b7998c7d0f3b\",\n \"score\": \"0.6343976\",\n \"text\": \"@Test\\n public void testEntropy() {\\n System.out.println(\\\"entropy\\\");\\n MultivariateGaussianDistribution instance = new MultivariateGaussianDistribution(mu, Matrix.of(sigma));\\n assertEquals(2.954971, instance.entropy(), 1E-6);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6a26a8bb1673b720d51ed6f3e473201d\",\n \"score\": \"0.63034314\",\n \"text\": \"@Test(timeout = 4000)\\n public void test21() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\" \\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n VotedPerceptron votedPerceptron0 = new VotedPerceptron();\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n cVParameterSelection0.setClassifier(votedPerceptron0);\\n Evaluation.makeOptionString(votedPerceptron0, false);\\n Evaluation evaluation1 = new Evaluation(instances0);\\n Evaluation evaluation2 = new Evaluation(instances0);\\n Evaluation evaluation3 = new Evaluation(evaluation0.m_Header);\\n Instances instances1 = evaluation0.getHeader();\\n FileSystemHandling fileSystemHandling0 = new FileSystemHandling();\\n Evaluation evaluation4 = new Evaluation(instances1);\\n evaluation4.toCumulativeMarginDistributionString();\\n Evaluation evaluation5 = new Evaluation(instances0);\\n FileSystemHandling.appendStringToFile((EvoSuiteFile) null, (String) null);\\n evaluation5.meanAbsoluteError();\\n double double0 = evaluation3.SFMeanEntropyGain();\\n assertEquals(Double.NaN, double0, 0.01);\\n \\n evaluation3.weightedMatthewsCorrelation();\\n String string0 = evaluation4.toClassDetailsString((String) null);\\n assertEquals(\\\"null\\\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\\\n 0 0 0 0 0 0 ? ? class1\\\\n 0 0 0 0 0 0 ? ? class2\\\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\\\n\\\", string0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"25440b7e4a7306b1e2136558aa282480\",\n \"score\": \"0.626223\",\n \"text\": \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n char[] charArray0 = new char[1];\\n charArray0[0] = 'F';\\n String string0 = evaluation0.num2ShortID((-2), charArray0, 8);\\n assertEquals(\\\" F\\\", string0);\\n \\n FileSystemHandling fileSystemHandling0 = new FileSystemHandling();\\n testInstances0.setNumRelationalString(82);\\n double double0 = evaluation0.pctIncorrect();\\n String string1 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string1);\\n \\n double double1 = evaluation0.pctUnclassified();\\n double double2 = evaluation0.m_SumPriorEntropy;\\n double double3 = evaluation0.falsePositiveRate(32);\\n assertEquals(0.0, double3, 0.01);\\n \\n double double4 = evaluation0.coverageOfTestCasesByPredictedRegions();\\n assertEquals(double4, double1, 0.01);\\n \\n double double5 = evaluation0.rootMeanSquaredError();\\n double double6 = evaluation0.SFEntropyGain();\\n assertNotEquals(double6, double0, 0.01);\\n \\n evaluation0.confusionMatrix();\\n evaluation0.confusionMatrix();\\n double double7 = evaluation0.weightedRecall();\\n assertNotEquals(double7, double3, 0.01);\\n assertEquals(double7, double5, 0.01);\\n \\n System.setCurrentTimeMillis((-59L));\\n Evaluation evaluation1 = new Evaluation(evaluation0.m_Header);\\n evaluation0.rootRelativeSquaredError();\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5947b8d06f2a5234b3f399d9747aee8b\",\n \"score\": \"0.62380314\",\n \"text\": \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"X]..?f\\\");\\n discretize0.setAttributeIndices(\\\"X]..?f\\\");\\n discretize0.m_UseEqualFrequency = true;\\n discretize0.m_MakeBinary = true;\\n discretize0.setDesiredWeightOfInstancesPerInterval((-1.0));\\n discretize0.m_DesiredWeightOfInstancesPerInterval = 1.7976931348623157E308;\\n discretize0.getCapabilities();\\n discretize0.binsTipText();\\n discretize0.getOptions();\\n discretize0.getBinRangesString((-1));\\n discretize0.getRevision();\\n assertEquals(1.7976931348623157E308, discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0dd161add24da8f2c313321aae6ba34c\",\n \"score\": \"0.6225972\",\n \"text\": \"@Test(timeout = 4000)\\n public void test18() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"g\\\");\\n discretize0.setOutputFormat();\\n double[][] doubleArray0 = new double[2][0];\\n double[] doubleArray1 = new double[9];\\n doubleArray1[0] = 0.0;\\n doubleArray1[1] = 0.0;\\n doubleArray1[2] = (-1803.2);\\n doubleArray1[3] = 1726.34;\\n doubleArray1[4] = 1316.19;\\n doubleArray1[5] = 0.0;\\n doubleArray1[6] = (-8.99122234509242);\\n doubleArray1[7] = 1.7976931348623157E308;\\n doubleArray1[8] = (-1.7976931348623157E308);\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[4];\\n doubleArray2[0] = 1.7976931348623157E308;\\n doubleArray2[1] = 1726.34;\\n doubleArray2[2] = (-1803.2);\\n doubleArray2[3] = 0.0;\\n doubleArray0[1] = doubleArray2;\\n discretize0.m_CutPoints = doubleArray0;\\n // Undeclared exception!\\n try { \\n discretize0.getBinRangesString((-1952257859));\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // -1952257859\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"191e5577548f9c6b9e31235268440f94\",\n \"score\": \"0.61854786\",\n \"text\": \"@Test(timeout = 4000)\\n public void test00() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"ma6:[z8W(%2_++X[5\\\");\\n discretize0.setInvertSelection(false);\\n String[] stringArray0 = new String[7];\\n stringArray0[0] = \\\"ma6:[z8W(%2_++X[5\\\";\\n stringArray0[1] = \\\"ma6:[z8W(%2_++X[5\\\";\\n stringArray0[2] = \\\"ma6:[z8W(%2_++X[5\\\";\\n stringArray0[3] = \\\"ma6:[z8W(%2_++X[5\\\";\\n stringArray0[4] = \\\"ma6:[z8W(%2_++X[5\\\";\\n stringArray0[5] = \\\"pv<X4\\\\\\\"T2E#((:rxF/f!\\\";\\n stringArray0[6] = \\\"ma6:[z8W(%2_++X[5\\\";\\n Discretize.main(stringArray0);\\n discretize0.invertSelectionTipText();\\n double double0 = 44.9043;\\n discretize0.m_DesiredWeightOfInstancesPerInterval = 44.9043;\\n discretize0.findNumBinsTipText();\\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning(3404);\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"35cd538a6dfa956e9edc60a441a1df05\",\n \"score\": \"0.61382055\",\n \"text\": \"@Test(timeout = 4000)\\n public void test03() throws Throwable {\\n Evaluation.handleCostOption(\\\"\\\", 0);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Vector<NaiveBayesMultinomial> vector0 = new Vector<NaiveBayesMultinomial>();\\n instances0.removeAll(vector0);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.equals(textDirectoryLoader0);\\n boolean boolean0 = evaluation0.equals(vector0);\\n assertFalse(boolean0);\\n \\n double double0 = evaluation0.numTrueNegatives(2);\\n assertEquals(0.0, double0, 0.01);\\n \\n double double1 = evaluation0.SFPriorEntropy();\\n assertEquals(0.0, double1, 0.01);\\n \\n double double2 = evaluation0.numTruePositives(117);\\n assertEquals(double2, double0, 0.01);\\n assertEquals(0.0, double2, 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"02cd166fc77e07e5cbbae2950ec6854c\",\n \"score\": \"0.6100147\",\n \"text\": \"@Test\\n\\t@Override\\n\\tpublic void testNormalDistribution() throws Exception {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"70def4ca57bcb2db9400b4ca2e71db51\",\n \"score\": \"0.6097242\",\n \"text\": \"@Test(timeout = 4000)\\n public void test09() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n VotedPerceptron votedPerceptron0 = new VotedPerceptron();\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n cVParameterSelection0.setClassifier(votedPerceptron0);\\n Evaluation.makeOptionString(votedPerceptron0, false);\\n Evaluation evaluation1 = new Evaluation(instances0);\\n evaluation1.getHeader();\\n Evaluation evaluation2 = new Evaluation(instances0);\\n String string0 = evaluation2.toMatrixString();\\n assertEquals(\\\"=== Confusion Matrix ===\\\\n\\\\n a b <-- classified as\\\\n 0 0 | a = class1\\\\n 0 0 | b = class2\\\\n\\\", string0);\\n \\n double double0 = evaluation1.meanAbsoluteError();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation1.SFEntropyGain(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"56c0fdd9541b914fd81210a6523dc3dd\",\n \"score\": \"0.60944885\",\n \"text\": \"@Test(timeout = 4000)\\n public void test08() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n VotedPerceptron votedPerceptron0 = new VotedPerceptron();\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n cVParameterSelection0.setClassifier(votedPerceptron0);\\n Evaluation.makeOptionString(votedPerceptron0, false);\\n Evaluation evaluation1 = new Evaluation(instances0);\\n evaluation1.getHeader();\\n Evaluation evaluation2 = new Evaluation(instances0);\\n String string0 = evaluation1.toSummaryString(false);\\n assertEquals(\\\"=== Summary ===\\\\n\\\\nTotal Number of Instances 0 \\\\n\\\", string0);\\n \\n double double0 = evaluation1.meanAbsoluteError();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation1.unclassified(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ec3d918951ffe570af0b85d0171fd9e2\",\n \"score\": \"0.6091216\",\n \"text\": \"@Test(timeout = 4000)\\n public void test25() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n char[] charArray0 = new char[1];\\n charArray0[0] = 'F';\\n FileSystemHandling.shouldThrowIOException((EvoSuiteFile) null);\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n ZeroR zeroR0 = new ZeroR();\\n cVParameterSelection0.setClassifier(zeroR0);\\n MultiClassClassifier multiClassClassifier0 = new MultiClassClassifier();\\n evaluation0.KBRelativeInformation();\\n System.setCurrentTimeMillis((-1L));\\n Evaluation evaluation1 = new Evaluation(instances0);\\n evaluation0.toClassDetailsString(\\\".arff\\\");\\n evaluation1.trueNegativeRate(474);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93e42410659568fd1ee4adfab391529f\",\n \"score\": \"0.60730636\",\n \"text\": \"int entropySize() {\\n\\t\\t return 8;\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b7fa1c6274727df4089bab004ec17276\",\n \"score\": \"0.60275656\",\n \"text\": \"@Test(timeout = 4000)\\n public void test27() throws Throwable {\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n Attribute attribute0 = new Attribute(\\\"+]S^<Ux5jl\\\");\\n Attribute attribute1 = attribute0.copy(\\\"Options:\\\\n\\\\t-list-packages <all | installed | available>\\\\n\\\\t-package-info <repository | installed | archive> <packageName | packageZip>\\\\n\\\\t-install-package <packageName | packageZip | URL> [version]\\\\n\\\\t-uninstall-package packageName\\\\n\\\\t-refresh-cache\\\");\\n attribute1.setWeight(0.0);\\n JRip jRip0 = new JRip();\\n AbstractClassifier.makeCopy(jRip0);\\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\\n assertEquals((-1.0), jRip_RipperRule0.getConsequent(), 0.01);\\n \\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\\n FileSystemHandling.appendLineToFile((EvoSuiteFile) null, \\\"date\\\");\\n double double0 = jRip_NominalAntd0.getCover();\\n assertEquals(Double.NaN, double0, 0.01);\\n \\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute1);\\n JRip.NumericAntd jRip_NumericAntd1 = (JRip.NumericAntd)jRip_NumericAntd0.copy();\\n assertEquals(Double.NaN, jRip_NumericAntd1.getAttrValue(), 0.01);\\n assertEquals(Double.NaN, jRip_NumericAntd1.getSplitPoint(), 0.01);\\n assertNotSame(jRip_NumericAntd1, jRip_NumericAntd0);\\n \\n JRip.NumericAntd jRip_NumericAntd2 = jRip0.new NumericAntd(attribute0);\\n int[] intArray0 = new int[6];\\n intArray0[0] = 4;\\n intArray0[1] = 2;\\n intArray0[2] = 3;\\n intArray0[4] = 4;\\n intArray0[5] = 1;\\n FileSystemHandling.setPermissions((EvoSuiteFile) null, true, false, true);\\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(1, intArray0, 2);\\n boolean boolean0 = jRip_NumericAntd2.covers(binarySparseInstance0);\\n assertTrue(boolean0);\\n \\n System.setCurrentTimeMillis(0L);\\n String string0 = jRip_NominalAntd0.getRevision();\\n assertEquals(Double.NaN, jRip_NominalAntd0.getAccuRate(), 0.01);\\n assertEquals(\\\"8118\\\", string0);\\n assertEquals(Double.NaN, jRip_NominalAntd0.getAccu(), 0.01);\\n assertEquals(0.0, jRip_NominalAntd0.getMaxInfoGain(), 0.01);\\n \\n long long0 = jRip0.getSeed();\\n assertEquals(2.0, jRip0.getMinNo(), 0.01);\\n assertTrue(jRip0.getUsePruning());\\n assertEquals(2, jRip0.getOptimizations());\\n assertTrue(jRip0.getCheckErrorRate());\\n assertEquals(3, jRip0.getFolds());\\n assertEquals(1L, long0);\\n assertFalse(jRip0.getDebug());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d541ad7b407e419be986740bd2f3411\",\n \"score\": \"0.6020494\",\n \"text\": \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n char[] charArray0 = new char[1];\\n charArray0[0] = 'F';\\n String string0 = evaluation0.num2ShortID((-2), charArray0, 8);\\n assertEquals(\\\" F\\\", string0);\\n \\n FileSystemHandling fileSystemHandling0 = new FileSystemHandling();\\n testInstances0.setNumRelationalString(82);\\n double double0 = evaluation0.pctIncorrect();\\n String string1 = evaluation0.toSummaryString((String) null, true);\\n assertEquals(\\\"null\\\\nTotal Number of Instances 0 \\\\n\\\", string1);\\n \\n double double1 = evaluation0.pctUnclassified();\\n assertEquals(Double.NaN, double1, 0.01);\\n \\n double double2 = evaluation0.m_SumPriorEntropy;\\n evaluation0.falsePositiveRate(32);\\n double double3 = evaluation0.coverageOfTestCasesByPredictedRegions();\\n assertEquals(double3, double0, 0.01);\\n \\n Instances.test(testInstances0.DEFAULT_WORDS);\\n evaluation0.rootMeanSquaredError();\\n double double4 = evaluation0.m_ConfLevel;\\n assertEquals(0.95, double4, 0.01);\\n \\n evaluation0.confusionMatrix();\\n evaluation0.confusionMatrix();\\n Evaluation evaluation1 = new Evaluation(instances0);\\n evaluation0.useNoPriors();\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ee1e5156e314abd32f5e33bf1610678c\",\n \"score\": \"0.6000778\",\n \"text\": \"public TestTransferEntropyBinaryDiscrete invoke() {\\n\\n int arrayLengths = 100;\\n RandomGenerator rg = new RandomGenerator();\\n\\n// Generate some random binary data:\\n sourceArray = rg.generateRandomInts(arrayLengths, 2);\\n int[] destArray = new int[arrayLengths];\\n destArray[0] = 0;\\n System.arraycopy(sourceArray, 0, destArray, 1, arrayLengths - 1);\\n sourceArray2 = rg.generateRandomInts(arrayLengths, 2);\\n\\n //打印两个原始Array,取值是二元的，0-1,即只有0-1两种状态\\n for(int i=0;i<sourceArray2.length;i++){\\n System.out.println(\\\"the\\\"+i+\\\"element is_\\\"+\\\"sourceArray:\\\"+sourceArray[i]+\\\" sourceArray2:\\\"+sourceArray2[i]+\\\"\\\\n\\\");\\n }\\n\\n// Create a TE calculator and run it:\\n TransferEntropyCalculatorDiscrete teCalc=\\n new TransferEntropyCalculatorDiscrete(2, 1);\\n teCalc.initialise();\\n teCalc.addObservations(sourceArray, destArray);\\n double result = teCalc.computeAverageLocalOfObservations();\\n System.out.printf(\\\"For copied source, result should be close to 1 bit : %.3f bits\\\\n\\\", result);\\n teCalc.initialise();\\n teCalc.addObservations(sourceArray2, destArray);\\n double result2 = teCalc.computeAverageLocalOfObservations();\\n System.out.printf(\\\"For random source, result should be close to 0 bits: %.3f bits\\\\n\\\", result2);\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"06a27e3f908ee4d863aa9b3b7f95aec6\",\n \"score\": \"0.5985141\",\n \"text\": \"public Double entropy() {\\n double entropy = 0.0;\\n HashMap<Label, Double> percentage = labelPercentage();\\n for (HashMap.Entry<Label, Double> entry : percentage.entrySet()) {\\n double proportion = entry.getValue() / 100;\\n entropy += -1 * (proportion) * Math.log(proportion) / Math.log(percentage.size());\\n }\\n return (int) (entropy * 100) / 100.0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6936126c5485091cee9e10ea8238d3bb\",\n \"score\": \"0.59765214\",\n \"text\": \"@Test(timeout = 4000)\\n public void test095() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n \\n boolean boolean0 = true;\\n resultMatrixSignificance0.m_PrintColNames = true;\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n \\n resultMatrixSignificance0.setPrintColNames(true);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n \\n String string0 = resultMatrixSignificance0.removeFilterName(\\\"|oY.$SBwz*`$$;RV\\\");\\n assertEquals(\\\"|oY.$SBwz*`$$;RV\\\", string0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(string0);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n \\n String[] stringArray0 = new String[9];\\n stringArray0[0] = \\\"|oY.$SBwz*`$$;RV\\\";\\n stringArray0[1] = \\\"*\\\";\\n stringArray0[2] = \\\"*\\\";\\n stringArray0[3] = \\\" \\\";\\n stringArray0[4] = \\\"|oY.$SBwz*`$$;RV\\\";\\n stringArray0[5] = \\\"|oY.$SBwz*`$$;RV\\\";\\n stringArray0[6] = \\\")\\\";\\n stringArray0[7] = \\\"|oY.$SBwz*`$$;RV\\\";\\n stringArray0[8] = \\\"v\\\";\\n resultMatrixSignificance0.m_RowNames = stringArray0;\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(9, resultMatrixSignificance0.getRowCount());\\n \\n String string1 = resultMatrixSignificance0.removeFilterName(\\\"|oY.$SBwz*`$$;RV\\\");\\n assertEquals(\\\"|oY.$SBwz*`$$;RV\\\", string1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(string1.equals((Object)string0));\\n assertNotNull(string1);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(9, resultMatrixSignificance0.getRowCount());\\n \\n resultMatrixSignificance0.clearHeader();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(9, resultMatrixSignificance0.getRowCount());\\n \\n resultMatrixSignificance0.clearSummary();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(9, resultMatrixSignificance0.getRowCount());\\n \\n String string2 = resultMatrixSignificance0.globalInfo();\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", string2);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(string2.equals((Object)string0));\\n assertFalse(string2.equals((Object)string1));\\n assertNotNull(string2);\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(9, resultMatrixSignificance0.getRowCount());\\n \\n int int0 = 1725;\\n // Undeclared exception!\\n try { \\n resultMatrixSignificance0.toString();\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa5a5c2f5a5faae03c0cece90ff79b14\",\n \"score\": \"0.59457105\",\n \"text\": \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"X]..?f\\\");\\n discretize0.setAttributeIndices(\\\"X]..?f\\\");\\n assertFalse(discretize0.getMakeBinary());\\n \\n discretize0.m_MakeBinary = true;\\n discretize0.binsTipText();\\n discretize0.m_DefaultCols = \\\"Optimize number of bins using leave-one-out estimate\\\\n\\\\tof estimated entropy (for equal-width discretization).\\\\n\\\\tIf this is set then the -B option will be ignored.\\\";\\n String[] stringArray0 = discretize0.getOptions();\\n discretize0.getBinRangesString((-1));\\n Discretize.main(stringArray0);\\n assertTrue(discretize0.getMakeBinary());\\n assertEquals(10, discretize0.getBins());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a704bc7a652b51012e82c4fec7d817be\",\n \"score\": \"0.59402114\",\n \"text\": \"@Test(timeout = 4000)\\n public void test19() throws Throwable {\\n JRip jRip0 = new JRip();\\n jRip0.toString();\\n Attribute attribute0 = new Attribute(\\\"{\\\", 2287);\\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\\n double[] doubleArray0 = new double[4];\\n doubleArray0[0] = (double) 1;\\n doubleArray0[1] = (double) 4;\\n doubleArray0[2] = 559.9;\\n doubleArray0[3] = (double) 2;\\n SparseInstance sparseInstance0 = new SparseInstance(559.9, doubleArray0);\\n jRip_NominalAntd0.covers(sparseInstance0);\\n jRip_NominalAntd0.getAttrValue();\\n Attribute attribute1 = jRip_NominalAntd0.getAttr();\\n attribute1.setWeight(0.0);\\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\\n jRip_RipperRule0.setConsequent((-945.575));\\n jRip0.listOptions();\\n jRip0.listOptions();\\n jRip_RipperRule0.size();\\n jRip0.getFolds();\\n CoverTree coverTree0 = new CoverTree();\\n try { \\n coverTree0.kNearestNeighbours(sparseInstance0, 0);\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a954f06f3f4dd02370ff53382468bed0\",\n \"score\": \"0.59329957\",\n \"text\": \"@Test(timeout = 4000)\\n public void test251() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n resultMatrixLatex0.clearHeader();\\n ResultMatrixSignificance.main((String[]) null);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f2bde2ce17f198c8af20c040fa99f11\",\n \"score\": \"0.5931202\",\n \"text\": \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Evaluation.handleCostOption(\\\"\\\", 0);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n String[] stringArray0 = new String[3];\\n stringArray0[0] = \\\"@relation\\\";\\n stringArray0[1] = \\\".arff\\\";\\n stringArray0[2] = \\\"@data\\\";\\n textDirectoryLoader0.setOptions(stringArray0);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.equals(textDirectoryLoader0);\\n assertFalse(boolean0);\\n \\n double double0 = evaluation0.rootMeanSquaredError();\\n assertEquals(Double.NaN, double0, 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6ad79b0b3404cfb7ae0f7655a6afcab7\",\n \"score\": \"0.59186494\",\n \"text\": \"@Test(timeout = 4000)\\n public void test11() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n VotedPerceptron votedPerceptron0 = new VotedPerceptron();\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n cVParameterSelection0.setClassifier(votedPerceptron0);\\n Evaluation.makeOptionString(votedPerceptron0, false);\\n Evaluation evaluation1 = new Evaluation(instances0);\\n evaluation1.getHeader();\\n Evaluation evaluation2 = new Evaluation(instances0);\\n evaluation2.m_ClassIsNominal = false;\\n evaluation0.toCumulativeMarginDistributionString();\\n evaluation1.meanAbsoluteError();\\n evaluation2.setDiscardPredictions(false);\\n evaluation1.pctCorrect();\\n Random.setNextRandom(816);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4e71bf108a9dcf31e44cd4d0c42be044\",\n \"score\": \"0.59150976\",\n \"text\": \"@Test(timeout = 4000)\\n public void test115() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixPlainText0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n \\n resultMatrixSignificance0.WIN_STRING = \\\" \\\";\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n \\n boolean boolean0 = resultMatrixGnuPlot0.getPrintRowNames();\\n assertTrue(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n \\n boolean[] booleanArray0 = new boolean[5];\\n booleanArray0[0] = true;\\n booleanArray0[1] = true;\\n booleanArray0[2] = true;\\n booleanArray0[3] = true;\\n booleanArray0[4] = true;\\n resultMatrixPlainText0.m_ColHidden = booleanArray0;\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n \\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixHTML0);\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n \\n String string0 = resultMatrixHTML0.getDisplayName();\\n assertEquals(\\\"HTML\\\", string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(string0);\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n \\n boolean boolean1 = resultMatrixSignificance0.isStdDev(0);\\n assertFalse(boolean1);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(boolean1 == boolean0);\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd49e37e0d2d6f02b5f1a19c2031ce9f\",\n \"score\": \"0.5909273\",\n \"text\": \"@Test(timeout = 4000)\\n public void test62() throws Throwable {\\n CostMatrix costMatrix0 = Evaluation.handleCostOption(\\\"\\\", 0);\\n assertNull(costMatrix0);\\n \\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n assertEquals(\\\"Whether to store the filename in an additional attribute.\\\", textDirectoryLoader0.outputFilenameTipText());\\n assertFalse(textDirectoryLoader0.getOutputFilename());\\n assertEquals(\\\"Whether to print additional debug information to the console.\\\", textDirectoryLoader0.debugTipText());\\n assertEquals(\\\"The character set to use when reading text files (eg UTF-8) - leave blank to use the default character set.\\\", textDirectoryLoader0.charSetTipText());\\n assertEquals(\\\"Directories\\\", textDirectoryLoader0.getFileDescription());\\n assertFalse(textDirectoryLoader0.getDebug());\\n assertEquals(\\\"\\\", textDirectoryLoader0.getCharSet());\\n assertEquals(\\\"Loads all text files in a directory and uses the subdirectory names as class labels. The content of the text files will be stored in a String attribute, the filename can be stored as well.\\\", textDirectoryLoader0.globalInfo());\\n assertNotNull(textDirectoryLoader0);\\n \\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n assertEquals(\\\"Whether to store the filename in an additional attribute.\\\", textDirectoryLoader0.outputFilenameTipText());\\n assertFalse(textDirectoryLoader0.getOutputFilename());\\n assertEquals(\\\"Whether to print additional debug information to the console.\\\", textDirectoryLoader0.debugTipText());\\n assertEquals(\\\"The character set to use when reading text files (eg UTF-8) - leave blank to use the default character set.\\\", textDirectoryLoader0.charSetTipText());\\n assertEquals(\\\"Directories\\\", textDirectoryLoader0.getFileDescription());\\n assertFalse(textDirectoryLoader0.getDebug());\\n assertEquals(\\\"\\\", textDirectoryLoader0.getCharSet());\\n assertEquals(\\\"Loads all text files in a directory and uses the subdirectory names as class labels. The content of the text files will be stored in a String attribute, the filename can be stored as well.\\\", textDirectoryLoader0.globalInfo());\\n assertEquals(\\\"_home_ubuntu_evosuite_readability_gen_projects_107_weka\\\", instances0.relationName());\\n assertEquals(0, instances0.numClasses());\\n assertEquals(1, instances0.classIndex());\\n assertEquals(0.0, instances0.sumOfWeights(), 0.01);\\n assertEquals(0, instances0.size());\\n assertTrue(instances0.checkForStringAttributes());\\n assertEquals(0, instances0.numInstances());\\n assertEquals(2, instances0.numAttributes());\\n assertNotNull(instances0);\\n \\n CostSensitiveClassifier costSensitiveClassifier0 = new CostSensitiveClassifier();\\n assertEquals(1, CostSensitiveClassifier.MATRIX_ON_DEMAND);\\n assertEquals(2, CostSensitiveClassifier.MATRIX_SUPPLIED);\\n assertFalse(costSensitiveClassifier0.getDebug());\\n assertEquals(\\\"The random number seed to be used.\\\", costSensitiveClassifier0.seedTipText());\\n assertEquals(\\\"A metaclassifier that makes its base classifier cost-sensitive. Two methods can be used to introduce cost-sensitivity: reweighting training instances according to the total cost assigned to each class; or predicting the class with minimum expected misclassification cost (rather than the most likely class). Performance can often be improved by using a Bagged classifier to improve the probability estimates of the base classifier.\\\", costSensitiveClassifier0.globalInfo());\\n assertEquals(\\\"If set to true, classifier may output additional info to the console.\\\", costSensitiveClassifier0.debugTipText());\\n assertEquals(1, costSensitiveClassifier0.getSeed());\\n assertEquals(0, costSensitiveClassifier0.graphType());\\n assertEquals(\\\"Sets the cost matrix explicitly. This matrix is used if the costMatrixSource property is set to \\\\\\\"Supplied\\\\\\\".\\\", costSensitiveClassifier0.costMatrixTipText());\\n assertEquals(\\\"The base classifier to be used.\\\", costSensitiveClassifier0.classifierTipText());\\n assertEquals(\\\"Sets the directory where cost files are loaded from. This option is used when the costMatrixSource is set to \\\\\\\"On Demand\\\\\\\".\\\", costSensitiveClassifier0.onDemandDirectoryTipText());\\n assertFalse(costSensitiveClassifier0.getMinimizeExpectedCost());\\n assertEquals(\\\"Sets whether the minimum expected cost criteria will be used. If this is false, the training data will be reweighted according to the costs assigned to each class. If true, the minimum expected cost criteria will be used.\\\", costSensitiveClassifier0.minimizeExpectedCostTipText());\\n assertNotNull(costSensitiveClassifier0);\\n \\n TestInstances testInstances0 = new TestInstances();\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(0, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getClassType());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertNotNull(testInstances0);\\n \\n Instances instances1 = testInstances0.generate();\\n assertFalse(instances1.equals((Object)instances0));\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(0, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getClassType());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(20, instances1.numInstances());\\n assertEquals(2, instances1.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances1.relationName());\\n assertEquals(1, instances1.classIndex());\\n assertEquals(2, instances1.numClasses());\\n assertFalse(instances1.checkForStringAttributes());\\n assertEquals(20.0, instances1.sumOfWeights(), 0.01);\\n assertEquals(20, instances1.size());\\n assertNotNull(instances1);\\n assertNotSame(instances1, instances0);\\n \\n Evaluation evaluation0 = new Evaluation(instances1, (CostMatrix) null);\\n assertFalse(instances1.equals((Object)instances0));\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(0, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getClassType());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(20, instances1.numInstances());\\n assertEquals(2, instances1.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances1.relationName());\\n assertEquals(1, instances1.classIndex());\\n assertEquals(2, instances1.numClasses());\\n assertFalse(instances1.checkForStringAttributes());\\n assertEquals(20.0, instances1.sumOfWeights(), 0.01);\\n assertEquals(20, instances1.size());\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedFMeasure(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedFalseNegativeRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedRecall(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedTruePositiveRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedPrecision(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedTrueNegativeRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedFalsePositiveRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(1.0, evaluation0.kappa(), 0.01);\\n assertNotNull(evaluation0);\\n \\n String string0 = evaluation0.toClassDetailsString(\\\"@relation\\\");\\n assertFalse(instances1.equals((Object)instances0));\\n assertEquals(\\\"@relation\\\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\\\n 0 0 0 0 0 0 ? ? class1\\\\n 0 0 0 0 0 0 ? ? class2\\\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\\\n\\\", string0);\\n assertEquals((-2), TestInstances.NO_CLASS);\\n assertEquals((-1), TestInstances.CLASS_IS_LAST);\\n assertEquals(0, testInstances0.getNumRelational());\\n assertEquals(2, testInstances0.getNumClasses());\\n assertEquals(0, testInstances0.getNumNumeric());\\n assertEquals(0, testInstances0.getNumRelationalDate());\\n assertEquals(2, testInstances0.getNumAttributes());\\n assertEquals(2, testInstances0.getNumRelationalNominalValues());\\n assertEquals(0, testInstances0.getNumString());\\n assertEquals((-1), testInstances0.getClassIndex());\\n assertFalse(testInstances0.getNoClass());\\n assertEquals(0, testInstances0.getNumRelationalString());\\n assertEquals(0, testInstances0.getNumDate());\\n assertEquals(2, testInstances0.getNumNominalValues());\\n assertEquals(1, testInstances0.getNumNominal());\\n assertEquals(0, testInstances0.getNumRelationalNumeric());\\n assertEquals(\\\" \\\", testInstances0.getWordSeparators());\\n assertEquals(\\\"Testdata\\\", testInstances0.getRelation());\\n assertEquals(1, testInstances0.getClassType());\\n assertEquals(20, testInstances0.getNumInstances());\\n assertFalse(testInstances0.getMultiInstance());\\n assertEquals(1, testInstances0.getNumRelationalNominal());\\n assertEquals(1, testInstances0.getSeed());\\n assertEquals(10, testInstances0.getNumInstancesRelational());\\n assertEquals(20, instances1.numInstances());\\n assertEquals(2, instances1.numAttributes());\\n assertEquals(\\\"Testdata\\\", instances1.relationName());\\n assertEquals(1, instances1.classIndex());\\n assertEquals(2, instances1.numClasses());\\n assertFalse(instances1.checkForStringAttributes());\\n assertEquals(20.0, instances1.sumOfWeights(), 0.01);\\n assertEquals(20, instances1.size());\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanPriorSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.unclassified(), 0.01);\\n assertEquals(Double.NaN, evaluation0.relativeAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootRelativeSquaredError(), 0.01);\\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedFMeasure(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedFalseNegativeRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctCorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedRecall(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.rootMeanSquaredError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctUnclassified(), 0.01);\\n assertFalse(evaluation0.getDiscardPredictions());\\n assertEquals(0.0, evaluation0.correct(), 0.01);\\n assertEquals(0.0, evaluation0.incorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedTruePositiveRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.sizeOfPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.errorRate(), 0.01);\\n assertEquals(0.0, evaluation0.totalCost(), 0.01);\\n assertEquals(Double.NaN, evaluation0.avgCost(), 0.01);\\n assertEquals(0.0, evaluation0.numInstances(), 0.01);\\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedPrecision(), 0.01);\\n assertEquals(Double.NaN, evaluation0.coverageOfTestCasesByPredictedRegions(), 0.01);\\n assertEquals(Double.NaN, evaluation0.meanPriorAbsoluteError(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanEntropyGain(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedTrueNegativeRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.pctIncorrect(), 0.01);\\n assertEquals(Double.NaN, evaluation0.weightedFalsePositiveRate(), 0.01);\\n assertEquals(Double.NaN, evaluation0.SFMeanPriorEntropy(), 0.01);\\n assertEquals(1.0, evaluation0.kappa(), 0.01);\\n assertNotNull(string0);\\n assertNotSame(instances1, instances0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c718181e085f5ff4588f7c415dc7c5f4\",\n \"score\": \"0.5906713\",\n \"text\": \"@Test(timeout = 4000)\\n public void test07() throws Throwable {\\n Evaluation.handleCostOption(\\\"\\\", 0);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation0 = new Evaluation(instances0);\\n boolean boolean0 = evaluation0.equals(textDirectoryLoader0);\\n assertFalse(boolean0);\\n \\n double[][] doubleArray0 = evaluation0.confusionMatrix();\\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\\n assertEquals(0, doubleArray0.length);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d56f39c755f6f02e0e0b033c42ae7830\",\n \"score\": \"0.59035444\",\n \"text\": \"public static void main(String... args) {\\n for(int size = 1; size < 1_000_000; size *= 10) {\\n // for(int size = 1; size < 1_000_000; size = (size < 100) ? (size + 1) : (int) (size * 1.1)) {\\n Data best = null;\\n for (int segmentLengthBits = 3; segmentLengthBits < 14; segmentLengthBits++) {\\n int segmentLength = 1 << segmentLengthBits;\\n if (segmentLength > size) {\\n break;\\n }\\n for(double load = 0.85; load > 0.3; load-= 0.05) {\\n Data d = getProbability(size, segmentLengthBits, load, best);\\n if (d != null && d.p > 0.85) {\\n if (best == null || d.bitsPerKey < best.bitsPerKey) {\\n best = d;\\n }\\n break;\\n }\\n }\\n }\\n if (best != null) {\\n System.out.println(best);\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dbfcf3cba7ca75a6483c014e391498ff\",\n \"score\": \"0.5900935\",\n \"text\": \"@Test(timeout = 4000)\\n public void test08() throws Throwable {\\n int int0 = 0;\\n Evaluation.handleCostOption(\\\"\\\", 0);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n EvoSuiteFile evoSuiteFile0 = new EvoSuiteFile(\\\"/home/ubuntu/evosuite_readability_gen/projects/107_weka\\\");\\n byte[] byteArray0 = new byte[0];\\n FileSystemHandling.appendDataToFile(evoSuiteFile0, byteArray0);\\n Vector<NaiveBayesMultinomial> vector0 = new Vector<NaiveBayesMultinomial>();\\n instances0.removeAll(vector0);\\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\\n evaluation0.numInstances();\\n CostSensitiveClassifier costSensitiveClassifier0 = new CostSensitiveClassifier();\\n CostMatrix costMatrix0 = costSensitiveClassifier0.getCostMatrix();\\n Evaluation evaluation1 = null;\\n try {\\n evaluation1 = new Evaluation(instances0, costMatrix0);\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Throwable e) {\\n //\\n // Cost matrix not compatible with data!\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"732420f45f1e1d21e7378abc06a98553\",\n \"score\": \"0.5896324\",\n \"text\": \"@Test(timeout = 4000)\\n public void test158() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n resultMatrixSignificance0.m_StdDevWidth = 97;\\n resultMatrixSignificance0.setMeanPrec((-766));\\n int[] intArray0 = new int[8];\\n intArray0[0] = 2;\\n intArray0[1] = 2;\\n intArray0[2] = 2;\\n intArray0[3] = 2;\\n intArray0[4] = (-766);\\n intArray0[5] = 1;\\n intArray0[6] = 2;\\n intArray0[7] = 2;\\n resultMatrixSignificance0.m_RankingWins = intArray0;\\n resultMatrixSignificance0.clearRanking();\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixSignificance0);\\n resultMatrixHTML0.setMeanWidth((-563));\\n resultMatrixHTML0.m_MeanWidth = 1126;\\n resultMatrixHTML0.m_PrintRowNames = false;\\n resultMatrixHTML0.m_StdDevWidth = 0;\\n resultMatrixSignificance0.toStringKey();\\n resultMatrixHTML0.countWidthTipText();\\n String[] stringArray0 = resultMatrixHTML0.getOptions();\\n resultMatrixHTML0.m_RowNames = stringArray0;\\n resultMatrixSignificance0.setPrintRowNames(false);\\n resultMatrixSignificance0.getShowAverage();\\n resultMatrixHTML0.printRowNamesTipText();\\n resultMatrixHTML0.setRemoveFilterName(false);\\n resultMatrixHTML0.toStringSummary();\\n resultMatrixSignificance0.setSignificance(2, 0, 26);\\n assertEquals(97, resultMatrixSignificance0.getStdDevWidth());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3354d979b4e2012efef6208fcc22299f\",\n \"score\": \"0.5885811\",\n \"text\": \"@Test\\n public void testRandom() {\\n System.out.println(\\\"random\\\");\\n double[] prob = {0.473646292, 0.206116725, 0.009308497, 0.227844687, 0.083083799};\\n int[] sample = Math.random(prob, 300);\\n double[][] hist = Histogram.histogram(sample, 5);\\n double[] p = new double[5];\\n for (int i = 0; i < 5; i++) {\\n p[i] = hist[2][i] / 300.0;\\n }\\n assertTrue(Math.KullbackLeiblerDivergence(prob, p) < 0.05);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a176ecc066c42dc17d2545a54e66d930\",\n \"score\": \"0.5878325\",\n \"text\": \"@Test\\n\\tvoid computeEntropy_Zeros() {\\n\\t\\tStereoMutualInformation alg = new StereoMutualInformation();\\n\\t\\talg.configureHistogram(251);\\n\\n\\t\\t// only a few non-zero values\\n\\t\\tfor (int i = 0; i < 251; i++) {\\n\\t\\t\\talg.histJoint.set(250,i,40);\\n\\t\\t}\\n\\t\\talg.computeProbabilities();\\n\\t\\talg.computeEntropy();\\n\\n\\t\\t// make sure all numbers are valid\\n\\t\\tfor (int i = 0; i < 251; i++) {\\n\\t\\t\\tassertFalse(UtilEjml.isUncountable(alg.entropyLeft.get(i,0)));\\n\\t\\t\\tassertFalse(UtilEjml.isUncountable(alg.entropyRight.get(i,0)));\\n\\n\\t\\t\\tfor (int j = 0; j < 251; j++) {\\n\\t\\t\\t\\tassertFalse(UtilEjml.isUncountable(alg.entropyJoint.get(j,i)));\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"82bc74e3f934d03f718e41fb80e76788\",\n \"score\": \"0.58780766\",\n \"text\": \"@Test(timeout = 4000)\\n public void test139() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n int[][] intArray0 = new int[3][2];\\n resultMatrixSignificance0.m_ShowStdDev = false;\\n resultMatrixSignificance0.m_NonSigWins = intArray0;\\n int[] intArray1 = new int[4];\\n intArray1[0] = 0;\\n intArray1[1] = 0;\\n intArray1[2] = 0;\\n intArray1[3] = 0;\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[7];\\n intArray2[0] = 1;\\n intArray2[1] = 1;\\n intArray2[2] = 2;\\n intArray2[6] = 2;\\n intArray2[4] = 0;\\n resultMatrixSignificance0.getRowName(2138);\\n intArray2[5] = 1;\\n intArray2[6] = 2;\\n intArray0[1] = intArray2;\\n int[] intArray3 = new int[6];\\n intArray3[1] = 0;\\n intArray3[2] = 0;\\n intArray3[3] = 0;\\n intArray3[4] = 1;\\n intArray0[2] = intArray3;\\n resultMatrixSignificance0.setSummary(intArray0, intArray0);\\n resultMatrixSignificance0.setPrintRowNames(false);\\n resultMatrixSignificance0.getDisplayName();\\n boolean boolean0 = resultMatrixSignificance0.isSignificance(3);\\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(boolean0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a0a2b3cf9e4f46d38636166fab5e5adc\",\n \"score\": \"0.5872677\",\n \"text\": \"@Test(timeout = 4000)\\n public void test20() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n VotedPerceptron votedPerceptron0 = new VotedPerceptron();\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n cVParameterSelection0.setClassifier(votedPerceptron0);\\n Evaluation.makeOptionString(votedPerceptron0, false);\\n Evaluation evaluation1 = new Evaluation(instances0);\\n evaluation1.getHeader();\\n Evaluation evaluation2 = new Evaluation(evaluation0.m_Header);\\n String string0 = evaluation0.toMatrixString();\\n assertEquals(\\\"=== Confusion Matrix ===\\\\n\\\\n a b <-- classified as\\\\n 0 0 | a = class1\\\\n 0 0 | b = class2\\\\n\\\", string0);\\n \\n double double0 = Evaluation.MIN_SF_PROB;\\n evaluation2.numInstances();\\n evaluation1.rootMeanPriorSquaredError();\\n double double1 = evaluation1.weightedAreaUnderPRC();\\n assertEquals(Double.NaN, double1, 0.01);\\n assertEquals(0.0, evaluation1.SFEntropyGain(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"04ebe07f8af79a560dfa2e4e4a2012ad\",\n \"score\": \"0.5869098\",\n \"text\": \"@Test(timeout = 4000)\\n public void test28() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n ZeroR zeroR0 = new ZeroR();\\n cVParameterSelection0.setClassifier(zeroR0);\\n MultiClassClassifier multiClassClassifier0 = new MultiClassClassifier();\\n Evaluation.main(testInstances0.DEFAULT_WORDS);\\n evaluation0.KBRelativeInformation();\\n Evaluation.makeOptionString(multiClassClassifier0, false);\\n evaluation0.trueNegativeRate(1);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ae771fafe50b1b99e0df4af6041ea7f2\",\n \"score\": \"0.5868249\",\n \"text\": \"@Test(timeout = 4000)\\n public void test17() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n char[] charArray0 = new char[1];\\n charArray0[0] = 'F';\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n ZeroR zeroR0 = new ZeroR();\\n cVParameterSelection0.setClassifier(zeroR0);\\n MultiClassClassifier multiClassClassifier0 = new MultiClassClassifier();\\n evaluation0.KBRelativeInformation();\\n Evaluation.makeOptionString(multiClassClassifier0, true);\\n Evaluation evaluation1 = new Evaluation(instances0);\\n testInstances0.getData();\\n Evaluation evaluation2 = new Evaluation(instances0);\\n evaluation2.toCumulativeMarginDistributionString();\\n evaluation0.meanAbsoluteError();\\n Instance instance0 = null;\\n try { \\n Evaluation.handleCostOption(\\\".bsi\\\", 3);\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Exception e) {\\n //\\n // Can't open file null.\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"946ae3a0da2dc01edec54b9bf2bc369a\",\n \"score\": \"0.5867223\",\n \"text\": \"@Test(timeout = 4000)\\n public void test09() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n String string0 = discretize0.globalInfo();\\n assertEquals(\\\"An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes. Discretization is by simple binning. Skips the class attribute if set.\\\", string0);\\n \\n discretize0.setAttributeIndices(\\\"\\\");\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d7d45d73e5f0258193fa70f56667f70\",\n \"score\": \"0.58657384\",\n \"text\": \"public static void main(String[] args) {\\n\\n\\t\\ttry {\\n\\n\\t\\t\\tinput();\\n\\n\\t\\t\\tclassEntropy = new double[partitionCount];\\n\\n\\t\\t\\tfor (int i = 0; i < partitionCount; i++) {\\n\\t\\t\\t\\tint yesCount = 0;\\n\\t\\t\\t\\tint noCount = 0;\\n\\t\\t\\t\\tint tCount = 0;\\n\\t\\t\\t\\tfor (int j = 0; j < instanceCount; j++) {\\n\\n\\t\\t\\t\\t\\tfor (int k = 0; k < classCount[i]; k++) {\\n\\t\\t\\t\\t\\t\\tif (classData[i][k] == (j + 1)\\n\\t\\t\\t\\t\\t\\t\\t\\t&& inputData[j][featureCount - 1] == 1)\\n\\t\\t\\t\\t\\t\\t\\tyesCount++;\\n\\t\\t\\t\\t\\t\\tif (classData[i][k] == (j + 1)\\n\\t\\t\\t\\t\\t\\t\\t\\t&& inputData[j][featureCount - 1] == 0)\\n\\t\\t\\t\\t\\t\\t\\tnoCount++;\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tclassEntropy[i] = calculateEntropy(noCount, yesCount);\\n\\t\\t\\t}\\n\\n\\t\\t\\tconditionalEntropy = new double[partitionCount][featureCount - 1];\\n\\t\\t\\tinformationGain = new double[partitionCount][featureCount - 1];\\n\\n\\t\\t\\tfor (int i = 0; i < partitionCount; i++) {\\n\\t\\t\\t\\tfor (int j = 0; j < featureCount - 1; j++) {\\n\\t\\t\\t\\t\\tint yesCount0 = 0;\\n\\t\\t\\t\\t\\tint noCount0 = 0;\\n\\t\\t\\t\\t\\tint yesCount1 = 0;\\n\\t\\t\\t\\t\\tint noCount1 = 0;\\n\\t\\t\\t\\t\\tint noCount2 =0;\\n\\t\\t\\t\\t\\tint yesCount2 =0;\\n\\n\\t\\t\\t\\t\\tfor (int k = 0; k < classCount[i]; k++) {\\n\\t\\t\\t\\t\\t\\tif (inputData[classData[i][k] - 1][j] == 0\\n\\t\\t\\t\\t\\t\\t\\t\\t&& inputData[classData[i][k] - 1][featureCount - 1] == 0)\\n\\t\\t\\t\\t\\t\\t\\tnoCount0++;\\n\\t\\t\\t\\t\\t\\telse if (inputData[classData[i][k] - 1][j] == 0\\n\\t\\t\\t\\t\\t\\t\\t\\t&& inputData[classData[i][k] - 1][featureCount - 1] == 1)\\n\\t\\t\\t\\t\\t\\t\\tyesCount0++;\\n\\t\\t\\t\\t\\t\\telse if (inputData[classData[i][k] - 1][j] == 1\\n\\t\\t\\t\\t\\t\\t\\t\\t&& inputData[classData[i][k] - 1][featureCount - 1] == 0)\\n\\t\\t\\t\\t\\t\\t\\tnoCount1++;\\n\\t\\t\\t\\t\\t\\telse if (inputData[classData[i][k] - 1][j] == 1\\n\\t\\t\\t\\t\\t\\t\\t\\t&& inputData[classData[i][k] - 1][featureCount - 1] == 1)\\n\\t\\t\\t\\t\\t\\t\\tyesCount1++;\\n\\t\\t\\t\\t\\t\\telse if (inputData[classData[i][k] - 1][j] == 2\\n\\t\\t\\t\\t\\t\\t\\t\\t&& inputData[classData[i][k] - 1][featureCount - 1] == 0)\\n\\t\\t\\t\\t\\t\\t\\tnoCount2++;\\n\\t\\t\\t\\t\\t\\telse if (inputData[classData[i][k] - 1][j] == 2\\n\\t\\t\\t\\t\\t\\t\\t\\t&& inputData[classData[i][k] - 1][featureCount - 1] == 1)\\n\\t\\t\\t\\t\\t\\t\\tyesCount2++;\\n\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\tconditionalEntropy[i][j] = calculateConditionalEntropy(\\n\\t\\t\\t\\t\\t\\t\\tnoCount0, yesCount0, noCount1, yesCount1, noCount2, yesCount2);\\n\\t\\t\\t\\t\\tinformationGain[i][j] = classEntropy[i]\\n\\t\\t\\t\\t\\t\\t\\t- conditionalEntropy[i][j];\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tfindMaxGainFeature();\\n\\t\\t\\tInputOutput.writeOutput();\\n\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tSystem.out.println(\\\"Partition unsuccessful...\\\");\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"70c42a2679213cacbb0b37826da6b684\",\n \"score\": \"0.58539915\",\n \"text\": \"@Test(timeout = 4000)\\n public void test146() throws Throwable {\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixHTML0);\\n resultMatrixHTML0.TIE_STRING = \\\"(\\\";\\n resultMatrixLatex0.getStdDev(0, 25);\\n resultMatrixLatex0.setStdDev(3911, 85, 0);\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(69, 3911);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74cffeae265be8720efa07bcd29df739\",\n \"score\": \"0.58534473\",\n \"text\": \"@Test(timeout = 4000)\\n public void test182() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n resultMatrixLatex0.setSignificanceWidth(2);\\n resultMatrixLatex0.setMeanPrec(2);\\n resultMatrixLatex0.toStringSummary();\\n assertEquals(2, resultMatrixLatex0.getSignificanceWidth());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"17fbeac7d3d1821d7313fe65d89c5db7\",\n \"score\": \"0.5851632\",\n \"text\": \"public static void main(String[] args) throws IOException {\\n\\n String path = \\\"C:\\\\\\\\Users\\\\\\\\jakub\\\\\\\\Desktop\\\\\\\\mnist_png\\\\\\\\training\\\";\\n //testImageLoader(path);\\n DigitsImageLoader loader = new DigitsImageLoader(path);\\n BufferedImage[][] images = loader.loadDigits();\\n\\n RCHistogramFeature featureMethod = new RCHistogramFeature();\\n featureMethod.setThreshold(5);\\n\\n long start = System.currentTimeMillis();\\n double[][][] featureVectors1 = new double[images.length][][];\\n for (int digit = 0; digit < featureVectors1.length; digit++) {\\n featureVectors1[digit] = new double[images[digit].length][];\\n double[][] imageFeatureVectors = featureVectors1[digit];\\n\\n for (int i = 0; i < imageFeatureVectors.length; i++) {\\n double[] featureVector = featureMethod.createFeature(images[digit][i]);\\n imageFeatureVectors[i] = featureVector;\\n }\\n }\\n\\n testClassifier(new MinimumDistanceClassifier(featureVectors1));\\n long e = System.currentTimeMillis() - start;\\n System.out.println(e);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1d4954d96b5929f0147776c05edd3e4\",\n \"score\": \"0.5851629\",\n \"text\": \"@Test(timeout = 4000)\\n public void test04() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"X]..?f\\\");\\n discretize0.setAttributeIndices(\\\"X]..?f\\\");\\n discretize0.m_MakeBinary = true;\\n discretize0.m_DesiredWeightOfInstancesPerInterval = 1.7976931348623157E308;\\n discretize0.binsTipText();\\n discretize0.getOptions();\\n discretize0.getBinRangesString((-1));\\n discretize0.getRevision();\\n assertEquals(1.7976931348623157E308, discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"271c0d4f22298072283217038fd5e0ab\",\n \"score\": \"0.58450264\",\n \"text\": \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n FileSystemHandling fileSystemHandling0 = new FileSystemHandling();\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n ZeroR zeroR0 = new ZeroR();\\n MultiClassClassifier multiClassClassifier0 = new MultiClassClassifier();\\n Evaluation.main(testInstances0.DEFAULT_WORDS);\\n evaluation0.KBRelativeInformation();\\n Evaluation.makeOptionString(multiClassClassifier0, true);\\n FilteredClusterer filteredClusterer0 = new FilteredClusterer();\\n evaluation0.toClassDetailsString();\\n // Undeclared exception!\\n try { \\n evaluation0.fMeasure(2);\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 2\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"017a7cda383c1b7e584b3dffebc52b74\",\n \"score\": \"0.58409786\",\n \"text\": \"@Test(timeout = 4000)\\n public void test26() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n \\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixSignificance0);\\n assertNotNull(resultMatrixSignificance1);\\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance1.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance1.getColCount());\\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixSignificance1.getRowCount());\\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance1.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance1.meanPrecTipText());\\n assertFalse(resultMatrixSignificance1.getShowAverage());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance1.colNameWidthTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance1.getDisplayName());\\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance1.globalInfo());\\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance1.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance1.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance1.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance1.stdDevPrecTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance1.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance1.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance1.getShowStdDev());\\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\\n assertFalse(resultMatrixSignificance1.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance1.printColNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance1.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\\n \\n int[][] intArray0 = new int[2][9];\\n int[] intArray1 = new int[5];\\n intArray1[0] = 915;\\n intArray1[1] = (-2430);\\n intArray1[2] = 0;\\n intArray1[3] = 0;\\n intArray1[4] = 2;\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[9];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = 1;\\n intArray2[1] = 2;\\n intArray2[2] = 0;\\n intArray2[3] = (-2430);\\n intArray2[4] = 2;\\n intArray2[5] = 2;\\n intArray2[6] = 2;\\n intArray2[7] = (-2430);\\n intArray2[8] = 2;\\n intArray0[1] = intArray2;\\n resultMatrixSignificance0.setSummary(intArray0, intArray0);\\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\\n assertEquals(2, intArray0.length);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93278205aec40a592841e84f1a7161d2\",\n \"score\": \"0.5830871\",\n \"text\": \"@Test(timeout = 4000)\\n public void test11() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"#\\\");\\n String string0 = discretize0.attributeIndicesTipText();\\n assertEquals(\\\"Specify range of attributes to act on. This is a comma separated list of attribute indices, with \\\\\\\"first\\\\\\\" and \\\\\\\"last\\\\\\\" valid values. Specify an inclusive range with \\\\\\\"-\\\\\\\". E.g: \\\\\\\"first-3,5,6-10,last\\\\\\\".\\\", string0);\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getUseBinNumbers());\\n assertFalse(discretize0.getMakeBinary());\\n assertFalse(discretize0.getFindNumBins());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e198344b223e7763dc24807dde886ee3\",\n \"score\": \"0.58266294\",\n \"text\": \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n int[] intArray0 = new int[4];\\n intArray0[0] = 891;\\n String string0 = discretize0.makeBinaryTipText();\\n assertEquals(\\\"Make resulting attributes binary.\\\", string0);\\n \\n double[] doubleArray0 = new double[4];\\n doubleArray0[0] = (double) 891;\\n doubleArray0[1] = (double) 891;\\n doubleArray0[3] = (double) 891;\\n DenseInstance denseInstance0 = new DenseInstance(891, doubleArray0);\\n String string1 = discretize0.useEqualFrequencyTipText();\\n assertEquals(\\\"If set to true, equal-frequency binning will be used instead of equal-width binning.\\\", string1);\\n \\n discretize0.getBinRangesString((-1840700267));\\n assertEquals(10, discretize0.getBins());\\n assertFalse(discretize0.getMakeBinary());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertFalse(discretize0.getFindNumBins());\\n assertFalse(discretize0.getUseEqualFrequency());\\n assertFalse(discretize0.getUseBinNumbers());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"754c3d7bfe5d1057e179f70f6d580853\",\n \"score\": \"0.5820468\",\n \"text\": \"@Test(timeout = 4000)\\n public void test15() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n VotedPerceptron votedPerceptron0 = new VotedPerceptron();\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n cVParameterSelection0.setClassifier(votedPerceptron0);\\n Evaluation.makeOptionString(votedPerceptron0, false);\\n Evaluation evaluation1 = new Evaluation(instances0);\\n testInstances0.getData();\\n Evaluation evaluation2 = new Evaluation(instances0);\\n evaluation1.toCumulativeMarginDistributionString();\\n evaluation2.meanAbsoluteError();\\n evaluation2.setDiscardPredictions(true);\\n assertTrue(evaluation2.getDiscardPredictions());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8431169cc86948b674d240de7d82d09a\",\n \"score\": \"0.5812795\",\n \"text\": \"@Test(timeout = 4000)\\n public void test18() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.m_Header = instances0;\\n VotedPerceptron votedPerceptron0 = new VotedPerceptron();\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n cVParameterSelection0.setClassifier(votedPerceptron0);\\n Evaluation.makeOptionString(votedPerceptron0, false);\\n Evaluation evaluation1 = new Evaluation(instances0);\\n testInstances0.getData();\\n Evaluation evaluation2 = new Evaluation(instances0);\\n evaluation1.confusionMatrix();\\n evaluation0.confusionMatrix();\\n double double0 = evaluation0.weightedRecall();\\n assertEquals(Double.NaN, double0, 0.01);\\n \\n String string0 = evaluation2.toMatrixString(\\\".bsi\\\");\\n assertEquals(\\\".bsi\\\\n a b <-- classified as\\\\n 0 0 | a = class1\\\\n 0 0 | b = class2\\\\n\\\", string0);\\n \\n evaluation1.toSummaryString();\\n assertEquals(Double.NaN, evaluation1.weightedTruePositiveRate(), 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"301a3deb8abf58de11aad1b04e83e4f3\",\n \"score\": \"0.5810885\",\n \"text\": \"@Test\\n public void testRandom2() {\\n System.out.println(\\\"random\\\");\\n double[] prob = {0.473646292, 0.206116725, 0.009308497, 0.227844687, 0.083083799};\\n int[] sample = new int[300];\\n for (int i = 0; i < 300; i++) {\\n sample[i] = Math.random(prob);\\n }\\n\\n double[][] hist = Histogram.histogram(sample, 5);\\n double[] p = new double[5];\\n for (int i = 0; i < 5; i++) {\\n p[i] = hist[2][i] / 300.0;\\n }\\n\\n assertTrue(Math.KullbackLeiblerDivergence(prob, p) < 0.05);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0517a94046479163088e15a483aa1524\",\n \"score\": \"0.5804805\",\n \"text\": \"@Test(timeout = 4000)\\n public void test17() throws Throwable {\\n Discretize discretize0 = new Discretize(\\\"EMPTY_NOMINAL_CLASS\\\");\\n double[][] doubleArray0 = new double[6][6];\\n double[] doubleArray1 = new double[4];\\n doubleArray1[0] = (-3648.0);\\n doubleArray1[1] = (-1054.73506792072);\\n doubleArray1[2] = (-2285.17536);\\n doubleArray1[3] = 0.0;\\n doubleArray0[0] = doubleArray1;\\n double[] doubleArray2 = new double[7];\\n doubleArray2[0] = (-1054.73506792072);\\n doubleArray2[1] = (-3648.0);\\n doubleArray2[2] = (-1054.73506792072);\\n doubleArray2[3] = 0.0;\\n doubleArray2[4] = (-3648.0);\\n doubleArray2[5] = (-1054.73506792072);\\n doubleArray2[6] = 0.0;\\n doubleArray0[1] = doubleArray2;\\n double[] doubleArray3 = new double[6];\\n doubleArray3[0] = (-2285.17536);\\n doubleArray3[1] = (-2285.17536);\\n doubleArray3[2] = (-3648.0);\\n doubleArray3[3] = (-1054.73506792072);\\n doubleArray3[4] = (-2285.17536);\\n doubleArray3[5] = (-1054.73506792072);\\n doubleArray0[2] = doubleArray3;\\n double[] doubleArray4 = new double[4];\\n doubleArray4[0] = (-3648.0);\\n doubleArray4[1] = (-1062.620979);\\n doubleArray4[2] = (-1054.73506792072);\\n doubleArray4[3] = (-2285.17536);\\n doubleArray0[3] = doubleArray4;\\n double[] doubleArray5 = new double[6];\\n doubleArray5[0] = 0.0;\\n doubleArray5[1] = (-3648.0);\\n doubleArray5[2] = (-1062.620979);\\n doubleArray5[3] = (-3648.0);\\n doubleArray5[4] = (-1054.73506792072);\\n doubleArray5[5] = (-1062.620979);\\n doubleArray0[4] = doubleArray5;\\n double[] doubleArray6 = new double[3];\\n doubleArray6[0] = (-3648.0);\\n doubleArray6[1] = (-2285.17536);\\n doubleArray6[2] = Double.NaN;\\n doubleArray0[5] = doubleArray6;\\n discretize0.m_CutPoints = doubleArray0;\\n // Undeclared exception!\\n try { \\n discretize0.getCutPoints((-2134061872));\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // -2134061872\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c37d9094e550d3252f4eae431f322a72\",\n \"score\": \"0.58027375\",\n \"text\": \"@Test\\n public void test() {\\n Map<TermId, Integer> recipeToId = new HashMap<>();\\n Map<TermId, Set<TermId>> labels = new HashMap<>();\\n int nextId = 1;\\n for (VegetableRecipeAnnotation a : recipeAnnotations) {\\n if (!recipeToId.containsKey(a.getItemId())) {\\n recipeToId.put(a.getItemId(), nextId++);\\n }\\n TermId recipeId = a.id();\\n if (!labels.containsKey(recipeId)) {\\n labels.put(recipeId, new HashSet<>());\\n }\\n final Set<TermId> termIds = labels.get(recipeId);\\n termIds.add(a.id());\\n }\\n\\n Map<Integer, ScoreDistribution> samplingResult = scoreSampling.performSampling();\\n assertEquals(1, samplingResult.size());\\n // todo add more testing of distribution\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b44da534667de2f40ba463cd6a6479c9\",\n \"score\": \"0.5797218\",\n \"text\": \"@Test(timeout = 4000)\\n public void test13() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"tm\\\\\\\"iK7~\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n testInstances0.generate(\\\".arff\\\");\\n evaluation0.m_Header = instances0;\\n double[][] doubleArray0 = new double[0][8];\\n evaluation0.m_ConfusionMatrix = doubleArray0;\\n char[] charArray0 = new char[1];\\n charArray0[0] = 'F';\\n evaluation0.KBMeanInformation();\\n CVParameterSelection cVParameterSelection0 = new CVParameterSelection();\\n LWL lWL0 = new LWL();\\n cVParameterSelection0.setClassifier(lWL0);\\n Evaluation.makeOptionString(lWL0, false);\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances1 = textDirectoryLoader0.getDataSet();\\n Evaluation evaluation1 = new Evaluation(instances1);\\n evaluation1.getHeader();\\n FileSystemHandling fileSystemHandling0 = new FileSystemHandling();\\n Evaluation evaluation2 = new Evaluation(instances1);\\n evaluation1.toCumulativeMarginDistributionString();\\n evaluation1.meanAbsoluteError();\\n evaluation2.SFMeanEntropyGain();\\n OneR oneR0 = new OneR();\\n try { \\n Evaluation.wekaStaticWrapper(oneR0, \\\"setNumFolds\\\");\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.classifiers.rules.OneR$OneRRule\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"629b3174174569c5a4cba37d18168b56\",\n \"score\": \"0.57811916\",\n \"text\": \"@Test(timeout = 4000)\\n public void test041() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n \\n int[] intArray0 = new int[4];\\n intArray0[0] = 0;\\n intArray0[1] = 0;\\n intArray0[2] = 0;\\n intArray0[3] = 0;\\n int[] intArray1 = new int[7];\\n assertFalse(intArray1.equals((Object)intArray0));\\n \\n intArray1[0] = 1;\\n intArray1[2] = 2;\\n intArray1[4] = 0;\\n intArray1[5] = 1;\\n intArray0[3] = 2;\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n \\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\";\\n stringArray0[1] = \\\" \\\";\\n resultMatrixGnuPlot0.m_ColNames = stringArray0;\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n \\n resultMatrixGnuPlot0.setRowName(0, \\\"\\\");\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixCSV0);\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n \\n int[] intArray2 = new int[1];\\n assertFalse(intArray2.equals((Object)intArray0));\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = (-358);\\n resultMatrixCSV0.setRowOrder(intArray2);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(intArray2.equals((Object)intArray0));\\n assertFalse(intArray2.equals((Object)intArray1));\\n assertNotSame(intArray2, intArray0);\\n assertNotSame(intArray2, intArray1);\\n assertEquals(1, intArray2.length);\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertArrayEquals(new int[] {(-358)}, intArray2);\\n \\n String string0 = resultMatrixCSV0.globalInfo();\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", string0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(string0);\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n \\n boolean boolean0 = resultMatrixGnuPlot0.getRowHidden(2);\\n assertFalse(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n \\n boolean boolean1 = resultMatrixSignificance0.isStdDev(1);\\n assertFalse(boolean1);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertTrue(boolean1 == boolean0);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"113ddbd5c9c3c8256fd34d7eb5a259fb\",\n \"score\": \"0.57788414\",\n \"text\": \"@Test(timeout = 4000)\\n public void test03() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.toString();\\n discretize0.useBinNumbersTipText();\\n discretize0.setBins(2928);\\n String[] stringArray0 = new String[4];\\n stringArray0[0] = \\\"Use bin numbers (eg BXofY) rather than ranges for for discretized attributes\\\";\\n stringArray0[1] = \\\"Use bin numbers (eg BXofY) rather than ranges for for discretized attributes\\\";\\n stringArray0[2] = \\\"weka.filters.unsupervised.attribute.Discretize\\\";\\n stringArray0[3] = \\\"Ur\\\";\\n discretize0.setOptions(stringArray0);\\n // Undeclared exception!\\n try { \\n discretize0.calculateCutPointsByEqualFrequencyBinning((-2100));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.core.Instances\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"58feffee2f3ebbadf5ef3039358f61bf\",\n \"score\": \"0.5777405\",\n \"text\": \"private static double entropy(int[] data) {\\n\\t\\tint sum=0;\\n\\t\\tdouble entropy = 0;\\n\\t\\tfor (int x : data) {\\n\\t\\t\\tsum += x;\\n\\t\\t\\tentropy -= x * Math.log(x);\\n\\t\\t}\\n\\t\\tentropy += sum * Math.log(sum);\\n\\t\\treturn entropy;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c34a5bce34df89196827cb16c337c057\",\n \"score\": \"0.5773234\",\n \"text\": \"@Test(timeout = 4000)\\n public void test16() throws Throwable {\\n JRip jRip0 = new JRip();\\n jRip0.toString();\\n Attribute attribute0 = new Attribute(\\\"{\\\", 2287);\\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\\n double[] doubleArray0 = new double[4];\\n doubleArray0[0] = (double) 1;\\n doubleArray0[1] = (double) 4;\\n doubleArray0[2] = 559.9;\\n doubleArray0[3] = (double) 2;\\n SparseInstance sparseInstance0 = new SparseInstance(559.9, doubleArray0);\\n jRip_NominalAntd0.covers(sparseInstance0);\\n jRip_NominalAntd0.getAttrValue();\\n Attribute attribute1 = jRip_NominalAntd0.getAttr();\\n attribute1.setWeight(0.0);\\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\\n jRip_RipperRule0.setConsequent((-945.575));\\n jRip0.listOptions();\\n // Undeclared exception!\\n try { \\n jRip0.getRuleStats(0);\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.classifiers.rules.JRip\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c56f0c59da58941bd39689470682744a\",\n \"score\": \"0.5772231\",\n \"text\": \"@Test(timeout = 4000)\\n public void test22() throws Throwable {\\n FileSystemHandling.shouldAllThrowIOExceptions();\\n Discretize discretize0 = new Discretize();\\n discretize0.m_IgnoreClass = true;\\n discretize0.getCapabilities();\\n String[] stringArray0 = discretize0.getOptions();\\n assertEquals(10, discretize0.getBins());\\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\\n assertEquals(7, stringArray0.length);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d359209a97c8e22b9eda476e7c72aca1\",\n \"score\": \"0.5745947\",\n \"text\": \"@Test(timeout = 4000)\\n public void test22() throws Throwable {\\n JRip jRip0 = new JRip();\\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\\n assertEquals((-1.0), jRip_RipperRule0.getConsequent(), 0.01);\\n \\n InputMappedClassifier inputMappedClassifier0 = new InputMappedClassifier();\\n String[] stringArray0 = new String[9];\\n stringArray0[0] = \\\"?{Cuzcj-_4b\\\";\\n stringArray0[1] = \\\"%tO(J z\\\";\\n stringArray0[2] = \\\"4+)l;M_n<UPN\\\";\\n double[] doubleArray0 = new double[3];\\n doubleArray0[0] = 559.9;\\n doubleArray0[1] = 1.0;\\n doubleArray0[2] = 559.9;\\n SparseInstance sparseInstance0 = new SparseInstance(1.0, doubleArray0);\\n ArrayList<Locale.LanguageRange> arrayList0 = new ArrayList<Locale.LanguageRange>();\\n List<String> list0 = Locale.filterTags((List<Locale.LanguageRange>) arrayList0, (Collection<String>) null);\\n Properties properties0 = new Properties();\\n ProtectedProperties protectedProperties0 = new ProtectedProperties(properties0);\\n Attribute attribute0 = new Attribute(\\\"?{Cuzcj-_4b\\\", list0, protectedProperties0);\\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute0);\\n jRip_NominalAntd0.covers(sparseInstance0);\\n jRip_NominalAntd0.getAttrValue();\\n Attribute attribute1 = jRip_NominalAntd0.getAttr();\\n attribute0.setWeight(64.0);\\n JRip.RipperRule jRip_RipperRule1 = jRip0.new RipperRule();\\n jRip_RipperRule0.setConsequent(Double.NaN);\\n JRip jRip1 = new JRip();\\n JRip.RipperRule jRip_RipperRule2 = jRip0.new RipperRule();\\n jRip_RipperRule2.hasAntds();\\n jRip_RipperRule0.covers(sparseInstance0);\\n jRip_NominalAntd0.copy();\\n jRip_NominalAntd0.getMaxInfoGain();\\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute1);\\n String string0 = jRip_NumericAntd0.getRevision();\\n assertEquals(\\\"8118\\\", string0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c85b65a0fd4a9438d698cbc5ccde2de0\",\n \"score\": \"0.573862\",\n \"text\": \"@Test(timeout = 4000)\\n public void test046() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n \\n int[][] intArray0 = new int[3][2];\\n resultMatrixSignificance0.m_NonSigWins = intArray0;\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n \\n int[] intArray1 = new int[4];\\n intArray1[0] = 0;\\n intArray1[1] = 0;\\n intArray1[2] = 0;\\n intArray1[3] = 0;\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[7];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = 1;\\n intArray2[1] = 1;\\n intArray2[2] = 2;\\n intArray2[3] = 2;\\n intArray2[4] = 0;\\n String string0 = resultMatrixSignificance0.getRowName(2138);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNull(string0);\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n \\n intArray2[6] = 2;\\n intArray0[1] = intArray2;\\n int[] intArray3 = new int[6];\\n assertFalse(intArray3.equals((Object)intArray1));\\n assertFalse(intArray3.equals((Object)intArray2));\\n \\n intArray3[0] = 2;\\n intArray3[1] = 0;\\n intArray3[2] = 0;\\n intArray3[3] = 0;\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixLatex0);\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n \\n resultMatrixLatex0.setStdDev(1, (-2032), 4.8);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"de85637d4ba7288bbfe026e9c2e0671d\",\n \"score\": \"0.5737983\",\n \"text\": \"@Test(timeout = 4000)\\n public void test159() throws Throwable {\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixCSV0);\\n String[] stringArray0 = resultMatrixSignificance0.getOptions();\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(18, stringArray0.length);\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78701295ffbbdc8b3b074f2b0de7f434\",\n \"score\": \"0.5736361\",\n \"text\": \"@Test(timeout = 4000)\\n public void test178() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n resultMatrixSignificance0.m_RowNameWidth = 2;\\n resultMatrixSignificance0.LOSS_STRING = \\\"mean-width\\\";\\n resultMatrixSignificance0.setCountWidth(0);\\n resultMatrixSignificance0.setStdDevPrec(0);\\n resultMatrixSignificance0.addHeader(\\\"\\\", \\\"\\\");\\n assertEquals(0, resultMatrixSignificance0.getStdDevPrec());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"270f8e66b9b7ef59ca976f1300370963\",\n \"score\": \"0.57328594\",\n \"text\": \"@Test(timeout = 4000)\\n public void test23() throws Throwable {\\n FileSystemHandling.createFolder((EvoSuiteFile) null);\\n TestInstances testInstances0 = new TestInstances();\\n Instances instances0 = testInstances0.generate(\\\"distributionForInstance\\\");\\n Evaluation evaluation0 = new Evaluation(instances0);\\n FileSystemHandling fileSystemHandling0 = new FileSystemHandling();\\n TestInstances testInstances1 = new TestInstances();\\n testInstances1.setNumRelationalString((-2));\\n evaluation0.pctIncorrect();\\n evaluation0.m_NoPriors = true;\\n evaluation0.toSummaryString(\\\"distributionForInstance\\\", true);\\n evaluation0.pctUnclassified();\\n try { \\n evaluation0.correlationCoefficient();\\n fail(\\\"Expecting exception: Exception\\\");\\n \\n } catch(Exception e) {\\n //\\n // Can't compute correlation coefficient: class is nominal!\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bda057290628cb35827533acc71fc6e6\",\n \"score\": \"0.57322836\",\n \"text\": \"@Test(timeout = 4000)\\n public void test029() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n \\n int[][] intArray0 = new int[3][2];\\n resultMatrixSignificance0.m_NonSigWins = intArray0;\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n \\n int[] intArray1 = new int[4];\\n intArray1[0] = 0;\\n intArray1[1] = 0;\\n intArray1[2] = 0;\\n intArray1[3] = 0;\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[7];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = 1;\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(0, 2);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixHTML0);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n \\n resultMatrixSignificance0.setColNameWidth(2);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getColNameWidth());\\n \\n String string0 = resultMatrixHTML0.getSummaryTitle(3);\\n assertEquals(\\\"d\\\", string0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(string0);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixHTML0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n \\n resultMatrixLatex0.setRemoveFilterName(false);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n \\n resultMatrixHTML0.setRowHidden(2679, true);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n \\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\\n assertNotNull(resultMatrixSignificance1);\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance1.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance1.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance1.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance1.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance1.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance1.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance1.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance1.getColCount());\\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance1.showStdDevTipText());\\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance1.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance1.globalInfo());\\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance1.getDisplayName());\\n assertFalse(resultMatrixSignificance1.getShowStdDev());\\n assertFalse(resultMatrixSignificance1.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance1.rowNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance1.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance1.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\\n \\n resultMatrixSignificance1.assign(resultMatrixLatex0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\\n assertNotSame(resultMatrixSignificance1, resultMatrixSignificance0);\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance1.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance1.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\\n assertEquals(0, resultMatrixSignificance1.getColCount());\\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance1.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance1.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance1.printRowNamesTipText());\\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance1.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance1.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance1.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\\n assertEquals(2, resultMatrixSignificance1.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance1.globalInfo());\\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance1.getDisplayName());\\n assertFalse(resultMatrixSignificance1.getShowStdDev());\\n assertFalse(resultMatrixSignificance1.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance1.rowNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance1.significanceWidthTipText());\\n assertEquals(25, resultMatrixSignificance1.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance1.getPrintColNames());\\n assertEquals(2, resultMatrixSignificance1.getRowCount());\\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance1.getVisibleColCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixHTML0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getColCount());\\n assertEquals(2, resultMatrixPlainText0.getRowCount());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n \\n boolean boolean0 = resultMatrixHTML0.getColHidden(3);\\n assertFalse(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(2, resultMatrixHTML0.getRowCount());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e20d92a0b2c78e207843f140985c38be\",\n \"score\": \"0.5727866\",\n \"text\": \"@Test(timeout = 4000)\\n public void test27() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n \\n int int0 = resultMatrixSignificance0.getDefaultColNameWidth();\\n assertEquals(0, int0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n \\n resultMatrixSignificance0.setMeanPrec(1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n \\n String string0 = resultMatrixSignificance0.toStringKey();\\n assertEquals(\\\"Key:\\\\n(1) col0\\\\n\\\", string0);\\n assertNotNull(string0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n \\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixSignificance0);\\n assertNotNull(resultMatrixHTML0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(40, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getMeanPrec());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixHTML0);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(40, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getMeanPrec());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n \\n resultMatrixHTML0.assign(resultMatrixGnuPlot0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(40, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getMeanPrec());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n \\n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML();\\n assertNotNull(resultMatrixHTML1);\\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML1.meanPrecTipText());\\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML1.printRowNamesTipText());\\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML1.rowNameWidthTipText());\\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML1.countWidthTipText());\\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML1.getCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML1.colNameWidthTipText());\\n assertTrue(resultMatrixHTML1.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML1.globalInfo());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML1.getDisplayName());\\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML1.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixHTML1.getColCount());\\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML1.showStdDevTipText());\\n assertFalse(resultMatrixHTML1.getShowStdDev());\\n assertFalse(resultMatrixHTML1.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML1.meanWidthTipText());\\n assertFalse(resultMatrixHTML1.getPrintColNames());\\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML1.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\\n assertEquals(1, resultMatrixHTML1.getRowCount());\\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML1.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML1.stdDevPrecTipText());\\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML1.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\\n \\n int[] intArray0 = new int[8];\\n intArray0[0] = 0;\\n intArray0[1] = 0;\\n intArray0[2] = 783;\\n intArray0[3] = 0;\\n intArray0[4] = (-2346);\\n intArray0[5] = 0;\\n intArray0[6] = 2;\\n intArray0[7] = (-3604);\\n resultMatrixHTML0.setColOrder(intArray0);\\n assertFalse(resultMatrixHTML0.equals((Object)resultMatrixHTML1));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(40, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(1, resultMatrixHTML0.getMeanPrec());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertNotSame(resultMatrixHTML0, resultMatrixHTML1);\\n assertArrayEquals(new int[] {0, 0, 783, 0, (-2346), 0, 2, (-3604)}, intArray0);\\n assertEquals(8, intArray0.length);\\n \\n resultMatrixHTML1.setColName(1, \\\"-show-avg\\\");\\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML1.meanPrecTipText());\\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML1.printRowNamesTipText());\\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML1.rowNameWidthTipText());\\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML1.countWidthTipText());\\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML1.getCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML1.colNameWidthTipText());\\n assertTrue(resultMatrixHTML1.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML1.globalInfo());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML1.getDisplayName());\\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML1.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixHTML1.getColCount());\\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML1.showStdDevTipText());\\n assertFalse(resultMatrixHTML1.getShowStdDev());\\n assertFalse(resultMatrixHTML1.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML1.meanWidthTipText());\\n assertFalse(resultMatrixHTML1.getPrintColNames());\\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML1.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\\n assertEquals(1, resultMatrixHTML1.getRowCount());\\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML1.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML1.stdDevPrecTipText());\\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML1.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\\n assertNotSame(resultMatrixHTML1, resultMatrixHTML0);\\n \\n resultMatrixHTML1.setColOrder(intArray0);\\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML1.meanPrecTipText());\\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML1.printRowNamesTipText());\\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML1.rowNameWidthTipText());\\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML1.countWidthTipText());\\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML1.getCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML1.colNameWidthTipText());\\n assertTrue(resultMatrixHTML1.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML1.globalInfo());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML1.getDisplayName());\\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML1.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixHTML1.getColCount());\\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML1.showStdDevTipText());\\n assertFalse(resultMatrixHTML1.getShowStdDev());\\n assertFalse(resultMatrixHTML1.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML1.meanWidthTipText());\\n assertFalse(resultMatrixHTML1.getPrintColNames());\\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML1.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\\n assertEquals(1, resultMatrixHTML1.getRowCount());\\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML1.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML1.stdDevPrecTipText());\\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML1.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\\n assertNotSame(resultMatrixHTML1, resultMatrixHTML0);\\n assertArrayEquals(new int[] {0, 0, 783, 0, (-2346), 0, 2, (-3604)}, intArray0);\\n assertEquals(8, intArray0.length);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"63ee1263b8ae8ee562b72c169ac61ccd\",\n \"score\": \"0.57253253\",\n \"text\": \"@Test(timeout = 4000)\\n public void test02() throws Throwable {\\n Discretize discretize0 = new Discretize();\\n discretize0.getAttributeIndices();\\n discretize0.setDesiredWeightOfInstancesPerInterval(3785.69462);\\n discretize0.setOutputFormat();\\n String[] stringArray0 = new String[7];\\n stringArray0[0] = \\\"first-last\\\";\\n stringArray0[1] = \\\"first-last\\\";\\n String string0 = \\\"OOLodY\\\";\\n stringArray0[2] = \\\"OOLodY\\\";\\n stringArray0[3] = \\\"first-last\\\";\\n stringArray0[4] = \\\"first-last\\\";\\n stringArray0[5] = \\\"first-last\\\";\\n stringArray0[6] = \\\"first-last\\\";\\n discretize0.setOptions(stringArray0);\\n discretize0.setBins((-5883));\\n discretize0.desiredWeightOfInstancesPerIntervalTipText();\\n // Undeclared exception!\\n try { \\n discretize0.findNumBins((-5883));\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.filters.unsupervised.attribute.Discretize\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ee73cb91df29435fab1313bb7a448295\",\n \"score\": \"0.5723289\",\n \"text\": \"@Test(timeout = 4000)\\n public void test054() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixSignificance0);\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(2, 0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n \\n resultMatrixPlainText0.clearSummary();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(2, 0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n assertNotNull(resultMatrixGnuPlot1);\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n \\n resultMatrixGnuPlot1.setRowName(3, (String) null);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(1, 0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixCSV0);\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n \\n int[] intArray0 = new int[5];\\n intArray0[0] = 1;\\n intArray0[1] = 0;\\n intArray0[2] = (-358);\\n intArray0[3] = 0;\\n intArray0[4] = 1;\\n resultMatrixCSV0.setRowOrder(intArray0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(5, intArray0.length);\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertArrayEquals(new int[] {1, 0, (-358), 0, 1}, intArray0);\\n \\n String string0 = resultMatrixCSV0.globalInfo();\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(string0);\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n \\n boolean boolean0 = resultMatrixGnuPlot0.getRowHidden(0);\\n assertFalse(boolean0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"401bfb7eba37ca44e7a6856242dfd44d\",\n \"score\": \"0.5720784\",\n \"text\": \"@Test(timeout = 4000)\\n public void test20() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n int int0 = resultMatrixSignificance0.getDefaultRowNameWidth();\\n assertEquals(40, int0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n String string0 = resultMatrixSignificance0.doubleToString(0.0, 0);\\n assertEquals(\\\"0.\\\", string0);\\n assertNotNull(string0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n \\n String string1 = resultMatrixGnuPlot0.toStringRanking();\\n assertEquals(\\\"-ranking data not set-\\\", string1);\\n assertNotNull(string1);\\n assertFalse(string1.equals((Object)string0));\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n \\n int[] intArray0 = new int[2];\\n intArray0[0] = 1;\\n resultMatrixGnuPlot0.setRowNameWidth((-399));\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n \\n int int1 = resultMatrixGnuPlot0.getStdDevPrec();\\n assertEquals(2, int1);\\n assertFalse(int1 == int0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ffd331a681428f40b851c278e572249d\",\n \"score\": \"0.5718492\",\n \"text\": \"@Test(timeout = 4000)\\n public void test015() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixSignificance0);\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(2, 0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixPlainText0);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n \\n resultMatrixPlainText0.clearSummary();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixPlainText0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixLatex0);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(5, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n \\n String string0 = resultMatrixLatex0.padString(\\\"`tptE~4dE!l$&j$b\\\", 0, false);\\n assertEquals(\\\"`tptE~4dE!l$&j$b\\\", string0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(string0);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(5, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixPlainText0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixCSV0);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(5, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixCSV0.getPrintColNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n \\n boolean boolean0 = resultMatrixCSV0.getDefaultEnumerateColNames();\\n assertTrue(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(5, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixCSV0.getPrintColNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(2, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n \\n String[] stringArray0 = new String[3];\\n stringArray0[0] = \\\"(\\\";\\n stringArray0[1] = \\\")\\\";\\n stringArray0[2] = null;\\n ResultMatrixCSV.main(stringArray0);\\n assertEquals(3, stringArray0.length);\\n \\n resultMatrixLatex0.setColName(0, \\\")\\\");\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(5, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n \\n int int0 = resultMatrixLatex0.getSignificanceCount(0, (-752));\\n assertEquals(0, int0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(5, resultMatrixLatex0.getCountWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getVisibleColCount());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n \\n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\\n assertNotNull(resultMatrixLatex1);\\n assertTrue(resultMatrixLatex1.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex1.showAverageTipText());\\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex1.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex1.countWidthTipText());\\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex1.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex1.getCountWidth());\\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex1.colNameWidthTipText());\\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixLatex1.getVisibleColCount());\\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixLatex1.getVisibleRowCount());\\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\\n assertEquals(1, resultMatrixLatex1.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\\n assertFalse(resultMatrixLatex1.getPrintColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex1.getDisplayName());\\n assertEquals(1, resultMatrixLatex1.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex1.meanWidthTipText());\\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex1.showStdDevTipText());\\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex1.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\\n assertEquals(0, resultMatrixLatex1.getRowNameWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex1.globalInfo());\\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\\n assertFalse(resultMatrixLatex1.getShowAverage());\\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex1.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex1.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex1.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\\n assertFalse(resultMatrixLatex1.getShowStdDev());\\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex1.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex1.rowNameWidthTipText());\\n \\n String string1 = resultMatrixLatex1.toStringMatrix();\\n assertEquals(\\\"\\\\\\\\begin{table}[thb]\\\\n\\\\\\\\caption{\\\\\\\\label{labelname}Table Caption}\\\\n\\\\\\\\footnotesize\\\\n{\\\\\\\\centering \\\\\\\\begin{tabular}{lr}\\\\n\\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\nDataset & (1)\\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\nrow0 & \\\\\\\\\\\\\\\\\\\\n\\\\\\\\hline\\\\n\\\\\\\\multicolumn{2}{c}{$\\\\\\\\circ$, $\\\\\\\\bullet$ statistically significant improvement or degradation}\\\\\\\\\\\\\\\\\\\\n\\\\\\\\end{tabular} \\\\\\\\footnotesize \\\\\\\\par}\\\\n\\\\\\\\end{table}\\\\n\\\", string1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\\n assertFalse(string1.equals((Object)string0));\\n assertNotSame(resultMatrixLatex1, resultMatrixLatex0);\\n assertNotNull(string1);\\n assertTrue(resultMatrixLatex1.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex1.showAverageTipText());\\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex1.meanPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex1.countWidthTipText());\\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex1.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex1.getCountWidth());\\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex1.colNameWidthTipText());\\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixLatex1.getVisibleColCount());\\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixLatex1.getVisibleRowCount());\\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\\n assertEquals(1, resultMatrixLatex1.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\\n assertFalse(resultMatrixLatex1.getPrintColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex1.getDisplayName());\\n assertEquals(1, resultMatrixLatex1.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex1.meanWidthTipText());\\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex1.showStdDevTipText());\\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex1.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\\n assertEquals(0, resultMatrixLatex1.getRowNameWidth());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex1.globalInfo());\\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\\n assertFalse(resultMatrixLatex1.getShowAverage());\\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\\n assertTrue(resultMatrixLatex1.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex1.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex1.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\\n assertFalse(resultMatrixLatex1.getShowStdDev());\\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex1.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex1.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex1.rowNameWidthTipText());\\n \\n // Undeclared exception!\\n try { \\n resultMatrixLatex0.toStringHeader();\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 0\\n //\\n verifyException(\\\"weka.experiment.ResultMatrix\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2dab75c4162fd479e0c5f7d2a371cfed\",\n \"score\": \"0.57184136\",\n \"text\": \"@Test\\n\\tpublic void testNormal()\\n\\t{\\n\\t\\tint result = rn.calculateRecovery(500,1000);\\n\\t\\tassertEquals(result,500);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b32732975c9fa518af156356bd3793e\",\n \"score\": \"0.57107395\",\n \"text\": \"@Test(timeout = 4000)\\n public void test050() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n resultMatrixSignificance0.m_RowNameWidth = 2;\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n resultMatrixSignificance0.LOSS_STRING = \\\"mean-width\\\";\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n resultMatrixSignificance0.setCountWidth((-9));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n String string0 = resultMatrixSignificance0.toStringMatrix();\\n assertEquals(\\\"Da (1)\\\\n--------------------\\\\nro \\\\n\\\", string0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(string0);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n resultMatrixSignificance0.setPrintRowNames(false);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n \\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixHTML0);\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n \\n String string1 = resultMatrixSignificance0.enumerateRowNamesTipText();\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", string1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(string1.equals((Object)string0));\\n assertNotNull(string1);\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"08620d3bb5f5bda8a66d9fb8206e0ad6\",\n \"score\": \"0.57095015\",\n \"text\": \"@Test(timeout = 4000)\\n public void test113() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n \\n int[][] intArray0 = new int[3][2];\\n int[] intArray1 = new int[4];\\n intArray1[0] = 0;\\n intArray1[1] = 0;\\n intArray1[2] = 0;\\n intArray1[3] = 0;\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[7];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = 1;\\n intArray2[1] = 1;\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(0, 0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixHTML0);\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n \\n String string0 = resultMatrixHTML0.toStringKey();\\n assertEquals(\\\"<table border=\\\\\\\"1\\\\\\\" cellpadding=\\\\\\\"3\\\\\\\" cellspacing=\\\\\\\"0\\\\\\\">\\\\n <tr><td colspan=\\\\\\\"2\\\\\\\"><b>Key</b></td></tr>\\\\n</table>\\\\n\\\", string0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(string0);\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n \\n double double0 = resultMatrixHTML0.getAverage(4);\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n \\n int int0 = resultMatrixSignificance0.getColNameWidth();\\n assertEquals(0, int0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n \\n boolean boolean0 = resultMatrixHTML0.getColHidden((-794));\\n assertFalse(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(0, resultMatrixHTML0.getColCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixHTML0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n \\n ResultMatrixCSV resultMatrixCSV0 = null;\\n try {\\n resultMatrixCSV0 = new ResultMatrixCSV(1, (-3087));\\n fail(\\\"Expecting exception: NegativeArraySizeException\\\");\\n \\n } catch(NegativeArraySizeException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.experiment.ResultMatrix\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9491772898e494e42e84005b545e5d5\",\n \"score\": \"0.5703255\",\n \"text\": \"@Test(timeout = 4000)\\n public void test149() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(31, 46);\\n resultMatrixSignificance0.setShowAverage(true);\\n resultMatrixSignificance0.padString(\\\"stddev-width\\\", 627);\\n assertTrue(resultMatrixSignificance0.getShowAverage());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c29cdd68f2b64f4387a321ba897a048d\",\n \"score\": \"0.56992507\",\n \"text\": \"@Test(timeout = 4000)\\n public void test033() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n \\n String string0 = resultMatrixSignificance0.getColName(7);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNull(string0);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(2, 0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n \\n resultMatrixPlainText0.clearSummary();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n \\n String[] stringArray0 = new String[9];\\n stringArray0[0] = \\\"$w7]\\\\\\\"$x-O*{$^wl\\\";\\n stringArray0[1] = \\\"\\\";\\n stringArray0[2] = \\\"*\\\";\\n stringArray0[3] = \\\"v\\\";\\n stringArray0[4] = \\\"$w7]\\\\\\\"$x-O*{$^wl\\\";\\n stringArray0[5] = \\\")\\\";\\n stringArray0[6] = \\\"$w7]\\\\\\\"$x-O*{$^wl\\\";\\n stringArray0[7] = \\\"JOR}My?[1>q\\\";\\n stringArray0[8] = \\\")\\\";\\n ResultMatrixPlainText.main(stringArray0);\\n assertEquals(9, stringArray0.length);\\n \\n int[] intArray0 = new int[3];\\n intArray0[0] = 0;\\n intArray0[1] = 2;\\n intArray0[2] = 2;\\n resultMatrixSignificance0.setColOrder(intArray0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(3, intArray0.length);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertArrayEquals(new int[] {0, 2, 2}, intArray0);\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n assertNotNull(resultMatrixGnuPlot1);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n \\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixGnuPlot1);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\\n assertNotNull(resultMatrixSignificance1);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance1.removeFilterNameTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance1.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance1.stdDevPrecTipText());\\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance1.meanWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance1.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance1.printRowNamesTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance1.getDisplayName());\\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance1.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance1.getShowAverage());\\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance1.globalInfo());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance1.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance1.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance1.getRowCount());\\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance1.showStdDevTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance1.countWidthTipText());\\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\\n assertFalse(resultMatrixSignificance1.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance1.rowNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\\n assertFalse(resultMatrixSignificance1.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance1.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance1.significanceWidthTipText());\\n \\n boolean boolean0 = resultMatrixSignificance0.getDefaultShowStdDev();\\n assertFalse(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n \\n String string1 = resultMatrixGnuPlot1.getRowName((-1));\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\\n assertNull(string1);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n \\n int int0 = resultMatrixPlainText0.getDisplayCol((-382));\\n assertEquals((-1), int0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(0, resultMatrixPlainText0.getVisibleRowCount());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixPlainText0.getColCount());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n \\n double double0 = resultMatrixGnuPlot1.getCount(1);\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot1.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot1.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot1.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot1.significanceWidthTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot1.printColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateColNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot1.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot1.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot1.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot1.globalInfo());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot1.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot1.printRowNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot1.meanPrecTipText());\\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot1.getDisplayName());\\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot1.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot1.showAverageTipText());\\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6c7198993ce246b216f11ab1531a3752\",\n \"score\": \"0.5698491\",\n \"text\": \"@Test(timeout = 4000)\\n public void test102() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n \\n int[] intArray0 = new int[4];\\n intArray0[0] = 0;\\n intArray0[1] = 0;\\n intArray0[2] = 0;\\n intArray0[3] = 0;\\n int[] intArray1 = new int[7];\\n assertFalse(intArray1.equals((Object)intArray0));\\n \\n intArray1[0] = 1;\\n intArray1[2] = 2;\\n intArray1[4] = 0;\\n intArray1[5] = 1;\\n intArray0[3] = 2;\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n \\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\";\\n stringArray0[1] = \\\" \\\";\\n resultMatrixGnuPlot0.m_ColNames = stringArray0;\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n \\n resultMatrixGnuPlot0.setRowName(0, \\\"\\\");\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixCSV0);\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n \\n int[] intArray2 = new int[1];\\n assertFalse(intArray2.equals((Object)intArray1));\\n assertFalse(intArray2.equals((Object)intArray0));\\n \\n intArray2[0] = (-358);\\n resultMatrixCSV0.setRowOrder(intArray2);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(intArray2.equals((Object)intArray1));\\n assertFalse(intArray2.equals((Object)intArray0));\\n assertNotSame(intArray2, intArray1);\\n assertNotSame(intArray2, intArray0);\\n assertEquals(1, intArray2.length);\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertArrayEquals(new int[] {(-358)}, intArray2);\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n \\n String string0 = resultMatrixPlainText0.padString(\\\"\\\", 294, false);\\n assertEquals(\\\" \\\", string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(string0);\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n \\n String string1 = resultMatrixPlainText0.toStringSummary();\\n assertEquals(\\\"-summary data not set-\\\", string1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(string1.equals((Object)string0));\\n assertNotNull(string1);\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixPlainText0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(5, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n \\n int int0 = resultMatrixLatex0.getDefaultStdDevPrec();\\n assertEquals(2, int0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(5, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"79ded9507df6089f6214f481c36bd60d\",\n \"score\": \"0.56973666\",\n \"text\": \"@Test(timeout = 4000)\\n public void test128() throws Throwable {\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n int[][] intArray0 = new int[4][4];\\n int[] intArray1 = new int[7];\\n intArray1[0] = 0;\\n intArray1[1] = 2;\\n intArray1[2] = 2;\\n intArray1[3] = 2;\\n intArray1[4] = 1;\\n intArray1[5] = 0;\\n intArray1[6] = (-246);\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(312, 1);\\n resultMatrixSignificance0.setSummary(intArray0, intArray0);\\n resultMatrixSignificance0.setPrintRowNames(true);\\n resultMatrixSignificance0.getDisplayName();\\n resultMatrixSignificance0.getStdDev(1, 2);\\n resultMatrixSignificance0.getVisibleColCount();\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n \\n resultMatrixHTML0.getCount(6);\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2e15b2e6c8967c0c44a27ab259eb5a5d\",\n \"score\": \"0.5686523\",\n \"text\": \"@Test(timeout = 4000)\\n public void test20() throws Throwable {\\n JRip jRip0 = new JRip();\\n DecisionTable decisionTable0 = new DecisionTable();\\n Instances instances0 = decisionTable0.m_dtInstances;\\n Attribute attribute0 = new Attribute(\\\"\\\\\\\"4F/Mq5/c|)\\\", 116);\\n Attribute attribute1 = new Attribute(\\\"@attribute\\\", \\\"d88\\\");\\n JRip.NominalAntd jRip_NominalAntd0 = jRip0.new NominalAntd(attribute1);\\n JRip.NominalAntd jRip_NominalAntd1 = (JRip.NominalAntd)jRip_NominalAntd0.copy();\\n assertEquals(0.0, jRip_NominalAntd1.getMaxInfoGain(), 0.01);\\n assertEquals(Double.NaN, jRip_NominalAntd1.getCover(), 0.01);\\n assertEquals(Double.NaN, jRip_NominalAntd1.getAccuRate(), 0.01);\\n assertEquals(Double.NaN, jRip_NominalAntd1.getAccu(), 0.01);\\n assertEquals(Double.NaN, jRip_NominalAntd1.getAttrValue(), 0.01);\\n \\n JRip jRip1 = new JRip();\\n String string0 = jRip1.minNoTipText();\\n assertEquals(\\\"The minimum total weight of the instances in a rule.\\\", string0);\\n \\n String string1 = jRip0.debugTipText();\\n assertEquals(\\\"Whether debug information is output to the console.\\\", string1);\\n \\n boolean boolean0 = jRip0.getCheckErrorRate();\\n assertTrue(boolean0);\\n \\n String[] stringArray0 = jRip1.getOptions();\\n assertEquals(2, jRip1.getOptimizations());\\n assertEquals(1L, jRip1.getSeed());\\n assertTrue(jRip1.getUsePruning());\\n assertFalse(jRip1.getDebug());\\n assertEquals(11, stringArray0.length);\\n assertEquals(2.0, jRip1.getMinNo(), 0.01);\\n assertEquals(3, jRip1.getFolds());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3ecff3ad4c64450141e14eef05a89d23\",\n \"score\": \"0.5683992\",\n \"text\": \"@Test\\n public void asdf(){\\n target.solution(24);\\n// target.solution(30);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f708fbad5e7f479131bfff9f141d3aa7\",\n \"score\": \"0.5682404\",\n \"text\": \"@Test(timeout = 4000)\\n public void test079() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\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(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n \\n int[] intArray0 = new int[4];\\n intArray0[0] = 0;\\n intArray0[1] = 0;\\n intArray0[2] = 0;\\n intArray0[3] = 0;\\n int[] intArray1 = new int[7];\\n assertFalse(intArray1.equals((Object)intArray0));\\n \\n intArray1[0] = 1;\\n intArray1[2] = 2;\\n intArray1[4] = 0;\\n intArray1[5] = 1;\\n intArray0[3] = 2;\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"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(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\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(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n \\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\";\\n stringArray0[1] = \\\" \\\";\\n resultMatrixGnuPlot0.m_ColNames = stringArray0;\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"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(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\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(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n \\n resultMatrixGnuPlot0.setRowName(0, \\\"\\\");\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"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(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\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(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 1);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixCSV0);\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n \\n int[] intArray2 = new int[1];\\n assertFalse(intArray2.equals((Object)intArray0));\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n resultMatrixCSV0.setEnumerateColNames(false);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n \\n intArray2[0] = (-358);\\n resultMatrixCSV0.setRowOrder(intArray2);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(intArray2.equals((Object)intArray0));\\n assertFalse(intArray2.equals((Object)intArray1));\\n assertNotSame(intArray2, intArray0);\\n assertNotSame(intArray2, intArray1);\\n assertEquals(1, intArray2.length);\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertArrayEquals(new int[] {(-358)}, intArray2);\\n \\n String string0 = resultMatrixCSV0.globalInfo();\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", string0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(string0);\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n \\n boolean boolean0 = resultMatrixGnuPlot0.getRowHidden(2);\\n assertFalse(boolean0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(\\\"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(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\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(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e432fa2f879d2b48404b9513e86733ac\",\n \"score\": \"0.5680121\",\n \"text\": \"@Test(timeout = 4000)\\n public void test24() throws Throwable {\\n JRip jRip0 = new JRip();\\n JRip.RipperRule jRip_RipperRule0 = jRip0.new RipperRule();\\n InputMappedClassifier inputMappedClassifier0 = new InputMappedClassifier();\\n String[] stringArray0 = new String[9];\\n stringArray0[0] = \\\"?{Cuzcj-_4b\\\";\\n stringArray0[1] = \\\"%tO(J z\\\";\\n stringArray0[2] = \\\"4+)l;M_n<UPN\\\";\\n stringArray0[3] = \\\"\\\\nGrowing and pruning Replace ...\\\";\\n stringArray0[4] = \\\"--=8h\\\";\\n stringArray0[5] = \\\"IR\\\\\\\"3C2\\\";\\n stringArray0[6] = \\\"IR\\\\\\\"3C2\\\";\\n stringArray0[7] = \\\"mqVdpB\\\";\\n stringArray0[8] = \\\"k>g6=J]K$\\\";\\n jRip0.setOptions(stringArray0);\\n JRip.RipperRule jRip_RipperRule1 = jRip0.new RipperRule();\\n jRip_RipperRule1.size();\\n jRip_RipperRule1.setConsequent((-651.008404112985));\\n assertEquals((-651.008404112985), jRip_RipperRule1.getConsequent(), 0.01);\\n \\n JRip jRip1 = new JRip();\\n JRip.RipperRule jRip_RipperRule2 = jRip1.new RipperRule();\\n JRip.RipperRule jRip_RipperRule3 = jRip1.new RipperRule();\\n jRip_RipperRule3.hasAntds();\\n Attribute attribute0 = new Attribute(\\\"Using inverse-distance weighting kernels\\\\n\\\");\\n JRip.NominalAntd jRip_NominalAntd0 = jRip1.new NominalAntd(attribute0);\\n double double0 = jRip_NominalAntd0.getAccuRate();\\n assertEquals(Double.NaN, double0, 0.01);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d810c5d5d65045b493d61d9dab3b8ba\",\n \"score\": \"0.56771564\",\n \"text\": \"@Test(timeout = 4000)\\n public void test096() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixLatex0);\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\n String[] stringArray0 = new String[7];\\n stringArray0[0] = \\\"$circ$\\\";\\n stringArray0[1] = \\\")\\\";\\n stringArray0[2] = \\\" \\\";\\n resultMatrixLatex0.clear();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\n String[][] stringArray1 = resultMatrixLatex0.toArray();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(stringArray1);\\n assertEquals(3, stringArray1.length);\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\n int[] intArray0 = new int[3];\\n intArray0[0] = (-2519);\\n intArray0[1] = (-1064);\\n intArray0[2] = 0;\\n resultMatrixLatex0.m_RowOrder = intArray0;\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\n stringArray0[3] = \\\"(\\\";\\n resultMatrixLatex0.setEnumerateRowNames(false);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\n stringArray0[4] = \\\"$\\\\bullet$\\\";\\n resultMatrixLatex0.setShowAverage(false);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\n stringArray0[5] = \\\"$\\\\bullet$\\\";\\n stringArray0[6] = \\\"$\\\\bullet$\\\";\\n resultMatrixLatex0.setOptions(stringArray0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(7, stringArray0.length);\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\n int[] intArray1 = new int[1];\\n assertFalse(intArray1.equals((Object)intArray0));\\n \\n intArray1[0] = 26;\\n resultMatrixLatex0.m_ColOrder = intArray1;\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\n double double0 = resultMatrixLatex0.getMean(26, 97);\\n assertEquals(0.0, double0, 0.01);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\n String[][] stringArray2 = resultMatrixLatex0.toArray();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(stringArray2.equals((Object)stringArray1));\\n assertNotSame(stringArray2, stringArray1);\\n assertNotNull(stringArray2);\\n assertEquals(3, stringArray2.length);\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\n int int0 = resultMatrixLatex0.getDefaultRowNameWidth();\\n assertEquals(0, int0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n \\n // Undeclared exception!\\n try { \\n resultMatrixLatex0.getColSize(stringArray2, 0, false, false);\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.experiment.ResultMatrix\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aad4c13213078d0f11da88f0f368912d\",\n \"score\": \"0.56748563\",\n \"text\": \"@SuppressWarnings(\\\"unchecked\\\")\\r\\n private void generateTestcases(int p_size, int p_noiseLevel,\\r\\n int p_incompletenessLevel) {\\r\\n int p, i, j, r, ffc, max, one, zero;\\r\\n Random random;\\r\\n ArrayList<Integer> pos, pos2;\\r\\n int testcase[];\\r\\n\\r\\n p = this.phenotypeLength;\\r\\n i = 0;\\r\\n j = 0;\\r\\n r = 0;\\r\\n random = new Random();\\r\\n\\r\\n this.testCaseCount = p_size;\\r\\n this.testCases = new int[p_size][p];\\r\\n\\r\\n pos = new ArrayList<Integer>();\\r\\n for (i = p - 1; i >= 0; --i)\\r\\n pos.add(new Integer(i));\\r\\n\\r\\n for (i = 0; i < p_size; ++i) {\\r\\n testcase = new int[p];\\r\\n for (j = p - 1; j >= 0; --j)\\r\\n testcase[j] = (j ^ 1) & 1;\\r\\n\\r\\n pos2 = (ArrayList<Integer>) pos.clone();\\r\\n for (j = this.internalIncompletenessDifficultyLevel - 1; j >= 0; --j) {\\r\\n r = random.nextInt(pos2.size());\\r\\n testcase[pos2.get(r).intValue()] = 2;\\r\\n pos2.remove(r);\\r\\n }\\r\\n\\r\\n for (j = this.internalNoiseDifficultyLevel - 1; j >= 0; --j) {\\r\\n r = random.nextInt(pos2.size());\\r\\n testcase[pos2.get(r).intValue()] ^= 1;\\r\\n pos2.remove(r);\\r\\n }\\r\\n\\r\\n this.testCases[i] = testcase;\\r\\n }\\r\\n\\r\\n byte[] correctSolution = new byte[(this.phenotypeLength >> 3) + 1];\\r\\n for (i = correctSolution.length - 1; i >= 0; --i)\\r\\n correctSolution[i] = (byte) this.SOLUTION_VALUE;\\r\\n\\r\\n ffc = this.functionalObjectiveFunctionCount;\\r\\n this.functionalObjectiveFunctionCount = 1;\\r\\n\\r\\n this.minimumFitnessToSuccess = this\\r\\n .calculateFunctionalObjectivFitness(correctSolution, 0,\\r\\n this.phenotypeLength);\\r\\n \\r\\n max = 0;\\r\\n \\r\\n for( i = 0; i < p; ++i )\\r\\n {\\r\\n one = 0;\\r\\n zero = 0;\\r\\n \\r\\n for( j = 0; j < p_size; ++j )\\r\\n {\\r\\n if( this.testCases[j][i] == 1)\\r\\n ++one;\\r\\n else if( this.testCases[j][i] == 0 )\\r\\n ++zero;\\r\\n }\\r\\n \\r\\n max += Math.max(one, zero);\\r\\n }\\r\\n \\r\\n this.maximumFitness = max;\\r\\n\\r\\n this.functionalObjectiveFunctionCount = ffc;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5b32dcc2e3ed4162ea926aa573693e63\",\n \"score\": \"0.56670517\",\n \"text\": \"private static void testFile(FileSystem fs, Path inPath, Path outPath, DataConverter converter, DecisionForest forest,\\n\\t\\t\\t\\t\\t Dataset dataset, Random rng) throws IOException {\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t\\tint tp = 0;\\n\\t\\t\\t\\t\\tint fp = 0;\\n\\t\\t\\t\\t\\tint fn = 0;\\n\\t\\t\\t\\t\\tint tn = 0;\\n\\t\\t\\t\\t\\tint total_test = 0;\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t FSDataOutputStream ofile = null;\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t if (outPath != null) {\\n\\t\\t\\t\\t ofile = fs.create(outPath);\\n\\t\\t\\t\\t }\\n\\n\\t\\t\\t\\t FSDataInputStream input = fs.open(inPath);\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t\\t// Start test\\n\\t\\t\\t\\t\\tDate teststart = new Date();\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"Start Predict \\\" + teststart);\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t try {\\n\\t\\t\\t\\t\\t System.out.println(\\\"begin scan\\\");\\n\\t\\t\\tScanner scanner = new Scanner(input);\\n\\t\\t\\t\\t\\t \\n\\t\\t\\t\\t while (scanner.hasNextLine()) {\\n\\t\\t\\t\\t String line = scanner.nextLine();\\n//\\t\\t\\t\\t System.out.println(line);\\n\\t\\t\\t\\t if (line.isEmpty()) {\\n\\t\\t\\t\\t continue; // skip empty lines\\n\\t\\t\\t\\t }\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t Instance instance = converter.convert(line);\\n\\t\\t\\t\\t double prediction = forest.classify(dataset, rng, instance);\\n\\t\\t\\t\\t double truelable = dataset.getLabel(instance);\\n//\\t\\t\\t\\t System.out.println(\\\"truelable \\\" + truelable);\\n//\\t\\t\\t\\t System.out.println(\\\"prediction \\\" + prediction);\\n\\t\\t\\t\\t \\n//\\t\\t\\t\\t if (ofile != null) {\\n//\\t\\t\\t\\t ofile.writeChars(Double.toString(prediction)); // write the prediction\\n//\\t\\t\\t\\t ofile.writeChar('\\\\n');\\n//\\t\\t\\t\\t }\\n\\t\\t\\t\\t \\n//\\t\\t\\t\\t results.add(new double[] {dataset.getLabel(instance), prediction});\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t if ( truelable == 0.0 && prediction == 0.0) {\\n\\t\\t\\t\\t \\t tn ++; total_test++;\\n\\t\\t\\t\\t }else if(truelable != 0.0 && prediction == 0.0) {\\n\\t\\t\\t\\t \\t fn ++; total_test++;\\n\\t\\t\\t\\t }else if (truelable == 0.0 && prediction != 0.0) {\\n\\t\\t\\t\\t \\t fp ++; total_test++;\\n\\t\\t\\t\\t }else if (truelable != 0.0 && prediction != 0.0) {\\n\\t\\t\\t\\t \\t tp ++ ;total_test++;\\n\\t\\t\\t\\t }else {total_test++;}\\n\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t }\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t\\t\\t// Test End\\n\\t\\t\\t\\t\\t\\tDate testend = new Date();\\n\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"End prediction \\\" + testend);\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t\\t\\t// calculate accuracy\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\tdouble accuracy, DR, FPR, Precision, Recall,F1;\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\taccuracy = (double)((double)(tp+tn) / (double)(tp+fp+fn+tn));\\n\\t\\t\\t\\t\\t\\tDR = (double)(tp/(double)(tp+fp));\\n\\t\\t\\t\\t\\t\\tFPR = (double)fp / (double)(fp+tn);\\n\\t\\t\\t\\t\\t\\tPrecision = (double)tp / (double)(tp+fp);\\n\\t\\t\\t\\t\\t\\tRecall = (double)tp /(double) (tp+fn);\\n\\t\\t\\t\\t\\t\\tF1 =(double)( 2.0 / (double)( ( 1/Precision ) + ( 1 / Recall) ));\\n\\t\\t\\t\\t \\n\\t\\t \\t\\t\\tSystem.out.println(\\\"********************Metrics********************\\\" );\\n\\t\\t \\t\\t\\t\\n\\t\\t \\t\\t\\tSystem.out.println(\\\"total test data = \\\" + total_test);\\n\\t\\t \\t\\t\\tSystem.out.println(\\\"tp:\\\" +tp + \\\" fp:\\\" +fp +\\\" fn:\\\" +fn + \\\" tn:\\\" +tn);\\n\\t\\t \\t\\t\\tSystem.out.println(\\\"accuracy = \\\" + accuracy);\\n\\t\\t \\t\\t\\tSystem.out.println(\\\"Detection Rate = \\\" + DR);\\n\\t\\t \\t\\t\\tSystem.out.println(\\\"False positive rate = \\\" + FPR);\\n\\t\\t \\t\\t\\tSystem.out.println(\\\"Precision = \\\" + Precision);\\n\\t\\t \\t\\t\\tSystem.out.println(\\\"Recall = \\\" + Recall);\\n\\t\\t \\t\\t\\tSystem.out.println(\\\"F1 score = \\\" + F1);\\n\\t\\t \\t\\t\\t\\n\\t\\t \\t\\t\\tSystem.out.println(\\\"Predict Time = \\\" + (testend.getTime() - teststart.getTime() ) + \\\" milliseconds\\\" );\\n\\n\\t\\t\\t\\t \\n\\t\\t\\t\\t scanner.close(); \\n\\t\\t\\t\\t }\\n\\t\\t\\t\\t finally {\\n\\t\\t\\t\\t\\t Closeables.closeQuietly(input);\\n\\t\\t\\t\\t }\\n\\t\\t\\t\\t \\n\\t\\t\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9a444185dc74f7bee24f3e73baf4a3c7\",\n \"score\": \"0.5663377\",\n \"text\": \"@Test(timeout = 4000)\\n public void test09() throws Throwable {\\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\\n Instances instances0 = textDirectoryLoader0.getDataSet();\\n Vector<NaiveBayesMultinomial> vector0 = new Vector<NaiveBayesMultinomial>();\\n instances0.removeAll(vector0);\\n Evaluation evaluation0 = new Evaluation(instances0);\\n evaluation0.equals(textDirectoryLoader0);\\n TechnicalInformationHandlerJavadoc technicalInformationHandlerJavadoc0 = new TechnicalInformationHandlerJavadoc();\\n evaluation0.equals(technicalInformationHandlerJavadoc0);\\n evaluation0.numTrueNegatives(0);\\n evaluation0.SFPriorEntropy();\\n Evaluation evaluation1 = new Evaluation(instances0);\\n double[] doubleArray0 = new double[1];\\n doubleArray0[0] = (double) 0;\\n try { \\n evaluation0.evaluationForSingleInstance(doubleArray0, (Instance) null, false);\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.classifiers.Evaluation\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"250a84757189b875841e8bde609f5810\",\n \"score\": \"0.5656555\",\n \"text\": \"@Test(timeout = 4000)\\n public void test064() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixSignificance0);\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n \\n resultMatrixSignificance0.m_RowNameWidth = 2;\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n \\n resultMatrixSignificance0.LOSS_STRING = \\\"anwdt\\\\\\\"\\\";\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n \\n resultMatrixSignificance0.setCountWidth((-9));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n \\n resultMatrixSignificance0.setStdDevPrec((-9));\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n \\n String string0 = resultMatrixSignificance0.toStringSummary();\\n assertEquals(\\\"-summary data not set-\\\", string0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(string0);\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n \\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixHTML0);\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(114, 0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(114, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(114, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\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.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n \\n String string1 = resultMatrixLatex0.globalInfo();\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", string1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(string1.equals((Object)string0));\\n assertNotNull(string1);\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(114, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(114, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\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.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n \\n int int0 = resultMatrixHTML0.getColCount();\\n assertEquals(1, int0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"94adf85e9e3f80b97f5a60af5e6616cf\",\n \"score\": \"0.5655855\",\n \"text\": \"@Test(timeout = 4000)\\n public void test060() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\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 assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n \\n int[][] intArray0 = new int[3][2];\\n resultMatrixSignificance0.m_NonSigWins = intArray0;\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\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 assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n \\n int[] intArray1 = new int[4];\\n boolean[] booleanArray0 = new boolean[4];\\n booleanArray0[0] = false;\\n booleanArray0[1] = true;\\n booleanArray0[2] = true;\\n booleanArray0[3] = false;\\n resultMatrixSignificance0.m_RowHidden = booleanArray0;\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\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 assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n \\n intArray1[0] = 0;\\n intArray1[1] = 0;\\n intArray1[2] = 0;\\n intArray1[3] = 0;\\n intArray0[0] = intArray1;\\n int[] intArray2 = new int[7];\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = 1;\\n intArray2[1] = 1;\\n intArray2[2] = 2;\\n intArray2[3] = 2;\\n intArray2[4] = 0;\\n String string0 = resultMatrixSignificance0.getRowName(2138);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNull(string0);\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\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 assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n \\n intArray2[5] = 1;\\n intArray2[6] = 2;\\n intArray0[1] = intArray2;\\n int[] intArray3 = new int[6];\\n assertFalse(intArray3.equals((Object)intArray1));\\n assertFalse(intArray3.equals((Object)intArray2));\\n \\n intArray3[0] = 2;\\n intArray3[1] = 0;\\n intArray3[2] = 0;\\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(0, 0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\\n assertNotNull(resultMatrixSignificance1);\\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance1.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance1.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance1.showAverageTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance1.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance1.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance1.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance1.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance1.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\\n assertFalse(resultMatrixSignificance1.getShowStdDev());\\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance1.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance1.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance1.getVisibleColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance1.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance1.getShowAverage());\\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance1.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance1.getPrintColNames());\\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance1.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance1.meanWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getColCount());\\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getRowCount());\\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance1.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance1.showStdDevTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixSignificance1);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance1.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance1.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance1.showAverageTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance1.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance1.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance1.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance1.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance1.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\\n assertFalse(resultMatrixSignificance1.getShowStdDev());\\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance1.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance1.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance1.getVisibleColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance1.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance1.getShowAverage());\\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance1.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance1.getPrintColNames());\\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance1.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance1.meanWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getColCount());\\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getRowCount());\\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance1.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance1.showStdDevTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n \\n resultMatrixSignificance1.m_StdDevWidth = 0;\\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance1.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance1.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance1.showAverageTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance1.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance1.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance1.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance1.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance1.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\\n assertFalse(resultMatrixSignificance1.getShowStdDev());\\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance1.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance1.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance1.getVisibleColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance1.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance1.getShowAverage());\\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance1.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance1.getPrintColNames());\\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance1.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance1.meanWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getColCount());\\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getRowCount());\\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance1.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance1.showStdDevTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\\n \\n String string1 = resultMatrixGnuPlot0.getColName(4019);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\\n assertNotSame(resultMatrixSignificance1, resultMatrixSignificance0);\\n assertNull(string1);\\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance1.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance1.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance1.showAverageTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance1.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance1.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance1.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance1.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance1.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\\n assertFalse(resultMatrixSignificance1.getShowStdDev());\\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance1.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance1.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance1.getVisibleColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance1.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance1.getShowAverage());\\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance1.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance1.getPrintColNames());\\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance1.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance1.meanWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getColCount());\\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getRowCount());\\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance1.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance1.showStdDevTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n \\n boolean boolean0 = resultMatrixGnuPlot0.getDefaultShowAverage();\\n assertFalse(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\\n assertNotSame(resultMatrixSignificance1, resultMatrixSignificance0);\\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance1.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance1.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance1.showAverageTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance1.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance1.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance1.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance1.significanceWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance1.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\\n assertFalse(resultMatrixSignificance1.getShowStdDev());\\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance1.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance1.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance1.getVisibleColCount());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance1.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance1.getShowAverage());\\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance1.globalInfo());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance1.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\\n assertFalse(resultMatrixSignificance1.getPrintColNames());\\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance1.countWidthTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance1.meanWidthTipText());\\n assertEquals(0, resultMatrixSignificance1.getColCount());\\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance1.getRowCount());\\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance1.getVisibleRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance1.showStdDevTipText());\\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"68e9837bd16cc545c5735cad06419396\",\n \"score\": \"0.56558263\",\n \"text\": \"@Test(timeout = 4000)\\n public void test049() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\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 assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n \\n int[] intArray0 = new int[4];\\n intArray0[0] = 0;\\n intArray0[1] = 0;\\n intArray0[2] = 0;\\n intArray0[3] = 0;\\n int[] intArray1 = new int[7];\\n assertFalse(intArray1.equals((Object)intArray0));\\n \\n intArray1[0] = 1;\\n intArray1[2] = 2;\\n intArray1[4] = 0;\\n intArray1[5] = 1;\\n intArray0[3] = 2;\\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\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 counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\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(\\\"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 \\n String[] stringArray0 = new String[2];\\n stringArray0[0] = \\\"\\\";\\n stringArray0[1] = \\\" \\\";\\n resultMatrixGnuPlot0.m_ColNames = stringArray0;\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\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 counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\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(\\\"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 \\n resultMatrixGnuPlot0.setRowName(0, \\\"\\\");\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\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 counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\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(\\\"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 \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixCSV0);\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n \\n int[] intArray2 = new int[1];\\n assertFalse(intArray2.equals((Object)intArray0));\\n assertFalse(intArray2.equals((Object)intArray1));\\n \\n intArray2[0] = (-358);\\n resultMatrixCSV0.setRowOrder(intArray2);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(intArray2.equals((Object)intArray0));\\n assertFalse(intArray2.equals((Object)intArray1));\\n assertNotSame(intArray2, intArray0);\\n assertNotSame(intArray2, intArray1);\\n assertEquals(1, intArray2.length);\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertArrayEquals(new int[] {(-358)}, intArray2);\\n \\n String string0 = resultMatrixCSV0.globalInfo();\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", string0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(string0);\\n assertEquals(1, resultMatrixCSV0.getRowCount());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n \\n boolean boolean0 = resultMatrixGnuPlot0.getRowHidden(2);\\n assertFalse(boolean0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\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 counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\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(\\\"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 \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixSignificance0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\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 assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\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(40, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\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(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n \\n resultMatrixLatex0.setMeanPrec(0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\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 assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\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(40, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\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(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n \\n String string1 = resultMatrixLatex0.globalInfo();\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", string1);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertFalse(string1.equals((Object)string0));\\n assertNotNull(string1);\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\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 assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getMeanPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\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(40, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\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(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n \\n boolean boolean1 = resultMatrixGnuPlot0.isStdDev(0);\\n assertFalse(boolean1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertTrue(boolean1 == boolean0);\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\\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 counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\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(\\\"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 }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a2559d87cc5cfaad0a84ce9cc2a00ded\",\n \"score\": \"0.5651741\",\n \"text\": \"@Test(timeout = 4000)\\n public void test166() throws Throwable {\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixHTML0);\\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(2, 0);\\n int int0 = resultMatrixLatex0.getMeanWidth();\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(0, int0);\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(1, resultMatrixLatex0.getRowCount());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b3e7702b390f84967b1cd1a90ead8026\",\n \"score\": \"0.56506604\",\n \"text\": \"@Test\\n public void test58() throws Throwable {\\n SeqClassifierFlags seqClassifierFlags0 = new SeqClassifierFlags();\\n assertEquals(\\\"\\\", seqClassifierFlags0.toString());\\n assertNotNull(seqClassifierFlags0);\\n assertEquals(50, seqClassifierFlags0.SGD2QNhessSamples);\\n assertTrue(seqClassifierFlags0.useSequences);\\n assertFalse(seqClassifierFlags0.useBoundarySequences);\\n assertFalse(seqClassifierFlags0.combo);\\n assertFalse(seqClassifierFlags0.useGoodForNamesCpC);\\n assertFalse(seqClassifierFlags0.casedDistSim);\\n assertFalse(seqClassifierFlags0.useTypeySequences);\\n assertFalse(seqClassifierFlags0.useNoisyNonNoisyFeature);\\n assertFalse(seqClassifierFlags0.useTypeSeqs3);\\n assertFalse(seqClassifierFlags0.useTypeSeqs2);\\n assertFalse(seqClassifierFlags0.useCRFforUnsup);\\n assertEquals(1.0E-4, seqClassifierFlags0.tolerance, 0.01D);\\n assertFalse(seqClassifierFlags0.printWeights);\\n assertFalse(seqClassifierFlags0.greekifyNGrams);\\n assertFalse(seqClassifierFlags0.useTrainLexicon);\\n assertFalse(seqClassifierFlags0.randomLopFeatureSplit);\\n assertFalse(seqClassifierFlags0.useWEBFreqDict);\\n assertFalse(seqClassifierFlags0.useDictleng);\\n assertFalse(seqClassifierFlags0.useHk);\\n assertFalse(seqClassifierFlags0.useNextRealWord);\\n assertFalse(seqClassifierFlags0.useMUCFeatures);\\n assertFalse(seqClassifierFlags0.useDict2);\\n assertFalse(seqClassifierFlags0.testHessSamples);\\n assertFalse(seqClassifierFlags0.removeBackgroundSingletonFeatures);\\n assertFalse(seqClassifierFlags0.deleteBlankLines);\\n assertFalse(seqClassifierFlags0.includeFullCRFInLOP);\\n assertEquals(0.1, seqClassifierFlags0.dualDecompInitialStepSize, 0.01D);\\n assertEquals((-1), seqClassifierFlags0.arbitraryInputLayerSize);\\n assertFalse(seqClassifierFlags0.usePrediction2);\\n assertFalse(seqClassifierFlags0.useParenMatching);\\n assertEquals(0.0, seqClassifierFlags0.removeTopNPercent, 0.01D);\\n assertFalse(seqClassifierFlags0.useWEB);\\n assertFalse(seqClassifierFlags0.useDictCTB2);\\n assertFalse(seqClassifierFlags0.useTopics);\\n assertEquals(0, seqClassifierFlags0.dualDecompMaxItr);\\n assertFalse(seqClassifierFlags0.groupByFeatureTemplate);\\n assertEquals(0.1, seqClassifierFlags0.initialGain, 0.01D);\\n assertEquals(0.0, seqClassifierFlags0.priorLambda, 0.01D);\\n assertFalse(seqClassifierFlags0.bioSubmitOutput);\\n assertFalse(seqClassifierFlags0.usePre);\\n assertFalse(seqClassifierFlags0.transitionEdgeOnly);\\n assertFalse(seqClassifierFlags0.useQuartic);\\n assertFalse(seqClassifierFlags0.useDisjunctiveShapeInteraction);\\n assertFalse(seqClassifierFlags0.strictlySecondOrder);\\n assertFalse(seqClassifierFlags0.useFloat);\\n assertFalse(seqClassifierFlags0.addBiasToEmbedding);\\n assertFalse(seqClassifierFlags0.useASBCSuf1);\\n assertFalse(seqClassifierFlags0.dropoutApprox);\\n assertFalse(seqClassifierFlags0.useAs);\\n assertFalse(seqClassifierFlags0.regularizeSoftmaxTieParam);\\n assertFalse(seqClassifierFlags0.dump);\\n assertFalse(seqClassifierFlags0.useSeenFeaturesOnly);\\n assertFalse(seqClassifierFlags0.useNegHKDict2);\\n assertFalse(seqClassifierFlags0.useHardGE);\\n assertEquals(0.0, seqClassifierFlags0.l1reg, 0.01D);\\n assertFalse(seqClassifierFlags0.useNegCTBDict2);\\n assertFalse(seqClassifierFlags0.useRadical);\\n assertFalse(seqClassifierFlags0.useChPos);\\n assertFalse(seqClassifierFlags0.removeStrictGoodCoNLLDuplicates);\\n assertFalse(seqClassifierFlags0.fakeDataset);\\n assertFalse(seqClassifierFlags0.useNegCTBDict4);\\n assertFalse(seqClassifierFlags0.useNegCTBDict3);\\n assertFalse(seqClassifierFlags0.useSegmentation);\\n assertFalse(seqClassifierFlags0.useNB);\\n assertFalse(seqClassifierFlags0.useNegHKDict3);\\n assertFalse(seqClassifierFlags0.useNegHKDict4);\\n assertFalse(seqClassifierFlags0.intern2);\\n assertFalse(seqClassifierFlags0.retainEntitySubclassification);\\n assertFalse(seqClassifierFlags0.useHybrid);\\n assertFalse(seqClassifierFlags0.useWordn);\\n assertFalse(seqClassifierFlags0.readStdin);\\n assertFalse(seqClassifierFlags0.dualDecompAlignment);\\n assertFalse(seqClassifierFlags0.useShapeConjunctions);\\n assertFalse(seqClassifierFlags0.useGazettes);\\n assertEquals(25, seqClassifierFlags0.QNsize);\\n assertFalse(seqClassifierFlags0.useLemmas);\\n assertEquals(25, seqClassifierFlags0.QNsize2);\\n assertFalse(seqClassifierFlags0.useUnicodeBlock);\\n assertTrue(seqClassifierFlags0.learnCHBasedOnEN);\\n assertFalse(seqClassifierFlags0.useBeginSent);\\n assertFalse(seqClassifierFlags0.expandMidDot);\\n assertFalse(seqClassifierFlags0.normalizeTerms);\\n assertFalse(seqClassifierFlags0.evaluateBackground);\\n assertFalse(seqClassifierFlags0.useSuf);\\n assertFalse(seqClassifierFlags0.useEntityTypeSequences);\\n assertEquals(0, seqClassifierFlags0.numTimesPruneFeatures);\\n assertFalse(seqClassifierFlags0.useAcqPrior);\\n assertFalse(seqClassifierFlags0.useRad2b);\\n assertFalse(seqClassifierFlags0.usePhraseWordTags);\\n assertEquals(0, seqClassifierFlags0.hybridCutoffIteration);\\n assertEquals(10, seqClassifierFlags0.totalDataSlice);\\n assertFalse(seqClassifierFlags0.subCWGaz);\\n assertFalse(seqClassifierFlags0.dehyphenateNGrams);\\n assertEquals(1, seqClassifierFlags0.endFold);\\n assertFalse(seqClassifierFlags0.doAdaptation);\\n assertTrue(seqClassifierFlags0.useQN);\\n assertFalse(seqClassifierFlags0.useWideDisjunctive);\\n assertFalse(seqClassifierFlags0.useNoisyLabel);\\n assertFalse(seqClassifierFlags0.blockInitialize);\\n assertEquals(0, seqClassifierFlags0.multiThreadGibbs);\\n assertEquals(0.0, seqClassifierFlags0.dropoutRate, 0.01D);\\n assertFalse(seqClassifierFlags0.useReverse);\\n assertFalse(seqClassifierFlags0.useBagOfWords);\\n assertEquals(10, seqClassifierFlags0.totalFeatureSlice);\\n assertFalse(seqClassifierFlags0.tuneSGD);\\n assertEquals((-1), seqClassifierFlags0.samplingSpeedUpThreshold);\\n assertEquals(0.1, seqClassifierFlags0.gainSGD, 0.01D);\\n assertFalse(seqClassifierFlags0.useSentenceNumber);\\n assertFalse(seqClassifierFlags0.useOrdinal);\\n assertFalse(seqClassifierFlags0.useAbbr1);\\n assertFalse(seqClassifierFlags0.testVariance);\\n assertEquals(100, seqClassifierFlags0.printClassifierParam);\\n assertFalse(seqClassifierFlags0.useSymWordPairs);\\n assertFalse(seqClassifierFlags0.prependEmbedding);\\n assertEquals((-1), seqClassifierFlags0.maxNGramLeng);\\n assertEquals(0.0, seqClassifierFlags0.alignmentPruneThreshold, 0.01D);\\n assertFalse(seqClassifierFlags0.keepAllWhitespaces);\\n assertFalse(seqClassifierFlags0.useOutDict2);\\n assertFalse(seqClassifierFlags0.useLastRealWord);\\n assertEquals(0.0, seqClassifierFlags0.pctSegmenterScale, 0.01D);\\n assertFalse(seqClassifierFlags0.useNERPrior);\\n assertTrue(seqClassifierFlags0.useHiddenLayer);\\n assertFalse(seqClassifierFlags0.usePk);\\n assertFalse(seqClassifierFlags0.useFREQ);\\n assertFalse(seqClassifierFlags0.baseline);\\n assertEquals((-1), seqClassifierFlags0.SGDPasses);\\n assertEquals(1, seqClassifierFlags0.startFold);\\n assertFalse(seqClassifierFlags0.normalize);\\n assertEquals(1, seqClassifierFlags0.numFolds);\\n assertFalse(seqClassifierFlags0.usePKChar2);\\n assertEquals(0, seqClassifierFlags0.maxDocSize);\\n assertTrue(seqClassifierFlags0.initViterbi);\\n assertFalse(seqClassifierFlags0.usePrev);\\n assertFalse(seqClassifierFlags0.useMoreTags);\\n assertFalse(seqClassifierFlags0.useStochasticQN);\\n assertFalse(seqClassifierFlags0.useOWLQN);\\n assertFalse(seqClassifierFlags0.powerAlignProb);\\n assertFalse(seqClassifierFlags0.suppressMidDotPostprocessing);\\n assertFalse(seqClassifierFlags0.useNGrams);\\n assertFalse(seqClassifierFlags0.useURLSequences);\\n assertFalse(seqClassifierFlags0.restrictTransitionsTimit);\\n assertFalse(seqClassifierFlags0.cacheNGrams);\\n assertFalse(seqClassifierFlags0.noNeighborConstraints);\\n assertFalse(seqClassifierFlags0.useWord4);\\n assertFalse(seqClassifierFlags0.useWord3);\\n assertFalse(seqClassifierFlags0.useWord2);\\n assertFalse(seqClassifierFlags0.useScaledSGD);\\n assertFalse(seqClassifierFlags0.noMidNGrams);\\n assertFalse(seqClassifierFlags0.useWordPairs);\\n assertFalse(seqClassifierFlags0.useSGDtoQN);\\n assertFalse(seqClassifierFlags0.useIfInteger);\\n assertFalse(seqClassifierFlags0.nonLinearCRF);\\n assertFalse(seqClassifierFlags0.useLC);\\n assertEquals(0, seqClassifierFlags0.numOfSlices);\\n assertFalse(seqClassifierFlags0.useTitle);\\n assertFalse(seqClassifierFlags0.useSum);\\n assertEquals((-1), seqClassifierFlags0.wordShape);\\n assertFalse(seqClassifierFlags0.normalizeTimex);\\n assertFalse(seqClassifierFlags0.useKL);\\n assertFalse(seqClassifierFlags0.useDictPK2);\\n assertEquals(1, seqClassifierFlags0.kBest);\\n assertFalse(seqClassifierFlags0.largeChSegFile);\\n assertFalse(seqClassifierFlags0.useMoreGazFeatures);\\n assertFalse(seqClassifierFlags0.useDictionaryConjunctions);\\n assertEquals(1, seqClassifierFlags0.numTimesRemoveTopN);\\n assertFalse(seqClassifierFlags0.useMinimalAbbr1);\\n assertEquals(0.9, seqClassifierFlags0.selfTrainConfidenceThreshold, 0.01D);\\n assertFalse(seqClassifierFlags0.usePosition);\\n assertFalse(seqClassifierFlags0.useRule2);\\n assertFalse(seqClassifierFlags0.useWordShapeGaz);\\n assertFalse(seqClassifierFlags0.useWord1);\\n assertFalse(seqClassifierFlags0.outputIterationsToFile);\\n assertFalse(seqClassifierFlags0.softmaxOutputLayer);\\n assertEquals(0, seqClassifierFlags0.multiThreadClassifier);\\n assertFalse(seqClassifierFlags0.useVB);\\n assertEquals(0.0, seqClassifierFlags0.softmaxTieLambda, 0.01D);\\n assertFalse(seqClassifierFlags0.useCommonWordsFeature);\\n assertFalse(seqClassifierFlags0.useMinimalAbbr);\\n assertFalse(seqClassifierFlags0.useAdaGradFOBOS);\\n assertFalse(seqClassifierFlags0.useUnicodeType4gram);\\n assertFalse(seqClassifierFlags0.useLongSequences);\\n assertFalse(seqClassifierFlags0.sighanPostProcessing);\\n assertEquals(0, seqClassifierFlags0.numOfFeatureSlices);\\n assertFalse(seqClassifierFlags0.useDisjunctive);\\n assertFalse(seqClassifierFlags0.verboseMode);\\n assertFalse(seqClassifierFlags0.useTypeSeqs);\\n assertFalse(seqClassifierFlags0.useNPGovernor);\\n assertFalse(seqClassifierFlags0.useEitherSideDisjunctive);\\n assertFalse(seqClassifierFlags0.printXML);\\n assertFalse(seqClassifierFlags0.splitOnHead);\\n assertFalse(seqClassifierFlags0.useMoreAbbr);\\n assertFalse(seqClassifierFlags0.useChunks);\\n assertFalse(seqClassifierFlags0.useABSTR);\\n assertFalse(seqClassifierFlags0.terminateOnEvalImprovement);\\n assertFalse(seqClassifierFlags0.useDictionaryConjunctions3);\\n assertEquals(0.1, seqClassifierFlags0.initRate, 0.01D);\\n assertFalse(seqClassifierFlags0.ocrTrain);\\n assertEquals(8, seqClassifierFlags0.maxAllowedChromaticSize);\\n assertFalse(seqClassifierFlags0.useSymTags);\\n assertEquals(1.0, seqClassifierFlags0.dropoutScale, 0.01D);\\n assertFalse(seqClassifierFlags0.useNextSequences);\\n assertFalse(seqClassifierFlags0.strictlyZeroethOrder);\\n assertEquals((-1), seqClassifierFlags0.QNPasses);\\n assertFalse(seqClassifierFlags0.printNR);\\n assertFalse(seqClassifierFlags0.mergeTags);\\n assertFalse(seqClassifierFlags0.useCorefFeatures);\\n assertFalse(seqClassifierFlags0.useDisjShape);\\n assertFalse(seqClassifierFlags0.evaluateTrain);\\n assertEquals(1000, seqClassifierFlags0.wordSegBeamSize);\\n assertEquals(1.0, seqClassifierFlags0.unsupDropoutScale, 0.01D);\\n assertFalse(seqClassifierFlags0.use4Clique);\\n assertEquals(30, seqClassifierFlags0.beamSize);\\n assertFalse(seqClassifierFlags0.printFactorTable);\\n assertFalse(seqClassifierFlags0.useSigmoid);\\n assertFalse(seqClassifierFlags0.useNumberFeature);\\n assertFalse(seqClassifierFlags0.groupByInput);\\n assertTrue(seqClassifierFlags0.useMemoryEvaluator);\\n assertFalse(seqClassifierFlags0.memoryThrift);\\n assertFalse(seqClassifierFlags0.groupByHiddenUnit);\\n assertTrue(seqClassifierFlags0.separateASCIIandRange);\\n assertTrue(seqClassifierFlags0.applyNERPenalty);\\n assertFalse(seqClassifierFlags0.printTrainLabels);\\n assertFalse(seqClassifierFlags0.hardcodeSoftmaxOutputWeights);\\n assertFalse(seqClassifierFlags0.useBerkeleyAlignerForViterbi);\\n assertFalse(seqClassifierFlags0.lowercaseNGrams);\\n assertFalse(seqClassifierFlags0.useASBCPre1);\\n assertEquals(0.95, seqClassifierFlags0.adaDeltaRho, 0.01D);\\n assertEquals(1, seqClassifierFlags0.selfTrainWindowSize);\\n assertEquals(0.5, seqClassifierFlags0.alignmentDecodeThreshold, 0.01D);\\n assertFalse(seqClassifierFlags0.useABSTRFreq);\\n assertFalse(seqClassifierFlags0.dontExtendTaggy);\\n assertTrue(seqClassifierFlags0.useDenero);\\n assertTrue(seqClassifierFlags0.restrictLabels);\\n assertTrue(seqClassifierFlags0.keepOBInMemory);\\n assertFalse(seqClassifierFlags0.useChunkySequences);\\n assertFalse(seqClassifierFlags0.useInPlaceSGD);\\n assertFalse(seqClassifierFlags0.terminateOnAvgImprovement);\\n assertEquals(1.0, seqClassifierFlags0.sigma, 0.01D);\\n assertFalse(seqClassifierFlags0.useSemPrior);\\n assertFalse(seqClassifierFlags0.numberEquivalenceDistSim);\\n assertFalse(seqClassifierFlags0.useHuber);\\n assertFalse(seqClassifierFlags0.strictlyThirdOrder);\\n assertFalse(seqClassifierFlags0.strictlyFirstOrder);\\n assertTrue(seqClassifierFlags0.useExternal);\\n assertFalse(seqClassifierFlags0.weightByEntropy);\\n assertFalse(seqClassifierFlags0.augmentedDateChars);\\n assertFalse(seqClassifierFlags0.useSMD);\\n assertFalse(seqClassifierFlags0.initWithNERPosterior);\\n assertFalse(seqClassifierFlags0.useFeaturesCpC5gram);\\n assertFalse(seqClassifierFlags0.announceObjectBankEntries);\\n assertFalse(seqClassifierFlags0.useLemmaAsWord);\\n assertFalse(seqClassifierFlags0.geDebug);\\n assertFalse(seqClassifierFlags0.useGEforSup);\\n assertFalse(seqClassifierFlags0.useUnicodeType5gram);\\n assertEquals(0, seqClassifierFlags0.interimOutputFreq);\\n assertEquals(100, seqClassifierFlags0.numSamples);\\n assertFalse(seqClassifierFlags0.useANTE);\\n assertFalse(seqClassifierFlags0.gradientDebug);\\n assertFalse(seqClassifierFlags0.usePhraseWords);\\n assertFalse(seqClassifierFlags0.verboseForTrueCasing);\\n assertTrue(seqClassifierFlags0.useOutputLayer);\\n assertTrue(seqClassifierFlags0.biAlignmentPriorIsPMI);\\n assertFalse(seqClassifierFlags0.useBig5);\\n assertFalse(seqClassifierFlags0.useYetMoreCpCShapes);\\n assertFalse(seqClassifierFlags0.useFilter);\\n assertFalse(seqClassifierFlags0.useAdaDelta);\\n assertEquals(0, seqClassifierFlags0.featureCountThresh);\\n assertFalse(seqClassifierFlags0.useUnicodeType);\\n assertFalse(seqClassifierFlags0.estimateInitial);\\n assertEquals((-1), seqClassifierFlags0.labelDictionaryCutoff);\\n assertEquals(8, seqClassifierFlags0.distSimMaxBits);\\n assertFalse(seqClassifierFlags0.pctSegmenterScaleByCRF);\\n assertFalse(seqClassifierFlags0.useNextVB);\\n assertFalse(seqClassifierFlags0.tieOutputLayer);\\n assertEquals((-1), seqClassifierFlags0.numHiddenUnits);\\n assertFalse(seqClassifierFlags0.saveFeatureIndexToDisk);\\n assertFalse(seqClassifierFlags0.useGENIA);\\n assertFalse(seqClassifierFlags0.useUniformPrior);\\n assertFalse(seqClassifierFlags0.printFirstOrderProbs);\\n assertEquals(1, seqClassifierFlags0.numStartLayers);\\n assertFalse(seqClassifierFlags0.booleanFeatures);\\n assertFalse(seqClassifierFlags0.useTOK);\\n assertEquals(0, seqClassifierFlags0.maxRight);\\n assertFalse(seqClassifierFlags0.useABGENE);\\n assertFalse(seqClassifierFlags0.use2W);\\n assertEquals(2, seqClassifierFlags0.maxLeft);\\n assertEquals(10, seqClassifierFlags0.wideDisjunctionWidth);\\n assertFalse(seqClassifierFlags0.useWordUTypeConjunctions3);\\n assertFalse(seqClassifierFlags0.cleanGazette);\\n assertTrue(seqClassifierFlags0.includeC2EViterbi);\\n assertFalse(seqClassifierFlags0.secondOrderNonLinear);\\n assertFalse(seqClassifierFlags0.useWordUTypeConjunctions2);\\n assertFalse(seqClassifierFlags0.usePKSuf1);\\n assertFalse(seqClassifierFlags0.alternateTraining);\\n assertFalse(seqClassifierFlags0.useHKChar2);\\n assertTrue(seqClassifierFlags0.useKnownLCWords);\\n assertTrue(seqClassifierFlags0.useViterbi);\\n assertEquals(Integer.MAX_VALUE, seqClassifierFlags0.printFeaturesUpto);\\n assertFalse(seqClassifierFlags0.useFirstWord);\\n assertFalse(seqClassifierFlags0.usePrevVB);\\n assertFalse(seqClassifierFlags0.useEitherSideWord);\\n assertFalse(seqClassifierFlags0.usePKPre1);\\n assertFalse(seqClassifierFlags0.useRad1);\\n assertTrue(seqClassifierFlags0.splitDocuments);\\n assertFalse(seqClassifierFlags0.doFeatureDiscovery);\\n assertFalse(seqClassifierFlags0.lowerNewgeneThreshold);\\n assertEquals(1, seqClassifierFlags0.nerSlowerTimes);\\n assertFalse(seqClassifierFlags0.useCWSWordFeaturesAll);\\n assertFalse(seqClassifierFlags0.useNeighborNGrams);\\n assertTrue(seqClassifierFlags0.useWord);\\n assertFalse(seqClassifierFlags0.useTaggySequencesShapeInteraction);\\n assertFalse(seqClassifierFlags0.iobTags);\\n assertFalse(seqClassifierFlags0.useSequentialScanSampling);\\n assertFalse(seqClassifierFlags0.useSGD);\\n assertFalse(seqClassifierFlags0.useBilingualNERPrior);\\n assertFalse(seqClassifierFlags0.useACR);\\n assertFalse(seqClassifierFlags0.suppressTestDebug);\\n assertFalse(seqClassifierFlags0.useAdaDiff);\\n assertFalse(seqClassifierFlags0.pctSegmenterLenAdjust);\\n assertFalse(seqClassifierFlags0.usePhraseFeatures);\\n assertFalse(seqClassifierFlags0.useFeaturesCpC6gram);\\n assertFalse(seqClassifierFlags0.dualDecompDebug);\\n assertFalse(seqClassifierFlags0.useBigramInTwoClique);\\n assertFalse(seqClassifierFlags0.testObjFunction);\\n assertEquals(0, seqClassifierFlags0.featureCountThreshold);\\n assertFalse(seqClassifierFlags0.useOccurrencePatterns);\\n assertEquals(0, seqClassifierFlags0.maxQNItr);\\n assertFalse(seqClassifierFlags0.factorInAlignmentProb);\\n assertFalse(seqClassifierFlags0.useKBest);\\n assertTrue(seqClassifierFlags0.averagePerceptron);\\n assertEquals(15, seqClassifierFlags0.stochasticBatchSize);\\n assertEquals(0.0, seqClassifierFlags0.annealingRate, 0.01D);\\n assertFalse(seqClassifierFlags0.useRad2);\\n assertEquals(0, seqClassifierFlags0.ocrFold);\\n assertFalse(seqClassifierFlags0.backpropLopTraining);\\n assertFalse(seqClassifierFlags0.useProtoFeatures);\\n assertEquals((-1), seqClassifierFlags0.maxIterations);\\n assertFalse(seqClassifierFlags0.useExtraTaggySequences);\\n assertFalse(seqClassifierFlags0.useNegASBCDict2);\\n assertFalse(seqClassifierFlags0.usePrediction);\\n assertFalse(seqClassifierFlags0.useTaggySequences);\\n assertFalse(seqClassifierFlags0.useWordShapeConjunctions2);\\n assertFalse(seqClassifierFlags0.useWordShapeConjunctions3);\\n assertEquals(3, seqClassifierFlags0.charHalfWindow);\\n assertFalse(seqClassifierFlags0.useOnlySeenWeights);\\n assertFalse(seqClassifierFlags0.useEntityTypes);\\n assertFalse(seqClassifierFlags0.useLabelSource);\\n assertFalse(seqClassifierFlags0.twoStage);\\n assertTrue(seqClassifierFlags0.initWithPosterior);\\n assertFalse(seqClassifierFlags0.useCWSWordFeatures);\\n assertFalse(seqClassifierFlags0.useHeadGov);\\n assertFalse(seqClassifierFlags0.useNegASBCDict3);\\n assertEquals(0, seqClassifierFlags0.removeTopN);\\n assertFalse(seqClassifierFlags0.useNegASBCDict4);\\n assertFalse(seqClassifierFlags0.useRandomSeed);\\n assertFalse(seqClassifierFlags0.groupByOutputClass);\\n assertFalse(seqClassifierFlags0.powerAlignProbAsAddition);\\n assertFalse(seqClassifierFlags0.useFeaturesC6gram);\\n assertFalse(seqClassifierFlags0.conjoinShapeNGrams);\\n assertFalse(seqClassifierFlags0.factorInBiEdgePotential);\\n assertFalse(seqClassifierFlags0.strictGoodCoNLL);\\n assertFalse(seqClassifierFlags0.doGibbs);\\n assertEquals(0, seqClassifierFlags0.scaledSGDMethod);\\n assertFalse(seqClassifierFlags0.useCTBChar2);\\n assertFalse(seqClassifierFlags0.useFeaturesC5gram);\\n assertEquals(1.0, seqClassifierFlags0.lambdaCH, 0.01D);\\n assertFalse(seqClassifierFlags0.perceptronDebug);\\n assertFalse(seqClassifierFlags0.useShapeStrings3);\\n assertFalse(seqClassifierFlags0.useShapeStrings1);\\n assertFalse(seqClassifierFlags0.useWordTag);\\n assertFalse(seqClassifierFlags0.matchNERIncentive);\\n assertFalse(seqClassifierFlags0.useShapeStrings5);\\n assertFalse(seqClassifierFlags0.useWordnetFeatures);\\n assertFalse(seqClassifierFlags0.useShapeStrings4);\\n assertEquals(0.001, seqClassifierFlags0.adaGradEps, 0.01D);\\n assertFalse(seqClassifierFlags0.useShapeStrings);\\n assertEquals(1.0, seqClassifierFlags0.randomizedRatio, 0.01D);\\n assertFalse(seqClassifierFlags0.learnENBasedOnCH);\\n assertFalse(seqClassifierFlags0.checkNameList);\\n assertFalse(seqClassifierFlags0.useYear);\\n assertEquals(0.0, seqClassifierFlags0.priorAlpha, 0.01D);\\n assertFalse(seqClassifierFlags0.useAbbr);\\n assertFalse(seqClassifierFlags0.appendLC);\\n assertFalse(seqClassifierFlags0.useObservedFeaturesOnly);\\n assertFalse(seqClassifierFlags0.useEmbedding);\\n assertFalse(seqClassifierFlags0.useNegDict2);\\n assertFalse(seqClassifierFlags0.useEntityRule);\\n assertFalse(seqClassifierFlags0.randomLopWeights);\\n assertEquals(0, seqClassifierFlags0.nerSkipFirstK);\\n assertFalse(seqClassifierFlags0.noEdgeFeature);\\n assertFalse(seqClassifierFlags0.keepEnglishWhitespaces);\\n assertEquals(1, seqClassifierFlags0.numLopExpert);\\n assertFalse(seqClassifierFlags0.useCTBPre1);\\n assertFalse(seqClassifierFlags0.useASBCChar2);\\n assertFalse(seqClassifierFlags0.checkGradient);\\n assertFalse(seqClassifierFlags0.useTags);\\n assertFalse(seqClassifierFlags0.useNegDict3);\\n assertFalse(seqClassifierFlags0.sloppyGazette);\\n assertFalse(seqClassifierFlags0.useNegDict4);\\n assertFalse(seqClassifierFlags0.skipOutputRegularization);\\n assertFalse(seqClassifierFlags0.useGenericFeatures);\\n assertEquals(1, seqClassifierFlags0.selfTrainIterations);\\n assertEquals(1, seqClassifierFlags0.multiThreadPerceptron);\\n assertFalse(seqClassifierFlags0.keepEmptySentences);\\n assertFalse(seqClassifierFlags0.sparseOutputLayer);\\n assertFalse(seqClassifierFlags0.useHKSuf1);\\n assertEquals(0.01, seqClassifierFlags0.epsilon, 0.01D);\\n assertFalse(seqClassifierFlags0.useGazettePhrases);\\n assertFalse(seqClassifierFlags0.useMSRChar2);\\n assertFalse(seqClassifierFlags0.printLabelValue);\\n assertFalse(seqClassifierFlags0.useNERPriorBIO);\\n assertEquals(0, seqClassifierFlags0.evaluateIters);\\n assertFalse(seqClassifierFlags0.lazyUpdate);\\n assertEquals(1, seqClassifierFlags0.CRForder);\\n assertFalse(seqClassifierFlags0.useDictHK2);\\n assertFalse(seqClassifierFlags0.useABSTRFreqDict);\\n assertFalse(seqClassifierFlags0.purgeDatasets);\\n assertFalse(seqClassifierFlags0.timitDatum);\\n assertFalse(seqClassifierFlags0.addCapitalFeatures);\\n assertEquals(0.0, seqClassifierFlags0.featureWeightThreshold, 0.01D);\\n assertFalse(seqClassifierFlags0.makeConsistent);\\n assertFalse(seqClassifierFlags0.useFeaturesC4gram);\\n assertFalse(seqClassifierFlags0.useDictASBC2);\\n assertEquals(2, seqClassifierFlags0.CRFwindow);\\n assertFalse(seqClassifierFlags0.doFE);\\n assertFalse(seqClassifierFlags0.useFeaturesCpC4gram);\\n assertFalse(seqClassifierFlags0.useClassFeature);\\n assertFalse(seqClassifierFlags0.useMsr);\\n assertFalse(seqClassifierFlags0.useReverseAffix);\\n assertEquals((-1), seqClassifierFlags0.purgeFeatures);\\n assertFalse(seqClassifierFlags0.useIsURL);\\n assertFalse(seqClassifierFlags0.useIsDateRange);\\n assertEquals(0.1, seqClassifierFlags0.dualDecompInitialStepSizeAlignment, 0.01D);\\n assertEquals(Double.POSITIVE_INFINITY, seqClassifierFlags0.searchGraphPrune, 0.01D);\\n assertFalse(seqClassifierFlags0.usePrevSequences);\\n assertFalse(seqClassifierFlags0.useGazFeatures);\\n assertFalse(seqClassifierFlags0.intern);\\n assertFalse(seqClassifierFlags0.useMidDotShape);\\n assertFalse(seqClassifierFlags0.selfTest);\\n assertFalse(seqClassifierFlags0.printProbs);\\n assertEquals(0, seqClassifierFlags0.startEvaluateIters);\\n assertTrue(seqClassifierFlags0.useCWSFeatures);\\n assertFalse(seqClassifierFlags0.useCWSWordFeaturesBigram);\\n assertEquals(1, seqClassifierFlags0.multiThreadGrad);\\n assertFalse(seqClassifierFlags0.useRobustQN);\\n assertTrue(seqClassifierFlags0.useInternal);\\n assertFalse(seqClassifierFlags0.useDualDecomp);\\n assertEquals(1, seqClassifierFlags0.terminateOnEvalImprovementNumOfEpoch);\\n assertFalse(seqClassifierFlags0.useNegPKDict3);\\n assertEquals(1.0, seqClassifierFlags0.alignDDAlpha, 0.01D);\\n assertFalse(seqClassifierFlags0.useNegPKDict4);\\n assertFalse(seqClassifierFlags0.dampDDStepSizeWithAlignmentProb);\\n assertEquals(1, seqClassifierFlags0.featureThreshold);\\n assertFalse(seqClassifierFlags0.useRule);\\n assertFalse(seqClassifierFlags0.useNPHead);\\n assertFalse(seqClassifierFlags0.useNegPKDict2);\\n assertFalse(seqClassifierFlags0.usePhraseWordSpecialTags);\\n assertEquals(0.0, seqClassifierFlags0.featureDiffThresh, 0.01D);\\n assertEquals(1, seqClassifierFlags0.numDatasetsPerFile);\\n assertFalse(seqClassifierFlags0.useBerkeleyCompetitivePosterior);\\n assertFalse(seqClassifierFlags0.useObservedSequencesOnly);\\n assertFalse(seqClassifierFlags0.useAltGazFeatures);\\n assertFalse(seqClassifierFlags0.usePrevNextLemmas);\\n assertFalse(seqClassifierFlags0.useChromaticSampling);\\n assertFalse(seqClassifierFlags0.justify);\\n assertFalse(seqClassifierFlags0.useCTBSuf1);\\n assertEquals(1, seqClassifierFlags0.numRuns);\\n assertFalse(seqClassifierFlags0.dualDecompNotBIO);\\n assertEquals(0.0, seqClassifierFlags0.newgeneThreshold, 0.01D);\\n assertFalse(seqClassifierFlags0.useDistSim);\\n assertFalse(seqClassifierFlags0.useNext);\\n assertFalse(seqClassifierFlags0.useUnknown);\\n assertFalse(seqClassifierFlags0.iobWrapper);\\n assertFalse(seqClassifierFlags0.useHKPre1);\\n assertEquals(1, seqClassifierFlags0.bisequencePriorType);\\n assertEquals(1.0, seqClassifierFlags0.adaptSigma, 0.01D);\\n assertEquals(1.0, seqClassifierFlags0.lambdaEN, 0.01D);\\n assertEquals((-1), seqClassifierFlags0.tuneSampleSize);\\n assertEquals(4, seqClassifierFlags0.disjunctionWidth);\\n \\n String string0 = JSONObject.numberToString((Number) 0.95);\\n assertNotNull(string0);\\n assertEquals(\\\"0.95\\\", string0);\\n \\n JSONObject jSONObject0 = null;\\n try {\\n jSONObject0 = new JSONObject((String) null);\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c9320d8ecea0c6b28e76578299b28838\",\n \"score\": \"0.56498265\",\n \"text\": \"@Test(timeout = 4000)\\n public void test026() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(1, 0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n \\n int[] intArray0 = new int[4];\\n intArray0[0] = 0;\\n intArray0[1] = 0;\\n intArray0[2] = 0;\\n intArray0[3] = 0;\\n int[] intArray1 = new int[7];\\n assertFalse(intArray1.equals((Object)intArray0));\\n \\n intArray1[0] = 1;\\n intArray1[2] = 2;\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(1, 0);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixHTML0);\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getRowCount());\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixSignificance0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertNotNull(resultMatrixCSV0);\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(40, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixCSV0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\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(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(40, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\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 assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\\n \\n resultMatrixGnuPlot0.m_PrintColNames = false;\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(40, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\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 assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\\n \\n Enumeration enumeration0 = resultMatrixGnuPlot0.listOptions();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\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(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(enumeration0);\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(40, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\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 assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\\n \\n String string0 = resultMatrixGnuPlot0.toStringSummary();\\n assertEquals(\\\"-summary data not set-\\\", string0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\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(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(string0);\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(1, resultMatrixCSV0.getColCount());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(40, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixCSV0.getRowCount());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixGnuPlot0.countWidthTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixGnuPlot0.meanPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\\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 assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixHTML0);\\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(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixLatex0);\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\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 assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n \\n resultMatrixLatex0.setShowStdDev(false);\\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(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\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 assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n \\n resultMatrixLatex0.setSize(4, 2);\\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(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixHTML0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixHTML0.rowNameWidthTipText());\\n assertFalse(resultMatrixHTML0.getShowStdDev());\\n assertFalse(resultMatrixHTML0.getShowAverage());\\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\\n assertFalse(resultMatrixHTML0.getPrintColNames());\\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixHTML0.stdDevPrecTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixHTML0.printColNamesTipText());\\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixHTML0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixHTML0.enumerateColNamesTipText());\\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixHTML0.stdDevWidthTipText());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixHTML0.significanceWidthTipText());\\n assertEquals(0, resultMatrixHTML0.getCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixHTML0.showAverageTipText());\\n assertTrue(resultMatrixHTML0.getPrintRowNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixHTML0.colNameWidthTipText());\\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixHTML0.printRowNamesTipText());\\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixHTML0.showStdDevTipText());\\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixHTML0.meanWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixHTML0.countWidthTipText());\\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\\n assertEquals(1, resultMatrixHTML0.getColCount());\\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\\n assertEquals(\\\"HTML\\\", resultMatrixHTML0.getDisplayName());\\n assertEquals(\\\"Generates the matrix output as HTML.\\\", resultMatrixHTML0.globalInfo());\\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixHTML0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixLatex0.rowNameWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\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(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(4, resultMatrixLatex0.getColCount());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(4, resultMatrixLatex0.getVisibleColCount());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowStdDev());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertFalse(resultMatrixLatex0.getPrintColNames());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixLatex0.stdDevPrecTipText());\\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 assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(2, resultMatrixLatex0.getRowCount());\\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixPlainText0);\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\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 maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n \\n String string1 = resultMatrixPlainText0.toStringSummary();\\n assertEquals(\\\"-summary data not set-\\\", string1);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(string1);\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\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 maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n \\n int int0 = resultMatrixPlainText0.getVisibleColCount();\\n assertEquals(1, int0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\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 maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n \\n boolean boolean0 = resultMatrixSignificance0.isMean(1);\\n assertTrue(boolean0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(0, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"49abbb8831a83b05872247166227e7e1\",\n \"score\": \"0.5642462\",\n \"text\": \"@Test(timeout = 4000)\\n public void test12() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n int[] intArray0 = new int[1];\\n resultMatrixSignificance0.m_RankingDiff = intArray0;\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n intArray0[0] = 2;\\n resultMatrixSignificance0.m_RankingWins = intArray0;\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n resultMatrixSignificance0.m_PrintRowNames = false;\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n resultMatrixSignificance0.m_PrintRowNames = true;\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n int int0 = resultMatrixSignificance0.getDefaultColNameWidth();\\n assertEquals(0, int0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n int int1 = 1629;\\n resultMatrixSignificance0.setMeanPrec(1629);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(1629, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n // Undeclared exception!\\n try { \\n resultMatrixSignificance0.toStringKey();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"weka.experiment.ResultMatrix\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"22366e39fa285f349fa61e5566087c83\",\n \"score\": \"0.56345505\",\n \"text\": \"@Test(timeout = 4000)\\n public void test107() throws Throwable {\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n \\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(93, 2);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixGnuPlot0);\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(93, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getRowCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\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.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(93, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n \\n resultMatrixGnuPlot0.clear();\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(93, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getRowCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\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.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(93, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n \\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixGnuPlot0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertNotNull(resultMatrixLatex0);\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(93, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getRowCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\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.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(93, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(93, resultMatrixLatex0.getVisibleColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(93, resultMatrixLatex0.getColCount());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(2, resultMatrixLatex0.getRowCount());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\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 assertFalse(resultMatrixLatex0.getShowStdDev());\\n \\n resultMatrixLatex0.setSize(1, 0);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getVisibleRowCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"GNUPlot\\\", resultMatrixGnuPlot0.getDisplayName());\\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\\n assertEquals(93, resultMatrixGnuPlot0.getColCount());\\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixGnuPlot0.rowNameWidthTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixGnuPlot0.significanceWidthTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getRowCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixGnuPlot0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateColNamesTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixGnuPlot0.stdDevPrecTipText());\\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixGnuPlot0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixGnuPlot0.colNameWidthTipText());\\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixGnuPlot0.showAverageTipText());\\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\\n assertEquals(\\\"Generates output for a data and script file for GnuPlot.\\\", resultMatrixGnuPlot0.globalInfo());\\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\\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.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixGnuPlot0.meanWidthTipText());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixGnuPlot0.showStdDevTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixGnuPlot0.stdDevWidthTipText());\\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixGnuPlot0.printRowNamesTipText());\\n assertEquals(93, resultMatrixGnuPlot0.getVisibleColCount());\\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixLatex0.showStdDevTipText());\\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\\n assertEquals(\\\"LaTeX\\\", resultMatrixLatex0.getDisplayName());\\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixLatex0.meanWidthTipText());\\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixLatex0.significanceWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\\n assertFalse(resultMatrixLatex0.getShowAverage());\\n assertEquals(\\\"Generates the matrix output in LaTeX-syntax.\\\", resultMatrixLatex0.globalInfo());\\n assertEquals(0, resultMatrixLatex0.getRowCount());\\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixLatex0.stdDevWidthTipText());\\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\\n assertEquals(1, resultMatrixLatex0.getColCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixLatex0.getPrintColNames());\\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\\n assertTrue(resultMatrixLatex0.getPrintRowNames());\\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixLatex0.showAverageTipText());\\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixLatex0.countWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixLatex0.meanPrecTipText());\\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixLatex0.printRowNamesTipText());\\n assertEquals(0, resultMatrixLatex0.getCountWidth());\\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixLatex0.colNameWidthTipText());\\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixLatex0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixLatex0.printColNamesTipText());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixLatex0.enumerateColNamesTipText());\\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\\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 assertFalse(resultMatrixLatex0.getShowStdDev());\\n \\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixPlainText0);\\n assertFalse(resultMatrixPlainText0.getShowAverage());\\n assertFalse(resultMatrixPlainText0.getShowStdDev());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixPlainText0.significanceWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\\n assertEquals(\\\"Plain Text\\\", resultMatrixPlainText0.getDisplayName());\\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixPlainText0.showStdDevTipText());\\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixPlainText0.colNameWidthTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\\n assertEquals(1, resultMatrixPlainText0.getColCount());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixPlainText0.showAverageTipText());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateRowNamesTipText());\\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\\n assertEquals(1, resultMatrixPlainText0.getRowCount());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixPlainText0.meanWidthTipText());\\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\\n assertTrue(resultMatrixPlainText0.getPrintColNames());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixPlainText0.stdDevWidthTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixPlainText0.printRowNamesTipText());\\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixPlainText0.meanPrecTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixPlainText0.rowNameWidthTipText());\\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixPlainText0.countWidthTipText());\\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixPlainText0.enumerateColNamesTipText());\\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixPlainText0.stdDevPrecTipText());\\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixPlainText0.removeFilterNameTipText());\\n assertEquals(\\\"Generates the output as plain text (for fixed width fonts).\\\", resultMatrixPlainText0.globalInfo());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixPlainText0.printColNamesTipText());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d0db26402ccd3ebc6e6bc36f11a0ba8f\",\n \"score\": \"0.56292534\",\n \"text\": \"@Test(timeout = 4000)\\n public void test184() throws Throwable {\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n int[][] intArray0 = new int[1][0];\\n resultMatrixHTML0.setRanking(intArray0);\\n String string0 = resultMatrixHTML0.toStringKey();\\n assertEquals(\\\"<table border=\\\\\\\"1\\\\\\\" cellpadding=\\\\\\\"3\\\\\\\" cellspacing=\\\\\\\"0\\\\\\\">\\\\n <tr><td colspan=\\\\\\\"2\\\\\\\"><b>Key</b></td></tr>\\\\n <tr><td><b>(1)</b></td><td>col0</td></tr>\\\\n</table>\\\\n\\\", string0);\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\\n resultMatrixHTML0.getRevision();\\n resultMatrixHTML0.setShowAverage(true);\\n resultMatrixCSV0.getDisplayName();\\n resultMatrixHTML0.m_NonSigWins = intArray0;\\n String[] stringArray0 = new String[1];\\n stringArray0[0] = \\\"*\\\";\\n resultMatrixCSV0.m_RowNames = stringArray0;\\n resultMatrixCSV0.setMean(0, 1, 1453.095346975402);\\n int int1 = resultMatrixHTML0.getDisplayRow(0);\\n assertEquals(0, int1);\\n \\n resultMatrixCSV0.getDefaultEnumerateColNames();\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8366702b50dc2d5a204c1084d16a0158\",\n \"score\": \"0.56254196\",\n \"text\": \"@Test\\n public void testStep36GetPreviousInteractionsCount() {\\n System.out.println(\\\"testStep36GetPreviousInteractionsCount\\\");\\n assertEquals(PREVIOUS_INTERACTIONS_COUNT, yearStat.getPreviousInteractionsCount()); \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93ac9728101c054ae027c344fd643c88\",\n \"score\": \"0.5621292\",\n \"text\": \"@Test(timeout = 4000)\\n public void test156() throws Throwable {\\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\\n int[][] intArray0 = new int[0][0];\\n resultMatrixHTML0.setRanking(intArray0);\\n resultMatrixHTML0.toStringKey();\\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\\n resultMatrixCSV0.getDefaultRowNameWidth();\\n resultMatrixHTML0.getRevision();\\n resultMatrixHTML0.setShowAverage(true);\\n resultMatrixCSV0.getMean(1949, 2);\\n resultMatrixCSV0.getDisplayName();\\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixCSV1);\\n resultMatrixPlainText0.setRanking(intArray0);\\n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML(resultMatrixPlainText0);\\n assertFalse(resultMatrixHTML1.getShowAverage());\\n \\n resultMatrixHTML0.getDisplayName();\\n boolean boolean0 = resultMatrixHTML0.getShowAverage();\\n assertTrue(boolean0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ae0fd722f5ce8ba2d3439750c71a154d\",\n \"score\": \"0.5620511\",\n \"text\": \"@Test(timeout = 4000)\\n public void test264() throws Throwable {\\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\\n resultMatrixLatex0.setStdDevPrec(784);\\n resultMatrixLatex0.meanWidthTipText();\\n assertEquals(784, resultMatrixLatex0.getStdDevPrec());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f397e5afb93c650f44b4669309ec0bcb\",\n \"score\": \"0.5619117\",\n \"text\": \"@Test(timeout = 4000)\\n public void test068() throws Throwable {\\n String[] stringArray0 = new String[8];\\n stringArray0[0] = \\\"r8K;#i\\\";\\n stringArray0[1] = \\\"The number of decimals after the decimal point for the mean.\\\";\\n stringArray0[2] = \\\"count-width\\\";\\n stringArray0[3] = \\\"\\\";\\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixSignificance0);\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n \\n resultMatrixSignificance0.addHeader(\\\"Original array with NaN (doubles): \\\", \\\"\\\");\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\\n assertEquals(\\\"Only outputs the significance indicators. Can be used for spotting patterns.\\\", resultMatrixSignificance0.globalInfo());\\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\\n assertEquals(\\\"Significance only\\\", resultMatrixSignificance0.getDisplayName());\\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixSignificance0.stdDevWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowAverage());\\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixSignificance0.showStdDevTipText());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixSignificance0.showAverageTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixSignificance0.meanPrecTipText());\\n assertEquals(1, resultMatrixSignificance0.getRowCount());\\n assertEquals(1, resultMatrixSignificance0.getColCount());\\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateRowNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixSignificance0.printRowNamesTipText());\\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixSignificance0.meanWidthTipText());\\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixSignificance0.printColNamesTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixSignificance0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixSignificance0.colNameWidthTipText());\\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixSignificance0.countWidthTipText());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixSignificance0.rowNameWidthTipText());\\n assertFalse(resultMatrixSignificance0.getShowStdDev());\\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixSignificance0.significanceWidthTipText());\\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\\n assertFalse(resultMatrixSignificance0.getPrintColNames());\\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixSignificance0.removeFilterNameTipText());\\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixSignificance0.enumerateColNamesTipText());\\n \\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 537);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(resultMatrixCSV0);\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(537, resultMatrixCSV0.getRowCount());\\n assertEquals(537, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n \\n String string0 = resultMatrixCSV0.toStringKey();\\n assertEquals(\\\"Key,\\\\n\\\", string0);\\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\\n assertNotNull(string0);\\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\\n assertEquals(0, resultMatrixCSV0.getCountWidth());\\n assertEquals(\\\"Whether to output column names or just numbers representing them.\\\", resultMatrixCSV0.printColNamesTipText());\\n assertEquals(\\\"Generates the matrix in CSV ('comma-separated values') format.\\\", resultMatrixCSV0.globalInfo());\\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\\n assertEquals(\\\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateColNamesTipText());\\n assertEquals(\\\"Whether to output row names or just numbers representing them.\\\", resultMatrixCSV0.printRowNamesTipText());\\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\\n assertEquals(\\\"CSV\\\", resultMatrixCSV0.getDisplayName());\\n assertEquals(\\\"The number of decimals after the decimal point for the mean.\\\", resultMatrixCSV0.meanPrecTipText());\\n assertTrue(resultMatrixCSV0.getPrintRowNames());\\n assertEquals(\\\"Whether to show the row with averages.\\\", resultMatrixCSV0.showAverageTipText());\\n assertEquals(\\\"The maximum width of the column names (0 = optimal).\\\", resultMatrixCSV0.colNameWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\\n assertFalse(resultMatrixCSV0.getShowAverage());\\n assertEquals(\\\"The width of the significance indicator (0 = optimal).\\\", resultMatrixCSV0.significanceWidthTipText());\\n assertFalse(resultMatrixCSV0.getShowStdDev());\\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\\n assertEquals(\\\"Whether to remove the classname package prefixes from the filter names in datasets.\\\", resultMatrixCSV0.removeFilterNameTipText());\\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\\n assertEquals(\\\"The maximum width for the row names (0 = optimal).\\\", resultMatrixCSV0.rowNameWidthTipText());\\n assertEquals(\\\"The number of decimals after the decimal point for the standard deviation.\\\", resultMatrixCSV0.stdDevPrecTipText());\\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\\n assertFalse(resultMatrixCSV0.getPrintColNames());\\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\\n assertEquals(0, resultMatrixCSV0.getColCount());\\n assertEquals(\\\"The width of the standard deviation (0 = optimal).\\\", resultMatrixCSV0.stdDevWidthTipText());\\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\\n assertEquals(\\\"The width of the counts (0 = optimal).\\\", resultMatrixCSV0.countWidthTipText());\\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\\n assertEquals(\\\"The width of the mean (0 = optimal).\\\", resultMatrixCSV0.meanWidthTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\\n assertEquals(\\\"Whether to display the standard deviation column.\\\", resultMatrixCSV0.showStdDevTipText());\\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\\n assertEquals(537, resultMatrixCSV0.getRowCount());\\n assertEquals(537, resultMatrixCSV0.getVisibleRowCount());\\n assertEquals(\\\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\\\", resultMatrixCSV0.enumerateRowNamesTipText());\\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":989693,"cells":{"query_id":{"kind":"string","value":"2b290dec4a083ae80d71d71757984460"},"query":{"kind":"string","value":"this is for ScanDeviceCallback.onLeScan(), which returns the UUID reversed and shifted by a nibble"},"positive_passages":{"kind":"list like","value":[{"docid":"6ecb8f0b0a7bfa11ba391f99e8c70e4c","score":"0.0","text":"public static byte[] reverse(byte[] byteArray) {\n\t\tbyte[] rev = new byte[byteArray.length];\n\t\tfor (int i = 0; i < byteArray.length; i++) {\n\t\t\trev[byteArray.length - (i + 1)] = byteArray[i];\n\t\t}\n\t\treturn rev;\n\t}","title":""}],"string":"[\n {\n \"docid\": \"6ecb8f0b0a7bfa11ba391f99e8c70e4c\",\n \"score\": \"0.0\",\n \"text\": \"public static byte[] reverse(byte[] byteArray) {\\n\\t\\tbyte[] rev = new byte[byteArray.length];\\n\\t\\tfor (int i = 0; i < byteArray.length; i++) {\\n\\t\\t\\trev[byteArray.length - (i + 1)] = byteArray[i];\\n\\t\\t}\\n\\t\\treturn rev;\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"8f933202e41730e1fcac29812ee0e89f","score":"0.6492098","text":"java.lang.String getUuid();","title":""},{"docid":"8f933202e41730e1fcac29812ee0e89f","score":"0.6491556","text":"java.lang.String getUuid();","title":""},{"docid":"b82b0dcd9420975ac193bf0fe3f9b7a6","score":"0.6189383","text":"String getUuid();","title":""},{"docid":"b82b0dcd9420975ac193bf0fe3f9b7a6","score":"0.6189383","text":"String getUuid();","title":""},{"docid":"a5fff7c4c864990e13a8f58b09981fee","score":"0.60241103","text":"public String getUserUuid();","title":""},{"docid":"2e7b20db560f103258758a1edb7d0bfd","score":"0.600411","text":"String getUUID();","title":""},{"docid":"02963a4c1da7b28785fe92d95391f7fa","score":"0.5978609","text":"public static String getUUID() {\r\n\t\tStringBuffer uuidString = new StringBuffer(36);\r\n\t\tbyte[] uuidData = new byte[16];\r\n\r\n\t\t/* get the time in 100 nano seconds intervalls since 1582/15/10 */\r\n\t\tlong systime = System.currentTimeMillis();\r\n\r\n\t\tsystime *= 10000L; // 100 nano seconds resolution\r\n\t\tsystime += CLOCK_OFFSET;\r\n\r\n\t\tint clockHi = (int) (systime >>> 32);\r\n\t\tint clockLo = (int) systime;\r\n\r\n\t\tuuidData[INDEX_CLOCK_LOW] = (byte) (clockLo >>> 24);\r\n\t\tuuidData[INDEX_CLOCK_LOW + 1] = (byte) (clockLo >>> 16);\r\n\t\tuuidData[INDEX_CLOCK_LOW + 2] = (byte) (clockLo >>> 8);\r\n\t\tuuidData[INDEX_CLOCK_LOW + 3] = (byte) (clockLo);\r\n\r\n\t\tuuidData[INDEX_CLOCK_HI] = (byte) (clockHi >>> 24);\r\n\t\tuuidData[INDEX_CLOCK_HI + 1] = (byte) (clockHi >>> 16);\r\n\t\t// set version\r\n\t\tuuidData[INDEX_CLOCK_HI] &= 0x0f;\r\n\t\tuuidData[INDEX_CLOCK_HI] |= (1 << 4);\r\n\r\n\t\tuuidData[INDEX_CLOCK_MID] = (byte) (clockHi >>> 8);\r\n\t\tuuidData[INDEX_CLOCK_MID + 1] = (byte) (clockHi);\r\n\t\tuuidData[INDEX_CLOCK_SEQUENCE] = (byte) (clockSequence >> 16);\r\n\t\tuuidData[INDEX_CLOCK_SEQUENCE + 1] = (byte) (clockSequence);\r\n\t\tclockSequence++;\r\n\r\n\t\tuuidData[INDEX_VARIANT] &= (byte) 0x3f;\r\n\t\tuuidData[INDEX_VARIANT] |= (byte) 0x80;\r\n\r\n\t\tfor (int i = 0; i < 6; i++) {\r\n\t\t\tuuidData[INDEX_NODE + i] = nodeIdentifier[i];\r\n\t\t}\r\n\r\n\t\tfor (int i = 0; i < 16; i++) {\r\n\t\t\tswitch (i) {\r\n\t\t\t\tcase 4:\r\n\t\t\t\tcase 6:\r\n\t\t\t\tcase 8:\r\n\t\t\t\tcase 10:\r\n\t\t\t\t\tuuidString.append(\"-\");\r\n\t\t\t}\r\n\t\t\tint hex = uuidData[i] & 0xff;\r\n\t\t\tuuidString.append(HEX_CHARS.charAt(hex >> 4));\r\n\t\t\tuuidString.append(HEX_CHARS.charAt(hex & 0xf));\r\n\t\t}\r\n\r\n\t\treturn uuidString.toString();\r\n\t}","title":""},{"docid":"2d137bfdc2e8fef514301fd02f9ed7ee","score":"0.59735525","text":"@Override\n public Uuid getReferentUuid() {\n\treturn UuidFactory.create(registrarID.getMostSignificantBits(),\n\t\t\t\t registrarID.getLeastSignificantBits());\n }","title":""},{"docid":"fae644bc46e5f560b2c17fdde7a661b9","score":"0.59518164","text":"public UUID getUuid();","title":""},{"docid":"f1e092f371e2773dbc45ed9cbeb13c91","score":"0.5919909","text":"public String getUUID();","title":""},{"docid":"f1e092f371e2773dbc45ed9cbeb13c91","score":"0.5919909","text":"public String getUUID();","title":""},{"docid":"2dbd99ec9abc8cad9a3135ad711c1744","score":"0.59137857","text":"UUID getUUID();","title":""},{"docid":"0a381c7711703c29a99665d126b56362","score":"0.58788306","text":"public String uuid();","title":""},{"docid":"55e6f925eda486c478f229712fa96d2d","score":"0.5804519","text":"private synchronized void onUDIDReceived(byte[] payload) {\n if (payload.length != 14) {\n Log.e(TAG, \"UDID version length invalid: \" + payload.length);\n return;\n }\n StringBuilder idBuilder = new StringBuilder(\"KOBUKI:\");\n for (int i = 2; i < payload.length; i++) {\n idBuilder.append(Strings.byteToHexString(payload[i]));\n }\n mUuid = idBuilder.toString();\n }","title":""},{"docid":"3009657d1273714b93269428b467df65","score":"0.5799012","text":"com.google.protobuf.ByteString\n getUuidBytes();","title":""},{"docid":"3009657d1273714b93269428b467df65","score":"0.57983565","text":"com.google.protobuf.ByteString\n getUuidBytes();","title":""},{"docid":"dba83db866aaf1bfb6c54368e75b227d","score":"0.5784834","text":"public com.google.protobuf.ByteString\n getUuidBytes() {\n java.lang.Object ref = uuid_;\n if (ref instanceof String) {\n com.google.protobuf.ByteString b = \n com.google.protobuf.ByteString.copyFromUtf8(\n (java.lang.String) ref);\n uuid_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }","title":""},{"docid":"dba83db866aaf1bfb6c54368e75b227d","score":"0.578433","text":"public com.google.protobuf.ByteString\n getUuidBytes() {\n java.lang.Object ref = uuid_;\n if (ref instanceof String) {\n com.google.protobuf.ByteString b = \n com.google.protobuf.ByteString.copyFromUtf8(\n (java.lang.String) ref);\n uuid_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }","title":""},{"docid":"0835c89dfe9ca6d98c3e71b38d05f8f4","score":"0.5780867","text":"public com.google.protobuf.ByteString getUuidBytes() {\n java.lang.Object ref = uuid_;\n if (ref instanceof java.lang.String) {\n com.google.protobuf.ByteString b = com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);\n uuid_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }","title":""},{"docid":"34e92c64f2d848e781f02f7bf682fecd","score":"0.57798463","text":"public Integer getUuid() {\n return uuid;\n }","title":""},{"docid":"6064e2a5608824bb81c7049cc9a9ea9d","score":"0.577417","text":"public com.google.protobuf.ByteString getUuidBytes() {\n java.lang.Object ref = uuid_;\n if (ref instanceof String) {\n com.google.protobuf.ByteString b = com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);\n uuid_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }","title":""},{"docid":"de3bd70185f00dfa2133583c7f0d9ac9","score":"0.5769457","text":"public UUID getUUID();","title":""},{"docid":"673734504613432f19013ba6abf9a318","score":"0.57649624","text":"public com.google.protobuf.ByteString\n getUuidBytes() {\n java.lang.Object ref = uuid_;\n if (ref instanceof java.lang.String) {\n com.google.protobuf.ByteString b = \n com.google.protobuf.ByteString.copyFromUtf8(\n (java.lang.String) ref);\n uuid_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }","title":""},{"docid":"deefbf61bd93b3595ac31b8097d73772","score":"0.5750318","text":"synchronized String getNewAccountUUID() {\n ArrayList<String> uuids = new ArrayList<>();\n try {\n conn = DBsetup.connect();\n stmt = conn.createStatement();\n rs = stmt.executeQuery(\"SELECT Acc_uuid FROM Accounts;\");\n while (rs.next())\n uuids.add(rs.getString(\"Acc_uuid\")) ;\n\n } catch (SQLException |NullPointerException e) {\n System.out.println(\"Failed Generating a unique Account id\");\n e.printStackTrace();\n }finally {\n DBsetup.close(conn);\n }\n // inits\n String uuid;\n Random rng = new Random();\n int len = 8;\n boolean nonUnique;\n\n //loop until getting a unigue id\n uuid = getUniqueID(uuids, rng, len);\n return uuid;\n }","title":""},{"docid":"ee333d3b51c79118045c0a510a5a4ba8","score":"0.5749254","text":"public java.lang.String getUuid() {\n java.lang.Object ref = uuid_;\n if (!(ref instanceof java.lang.String)) {\n com.google.protobuf.ByteString bs =\n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n uuid_ = s;\n return s;\n } else {\n return (java.lang.String) ref;\n }\n }","title":""},{"docid":"ee333d3b51c79118045c0a510a5a4ba8","score":"0.574812","text":"public java.lang.String getUuid() {\n java.lang.Object ref = uuid_;\n if (!(ref instanceof java.lang.String)) {\n com.google.protobuf.ByteString bs =\n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n uuid_ = s;\n return s;\n } else {\n return (java.lang.String) ref;\n }\n }","title":""},{"docid":"bbd0ed35cc55347adf47b52eda0339f2","score":"0.5747909","text":"public java.lang.String getUuid() {\n java.lang.Object ref = uuid_;\n if (ref instanceof java.lang.String) {\n return (java.lang.String) ref;\n } else {\n com.google.protobuf.ByteString bs = \n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n uuid_ = s;\n return s;\n }\n }","title":""},{"docid":"7b1e19e6d356a2d062c4763aec961245","score":"0.5734683","text":"public int getUUID() {\r\n\t\treturn UUID;\r\n\t}","title":""},{"docid":"b05feb861242090013a656d72de5636c","score":"0.5734529","text":"public com.google.protobuf.ByteString\n getUuidBytes() {\n java.lang.Object ref = uuid_;\n if (ref instanceof String) {\n com.google.protobuf.ByteString b = \n com.google.protobuf.ByteString.copyFromUtf8(\n (java.lang.String) ref);\n uuid_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }","title":""},{"docid":"08e398c1b574ef4f512a769b2e7ba0d7","score":"0.57343096","text":"public java.lang.String getUuid() {\n java.lang.Object ref = uuid_;\n if (ref instanceof java.lang.String) {\n return (java.lang.String) ref;\n } else {\n com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n uuid_ = s;\n return s;\n }\n }","title":""},{"docid":"46be6eab214ef72bfad7f85d35fad8cd","score":"0.5732163","text":"public com.google.protobuf.ByteString\n getUuidBytes() {\n java.lang.Object ref = uuid_;\n if (ref instanceof java.lang.String) {\n com.google.protobuf.ByteString b = \n com.google.protobuf.ByteString.copyFromUtf8(\n (java.lang.String) ref);\n uuid_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }","title":""},{"docid":"46be6eab214ef72bfad7f85d35fad8cd","score":"0.57306224","text":"public com.google.protobuf.ByteString\n getUuidBytes() {\n java.lang.Object ref = uuid_;\n if (ref instanceof java.lang.String) {\n com.google.protobuf.ByteString b = \n com.google.protobuf.ByteString.copyFromUtf8(\n (java.lang.String) ref);\n uuid_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }","title":""},{"docid":"b0901966070f72ceb8ad9574738d6c43","score":"0.57115716","text":"public java.lang.String getUuid() {\n java.lang.Object ref = uuid_;\n if (ref instanceof java.lang.String) {\n return (java.lang.String) ref;\n } else {\n com.google.protobuf.ByteString bs = \n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n uuid_ = s;\n return s;\n }\n }","title":""},{"docid":"b0901966070f72ceb8ad9574738d6c43","score":"0.5710309","text":"public java.lang.String getUuid() {\n java.lang.Object ref = uuid_;\n if (ref instanceof java.lang.String) {\n return (java.lang.String) ref;\n } else {\n com.google.protobuf.ByteString bs = \n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n uuid_ = s;\n return s;\n }\n }","title":""},{"docid":"86e9004afa79d5cdf9e524fb616a39e3","score":"0.5709876","text":"public java.lang.String getUuid() {\n java.lang.Object ref = uuid_;\n if (!(ref instanceof java.lang.String)) {\n com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n uuid_ = s;\n return s;\n } else {\n return (java.lang.String) ref;\n }\n }","title":""},{"docid":"f2b5e3a5257593cf686fcf9c9f0950f4","score":"0.57049644","text":"public java.lang.String getUuid() {\n java.lang.Object ref = uuid_;\n if (!(ref instanceof java.lang.String)) {\n com.google.protobuf.ByteString bs =\n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n uuid_ = s;\n return s;\n } else {\n return (java.lang.String) ref;\n }\n }","title":""},{"docid":"ec5cdabf13daa32f1d968c6b0bf43a7f","score":"0.56758904","text":"public String createUuid();","title":""},{"docid":"6a63b30d003b57d4e5c2854d62a73203","score":"0.56123835","text":"com.google.protobuf.ByteString\n getMigrationUuidBytes();","title":""},{"docid":"c580bf934ba4188f80c7dc3457c1825b","score":"0.5594603","text":"public static String getUUID() {\n String s = UUID.randomUUID().toString();\n return s.substring(0, 8) + s.substring(9, 13) + s.substring(14, 18) + s.substring(19, 23) + s.substring(24);\n }","title":""},{"docid":"b690603ed5954f40d15f8f8de5b3b576","score":"0.559105","text":"@NotNull\n WireOut uuid(UUID uuid);","title":""},{"docid":"48798658c39868494be5c242c7939ca4","score":"0.558967","text":"public byte[] getUuidBytes() {\r\n if (this.uuid != null) {\r\n UUID uuidx = new UUID(this.uuid);\r\n return uuidx.asByteArray();\r\n } else {\r\n return null;\r\n }\r\n }","title":""},{"docid":"91a07e835e2ecd00d9640927d969d26a","score":"0.55513287","text":"synchronized String getNewUserUUID() {\n ArrayList<String> uuids = new ArrayList<>();\n try {\n conn = DBsetup.connect();\n stmt = conn.createStatement();\n rs = stmt.executeQuery(\"SELECT uuid FROM Users;\");\n\n while (rs.next()) {\n uuids.add(rs.getString(\"uuid\")) ;\n }\n } catch (SQLException |NullPointerException e) {\n System.out.println(\"Connecting to Database Failed\");\n e.printStackTrace();\n }finally {\n DBsetup.close(conn);\n }\n // inits\n\n Random rng = new Random();\n int len = 8;\n boolean nonUnique;\n\n //loop until getting a unique id\n String uuid = getUniqueID(uuids, rng, len);\n return uuid;\n }","title":""},{"docid":"92ec1a44e1d6daec7b90b49b3e520125","score":"0.5545893","text":"java.lang.String getServiceUuid();","title":""},{"docid":"6fc396ee3f9966019e291eee502a7de4","score":"0.5540946","text":"public String getUUID() {\r\n\t\t\r\n\t\tString uuid = getString(UUID);\r\n\t\treturn uuid;\r\n\t}","title":""},{"docid":"77c0485f50889cae6098d79f6c1b6b46","score":"0.55310655","text":"public java.lang.CharSequence getUuid() {\n return uuid;\n }","title":""},{"docid":"60a07e1f425efebe3e55ef6a83221aaa","score":"0.5528486","text":"public String getUuid() {\n return getTyped(\"UUID\", String.class);\n }","title":""},{"docid":"86bc916b052ecdda4ebe259a0916c678","score":"0.55279595","text":"@AutoEscape\n\tpublic String getUuid();","title":""},{"docid":"86bc916b052ecdda4ebe259a0916c678","score":"0.55279595","text":"@AutoEscape\n\tpublic String getUuid();","title":""},{"docid":"86bc916b052ecdda4ebe259a0916c678","score":"0.55279595","text":"@AutoEscape\n\tpublic String getUuid();","title":""},{"docid":"86bc916b052ecdda4ebe259a0916c678","score":"0.55279595","text":"@AutoEscape\n\tpublic String getUuid();","title":""},{"docid":"272b08aeda38223af137f3375275f8cb","score":"0.5516438","text":"@Override\n\tpublic String getUserUuid();","title":""},{"docid":"c66bf7906ecb1e12c53a5e198a3dd57c","score":"0.5515603","text":"public static String gerarUUID() {\n\t\treturn UUID.randomUUID().toString().toUpperCase();\n\t}","title":""},{"docid":"c2294ea114cbcc05efff9a5fea1f1560","score":"0.5509038","text":"public String getUuid() {\n return uuid;\n }","title":""},{"docid":"c2294ea114cbcc05efff9a5fea1f1560","score":"0.5509038","text":"public String getUuid() {\n return uuid;\n }","title":""},{"docid":"c2294ea114cbcc05efff9a5fea1f1560","score":"0.5509038","text":"public String getUuid() {\n return uuid;\n }","title":""},{"docid":"c2294ea114cbcc05efff9a5fea1f1560","score":"0.5509038","text":"public String getUuid() {\n return uuid;\n }","title":""},{"docid":"c2294ea114cbcc05efff9a5fea1f1560","score":"0.5509038","text":"public String getUuid() {\n return uuid;\n }","title":""},{"docid":"60bbdaf822feff6cafe351261227cfca","score":"0.54884005","text":"@AutoEscape\n\t@Override\n\tpublic String getUuid();","title":""},{"docid":"5514b2ee24b244f2ae85dd99562a12ba","score":"0.5438976","text":"public java.lang.CharSequence getUuid() {\n return uuid;\n }","title":""},{"docid":"b1e6dba47898a2a0928b971a0045aa90","score":"0.5431716","text":"public String getUUID() {\n\t return this.uuid;\n }","title":""},{"docid":"f70530e799c1493f335c6258843211ae","score":"0.5425649","text":"public java.lang.String getUuid() {\r\n return uuid;\r\n }","title":""},{"docid":"5555fd5d1d10c49bf5f7fdb8bb740528","score":"0.5409174","text":"public String uuid() {\n return uuid;\n }","title":""},{"docid":"28ba836e6c1d6eac99a01b09723b3130","score":"0.5403663","text":"public String getUuid() {\n\t\treturn uuid;\n\t}","title":""},{"docid":"28ba836e6c1d6eac99a01b09723b3130","score":"0.5403663","text":"public String getUuid() {\n\t\treturn uuid;\n\t}","title":""},{"docid":"2d5d771db3a4568664b88f41793abc57","score":"0.5400659","text":"@Override\n public void onLeScan(BluetoothDevice device, int rssi, byte[] scanRecord) {\n }","title":""},{"docid":"fd144ef8c3b08592170d01e5667ffc57","score":"0.53941846","text":"public String getUUID() {\n return UUID;\n }","title":""},{"docid":"94928a9210ddec386425b393860978dc","score":"0.53718466","text":"private long uuid(int virtualViewId, int eventType) {\n // For some event types, we will disregard the |virtualViewId| and throttle the events\n // entirely by |eventType|.\n if (mViewIndependentEventsToThrottle.contains(eventType)) {\n return eventType;\n }\n\n return ((long) virtualViewId << 32) | ((long) eventType);\n }","title":""},{"docid":"c97cade3181ac477b01d3553e85503e3","score":"0.5371733","text":"long getUlRecvUid();","title":""},{"docid":"ba7768bca529f80a8e9fe2368cba273d","score":"0.5369744","text":"@Override\r\n\tpublic void uiDeviceFound(BluetoothDevice device, int rssi, byte[] record) {\n\r\n\t}","title":""},{"docid":"4ceba5f2f60eb84b249c2692887f0b56","score":"0.5364072","text":"public com.google.protobuf.ByteString\n getUdidBytes() {\n java.lang.Object ref = udid_;\n if (ref instanceof java.lang.String) {\n com.google.protobuf.ByteString b = \n com.google.protobuf.ByteString.copyFromUtf8(\n (java.lang.String) ref);\n udid_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }","title":""},{"docid":"e4843b07b570cd05598d5e20349f70ba","score":"0.5354794","text":"@Nonnull\n UUID getUuid();","title":""},{"docid":"fbe3c77f5950f6bb35f3e4216035b97d","score":"0.5348402","text":"public static byte[] createTimeUUIDBytes()\n {\n long clock;\n byte[] bytes;\n long nextClock;\n\n // Acquire lock to assure synchornized generation\n synchronized ( UUID.class ) {\n clock = Clock.clock();\n while ( true ) {\n if ( clock > _lastClock ) {\n // Since we are using the clock interval for the UUID space,\n // we must make sure the next clock provides sufficient\n // room so UUIDs do not roll over.\n nextClock = _lastClock + ( _uuidsThisTick / 100 );\n if ( clock <= nextClock )\n clock = Clock.synchronize();\n if ( clock > nextClock ) {\n // Clock reading changed since last UUID generated,\n // reset count of UUIDs generated with this clock.\n _uuidsThisTick = 0;\n _lastClock = clock;\n // Adjust UUIDs per tick in case the clock sleep ticks\n // have changed.\n _uuidsPerTick = Clock.getUnsynchTicks() * 100;\n break;\n }\n }\n\n if ( _uuidsThisTick + 1 < _uuidsPerTick ) {\n // Clock did not advance, but able to create more UUIDs\n // for this clock, proceed.\n ++ _uuidsThisTick;\n break;\n }\n\n // Running out of UUIDs for the current clock tick, must\n // wait until clock advances. Possible that clock did not\n // advance in background, so try to synchronize it first.\n clock = Clock.synchronize();\n if ( clock <= _lastClock ) {\n if ( Configuration.verbose )\n Logger.tyrex.debug( Messages.message( \"tyrex.uuid.fastHolding\" ) );\n while ( clock <= _lastClock ) {\n // UUIDs generated too fast, suspend for a while.\n try {\n Thread.sleep( Clock.getUnsynchTicks() );\n } catch ( InterruptedException except ) { }\n clock = Clock.synchronize();\n }\n }\n }\n\n // Modify Java clock (milliseconds) to UUID clock (100 nanoseconds).\n // Add the count of uuids to low order bits of the clock reading,\n // assuring we get a unique clock.\n clock = ( _lastClock + JAVA_UUID_CLOCK_DIFF ) * 100 + _uuidsThisTick;\n\n bytes = new byte[ 16 ];\n // Add the low field of the clock (4 octets )\n bytes[ 0 ] = (byte) ( ( clock >> 24 ) & 0xFF );\n bytes[ 1 ] = (byte) ( ( clock >> 16 ) & 0xFF );\n bytes[ 2 ] = (byte) ( ( clock >> 8 ) & 0xFF );\n bytes[ 3 ] = (byte) ( clock & 0xFF );\n // Add the medium field of the clock (2 octets)\n bytes[ 4 ] = (byte) ( ( clock >> 40 ) & 0xFF );\n bytes[ 5 ] = (byte) ( ( clock >> 32 ) & 0xFF );\n // Add the high field of the clock multiplexed with version number (2 octets)\n bytes[ 6 ] = (byte) ( ( ( clock >> 60 ) & 0xFF ) | UUID_VERSION_CLOCK_BYTE );\n bytes[ 7 ] = (byte) ( ( clock >> 48 ) & 0xFF );\n // Add the clock sequence and version identifier (2 octets)\n bytes[ 8 ] = _clockSeqByte[ 0 ];\n bytes[ 9 ] = _clockSeqByte[ 1 ];\n // Add the node identifier (6 octets)\n bytes[ 10 ] = _nodeIdentifierByte[ 0 ];\n bytes[ 11 ] = _nodeIdentifierByte[ 1 ];\n bytes[ 12 ] = _nodeIdentifierByte[ 2 ];\n bytes[ 13 ] = _nodeIdentifierByte[ 3 ];\n bytes[ 14 ] = _nodeIdentifierByte[ 4 ];\n bytes[ 15 ] = _nodeIdentifierByte[ 5 ];\n }\n return bytes;\n }","title":""},{"docid":"fdfa0d4abd3876a6911d46ba7010c00b","score":"0.53361475","text":"public com.google.protobuf.ByteString\n getUdidBytes() {\n java.lang.Object ref = udid_;\n if (ref instanceof String) {\n com.google.protobuf.ByteString b = \n com.google.protobuf.ByteString.copyFromUtf8(\n (java.lang.String) ref);\n udid_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }","title":""},{"docid":"6f9e13b509cc96354a477653af972f1c","score":"0.5330181","text":"private String getUUID() {\r\n \r\n return uuid_jtf.getText();\r\n }","title":""},{"docid":"141fe91a4535f25d330220c9d605ec08","score":"0.5299348","text":"public UUID getUuid() {\n return uuid;\n }","title":""},{"docid":"141fe91a4535f25d330220c9d605ec08","score":"0.5299348","text":"public UUID getUuid() {\n return uuid;\n }","title":""},{"docid":"46f10b200964d0577b680d575cfa9b83","score":"0.52986544","text":"com.google.protobuf.ByteString\n getAdaptationUttidBytes(int index);","title":""},{"docid":"f6ed389e7692c43b0c76cee1514b91a0","score":"0.52882195","text":"public final UUID getUUID() {\n\t\treturn uuid;\n\t}","title":""},{"docid":"9a426d4bf2fedaa250b26855088902be","score":"0.5285263","text":"public String mo5544a(int i) {\n String str;\n String str2 = null;\n if (f6523d == null) {\n return \"No_Adapter\";\n }\n if (this.f6555e == null) {\n return \"No_Gatt\";\n }\n switch (i) {\n case 3:\n str = \"054ac620-3214-11e6-ac0d-0002a5d5c51b\";\n str2 = \"69e4d998-54b7-40f5-a5f8-4cc236cd2347\";\n break;\n case 5:\n str = \"054ac620-3214-11e6-ac0d-0002a5d5c51b\";\n str2 = \"e206a5c0-3214-11e6-afe4-0002a5d5c51b\";\n break;\n case 6:\n str = \"054ac620-3214-11e6-ac0d-0002a5d5c51b\";\n if (!this.f6576z) {\n str2 = \"a09fad60-3215-11e6-bdc0-0002a5d5c51b\";\n break;\n } else {\n str2 = \"c97cf1a5-3c03-4290-8c1b-9e74b9500f54\";\n break;\n }\n case 15:\n str = \"6b005f20-3214-11e6-a5ac-0002a5d5c51b\";\n str2 = \"e1392720-3215-11e6-a035-0002a5d5c51b\";\n break;\n case 28:\n str = \"f3b05360-3215-11e6-8529-0002a5d5c51b\";\n str2 = \"9c781c60-3218-11e6-9932-0002a5d5c51b\";\n break;\n case 34:\n str = \"7ddc40a0-3214-11e6-b4d0-0002a5d5c51b\";\n if (!this.f6576z) {\n str2 = \"20f5fffc-fa4d-43b6-be55-321b3df3687c\";\n break;\n } else {\n str2 = \"3d22c6be-baa6-451b-aa2c-f96c50005910\";\n break;\n }\n case 35:\n str = \"054ac620-3214-11e6-ac0d-0002a5d5c51b\";\n str2 = \"03e23a31-a54c-40fa-a668-de9acdc910bb\";\n break;\n case 36:\n str = \"054ac620-3214-11e6-0001-0002a5d5c51b\";\n str2 = \"054ac621-3214-11e6-0001-0002a5d5c51b\";\n break;\n case 37:\n str = \"054ac620-3214-11e6-0001-0002a5d5c51b\";\n str2 = \"054ac622-3214-11e6-0001-0002a5d5c51b\";\n break;\n case 38:\n str = \"054ac620-3214-11e6-0001-0002a5d5c51b\";\n str2 = \"054ac623-3214-11e6-0001-0002a5d5c51b\";\n break;\n default:\n str = null;\n break;\n }\n BluetoothGattService service = this.f6555e.getService(UUID.fromString(str));\n if (service == null) {\n C2261g.m9769c(\"ImageAppTotalService\", \"readCharacteristic: readCharacteristic false1\");\n return \"No_GattService\";\n }\n BluetoothGattCharacteristic characteristic = service.getCharacteristic(UUID.fromString(str2));\n if (characteristic == null) {\n C2261g.m9769c(\"ImageAppTotalService\", \"readCharacteristic: readCharacteristic false2\");\n return \"No_GattChar\";\n } else if (this.f6555e.readCharacteristic(characteristic)) {\n return \"Success\";\n } else {\n C2261g.m9769c(\"ImageAppTotalService\", \"readCharacteristic: readCharacteristic false3\");\n return \"Read_Error\";\n }\n }","title":""},{"docid":"561533bdd7902bcf81654166e662705d","score":"0.5284612","text":"public static synchronized String getNewUUID() {\r\n // Create a message id with VM id, current time,\r\n // and a random number from our secure random generator\r\n String separator = \"-\"; //$NON-NLS-1$\r\n StringBuilder input = new StringBuilder();\r\n input.append(sVmid.toString());\r\n input.append(separator);\r\n input.append(System.currentTimeMillis());\r\n input.append(separator);\r\n input.append(sRandom.nextLong());\r\n\r\n // get the SHA digest of the id input\r\n byte[] sha = sShaDigest.digest(input.toString().getBytes());\r\n\r\n // get a hex string of the hash\r\n StringBuilder buffer = new StringBuilder();\r\n for (byte s : sha) {\r\n int b = s & 0xFF;\r\n if (b < 0x10) buffer.append('0');\r\n buffer.append(Integer.toHexString(b));\r\n }\r\n String hexString = buffer.toString();\r\n\r\n // Format as a uuid URI\r\n StringBuilder uuid = new StringBuilder();\r\n uuid.append(\"uuid:\"); //$NON-NLS-1$\r\n uuid.append(hexString.substring(0, 8));\r\n uuid.append(separator);\r\n uuid.append(hexString.substring(8, 12));\r\n uuid.append(separator);\r\n uuid.append(hexString.substring(12, 20));\r\n uuid.append(separator);\r\n uuid.append(hexString.substring(20));\r\n\r\n return uuid.toString();\r\n }","title":""},{"docid":"47d9af93839f025f3f1862809da6dd98","score":"0.5279647","text":"@DSSource({DSSourceKind.NFC})\n @DSGenerator(tool_name = \"Doppelganger\", tool_version = \"2.0\", generated_on = \"2013-12-30 12:30:50.202 -0500\", hash_original_method = \"9D6A9E4635BF3A5F066D2AADCC504C7A\", hash_generated_method = \"04D08F0620A42926911203A7CA2E323E\")\n \npublic byte[] getId() {\n return mId.clone();\n }","title":""},{"docid":"a26024ed23b720af31bd556a78bfe114","score":"0.5276168","text":"public UUID()\n\t{\n\t\tlong\t\ttime;\n\t\tint\t\t\ttime_hi;\n\t\tint\t\t\ttime_lo;\n\n\t\ttime\t = new GregorianCalendar( 1582, 9, 15 ).getTimeInMillis();\t// 15-Oct-1582\n\t\ttime\t = Calendar.getInstance(TimeZone.getTimeZone(\"UCT\")).getTimeInMillis() - time;\n\t\ttime\t<<= 19;\n\t\ttime\t &= 0x0fffffffffffffffL;\n\t\ttime\t |= 0x1000000000000000L;\n\t\ttime_hi\t = (int)(time >>> 32);\n\t\ttime_lo\t = (int) time;\n\n\t\tUtil.putIntToByteArray( TheUUID, time_lo, 0 );\n\t\tUtil.putIntToByteArray( TheUUID, time_hi, 4 );\n\n\t\tTheUUID[0]\t= Util.newRand();\n\t\tTheUUID[1]\t= Util.newRand();\n\t\tTheUUID[2]\t= (byte)(Util.newRand() & 0x07);\n\t\tTheUUID[8]\t= (byte)(Util.newRand() & 0x3f);\n\t\tTheUUID[9]\t= Util.newRand();\n\t\tTheUUID[10]\t= Util.newRand();\n\t\tTheUUID[11]\t= Util.newRand();\n\t\tTheUUID[12]\t= Util.newRand();\n\t\tTheUUID[13]\t= Util.newRand();\n\t\tTheUUID[14]\t= Util.newRand();\n\t\tTheUUID[15]\t= Util.newRand();\n\t}","title":""},{"docid":"f0ee1d44ac8aa28d8fe70d842aac2952","score":"0.52691877","text":"public UUID getUUID()\n {\n return uuid;\n }","title":""},{"docid":"1fe849c59fd3c666743832e04d51919c","score":"0.525641","text":"java.lang.String getMigrationUuid();","title":""},{"docid":"455d661157f7a39e472b4c58de91172d","score":"0.5252497","text":"UUID getPlayerUuid();","title":""},{"docid":"f06bd350eea2e84d971d97604bb17726","score":"0.5248125","text":"@Override\n\tpublic final void write(UUID value) throws IOException {\n\t\t// .NET's binary format for GUID's is little endian, and done in segments, so we\n\t\t// have to exactly emulate that.\n\t\tbyte[] net = new byte[16];\n\n\t\t// Based on\n\t\t// https://stackoverflow.com/questions/5745512/how-to-read-a-net-guid-into-a-java-uuid\n\t\tbyte[] javaLeastSignificantBytes = toBytes(value.getLeastSignificantBits());\n\t\tfor (int i = 8; i < 16; i++) {\n\t\t\tnet[i] = javaLeastSignificantBytes[i - 8];\n\t\t}\n\n\t\t// and now do the swaps that are in different order...\n\t\tbyte[] javaMostSignificantBytes = toBytes(value.getMostSignificantBits());\n\t\tnet[3] = javaMostSignificantBytes[0];\n\t\tnet[2] = javaMostSignificantBytes[1];\n\t\tnet[1] = javaMostSignificantBytes[2];\n\t\tnet[0] = javaMostSignificantBytes[3];\n\t\tnet[5] = javaMostSignificantBytes[4];\n\t\tnet[4] = javaMostSignificantBytes[5];\n\t\tnet[6] = javaMostSignificantBytes[7];\n\t\tnet[7] = javaMostSignificantBytes[6];\n\n\t\twriteBytes(net);\n\t}","title":""},{"docid":"e767e17e7673b81f6ed9bdf7c71d07b6","score":"0.52350616","text":"public UUID getUuid() {\n return (uuidProperty == null)\n ? new UUID(uuidMsb, uuidLsb)\n : uuidProperty.get();\n }","title":""},{"docid":"1c1f61c34e7fd5175f98922985f37391","score":"0.5226147","text":"com.google.protobuf.ByteString getUidBytes();","title":""},{"docid":"c1c0086c32fa2d0fee1501be879c9919","score":"0.52093846","text":"public String getUserUuid() throws SystemException;","title":""},{"docid":"9127fad9782f46aa37c630967e897309","score":"0.5203786","text":"String getUserGUID();","title":""},{"docid":"aba1bee535dc0ac55f1502c104fde1f7","score":"0.51950306","text":"public static String messageUUID(ReviewDb db) throws OrmException {\n int p;\n int s;\n synchronized (uuidLock) {\n if (uuidSeq == 0) {\n uuidPrefix = db.nextChangeMessageId();\n uuidSeq = Integer.MAX_VALUE;\n }\n p = uuidPrefix;\n s = uuidSeq--;\n }\n String u = IdGenerator.format(IdGenerator.mix(SEED, p));\n String l = IdGenerator.format(IdGenerator.mix(p, s));\n return u + '_' + l;\n }","title":""},{"docid":"9028f3c462b2d2b0f2294ad65c6c6dd2","score":"0.5186722","text":"public abstract String getGUID();","title":""},{"docid":"92de3383fb8f80521e1bb569d12c4813","score":"0.5184204","text":"static private UUID getUuidExtra(Intent intent) {\n String uuidStr = intent.getStringExtra(EXTRA_UUID);\n if (uuidStr != null && uuidStr.length() == 4) {\n uuidStr = String.format(\"0000%s-0000-1000-8000-00805f9b34fb\", uuidStr);\n }\n return (uuidStr != null) ? UUID.fromString(uuidStr) : null;\n }","title":""},{"docid":"de1c75d31757a6f23b0051b8cd275639","score":"0.5182092","text":"public java.lang.String getUdid() {\n java.lang.Object ref = udid_;\n if (ref instanceof java.lang.String) {\n return (java.lang.String) ref;\n } else {\n com.google.protobuf.ByteString bs = \n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n udid_ = s;\n return s;\n }\n }","title":""},{"docid":"e56d9782a397e03e7509ec0dd982d0e6","score":"0.5181323","text":"public byte [] getBytes()\n\t{\n\t\treturn Util.cloneByteArray( TheUUID );\n\t}","title":""},{"docid":"4da037e09bab3332476355c7cfb4b501","score":"0.5175409","text":"public byte getDeviceID() \n\t{\n\t\treturn getRegisterBits( ITG3200_RA_WHO_AM_I, ITG3200_DEVID_BIT, ITG3200_DEVID_LENGTH );\n\t}","title":""},{"docid":"917fea535ff264ddd2923131dd44fd11","score":"0.5170308","text":"public UUID getUuid()\n {\n return m_uuid;\n }","title":""},{"docid":"cd6a13e0959bc271457c57a7b1bfcead","score":"0.5154208","text":"public UUID getUUID() {\n return new UUID(id.bytesIntoLong(CodatID.idOffset), id.bytesIntoLong(CodatID.idOffset + 8));\n }","title":""},{"docid":"ed19897ef9d597ae05ffa360f44323e2","score":"0.51378137","text":"public static java.util.UUID a(byte[] r9) {\n /*\n bky r0 = new bky\n r0.<init>(r9)\n int r9 = r0.c\n r1 = 0\n r2 = 32\n if (r9 >= r2) goto L_0x000f\n L_0x000c:\n L_0x000d:\n r9 = r1\n goto L_0x007b\n L_0x000f:\n r9 = 0\n r0.c(r9)\n int r2 = r0.j()\n int r3 = r0.b()\n int r3 = r3 + 4\n if (r2 != r3) goto L_0x000c\n int r2 = r0.j()\n r3 = 1886614376(0x70737368, float:3.013775E29)\n if (r2 != r3) goto L_0x000c\n int r2 = r0.j()\n int r2 = defpackage.apu.c(r2)\n r3 = 1\n if (r2 <= r3) goto L_0x004d\n java.lang.StringBuilder r9 = new java.lang.StringBuilder\n r0 = 37\n r9.<init>(r0)\n java.lang.String r0 = \"Unsupported pssh version: \"\n r9.append(r0)\n r9.append(r2)\n java.lang.String r9 = r9.toString()\n java.lang.String r0 = \"PsshAtomUtil\"\n android.util.Log.w(r0, r9)\n goto L_0x000d\n L_0x004d:\n java.util.UUID r4 = new java.util.UUID\n long r5 = r0.l()\n long r7 = r0.l()\n r4.<init>(r5, r7)\n if (r2 != r3) goto L_0x0065\n int r2 = r0.n()\n int r2 = r2 << 4\n r0.d(r2)\n L_0x0065:\n int r2 = r0.n()\n int r3 = r0.b()\n if (r2 != r3) goto L_0x007a\n byte[] r3 = new byte[r2]\n r0.a(r3, r9, r2)\n aqm r9 = new aqm\n r9.<init>(r4)\n goto L_0x007b\n L_0x007a:\n goto L_0x000c\n L_0x007b:\n if (r9 == 0) goto L_0x0080\n java.util.UUID r9 = r9.a\n return r9\n L_0x0080:\n return r1\n */\n throw new UnsupportedOperationException(\"Method not decompiled: defpackage.bty.a(byte[]):java.util.UUID\");\n }","title":""},{"docid":"f2da6289943d3bdee5619987ad75694f","score":"0.5136172","text":"protected synchronized String generateUUIDByTime() {\r\n\t short cur = (short)System.currentTimeMillis();\r\n\t if (cur<0) cur = (short)-cur;\r\n\t return prefixUUID + cur + counterUUID++;\r\n\t}","title":""},{"docid":"e0339ff38ae9985f2e1d3970f6136e6c","score":"0.5123965","text":"public UUID getUuid() {\n\t\t\treturn uuid;\n\t\t}","title":""}],"string":"[\n {\n \"docid\": \"8f933202e41730e1fcac29812ee0e89f\",\n \"score\": \"0.6492098\",\n \"text\": \"java.lang.String getUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8f933202e41730e1fcac29812ee0e89f\",\n \"score\": \"0.6491556\",\n \"text\": \"java.lang.String getUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b82b0dcd9420975ac193bf0fe3f9b7a6\",\n \"score\": \"0.6189383\",\n \"text\": \"String getUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b82b0dcd9420975ac193bf0fe3f9b7a6\",\n \"score\": \"0.6189383\",\n \"text\": \"String getUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a5fff7c4c864990e13a8f58b09981fee\",\n \"score\": \"0.60241103\",\n \"text\": \"public String getUserUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2e7b20db560f103258758a1edb7d0bfd\",\n \"score\": \"0.600411\",\n \"text\": \"String getUUID();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"02963a4c1da7b28785fe92d95391f7fa\",\n \"score\": \"0.5978609\",\n \"text\": \"public static String getUUID() {\\r\\n\\t\\tStringBuffer uuidString = new StringBuffer(36);\\r\\n\\t\\tbyte[] uuidData = new byte[16];\\r\\n\\r\\n\\t\\t/* get the time in 100 nano seconds intervalls since 1582/15/10 */\\r\\n\\t\\tlong systime = System.currentTimeMillis();\\r\\n\\r\\n\\t\\tsystime *= 10000L; // 100 nano seconds resolution\\r\\n\\t\\tsystime += CLOCK_OFFSET;\\r\\n\\r\\n\\t\\tint clockHi = (int) (systime >>> 32);\\r\\n\\t\\tint clockLo = (int) systime;\\r\\n\\r\\n\\t\\tuuidData[INDEX_CLOCK_LOW] = (byte) (clockLo >>> 24);\\r\\n\\t\\tuuidData[INDEX_CLOCK_LOW + 1] = (byte) (clockLo >>> 16);\\r\\n\\t\\tuuidData[INDEX_CLOCK_LOW + 2] = (byte) (clockLo >>> 8);\\r\\n\\t\\tuuidData[INDEX_CLOCK_LOW + 3] = (byte) (clockLo);\\r\\n\\r\\n\\t\\tuuidData[INDEX_CLOCK_HI] = (byte) (clockHi >>> 24);\\r\\n\\t\\tuuidData[INDEX_CLOCK_HI + 1] = (byte) (clockHi >>> 16);\\r\\n\\t\\t// set version\\r\\n\\t\\tuuidData[INDEX_CLOCK_HI] &= 0x0f;\\r\\n\\t\\tuuidData[INDEX_CLOCK_HI] |= (1 << 4);\\r\\n\\r\\n\\t\\tuuidData[INDEX_CLOCK_MID] = (byte) (clockHi >>> 8);\\r\\n\\t\\tuuidData[INDEX_CLOCK_MID + 1] = (byte) (clockHi);\\r\\n\\t\\tuuidData[INDEX_CLOCK_SEQUENCE] = (byte) (clockSequence >> 16);\\r\\n\\t\\tuuidData[INDEX_CLOCK_SEQUENCE + 1] = (byte) (clockSequence);\\r\\n\\t\\tclockSequence++;\\r\\n\\r\\n\\t\\tuuidData[INDEX_VARIANT] &= (byte) 0x3f;\\r\\n\\t\\tuuidData[INDEX_VARIANT] |= (byte) 0x80;\\r\\n\\r\\n\\t\\tfor (int i = 0; i < 6; i++) {\\r\\n\\t\\t\\tuuidData[INDEX_NODE + i] = nodeIdentifier[i];\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\tfor (int i = 0; i < 16; i++) {\\r\\n\\t\\t\\tswitch (i) {\\r\\n\\t\\t\\t\\tcase 4:\\r\\n\\t\\t\\t\\tcase 6:\\r\\n\\t\\t\\t\\tcase 8:\\r\\n\\t\\t\\t\\tcase 10:\\r\\n\\t\\t\\t\\t\\tuuidString.append(\\\"-\\\");\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\tint hex = uuidData[i] & 0xff;\\r\\n\\t\\t\\tuuidString.append(HEX_CHARS.charAt(hex >> 4));\\r\\n\\t\\t\\tuuidString.append(HEX_CHARS.charAt(hex & 0xf));\\r\\n\\t\\t}\\r\\n\\r\\n\\t\\treturn uuidString.toString();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d137bfdc2e8fef514301fd02f9ed7ee\",\n \"score\": \"0.59735525\",\n \"text\": \"@Override\\n public Uuid getReferentUuid() {\\n\\treturn UuidFactory.create(registrarID.getMostSignificantBits(),\\n\\t\\t\\t\\t registrarID.getLeastSignificantBits());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fae644bc46e5f560b2c17fdde7a661b9\",\n \"score\": \"0.59518164\",\n \"text\": \"public UUID getUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1e092f371e2773dbc45ed9cbeb13c91\",\n \"score\": \"0.5919909\",\n \"text\": \"public String getUUID();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1e092f371e2773dbc45ed9cbeb13c91\",\n \"score\": \"0.5919909\",\n \"text\": \"public String getUUID();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2dbd99ec9abc8cad9a3135ad711c1744\",\n \"score\": \"0.59137857\",\n \"text\": \"UUID getUUID();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0a381c7711703c29a99665d126b56362\",\n \"score\": \"0.58788306\",\n \"text\": \"public String uuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"55e6f925eda486c478f229712fa96d2d\",\n \"score\": \"0.5804519\",\n \"text\": \"private synchronized void onUDIDReceived(byte[] payload) {\\n if (payload.length != 14) {\\n Log.e(TAG, \\\"UDID version length invalid: \\\" + payload.length);\\n return;\\n }\\n StringBuilder idBuilder = new StringBuilder(\\\"KOBUKI:\\\");\\n for (int i = 2; i < payload.length; i++) {\\n idBuilder.append(Strings.byteToHexString(payload[i]));\\n }\\n mUuid = idBuilder.toString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3009657d1273714b93269428b467df65\",\n \"score\": \"0.5799012\",\n \"text\": \"com.google.protobuf.ByteString\\n getUuidBytes();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3009657d1273714b93269428b467df65\",\n \"score\": \"0.57983565\",\n \"text\": \"com.google.protobuf.ByteString\\n getUuidBytes();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dba83db866aaf1bfb6c54368e75b227d\",\n \"score\": \"0.5784834\",\n \"text\": \"public com.google.protobuf.ByteString\\n getUuidBytes() {\\n java.lang.Object ref = uuid_;\\n if (ref instanceof String) {\\n com.google.protobuf.ByteString b = \\n com.google.protobuf.ByteString.copyFromUtf8(\\n (java.lang.String) ref);\\n uuid_ = b;\\n return b;\\n } else {\\n return (com.google.protobuf.ByteString) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dba83db866aaf1bfb6c54368e75b227d\",\n \"score\": \"0.578433\",\n \"text\": \"public com.google.protobuf.ByteString\\n getUuidBytes() {\\n java.lang.Object ref = uuid_;\\n if (ref instanceof String) {\\n com.google.protobuf.ByteString b = \\n com.google.protobuf.ByteString.copyFromUtf8(\\n (java.lang.String) ref);\\n uuid_ = b;\\n return b;\\n } else {\\n return (com.google.protobuf.ByteString) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0835c89dfe9ca6d98c3e71b38d05f8f4\",\n \"score\": \"0.5780867\",\n \"text\": \"public com.google.protobuf.ByteString getUuidBytes() {\\n java.lang.Object ref = uuid_;\\n if (ref instanceof java.lang.String) {\\n com.google.protobuf.ByteString b = com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);\\n uuid_ = b;\\n return b;\\n } else {\\n return (com.google.protobuf.ByteString) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"34e92c64f2d848e781f02f7bf682fecd\",\n \"score\": \"0.57798463\",\n \"text\": \"public Integer getUuid() {\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6064e2a5608824bb81c7049cc9a9ea9d\",\n \"score\": \"0.577417\",\n \"text\": \"public com.google.protobuf.ByteString getUuidBytes() {\\n java.lang.Object ref = uuid_;\\n if (ref instanceof String) {\\n com.google.protobuf.ByteString b = com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);\\n uuid_ = b;\\n return b;\\n } else {\\n return (com.google.protobuf.ByteString) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"de3bd70185f00dfa2133583c7f0d9ac9\",\n \"score\": \"0.5769457\",\n \"text\": \"public UUID getUUID();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"673734504613432f19013ba6abf9a318\",\n \"score\": \"0.57649624\",\n \"text\": \"public com.google.protobuf.ByteString\\n getUuidBytes() {\\n java.lang.Object ref = uuid_;\\n if (ref instanceof java.lang.String) {\\n com.google.protobuf.ByteString b = \\n com.google.protobuf.ByteString.copyFromUtf8(\\n (java.lang.String) ref);\\n uuid_ = b;\\n return b;\\n } else {\\n return (com.google.protobuf.ByteString) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"deefbf61bd93b3595ac31b8097d73772\",\n \"score\": \"0.5750318\",\n \"text\": \"synchronized String getNewAccountUUID() {\\n ArrayList<String> uuids = new ArrayList<>();\\n try {\\n conn = DBsetup.connect();\\n stmt = conn.createStatement();\\n rs = stmt.executeQuery(\\\"SELECT Acc_uuid FROM Accounts;\\\");\\n while (rs.next())\\n uuids.add(rs.getString(\\\"Acc_uuid\\\")) ;\\n\\n } catch (SQLException |NullPointerException e) {\\n System.out.println(\\\"Failed Generating a unique Account id\\\");\\n e.printStackTrace();\\n }finally {\\n DBsetup.close(conn);\\n }\\n // inits\\n String uuid;\\n Random rng = new Random();\\n int len = 8;\\n boolean nonUnique;\\n\\n //loop until getting a unigue id\\n uuid = getUniqueID(uuids, rng, len);\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ee333d3b51c79118045c0a510a5a4ba8\",\n \"score\": \"0.5749254\",\n \"text\": \"public java.lang.String getUuid() {\\n java.lang.Object ref = uuid_;\\n if (!(ref instanceof java.lang.String)) {\\n com.google.protobuf.ByteString bs =\\n (com.google.protobuf.ByteString) ref;\\n java.lang.String s = bs.toStringUtf8();\\n uuid_ = s;\\n return s;\\n } else {\\n return (java.lang.String) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ee333d3b51c79118045c0a510a5a4ba8\",\n \"score\": \"0.574812\",\n \"text\": \"public java.lang.String getUuid() {\\n java.lang.Object ref = uuid_;\\n if (!(ref instanceof java.lang.String)) {\\n com.google.protobuf.ByteString bs =\\n (com.google.protobuf.ByteString) ref;\\n java.lang.String s = bs.toStringUtf8();\\n uuid_ = s;\\n return s;\\n } else {\\n return (java.lang.String) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bbd0ed35cc55347adf47b52eda0339f2\",\n \"score\": \"0.5747909\",\n \"text\": \"public java.lang.String getUuid() {\\n java.lang.Object ref = uuid_;\\n if (ref instanceof java.lang.String) {\\n return (java.lang.String) ref;\\n } else {\\n com.google.protobuf.ByteString bs = \\n (com.google.protobuf.ByteString) ref;\\n java.lang.String s = bs.toStringUtf8();\\n uuid_ = s;\\n return s;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b1e19e6d356a2d062c4763aec961245\",\n \"score\": \"0.5734683\",\n \"text\": \"public int getUUID() {\\r\\n\\t\\treturn UUID;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b05feb861242090013a656d72de5636c\",\n \"score\": \"0.5734529\",\n \"text\": \"public com.google.protobuf.ByteString\\n getUuidBytes() {\\n java.lang.Object ref = uuid_;\\n if (ref instanceof String) {\\n com.google.protobuf.ByteString b = \\n com.google.protobuf.ByteString.copyFromUtf8(\\n (java.lang.String) ref);\\n uuid_ = b;\\n return b;\\n } else {\\n return (com.google.protobuf.ByteString) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"08e398c1b574ef4f512a769b2e7ba0d7\",\n \"score\": \"0.57343096\",\n \"text\": \"public java.lang.String getUuid() {\\n java.lang.Object ref = uuid_;\\n if (ref instanceof java.lang.String) {\\n return (java.lang.String) ref;\\n } else {\\n com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;\\n java.lang.String s = bs.toStringUtf8();\\n uuid_ = s;\\n return s;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46be6eab214ef72bfad7f85d35fad8cd\",\n \"score\": \"0.5732163\",\n \"text\": \"public com.google.protobuf.ByteString\\n getUuidBytes() {\\n java.lang.Object ref = uuid_;\\n if (ref instanceof java.lang.String) {\\n com.google.protobuf.ByteString b = \\n com.google.protobuf.ByteString.copyFromUtf8(\\n (java.lang.String) ref);\\n uuid_ = b;\\n return b;\\n } else {\\n return (com.google.protobuf.ByteString) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46be6eab214ef72bfad7f85d35fad8cd\",\n \"score\": \"0.57306224\",\n \"text\": \"public com.google.protobuf.ByteString\\n getUuidBytes() {\\n java.lang.Object ref = uuid_;\\n if (ref instanceof java.lang.String) {\\n com.google.protobuf.ByteString b = \\n com.google.protobuf.ByteString.copyFromUtf8(\\n (java.lang.String) ref);\\n uuid_ = b;\\n return b;\\n } else {\\n return (com.google.protobuf.ByteString) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0901966070f72ceb8ad9574738d6c43\",\n \"score\": \"0.57115716\",\n \"text\": \"public java.lang.String getUuid() {\\n java.lang.Object ref = uuid_;\\n if (ref instanceof java.lang.String) {\\n return (java.lang.String) ref;\\n } else {\\n com.google.protobuf.ByteString bs = \\n (com.google.protobuf.ByteString) ref;\\n java.lang.String s = bs.toStringUtf8();\\n uuid_ = s;\\n return s;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0901966070f72ceb8ad9574738d6c43\",\n \"score\": \"0.5710309\",\n \"text\": \"public java.lang.String getUuid() {\\n java.lang.Object ref = uuid_;\\n if (ref instanceof java.lang.String) {\\n return (java.lang.String) ref;\\n } else {\\n com.google.protobuf.ByteString bs = \\n (com.google.protobuf.ByteString) ref;\\n java.lang.String s = bs.toStringUtf8();\\n uuid_ = s;\\n return s;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86e9004afa79d5cdf9e524fb616a39e3\",\n \"score\": \"0.5709876\",\n \"text\": \"public java.lang.String getUuid() {\\n java.lang.Object ref = uuid_;\\n if (!(ref instanceof java.lang.String)) {\\n com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;\\n java.lang.String s = bs.toStringUtf8();\\n uuid_ = s;\\n return s;\\n } else {\\n return (java.lang.String) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f2b5e3a5257593cf686fcf9c9f0950f4\",\n \"score\": \"0.57049644\",\n \"text\": \"public java.lang.String getUuid() {\\n java.lang.Object ref = uuid_;\\n if (!(ref instanceof java.lang.String)) {\\n com.google.protobuf.ByteString bs =\\n (com.google.protobuf.ByteString) ref;\\n java.lang.String s = bs.toStringUtf8();\\n uuid_ = s;\\n return s;\\n } else {\\n return (java.lang.String) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ec5cdabf13daa32f1d968c6b0bf43a7f\",\n \"score\": \"0.56758904\",\n \"text\": \"public String createUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6a63b30d003b57d4e5c2854d62a73203\",\n \"score\": \"0.56123835\",\n \"text\": \"com.google.protobuf.ByteString\\n getMigrationUuidBytes();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c580bf934ba4188f80c7dc3457c1825b\",\n \"score\": \"0.5594603\",\n \"text\": \"public static String getUUID() {\\n String s = UUID.randomUUID().toString();\\n return s.substring(0, 8) + s.substring(9, 13) + s.substring(14, 18) + s.substring(19, 23) + s.substring(24);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b690603ed5954f40d15f8f8de5b3b576\",\n \"score\": \"0.559105\",\n \"text\": \"@NotNull\\n WireOut uuid(UUID uuid);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"48798658c39868494be5c242c7939ca4\",\n \"score\": \"0.558967\",\n \"text\": \"public byte[] getUuidBytes() {\\r\\n if (this.uuid != null) {\\r\\n UUID uuidx = new UUID(this.uuid);\\r\\n return uuidx.asByteArray();\\r\\n } else {\\r\\n return null;\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"91a07e835e2ecd00d9640927d969d26a\",\n \"score\": \"0.55513287\",\n \"text\": \"synchronized String getNewUserUUID() {\\n ArrayList<String> uuids = new ArrayList<>();\\n try {\\n conn = DBsetup.connect();\\n stmt = conn.createStatement();\\n rs = stmt.executeQuery(\\\"SELECT uuid FROM Users;\\\");\\n\\n while (rs.next()) {\\n uuids.add(rs.getString(\\\"uuid\\\")) ;\\n }\\n } catch (SQLException |NullPointerException e) {\\n System.out.println(\\\"Connecting to Database Failed\\\");\\n e.printStackTrace();\\n }finally {\\n DBsetup.close(conn);\\n }\\n // inits\\n\\n Random rng = new Random();\\n int len = 8;\\n boolean nonUnique;\\n\\n //loop until getting a unique id\\n String uuid = getUniqueID(uuids, rng, len);\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"92ec1a44e1d6daec7b90b49b3e520125\",\n \"score\": \"0.5545893\",\n \"text\": \"java.lang.String getServiceUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6fc396ee3f9966019e291eee502a7de4\",\n \"score\": \"0.5540946\",\n \"text\": \"public String getUUID() {\\r\\n\\t\\t\\r\\n\\t\\tString uuid = getString(UUID);\\r\\n\\t\\treturn uuid;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"77c0485f50889cae6098d79f6c1b6b46\",\n \"score\": \"0.55310655\",\n \"text\": \"public java.lang.CharSequence getUuid() {\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"60a07e1f425efebe3e55ef6a83221aaa\",\n \"score\": \"0.5528486\",\n \"text\": \"public String getUuid() {\\n return getTyped(\\\"UUID\\\", String.class);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86bc916b052ecdda4ebe259a0916c678\",\n \"score\": \"0.55279595\",\n \"text\": \"@AutoEscape\\n\\tpublic String getUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86bc916b052ecdda4ebe259a0916c678\",\n \"score\": \"0.55279595\",\n \"text\": \"@AutoEscape\\n\\tpublic String getUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86bc916b052ecdda4ebe259a0916c678\",\n \"score\": \"0.55279595\",\n \"text\": \"@AutoEscape\\n\\tpublic String getUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"86bc916b052ecdda4ebe259a0916c678\",\n \"score\": \"0.55279595\",\n \"text\": \"@AutoEscape\\n\\tpublic String getUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"272b08aeda38223af137f3375275f8cb\",\n \"score\": \"0.5516438\",\n \"text\": \"@Override\\n\\tpublic String getUserUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c66bf7906ecb1e12c53a5e198a3dd57c\",\n \"score\": \"0.5515603\",\n \"text\": \"public static String gerarUUID() {\\n\\t\\treturn UUID.randomUUID().toString().toUpperCase();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2294ea114cbcc05efff9a5fea1f1560\",\n \"score\": \"0.5509038\",\n \"text\": \"public String getUuid() {\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2294ea114cbcc05efff9a5fea1f1560\",\n \"score\": \"0.5509038\",\n \"text\": \"public String getUuid() {\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2294ea114cbcc05efff9a5fea1f1560\",\n \"score\": \"0.5509038\",\n \"text\": \"public String getUuid() {\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2294ea114cbcc05efff9a5fea1f1560\",\n \"score\": \"0.5509038\",\n \"text\": \"public String getUuid() {\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2294ea114cbcc05efff9a5fea1f1560\",\n \"score\": \"0.5509038\",\n \"text\": \"public String getUuid() {\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"60bbdaf822feff6cafe351261227cfca\",\n \"score\": \"0.54884005\",\n \"text\": \"@AutoEscape\\n\\t@Override\\n\\tpublic String getUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5514b2ee24b244f2ae85dd99562a12ba\",\n \"score\": \"0.5438976\",\n \"text\": \"public java.lang.CharSequence getUuid() {\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b1e6dba47898a2a0928b971a0045aa90\",\n \"score\": \"0.5431716\",\n \"text\": \"public String getUUID() {\\n\\t return this.uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f70530e799c1493f335c6258843211ae\",\n \"score\": \"0.5425649\",\n \"text\": \"public java.lang.String getUuid() {\\r\\n return uuid;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5555fd5d1d10c49bf5f7fdb8bb740528\",\n \"score\": \"0.5409174\",\n \"text\": \"public String uuid() {\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"28ba836e6c1d6eac99a01b09723b3130\",\n \"score\": \"0.5403663\",\n \"text\": \"public String getUuid() {\\n\\t\\treturn uuid;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"28ba836e6c1d6eac99a01b09723b3130\",\n \"score\": \"0.5403663\",\n \"text\": \"public String getUuid() {\\n\\t\\treturn uuid;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d5d771db3a4568664b88f41793abc57\",\n \"score\": \"0.5400659\",\n \"text\": \"@Override\\n public void onLeScan(BluetoothDevice device, int rssi, byte[] scanRecord) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd144ef8c3b08592170d01e5667ffc57\",\n \"score\": \"0.53941846\",\n \"text\": \"public String getUUID() {\\n return UUID;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"94928a9210ddec386425b393860978dc\",\n \"score\": \"0.53718466\",\n \"text\": \"private long uuid(int virtualViewId, int eventType) {\\n // For some event types, we will disregard the |virtualViewId| and throttle the events\\n // entirely by |eventType|.\\n if (mViewIndependentEventsToThrottle.contains(eventType)) {\\n return eventType;\\n }\\n\\n return ((long) virtualViewId << 32) | ((long) eventType);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c97cade3181ac477b01d3553e85503e3\",\n \"score\": \"0.5371733\",\n \"text\": \"long getUlRecvUid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ba7768bca529f80a8e9fe2368cba273d\",\n \"score\": \"0.5369744\",\n \"text\": \"@Override\\r\\n\\tpublic void uiDeviceFound(BluetoothDevice device, int rssi, byte[] record) {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4ceba5f2f60eb84b249c2692887f0b56\",\n \"score\": \"0.5364072\",\n \"text\": \"public com.google.protobuf.ByteString\\n getUdidBytes() {\\n java.lang.Object ref = udid_;\\n if (ref instanceof java.lang.String) {\\n com.google.protobuf.ByteString b = \\n com.google.protobuf.ByteString.copyFromUtf8(\\n (java.lang.String) ref);\\n udid_ = b;\\n return b;\\n } else {\\n return (com.google.protobuf.ByteString) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e4843b07b570cd05598d5e20349f70ba\",\n \"score\": \"0.5354794\",\n \"text\": \"@Nonnull\\n UUID getUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fbe3c77f5950f6bb35f3e4216035b97d\",\n \"score\": \"0.5348402\",\n \"text\": \"public static byte[] createTimeUUIDBytes()\\n {\\n long clock;\\n byte[] bytes;\\n long nextClock;\\n\\n // Acquire lock to assure synchornized generation\\n synchronized ( UUID.class ) {\\n clock = Clock.clock();\\n while ( true ) {\\n if ( clock > _lastClock ) {\\n // Since we are using the clock interval for the UUID space,\\n // we must make sure the next clock provides sufficient\\n // room so UUIDs do not roll over.\\n nextClock = _lastClock + ( _uuidsThisTick / 100 );\\n if ( clock <= nextClock )\\n clock = Clock.synchronize();\\n if ( clock > nextClock ) {\\n // Clock reading changed since last UUID generated,\\n // reset count of UUIDs generated with this clock.\\n _uuidsThisTick = 0;\\n _lastClock = clock;\\n // Adjust UUIDs per tick in case the clock sleep ticks\\n // have changed.\\n _uuidsPerTick = Clock.getUnsynchTicks() * 100;\\n break;\\n }\\n }\\n\\n if ( _uuidsThisTick + 1 < _uuidsPerTick ) {\\n // Clock did not advance, but able to create more UUIDs\\n // for this clock, proceed.\\n ++ _uuidsThisTick;\\n break;\\n }\\n\\n // Running out of UUIDs for the current clock tick, must\\n // wait until clock advances. Possible that clock did not\\n // advance in background, so try to synchronize it first.\\n clock = Clock.synchronize();\\n if ( clock <= _lastClock ) {\\n if ( Configuration.verbose )\\n Logger.tyrex.debug( Messages.message( \\\"tyrex.uuid.fastHolding\\\" ) );\\n while ( clock <= _lastClock ) {\\n // UUIDs generated too fast, suspend for a while.\\n try {\\n Thread.sleep( Clock.getUnsynchTicks() );\\n } catch ( InterruptedException except ) { }\\n clock = Clock.synchronize();\\n }\\n }\\n }\\n\\n // Modify Java clock (milliseconds) to UUID clock (100 nanoseconds).\\n // Add the count of uuids to low order bits of the clock reading,\\n // assuring we get a unique clock.\\n clock = ( _lastClock + JAVA_UUID_CLOCK_DIFF ) * 100 + _uuidsThisTick;\\n\\n bytes = new byte[ 16 ];\\n // Add the low field of the clock (4 octets )\\n bytes[ 0 ] = (byte) ( ( clock >> 24 ) & 0xFF );\\n bytes[ 1 ] = (byte) ( ( clock >> 16 ) & 0xFF );\\n bytes[ 2 ] = (byte) ( ( clock >> 8 ) & 0xFF );\\n bytes[ 3 ] = (byte) ( clock & 0xFF );\\n // Add the medium field of the clock (2 octets)\\n bytes[ 4 ] = (byte) ( ( clock >> 40 ) & 0xFF );\\n bytes[ 5 ] = (byte) ( ( clock >> 32 ) & 0xFF );\\n // Add the high field of the clock multiplexed with version number (2 octets)\\n bytes[ 6 ] = (byte) ( ( ( clock >> 60 ) & 0xFF ) | UUID_VERSION_CLOCK_BYTE );\\n bytes[ 7 ] = (byte) ( ( clock >> 48 ) & 0xFF );\\n // Add the clock sequence and version identifier (2 octets)\\n bytes[ 8 ] = _clockSeqByte[ 0 ];\\n bytes[ 9 ] = _clockSeqByte[ 1 ];\\n // Add the node identifier (6 octets)\\n bytes[ 10 ] = _nodeIdentifierByte[ 0 ];\\n bytes[ 11 ] = _nodeIdentifierByte[ 1 ];\\n bytes[ 12 ] = _nodeIdentifierByte[ 2 ];\\n bytes[ 13 ] = _nodeIdentifierByte[ 3 ];\\n bytes[ 14 ] = _nodeIdentifierByte[ 4 ];\\n bytes[ 15 ] = _nodeIdentifierByte[ 5 ];\\n }\\n return bytes;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fdfa0d4abd3876a6911d46ba7010c00b\",\n \"score\": \"0.53361475\",\n \"text\": \"public com.google.protobuf.ByteString\\n getUdidBytes() {\\n java.lang.Object ref = udid_;\\n if (ref instanceof String) {\\n com.google.protobuf.ByteString b = \\n com.google.protobuf.ByteString.copyFromUtf8(\\n (java.lang.String) ref);\\n udid_ = b;\\n return b;\\n } else {\\n return (com.google.protobuf.ByteString) ref;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6f9e13b509cc96354a477653af972f1c\",\n \"score\": \"0.5330181\",\n \"text\": \"private String getUUID() {\\r\\n \\r\\n return uuid_jtf.getText();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"141fe91a4535f25d330220c9d605ec08\",\n \"score\": \"0.5299348\",\n \"text\": \"public UUID getUuid() {\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"141fe91a4535f25d330220c9d605ec08\",\n \"score\": \"0.5299348\",\n \"text\": \"public UUID getUuid() {\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46f10b200964d0577b680d575cfa9b83\",\n \"score\": \"0.52986544\",\n \"text\": \"com.google.protobuf.ByteString\\n getAdaptationUttidBytes(int index);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f6ed389e7692c43b0c76cee1514b91a0\",\n \"score\": \"0.52882195\",\n \"text\": \"public final UUID getUUID() {\\n\\t\\treturn uuid;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9a426d4bf2fedaa250b26855088902be\",\n \"score\": \"0.5285263\",\n \"text\": \"public String mo5544a(int i) {\\n String str;\\n String str2 = null;\\n if (f6523d == null) {\\n return \\\"No_Adapter\\\";\\n }\\n if (this.f6555e == null) {\\n return \\\"No_Gatt\\\";\\n }\\n switch (i) {\\n case 3:\\n str = \\\"054ac620-3214-11e6-ac0d-0002a5d5c51b\\\";\\n str2 = \\\"69e4d998-54b7-40f5-a5f8-4cc236cd2347\\\";\\n break;\\n case 5:\\n str = \\\"054ac620-3214-11e6-ac0d-0002a5d5c51b\\\";\\n str2 = \\\"e206a5c0-3214-11e6-afe4-0002a5d5c51b\\\";\\n break;\\n case 6:\\n str = \\\"054ac620-3214-11e6-ac0d-0002a5d5c51b\\\";\\n if (!this.f6576z) {\\n str2 = \\\"a09fad60-3215-11e6-bdc0-0002a5d5c51b\\\";\\n break;\\n } else {\\n str2 = \\\"c97cf1a5-3c03-4290-8c1b-9e74b9500f54\\\";\\n break;\\n }\\n case 15:\\n str = \\\"6b005f20-3214-11e6-a5ac-0002a5d5c51b\\\";\\n str2 = \\\"e1392720-3215-11e6-a035-0002a5d5c51b\\\";\\n break;\\n case 28:\\n str = \\\"f3b05360-3215-11e6-8529-0002a5d5c51b\\\";\\n str2 = \\\"9c781c60-3218-11e6-9932-0002a5d5c51b\\\";\\n break;\\n case 34:\\n str = \\\"7ddc40a0-3214-11e6-b4d0-0002a5d5c51b\\\";\\n if (!this.f6576z) {\\n str2 = \\\"20f5fffc-fa4d-43b6-be55-321b3df3687c\\\";\\n break;\\n } else {\\n str2 = \\\"3d22c6be-baa6-451b-aa2c-f96c50005910\\\";\\n break;\\n }\\n case 35:\\n str = \\\"054ac620-3214-11e6-ac0d-0002a5d5c51b\\\";\\n str2 = \\\"03e23a31-a54c-40fa-a668-de9acdc910bb\\\";\\n break;\\n case 36:\\n str = \\\"054ac620-3214-11e6-0001-0002a5d5c51b\\\";\\n str2 = \\\"054ac621-3214-11e6-0001-0002a5d5c51b\\\";\\n break;\\n case 37:\\n str = \\\"054ac620-3214-11e6-0001-0002a5d5c51b\\\";\\n str2 = \\\"054ac622-3214-11e6-0001-0002a5d5c51b\\\";\\n break;\\n case 38:\\n str = \\\"054ac620-3214-11e6-0001-0002a5d5c51b\\\";\\n str2 = \\\"054ac623-3214-11e6-0001-0002a5d5c51b\\\";\\n break;\\n default:\\n str = null;\\n break;\\n }\\n BluetoothGattService service = this.f6555e.getService(UUID.fromString(str));\\n if (service == null) {\\n C2261g.m9769c(\\\"ImageAppTotalService\\\", \\\"readCharacteristic: readCharacteristic false1\\\");\\n return \\\"No_GattService\\\";\\n }\\n BluetoothGattCharacteristic characteristic = service.getCharacteristic(UUID.fromString(str2));\\n if (characteristic == null) {\\n C2261g.m9769c(\\\"ImageAppTotalService\\\", \\\"readCharacteristic: readCharacteristic false2\\\");\\n return \\\"No_GattChar\\\";\\n } else if (this.f6555e.readCharacteristic(characteristic)) {\\n return \\\"Success\\\";\\n } else {\\n C2261g.m9769c(\\\"ImageAppTotalService\\\", \\\"readCharacteristic: readCharacteristic false3\\\");\\n return \\\"Read_Error\\\";\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"561533bdd7902bcf81654166e662705d\",\n \"score\": \"0.5284612\",\n \"text\": \"public static synchronized String getNewUUID() {\\r\\n // Create a message id with VM id, current time,\\r\\n // and a random number from our secure random generator\\r\\n String separator = \\\"-\\\"; //$NON-NLS-1$\\r\\n StringBuilder input = new StringBuilder();\\r\\n input.append(sVmid.toString());\\r\\n input.append(separator);\\r\\n input.append(System.currentTimeMillis());\\r\\n input.append(separator);\\r\\n input.append(sRandom.nextLong());\\r\\n\\r\\n // get the SHA digest of the id input\\r\\n byte[] sha = sShaDigest.digest(input.toString().getBytes());\\r\\n\\r\\n // get a hex string of the hash\\r\\n StringBuilder buffer = new StringBuilder();\\r\\n for (byte s : sha) {\\r\\n int b = s & 0xFF;\\r\\n if (b < 0x10) buffer.append('0');\\r\\n buffer.append(Integer.toHexString(b));\\r\\n }\\r\\n String hexString = buffer.toString();\\r\\n\\r\\n // Format as a uuid URI\\r\\n StringBuilder uuid = new StringBuilder();\\r\\n uuid.append(\\\"uuid:\\\"); //$NON-NLS-1$\\r\\n uuid.append(hexString.substring(0, 8));\\r\\n uuid.append(separator);\\r\\n uuid.append(hexString.substring(8, 12));\\r\\n uuid.append(separator);\\r\\n uuid.append(hexString.substring(12, 20));\\r\\n uuid.append(separator);\\r\\n uuid.append(hexString.substring(20));\\r\\n\\r\\n return uuid.toString();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"47d9af93839f025f3f1862809da6dd98\",\n \"score\": \"0.5279647\",\n \"text\": \"@DSSource({DSSourceKind.NFC})\\n @DSGenerator(tool_name = \\\"Doppelganger\\\", tool_version = \\\"2.0\\\", generated_on = \\\"2013-12-30 12:30:50.202 -0500\\\", hash_original_method = \\\"9D6A9E4635BF3A5F066D2AADCC504C7A\\\", hash_generated_method = \\\"04D08F0620A42926911203A7CA2E323E\\\")\\n \\npublic byte[] getId() {\\n return mId.clone();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a26024ed23b720af31bd556a78bfe114\",\n \"score\": \"0.5276168\",\n \"text\": \"public UUID()\\n\\t{\\n\\t\\tlong\\t\\ttime;\\n\\t\\tint\\t\\t\\ttime_hi;\\n\\t\\tint\\t\\t\\ttime_lo;\\n\\n\\t\\ttime\\t = new GregorianCalendar( 1582, 9, 15 ).getTimeInMillis();\\t// 15-Oct-1582\\n\\t\\ttime\\t = Calendar.getInstance(TimeZone.getTimeZone(\\\"UCT\\\")).getTimeInMillis() - time;\\n\\t\\ttime\\t<<= 19;\\n\\t\\ttime\\t &= 0x0fffffffffffffffL;\\n\\t\\ttime\\t |= 0x1000000000000000L;\\n\\t\\ttime_hi\\t = (int)(time >>> 32);\\n\\t\\ttime_lo\\t = (int) time;\\n\\n\\t\\tUtil.putIntToByteArray( TheUUID, time_lo, 0 );\\n\\t\\tUtil.putIntToByteArray( TheUUID, time_hi, 4 );\\n\\n\\t\\tTheUUID[0]\\t= Util.newRand();\\n\\t\\tTheUUID[1]\\t= Util.newRand();\\n\\t\\tTheUUID[2]\\t= (byte)(Util.newRand() & 0x07);\\n\\t\\tTheUUID[8]\\t= (byte)(Util.newRand() & 0x3f);\\n\\t\\tTheUUID[9]\\t= Util.newRand();\\n\\t\\tTheUUID[10]\\t= Util.newRand();\\n\\t\\tTheUUID[11]\\t= Util.newRand();\\n\\t\\tTheUUID[12]\\t= Util.newRand();\\n\\t\\tTheUUID[13]\\t= Util.newRand();\\n\\t\\tTheUUID[14]\\t= Util.newRand();\\n\\t\\tTheUUID[15]\\t= Util.newRand();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f0ee1d44ac8aa28d8fe70d842aac2952\",\n \"score\": \"0.52691877\",\n \"text\": \"public UUID getUUID()\\n {\\n return uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1fe849c59fd3c666743832e04d51919c\",\n \"score\": \"0.525641\",\n \"text\": \"java.lang.String getMigrationUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"455d661157f7a39e472b4c58de91172d\",\n \"score\": \"0.5252497\",\n \"text\": \"UUID getPlayerUuid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f06bd350eea2e84d971d97604bb17726\",\n \"score\": \"0.5248125\",\n \"text\": \"@Override\\n\\tpublic final void write(UUID value) throws IOException {\\n\\t\\t// .NET's binary format for GUID's is little endian, and done in segments, so we\\n\\t\\t// have to exactly emulate that.\\n\\t\\tbyte[] net = new byte[16];\\n\\n\\t\\t// Based on\\n\\t\\t// https://stackoverflow.com/questions/5745512/how-to-read-a-net-guid-into-a-java-uuid\\n\\t\\tbyte[] javaLeastSignificantBytes = toBytes(value.getLeastSignificantBits());\\n\\t\\tfor (int i = 8; i < 16; i++) {\\n\\t\\t\\tnet[i] = javaLeastSignificantBytes[i - 8];\\n\\t\\t}\\n\\n\\t\\t// and now do the swaps that are in different order...\\n\\t\\tbyte[] javaMostSignificantBytes = toBytes(value.getMostSignificantBits());\\n\\t\\tnet[3] = javaMostSignificantBytes[0];\\n\\t\\tnet[2] = javaMostSignificantBytes[1];\\n\\t\\tnet[1] = javaMostSignificantBytes[2];\\n\\t\\tnet[0] = javaMostSignificantBytes[3];\\n\\t\\tnet[5] = javaMostSignificantBytes[4];\\n\\t\\tnet[4] = javaMostSignificantBytes[5];\\n\\t\\tnet[6] = javaMostSignificantBytes[7];\\n\\t\\tnet[7] = javaMostSignificantBytes[6];\\n\\n\\t\\twriteBytes(net);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e767e17e7673b81f6ed9bdf7c71d07b6\",\n \"score\": \"0.52350616\",\n \"text\": \"public UUID getUuid() {\\n return (uuidProperty == null)\\n ? new UUID(uuidMsb, uuidLsb)\\n : uuidProperty.get();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1c1f61c34e7fd5175f98922985f37391\",\n \"score\": \"0.5226147\",\n \"text\": \"com.google.protobuf.ByteString getUidBytes();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c1c0086c32fa2d0fee1501be879c9919\",\n \"score\": \"0.52093846\",\n \"text\": \"public String getUserUuid() throws SystemException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9127fad9782f46aa37c630967e897309\",\n \"score\": \"0.5203786\",\n \"text\": \"String getUserGUID();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aba1bee535dc0ac55f1502c104fde1f7\",\n \"score\": \"0.51950306\",\n \"text\": \"public static String messageUUID(ReviewDb db) throws OrmException {\\n int p;\\n int s;\\n synchronized (uuidLock) {\\n if (uuidSeq == 0) {\\n uuidPrefix = db.nextChangeMessageId();\\n uuidSeq = Integer.MAX_VALUE;\\n }\\n p = uuidPrefix;\\n s = uuidSeq--;\\n }\\n String u = IdGenerator.format(IdGenerator.mix(SEED, p));\\n String l = IdGenerator.format(IdGenerator.mix(p, s));\\n return u + '_' + l;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9028f3c462b2d2b0f2294ad65c6c6dd2\",\n \"score\": \"0.5186722\",\n \"text\": \"public abstract String getGUID();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"92de3383fb8f80521e1bb569d12c4813\",\n \"score\": \"0.5184204\",\n \"text\": \"static private UUID getUuidExtra(Intent intent) {\\n String uuidStr = intent.getStringExtra(EXTRA_UUID);\\n if (uuidStr != null && uuidStr.length() == 4) {\\n uuidStr = String.format(\\\"0000%s-0000-1000-8000-00805f9b34fb\\\", uuidStr);\\n }\\n return (uuidStr != null) ? UUID.fromString(uuidStr) : null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"de1c75d31757a6f23b0051b8cd275639\",\n \"score\": \"0.5182092\",\n \"text\": \"public java.lang.String getUdid() {\\n java.lang.Object ref = udid_;\\n if (ref instanceof java.lang.String) {\\n return (java.lang.String) ref;\\n } else {\\n com.google.protobuf.ByteString bs = \\n (com.google.protobuf.ByteString) ref;\\n java.lang.String s = bs.toStringUtf8();\\n udid_ = s;\\n return s;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e56d9782a397e03e7509ec0dd982d0e6\",\n \"score\": \"0.5181323\",\n \"text\": \"public byte [] getBytes()\\n\\t{\\n\\t\\treturn Util.cloneByteArray( TheUUID );\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4da037e09bab3332476355c7cfb4b501\",\n \"score\": \"0.5175409\",\n \"text\": \"public byte getDeviceID() \\n\\t{\\n\\t\\treturn getRegisterBits( ITG3200_RA_WHO_AM_I, ITG3200_DEVID_BIT, ITG3200_DEVID_LENGTH );\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"917fea535ff264ddd2923131dd44fd11\",\n \"score\": \"0.5170308\",\n \"text\": \"public UUID getUuid()\\n {\\n return m_uuid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd6a13e0959bc271457c57a7b1bfcead\",\n \"score\": \"0.5154208\",\n \"text\": \"public UUID getUUID() {\\n return new UUID(id.bytesIntoLong(CodatID.idOffset), id.bytesIntoLong(CodatID.idOffset + 8));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ed19897ef9d597ae05ffa360f44323e2\",\n \"score\": \"0.51378137\",\n \"text\": \"public static java.util.UUID a(byte[] r9) {\\n /*\\n bky r0 = new bky\\n r0.<init>(r9)\\n int r9 = r0.c\\n r1 = 0\\n r2 = 32\\n if (r9 >= r2) goto L_0x000f\\n L_0x000c:\\n L_0x000d:\\n r9 = r1\\n goto L_0x007b\\n L_0x000f:\\n r9 = 0\\n r0.c(r9)\\n int r2 = r0.j()\\n int r3 = r0.b()\\n int r3 = r3 + 4\\n if (r2 != r3) goto L_0x000c\\n int r2 = r0.j()\\n r3 = 1886614376(0x70737368, float:3.013775E29)\\n if (r2 != r3) goto L_0x000c\\n int r2 = r0.j()\\n int r2 = defpackage.apu.c(r2)\\n r3 = 1\\n if (r2 <= r3) goto L_0x004d\\n java.lang.StringBuilder r9 = new java.lang.StringBuilder\\n r0 = 37\\n r9.<init>(r0)\\n java.lang.String r0 = \\\"Unsupported pssh version: \\\"\\n r9.append(r0)\\n r9.append(r2)\\n java.lang.String r9 = r9.toString()\\n java.lang.String r0 = \\\"PsshAtomUtil\\\"\\n android.util.Log.w(r0, r9)\\n goto L_0x000d\\n L_0x004d:\\n java.util.UUID r4 = new java.util.UUID\\n long r5 = r0.l()\\n long r7 = r0.l()\\n r4.<init>(r5, r7)\\n if (r2 != r3) goto L_0x0065\\n int r2 = r0.n()\\n int r2 = r2 << 4\\n r0.d(r2)\\n L_0x0065:\\n int r2 = r0.n()\\n int r3 = r0.b()\\n if (r2 != r3) goto L_0x007a\\n byte[] r3 = new byte[r2]\\n r0.a(r3, r9, r2)\\n aqm r9 = new aqm\\n r9.<init>(r4)\\n goto L_0x007b\\n L_0x007a:\\n goto L_0x000c\\n L_0x007b:\\n if (r9 == 0) goto L_0x0080\\n java.util.UUID r9 = r9.a\\n return r9\\n L_0x0080:\\n return r1\\n */\\n throw new UnsupportedOperationException(\\\"Method not decompiled: defpackage.bty.a(byte[]):java.util.UUID\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f2da6289943d3bdee5619987ad75694f\",\n \"score\": \"0.5136172\",\n \"text\": \"protected synchronized String generateUUIDByTime() {\\r\\n\\t short cur = (short)System.currentTimeMillis();\\r\\n\\t if (cur<0) cur = (short)-cur;\\r\\n\\t return prefixUUID + cur + counterUUID++;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e0339ff38ae9985f2e1d3970f6136e6c\",\n \"score\": \"0.5123965\",\n \"text\": \"public UUID getUuid() {\\n\\t\\t\\treturn uuid;\\n\\t\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":989694,"cells":{"query_id":{"kind":"string","value":"d7830e0129ed54acac67aa4f5767d072"},"query":{"kind":"string","value":"Operation auf einem Knoten, bevor die NAchkommen besuchr wurden."},"positive_passages":{"kind":"list like","value":[{"docid":"e889fd72fd2469c001743f212b8c5509","score":"0.0","text":"abstract protected void preOperation(N value);","title":""}],"string":"[\n {\n \"docid\": \"e889fd72fd2469c001743f212b8c5509\",\n \"score\": \"0.0\",\n \"text\": \"abstract protected void preOperation(N value);\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"b64e46aee409cbde3ab0418f034e0c29","score":"0.6046582","text":"LogicScrabble Negación();","title":""},{"docid":"010b5f18b92b8534f7014502ba87f8c8","score":"0.5896966","text":"@Override\n\tpublic void nonaktifKeluarga(String nkk) {\n\t\tmapper.nonaktifKeluarga(nkk);\n\t}","title":""},{"docid":"d0c69667ce89b7378f89235434e4286c","score":"0.5885146","text":"@Override\n public void hasil(int kokoh, int kuncipj, int bahaya) {\n }","title":""},{"docid":"017c51ec94ffaac2fc444ddeccb31c44","score":"0.5862962","text":"@Override\n public boolean isNoOp() {\n return true;\n }","title":""},{"docid":"fa29da40be3a8b33b07b21fe8e0ba298","score":"0.57253796","text":"@Override\n\tpublic void notity() {\n\t\t\n\t}","title":""},{"docid":"b80762ddc27e69cf3ba279e5fa36704e","score":"0.57217336","text":"public T caseNotOperation(NotOperation object) {\n\t\treturn null;\n\t}","title":""},{"docid":"71ee6126cff25dd4e81da0587741e1a7","score":"0.5691811","text":"public boolean isNoOp() {\n return noOp;\n }","title":""},{"docid":"3b0d925f493b849ee7837caeab686632","score":"0.567884","text":"public Boolean isNotOperation(){\r\n\t\treturn false;\r\n\t}","title":""},{"docid":"4ffa2d56d749bb2c6f1c1653f22cf764","score":"0.5622246","text":"public boolean isNa();","title":""},{"docid":"8cd99458eafac67ce24a914adf99bc49","score":"0.5585812","text":"@Override\r\n\tpublic Boolean ErrOperate(int dataId) {\n\t\treturn null;\r\n\t}","title":""},{"docid":"8cd99458eafac67ce24a914adf99bc49","score":"0.5585812","text":"@Override\r\n\tpublic Boolean ErrOperate(int dataId) {\n\t\treturn null;\r\n\t}","title":""},{"docid":"14cb9a1f808a8335c2da2eb74993c73e","score":"0.5567145","text":"@Override\n public void hasil(int Kebisingan, int Bau, int Kebocoran, int Kerusakan, int Keausan) {\n }","title":""},{"docid":"9c6618f4bbbd4e7f825ccbf9982ff2e8","score":"0.55439556","text":"boolean cancelledByOperator();","title":""},{"docid":"503a820c32efad24e10c421e9f0138fa","score":"0.5521499","text":"abstract void addKnot(DL_KnotData data);","title":""},{"docid":"2a68cb3241304343506cfcfdb7de6895","score":"0.5442269","text":"boolean hasNa();","title":""},{"docid":"1b75110746401ea172e14ce772d91603","score":"0.54113895","text":"@Override\n public Object visit(ASTNot astNot, Object data) throws VisitorException {\n //Preconditions\n assert astNot != null : \"astNot must not be null\";\n assert astNot.jjtGetNumChildren() == 1 : \"astNot must have one child\";\n\n final AbstractOperator operator = (AbstractOperator) astNot.jjtGetChild(0).jjtAccept(this, null);\n return new NotOperator(operator);\n }","title":""},{"docid":"fea350c45c3e42f68d43efd6e4f7244d","score":"0.539411","text":"private EventLogicalNOT() {\n //\n }","title":""},{"docid":"95a3f6e0891bd0ad73cce5dc2424f0a4","score":"0.5388661","text":"public void test01() {\n\t\t\tassertFalse(\"null data\", self.wellFormed());\n\t\t}","title":""},{"docid":"e3aa7bd01486a930231590c6c209d74d","score":"0.5385827","text":"private void validateNF() throws NotValidNFException {\n\t\ttry {\n\t\t\t_impostos = DbConnectTax.getInstance().calculateTax(_itensLista);\n\t\t\t//System.out.println(\"Impostos Total:\"+_impostos);\n\t\t} catch (Exception e) {\n\t\t\tthrow new NotValidNFException();\t\t\t\n\t\t}\n\t\t\n\t}","title":""},{"docid":"a6366a76ed95a6be6c2f612e19b04955","score":"0.53769785","text":"public void testCalculationOfNonExistingNode() throws Exception {\n Text text41 = (Text) this.chibaBean.getContainer().lookup(\"i-41\");\n\n assertValue(\"\", text41);\n }","title":""},{"docid":"12291d3255a3eda344b67e6146af6be7","score":"0.5373686","text":"public Value uopLogicalNot()\n throws PackagedScriptObjectException\n {\n return get().uopLogicalNot();\n }","title":""},{"docid":"920820ad504ae1193bb1943592d19aac","score":"0.53379816","text":"public void setNotes_IsNotNull() { regNotes(CK_ISNN, DOBJ); }","title":""},{"docid":"46b200155bff653261615d1353b04ab3","score":"0.53215456","text":"NotOpCallExp createNotOpCallExp();","title":""},{"docid":"d9a95dd2ee4d92b0b82276412047189d","score":"0.5320447","text":"public boolean isOp();","title":""},{"docid":"7af3e91e59d4de75af1d9c1567320e61","score":"0.5311582","text":"@Override\r\n\tpublic void applicaOperazione(OrdinazioneNonInCorso onic) {\n\r\n\t}","title":""},{"docid":"ceb68a4dfa9e7dbd7f5d84d2b0cd0360","score":"0.5305665","text":"public void validateNoMissingProp(int oper) throws IOException\r\n\t{\r\n\t\terrMsg.setLength(0);\r\n\t\tboolean validationFailed = false;\r\n\t\tswitch(oper)\r\n\t\t{\r\n\t\t\tcase 1:\r\n\t\t\t\tvalidationFailed = UtilFunction.validateChild(props,errMsg);\r\n\t\t\t\tbreak;\r\n\t\t\tcase 2:\r\n\t\t\t\tvalidationFailed = UtilFunction.validateParent(props,errMsg);\r\n\t\t\t\tbreak;\r\n\t\t\tcase 3:\r\n\t\t\t\tvalidationFailed = UtilFunction.validateCountElement(props,errMsg);\r\n\t\t\t\tbreak;\r\n\t\t\tcase 4:\r\n\t\t\t\tvalidationFailed = UtilFunction.validateURL(props,errMsg);\r\n\t\t\t\tbreak;\r\n\t\t}\t\r\n\t\tassertFalse(\"There should be no error msg=\"+errMsg.toString()+\". Validation flag =\"+validationFailed, validationFailed);\r\n\t\tassertTrue(errMsg.toString().length()==0);\r\n\t\terrMsg.setLength(0);\r\n\t}","title":""},{"docid":"50407e443ecbb654f2b1eb471941e528","score":"0.5292579","text":"@Test(timeout = 4000)\n public void test15() throws Throwable {\n System.setCurrentTimeMillis((-1285L));\n StringReader stringReader0 = new StringReader(\"not\");\n StreamTokenizer streamTokenizer0 = new StreamTokenizer(stringReader0);\n JSTerm jSTerm0 = new JSTerm(streamTokenizer0);\n jSTerm0.add((Object) null);\n // Undeclared exception!\n try { \n jSTerm0.standarizerPredicateForm();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"umd.cs.shop.JSPredicateForm\", e);\n }\n }","title":""},{"docid":"64db6460d14fb4cbb829a704c7c4dd7f","score":"0.52833927","text":"@Override\r\n public boolean isOperation() {\r\n return false;\r\n }","title":""},{"docid":"420c3a924ce4a15bc7a7ef34661bc244","score":"0.52720416","text":"public void calcularCantidad()\r\n/* 1029: */ {\r\n/* 1030: 973 */ if ((this.lecturaBalanza != null) && (this.lecturaBalanza.getUnidadManejo() != null)) {\r\n/* 1031: 974 */ this.servicioMarcacionDispositivo.calcularCantidad(this.lecturaBalanza);\r\n/* 1032: */ }\r\n/* 1033: */ }","title":""},{"docid":"7794c01af90ea1e7cd485c53bbcab686","score":"0.5265801","text":"@Test\r\n\tpublic void dieForZeroSatisfaction() throws Exception \r\n\t{\r\n\t\tfinal Tamagotchi tama = new Tamagotchi(\"Kira\", 0, 50);\r\n\t\tassertFalse(tama.isVivo());\r\n\t}","title":""},{"docid":"77fc8a770bce71cd30db373529e29c07","score":"0.52585536","text":"boolean hasNaem();","title":""},{"docid":"4976adf10ecc19192e8c9b8e9cba51ad","score":"0.5235337","text":"public Boolean isImpliesOperation(){\r\n\t\treturn false;\r\n\t}","title":""},{"docid":"9fc8601b1a9dbf61d379b2d8d968ca45","score":"0.5200551","text":"public Boolean isKindOfOperation(){\r\n\t\treturn false;\r\n\t}","title":""},{"docid":"54eb4170a518750dc25f2b9dc25a3b98","score":"0.51951736","text":"@Override protected Object eval() {\n\t\t\t\tFunction not = null;\n\t\t\t\treturn not.apply(lookup(node.exp0));\n\t\t\t}","title":""},{"docid":"9b35cadeb65e5a45a36a526c5bc6ac0e","score":"0.51726204","text":"public void testCheckWeights_NaNTolerance() {\n try {\n section.checkWeights(Float.NaN);\n fail(\"IllegalArgumentException expected.\");\n } catch (IllegalArgumentException iae) {\n //good\n }\n }","title":""},{"docid":"b3b1b53dc2b25a77518efc6e2857bc81","score":"0.5168812","text":"void visitIsNan(long resultType, long result, long x);","title":""},{"docid":"294608e413de02bd5ef0d1f53954a16a","score":"0.51632833","text":"public T caseNoOp(NoOp object)\n {\n return null;\n }","title":""},{"docid":"51cb0961d5b44a1816b110806ff6add2","score":"0.5161493","text":"public void visit(OmpDfltNoneClause n);","title":""},{"docid":"bb8a9e88e4f14f4ef761f32e88e1cded","score":"0.515665","text":"@Test\n public void testOper() {\n System.out.println(\"oper\");\n Character value = null;\n boolean expResult = false;\n boolean result = Funciones.oper(value);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }","title":""},{"docid":"5000c596b2d30f960513daeb0117008a","score":"0.51451844","text":"void visitNot(long resultType, long result, long operand);","title":""},{"docid":"96464c4d84dc16c9ee17c01880c45e9b","score":"0.5136531","text":"public void setOp(boolean arg0) {\n\t\t\n\t}","title":""},{"docid":"3afdfbdfc51ff509a7396af516be3160","score":"0.51316226","text":"@Override\n\tprotected void paketNieJeMoj(Paket paket) {\n\t\tSystem.out.println(\"Ja \" + this + \" ignorujem \" + paket);\n\t}","title":""},{"docid":"bf09703c092038087f9f66ddc9f95b8e","score":"0.5126319","text":"@Test\n\tpublic void NieksztaltekReturnsValueWithoutChanges() {\n\t\tassertThat(test.Nieksztaltek(924), is(924));\n\t}","title":""},{"docid":"ec71a8cf0b5e0aa7bb8f86f528e95702","score":"0.51219505","text":"@Test\r\n\tpublic void testTermAtNullResult() throws Exception{\r\n\t\t\r\n\t\tTestPolynomial pol = new TestPolynomial();\r\n\t\t\r\n\t\t\r\n\t\tassertNull(pol.termAt(1));\r\n\t\t\r\n\t\t\r\n\t}","title":""},{"docid":"2c44d1201cda6e64743588f15227764e","score":"0.51164985","text":"@Override\n\tpublic Object visitOperator(Operator op, Integer arg) {\n\t\treturn null;\n\t}","title":""},{"docid":"f8cdb6a376c1770737c60e93f08f6fea","score":"0.5111469","text":"public void testNegate(){\r\n\t\t \r\n\t\t Quantity newQ = dCon.negate();\r\n\t\t \r\n\t\t double result=(-3.14159);\t\t \r\n\t\t Quantity resultQ = new Quantity(result,null,null);\r\n\t\t \r\n\t\t assertEquals(true, newQ.equals(resultQ));\r\n\t }","title":""},{"docid":"39995ddbfe56b13c79d380dc69bdc350","score":"0.510597","text":"public void setNotes_IsNull() { regNotes(CK_ISN, DOBJ); }","title":""},{"docid":"26cc8e54f333033acbc08eed19d56ade","score":"0.50832224","text":"@Test\n public void errorKeyNoThrowable()\n {\n var key1 = ErrorCounter.getErrorKey(\"Test1\", null);\n var key2 = ErrorCounter.getErrorKey(\"Test2\", null);\n assertNotEquals(key1, key2);\n }","title":""},{"docid":"14f24979d8cc3698c7a9586660a57d18","score":"0.507951","text":"protected abstract boolean isNothing();","title":""},{"docid":"748c65871d2c49d20f5a694a7be18fac","score":"0.5075164","text":"@Override\n protected boolean isBinaryOp()\n {\n return true;\n }","title":""},{"docid":"435e7513e5c01bb429d75896fe6fbf3f","score":"0.5074453","text":"public boolean isNotPresent();","title":""},{"docid":"78988003d48466d62b94973eb79a4945","score":"0.5065114","text":"@Test\r\n public void whenNoOperationThenResultIsZero() {\r\n Assert.assertThat(calculator.getResult(), is(0.0));\r\n }","title":""},{"docid":"00c0d5b147ff283f2efda62cd9319cf2","score":"0.50591743","text":"@Test\r\n public void testDiscretizeNoClassIndex()\r\n {\r\n // did not set class index\r\n try\r\n {\r\n assertEquals(\"Should return null when class index is not set\", null, numericalClass.discretize(null));\r\n } catch (Exception e)\r\n {\r\n fail(\"Should not reach exception\");\r\n }\r\n\r\n }","title":""},{"docid":"53834ae297f15bf4fad83ae7ef86e383","score":"0.5052525","text":"@Test(timeout = 4000)\n public void test30() throws Throwable {\n JSTerm jSTerm0 = new JSTerm();\n jSTerm0.add((Object) \"not\");\n // Undeclared exception!\n try { \n jSTerm0.standarizerPredicateForm();\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 1 >= 1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }","title":""},{"docid":"32aae7ddc5e595996fc6989d1d8eaf0a","score":"0.5047246","text":"@Test\r\n public void testGetVapaaehtoisetKentat() {\r\n LinkedHashMap<String, String> vapaaehtoisetKentat = new LinkedHashMap<String, String>();\r\n vapaaehtoisetKentat.put(\"nimi\", null);\r\n Viite instance = new Viite(\"article\", \"W06\", new ArrayList<String>(), new LinkedHashMap<String, String>(), vapaaehtoisetKentat);\r\n String expResult = \"nimi\";\r\n Boolean result = instance.getVapaaehtoisetKentat().containsKey(expResult);\r\n assertEquals(true, result);\r\n }","title":""},{"docid":"4f8e76355218a0a20d06fc0d0564a40a","score":"0.5046288","text":"boolean callOnNull();","title":""},{"docid":"a2f4f154bd3549e32a9cf721cbb48e26","score":"0.50399256","text":"protected abstract void izvrsiKonkretnuOperaciju(Object obj) throws Exception;","title":""},{"docid":"232ba777558684bb9c2cf101ea44099e","score":"0.5031143","text":"@Test\n public void getGrupoDeInteresNoExistenteTest() {\n GrupoDeInteresEntity resultEntity = grupoDeInteresLogic.getGrupoDeInteres(-1L);\n Assert.assertNull(resultEntity);\n }","title":""},{"docid":"83f2e2fb7df3813b19fab8b9cccb5e1a","score":"0.5029928","text":"@Override\n\tpublic int cekNkk(String nkk) {\n\t\treturn mapper.cekNKK(nkk);\n\t}","title":""},{"docid":"9827df70e080e13f1404bccb8f9430e3","score":"0.5025805","text":"@Test\r\n public void testGetPakollisetKentat() {\r\n LinkedHashMap<String, String> pakollisetKentat = new LinkedHashMap<String, String>();\r\n pakollisetKentat.put(\"nimi\", null);\r\n Viite instance = new Viite(\"article\", \"W06\", new ArrayList<String>(), pakollisetKentat, new LinkedHashMap<String, String>());\r\n String expResult = \"nimi\";\r\n Boolean result = instance.getPakollisetKentat().containsKey(expResult);\r\n assertEquals(true, result);\r\n }","title":""},{"docid":"67e1ef08f2b1cbf2386d7ec356668fda","score":"0.50249153","text":"@Test\n public void test31() throws Throwable {\n CostMatrix costMatrix0 = Evaluation.handleCostOption((String) null, 10818);\n assertNull(costMatrix0);\n }","title":""},{"docid":"c74ade378f44ed00414894798ffeac9c","score":"0.50229","text":"@Test()\n\tvoid whenInValidOperationReturnsFalse() {\n\t\tOperator operator1 = Operator.builder().value(12d).build();\n\t\tOperator operator2 = Operator.builder().value(22d).build();\n\t\tOperator operator = Operator.builder().operator1(operator1).operator2(operator2).build();\n\t\tassertEquals(false, calculatorService.isValidOperator(operator));\n\t}","title":""},{"docid":"5c56dc3224ffa37eb87499e6be2c36b2","score":"0.50194705","text":"void visitLogicalNot(long resultType, long result, long operand);","title":""},{"docid":"e2ec85f0575262ded9b2dfcc37ebb3a4","score":"0.5017409","text":"public void testKontoLoeschenNichtVorhanden() {\n boolean ok = b1.kontoLoeschen(4);\n assertFalse(ok);\n }","title":""},{"docid":"5d7db9a6bb1c8b16ea0479e7634b81c3","score":"0.50146073","text":"public boolean obtenirMiss() {\n\t\treturn matriusCarregades[matriuActual].obtenirMiss();\n\t}","title":""},{"docid":"2e66f00309786d6289593d3e62c923e1","score":"0.50142205","text":"private void checkEsisteCronoprogrammaConStessoCodiceEStatoOperativo() {\n\t\tList<Integer> uid = cronoprogrammaDad.findUidCronoprogrammaConStessoCodiceNonAnnullatoAndUidProgettoAndBilancio(cronoprogramma);\n\t\tif(uid!=null && !uid.isEmpty()){\n\t\t\tthrow new BusinessException(ErroreCore.ENTITA_PRESENTE.getErrore(\"cronoprogramma\",cronoprogramma.getCodice()+\"/\"+cronoprogramma.getStatoOperativoCronoprogramma()), Esito.FALLIMENTO);\n\t\t}\t\t\n\t}","title":""},{"docid":"f2be81b9f1d8f13d1d011d77f397e6f8","score":"0.5007055","text":"@Override\r\n\t\tpublic boolean action(Node n)\r\n\t\t{\n\t\t\treturn false;\r\n\t\t}","title":""},{"docid":"73f1fe026b521f5bc9452c45db318f75","score":"0.5005581","text":"@Override\n\tpublic int answerDelte() {\n\t\treturn 0;\n\t}","title":""},{"docid":"a5fe84cc1b708d13f30a63909a316102","score":"0.5004143","text":"@Override\r\n public boolean isOperation() {\r\n return true;\r\n }","title":""},{"docid":"38af9b46341df8c257dabbcfa315915a","score":"0.5002997","text":"@Test\n\tpublic void checkVIF_VIFChecked_CheckFalse(){\n\t\t\n\t\tHashSet<String> set1;\n\t\t\n\t\tset1 = new HashSet<String>();\n\t\tfor(int i=1;i<=3;i++){\n\t\t\tset1.add(\"pred\" + i);\n\t\t}\n\t\ttry {\n\t\t\tlnm1.fitModel(set1);\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\t\n\t\ttry {\n\t\t\tassertFalse(lnm1.checkVIF(5,null));\n\t\t\tassertFalse(lnm1.checkVIF(126,null));\n\t\t\tassertTrue(lnm1.checkVIF(127,null));\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\n\t}","title":""},{"docid":"5d4340dfd143bd91747658a4799d075a","score":"0.50026876","text":"void visitFUnordNotEqual(long resultType, long result, long operand1, long operand2);","title":""},{"docid":"78fc6bd77250ed86c12811859cf2b198","score":"0.4997876","text":"public void setName_IsNotNull() { regName(CK_ISNN, DOBJ); }","title":""},{"docid":"7b4af6ff3eb829e370363739da5b08df","score":"0.49956623","text":"public ProgrammaticTestRig NOSLL ( )\n {\n this.sll = false;\n return this;\n }","title":""},{"docid":"28ba19b2adfb139b8122b0390694196f","score":"0.49883065","text":"@Test\n void deleteKonto_02() {\n Konto konto = createKontoObject();\n insertKonto(konto);\n\n boolean test = classUnderTest.deleteKonto(konto.getKid() + 1); /*Eine ID die es garantiert nicht gibt*/\n Konto testKonto = getKontoVonDb(konto.getKid());\n\n Assert.assertEquals(false, test);\n checkKonto(konto, testKonto);\n\n }","title":""},{"docid":"2c73b23b158baaef576036fa095e6b7e","score":"0.49693254","text":"private Token negationCheck(Token pToken, Token pPrevToken) {\n if (pPrevToken == null || pPrevToken instanceof BinaryOperator || pPrevToken instanceof LeftParen) {\n pToken = new NegOperator();\n }\n return pToken;\n }","title":""},{"docid":"3c3dd2db108d9c962f462d278a806b93","score":"0.49596196","text":"public boolean isNegatief(){\n return this.totaalEurocenten < 0;\n }","title":""},{"docid":"020e26f50434a672cc7123a6f1748dc5","score":"0.49580473","text":"Boolean oclIsInvalid();","title":""},{"docid":"b707a475da7dfd7f786a076647b0a726","score":"0.4956839","text":"@Override\n\t\tpublic boolean esValido() {\n\t\t\treturn false;\n\t\t}","title":""},{"docid":"b707a475da7dfd7f786a076647b0a726","score":"0.4956839","text":"@Override\n\t\tpublic boolean esValido() {\n\t\t\treturn false;\n\t\t}","title":""},{"docid":"647a054dd94ef4be22c35ec4aad6593a","score":"0.49503976","text":"long getIfMetagenerationNotMatch();","title":""},{"docid":"392ba34fa894292c253be64a7c27f8dd","score":"0.49466082","text":"@Override\n\tpublic Integer eval(Tabela e) {\n\t\treturn null;\n\t}","title":""},{"docid":"e5556dec1a09eae6bfffa05e73c2fe72","score":"0.49460933","text":"@Test(timeout = 4000)\n public void test54() throws Throwable {\n JRip jRip0 = new JRip();\n Attribute attribute0 = new Attribute(\"\", \"\");\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute0);\n assertEquals(Double.NaN, jRip_NumericAntd0.getAttrValue(), 0.01);\n \n jRip_NumericAntd0.value = (-3505.9271);\n String string0 = jRip_NumericAntd0.toString();\n assertEquals(\" >= NaN\", string0);\n }","title":""},{"docid":"d6c325235247de23d970baafad859bad","score":"0.49407318","text":"@Override\r\n\tpublic Integer visit(OpExp e) {\n\t\treturn null;\r\n\t}","title":""},{"docid":"62912605889517e803e7079d006897a7","score":"0.49380872","text":"public void noop()\n {\n }","title":""},{"docid":"1b08ed5642105f519b32df12a838262b","score":"0.49376264","text":"@Test\r\n\tpublic void thatEqualsReturnsFalseForKeyItem1Null() {\r\n\t AppUserAttrPrmsnKey key = new AppUserAttrPrmsnKey();\r\n\t\tAppUserAttrPrmsnKey key2 = new AppUserAttrPrmsnKey();\r\n\t\tkey.setAppPrtflId(APPPRTFLID);\r\n\t\tkey2.setAppPrtflId(null); \r\n\t\tkey.setUserAttrId(USERATTRID);\r\n\t\tkey2.setUserAttrId(USERATTRID);\r\n\t\tassertFalse(key.equals(key2));\r\n\t}","title":""},{"docid":"f682058627db1a6711d8fcd3219557df","score":"0.49357098","text":"XExpression getFalseOperand();","title":""},{"docid":"aabad9e3ed476cecf9f566f238d241b9","score":"0.49304783","text":"public void korma() {\r\n\t}","title":""},{"docid":"9f6aa437b415b967faa876e403ae9f7b","score":"0.49278456","text":"@Override\n\t\t\tpublic boolean esTorre() {\n\t\t\t\treturn false;\n\t\t\t}","title":""},{"docid":"9f6aa437b415b967faa876e403ae9f7b","score":"0.49278456","text":"@Override\n\t\t\tpublic boolean esTorre() {\n\t\t\t\treturn false;\n\t\t\t}","title":""},{"docid":"9f6aa437b415b967faa876e403ae9f7b","score":"0.49278456","text":"@Override\n\t\t\tpublic boolean esTorre() {\n\t\t\t\treturn false;\n\t\t\t}","title":""},{"docid":"9f6aa437b415b967faa876e403ae9f7b","score":"0.49278456","text":"@Override\n\t\t\tpublic boolean esTorre() {\n\t\t\t\treturn false;\n\t\t\t}","title":""},{"docid":"9f6aa437b415b967faa876e403ae9f7b","score":"0.49278456","text":"@Override\n\t\t\tpublic boolean esTorre() {\n\t\t\t\treturn false;\n\t\t\t}","title":""},{"docid":"d2f59c6115582e77f24ea25aa85ccaf2","score":"0.4927066","text":"@Override\r\n\tpublic Integer evaluate() {\n\t\treturn null;\r\n\t}","title":""},{"docid":"d7c7b8c6d660088f409c1b63b2a0accf","score":"0.49231106","text":"public boolean CheckSum() {\n\t\t\treturn false;\r\n\t\t}","title":""},{"docid":"0145e76e43085d95dcc3186f120c3c85","score":"0.49180707","text":"protected boolean hasMissingData( Variable v ) {\r\n return true;\r\n }","title":""},{"docid":"d2c28d5f8aed0ebd9dab012472f8c14c","score":"0.49167582","text":"@Override\n public Object visit(Not not, Object o) {\n not.getExpression().accept(this, o);\n codeGenerator.not();\n return null;\n }","title":""},{"docid":"02589e8c282e3a700a86139a7f80c48b","score":"0.4916647","text":"public NOperation(String t) {\n\t\tsuper(\"operation\");\n\t\tthis.val=t;\n\t\t\n\t}","title":""},{"docid":"d0d78f9862ab82a60d37a99768600245","score":"0.491341","text":"public void testInsertQuestion_NullQuestion() {\n try {\n section.insertQuestion(null, 0);\n fail(\"IllegalArgumentException expected.\");\n } catch (IllegalArgumentException iae) {\n //good\n }\n }","title":""},{"docid":"7e3af8dd3a49ecc94233d966fb7df172","score":"0.49118692","text":"@Test\n\tpublic void testGetNValueNull() {\n\t\tassertEquals(0, Repeat.getNValue(null));\n\t}","title":""},{"docid":"8c1b47f04caa8253e0e978789fb38cf5","score":"0.4909959","text":"public void actualizarCantidadesProducir(NodoArbol<Producto> arbol, BigDecimal proporcionHeredada)\r\n/* 1012: */ {\r\n/* 1013:1275 */ BigDecimal cantidadProducir = ((Producto)arbol.getValor()).getCantidadProducir();\r\n/* 1014:1276 */ BigDecimal cantidadBoom = ((Producto)arbol.getValor()).getCantidadProduccion();\r\n/* 1015:1277 */ BigDecimal proporcionBoom = BigDecimal.ZERO;\r\n/* 1016:1278 */ if (cantidadBoom.compareTo(BigDecimal.ZERO) != 0) {\r\n/* 1017:1279 */ proporcionBoom = cantidadProducir.divide(cantidadBoom, 2, RoundingMode.HALF_UP);\r\n/* 1018: */ }\r\n/* 1019:1281 */ for (NodoArbol<Producto> nodo : arbol.getHijos())\r\n/* 1020: */ {\r\n/* 1021:1282 */ ProductoMaterial productoMaterial = (ProductoMaterial)nodo.getPropiedades().get(\"ProductoMaterial\");\r\n/* 1022: */ \r\n/* 1023:1284 */ BigDecimal proporcionReceta = (proporcionHeredada != null) && (productoMaterial.getIndicadorPrincipal().booleanValue()) ? proporcionHeredada : productoMaterial.getProporcion();\r\n/* 1024:1285 */ boolean sustituto = ((Boolean)nodo.getPropiedades().get(\"Sustituto\")).booleanValue();\r\n/* 1025:1286 */ if (productoMaterial != null)\r\n/* 1026: */ {\r\n/* 1027:1287 */ BigDecimal cantidad = BigDecimal.ZERO;\r\n/* 1028:1288 */ if (!sustituto)\r\n/* 1029: */ {\r\n/* 1030:1289 */ cantidad = productoMaterial.getCantidad();\r\n/* 1031: */ }\r\n/* 1032: */ else\r\n/* 1033: */ {\r\n/* 1034:1291 */ cantidad = productoMaterial.getCantidadSustituto();\r\n/* 1035:1292 */ proporcionReceta = new BigDecimal(100).subtract(proporcionReceta);\r\n/* 1036: */ }\r\n/* 1037:1294 */ BigDecimal cantidadReceta = proporcionReceta.multiply(cantidad).divide(new BigDecimal(100), 2, RoundingMode.HALF_UP);\r\n/* 1038: */ \r\n/* 1039:1296 */ ((Producto)nodo.getValor()).setCantidadProducir(cantidadReceta.multiply(proporcionBoom));\r\n/* 1040:1297 */ ((Producto)nodo.getValor()).setValorReceta(productoMaterial.getCantidad());\r\n/* 1041: */ }\r\n/* 1042:1299 */ actualizarCantidadesProducir(nodo, productoMaterial.getProporcionMaterialPrincipalHijo());\r\n/* 1043: */ }\r\n/* 1044: */ }","title":""},{"docid":"e79df87f581963c71a1a00bece17cb2a","score":"0.4907811","text":"@Test\r\n public void testSetVapaaehtoisetKentat() {\r\n LinkedHashMap<String, String> vapaaehtoisetKentat = new LinkedHashMap<String, String>();\r\n vapaaehtoisetKentat.put(\"nimi\", null);\r\n Viite instance = new Viite(\"article\", \"W06\", new ArrayList<String>(), new LinkedHashMap<String, String>(), vapaaehtoisetKentat);\r\n LinkedHashMap<String, String> uusi = new LinkedHashMap<String, String>();\r\n uusi.put(\"nimuh\", null);\r\n instance.setVapaaehtoisetKentat(uusi);\r\n String expResult = \"nimuh\";\r\n Boolean result = instance.getVapaaehtoisetKentat().containsKey(expResult);\r\n assertEquals(true, result);\r\n }","title":""}],"string":"[\n {\n \"docid\": \"b64e46aee409cbde3ab0418f034e0c29\",\n \"score\": \"0.6046582\",\n \"text\": \"LogicScrabble Negación();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"010b5f18b92b8534f7014502ba87f8c8\",\n \"score\": \"0.5896966\",\n \"text\": \"@Override\\n\\tpublic void nonaktifKeluarga(String nkk) {\\n\\t\\tmapper.nonaktifKeluarga(nkk);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d0c69667ce89b7378f89235434e4286c\",\n \"score\": \"0.5885146\",\n \"text\": \"@Override\\n public void hasil(int kokoh, int kuncipj, int bahaya) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"017c51ec94ffaac2fc444ddeccb31c44\",\n \"score\": \"0.5862962\",\n \"text\": \"@Override\\n public boolean isNoOp() {\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa29da40be3a8b33b07b21fe8e0ba298\",\n \"score\": \"0.57253796\",\n \"text\": \"@Override\\n\\tpublic void notity() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b80762ddc27e69cf3ba279e5fa36704e\",\n \"score\": \"0.57217336\",\n \"text\": \"public T caseNotOperation(NotOperation object) {\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"71ee6126cff25dd4e81da0587741e1a7\",\n \"score\": \"0.5691811\",\n \"text\": \"public boolean isNoOp() {\\n return noOp;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b0d925f493b849ee7837caeab686632\",\n \"score\": \"0.567884\",\n \"text\": \"public Boolean isNotOperation(){\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4ffa2d56d749bb2c6f1c1653f22cf764\",\n \"score\": \"0.5622246\",\n \"text\": \"public boolean isNa();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8cd99458eafac67ce24a914adf99bc49\",\n \"score\": \"0.5585812\",\n \"text\": \"@Override\\r\\n\\tpublic Boolean ErrOperate(int dataId) {\\n\\t\\treturn null;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8cd99458eafac67ce24a914adf99bc49\",\n \"score\": \"0.5585812\",\n \"text\": \"@Override\\r\\n\\tpublic Boolean ErrOperate(int dataId) {\\n\\t\\treturn null;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"14cb9a1f808a8335c2da2eb74993c73e\",\n \"score\": \"0.5567145\",\n \"text\": \"@Override\\n public void hasil(int Kebisingan, int Bau, int Kebocoran, int Kerusakan, int Keausan) {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9c6618f4bbbd4e7f825ccbf9982ff2e8\",\n \"score\": \"0.55439556\",\n \"text\": \"boolean cancelledByOperator();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"503a820c32efad24e10c421e9f0138fa\",\n \"score\": \"0.5521499\",\n \"text\": \"abstract void addKnot(DL_KnotData data);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a68cb3241304343506cfcfdb7de6895\",\n \"score\": \"0.5442269\",\n \"text\": \"boolean hasNa();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1b75110746401ea172e14ce772d91603\",\n \"score\": \"0.54113895\",\n \"text\": \"@Override\\n public Object visit(ASTNot astNot, Object data) throws VisitorException {\\n //Preconditions\\n assert astNot != null : \\\"astNot must not be null\\\";\\n assert astNot.jjtGetNumChildren() == 1 : \\\"astNot must have one child\\\";\\n\\n final AbstractOperator operator = (AbstractOperator) astNot.jjtGetChild(0).jjtAccept(this, null);\\n return new NotOperator(operator);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fea350c45c3e42f68d43efd6e4f7244d\",\n \"score\": \"0.539411\",\n \"text\": \"private EventLogicalNOT() {\\n //\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"95a3f6e0891bd0ad73cce5dc2424f0a4\",\n \"score\": \"0.5388661\",\n \"text\": \"public void test01() {\\n\\t\\t\\tassertFalse(\\\"null data\\\", self.wellFormed());\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e3aa7bd01486a930231590c6c209d74d\",\n \"score\": \"0.5385827\",\n \"text\": \"private void validateNF() throws NotValidNFException {\\n\\t\\ttry {\\n\\t\\t\\t_impostos = DbConnectTax.getInstance().calculateTax(_itensLista);\\n\\t\\t\\t//System.out.println(\\\"Impostos Total:\\\"+_impostos);\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tthrow new NotValidNFException();\\t\\t\\t\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a6366a76ed95a6be6c2f612e19b04955\",\n \"score\": \"0.53769785\",\n \"text\": \"public void testCalculationOfNonExistingNode() throws Exception {\\n Text text41 = (Text) this.chibaBean.getContainer().lookup(\\\"i-41\\\");\\n\\n assertValue(\\\"\\\", text41);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12291d3255a3eda344b67e6146af6be7\",\n \"score\": \"0.5373686\",\n \"text\": \"public Value uopLogicalNot()\\n throws PackagedScriptObjectException\\n {\\n return get().uopLogicalNot();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"920820ad504ae1193bb1943592d19aac\",\n \"score\": \"0.53379816\",\n \"text\": \"public void setNotes_IsNotNull() { regNotes(CK_ISNN, DOBJ); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"46b200155bff653261615d1353b04ab3\",\n \"score\": \"0.53215456\",\n \"text\": \"NotOpCallExp createNotOpCallExp();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9a95dd2ee4d92b0b82276412047189d\",\n \"score\": \"0.5320447\",\n \"text\": \"public boolean isOp();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7af3e91e59d4de75af1d9c1567320e61\",\n \"score\": \"0.5311582\",\n \"text\": \"@Override\\r\\n\\tpublic void applicaOperazione(OrdinazioneNonInCorso onic) {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ceb68a4dfa9e7dbd7f5d84d2b0cd0360\",\n \"score\": \"0.5305665\",\n \"text\": \"public void validateNoMissingProp(int oper) throws IOException\\r\\n\\t{\\r\\n\\t\\terrMsg.setLength(0);\\r\\n\\t\\tboolean validationFailed = false;\\r\\n\\t\\tswitch(oper)\\r\\n\\t\\t{\\r\\n\\t\\t\\tcase 1:\\r\\n\\t\\t\\t\\tvalidationFailed = UtilFunction.validateChild(props,errMsg);\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\tcase 2:\\r\\n\\t\\t\\t\\tvalidationFailed = UtilFunction.validateParent(props,errMsg);\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\tcase 3:\\r\\n\\t\\t\\t\\tvalidationFailed = UtilFunction.validateCountElement(props,errMsg);\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t\\tcase 4:\\r\\n\\t\\t\\t\\tvalidationFailed = UtilFunction.validateURL(props,errMsg);\\r\\n\\t\\t\\t\\tbreak;\\r\\n\\t\\t}\\t\\r\\n\\t\\tassertFalse(\\\"There should be no error msg=\\\"+errMsg.toString()+\\\". Validation flag =\\\"+validationFailed, validationFailed);\\r\\n\\t\\tassertTrue(errMsg.toString().length()==0);\\r\\n\\t\\terrMsg.setLength(0);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"50407e443ecbb654f2b1eb471941e528\",\n \"score\": \"0.5292579\",\n \"text\": \"@Test(timeout = 4000)\\n public void test15() throws Throwable {\\n System.setCurrentTimeMillis((-1285L));\\n StringReader stringReader0 = new StringReader(\\\"not\\\");\\n StreamTokenizer streamTokenizer0 = new StreamTokenizer(stringReader0);\\n JSTerm jSTerm0 = new JSTerm(streamTokenizer0);\\n jSTerm0.add((Object) null);\\n // Undeclared exception!\\n try { \\n jSTerm0.standarizerPredicateForm();\\n fail(\\\"Expecting exception: NullPointerException\\\");\\n \\n } catch(NullPointerException e) {\\n //\\n // no message in exception (getMessage() returned null)\\n //\\n verifyException(\\\"umd.cs.shop.JSPredicateForm\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"64db6460d14fb4cbb829a704c7c4dd7f\",\n \"score\": \"0.52833927\",\n \"text\": \"@Override\\r\\n public boolean isOperation() {\\r\\n return false;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"420c3a924ce4a15bc7a7ef34661bc244\",\n \"score\": \"0.52720416\",\n \"text\": \"public void calcularCantidad()\\r\\n/* 1029: */ {\\r\\n/* 1030: 973 */ if ((this.lecturaBalanza != null) && (this.lecturaBalanza.getUnidadManejo() != null)) {\\r\\n/* 1031: 974 */ this.servicioMarcacionDispositivo.calcularCantidad(this.lecturaBalanza);\\r\\n/* 1032: */ }\\r\\n/* 1033: */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7794c01af90ea1e7cd485c53bbcab686\",\n \"score\": \"0.5265801\",\n \"text\": \"@Test\\r\\n\\tpublic void dieForZeroSatisfaction() throws Exception \\r\\n\\t{\\r\\n\\t\\tfinal Tamagotchi tama = new Tamagotchi(\\\"Kira\\\", 0, 50);\\r\\n\\t\\tassertFalse(tama.isVivo());\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"77fc8a770bce71cd30db373529e29c07\",\n \"score\": \"0.52585536\",\n \"text\": \"boolean hasNaem();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4976adf10ecc19192e8c9b8e9cba51ad\",\n \"score\": \"0.5235337\",\n \"text\": \"public Boolean isImpliesOperation(){\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9fc8601b1a9dbf61d379b2d8d968ca45\",\n \"score\": \"0.5200551\",\n \"text\": \"public Boolean isKindOfOperation(){\\r\\n\\t\\treturn false;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"54eb4170a518750dc25f2b9dc25a3b98\",\n \"score\": \"0.51951736\",\n \"text\": \"@Override protected Object eval() {\\n\\t\\t\\t\\tFunction not = null;\\n\\t\\t\\t\\treturn not.apply(lookup(node.exp0));\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9b35cadeb65e5a45a36a526c5bc6ac0e\",\n \"score\": \"0.51726204\",\n \"text\": \"public void testCheckWeights_NaNTolerance() {\\n try {\\n section.checkWeights(Float.NaN);\\n fail(\\\"IllegalArgumentException expected.\\\");\\n } catch (IllegalArgumentException iae) {\\n //good\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b3b1b53dc2b25a77518efc6e2857bc81\",\n \"score\": \"0.5168812\",\n \"text\": \"void visitIsNan(long resultType, long result, long x);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"294608e413de02bd5ef0d1f53954a16a\",\n \"score\": \"0.51632833\",\n \"text\": \"public T caseNoOp(NoOp object)\\n {\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"51cb0961d5b44a1816b110806ff6add2\",\n \"score\": \"0.5161493\",\n \"text\": \"public void visit(OmpDfltNoneClause n);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bb8a9e88e4f14f4ef761f32e88e1cded\",\n \"score\": \"0.515665\",\n \"text\": \"@Test\\n public void testOper() {\\n System.out.println(\\\"oper\\\");\\n Character value = null;\\n boolean expResult = false;\\n boolean result = Funciones.oper(value);\\n assertEquals(expResult, result);\\n // TODO review the generated test code and remove the default call to fail.\\n fail(\\\"The test case is a prototype.\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5000c596b2d30f960513daeb0117008a\",\n \"score\": \"0.51451844\",\n \"text\": \"void visitNot(long resultType, long result, long operand);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"96464c4d84dc16c9ee17c01880c45e9b\",\n \"score\": \"0.5136531\",\n \"text\": \"public void setOp(boolean arg0) {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3afdfbdfc51ff509a7396af516be3160\",\n \"score\": \"0.51316226\",\n \"text\": \"@Override\\n\\tprotected void paketNieJeMoj(Paket paket) {\\n\\t\\tSystem.out.println(\\\"Ja \\\" + this + \\\" ignorujem \\\" + paket);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bf09703c092038087f9f66ddc9f95b8e\",\n \"score\": \"0.5126319\",\n \"text\": \"@Test\\n\\tpublic void NieksztaltekReturnsValueWithoutChanges() {\\n\\t\\tassertThat(test.Nieksztaltek(924), is(924));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ec71a8cf0b5e0aa7bb8f86f528e95702\",\n \"score\": \"0.51219505\",\n \"text\": \"@Test\\r\\n\\tpublic void testTermAtNullResult() throws Exception{\\r\\n\\t\\t\\r\\n\\t\\tTestPolynomial pol = new TestPolynomial();\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t\\tassertNull(pol.termAt(1));\\r\\n\\t\\t\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c44d1201cda6e64743588f15227764e\",\n \"score\": \"0.51164985\",\n \"text\": \"@Override\\n\\tpublic Object visitOperator(Operator op, Integer arg) {\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f8cdb6a376c1770737c60e93f08f6fea\",\n \"score\": \"0.5111469\",\n \"text\": \"public void testNegate(){\\r\\n\\t\\t \\r\\n\\t\\t Quantity newQ = dCon.negate();\\r\\n\\t\\t \\r\\n\\t\\t double result=(-3.14159);\\t\\t \\r\\n\\t\\t Quantity resultQ = new Quantity(result,null,null);\\r\\n\\t\\t \\r\\n\\t\\t assertEquals(true, newQ.equals(resultQ));\\r\\n\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39995ddbfe56b13c79d380dc69bdc350\",\n \"score\": \"0.510597\",\n \"text\": \"public void setNotes_IsNull() { regNotes(CK_ISN, DOBJ); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"26cc8e54f333033acbc08eed19d56ade\",\n \"score\": \"0.50832224\",\n \"text\": \"@Test\\n public void errorKeyNoThrowable()\\n {\\n var key1 = ErrorCounter.getErrorKey(\\\"Test1\\\", null);\\n var key2 = ErrorCounter.getErrorKey(\\\"Test2\\\", null);\\n assertNotEquals(key1, key2);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"14f24979d8cc3698c7a9586660a57d18\",\n \"score\": \"0.507951\",\n \"text\": \"protected abstract boolean isNothing();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"748c65871d2c49d20f5a694a7be18fac\",\n \"score\": \"0.5075164\",\n \"text\": \"@Override\\n protected boolean isBinaryOp()\\n {\\n return true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"435e7513e5c01bb429d75896fe6fbf3f\",\n \"score\": \"0.5074453\",\n \"text\": \"public boolean isNotPresent();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78988003d48466d62b94973eb79a4945\",\n \"score\": \"0.5065114\",\n \"text\": \"@Test\\r\\n public void whenNoOperationThenResultIsZero() {\\r\\n Assert.assertThat(calculator.getResult(), is(0.0));\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"00c0d5b147ff283f2efda62cd9319cf2\",\n \"score\": \"0.50591743\",\n \"text\": \"@Test\\r\\n public void testDiscretizeNoClassIndex()\\r\\n {\\r\\n // did not set class index\\r\\n try\\r\\n {\\r\\n assertEquals(\\\"Should return null when class index is not set\\\", null, numericalClass.discretize(null));\\r\\n } catch (Exception e)\\r\\n {\\r\\n fail(\\\"Should not reach exception\\\");\\r\\n }\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"53834ae297f15bf4fad83ae7ef86e383\",\n \"score\": \"0.5052525\",\n \"text\": \"@Test(timeout = 4000)\\n public void test30() throws Throwable {\\n JSTerm jSTerm0 = new JSTerm();\\n jSTerm0.add((Object) \\\"not\\\");\\n // Undeclared exception!\\n try { \\n jSTerm0.standarizerPredicateForm();\\n fail(\\\"Expecting exception: ArrayIndexOutOfBoundsException\\\");\\n \\n } catch(ArrayIndexOutOfBoundsException e) {\\n //\\n // 1 >= 1\\n //\\n verifyException(\\\"java.util.Vector\\\", e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"32aae7ddc5e595996fc6989d1d8eaf0a\",\n \"score\": \"0.5047246\",\n \"text\": \"@Test\\r\\n public void testGetVapaaehtoisetKentat() {\\r\\n LinkedHashMap<String, String> vapaaehtoisetKentat = new LinkedHashMap<String, String>();\\r\\n vapaaehtoisetKentat.put(\\\"nimi\\\", null);\\r\\n Viite instance = new Viite(\\\"article\\\", \\\"W06\\\", new ArrayList<String>(), new LinkedHashMap<String, String>(), vapaaehtoisetKentat);\\r\\n String expResult = \\\"nimi\\\";\\r\\n Boolean result = instance.getVapaaehtoisetKentat().containsKey(expResult);\\r\\n assertEquals(true, result);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4f8e76355218a0a20d06fc0d0564a40a\",\n \"score\": \"0.5046288\",\n \"text\": \"boolean callOnNull();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a2f4f154bd3549e32a9cf721cbb48e26\",\n \"score\": \"0.50399256\",\n \"text\": \"protected abstract void izvrsiKonkretnuOperaciju(Object obj) throws Exception;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"232ba777558684bb9c2cf101ea44099e\",\n \"score\": \"0.5031143\",\n \"text\": \"@Test\\n public void getGrupoDeInteresNoExistenteTest() {\\n GrupoDeInteresEntity resultEntity = grupoDeInteresLogic.getGrupoDeInteres(-1L);\\n Assert.assertNull(resultEntity);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"83f2e2fb7df3813b19fab8b9cccb5e1a\",\n \"score\": \"0.5029928\",\n \"text\": \"@Override\\n\\tpublic int cekNkk(String nkk) {\\n\\t\\treturn mapper.cekNKK(nkk);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9827df70e080e13f1404bccb8f9430e3\",\n \"score\": \"0.5025805\",\n \"text\": \"@Test\\r\\n public void testGetPakollisetKentat() {\\r\\n LinkedHashMap<String, String> pakollisetKentat = new LinkedHashMap<String, String>();\\r\\n pakollisetKentat.put(\\\"nimi\\\", null);\\r\\n Viite instance = new Viite(\\\"article\\\", \\\"W06\\\", new ArrayList<String>(), pakollisetKentat, new LinkedHashMap<String, String>());\\r\\n String expResult = \\\"nimi\\\";\\r\\n Boolean result = instance.getPakollisetKentat().containsKey(expResult);\\r\\n assertEquals(true, result);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"67e1ef08f2b1cbf2386d7ec356668fda\",\n \"score\": \"0.50249153\",\n \"text\": \"@Test\\n public void test31() throws Throwable {\\n CostMatrix costMatrix0 = Evaluation.handleCostOption((String) null, 10818);\\n assertNull(costMatrix0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c74ade378f44ed00414894798ffeac9c\",\n \"score\": \"0.50229\",\n \"text\": \"@Test()\\n\\tvoid whenInValidOperationReturnsFalse() {\\n\\t\\tOperator operator1 = Operator.builder().value(12d).build();\\n\\t\\tOperator operator2 = Operator.builder().value(22d).build();\\n\\t\\tOperator operator = Operator.builder().operator1(operator1).operator2(operator2).build();\\n\\t\\tassertEquals(false, calculatorService.isValidOperator(operator));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5c56dc3224ffa37eb87499e6be2c36b2\",\n \"score\": \"0.50194705\",\n \"text\": \"void visitLogicalNot(long resultType, long result, long operand);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e2ec85f0575262ded9b2dfcc37ebb3a4\",\n \"score\": \"0.5017409\",\n \"text\": \"public void testKontoLoeschenNichtVorhanden() {\\n boolean ok = b1.kontoLoeschen(4);\\n assertFalse(ok);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5d7db9a6bb1c8b16ea0479e7634b81c3\",\n \"score\": \"0.50146073\",\n \"text\": \"public boolean obtenirMiss() {\\n\\t\\treturn matriusCarregades[matriuActual].obtenirMiss();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2e66f00309786d6289593d3e62c923e1\",\n \"score\": \"0.50142205\",\n \"text\": \"private void checkEsisteCronoprogrammaConStessoCodiceEStatoOperativo() {\\n\\t\\tList<Integer> uid = cronoprogrammaDad.findUidCronoprogrammaConStessoCodiceNonAnnullatoAndUidProgettoAndBilancio(cronoprogramma);\\n\\t\\tif(uid!=null && !uid.isEmpty()){\\n\\t\\t\\tthrow new BusinessException(ErroreCore.ENTITA_PRESENTE.getErrore(\\\"cronoprogramma\\\",cronoprogramma.getCodice()+\\\"/\\\"+cronoprogramma.getStatoOperativoCronoprogramma()), Esito.FALLIMENTO);\\n\\t\\t}\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f2be81b9f1d8f13d1d011d77f397e6f8\",\n \"score\": \"0.5007055\",\n \"text\": \"@Override\\r\\n\\t\\tpublic boolean action(Node n)\\r\\n\\t\\t{\\n\\t\\t\\treturn false;\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"73f1fe026b521f5bc9452c45db318f75\",\n \"score\": \"0.5005581\",\n \"text\": \"@Override\\n\\tpublic int answerDelte() {\\n\\t\\treturn 0;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a5fe84cc1b708d13f30a63909a316102\",\n \"score\": \"0.5004143\",\n \"text\": \"@Override\\r\\n public boolean isOperation() {\\r\\n return true;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"38af9b46341df8c257dabbcfa315915a\",\n \"score\": \"0.5002997\",\n \"text\": \"@Test\\n\\tpublic void checkVIF_VIFChecked_CheckFalse(){\\n\\t\\t\\n\\t\\tHashSet<String> set1;\\n\\t\\t\\n\\t\\tset1 = new HashSet<String>();\\n\\t\\tfor(int i=1;i<=3;i++){\\n\\t\\t\\tset1.add(\\\"pred\\\" + i);\\n\\t\\t}\\n\\t\\ttry {\\n\\t\\t\\tlnm1.fitModel(set1);\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\t\\n\\t\\ttry {\\n\\t\\t\\tassertFalse(lnm1.checkVIF(5,null));\\n\\t\\t\\tassertFalse(lnm1.checkVIF(126,null));\\n\\t\\t\\tassertTrue(lnm1.checkVIF(127,null));\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5d4340dfd143bd91747658a4799d075a\",\n \"score\": \"0.50026876\",\n \"text\": \"void visitFUnordNotEqual(long resultType, long result, long operand1, long operand2);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78fc6bd77250ed86c12811859cf2b198\",\n \"score\": \"0.4997876\",\n \"text\": \"public void setName_IsNotNull() { regName(CK_ISNN, DOBJ); }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b4af6ff3eb829e370363739da5b08df\",\n \"score\": \"0.49956623\",\n \"text\": \"public ProgrammaticTestRig NOSLL ( )\\n {\\n this.sll = false;\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"28ba19b2adfb139b8122b0390694196f\",\n \"score\": \"0.49883065\",\n \"text\": \"@Test\\n void deleteKonto_02() {\\n Konto konto = createKontoObject();\\n insertKonto(konto);\\n\\n boolean test = classUnderTest.deleteKonto(konto.getKid() + 1); /*Eine ID die es garantiert nicht gibt*/\\n Konto testKonto = getKontoVonDb(konto.getKid());\\n\\n Assert.assertEquals(false, test);\\n checkKonto(konto, testKonto);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2c73b23b158baaef576036fa095e6b7e\",\n \"score\": \"0.49693254\",\n \"text\": \"private Token negationCheck(Token pToken, Token pPrevToken) {\\n if (pPrevToken == null || pPrevToken instanceof BinaryOperator || pPrevToken instanceof LeftParen) {\\n pToken = new NegOperator();\\n }\\n return pToken;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3c3dd2db108d9c962f462d278a806b93\",\n \"score\": \"0.49596196\",\n \"text\": \"public boolean isNegatief(){\\n return this.totaalEurocenten < 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"020e26f50434a672cc7123a6f1748dc5\",\n \"score\": \"0.49580473\",\n \"text\": \"Boolean oclIsInvalid();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b707a475da7dfd7f786a076647b0a726\",\n \"score\": \"0.4956839\",\n \"text\": \"@Override\\n\\t\\tpublic boolean esValido() {\\n\\t\\t\\treturn false;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b707a475da7dfd7f786a076647b0a726\",\n \"score\": \"0.4956839\",\n \"text\": \"@Override\\n\\t\\tpublic boolean esValido() {\\n\\t\\t\\treturn false;\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"647a054dd94ef4be22c35ec4aad6593a\",\n \"score\": \"0.49503976\",\n \"text\": \"long getIfMetagenerationNotMatch();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"392ba34fa894292c253be64a7c27f8dd\",\n \"score\": \"0.49466082\",\n \"text\": \"@Override\\n\\tpublic Integer eval(Tabela e) {\\n\\t\\treturn null;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e5556dec1a09eae6bfffa05e73c2fe72\",\n \"score\": \"0.49460933\",\n \"text\": \"@Test(timeout = 4000)\\n public void test54() throws Throwable {\\n JRip jRip0 = new JRip();\\n Attribute attribute0 = new Attribute(\\\"\\\", \\\"\\\");\\n JRip.NumericAntd jRip_NumericAntd0 = jRip0.new NumericAntd(attribute0);\\n assertEquals(Double.NaN, jRip_NumericAntd0.getAttrValue(), 0.01);\\n \\n jRip_NumericAntd0.value = (-3505.9271);\\n String string0 = jRip_NumericAntd0.toString();\\n assertEquals(\\\" >= NaN\\\", string0);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d6c325235247de23d970baafad859bad\",\n \"score\": \"0.49407318\",\n \"text\": \"@Override\\r\\n\\tpublic Integer visit(OpExp e) {\\n\\t\\treturn null;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"62912605889517e803e7079d006897a7\",\n \"score\": \"0.49380872\",\n \"text\": \"public void noop()\\n {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1b08ed5642105f519b32df12a838262b\",\n \"score\": \"0.49376264\",\n \"text\": \"@Test\\r\\n\\tpublic void thatEqualsReturnsFalseForKeyItem1Null() {\\r\\n\\t AppUserAttrPrmsnKey key = new AppUserAttrPrmsnKey();\\r\\n\\t\\tAppUserAttrPrmsnKey key2 = new AppUserAttrPrmsnKey();\\r\\n\\t\\tkey.setAppPrtflId(APPPRTFLID);\\r\\n\\t\\tkey2.setAppPrtflId(null); \\r\\n\\t\\tkey.setUserAttrId(USERATTRID);\\r\\n\\t\\tkey2.setUserAttrId(USERATTRID);\\r\\n\\t\\tassertFalse(key.equals(key2));\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f682058627db1a6711d8fcd3219557df\",\n \"score\": \"0.49357098\",\n \"text\": \"XExpression getFalseOperand();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aabad9e3ed476cecf9f566f238d241b9\",\n \"score\": \"0.49304783\",\n \"text\": \"public void korma() {\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f6aa437b415b967faa876e403ae9f7b\",\n \"score\": \"0.49278456\",\n \"text\": \"@Override\\n\\t\\t\\tpublic boolean esTorre() {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f6aa437b415b967faa876e403ae9f7b\",\n \"score\": \"0.49278456\",\n \"text\": \"@Override\\n\\t\\t\\tpublic boolean esTorre() {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f6aa437b415b967faa876e403ae9f7b\",\n \"score\": \"0.49278456\",\n \"text\": \"@Override\\n\\t\\t\\tpublic boolean esTorre() {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f6aa437b415b967faa876e403ae9f7b\",\n \"score\": \"0.49278456\",\n \"text\": \"@Override\\n\\t\\t\\tpublic boolean esTorre() {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9f6aa437b415b967faa876e403ae9f7b\",\n \"score\": \"0.49278456\",\n \"text\": \"@Override\\n\\t\\t\\tpublic boolean esTorre() {\\n\\t\\t\\t\\treturn false;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d2f59c6115582e77f24ea25aa85ccaf2\",\n \"score\": \"0.4927066\",\n \"text\": \"@Override\\r\\n\\tpublic Integer evaluate() {\\n\\t\\treturn null;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d7c7b8c6d660088f409c1b63b2a0accf\",\n \"score\": \"0.49231106\",\n \"text\": \"public boolean CheckSum() {\\n\\t\\t\\treturn false;\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0145e76e43085d95dcc3186f120c3c85\",\n \"score\": \"0.49180707\",\n \"text\": \"protected boolean hasMissingData( Variable v ) {\\r\\n return true;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d2c28d5f8aed0ebd9dab012472f8c14c\",\n \"score\": \"0.49167582\",\n \"text\": \"@Override\\n public Object visit(Not not, Object o) {\\n not.getExpression().accept(this, o);\\n codeGenerator.not();\\n return null;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"02589e8c282e3a700a86139a7f80c48b\",\n \"score\": \"0.4916647\",\n \"text\": \"public NOperation(String t) {\\n\\t\\tsuper(\\\"operation\\\");\\n\\t\\tthis.val=t;\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d0d78f9862ab82a60d37a99768600245\",\n \"score\": \"0.491341\",\n \"text\": \"public void testInsertQuestion_NullQuestion() {\\n try {\\n section.insertQuestion(null, 0);\\n fail(\\\"IllegalArgumentException expected.\\\");\\n } catch (IllegalArgumentException iae) {\\n //good\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7e3af8dd3a49ecc94233d966fb7df172\",\n \"score\": \"0.49118692\",\n \"text\": \"@Test\\n\\tpublic void testGetNValueNull() {\\n\\t\\tassertEquals(0, Repeat.getNValue(null));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8c1b47f04caa8253e0e978789fb38cf5\",\n \"score\": \"0.4909959\",\n \"text\": \"public void actualizarCantidadesProducir(NodoArbol<Producto> arbol, BigDecimal proporcionHeredada)\\r\\n/* 1012: */ {\\r\\n/* 1013:1275 */ BigDecimal cantidadProducir = ((Producto)arbol.getValor()).getCantidadProducir();\\r\\n/* 1014:1276 */ BigDecimal cantidadBoom = ((Producto)arbol.getValor()).getCantidadProduccion();\\r\\n/* 1015:1277 */ BigDecimal proporcionBoom = BigDecimal.ZERO;\\r\\n/* 1016:1278 */ if (cantidadBoom.compareTo(BigDecimal.ZERO) != 0) {\\r\\n/* 1017:1279 */ proporcionBoom = cantidadProducir.divide(cantidadBoom, 2, RoundingMode.HALF_UP);\\r\\n/* 1018: */ }\\r\\n/* 1019:1281 */ for (NodoArbol<Producto> nodo : arbol.getHijos())\\r\\n/* 1020: */ {\\r\\n/* 1021:1282 */ ProductoMaterial productoMaterial = (ProductoMaterial)nodo.getPropiedades().get(\\\"ProductoMaterial\\\");\\r\\n/* 1022: */ \\r\\n/* 1023:1284 */ BigDecimal proporcionReceta = (proporcionHeredada != null) && (productoMaterial.getIndicadorPrincipal().booleanValue()) ? proporcionHeredada : productoMaterial.getProporcion();\\r\\n/* 1024:1285 */ boolean sustituto = ((Boolean)nodo.getPropiedades().get(\\\"Sustituto\\\")).booleanValue();\\r\\n/* 1025:1286 */ if (productoMaterial != null)\\r\\n/* 1026: */ {\\r\\n/* 1027:1287 */ BigDecimal cantidad = BigDecimal.ZERO;\\r\\n/* 1028:1288 */ if (!sustituto)\\r\\n/* 1029: */ {\\r\\n/* 1030:1289 */ cantidad = productoMaterial.getCantidad();\\r\\n/* 1031: */ }\\r\\n/* 1032: */ else\\r\\n/* 1033: */ {\\r\\n/* 1034:1291 */ cantidad = productoMaterial.getCantidadSustituto();\\r\\n/* 1035:1292 */ proporcionReceta = new BigDecimal(100).subtract(proporcionReceta);\\r\\n/* 1036: */ }\\r\\n/* 1037:1294 */ BigDecimal cantidadReceta = proporcionReceta.multiply(cantidad).divide(new BigDecimal(100), 2, RoundingMode.HALF_UP);\\r\\n/* 1038: */ \\r\\n/* 1039:1296 */ ((Producto)nodo.getValor()).setCantidadProducir(cantidadReceta.multiply(proporcionBoom));\\r\\n/* 1040:1297 */ ((Producto)nodo.getValor()).setValorReceta(productoMaterial.getCantidad());\\r\\n/* 1041: */ }\\r\\n/* 1042:1299 */ actualizarCantidadesProducir(nodo, productoMaterial.getProporcionMaterialPrincipalHijo());\\r\\n/* 1043: */ }\\r\\n/* 1044: */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e79df87f581963c71a1a00bece17cb2a\",\n \"score\": \"0.4907811\",\n \"text\": \"@Test\\r\\n public void testSetVapaaehtoisetKentat() {\\r\\n LinkedHashMap<String, String> vapaaehtoisetKentat = new LinkedHashMap<String, String>();\\r\\n vapaaehtoisetKentat.put(\\\"nimi\\\", null);\\r\\n Viite instance = new Viite(\\\"article\\\", \\\"W06\\\", new ArrayList<String>(), new LinkedHashMap<String, String>(), vapaaehtoisetKentat);\\r\\n LinkedHashMap<String, String> uusi = new LinkedHashMap<String, String>();\\r\\n uusi.put(\\\"nimuh\\\", null);\\r\\n instance.setVapaaehtoisetKentat(uusi);\\r\\n String expResult = \\\"nimuh\\\";\\r\\n Boolean result = instance.getVapaaehtoisetKentat().containsKey(expResult);\\r\\n assertEquals(true, result);\\r\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":989695,"cells":{"query_id":{"kind":"string","value":"25197b4cf814864ecd440f23b9149cb3"},"query":{"kind":"string","value":"TODO Autogenerated method stub"},"positive_passages":{"kind":"list like","value":[{"docid":"2da8d3903f9ff4dfa52bb509b8499233","score":"0.0","text":"protected void moveTo_showDialog(final Long id) {\n\t\tLayoutInflater layoutInflater = LayoutInflater.from(context2);\n\t\tView view = layoutInflater.inflate(R.layout.movetodialog,\n\t\t\t\t(ViewGroup) context2.findViewById(R.id.moveto_dialog));\n\t\tfinal Spinner spinner_c = (Spinner) view\n\t\t\t\t.findViewById(R.id.moveToCatagory);\n\t\tCursor cursor = MainActivity.mDbHelper.getAllCatagory();\n\t\tArrayList<String> allCatagory = new ArrayList<String>();\n\t\twhile (cursor.moveToNext())\n\t\t{\n\t\t\tallCatagory.add(cursor.getString(cursor\n\t\t\t\t\t.getColumnIndexOrThrow(NoteDbAdapter.KEY_NAME)));\n\t\t}\n\t\tcursor.close();\n\t\tArrayAdapter<String> allCatagory_adapter = new ArrayAdapter<String>(\n\t\t\t\tcontext2, android.R.layout.simple_spinner_item, allCatagory);\n\t\tallCatagory_adapter\n\t\t\t\t.setDropDownViewResource(android.R.layout.simple_spinner_dropdown_item);\n\t\tspinner_c.setAdapter(allCatagory_adapter);\n\n\t\tnew AlertDialog.Builder(context2).setTitle(context2.getResources().getString(R.string.choose)).setView(view)\n\t\t\t\t.setPositiveButton(context2.getResources().getString(R.string.confirm), new AlertDialog.OnClickListener() {\n\t\t\t\t\t@Override\n\t\t\t\t\tpublic void onClick(DialogInterface arg0, int arg1) {\n\t\t\t\t\t\t// TODO Auto-generated method stub\n\t\t\t\t\t\tfinal String catagoryNameString = spinner_c\n\t\t\t\t\t\t\t\t.getSelectedItem().toString();\n\t\t\t\t\t\tMainActivity.mDbHelper.updata_catagory_single_notes(id,\n\t\t\t\t\t\t\t\tcatagoryNameString);\n\t\t\t\t\t\tnotifyDataSetChanged();\n\t\t\t\t\t\tToast.makeText(context2, context2.getResources().getString(R.string.move_succeed),\n\t\t\t\t\t\t\t\tToast.LENGTH_SHORT).show();\n\t\t\t\t\t}\n\t\t\t\t}).setNegativeButton(context2.getResources().getString(R.string.cancel), null).create().show();\n\t}","title":""}],"string":"[\n {\n \"docid\": \"2da8d3903f9ff4dfa52bb509b8499233\",\n \"score\": \"0.0\",\n \"text\": \"protected void moveTo_showDialog(final Long id) {\\n\\t\\tLayoutInflater layoutInflater = LayoutInflater.from(context2);\\n\\t\\tView view = layoutInflater.inflate(R.layout.movetodialog,\\n\\t\\t\\t\\t(ViewGroup) context2.findViewById(R.id.moveto_dialog));\\n\\t\\tfinal Spinner spinner_c = (Spinner) view\\n\\t\\t\\t\\t.findViewById(R.id.moveToCatagory);\\n\\t\\tCursor cursor = MainActivity.mDbHelper.getAllCatagory();\\n\\t\\tArrayList<String> allCatagory = new ArrayList<String>();\\n\\t\\twhile (cursor.moveToNext())\\n\\t\\t{\\n\\t\\t\\tallCatagory.add(cursor.getString(cursor\\n\\t\\t\\t\\t\\t.getColumnIndexOrThrow(NoteDbAdapter.KEY_NAME)));\\n\\t\\t}\\n\\t\\tcursor.close();\\n\\t\\tArrayAdapter<String> allCatagory_adapter = new ArrayAdapter<String>(\\n\\t\\t\\t\\tcontext2, android.R.layout.simple_spinner_item, allCatagory);\\n\\t\\tallCatagory_adapter\\n\\t\\t\\t\\t.setDropDownViewResource(android.R.layout.simple_spinner_dropdown_item);\\n\\t\\tspinner_c.setAdapter(allCatagory_adapter);\\n\\n\\t\\tnew AlertDialog.Builder(context2).setTitle(context2.getResources().getString(R.string.choose)).setView(view)\\n\\t\\t\\t\\t.setPositiveButton(context2.getResources().getString(R.string.confirm), new AlertDialog.OnClickListener() {\\n\\t\\t\\t\\t\\t@Override\\n\\t\\t\\t\\t\\tpublic void onClick(DialogInterface arg0, int arg1) {\\n\\t\\t\\t\\t\\t\\t// TODO Auto-generated method stub\\n\\t\\t\\t\\t\\t\\tfinal String catagoryNameString = spinner_c\\n\\t\\t\\t\\t\\t\\t\\t\\t.getSelectedItem().toString();\\n\\t\\t\\t\\t\\t\\tMainActivity.mDbHelper.updata_catagory_single_notes(id,\\n\\t\\t\\t\\t\\t\\t\\t\\tcatagoryNameString);\\n\\t\\t\\t\\t\\t\\tnotifyDataSetChanged();\\n\\t\\t\\t\\t\\t\\tToast.makeText(context2, context2.getResources().getString(R.string.move_succeed),\\n\\t\\t\\t\\t\\t\\t\\t\\tToast.LENGTH_SHORT).show();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}).setNegativeButton(context2.getResources().getString(R.string.cancel), null).create().show();\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"ffe5fe3cec40acf4b0b07ea257dfa06a","score":"0.6831473","text":"private void apparence()\r\n\t\t{\r\n\r\n\t\t}","title":""},{"docid":"838a915c9ea69d56cc37df198cff9cb2","score":"0.67589027","text":"@Override\n\t\t\t\tpublic void pintar() {\n\t\t\t\t\t\n\t\t\t\t}","title":""},{"docid":"479340d7603590876396cc58262a3776","score":"0.6593355","text":"@Override\r\n\tpublic int attaquer() {\r\n\t\t// TODO Auto-generated method stub\r\n\t\treturn 0;\r\n\t}","title":""},{"docid":"ff9130d3531037a891a2580fd00e89e9","score":"0.649512","text":"@Override\r\n\tpublic void refuel() {\n\r\n\t}","title":""},{"docid":"4faa810505ebcb260aff0793654a731e","score":"0.64787245","text":"@Override\n\tpublic void refuel() {\n\t\t\n\t}","title":""},{"docid":"440ce72c689aef1dd3c429cf5498732b","score":"0.6443756","text":"@Override\n\tpublic void pohyb() {\n\n\t}","title":""},{"docid":"c2f383f280f298416bf45e72c374ecfa","score":"0.64127725","text":"@Override\r\n\tpublic void anularFact() {\n\t\t\r\n\t}","title":""},{"docid":"592b765f0188dd7fa8d3f1f3683fa9d7","score":"0.62889814","text":"@Override\n\tprotected void generateData() {\n\t\t\n\t}","title":""},{"docid":"4bc8e88e84699c223ea476caacb4d454","score":"0.6277223","text":"@Override\r\n\tpublic void sauter() {\n\t\t\r\n\t}","title":""},{"docid":"db6adf52deb87c2723f80c6df873c47d","score":"0.6273419","text":"public void mo4741aD() {\n }","title":""},{"docid":"80d10ea62cee927f9ad0a7965909eaba","score":"0.6230557","text":"@Override\n\tprotected void remplit() {\n\t\t\n\t}","title":""},{"docid":"95ffa256b098e9b494cb96d4874e063f","score":"0.6218078","text":"@Override\n\tvoid refuel() {\n\n\t}","title":""},{"docid":"03d7171196199db238d56b8aeab47987","score":"0.61277896","text":"private void welcom() {\n\n\t}","title":""},{"docid":"093a096d6e96e05b160fe2406b1e8a2d","score":"0.61053663","text":"@Override\n\tpublic void parir() {\n\t\t\n\t}","title":""},{"docid":"ce165aec4a92510d2d7f78a45c6a1f81","score":"0.60921794","text":"@Override\r\n\tpublic void retirer() {\n\t\t\r\n\t}","title":""},{"docid":"23f3a7415a3f7463e8a1124d06cf4cf2","score":"0.609125","text":"@Override\n\tpublic void valide() {\n\t\t\n\t}","title":""},{"docid":"e2c0ee2f563aa58a1d1fbb6ed1a49084","score":"0.60562134","text":"public void namam() {\n\t\t\r\n\t}","title":""},{"docid":"e2c0ee2f563aa58a1d1fbb6ed1a49084","score":"0.60562134","text":"public void namam() {\n\t\t\r\n\t}","title":""},{"docid":"453637afdcc490de35afa10f347a4092","score":"0.6052283","text":"protected void mo4927v() {\n }","title":""},{"docid":"081ae6b4d91b610b8046f5ebfe7ba326","score":"0.60330045","text":"@Override\r\n\tpublic void fertilizar() {\n\t\t\r\n\t}","title":""},{"docid":"4c9e25ea6f293e2f67da562cd4a0b657","score":"0.60203654","text":"public final void mo8553EA() {\n }","title":""},{"docid":"5fda61f75e47491fe0badbfe139070a9","score":"0.6020252","text":"@Override\n\tprotected void initdata() {\n\n\t}","title":""},{"docid":"b1cf16017c8057c0255a9ad368ecaee5","score":"0.60185045","text":"@Override\r\n\tprotected void init() {\n\r\n\t}","title":""},{"docid":"4c957ed6879296e2489fa4cc534c9d68","score":"0.60134614","text":"@Override\r\n\tpublic void geefMeerprijs() {\n\t\t\r\n\t}","title":""},{"docid":"fa1a013b1df2f5f1062e1cc971135645","score":"0.5987973","text":"@Override\n\tpublic void mamar() {\n\t\t\n\t}","title":""},{"docid":"e1a5212784625cf033b8b0d71916d9a8","score":"0.59843665","text":"@Override\r\n\tpublic void se_baisser() {\n\t\t\r\n\t}","title":""},{"docid":"ab92fd509dcf9edd6498a0302e1555e9","score":"0.598327","text":"@Override\n\tpublic void withdrawl() {\n\t\t\n\t}","title":""},{"docid":"8a997a9a187c71891dd8b44afdbaa2a2","score":"0.59794915","text":"private void noOtomatis(){\n\n \n \n \n\n }","title":""},{"docid":"0056b38abf02cf94e7a1afab1755d909","score":"0.59666646","text":"@Override\r\n\tpublic void defendre() {\n\t\t\r\n\t}","title":""},{"docid":"05b92fe6834e71a629bc6b218827d95f","score":"0.596291","text":"Intervencion() {\n\t}","title":""},{"docid":"acc39f55f5b37ab7050a241c64f9a4f9","score":"0.59580564","text":"@Override\n\tpublic void actualize() {\n\t\t\n\t}","title":""},{"docid":"9a1a66628f4518af9fa213c400d9592e","score":"0.5951102","text":"@Override\r\n\tprotected void initialize() {\r\n\t\t\r\n\t}","title":""},{"docid":"16a4669a2213802ac94829fc8d9946ff","score":"0.5935938","text":"@Override\n\t\tpublic void init() {\n\t\t\t\n\t\t}","title":""},{"docid":"8b18fd12dbb5303a665e92c25393fb78","score":"0.59239364","text":"@Override\n\tprotected void initData() {\n\t\t\n\t}","title":""},{"docid":"b4f806add60ad7a84ab034d616e626e7","score":"0.59232795","text":"@Override\n public void Ramasser() {\n }","title":""},{"docid":"fb8e5a5b14d5c382d38f4afcb6d4f55d","score":"0.59119946","text":"@Override\r\n\tpublic void reculer() {\n\t\t\r\n\t}","title":""},{"docid":"c9b74342d0ae0e22bc7119b60588c66a","score":"0.5897873","text":"@Override\n\t\t\tpublic int getType() {\n\t\t\t\treturn 0;\n\t\t\t}","title":""},{"docid":"835a3677095e4c9f21649ab17f1ba40b","score":"0.58930063","text":"private static void diwalioffer() {\n\t\t\r\n\t}","title":""},{"docid":"4967494f628119c8d3a4740e09278944","score":"0.5857751","text":"@Override\r\n\tprotected void initData() {\n\r\n\t}","title":""},{"docid":"4967494f628119c8d3a4740e09278944","score":"0.5857751","text":"@Override\r\n\tprotected void initData() {\n\r\n\t}","title":""},{"docid":"47bef3d0c0ee761e936de1dada2442ec","score":"0.5845612","text":"private void Partida() {\r\n\t}","title":""},{"docid":"c34617230b51592fc8652a6c8fc39d7b","score":"0.5841976","text":"@Override\n\t\t public int describeContents() { \n\t\t return 0;\n\t\t }","title":""},{"docid":"39c15addb7f9cae9284ae4af01c5a911","score":"0.58368444","text":"@Override\r\n\tpublic void cortar() {\n\t\t\r\n\t}","title":""},{"docid":"74acf90efa52ac7bee2d28c6dee180bf","score":"0.5808944","text":"public void mo25302P() {\n }","title":""},{"docid":"9d2f44c3ebe1fb8de1ac4ae677e2d851","score":"0.5806823","text":"@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}","title":""},{"docid":"b14d9313b224be37257260448fc816d3","score":"0.5805753","text":"@Override\n\tpublic void breathes()\n\t{\n\n\t}","title":""},{"docid":"4958a5331fdb65d09e333f006441f701","score":"0.57990485","text":"@Override\n public int size() {\n // TODO Auto-generated method stub\n return 0;\n }","title":""},{"docid":"ce91051d32625345f2bf3562abbb93de","score":"0.5794177","text":"@Override\n\tprotected void inicializar() {\n\t}","title":""},{"docid":"2a790ebdc342a2b85b21b58d99e8bb02","score":"0.57934815","text":"@Override\n\tpublic void landen()\n\t{\n\t\t\n\t}","title":""},{"docid":"beee84210d56979d0068a8094fb2a5bd","score":"0.5792378","text":"@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}","title":""},{"docid":"b17089ec7f3b873adc1ebff906be9241","score":"0.5790544","text":"@Override\r\n\tpublic void carregar() {\n\t\t\r\n\t}","title":""},{"docid":"925ab02db0448f51f913efd603e7b5b4","score":"0.57877386","text":"@Override\n\tpublic void breathe() {\n\n\t\t\n\t}","title":""},{"docid":"3f682cd35cc51a176e84d31bb70401ec","score":"0.5786728","text":"@Override\n\t\t\tpublic int Order() {\n\t\t\t\treturn 1;\n\t\t\t}","title":""},{"docid":"3f682cd35cc51a176e84d31bb70401ec","score":"0.5786728","text":"@Override\n\t\t\tpublic int Order() {\n\t\t\t\treturn 1;\n\t\t\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"2ded89a6dfb4a5cfce4bf00ee7993921","score":"0.5774479","text":"@Override\n\tpublic void init() {\n\t\t\n\t}","title":""},{"docid":"b0f36892991e52a8359bd9bea7916606","score":"0.5773981","text":"@Override\r\n\tpublic void Value() {\n\t\t\r\n\t}","title":""},{"docid":"b0f36892991e52a8359bd9bea7916606","score":"0.5773981","text":"@Override\r\n\tpublic void Value() {\n\t\t\r\n\t}","title":""},{"docid":"e7dbef6468de164eadd6d220b4ed2936","score":"0.57625693","text":"@Override\n\tpublic void vegetais() {\n\t\t\n\t}","title":""},{"docid":"518a761521ca9f5cb8a8055b32b72cda","score":"0.57596046","text":"@Override\n\tprotected void initialize() {\n\t\t\n\t}","title":""},{"docid":"627bf6ef88b45b88b902a23fc9a6eb2b","score":"0.5754491","text":"@Override\r\n\tpublic void init()\r\n\t{\n\t\t\r\n\t}","title":""},{"docid":"1985dddb6264adc2fb069a687b25f36b","score":"0.57541007","text":"@Override\n\tpublic void groom() {\n\t\t\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"2d614ed2ee5b3120f5ee8b427542ddc3","score":"0.575025","text":"@Override\r\n\tpublic void init() {\n\t\t\r\n\t}","title":""},{"docid":"dfa3deb699f1baaf610b77ae9370559a","score":"0.57471","text":"@Override\n\tpublic void gravar() {\n\n\t}","title":""},{"docid":"bf96ef68c4dc727efe52fcae4e20a6c6","score":"0.5736261","text":"@Override\r\n public int getType() {\n return 1;\r\n }","title":""},{"docid":"b143ffd983be4c8f41702b8f934b6f32","score":"0.57337177","text":"@Override\r\n\tpublic void init() {\n\r\n\t}","title":""},{"docid":"b143ffd983be4c8f41702b8f934b6f32","score":"0.57337177","text":"@Override\r\n\tpublic void init() {\n\r\n\t}","title":""},{"docid":"a7ae27b45bb1a02a96ba4232264be825","score":"0.57315516","text":"@Override\n\tpublic void embarcar() {\n\t\t\n\t}","title":""},{"docid":"8b16d59a149827c698e510477f7a4e9d","score":"0.57292205","text":"public void mo9585b() {\n }","title":""},{"docid":"0ce436410fb4ad1af4e012ab5253a43a","score":"0.57232136","text":"@Override\n\tpublic void maas() {\n\t\t\n\t}","title":""},{"docid":"a937c607590931387a357d03c3b0eef4","score":"0.5715831","text":"@Override\n\tprotected void initialize() {\n\n\t}","title":""},{"docid":"10daa0b69fc83ea1f81c27147cd56557","score":"0.5712038","text":"@Override\n\tpublic void Ordenar() {\n\t\t\n\t}","title":""},{"docid":"78a0d7cad7b423dba2c6000b1302b9a0","score":"0.5705727","text":"@Override\n\tprotected void ganharExp() {\n\t\t\n\t}","title":""},{"docid":"162a468b891a508701c52265588e91b6","score":"0.5699155","text":"@Override\r\n public void init() {\n\r\n }","title":""},{"docid":"39132efb6b42f8ec625d96ff6226d80b","score":"0.56991017","text":"@Override\n\tprotected void lazyLoad() {\n\t\t\n\t}","title":""},{"docid":"6fba68e503150b58bb627390fe723ce3","score":"0.56942755","text":"@Override\r\n\tpublic void servir() {\n\t\t\r\n\t}","title":""},{"docid":"9e8299e02e2afca4b347ab5022949b84","score":"0.56936175","text":"@Override\n public void rest() {\n \n }","title":""},{"docid":"ddd8d8a26991b887b8f19171d700e1d3","score":"0.56922704","text":"@Override\n\tpublic void proveerdatos() {\n\t\t\n\t}","title":""},{"docid":"e21063ae833db842230f1d37006a0359","score":"0.56854326","text":"@Override public int getAtaque(){\n\n return 0;\n\n }","title":""},{"docid":"b6c641fa6ba40a5b14cc33cb07aa0671","score":"0.5669649","text":"@Override\n\tprotected void initData() {\n\t}","title":""},{"docid":"a0b89d2fbd83aefeb636ae04ad1fcd91","score":"0.56631064","text":"public void init(){\n\t //TODO Auto-generated method stub\n\t}","title":""},{"docid":"2aed4e4b25907c376dc30c486b4f975f","score":"0.5657416","text":"public final void mo73469b() {\n }","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""},{"docid":"9d94df716ebd35f7ec07df01763ae94c","score":"0.5655942","text":"@Override\n\tpublic void init() {\n\n\t}","title":""}],"string":"[\n {\n \"docid\": \"ffe5fe3cec40acf4b0b07ea257dfa06a\",\n \"score\": \"0.6831473\",\n \"text\": \"private void apparence()\\r\\n\\t\\t{\\r\\n\\r\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"838a915c9ea69d56cc37df198cff9cb2\",\n \"score\": \"0.67589027\",\n \"text\": \"@Override\\n\\t\\t\\t\\tpublic void pintar() {\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"479340d7603590876396cc58262a3776\",\n \"score\": \"0.6593355\",\n \"text\": \"@Override\\r\\n\\tpublic int attaquer() {\\r\\n\\t\\t// TODO Auto-generated method stub\\r\\n\\t\\treturn 0;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff9130d3531037a891a2580fd00e89e9\",\n \"score\": \"0.649512\",\n \"text\": \"@Override\\r\\n\\tpublic void refuel() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4faa810505ebcb260aff0793654a731e\",\n \"score\": \"0.64787245\",\n \"text\": \"@Override\\n\\tpublic void refuel() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"440ce72c689aef1dd3c429cf5498732b\",\n \"score\": \"0.6443756\",\n \"text\": \"@Override\\n\\tpublic void pohyb() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2f383f280f298416bf45e72c374ecfa\",\n \"score\": \"0.64127725\",\n \"text\": \"@Override\\r\\n\\tpublic void anularFact() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"592b765f0188dd7fa8d3f1f3683fa9d7\",\n \"score\": \"0.62889814\",\n \"text\": \"@Override\\n\\tprotected void generateData() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4bc8e88e84699c223ea476caacb4d454\",\n \"score\": \"0.6277223\",\n \"text\": \"@Override\\r\\n\\tpublic void sauter() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db6adf52deb87c2723f80c6df873c47d\",\n \"score\": \"0.6273419\",\n \"text\": \"public void mo4741aD() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"80d10ea62cee927f9ad0a7965909eaba\",\n \"score\": \"0.6230557\",\n \"text\": \"@Override\\n\\tprotected void remplit() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"95ffa256b098e9b494cb96d4874e063f\",\n \"score\": \"0.6218078\",\n \"text\": \"@Override\\n\\tvoid refuel() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"03d7171196199db238d56b8aeab47987\",\n \"score\": \"0.61277896\",\n \"text\": \"private void welcom() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"093a096d6e96e05b160fe2406b1e8a2d\",\n \"score\": \"0.61053663\",\n \"text\": \"@Override\\n\\tpublic void parir() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ce165aec4a92510d2d7f78a45c6a1f81\",\n \"score\": \"0.60921794\",\n \"text\": \"@Override\\r\\n\\tpublic void retirer() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"23f3a7415a3f7463e8a1124d06cf4cf2\",\n \"score\": \"0.609125\",\n \"text\": \"@Override\\n\\tpublic void valide() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e2c0ee2f563aa58a1d1fbb6ed1a49084\",\n \"score\": \"0.60562134\",\n \"text\": \"public void namam() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e2c0ee2f563aa58a1d1fbb6ed1a49084\",\n \"score\": \"0.60562134\",\n \"text\": \"public void namam() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"453637afdcc490de35afa10f347a4092\",\n \"score\": \"0.6052283\",\n \"text\": \"protected void mo4927v() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"081ae6b4d91b610b8046f5ebfe7ba326\",\n \"score\": \"0.60330045\",\n \"text\": \"@Override\\r\\n\\tpublic void fertilizar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4c9e25ea6f293e2f67da562cd4a0b657\",\n \"score\": \"0.60203654\",\n \"text\": \"public final void mo8553EA() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5fda61f75e47491fe0badbfe139070a9\",\n \"score\": \"0.6020252\",\n \"text\": \"@Override\\n\\tprotected void initdata() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b1cf16017c8057c0255a9ad368ecaee5\",\n \"score\": \"0.60185045\",\n \"text\": \"@Override\\r\\n\\tprotected void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4c957ed6879296e2489fa4cc534c9d68\",\n \"score\": \"0.60134614\",\n \"text\": \"@Override\\r\\n\\tpublic void geefMeerprijs() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fa1a013b1df2f5f1062e1cc971135645\",\n \"score\": \"0.5987973\",\n \"text\": \"@Override\\n\\tpublic void mamar() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e1a5212784625cf033b8b0d71916d9a8\",\n \"score\": \"0.59843665\",\n \"text\": \"@Override\\r\\n\\tpublic void se_baisser() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ab92fd509dcf9edd6498a0302e1555e9\",\n \"score\": \"0.598327\",\n \"text\": \"@Override\\n\\tpublic void withdrawl() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a997a9a187c71891dd8b44afdbaa2a2\",\n \"score\": \"0.59794915\",\n \"text\": \"private void noOtomatis(){\\n\\n \\n \\n \\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0056b38abf02cf94e7a1afab1755d909\",\n \"score\": \"0.59666646\",\n \"text\": \"@Override\\r\\n\\tpublic void defendre() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"05b92fe6834e71a629bc6b218827d95f\",\n \"score\": \"0.596291\",\n \"text\": \"Intervencion() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"acc39f55f5b37ab7050a241c64f9a4f9\",\n \"score\": \"0.59580564\",\n \"text\": \"@Override\\n\\tpublic void actualize() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9a1a66628f4518af9fa213c400d9592e\",\n \"score\": \"0.5951102\",\n \"text\": \"@Override\\r\\n\\tprotected void initialize() {\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"16a4669a2213802ac94829fc8d9946ff\",\n \"score\": \"0.5935938\",\n \"text\": \"@Override\\n\\t\\tpublic void init() {\\n\\t\\t\\t\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b18fd12dbb5303a665e92c25393fb78\",\n \"score\": \"0.59239364\",\n \"text\": \"@Override\\n\\tprotected void initData() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b4f806add60ad7a84ab034d616e626e7\",\n \"score\": \"0.59232795\",\n \"text\": \"@Override\\n public void Ramasser() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fb8e5a5b14d5c382d38f4afcb6d4f55d\",\n \"score\": \"0.59119946\",\n \"text\": \"@Override\\r\\n\\tpublic void reculer() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c9b74342d0ae0e22bc7119b60588c66a\",\n \"score\": \"0.5897873\",\n \"text\": \"@Override\\n\\t\\t\\tpublic int getType() {\\n\\t\\t\\t\\treturn 0;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"835a3677095e4c9f21649ab17f1ba40b\",\n \"score\": \"0.58930063\",\n \"text\": \"private static void diwalioffer() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4967494f628119c8d3a4740e09278944\",\n \"score\": \"0.5857751\",\n \"text\": \"@Override\\r\\n\\tprotected void initData() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4967494f628119c8d3a4740e09278944\",\n \"score\": \"0.5857751\",\n \"text\": \"@Override\\r\\n\\tprotected void initData() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"47bef3d0c0ee761e936de1dada2442ec\",\n \"score\": \"0.5845612\",\n \"text\": \"private void Partida() {\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c34617230b51592fc8652a6c8fc39d7b\",\n \"score\": \"0.5841976\",\n \"text\": \"@Override\\n\\t\\t public int describeContents() { \\n\\t\\t return 0;\\n\\t\\t }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39c15addb7f9cae9284ae4af01c5a911\",\n \"score\": \"0.58368444\",\n \"text\": \"@Override\\r\\n\\tpublic void cortar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74acf90efa52ac7bee2d28c6dee180bf\",\n \"score\": \"0.5808944\",\n \"text\": \"public void mo25302P() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d2f44c3ebe1fb8de1ac4ae677e2d851\",\n \"score\": \"0.5806823\",\n \"text\": \"@Override\\r\\n\\tpublic void dibujar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b14d9313b224be37257260448fc816d3\",\n \"score\": \"0.5805753\",\n \"text\": \"@Override\\n\\tpublic void breathes()\\n\\t{\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4958a5331fdb65d09e333f006441f701\",\n \"score\": \"0.57990485\",\n \"text\": \"@Override\\n public int size() {\\n // TODO Auto-generated method stub\\n return 0;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ce91051d32625345f2bf3562abbb93de\",\n \"score\": \"0.5794177\",\n \"text\": \"@Override\\n\\tprotected void inicializar() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a790ebdc342a2b85b21b58d99e8bb02\",\n \"score\": \"0.57934815\",\n \"text\": \"@Override\\n\\tpublic void landen()\\n\\t{\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"beee84210d56979d0068a8094fb2a5bd\",\n \"score\": \"0.5792378\",\n \"text\": \"@Override\\r\\n\\tprotected void initData() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b17089ec7f3b873adc1ebff906be9241\",\n \"score\": \"0.5790544\",\n \"text\": \"@Override\\r\\n\\tpublic void carregar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"925ab02db0448f51f913efd603e7b5b4\",\n \"score\": \"0.57877386\",\n \"text\": \"@Override\\n\\tpublic void breathe() {\\n\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f682cd35cc51a176e84d31bb70401ec\",\n \"score\": \"0.5786728\",\n \"text\": \"@Override\\n\\t\\t\\tpublic int Order() {\\n\\t\\t\\t\\treturn 1;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f682cd35cc51a176e84d31bb70401ec\",\n \"score\": \"0.5786728\",\n \"text\": \"@Override\\n\\t\\t\\tpublic int Order() {\\n\\t\\t\\t\\treturn 1;\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2ded89a6dfb4a5cfce4bf00ee7993921\",\n \"score\": \"0.5774479\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0f36892991e52a8359bd9bea7916606\",\n \"score\": \"0.5773981\",\n \"text\": \"@Override\\r\\n\\tpublic void Value() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b0f36892991e52a8359bd9bea7916606\",\n \"score\": \"0.5773981\",\n \"text\": \"@Override\\r\\n\\tpublic void Value() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e7dbef6468de164eadd6d220b4ed2936\",\n \"score\": \"0.57625693\",\n \"text\": \"@Override\\n\\tpublic void vegetais() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"518a761521ca9f5cb8a8055b32b72cda\",\n \"score\": \"0.57596046\",\n \"text\": \"@Override\\n\\tprotected void initialize() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"627bf6ef88b45b88b902a23fc9a6eb2b\",\n \"score\": \"0.5754491\",\n \"text\": \"@Override\\r\\n\\tpublic void init()\\r\\n\\t{\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1985dddb6264adc2fb069a687b25f36b\",\n \"score\": \"0.57541007\",\n \"text\": \"@Override\\n\\tpublic void groom() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d614ed2ee5b3120f5ee8b427542ddc3\",\n \"score\": \"0.575025\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dfa3deb699f1baaf610b77ae9370559a\",\n \"score\": \"0.57471\",\n \"text\": \"@Override\\n\\tpublic void gravar() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bf96ef68c4dc727efe52fcae4e20a6c6\",\n \"score\": \"0.5736261\",\n \"text\": \"@Override\\r\\n public int getType() {\\n return 1;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b143ffd983be4c8f41702b8f934b6f32\",\n \"score\": \"0.57337177\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b143ffd983be4c8f41702b8f934b6f32\",\n \"score\": \"0.57337177\",\n \"text\": \"@Override\\r\\n\\tpublic void init() {\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7ae27b45bb1a02a96ba4232264be825\",\n \"score\": \"0.57315516\",\n \"text\": \"@Override\\n\\tpublic void embarcar() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b16d59a149827c698e510477f7a4e9d\",\n \"score\": \"0.57292205\",\n \"text\": \"public void mo9585b() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0ce436410fb4ad1af4e012ab5253a43a\",\n \"score\": \"0.57232136\",\n \"text\": \"@Override\\n\\tpublic void maas() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a937c607590931387a357d03c3b0eef4\",\n \"score\": \"0.5715831\",\n \"text\": \"@Override\\n\\tprotected void initialize() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10daa0b69fc83ea1f81c27147cd56557\",\n \"score\": \"0.5712038\",\n \"text\": \"@Override\\n\\tpublic void Ordenar() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78a0d7cad7b423dba2c6000b1302b9a0\",\n \"score\": \"0.5705727\",\n \"text\": \"@Override\\n\\tprotected void ganharExp() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"162a468b891a508701c52265588e91b6\",\n \"score\": \"0.5699155\",\n \"text\": \"@Override\\r\\n public void init() {\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"39132efb6b42f8ec625d96ff6226d80b\",\n \"score\": \"0.56991017\",\n \"text\": \"@Override\\n\\tprotected void lazyLoad() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6fba68e503150b58bb627390fe723ce3\",\n \"score\": \"0.56942755\",\n \"text\": \"@Override\\r\\n\\tpublic void servir() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9e8299e02e2afca4b347ab5022949b84\",\n \"score\": \"0.56936175\",\n \"text\": \"@Override\\n public void rest() {\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ddd8d8a26991b887b8f19171d700e1d3\",\n \"score\": \"0.56922704\",\n \"text\": \"@Override\\n\\tpublic void proveerdatos() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e21063ae833db842230f1d37006a0359\",\n \"score\": \"0.56854326\",\n \"text\": \"@Override public int getAtaque(){\\n\\n return 0;\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b6c641fa6ba40a5b14cc33cb07aa0671\",\n \"score\": \"0.5669649\",\n \"text\": \"@Override\\n\\tprotected void initData() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a0b89d2fbd83aefeb636ae04ad1fcd91\",\n \"score\": \"0.56631064\",\n \"text\": \"public void init(){\\n\\t //TODO Auto-generated method stub\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2aed4e4b25907c376dc30c486b4f975f\",\n \"score\": \"0.5657416\",\n \"text\": \"public final void mo73469b() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9d94df716ebd35f7ec07df01763ae94c\",\n \"score\": \"0.5655942\",\n \"text\": \"@Override\\n\\tpublic void init() {\\n\\n\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":989696,"cells":{"query_id":{"kind":"string","value":"4081e6fe9d65ffc265ba4676e79d6899"},"query":{"kind":"string","value":"$ANTLR end \"rule__XSynchronizedExpression__Group__3\" $ANTLR start \"rule__XSynchronizedExpression__Group__3__Impl\" ../org.eclipse.xtext.idea.example.entities.ui/srcgen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15568:1: rule__XSynchronizedExpression__Group__3__Impl : ( ( rule__XSynchronizedExpression__ExpressionAssignment_3 ) ) ;"},"positive_passages":{"kind":"list like","value":[{"docid":"e61af8f3f317ef6a24daef1a0182d839","score":"0.8005705","text":"public final void rule__XSynchronizedExpression__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15572:1: ( ( ( rule__XSynchronizedExpression__ExpressionAssignment_3 ) ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15573:1: ( ( rule__XSynchronizedExpression__ExpressionAssignment_3 ) )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15573:1: ( ( rule__XSynchronizedExpression__ExpressionAssignment_3 ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15574:1: ( rule__XSynchronizedExpression__ExpressionAssignment_3 )\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXSynchronizedExpressionAccess().getExpressionAssignment_3()); \n }\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15575:1: ( rule__XSynchronizedExpression__ExpressionAssignment_3 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15575:2: rule__XSynchronizedExpression__ExpressionAssignment_3\n {\n pushFollow(FOLLOW_rule__XSynchronizedExpression__ExpressionAssignment_3_in_rule__XSynchronizedExpression__Group__3__Impl31425);\n rule__XSynchronizedExpression__ExpressionAssignment_3();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXSynchronizedExpressionAccess().getExpressionAssignment_3()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""}],"string":"[\n {\n \"docid\": \"e61af8f3f317ef6a24daef1a0182d839\",\n \"score\": \"0.8005705\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group__3__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15572:1: ( ( ( rule__XSynchronizedExpression__ExpressionAssignment_3 ) ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15573:1: ( ( rule__XSynchronizedExpression__ExpressionAssignment_3 ) )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15573:1: ( ( rule__XSynchronizedExpression__ExpressionAssignment_3 ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15574:1: ( rule__XSynchronizedExpression__ExpressionAssignment_3 )\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXSynchronizedExpressionAccess().getExpressionAssignment_3()); \\n }\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15575:1: ( rule__XSynchronizedExpression__ExpressionAssignment_3 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15575:2: rule__XSynchronizedExpression__ExpressionAssignment_3\\n {\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__ExpressionAssignment_3_in_rule__XSynchronizedExpression__Group__3__Impl31425);\\n rule__XSynchronizedExpression__ExpressionAssignment_3();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXSynchronizedExpressionAccess().getExpressionAssignment_3()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"1047040d7ff4750d45c1f992e612423c","score":"0.8164058","text":"public final void rule__XSynchronizedExpression__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15561:1: ( rule__XSynchronizedExpression__Group__3__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15562:2: rule__XSynchronizedExpression__Group__3__Impl\n {\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__3__Impl_in_rule__XSynchronizedExpression__Group__331398);\n rule__XSynchronizedExpression__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"58bb13c0acd961ef3d509a047a6d11e9","score":"0.77392083","text":"public final void rule__XSynchronizedExpression__Group__2() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15530:1: ( rule__XSynchronizedExpression__Group__2__Impl rule__XSynchronizedExpression__Group__3 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15531:2: rule__XSynchronizedExpression__Group__2__Impl rule__XSynchronizedExpression__Group__3\n {\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__2__Impl_in_rule__XSynchronizedExpression__Group__231336);\n rule__XSynchronizedExpression__Group__2__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__3_in_rule__XSynchronizedExpression__Group__231339);\n rule__XSynchronizedExpression__Group__3();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"d1fbd4ce71506c5db1f7ddd96b4449c2","score":"0.7385258","text":"public final void rule__XSynchronizedExpression__Group__2__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15542:1: ( ( ')' ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15543:1: ( ')' )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15543:1: ( ')' )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15544:1: ')'\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXSynchronizedExpressionAccess().getRightParenthesisKeyword_2()); \n }\n match(input,58,FOLLOW_58_in_rule__XSynchronizedExpression__Group__2__Impl31367); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXSynchronizedExpressionAccess().getRightParenthesisKeyword_2()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"9379ec4d7a9761f15e71d7d513675eae","score":"0.7334722","text":"public final void rule__XSynchronizedExpression__Group_0_0__0__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15639:1: ( ( () ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15640:1: ( () )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15640:1: ( () )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15641:1: ()\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXSynchronizedExpressionAccess().getXSynchronizedExpressionAction_0_0_0()); \n }\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15642:1: ()\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15644:1: \n {\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXSynchronizedExpressionAccess().getXSynchronizedExpressionAction_0_0_0()); \n }\n\n }\n\n\n }\n\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"fd11d4f86b1e270ab7e466ada62ee8fa","score":"0.7328437","text":"public final void rule__XSynchronizedExpression__Group_0_0__2__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15700:1: ( ( '(' ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15701:1: ( '(' )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15701:1: ( '(' )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15702:1: '('\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXSynchronizedExpressionAccess().getLeftParenthesisKeyword_0_0_2()); \n }\n match(input,57,FOLLOW_57_in_rule__XSynchronizedExpression__Group_0_0__2__Impl31673); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXSynchronizedExpressionAccess().getLeftParenthesisKeyword_0_0_2()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"5b780cc0977f339a5312cbd8a2b52f5b","score":"0.73143697","text":"public final void rule__XSynchronizedExpression__Group_0__0__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15608:1: ( ( ( rule__XSynchronizedExpression__Group_0_0__0 ) ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15609:1: ( ( rule__XSynchronizedExpression__Group_0_0__0 ) )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15609:1: ( ( rule__XSynchronizedExpression__Group_0_0__0 ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15610:1: ( rule__XSynchronizedExpression__Group_0_0__0 )\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXSynchronizedExpressionAccess().getGroup_0_0()); \n }\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15611:1: ( rule__XSynchronizedExpression__Group_0_0__0 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15611:2: rule__XSynchronizedExpression__Group_0_0__0\n {\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0_0__0_in_rule__XSynchronizedExpression__Group_0__0__Impl31490);\n rule__XSynchronizedExpression__Group_0_0__0();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXSynchronizedExpressionAccess().getGroup_0_0()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"75f66bdfa58ca6f76a9ff0dc30729879","score":"0.7252442","text":"public final void ruleXSynchronizedExpression() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:1872:2: ( ( ( rule__XSynchronizedExpression__Group__0 ) ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:1873:1: ( ( rule__XSynchronizedExpression__Group__0 ) )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:1873:1: ( ( rule__XSynchronizedExpression__Group__0 ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:1874:1: ( rule__XSynchronizedExpression__Group__0 )\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXSynchronizedExpressionAccess().getGroup()); \n }\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:1875:1: ( rule__XSynchronizedExpression__Group__0 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:1875:2: rule__XSynchronizedExpression__Group__0\n {\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__0_in_ruleXSynchronizedExpression3945);\n rule__XSynchronizedExpression__Group__0();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXSynchronizedExpressionAccess().getGroup()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"2d7338d3d054a8690b26bc81b70825d8","score":"0.7215714","text":"public final void rule__XSynchronizedExpression__Group__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15501:1: ( rule__XSynchronizedExpression__Group__1__Impl rule__XSynchronizedExpression__Group__2 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15502:2: rule__XSynchronizedExpression__Group__1__Impl rule__XSynchronizedExpression__Group__2\n {\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__1__Impl_in_rule__XSynchronizedExpression__Group__131276);\n rule__XSynchronizedExpression__Group__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__2_in_rule__XSynchronizedExpression__Group__131279);\n rule__XSynchronizedExpression__Group__2();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"ad6f0bdcbf68ff4f31cbc8754a871378","score":"0.7185153","text":"public final void rule__XSynchronizedExpression__Group__0__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15484:1: ( ( ( rule__XSynchronizedExpression__Group_0__0 ) ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15485:1: ( ( rule__XSynchronizedExpression__Group_0__0 ) )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15485:1: ( ( rule__XSynchronizedExpression__Group_0__0 ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15486:1: ( rule__XSynchronizedExpression__Group_0__0 )\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXSynchronizedExpressionAccess().getGroup_0()); \n }\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15487:1: ( rule__XSynchronizedExpression__Group_0__0 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15487:2: rule__XSynchronizedExpression__Group_0__0\n {\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0__0_in_rule__XSynchronizedExpression__Group__0__Impl31246);\n rule__XSynchronizedExpression__Group_0__0();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXSynchronizedExpressionAccess().getGroup_0()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"3eb87c09be8a41178c9945df1d774e08","score":"0.7148092","text":"public final void rule__XSynchronizedExpression__Group_0_0__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15658:1: ( rule__XSynchronizedExpression__Group_0_0__1__Impl rule__XSynchronizedExpression__Group_0_0__2 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15659:2: rule__XSynchronizedExpression__Group_0_0__1__Impl rule__XSynchronizedExpression__Group_0_0__2\n {\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0_0__1__Impl_in_rule__XSynchronizedExpression__Group_0_0__131583);\n rule__XSynchronizedExpression__Group_0_0__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0_0__2_in_rule__XSynchronizedExpression__Group_0_0__131586);\n rule__XSynchronizedExpression__Group_0_0__2();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"99f5a5f68fb515a860fa31951c2b2886","score":"0.71410453","text":"public final void rule__XAssignment__Group_0__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4732:1: ( rule__XAssignment__Group_0__3__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4733:2: rule__XAssignment__Group_0__3__Impl\n {\n pushFollow(FOLLOW_rule__XAssignment__Group_0__3__Impl_in_rule__XAssignment__Group_0__310126);\n rule__XAssignment__Group_0__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"b5472d57f7edeb431863eeac57435c5f","score":"0.7134221","text":"public final void rule__XSynchronizedExpression__Group_0_0__2() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15689:1: ( rule__XSynchronizedExpression__Group_0_0__2__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15690:2: rule__XSynchronizedExpression__Group_0_0__2__Impl\n {\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0_0__2__Impl_in_rule__XSynchronizedExpression__Group_0_0__231645);\n rule__XSynchronizedExpression__Group_0_0__2__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"37030906984f052b8c95e25cfaeb02a1","score":"0.70857286","text":"public final void rule__XSynchronizedExpression__Group__0() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15472:1: ( rule__XSynchronizedExpression__Group__0__Impl rule__XSynchronizedExpression__Group__1 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15473:2: rule__XSynchronizedExpression__Group__0__Impl rule__XSynchronizedExpression__Group__1\n {\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__0__Impl_in_rule__XSynchronizedExpression__Group__031216);\n rule__XSynchronizedExpression__Group__0__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__1_in_rule__XSynchronizedExpression__Group__031219);\n rule__XSynchronizedExpression__Group__1();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"21d7c414c4c9a0bc32307e968d9969cc","score":"0.69212943","text":"public final void rule__XSynchronizedExpression__Group_0__0() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15597:1: ( rule__XSynchronizedExpression__Group_0__0__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15598:2: rule__XSynchronizedExpression__Group_0__0__Impl\n {\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0__0__Impl_in_rule__XSynchronizedExpression__Group_0__031463);\n rule__XSynchronizedExpression__Group_0__0__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"fd1888988f4dd1726b22696fd84e496c","score":"0.6916064","text":"public final void rule__XVariableDeclaration__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13039:1: ( rule__XVariableDeclaration__Group__3__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13040:2: rule__XVariableDeclaration__Group__3__Impl\n {\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group__3__Impl_in_rule__XVariableDeclaration__Group__326433);\n rule__XVariableDeclaration__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"8582a9a01603a3da896495c19ee77c0a","score":"0.69051856","text":"public final void rule__XAssignment__Group_0__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4965:1: ( rule__XAssignment__Group_0__3__Impl )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4966:2: rule__XAssignment__Group_0__3__Impl\n {\n pushFollow(FOLLOW_rule__XAssignment__Group_0__3__Impl_in_rule__XAssignment__Group_0__310506);\n rule__XAssignment__Group_0__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"4f132b89e8b2ee09c80a70d7cfcb563f","score":"0.6873854","text":"public final void rule__XSynchronizedExpression__Group_0_0__0() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15627:1: ( rule__XSynchronizedExpression__Group_0_0__0__Impl rule__XSynchronizedExpression__Group_0_0__1 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15628:2: rule__XSynchronizedExpression__Group_0_0__0__Impl rule__XSynchronizedExpression__Group_0_0__1\n {\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0_0__0__Impl_in_rule__XSynchronizedExpression__Group_0_0__031522);\n rule__XSynchronizedExpression__Group_0_0__0__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0_0__1_in_rule__XSynchronizedExpression__Group_0_0__031525);\n rule__XSynchronizedExpression__Group_0_0__1();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"e0d9e7540406feb8ff2a57f696585f85","score":"0.68052596","text":"public final void rule__Atomic__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../algorithmMaker.input.ui/src-gen/algorithmMaker/ui/contentassist/antlr/internal/InternalInput.g:3090:1: ( rule__Atomic__Group__3__Impl )\n // ../algorithmMaker.input.ui/src-gen/algorithmMaker/ui/contentassist/antlr/internal/InternalInput.g:3091:2: rule__Atomic__Group__3__Impl\n {\n pushFollow(FOLLOW_rule__Atomic__Group__3__Impl_in_rule__Atomic__Group__36218);\n rule__Atomic__Group__3__Impl();\n\n state._fsp--;\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"862c862fac0cbf741b62a459ebbc2850","score":"0.6801167","text":"public final void rule__XBlockExpression__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:12849:1: ( rule__XBlockExpression__Group__3__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:12850:2: rule__XBlockExpression__Group__3__Impl\n {\n pushFollow(FOLLOW_rule__XBlockExpression__Group__3__Impl_in_rule__XBlockExpression__Group__326059);\n rule__XBlockExpression__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"5315a5b71f601eaa10261cbbd15ca229","score":"0.6793036","text":"public final void rule__Atomic__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../algorithmMaker.input.ui/src-gen/algorithmMaker/ui/contentassist/antlr/internal/InternalInput.g:3101:1: ( ( ')' ) )\n // ../algorithmMaker.input.ui/src-gen/algorithmMaker/ui/contentassist/antlr/internal/InternalInput.g:3102:1: ( ')' )\n {\n // ../algorithmMaker.input.ui/src-gen/algorithmMaker/ui/contentassist/antlr/internal/InternalInput.g:3102:1: ( ')' )\n // ../algorithmMaker.input.ui/src-gen/algorithmMaker/ui/contentassist/antlr/internal/InternalInput.g:3103:1: ')'\n {\n before(grammarAccess.getAtomicAccess().getRightParenthesisKeyword_3()); \n match(input,35,FOLLOW_35_in_rule__Atomic__Group__3__Impl6246); \n after(grammarAccess.getAtomicAccess().getRightParenthesisKeyword_3()); \n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"818ce1797206c90d642bb6f497fb3c92","score":"0.67923886","text":"public final void rule__XTypeLiteral__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14859:1: ( rule__XTypeLiteral__Group__3__Impl rule__XTypeLiteral__Group__4 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14860:2: rule__XTypeLiteral__Group__3__Impl rule__XTypeLiteral__Group__4\n {\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__3__Impl_in_rule__XTypeLiteral__Group__330016);\n rule__XTypeLiteral__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__4_in_rule__XTypeLiteral__Group__330019);\n rule__XTypeLiteral__Group__4();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"a42a11e3b0f842df97d68719904cc76e","score":"0.67804396","text":"public final void rule__XSetLiteral__Group_3__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8874:1: ( rule__XSetLiteral__Group_3__1__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8875:2: rule__XSetLiteral__Group_3__1__Impl\n {\n pushFollow(FOLLOW_rule__XSetLiteral__Group_3__1__Impl_in_rule__XSetLiteral__Group_3__118251);\n rule__XSetLiteral__Group_3__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"390b5e92c2396e2fcef30fa18ab28741","score":"0.677659","text":"public final void rule__XVariableDeclaration__Group_3__0__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12311:1: ( ( '=' ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12312:1: ( '=' )\n {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12312:1: ( '=' )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12313:1: '='\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXVariableDeclarationAccess().getEqualsSignKeyword_3_0()); \n }\n match(input,13,FOLLOW_13_in_rule__XVariableDeclaration__Group_3__0__Impl24937); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXVariableDeclarationAccess().getEqualsSignKeyword_3_0()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"72346a364d613593f63ae3e5debd6892","score":"0.67756146","text":"public final void rule__XAssignment__Group_0__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:3725:1: ( rule__XAssignment__Group_0__3__Impl )\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:3726:2: rule__XAssignment__Group_0__3__Impl\n {\n pushFollow(FOLLOW_rule__XAssignment__Group_0__3__Impl_in_rule__XAssignment__Group_0__37880);\n rule__XAssignment__Group_0__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"7b8df7706493d067476446a4aa914065","score":"0.676289","text":"public final void rule__XVariableDeclaration__Group_3__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13197:1: ( rule__XVariableDeclaration__Group_3__1__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13198:2: rule__XVariableDeclaration__Group_3__1__Impl\n {\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group_3__1__Impl_in_rule__XVariableDeclaration__Group_3__126741);\n rule__XVariableDeclaration__Group_3__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"1acf995dc196a4d7e6a436c30dc183bd","score":"0.67470664","text":"public final void rule__XBlockExpression__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:11982:1: ( rule__XBlockExpression__Group__3__Impl )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:11983:2: rule__XBlockExpression__Group__3__Impl\n {\n pushFollow(FOLLOW_rule__XBlockExpression__Group__3__Impl_in_rule__XBlockExpression__Group__324286);\n rule__XBlockExpression__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"c767bff7efac02fa3fb68ede486fca7c","score":"0.67420447","text":"public final void rule__XVariableDeclaration__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13050:1: ( ( ( rule__XVariableDeclaration__Group_3__0 )? ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13051:1: ( ( rule__XVariableDeclaration__Group_3__0 )? )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13051:1: ( ( rule__XVariableDeclaration__Group_3__0 )? )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13052:1: ( rule__XVariableDeclaration__Group_3__0 )?\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXVariableDeclarationAccess().getGroup_3()); \n }\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13053:1: ( rule__XVariableDeclaration__Group_3__0 )?\n int alt94=2;\n int LA94_0 = input.LA(1);\n\n if ( (LA94_0==13) ) {\n alt94=1;\n }\n switch (alt94) {\n case 1 :\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13053:2: rule__XVariableDeclaration__Group_3__0\n {\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group_3__0_in_rule__XVariableDeclaration__Group__3__Impl26460);\n rule__XVariableDeclaration__Group_3__0();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n break;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXVariableDeclarationAccess().getGroup_3()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"0b0b38b96ba3cc75a211464f6c84aff1","score":"0.6738632","text":"public final void rule__XListLiteral__Group_3__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9160:1: ( rule__XListLiteral__Group_3__1__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9161:2: rule__XListLiteral__Group_3__1__Impl\n {\n pushFollow(FOLLOW_rule__XListLiteral__Group_3__1__Impl_in_rule__XListLiteral__Group_3__118811);\n rule__XListLiteral__Group_3__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"f8780825441792e7bf285f85d7b7a37e","score":"0.6735307","text":"public final void rule__XAnnotation__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4150:1: ( rule__XAnnotation__Group__3__Impl )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4151:2: rule__XAnnotation__Group__3__Impl\n {\n pushFollow(FOLLOW_rule__XAnnotation__Group__3__Impl_in_rule__XAnnotation__Group__38904);\n rule__XAnnotation__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"05bd26c78b61f965f1b39daa0bd1fb1d","score":"0.67199624","text":"public final void rule__XSetLiteral__Group_3__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8692:1: ( rule__XSetLiteral__Group_3__1__Impl )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8693:2: rule__XSetLiteral__Group_3__1__Impl\n {\n pushFollow(FOLLOW_rule__XSetLiteral__Group_3__1__Impl_in_rule__XSetLiteral__Group_3__117823);\n rule__XSetLiteral__Group_3__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"af0205c471b1c4627c0298e6556eba34","score":"0.6719506","text":"public final void rule__XVariableDeclaration__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12172:1: ( rule__XVariableDeclaration__Group__3__Impl )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12173:2: rule__XVariableDeclaration__Group__3__Impl\n {\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group__3__Impl_in_rule__XVariableDeclaration__Group__324660);\n rule__XVariableDeclaration__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"5ba718f2402fc42d68727f25823fe2bd","score":"0.67178136","text":"public final void rule__XAnnotation__Group_3__0__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4198:1: ( ( ( '(' ) ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4199:1: ( ( '(' ) )\n {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4199:1: ( ( '(' ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4200:1: ( '(' )\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXAnnotationAccess().getLeftParenthesisKeyword_3_0()); \n }\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4201:1: ( '(' )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4202:2: '('\n {\n match(input,56,FOLLOW_56_in_rule__XAnnotation__Group_3__0__Impl9002); if (state.failed) return ;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXAnnotationAccess().getLeftParenthesisKeyword_3_0()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"c656c5873a94563a4eca2e9cbfc594ed","score":"0.67137533","text":"public final void rule__XTypeLiteral__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13994:1: ( rule__XTypeLiteral__Group__3__Impl rule__XTypeLiteral__Group__4 )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13995:2: rule__XTypeLiteral__Group__3__Impl rule__XTypeLiteral__Group__4\n {\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__3__Impl_in_rule__XTypeLiteral__Group__328247);\n rule__XTypeLiteral__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__4_in_rule__XTypeLiteral__Group__328250);\n rule__XTypeLiteral__Group__4();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"efbe45f765cda219197a9ef04294ab3e","score":"0.6713491","text":"public final void rule__XSetLiteral__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8776:1: ( rule__XSetLiteral__Group__3__Impl rule__XSetLiteral__Group__4 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8777:2: rule__XSetLiteral__Group__3__Impl rule__XSetLiteral__Group__4\n {\n pushFollow(FOLLOW_rule__XSetLiteral__Group__3__Impl_in_rule__XSetLiteral__Group__318061);\n rule__XSetLiteral__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XSetLiteral__Group__4_in_rule__XSetLiteral__Group__318064);\n rule__XSetLiteral__Group__4();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"3dd23032baa66f9c608421e30e272065","score":"0.6702089","text":"public final void rule__XAssignment__Group_0__2() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4703:1: ( rule__XAssignment__Group_0__2__Impl rule__XAssignment__Group_0__3 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4704:2: rule__XAssignment__Group_0__2__Impl rule__XAssignment__Group_0__3\n {\n pushFollow(FOLLOW_rule__XAssignment__Group_0__2__Impl_in_rule__XAssignment__Group_0__210067);\n rule__XAssignment__Group_0__2__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XAssignment__Group_0__3_in_rule__XAssignment__Group_0__210070);\n rule__XAssignment__Group_0__3();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"6fc820efe5d7c5b1d83f31ff791a9502","score":"0.66877615","text":"public final void rule__XVariableDeclaration__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12183:1: ( ( ( rule__XVariableDeclaration__Group_3__0 )? ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12184:1: ( ( rule__XVariableDeclaration__Group_3__0 )? )\n {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12184:1: ( ( rule__XVariableDeclaration__Group_3__0 )? )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12185:1: ( rule__XVariableDeclaration__Group_3__0 )?\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXVariableDeclarationAccess().getGroup_3()); \n }\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12186:1: ( rule__XVariableDeclaration__Group_3__0 )?\n int alt87=2;\n int LA87_0 = input.LA(1);\n\n if ( (LA87_0==13) ) {\n alt87=1;\n }\n switch (alt87) {\n case 1 :\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12186:2: rule__XVariableDeclaration__Group_3__0\n {\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group_3__0_in_rule__XVariableDeclaration__Group__3__Impl24687);\n rule__XVariableDeclaration__Group_3__0();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n break;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXVariableDeclarationAccess().getGroup_3()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"d9deca927d89aca1e5faaec8993c2dc0","score":"0.66863","text":"public final void rule__XCatchClause__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15816:1: ( rule__XCatchClause__Group__3__Impl rule__XCatchClause__Group__4 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15817:2: rule__XCatchClause__Group__3__Impl rule__XCatchClause__Group__4\n {\n pushFollow(FOLLOW_rule__XCatchClause__Group__3__Impl_in_rule__XCatchClause__Group__331896);\n rule__XCatchClause__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XCatchClause__Group__4_in_rule__XCatchClause__Group__331899);\n rule__XCatchClause__Group__4();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"6d2171c49147fca0dfdc24be8ec4f63b","score":"0.6675538","text":"public final void rule__XSetLiteral__Group_3_1__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8937:1: ( rule__XSetLiteral__Group_3_1__1__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8938:2: rule__XSetLiteral__Group_3_1__1__Impl\n {\n pushFollow(FOLLOW_rule__XSetLiteral__Group_3_1__1__Impl_in_rule__XSetLiteral__Group_3_1__118375);\n rule__XSetLiteral__Group_3_1__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"0d44a5f5c42731ca66d3692b31b5ab21","score":"0.6674808","text":"public final void rule__XSynchronizedExpression__Group_0_0__1__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15670:1: ( ( 'synchronized' ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15671:1: ( 'synchronized' )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15671:1: ( 'synchronized' )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15672:1: 'synchronized'\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXSynchronizedExpressionAccess().getSynchronizedKeyword_0_0_1()); \n }\n match(input,81,FOLLOW_81_in_rule__XSynchronizedExpression__Group_0_0__1__Impl31614); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXSynchronizedExpressionAccess().getSynchronizedKeyword_0_0_1()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"65b60233a56d5bbf4c16d707cf4a063b","score":"0.6663589","text":"public final void rule__XAnnotation__Group_3__2__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4257:1: ( ( ')' ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4258:1: ( ')' )\n {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4258:1: ( ')' )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4259:1: ')'\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXAnnotationAccess().getRightParenthesisKeyword_3_2()); \n }\n match(input,57,FOLLOW_57_in_rule__XAnnotation__Group_3__2__Impl9123); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXAnnotationAccess().getRightParenthesisKeyword_3_2()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"16688e681cb29714525be438863639cb","score":"0.6663516","text":"public final void rule__XListLiteral__Group_3_1__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9223:1: ( rule__XListLiteral__Group_3_1__1__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9224:2: rule__XListLiteral__Group_3_1__1__Impl\n {\n pushFollow(FOLLOW_rule__XListLiteral__Group_3_1__1__Impl_in_rule__XListLiteral__Group_3_1__118935);\n rule__XListLiteral__Group_3_1__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"f4b3679ca7c74ac7608fba0d40e8e02b","score":"0.66631466","text":"public final void rule__XVariableDeclaration__Group_3__0__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13178:1: ( ( '=' ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13179:1: ( '=' )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13179:1: ( '=' )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13180:1: '='\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXVariableDeclarationAccess().getEqualsSignKeyword_3_0()); \n }\n match(input,13,FOLLOW_13_in_rule__XVariableDeclaration__Group_3__0__Impl26710); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXVariableDeclarationAccess().getEqualsSignKeyword_3_0()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"329b40e1138207bf8e17648fbd545a43","score":"0.66616225","text":"public final void rule__XAnnotation__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4161:1: ( ( ( rule__XAnnotation__Group_3__0 )? ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4162:1: ( ( rule__XAnnotation__Group_3__0 )? )\n {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4162:1: ( ( rule__XAnnotation__Group_3__0 )? )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4163:1: ( rule__XAnnotation__Group_3__0 )?\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXAnnotationAccess().getGroup_3()); \n }\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4164:1: ( rule__XAnnotation__Group_3__0 )?\n int alt48=2;\n int LA48_0 = input.LA(1);\n\n if ( (LA48_0==56) ) {\n int LA48_1 = input.LA(2);\n\n if ( (synpred85_InternalGuiceModules()) ) {\n alt48=1;\n }\n }\n switch (alt48) {\n case 1 :\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4164:2: rule__XAnnotation__Group_3__0\n {\n pushFollow(FOLLOW_rule__XAnnotation__Group_3__0_in_rule__XAnnotation__Group__3__Impl8931);\n rule__XAnnotation__Group_3__0();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n break;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXAnnotationAccess().getGroup_3()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"0ead01aab9860072d509b463d991c143","score":"0.6635308","text":"public final void rule__XSetLiteral__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8594:1: ( rule__XSetLiteral__Group__3__Impl rule__XSetLiteral__Group__4 )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8595:2: rule__XSetLiteral__Group__3__Impl rule__XSetLiteral__Group__4\n {\n pushFollow(FOLLOW_rule__XSetLiteral__Group__3__Impl_in_rule__XSetLiteral__Group__317633);\n rule__XSetLiteral__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XSetLiteral__Group__4_in_rule__XSetLiteral__Group__317636);\n rule__XSetLiteral__Group__4();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"d637556be3ce32cb3439f77b88c86362","score":"0.6634744","text":"public final void rule__Expression0__Group_3__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../ai.vital.flora2.edit.ui/src-gen/ai/vital/flora2/edit/ui/contentassist/antlr/internal/InternalFlora2Editor.g:3465:1: ( rule__Expression0__Group_3__1__Impl )\n // ../ai.vital.flora2.edit.ui/src-gen/ai/vital/flora2/edit/ui/contentassist/antlr/internal/InternalFlora2Editor.g:3466:2: rule__Expression0__Group_3__1__Impl\n {\n pushFollow(FOLLOW_rule__Expression0__Group_3__1__Impl_in_rule__Expression0__Group_3__17001);\n rule__Expression0__Group_3__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"8185362e375f85d8ebcce9b84ca13164","score":"0.6628843","text":"public final void rule__XBlockExpression__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:11993:1: ( ( '}' ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:11994:1: ( '}' )\n {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:11994:1: ( '}' )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:11995:1: '}'\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXBlockExpressionAccess().getRightCurlyBracketKeyword_3()); \n }\n match(input,49,FOLLOW_49_in_rule__XBlockExpression__Group__3__Impl24314); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXBlockExpressionAccess().getRightCurlyBracketKeyword_3()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"1d978b7aa8436c4e9874f6a4e925d270","score":"0.6595517","text":"public final void rule__Assignment__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.applause.applausedsl.ui/src-gen/org/applause/applausedsl/ui/contentassist/antlr/internal/InternalApplauseDsl.g:5237:1: ( rule__Assignment__Group__3__Impl )\n // ../org.applause.applausedsl.ui/src-gen/org/applause/applausedsl/ui/contentassist/antlr/internal/InternalApplauseDsl.g:5238:2: rule__Assignment__Group__3__Impl\n {\n pushFollow(FOLLOW_rule__Assignment__Group__3__Impl_in_rule__Assignment__Group__310637);\n rule__Assignment__Group__3__Impl();\n _fsp--;\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"b02da9a16f43a0db5c8d9ff21bfb252e","score":"0.65848386","text":"public final void rule__ExclusiveOrExpressionCompletion__Group__1__Impl() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \r\n try {\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22164:1: ( ( ( rule__ExclusiveOrExpressionCompletion__Group_1__0 )* ) )\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22165:1: ( ( rule__ExclusiveOrExpressionCompletion__Group_1__0 )* )\r\n {\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22165:1: ( ( rule__ExclusiveOrExpressionCompletion__Group_1__0 )* )\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22166:1: ( rule__ExclusiveOrExpressionCompletion__Group_1__0 )*\r\n {\r\n if ( state.backtracking==0 ) {\r\n before(grammarAccess.getExclusiveOrExpressionCompletionAccess().getGroup_1()); \r\n }\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22167:1: ( rule__ExclusiveOrExpressionCompletion__Group_1__0 )*\r\n loop169:\r\n do {\r\n int alt169=2;\r\n int LA169_0 = input.LA(1);\r\n\r\n if ( (LA169_0==91) ) {\r\n alt169=1;\r\n }\r\n\r\n\r\n switch (alt169) {\r\n \tcase 1 :\r\n \t // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22167:2: rule__ExclusiveOrExpressionCompletion__Group_1__0\r\n \t {\r\n \t pushFollow(FOLLOW_rule__ExclusiveOrExpressionCompletion__Group_1__0_in_rule__ExclusiveOrExpressionCompletion__Group__1__Impl45565);\r\n \t rule__ExclusiveOrExpressionCompletion__Group_1__0();\r\n\r\n \t state._fsp--;\r\n \t if (state.failed) return ;\r\n\r\n \t }\r\n \t break;\r\n\r\n \tdefault :\r\n \t break loop169;\r\n }\r\n } while (true);\r\n\r\n if ( state.backtracking==0 ) {\r\n after(grammarAccess.getExclusiveOrExpressionCompletionAccess().getGroup_1()); \r\n }\r\n\r\n }\r\n\r\n\r\n }\r\n\r\n }\r\n catch (RecognitionException re) {\r\n reportError(re);\r\n recover(input,re);\r\n }\r\n finally {\r\n\r\n \trestoreStackSize(stackSize);\r\n\r\n }\r\n return ;\r\n }","title":""},{"docid":"4979b4327b5541ad055860826031c028","score":"0.6584808","text":"public final void rule__Assignment__Group_3__2() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3310:1: ( rule__Assignment__Group_3__2__Impl )\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3311:2: rule__Assignment__Group_3__2__Impl\n {\n pushFollow(FOLLOW_rule__Assignment__Group_3__2__Impl_in_rule__Assignment__Group_3__26688);\n rule__Assignment__Group_3__2__Impl();\n\n state._fsp--;\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"11792a8651ece2418fc325ee8de0fb8b","score":"0.6583425","text":"public final void rule__XSetLiteral__Group_3_1__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8755:1: ( rule__XSetLiteral__Group_3_1__1__Impl )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8756:2: rule__XSetLiteral__Group_3_1__1__Impl\n {\n pushFollow(FOLLOW_rule__XSetLiteral__Group_3_1__1__Impl_in_rule__XSetLiteral__Group_3_1__117947);\n rule__XSetLiteral__Group_3_1__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"33415da2b68839f05b2b23a50a14e0e2","score":"0.6581369","text":"public final void rule__Atomic__Group_3__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \t\n try {\n // InternalGoatComponentsParser.g:7206:1: ( rule__Atomic__Group_3__1__Impl )\n // InternalGoatComponentsParser.g:7207:2: rule__Atomic__Group_3__1__Impl\n {\n pushFollow(FOLLOW_2);\n rule__Atomic__Group_3__1__Impl();\n\n state._fsp--;\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"6f6f84ed18e0215774ffbed5559d800a","score":"0.6569529","text":"public final void rule__XBlockExpression__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:9731:1: ( rule__XBlockExpression__Group__3__Impl )\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:9732:2: rule__XBlockExpression__Group__3__Impl\n {\n pushFollow(FOLLOW_rule__XBlockExpression__Group__3__Impl_in_rule__XBlockExpression__Group__319685);\n rule__XBlockExpression__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"3bb443a59d333c23ef6be86f68e366a4","score":"0.6564144","text":"public final void rule__XSetLiteral__Group__2() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8745:1: ( rule__XSetLiteral__Group__2__Impl rule__XSetLiteral__Group__3 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8746:2: rule__XSetLiteral__Group__2__Impl rule__XSetLiteral__Group__3\n {\n pushFollow(FOLLOW_rule__XSetLiteral__Group__2__Impl_in_rule__XSetLiteral__Group__217999);\n rule__XSetLiteral__Group__2__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XSetLiteral__Group__3_in_rule__XSetLiteral__Group__218002);\n rule__XSetLiteral__Group__3();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"7aaad8de96d093f78f3252f4e45d4123","score":"0.65599203","text":"public final void rule__XCatchClause__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:14698:1: ( rule__XCatchClause__Group__3__Impl rule__XCatchClause__Group__4 )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:14699:2: rule__XCatchClause__Group__3__Impl rule__XCatchClause__Group__4\n {\n pushFollow(FOLLOW_rule__XCatchClause__Group__3__Impl_in_rule__XCatchClause__Group__329633);\n rule__XCatchClause__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XCatchClause__Group__4_in_rule__XCatchClause__Group__329636);\n rule__XCatchClause__Group__4();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"5410663bd88d258b95ff7e07712729b0","score":"0.65588987","text":"public final void rule__XVariableDeclaration__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:9921:1: ( rule__XVariableDeclaration__Group__3__Impl )\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:9922:2: rule__XVariableDeclaration__Group__3__Impl\n {\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group__3__Impl_in_rule__XVariableDeclaration__Group__320059);\n rule__XVariableDeclaration__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"2cb0f0c51ebb77ffd510844e8976db81","score":"0.6544944","text":"public final void rule__XVariableDeclaration__Group_3__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12330:1: ( rule__XVariableDeclaration__Group_3__1__Impl )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12331:2: rule__XVariableDeclaration__Group_3__1__Impl\n {\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group_3__1__Impl_in_rule__XVariableDeclaration__Group_3__124968);\n rule__XVariableDeclaration__Group_3__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"4102e3d380767d9189e5116053af26b6","score":"0.65434","text":"public final void rule__Operation__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4337:1: ( ( ( rule__Operation__Group_3__0 )? ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4338:1: ( ( rule__Operation__Group_3__0 )? )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4338:1: ( ( rule__Operation__Group_3__0 )? )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4339:1: ( rule__Operation__Group_3__0 )?\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getOperationAccess().getGroup_3()); \n }\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4340:1: ( rule__Operation__Group_3__0 )?\n int alt49=2;\n int LA49_0 = input.LA(1);\n\n if ( (LA49_0==RULE_ID||LA49_0==31||LA49_0==57) ) {\n alt49=1;\n }\n switch (alt49) {\n case 1 :\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4340:2: rule__Operation__Group_3__0\n {\n pushFollow(FOLLOW_rule__Operation__Group_3__0_in_rule__Operation__Group__3__Impl9353);\n rule__Operation__Group_3__0();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n break;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getOperationAccess().getGroup_3()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"488a0d248e21acb4d639efa5de6a0661","score":"0.6537041","text":"public final void rule__MathFCExpression__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // InternalBehaviordsl.g:12573:1: ( rule__MathFCExpression__Group__3__Impl )\n // InternalBehaviordsl.g:12574:2: rule__MathFCExpression__Group__3__Impl\n {\n pushFollow(FollowSets000.FOLLOW_2);\n rule__MathFCExpression__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"083dabe9e88b96340b844be9b993c3eb","score":"0.6535674","text":"public final void rule__XListLiteral__Group_3__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8978:1: ( rule__XListLiteral__Group_3__1__Impl )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8979:2: rule__XListLiteral__Group_3__1__Impl\n {\n pushFollow(FOLLOW_rule__XListLiteral__Group_3__1__Impl_in_rule__XListLiteral__Group_3__118383);\n rule__XListLiteral__Group_3__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"62efe9f7e1d62edb7ac244e45b927622","score":"0.65334576","text":"public final void rule__XAnnotation__Group_3__2() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4246:1: ( rule__XAnnotation__Group_3__2__Impl )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4247:2: rule__XAnnotation__Group_3__2__Impl\n {\n pushFollow(FOLLOW_rule__XAnnotation__Group_3__2__Impl_in_rule__XAnnotation__Group_3__29095);\n rule__XAnnotation__Group_3__2__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"ac27fef120733034f2beb26fcad09f86","score":"0.65318847","text":"public final void rule__XEqualityExpression__Group__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:5638:1: ( rule__XEqualityExpression__Group__1__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:5639:2: rule__XEqualityExpression__Group__1__Impl\n {\n pushFollow(FOLLOW_rule__XEqualityExpression__Group__1__Impl_in_rule__XEqualityExpression__Group__111900);\n rule__XEqualityExpression__Group__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"4631662e93d4c7d6da4bd6916c2d43e5","score":"0.65272444","text":"public final void rule__XTypeLiteral__Group__2() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14828:1: ( rule__XTypeLiteral__Group__2__Impl rule__XTypeLiteral__Group__3 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14829:2: rule__XTypeLiteral__Group__2__Impl rule__XTypeLiteral__Group__3\n {\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__2__Impl_in_rule__XTypeLiteral__Group__229954);\n rule__XTypeLiteral__Group__2__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__3_in_rule__XTypeLiteral__Group__229957);\n rule__XTypeLiteral__Group__3();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"060cdb65158f7c40940ae971657ef56b","score":"0.6526484","text":"public final void rule__XListLiteral__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9062:1: ( rule__XListLiteral__Group__3__Impl rule__XListLiteral__Group__4 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9063:2: rule__XListLiteral__Group__3__Impl rule__XListLiteral__Group__4\n {\n pushFollow(FOLLOW_rule__XListLiteral__Group__3__Impl_in_rule__XListLiteral__Group__318621);\n rule__XListLiteral__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XListLiteral__Group__4_in_rule__XListLiteral__Group__318624);\n rule__XListLiteral__Group__4();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"bb14b5cb2919b6e9ad2b7328b25a2599","score":"0.65253675","text":"public final void rule__XBlockExpression__Group_2__1__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12060:1: ( ( ( ';' )? ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12061:1: ( ( ';' )? )\n {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12061:1: ( ( ';' )? )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12062:1: ( ';' )?\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXBlockExpressionAccess().getSemicolonKeyword_2_1()); \n }\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12063:1: ( ';' )?\n int alt86=2;\n int LA86_0 = input.LA(1);\n\n if ( (LA86_0==63) ) {\n alt86=1;\n }\n switch (alt86) {\n case 1 :\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12064:2: ';'\n {\n match(input,63,FOLLOW_63_in_rule__XBlockExpression__Group_2__1__Impl24442); if (state.failed) return ;\n\n }\n break;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXBlockExpressionAccess().getSemicolonKeyword_2_1()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"c912b30d0caaa8c05c2bc76b4b060a7c","score":"0.6524578","text":"public final void rule__XBlockExpression__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:12860:1: ( ( '}' ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:12861:1: ( '}' )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:12861:1: ( '}' )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:12862:1: '}'\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXBlockExpressionAccess().getRightCurlyBracketKeyword_3()); \n }\n match(input,53,FOLLOW_53_in_rule__XBlockExpression__Group__3__Impl26087); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXBlockExpressionAccess().getRightCurlyBracketKeyword_3()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"c606340a5644ebf650751468b42eeefa","score":"0.6506191","text":"public final void rule__XSynchronizedExpression__Group__1__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15513:1: ( ( ( rule__XSynchronizedExpression__ParamAssignment_1 ) ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15514:1: ( ( rule__XSynchronizedExpression__ParamAssignment_1 ) )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15514:1: ( ( rule__XSynchronizedExpression__ParamAssignment_1 ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15515:1: ( rule__XSynchronizedExpression__ParamAssignment_1 )\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXSynchronizedExpressionAccess().getParamAssignment_1()); \n }\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15516:1: ( rule__XSynchronizedExpression__ParamAssignment_1 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15516:2: rule__XSynchronizedExpression__ParamAssignment_1\n {\n pushFollow(FOLLOW_rule__XSynchronizedExpression__ParamAssignment_1_in_rule__XSynchronizedExpression__Group__1__Impl31306);\n rule__XSynchronizedExpression__ParamAssignment_1();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXSynchronizedExpressionAccess().getParamAssignment_1()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"29f7f897da4f4dcb0f594381d489ee6f","score":"0.650528","text":"public final void rule__XSetLiteral__Group__2() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8563:1: ( rule__XSetLiteral__Group__2__Impl rule__XSetLiteral__Group__3 )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8564:2: rule__XSetLiteral__Group__2__Impl rule__XSetLiteral__Group__3\n {\n pushFollow(FOLLOW_rule__XSetLiteral__Group__2__Impl_in_rule__XSetLiteral__Group__217571);\n rule__XSetLiteral__Group__2__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XSetLiteral__Group__3_in_rule__XSetLiteral__Group__217574);\n rule__XSetLiteral__Group__3();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"d38cab4d150e7fca1c730cbf2bf5ec10","score":"0.64999795","text":"public final void rule__XSynchronizedExpression__ExpressionAssignment_3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:20234:1: ( ( ruleXExpression ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:20235:1: ( ruleXExpression )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:20235:1: ( ruleXExpression )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:20236:1: ruleXExpression\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXSynchronizedExpressionAccess().getExpressionXExpressionParserRuleCall_3_0()); \n }\n pushFollow(FOLLOW_ruleXExpression_in_rule__XSynchronizedExpression__ExpressionAssignment_340745);\n ruleXExpression();\n\n state._fsp--;\n if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXSynchronizedExpressionAccess().getExpressionXExpressionParserRuleCall_3_0()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"93071ac9216f30736765938dd2af1619","score":"0.6498403","text":"public final void synpred3_InternalGuiceModules_fragment() throws RecognitionException { \n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:2269:1: ( ( ( rule__XAnnotation__Group_3_1_0__0 ) ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:2269:1: ( ( rule__XAnnotation__Group_3_1_0__0 ) )\n {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:2269:1: ( ( rule__XAnnotation__Group_3_1_0__0 ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:2270:1: ( rule__XAnnotation__Group_3_1_0__0 )\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXAnnotationAccess().getGroup_3_1_0()); \n }\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:2271:1: ( rule__XAnnotation__Group_3_1_0__0 )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:2271:2: rule__XAnnotation__Group_3_1_0__0\n {\n pushFollow(FOLLOW_rule__XAnnotation__Group_3_1_0__0_in_synpred3_InternalGuiceModules4781);\n rule__XAnnotation__Group_3_1_0__0();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n\n }\n\n\n }\n }","title":""},{"docid":"e6671b5ffce44b3beb23958b39acd54b","score":"0.6494848","text":"public final void rule__XCatchClause__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:14710:1: ( ( ')' ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:14711:1: ( ')' )\n {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:14711:1: ( ')' )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:14712:1: ')'\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXCatchClauseAccess().getRightParenthesisKeyword_3()); \n }\n match(input,57,FOLLOW_57_in_rule__XCatchClause__Group__3__Impl29664); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXCatchClauseAccess().getRightParenthesisKeyword_3()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"cedabd53c357e17d5c7277eedb889663","score":"0.64869297","text":"public final void rule__XListLiteral__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9074:1: ( ( ( rule__XListLiteral__Group_3__0 )? ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9075:1: ( ( rule__XListLiteral__Group_3__0 )? )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9075:1: ( ( rule__XListLiteral__Group_3__0 )? )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9076:1: ( rule__XListLiteral__Group_3__0 )?\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXListLiteralAccess().getGroup_3()); \n }\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9077:1: ( rule__XListLiteral__Group_3__0 )?\n int alt72=2;\n int LA72_0 = input.LA(1);\n\n if ( ((LA72_0>=RULE_ID && LA72_0<=RULE_STRING)||LA72_0==27||(LA72_0>=34 && LA72_0<=35)||LA72_0==40||(LA72_0>=45 && LA72_0<=50)||LA72_0==52||LA72_0==57||(LA72_0>=62 && LA72_0<=63)||LA72_0==66||LA72_0==68||(LA72_0>=71 && LA72_0<=79)||LA72_0==81||LA72_0==89) ) {\n alt72=1;\n }\n switch (alt72) {\n case 1 :\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9077:2: rule__XListLiteral__Group_3__0\n {\n pushFollow(FOLLOW_rule__XListLiteral__Group_3__0_in_rule__XListLiteral__Group__3__Impl18651);\n rule__XListLiteral__Group_3__0();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n break;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXListLiteralAccess().getGroup_3()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"8306d9001ee3f5b95e02f9fadfcfc412","score":"0.64830196","text":"public final void rule__XAssignment__Group_0__2() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4936:1: ( rule__XAssignment__Group_0__2__Impl rule__XAssignment__Group_0__3 )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4937:2: rule__XAssignment__Group_0__2__Impl rule__XAssignment__Group_0__3\n {\n pushFollow(FOLLOW_rule__XAssignment__Group_0__2__Impl_in_rule__XAssignment__Group_0__210447);\n rule__XAssignment__Group_0__2__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XAssignment__Group_0__3_in_rule__XAssignment__Group_0__210450);\n rule__XAssignment__Group_0__3();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"0d365c031667a37fa6c30ea7e7531c09","score":"0.6481277","text":"public final void rule__XSetLiteral__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8788:1: ( ( ( rule__XSetLiteral__Group_3__0 )? ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8789:1: ( ( rule__XSetLiteral__Group_3__0 )? )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8789:1: ( ( rule__XSetLiteral__Group_3__0 )? )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8790:1: ( rule__XSetLiteral__Group_3__0 )?\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXSetLiteralAccess().getGroup_3()); \n }\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8791:1: ( rule__XSetLiteral__Group_3__0 )?\n int alt70=2;\n int LA70_0 = input.LA(1);\n\n if ( ((LA70_0>=RULE_ID && LA70_0<=RULE_STRING)||LA70_0==27||(LA70_0>=34 && LA70_0<=35)||LA70_0==40||(LA70_0>=45 && LA70_0<=50)||LA70_0==52||LA70_0==57||(LA70_0>=62 && LA70_0<=63)||LA70_0==66||LA70_0==68||(LA70_0>=71 && LA70_0<=79)||LA70_0==81||LA70_0==89) ) {\n alt70=1;\n }\n switch (alt70) {\n case 1 :\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8791:2: rule__XSetLiteral__Group_3__0\n {\n pushFollow(FOLLOW_rule__XSetLiteral__Group_3__0_in_rule__XSetLiteral__Group__3__Impl18091);\n rule__XSetLiteral__Group_3__0();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n break;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXSetLiteralAccess().getGroup_3()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"da878a1ff2293c02bb2c74fac58b25fa","score":"0.6477814","text":"public final void rule__Tuple__Group__3() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \r\n try {\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:16789:1: ( rule__Tuple__Group__3__Impl )\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:16790:2: rule__Tuple__Group__3__Impl\r\n {\r\n pushFollow(FOLLOW_rule__Tuple__Group__3__Impl_in_rule__Tuple__Group__334967);\r\n rule__Tuple__Group__3__Impl();\r\n\r\n state._fsp--;\r\n if (state.failed) return ;\r\n\r\n }\r\n\r\n }\r\n catch (RecognitionException re) {\r\n reportError(re);\r\n recover(input,re);\r\n }\r\n finally {\r\n\r\n \trestoreStackSize(stackSize);\r\n\r\n }\r\n return ;\r\n }","title":""},{"docid":"7aa3eab394cf1e8a20bd5b53ab8385d8","score":"0.64754254","text":"public final void rule__Operation__Group_3__1__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4496:1: ( ( ( rule__Operation__Group_3_1__0 )* ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4497:1: ( ( rule__Operation__Group_3_1__0 )* )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4497:1: ( ( rule__Operation__Group_3_1__0 )* )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4498:1: ( rule__Operation__Group_3_1__0 )*\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getOperationAccess().getGroup_3_1()); \n }\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4499:1: ( rule__Operation__Group_3_1__0 )*\n loop51:\n do {\n int alt51=2;\n int LA51_0 = input.LA(1);\n\n if ( (LA51_0==59) ) {\n alt51=1;\n }\n\n\n switch (alt51) {\n \tcase 1 :\n \t // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4499:2: rule__Operation__Group_3_1__0\n \t {\n \t pushFollow(FOLLOW_rule__Operation__Group_3_1__0_in_rule__Operation__Group_3__1__Impl9665);\n \t rule__Operation__Group_3_1__0();\n\n \t state._fsp--;\n \t if (state.failed) return ;\n\n \t }\n \t break;\n\n \tdefault :\n \t break loop51;\n }\n } while (true);\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getOperationAccess().getGroup_3_1()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"b7a9129b822527dac2f37b5e651927ab","score":"0.64723635","text":"public final void rule__XCatchClause__Group__2() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15787:1: ( rule__XCatchClause__Group__2__Impl rule__XCatchClause__Group__3 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15788:2: rule__XCatchClause__Group__2__Impl rule__XCatchClause__Group__3\n {\n pushFollow(FOLLOW_rule__XCatchClause__Group__2__Impl_in_rule__XCatchClause__Group__231836);\n rule__XCatchClause__Group__2__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XCatchClause__Group__3_in_rule__XCatchClause__Group__231839);\n rule__XCatchClause__Group__3();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"f2081fc386a732ec7c8ac87f04090543","score":"0.6464927","text":"public final void rule__XEqualityExpression__Group_1__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:5699:1: ( rule__XEqualityExpression__Group_1__1__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:5700:2: rule__XEqualityExpression__Group_1__1__Impl\n {\n pushFollow(FOLLOW_rule__XEqualityExpression__Group_1__1__Impl_in_rule__XEqualityExpression__Group_1__112022);\n rule__XEqualityExpression__Group_1__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"8f4ee9938fec019dcefc6e738acc12aa","score":"0.64636016","text":"public final void rule__ExclusiveOrExpression__Group__1__Impl() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \r\n try {\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22103:1: ( ( ( rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1 ) ) )\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22104:1: ( ( rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1 ) )\r\n {\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22104:1: ( ( rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1 ) )\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22105:1: ( rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1 )\r\n {\r\n if ( state.backtracking==0 ) {\r\n before(grammarAccess.getExclusiveOrExpressionAccess().getExclusiveOrExpressionCompletionAssignment_1()); \r\n }\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22106:1: ( rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1 )\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22106:2: rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1\r\n {\r\n pushFollow(FOLLOW_rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1_in_rule__ExclusiveOrExpression__Group__1__Impl45444);\r\n rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1();\r\n\r\n state._fsp--;\r\n if (state.failed) return ;\r\n\r\n }\r\n\r\n if ( state.backtracking==0 ) {\r\n after(grammarAccess.getExclusiveOrExpressionAccess().getExclusiveOrExpressionCompletionAssignment_1()); \r\n }\r\n\r\n }\r\n\r\n\r\n }\r\n\r\n }\r\n catch (RecognitionException re) {\r\n reportError(re);\r\n recover(input,re);\r\n }\r\n finally {\r\n\r\n \trestoreStackSize(stackSize);\r\n\r\n }\r\n return ;\r\n }","title":""},{"docid":"227430e51569fcd2780771061d160015","score":"0.64548874","text":"public final void rule__Assignment__Group_3__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3279:1: ( rule__Assignment__Group_3__1__Impl rule__Assignment__Group_3__2 )\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3280:2: rule__Assignment__Group_3__1__Impl rule__Assignment__Group_3__2\n {\n pushFollow(FOLLOW_rule__Assignment__Group_3__1__Impl_in_rule__Assignment__Group_3__16626);\n rule__Assignment__Group_3__1__Impl();\n\n state._fsp--;\n\n pushFollow(FOLLOW_rule__Assignment__Group_3__2_in_rule__Assignment__Group_3__16629);\n rule__Assignment__Group_3__2();\n\n state._fsp--;\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"b7464e6dea8c1dd8cc51ef0c8a63e768","score":"0.6451611","text":"public final void rule__XListLiteral__Group_3__1__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9171:1: ( ( ( rule__XListLiteral__Group_3_1__0 )* ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9172:1: ( ( rule__XListLiteral__Group_3_1__0 )* )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9172:1: ( ( rule__XListLiteral__Group_3_1__0 )* )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9173:1: ( rule__XListLiteral__Group_3_1__0 )*\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXListLiteralAccess().getGroup_3_1()); \n }\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9174:1: ( rule__XListLiteral__Group_3_1__0 )*\n loop73:\n do {\n int alt73=2;\n int LA73_0 = input.LA(1);\n\n if ( (LA73_0==59) ) {\n alt73=1;\n }\n\n\n switch (alt73) {\n \tcase 1 :\n \t // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9174:2: rule__XListLiteral__Group_3_1__0\n \t {\n \t pushFollow(FOLLOW_rule__XListLiteral__Group_3_1__0_in_rule__XListLiteral__Group_3__1__Impl18838);\n \t rule__XListLiteral__Group_3_1__0();\n\n \t state._fsp--;\n \t if (state.failed) return ;\n\n \t }\n \t break;\n\n \tdefault :\n \t break loop73;\n }\n } while (true);\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXListLiteralAccess().getGroup_3_1()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"90b1101865dc5ecc72469ba983c91a53","score":"0.64458835","text":"public final void rule__XListLiteral__Group_3_1__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:9041:1: ( rule__XListLiteral__Group_3_1__1__Impl )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:9042:2: rule__XListLiteral__Group_3_1__1__Impl\n {\n pushFollow(FOLLOW_rule__XListLiteral__Group_3_1__1__Impl_in_rule__XListLiteral__Group_3_1__118507);\n rule__XListLiteral__Group_3_1__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"d714f67c584ce3013eab84fa79e0133e","score":"0.64437217","text":"public final void rule__SpaceFCExpression__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // InternalBehaviordsl.g:10123:1: ( rule__SpaceFCExpression__Group__3__Impl )\n // InternalBehaviordsl.g:10124:2: rule__SpaceFCExpression__Group__3__Impl\n {\n pushFollow(FollowSets000.FOLLOW_2);\n rule__SpaceFCExpression__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"0aae3d056d3506c89f7552bc0cf24412","score":"0.6443541","text":"public final void rule__XTypeLiteral__Group__2__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14840:1: ( ( '(' ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14841:1: ( '(' )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14841:1: ( '(' )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14842:1: '('\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXTypeLiteralAccess().getLeftParenthesisKeyword_2()); \n }\n match(input,57,FOLLOW_57_in_rule__XTypeLiteral__Group__2__Impl29985); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXTypeLiteralAccess().getLeftParenthesisKeyword_2()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"5bed75730855107c4b48658edf5c063c","score":"0.6442256","text":"public final void rule__XAssignment__Group_1_1__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4858:1: ( rule__XAssignment__Group_1_1__1__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4859:2: rule__XAssignment__Group_1_1__1__Impl\n {\n pushFollow(FOLLOW_rule__XAssignment__Group_1_1__1__Impl_in_rule__XAssignment__Group_1_1__110372);\n rule__XAssignment__Group_1_1__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"a27e9483792ac1f35a263f2c7273d283","score":"0.6441999","text":"public final void rule__XAssignment__Group_1__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4797:1: ( rule__XAssignment__Group_1__1__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4798:2: rule__XAssignment__Group_1__1__Impl\n {\n pushFollow(FOLLOW_rule__XAssignment__Group_1__1__Impl_in_rule__XAssignment__Group_1__110250);\n rule__XAssignment__Group_1__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"3214302864ef54d3232bbfbd46416047","score":"0.6432064","text":"public final void rule__XSwitchExpression__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:10599:1: ( rule__XSwitchExpression__Group__3__Impl rule__XSwitchExpression__Group__4 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:10600:2: rule__XSwitchExpression__Group__3__Impl rule__XSwitchExpression__Group__4\n {\n pushFollow(FOLLOW_rule__XSwitchExpression__Group__3__Impl_in_rule__XSwitchExpression__Group__321645);\n rule__XSwitchExpression__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XSwitchExpression__Group__4_in_rule__XSwitchExpression__Group__321648);\n rule__XSwitchExpression__Group__4();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"134f6f8ec96a151c1fb23f8fc40dd3c4","score":"0.64255357","text":"public final void rule__Atomic__Group_6__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \t\n try {\n // InternalGoatComponentsParser.g:7665:1: ( rule__Atomic__Group_6__3__Impl )\n // InternalGoatComponentsParser.g:7666:2: rule__Atomic__Group_6__3__Impl\n {\n pushFollow(FOLLOW_2);\n rule__Atomic__Group_6__3__Impl();\n\n state._fsp--;\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"72e658dbe4233f9de4d5c575511892e6","score":"0.64239395","text":"public final void rule__ExclusiveOrExpressionCompletion__Group__1() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \r\n try {\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22153:1: ( rule__ExclusiveOrExpressionCompletion__Group__1__Impl )\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22154:2: rule__ExclusiveOrExpressionCompletion__Group__1__Impl\r\n {\r\n pushFollow(FOLLOW_rule__ExclusiveOrExpressionCompletion__Group__1__Impl_in_rule__ExclusiveOrExpressionCompletion__Group__145538);\r\n rule__ExclusiveOrExpressionCompletion__Group__1__Impl();\r\n\r\n state._fsp--;\r\n if (state.failed) return ;\r\n\r\n }\r\n\r\n }\r\n catch (RecognitionException re) {\r\n reportError(re);\r\n recover(input,re);\r\n }\r\n finally {\r\n\r\n \trestoreStackSize(stackSize);\r\n\r\n }\r\n return ;\r\n }","title":""},{"docid":"7ef7b184dde0085a3d8d2cdb53328351","score":"0.64230233","text":"public final void rule__XTypeLiteral__Group__2__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13975:1: ( ( '(' ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13976:1: ( '(' )\n {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13976:1: ( '(' )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13977:1: '('\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXTypeLiteralAccess().getLeftParenthesisKeyword_2()); \n }\n match(input,56,FOLLOW_56_in_rule__XTypeLiteral__Group__2__Impl28216); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXTypeLiteralAccess().getLeftParenthesisKeyword_2()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"ff1700508e37eea522dbc1ea59b32438","score":"0.6420546","text":"public final void rule__XCatchClause__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15828:1: ( ( ')' ) )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15829:1: ( ')' )\n {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15829:1: ( ')' )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15830:1: ')'\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXCatchClauseAccess().getRightParenthesisKeyword_3()); \n }\n match(input,58,FOLLOW_58_in_rule__XCatchClause__Group__3__Impl31927); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXCatchClauseAccess().getRightParenthesisKeyword_3()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"6a726201a0f6d81490cc16dc43e6adf3","score":"0.6419447","text":"public final void rule__XVariableDeclaration__Group_3__0__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:10060:1: ( ( '=' ) )\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:10061:1: ( '=' )\n {\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:10061:1: ( '=' )\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:10062:1: '='\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXVariableDeclarationAccess().getEqualsSignKeyword_3_0()); \n }\n match(input,13,FOLLOW_13_in_rule__XVariableDeclaration__Group_3__0__Impl20336); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXVariableDeclarationAccess().getEqualsSignKeyword_3_0()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"f53d17df25c5fcc0b155a52466ba4e91","score":"0.64163214","text":"public final void rule__XVariableDeclaration__Group_3__0() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13166:1: ( rule__XVariableDeclaration__Group_3__0__Impl rule__XVariableDeclaration__Group_3__1 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13167:2: rule__XVariableDeclaration__Group_3__0__Impl rule__XVariableDeclaration__Group_3__1\n {\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group_3__0__Impl_in_rule__XVariableDeclaration__Group_3__026679);\n rule__XVariableDeclaration__Group_3__0__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group_3__1_in_rule__XVariableDeclaration__Group_3__026682);\n rule__XVariableDeclaration__Group_3__1();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"f3eef472ed6a8d481482ee74a5286a80","score":"0.6413273","text":"public final void rule__TermExpr__Group_3_1_1__1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // InternalSafetyParser.g:28209:1: ( rule__TermExpr__Group_3_1_1__1__Impl )\n // InternalSafetyParser.g:28210:2: rule__TermExpr__Group_3_1_1__1__Impl\n {\n pushFollow(FollowSets000.FOLLOW_2);\n rule__TermExpr__Group_3_1_1__1__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"06695cf3797e540c44b3db93db81d9f4","score":"0.6412166","text":"public final void rule__Assignment__Group_3__1__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3291:1: ( ( '=' ) )\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3292:1: ( '=' )\n {\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3292:1: ( '=' )\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3293:1: '='\n {\n before(grammarAccess.getAssignmentAccess().getEqualsSignKeyword_3_1()); \n match(input,25,FOLLOW_25_in_rule__Assignment__Group_3__1__Impl6657); \n after(grammarAccess.getAssignmentAccess().getEqualsSignKeyword_3_1()); \n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"9824e0e943d3385c6d9ffd7e82c4fa17","score":"0.64058334","text":"public final void rule__XVariableDeclaration__Group__2() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13010:1: ( rule__XVariableDeclaration__Group__2__Impl rule__XVariableDeclaration__Group__3 )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13011:2: rule__XVariableDeclaration__Group__2__Impl rule__XVariableDeclaration__Group__3\n {\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group__2__Impl_in_rule__XVariableDeclaration__Group__226373);\n rule__XVariableDeclaration__Group__2__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group__3_in_rule__XVariableDeclaration__Group__226376);\n rule__XVariableDeclaration__Group__3();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"f5711d1283b9acf5de38301162ac9f72","score":"0.6403485","text":"public final void rule__ExclusiveOrExpressionCompletion__Group_1__1() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \r\n try {\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22216:1: ( rule__ExclusiveOrExpressionCompletion__Group_1__1__Impl )\r\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22217:2: rule__ExclusiveOrExpressionCompletion__Group_1__1__Impl\r\n {\r\n pushFollow(FOLLOW_rule__ExclusiveOrExpressionCompletion__Group_1__1__Impl_in_rule__ExclusiveOrExpressionCompletion__Group_1__145662);\r\n rule__ExclusiveOrExpressionCompletion__Group_1__1__Impl();\r\n\r\n state._fsp--;\r\n if (state.failed) return ;\r\n\r\n }\r\n\r\n }\r\n catch (RecognitionException re) {\r\n reportError(re);\r\n recover(input,re);\r\n }\r\n finally {\r\n\r\n \trestoreStackSize(stackSize);\r\n\r\n }\r\n return ;\r\n }","title":""},{"docid":"47b04371fc083364efc3e74d4822641a","score":"0.6401342","text":"public final void rule__XSetLiteral__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8606:1: ( ( ( rule__XSetLiteral__Group_3__0 )? ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8607:1: ( ( rule__XSetLiteral__Group_3__0 )? )\n {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8607:1: ( ( rule__XSetLiteral__Group_3__0 )? )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8608:1: ( rule__XSetLiteral__Group_3__0 )?\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXSetLiteralAccess().getGroup_3()); \n }\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8609:1: ( rule__XSetLiteral__Group_3__0 )?\n int alt68=2;\n int LA68_0 = input.LA(1);\n\n if ( ((LA68_0>=RULE_ID && LA68_0<=RULE_STRING)||LA68_0==25||(LA68_0>=33 && LA68_0<=34)||LA68_0==39||(LA68_0>=42 && LA68_0<=48)||LA68_0==56||(LA68_0>=59 && LA68_0<=60)||LA68_0==64||LA68_0==66||(LA68_0>=70 && LA68_0<=78)||LA68_0==87) ) {\n alt68=1;\n }\n switch (alt68) {\n case 1 :\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8609:2: rule__XSetLiteral__Group_3__0\n {\n pushFollow(FOLLOW_rule__XSetLiteral__Group_3__0_in_rule__XSetLiteral__Group__3__Impl17663);\n rule__XSetLiteral__Group_3__0();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n break;\n\n }\n\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXSetLiteralAccess().getGroup_3()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"050b74a8e380b92287ef32c1071deb75","score":"0.6399743","text":"public final void rule__XSetLiteral__Group__4__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8634:1: ( ( '}' ) )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8635:1: ( '}' )\n {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8635:1: ( '}' )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8636:1: '}'\n {\n if ( state.backtracking==0 ) {\n before(grammarAccess.getXSetLiteralAccess().getRightCurlyBracketKeyword_4()); \n }\n match(input,49,FOLLOW_49_in_rule__XSetLiteral__Group__4__Impl17722); if (state.failed) return ;\n if ( state.backtracking==0 ) {\n after(grammarAccess.getXSetLiteralAccess().getRightCurlyBracketKeyword_4()); \n }\n\n }\n\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"7fffcbb0cc502da68e8f3ec19768e826","score":"0.63934803","text":"public final void rule__XClosure__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9342:1: ( rule__XClosure__Group__3__Impl )\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9343:2: rule__XClosure__Group__3__Impl\n {\n pushFollow(FOLLOW_rule__XClosure__Group__3__Impl_in_rule__XClosure__Group__319177);\n rule__XClosure__Group__3__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""},{"docid":"abb54025e85ce4e73e96f0c41ed85a29","score":"0.63912976","text":"public final void rule__XTypeLiteral__Group__2() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13963:1: ( rule__XTypeLiteral__Group__2__Impl rule__XTypeLiteral__Group__3 )\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13964:2: rule__XTypeLiteral__Group__2__Impl rule__XTypeLiteral__Group__3\n {\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__2__Impl_in_rule__XTypeLiteral__Group__228185);\n rule__XTypeLiteral__Group__2__Impl();\n\n state._fsp--;\n if (state.failed) return ;\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__3_in_rule__XTypeLiteral__Group__228188);\n rule__XTypeLiteral__Group__3();\n\n state._fsp--;\n if (state.failed) return ;\n\n }\n\n }\n catch (RecognitionException re) {\n reportError(re);\n recover(input,re);\n }\n finally {\n\n \trestoreStackSize(stackSize);\n\n }\n return ;\n }","title":""}],"string":"[\n {\n \"docid\": \"1047040d7ff4750d45c1f992e612423c\",\n \"score\": \"0.8164058\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15561:1: ( rule__XSynchronizedExpression__Group__3__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15562:2: rule__XSynchronizedExpression__Group__3__Impl\\n {\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__3__Impl_in_rule__XSynchronizedExpression__Group__331398);\\n rule__XSynchronizedExpression__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"58bb13c0acd961ef3d509a047a6d11e9\",\n \"score\": \"0.77392083\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group__2() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15530:1: ( rule__XSynchronizedExpression__Group__2__Impl rule__XSynchronizedExpression__Group__3 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15531:2: rule__XSynchronizedExpression__Group__2__Impl rule__XSynchronizedExpression__Group__3\\n {\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__2__Impl_in_rule__XSynchronizedExpression__Group__231336);\\n rule__XSynchronizedExpression__Group__2__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__3_in_rule__XSynchronizedExpression__Group__231339);\\n rule__XSynchronizedExpression__Group__3();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d1fbd4ce71506c5db1f7ddd96b4449c2\",\n \"score\": \"0.7385258\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group__2__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15542:1: ( ( ')' ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15543:1: ( ')' )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15543:1: ( ')' )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15544:1: ')'\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXSynchronizedExpressionAccess().getRightParenthesisKeyword_2()); \\n }\\n match(input,58,FOLLOW_58_in_rule__XSynchronizedExpression__Group__2__Impl31367); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXSynchronizedExpressionAccess().getRightParenthesisKeyword_2()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9379ec4d7a9761f15e71d7d513675eae\",\n \"score\": \"0.7334722\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group_0_0__0__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15639:1: ( ( () ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15640:1: ( () )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15640:1: ( () )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15641:1: ()\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXSynchronizedExpressionAccess().getXSynchronizedExpressionAction_0_0_0()); \\n }\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15642:1: ()\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15644:1: \\n {\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXSynchronizedExpressionAccess().getXSynchronizedExpressionAction_0_0_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd11d4f86b1e270ab7e466ada62ee8fa\",\n \"score\": \"0.7328437\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group_0_0__2__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15700:1: ( ( '(' ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15701:1: ( '(' )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15701:1: ( '(' )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15702:1: '('\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXSynchronizedExpressionAccess().getLeftParenthesisKeyword_0_0_2()); \\n }\\n match(input,57,FOLLOW_57_in_rule__XSynchronizedExpression__Group_0_0__2__Impl31673); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXSynchronizedExpressionAccess().getLeftParenthesisKeyword_0_0_2()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5b780cc0977f339a5312cbd8a2b52f5b\",\n \"score\": \"0.73143697\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group_0__0__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15608:1: ( ( ( rule__XSynchronizedExpression__Group_0_0__0 ) ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15609:1: ( ( rule__XSynchronizedExpression__Group_0_0__0 ) )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15609:1: ( ( rule__XSynchronizedExpression__Group_0_0__0 ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15610:1: ( rule__XSynchronizedExpression__Group_0_0__0 )\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXSynchronizedExpressionAccess().getGroup_0_0()); \\n }\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15611:1: ( rule__XSynchronizedExpression__Group_0_0__0 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15611:2: rule__XSynchronizedExpression__Group_0_0__0\\n {\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0_0__0_in_rule__XSynchronizedExpression__Group_0__0__Impl31490);\\n rule__XSynchronizedExpression__Group_0_0__0();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXSynchronizedExpressionAccess().getGroup_0_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"75f66bdfa58ca6f76a9ff0dc30729879\",\n \"score\": \"0.7252442\",\n \"text\": \"public final void ruleXSynchronizedExpression() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:1872:2: ( ( ( rule__XSynchronizedExpression__Group__0 ) ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:1873:1: ( ( rule__XSynchronizedExpression__Group__0 ) )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:1873:1: ( ( rule__XSynchronizedExpression__Group__0 ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:1874:1: ( rule__XSynchronizedExpression__Group__0 )\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXSynchronizedExpressionAccess().getGroup()); \\n }\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:1875:1: ( rule__XSynchronizedExpression__Group__0 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:1875:2: rule__XSynchronizedExpression__Group__0\\n {\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__0_in_ruleXSynchronizedExpression3945);\\n rule__XSynchronizedExpression__Group__0();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXSynchronizedExpressionAccess().getGroup()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d7338d3d054a8690b26bc81b70825d8\",\n \"score\": \"0.7215714\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15501:1: ( rule__XSynchronizedExpression__Group__1__Impl rule__XSynchronizedExpression__Group__2 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15502:2: rule__XSynchronizedExpression__Group__1__Impl rule__XSynchronizedExpression__Group__2\\n {\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__1__Impl_in_rule__XSynchronizedExpression__Group__131276);\\n rule__XSynchronizedExpression__Group__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__2_in_rule__XSynchronizedExpression__Group__131279);\\n rule__XSynchronizedExpression__Group__2();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ad6f0bdcbf68ff4f31cbc8754a871378\",\n \"score\": \"0.7185153\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group__0__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15484:1: ( ( ( rule__XSynchronizedExpression__Group_0__0 ) ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15485:1: ( ( rule__XSynchronizedExpression__Group_0__0 ) )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15485:1: ( ( rule__XSynchronizedExpression__Group_0__0 ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15486:1: ( rule__XSynchronizedExpression__Group_0__0 )\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXSynchronizedExpressionAccess().getGroup_0()); \\n }\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15487:1: ( rule__XSynchronizedExpression__Group_0__0 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15487:2: rule__XSynchronizedExpression__Group_0__0\\n {\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0__0_in_rule__XSynchronizedExpression__Group__0__Impl31246);\\n rule__XSynchronizedExpression__Group_0__0();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXSynchronizedExpressionAccess().getGroup_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3eb87c09be8a41178c9945df1d774e08\",\n \"score\": \"0.7148092\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group_0_0__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15658:1: ( rule__XSynchronizedExpression__Group_0_0__1__Impl rule__XSynchronizedExpression__Group_0_0__2 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15659:2: rule__XSynchronizedExpression__Group_0_0__1__Impl rule__XSynchronizedExpression__Group_0_0__2\\n {\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0_0__1__Impl_in_rule__XSynchronizedExpression__Group_0_0__131583);\\n rule__XSynchronizedExpression__Group_0_0__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0_0__2_in_rule__XSynchronizedExpression__Group_0_0__131586);\\n rule__XSynchronizedExpression__Group_0_0__2();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"99f5a5f68fb515a860fa31951c2b2886\",\n \"score\": \"0.71410453\",\n \"text\": \"public final void rule__XAssignment__Group_0__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4732:1: ( rule__XAssignment__Group_0__3__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4733:2: rule__XAssignment__Group_0__3__Impl\\n {\\n pushFollow(FOLLOW_rule__XAssignment__Group_0__3__Impl_in_rule__XAssignment__Group_0__310126);\\n rule__XAssignment__Group_0__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b5472d57f7edeb431863eeac57435c5f\",\n \"score\": \"0.7134221\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group_0_0__2() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15689:1: ( rule__XSynchronizedExpression__Group_0_0__2__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15690:2: rule__XSynchronizedExpression__Group_0_0__2__Impl\\n {\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0_0__2__Impl_in_rule__XSynchronizedExpression__Group_0_0__231645);\\n rule__XSynchronizedExpression__Group_0_0__2__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"37030906984f052b8c95e25cfaeb02a1\",\n \"score\": \"0.70857286\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group__0() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15472:1: ( rule__XSynchronizedExpression__Group__0__Impl rule__XSynchronizedExpression__Group__1 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15473:2: rule__XSynchronizedExpression__Group__0__Impl rule__XSynchronizedExpression__Group__1\\n {\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__0__Impl_in_rule__XSynchronizedExpression__Group__031216);\\n rule__XSynchronizedExpression__Group__0__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group__1_in_rule__XSynchronizedExpression__Group__031219);\\n rule__XSynchronizedExpression__Group__1();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"21d7c414c4c9a0bc32307e968d9969cc\",\n \"score\": \"0.69212943\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group_0__0() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15597:1: ( rule__XSynchronizedExpression__Group_0__0__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15598:2: rule__XSynchronizedExpression__Group_0__0__Impl\\n {\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0__0__Impl_in_rule__XSynchronizedExpression__Group_0__031463);\\n rule__XSynchronizedExpression__Group_0__0__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fd1888988f4dd1726b22696fd84e496c\",\n \"score\": \"0.6916064\",\n \"text\": \"public final void rule__XVariableDeclaration__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13039:1: ( rule__XVariableDeclaration__Group__3__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13040:2: rule__XVariableDeclaration__Group__3__Impl\\n {\\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group__3__Impl_in_rule__XVariableDeclaration__Group__326433);\\n rule__XVariableDeclaration__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8582a9a01603a3da896495c19ee77c0a\",\n \"score\": \"0.69051856\",\n \"text\": \"public final void rule__XAssignment__Group_0__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4965:1: ( rule__XAssignment__Group_0__3__Impl )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4966:2: rule__XAssignment__Group_0__3__Impl\\n {\\n pushFollow(FOLLOW_rule__XAssignment__Group_0__3__Impl_in_rule__XAssignment__Group_0__310506);\\n rule__XAssignment__Group_0__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4f132b89e8b2ee09c80a70d7cfcb563f\",\n \"score\": \"0.6873854\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group_0_0__0() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15627:1: ( rule__XSynchronizedExpression__Group_0_0__0__Impl rule__XSynchronizedExpression__Group_0_0__1 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15628:2: rule__XSynchronizedExpression__Group_0_0__0__Impl rule__XSynchronizedExpression__Group_0_0__1\\n {\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0_0__0__Impl_in_rule__XSynchronizedExpression__Group_0_0__031522);\\n rule__XSynchronizedExpression__Group_0_0__0__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__Group_0_0__1_in_rule__XSynchronizedExpression__Group_0_0__031525);\\n rule__XSynchronizedExpression__Group_0_0__1();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e0d9e7540406feb8ff2a57f696585f85\",\n \"score\": \"0.68052596\",\n \"text\": \"public final void rule__Atomic__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../algorithmMaker.input.ui/src-gen/algorithmMaker/ui/contentassist/antlr/internal/InternalInput.g:3090:1: ( rule__Atomic__Group__3__Impl )\\n // ../algorithmMaker.input.ui/src-gen/algorithmMaker/ui/contentassist/antlr/internal/InternalInput.g:3091:2: rule__Atomic__Group__3__Impl\\n {\\n pushFollow(FOLLOW_rule__Atomic__Group__3__Impl_in_rule__Atomic__Group__36218);\\n rule__Atomic__Group__3__Impl();\\n\\n state._fsp--;\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"862c862fac0cbf741b62a459ebbc2850\",\n \"score\": \"0.6801167\",\n \"text\": \"public final void rule__XBlockExpression__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:12849:1: ( rule__XBlockExpression__Group__3__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:12850:2: rule__XBlockExpression__Group__3__Impl\\n {\\n pushFollow(FOLLOW_rule__XBlockExpression__Group__3__Impl_in_rule__XBlockExpression__Group__326059);\\n rule__XBlockExpression__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5315a5b71f601eaa10261cbbd15ca229\",\n \"score\": \"0.6793036\",\n \"text\": \"public final void rule__Atomic__Group__3__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../algorithmMaker.input.ui/src-gen/algorithmMaker/ui/contentassist/antlr/internal/InternalInput.g:3101:1: ( ( ')' ) )\\n // ../algorithmMaker.input.ui/src-gen/algorithmMaker/ui/contentassist/antlr/internal/InternalInput.g:3102:1: ( ')' )\\n {\\n // ../algorithmMaker.input.ui/src-gen/algorithmMaker/ui/contentassist/antlr/internal/InternalInput.g:3102:1: ( ')' )\\n // ../algorithmMaker.input.ui/src-gen/algorithmMaker/ui/contentassist/antlr/internal/InternalInput.g:3103:1: ')'\\n {\\n before(grammarAccess.getAtomicAccess().getRightParenthesisKeyword_3()); \\n match(input,35,FOLLOW_35_in_rule__Atomic__Group__3__Impl6246); \\n after(grammarAccess.getAtomicAccess().getRightParenthesisKeyword_3()); \\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"818ce1797206c90d642bb6f497fb3c92\",\n \"score\": \"0.67923886\",\n \"text\": \"public final void rule__XTypeLiteral__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14859:1: ( rule__XTypeLiteral__Group__3__Impl rule__XTypeLiteral__Group__4 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14860:2: rule__XTypeLiteral__Group__3__Impl rule__XTypeLiteral__Group__4\\n {\\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__3__Impl_in_rule__XTypeLiteral__Group__330016);\\n rule__XTypeLiteral__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__4_in_rule__XTypeLiteral__Group__330019);\\n rule__XTypeLiteral__Group__4();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a42a11e3b0f842df97d68719904cc76e\",\n \"score\": \"0.67804396\",\n \"text\": \"public final void rule__XSetLiteral__Group_3__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8874:1: ( rule__XSetLiteral__Group_3__1__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8875:2: rule__XSetLiteral__Group_3__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XSetLiteral__Group_3__1__Impl_in_rule__XSetLiteral__Group_3__118251);\\n rule__XSetLiteral__Group_3__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"390b5e92c2396e2fcef30fa18ab28741\",\n \"score\": \"0.677659\",\n \"text\": \"public final void rule__XVariableDeclaration__Group_3__0__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12311:1: ( ( '=' ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12312:1: ( '=' )\\n {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12312:1: ( '=' )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12313:1: '='\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXVariableDeclarationAccess().getEqualsSignKeyword_3_0()); \\n }\\n match(input,13,FOLLOW_13_in_rule__XVariableDeclaration__Group_3__0__Impl24937); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXVariableDeclarationAccess().getEqualsSignKeyword_3_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"72346a364d613593f63ae3e5debd6892\",\n \"score\": \"0.67756146\",\n \"text\": \"public final void rule__XAssignment__Group_0__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:3725:1: ( rule__XAssignment__Group_0__3__Impl )\\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:3726:2: rule__XAssignment__Group_0__3__Impl\\n {\\n pushFollow(FOLLOW_rule__XAssignment__Group_0__3__Impl_in_rule__XAssignment__Group_0__37880);\\n rule__XAssignment__Group_0__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b8df7706493d067476446a4aa914065\",\n \"score\": \"0.676289\",\n \"text\": \"public final void rule__XVariableDeclaration__Group_3__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13197:1: ( rule__XVariableDeclaration__Group_3__1__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13198:2: rule__XVariableDeclaration__Group_3__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group_3__1__Impl_in_rule__XVariableDeclaration__Group_3__126741);\\n rule__XVariableDeclaration__Group_3__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1acf995dc196a4d7e6a436c30dc183bd\",\n \"score\": \"0.67470664\",\n \"text\": \"public final void rule__XBlockExpression__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:11982:1: ( rule__XBlockExpression__Group__3__Impl )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:11983:2: rule__XBlockExpression__Group__3__Impl\\n {\\n pushFollow(FOLLOW_rule__XBlockExpression__Group__3__Impl_in_rule__XBlockExpression__Group__324286);\\n rule__XBlockExpression__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c767bff7efac02fa3fb68ede486fca7c\",\n \"score\": \"0.67420447\",\n \"text\": \"public final void rule__XVariableDeclaration__Group__3__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13050:1: ( ( ( rule__XVariableDeclaration__Group_3__0 )? ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13051:1: ( ( rule__XVariableDeclaration__Group_3__0 )? )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13051:1: ( ( rule__XVariableDeclaration__Group_3__0 )? )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13052:1: ( rule__XVariableDeclaration__Group_3__0 )?\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXVariableDeclarationAccess().getGroup_3()); \\n }\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13053:1: ( rule__XVariableDeclaration__Group_3__0 )?\\n int alt94=2;\\n int LA94_0 = input.LA(1);\\n\\n if ( (LA94_0==13) ) {\\n alt94=1;\\n }\\n switch (alt94) {\\n case 1 :\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13053:2: rule__XVariableDeclaration__Group_3__0\\n {\\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group_3__0_in_rule__XVariableDeclaration__Group__3__Impl26460);\\n rule__XVariableDeclaration__Group_3__0();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n break;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXVariableDeclarationAccess().getGroup_3()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b0b38b96ba3cc75a211464f6c84aff1\",\n \"score\": \"0.6738632\",\n \"text\": \"public final void rule__XListLiteral__Group_3__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9160:1: ( rule__XListLiteral__Group_3__1__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9161:2: rule__XListLiteral__Group_3__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XListLiteral__Group_3__1__Impl_in_rule__XListLiteral__Group_3__118811);\\n rule__XListLiteral__Group_3__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f8780825441792e7bf285f85d7b7a37e\",\n \"score\": \"0.6735307\",\n \"text\": \"public final void rule__XAnnotation__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4150:1: ( rule__XAnnotation__Group__3__Impl )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4151:2: rule__XAnnotation__Group__3__Impl\\n {\\n pushFollow(FOLLOW_rule__XAnnotation__Group__3__Impl_in_rule__XAnnotation__Group__38904);\\n rule__XAnnotation__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"05bd26c78b61f965f1b39daa0bd1fb1d\",\n \"score\": \"0.67199624\",\n \"text\": \"public final void rule__XSetLiteral__Group_3__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8692:1: ( rule__XSetLiteral__Group_3__1__Impl )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8693:2: rule__XSetLiteral__Group_3__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XSetLiteral__Group_3__1__Impl_in_rule__XSetLiteral__Group_3__117823);\\n rule__XSetLiteral__Group_3__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"af0205c471b1c4627c0298e6556eba34\",\n \"score\": \"0.6719506\",\n \"text\": \"public final void rule__XVariableDeclaration__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12172:1: ( rule__XVariableDeclaration__Group__3__Impl )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12173:2: rule__XVariableDeclaration__Group__3__Impl\\n {\\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group__3__Impl_in_rule__XVariableDeclaration__Group__324660);\\n rule__XVariableDeclaration__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5ba718f2402fc42d68727f25823fe2bd\",\n \"score\": \"0.67178136\",\n \"text\": \"public final void rule__XAnnotation__Group_3__0__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4198:1: ( ( ( '(' ) ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4199:1: ( ( '(' ) )\\n {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4199:1: ( ( '(' ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4200:1: ( '(' )\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXAnnotationAccess().getLeftParenthesisKeyword_3_0()); \\n }\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4201:1: ( '(' )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4202:2: '('\\n {\\n match(input,56,FOLLOW_56_in_rule__XAnnotation__Group_3__0__Impl9002); if (state.failed) return ;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXAnnotationAccess().getLeftParenthesisKeyword_3_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c656c5873a94563a4eca2e9cbfc594ed\",\n \"score\": \"0.67137533\",\n \"text\": \"public final void rule__XTypeLiteral__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13994:1: ( rule__XTypeLiteral__Group__3__Impl rule__XTypeLiteral__Group__4 )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13995:2: rule__XTypeLiteral__Group__3__Impl rule__XTypeLiteral__Group__4\\n {\\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__3__Impl_in_rule__XTypeLiteral__Group__328247);\\n rule__XTypeLiteral__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__4_in_rule__XTypeLiteral__Group__328250);\\n rule__XTypeLiteral__Group__4();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"efbe45f765cda219197a9ef04294ab3e\",\n \"score\": \"0.6713491\",\n \"text\": \"public final void rule__XSetLiteral__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8776:1: ( rule__XSetLiteral__Group__3__Impl rule__XSetLiteral__Group__4 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8777:2: rule__XSetLiteral__Group__3__Impl rule__XSetLiteral__Group__4\\n {\\n pushFollow(FOLLOW_rule__XSetLiteral__Group__3__Impl_in_rule__XSetLiteral__Group__318061);\\n rule__XSetLiteral__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XSetLiteral__Group__4_in_rule__XSetLiteral__Group__318064);\\n rule__XSetLiteral__Group__4();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3dd23032baa66f9c608421e30e272065\",\n \"score\": \"0.6702089\",\n \"text\": \"public final void rule__XAssignment__Group_0__2() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4703:1: ( rule__XAssignment__Group_0__2__Impl rule__XAssignment__Group_0__3 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4704:2: rule__XAssignment__Group_0__2__Impl rule__XAssignment__Group_0__3\\n {\\n pushFollow(FOLLOW_rule__XAssignment__Group_0__2__Impl_in_rule__XAssignment__Group_0__210067);\\n rule__XAssignment__Group_0__2__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XAssignment__Group_0__3_in_rule__XAssignment__Group_0__210070);\\n rule__XAssignment__Group_0__3();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6fc820efe5d7c5b1d83f31ff791a9502\",\n \"score\": \"0.66877615\",\n \"text\": \"public final void rule__XVariableDeclaration__Group__3__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12183:1: ( ( ( rule__XVariableDeclaration__Group_3__0 )? ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12184:1: ( ( rule__XVariableDeclaration__Group_3__0 )? )\\n {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12184:1: ( ( rule__XVariableDeclaration__Group_3__0 )? )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12185:1: ( rule__XVariableDeclaration__Group_3__0 )?\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXVariableDeclarationAccess().getGroup_3()); \\n }\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12186:1: ( rule__XVariableDeclaration__Group_3__0 )?\\n int alt87=2;\\n int LA87_0 = input.LA(1);\\n\\n if ( (LA87_0==13) ) {\\n alt87=1;\\n }\\n switch (alt87) {\\n case 1 :\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12186:2: rule__XVariableDeclaration__Group_3__0\\n {\\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group_3__0_in_rule__XVariableDeclaration__Group__3__Impl24687);\\n rule__XVariableDeclaration__Group_3__0();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n break;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXVariableDeclarationAccess().getGroup_3()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9deca927d89aca1e5faaec8993c2dc0\",\n \"score\": \"0.66863\",\n \"text\": \"public final void rule__XCatchClause__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15816:1: ( rule__XCatchClause__Group__3__Impl rule__XCatchClause__Group__4 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15817:2: rule__XCatchClause__Group__3__Impl rule__XCatchClause__Group__4\\n {\\n pushFollow(FOLLOW_rule__XCatchClause__Group__3__Impl_in_rule__XCatchClause__Group__331896);\\n rule__XCatchClause__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XCatchClause__Group__4_in_rule__XCatchClause__Group__331899);\\n rule__XCatchClause__Group__4();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6d2171c49147fca0dfdc24be8ec4f63b\",\n \"score\": \"0.6675538\",\n \"text\": \"public final void rule__XSetLiteral__Group_3_1__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8937:1: ( rule__XSetLiteral__Group_3_1__1__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8938:2: rule__XSetLiteral__Group_3_1__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XSetLiteral__Group_3_1__1__Impl_in_rule__XSetLiteral__Group_3_1__118375);\\n rule__XSetLiteral__Group_3_1__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0d44a5f5c42731ca66d3692b31b5ab21\",\n \"score\": \"0.6674808\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group_0_0__1__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15670:1: ( ( 'synchronized' ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15671:1: ( 'synchronized' )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15671:1: ( 'synchronized' )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15672:1: 'synchronized'\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXSynchronizedExpressionAccess().getSynchronizedKeyword_0_0_1()); \\n }\\n match(input,81,FOLLOW_81_in_rule__XSynchronizedExpression__Group_0_0__1__Impl31614); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXSynchronizedExpressionAccess().getSynchronizedKeyword_0_0_1()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"65b60233a56d5bbf4c16d707cf4a063b\",\n \"score\": \"0.6663589\",\n \"text\": \"public final void rule__XAnnotation__Group_3__2__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4257:1: ( ( ')' ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4258:1: ( ')' )\\n {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4258:1: ( ')' )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4259:1: ')'\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXAnnotationAccess().getRightParenthesisKeyword_3_2()); \\n }\\n match(input,57,FOLLOW_57_in_rule__XAnnotation__Group_3__2__Impl9123); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXAnnotationAccess().getRightParenthesisKeyword_3_2()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"16688e681cb29714525be438863639cb\",\n \"score\": \"0.6663516\",\n \"text\": \"public final void rule__XListLiteral__Group_3_1__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9223:1: ( rule__XListLiteral__Group_3_1__1__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9224:2: rule__XListLiteral__Group_3_1__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XListLiteral__Group_3_1__1__Impl_in_rule__XListLiteral__Group_3_1__118935);\\n rule__XListLiteral__Group_3_1__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f4b3679ca7c74ac7608fba0d40e8e02b\",\n \"score\": \"0.66631466\",\n \"text\": \"public final void rule__XVariableDeclaration__Group_3__0__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13178:1: ( ( '=' ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13179:1: ( '=' )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13179:1: ( '=' )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13180:1: '='\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXVariableDeclarationAccess().getEqualsSignKeyword_3_0()); \\n }\\n match(input,13,FOLLOW_13_in_rule__XVariableDeclaration__Group_3__0__Impl26710); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXVariableDeclarationAccess().getEqualsSignKeyword_3_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"329b40e1138207bf8e17648fbd545a43\",\n \"score\": \"0.66616225\",\n \"text\": \"public final void rule__XAnnotation__Group__3__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4161:1: ( ( ( rule__XAnnotation__Group_3__0 )? ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4162:1: ( ( rule__XAnnotation__Group_3__0 )? )\\n {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4162:1: ( ( rule__XAnnotation__Group_3__0 )? )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4163:1: ( rule__XAnnotation__Group_3__0 )?\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXAnnotationAccess().getGroup_3()); \\n }\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4164:1: ( rule__XAnnotation__Group_3__0 )?\\n int alt48=2;\\n int LA48_0 = input.LA(1);\\n\\n if ( (LA48_0==56) ) {\\n int LA48_1 = input.LA(2);\\n\\n if ( (synpred85_InternalGuiceModules()) ) {\\n alt48=1;\\n }\\n }\\n switch (alt48) {\\n case 1 :\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4164:2: rule__XAnnotation__Group_3__0\\n {\\n pushFollow(FOLLOW_rule__XAnnotation__Group_3__0_in_rule__XAnnotation__Group__3__Impl8931);\\n rule__XAnnotation__Group_3__0();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n break;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXAnnotationAccess().getGroup_3()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0ead01aab9860072d509b463d991c143\",\n \"score\": \"0.6635308\",\n \"text\": \"public final void rule__XSetLiteral__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8594:1: ( rule__XSetLiteral__Group__3__Impl rule__XSetLiteral__Group__4 )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8595:2: rule__XSetLiteral__Group__3__Impl rule__XSetLiteral__Group__4\\n {\\n pushFollow(FOLLOW_rule__XSetLiteral__Group__3__Impl_in_rule__XSetLiteral__Group__317633);\\n rule__XSetLiteral__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XSetLiteral__Group__4_in_rule__XSetLiteral__Group__317636);\\n rule__XSetLiteral__Group__4();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d637556be3ce32cb3439f77b88c86362\",\n \"score\": \"0.6634744\",\n \"text\": \"public final void rule__Expression0__Group_3__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../ai.vital.flora2.edit.ui/src-gen/ai/vital/flora2/edit/ui/contentassist/antlr/internal/InternalFlora2Editor.g:3465:1: ( rule__Expression0__Group_3__1__Impl )\\n // ../ai.vital.flora2.edit.ui/src-gen/ai/vital/flora2/edit/ui/contentassist/antlr/internal/InternalFlora2Editor.g:3466:2: rule__Expression0__Group_3__1__Impl\\n {\\n pushFollow(FOLLOW_rule__Expression0__Group_3__1__Impl_in_rule__Expression0__Group_3__17001);\\n rule__Expression0__Group_3__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8185362e375f85d8ebcce9b84ca13164\",\n \"score\": \"0.6628843\",\n \"text\": \"public final void rule__XBlockExpression__Group__3__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:11993:1: ( ( '}' ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:11994:1: ( '}' )\\n {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:11994:1: ( '}' )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:11995:1: '}'\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXBlockExpressionAccess().getRightCurlyBracketKeyword_3()); \\n }\\n match(input,49,FOLLOW_49_in_rule__XBlockExpression__Group__3__Impl24314); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXBlockExpressionAccess().getRightCurlyBracketKeyword_3()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1d978b7aa8436c4e9874f6a4e925d270\",\n \"score\": \"0.6595517\",\n \"text\": \"public final void rule__Assignment__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.applause.applausedsl.ui/src-gen/org/applause/applausedsl/ui/contentassist/antlr/internal/InternalApplauseDsl.g:5237:1: ( rule__Assignment__Group__3__Impl )\\n // ../org.applause.applausedsl.ui/src-gen/org/applause/applausedsl/ui/contentassist/antlr/internal/InternalApplauseDsl.g:5238:2: rule__Assignment__Group__3__Impl\\n {\\n pushFollow(FOLLOW_rule__Assignment__Group__3__Impl_in_rule__Assignment__Group__310637);\\n rule__Assignment__Group__3__Impl();\\n _fsp--;\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b02da9a16f43a0db5c8d9ff21bfb252e\",\n \"score\": \"0.65848386\",\n \"text\": \"public final void rule__ExclusiveOrExpressionCompletion__Group__1__Impl() throws RecognitionException {\\r\\n\\r\\n \\t\\tint stackSize = keepStackSize();\\r\\n \\r\\n try {\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22164:1: ( ( ( rule__ExclusiveOrExpressionCompletion__Group_1__0 )* ) )\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22165:1: ( ( rule__ExclusiveOrExpressionCompletion__Group_1__0 )* )\\r\\n {\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22165:1: ( ( rule__ExclusiveOrExpressionCompletion__Group_1__0 )* )\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22166:1: ( rule__ExclusiveOrExpressionCompletion__Group_1__0 )*\\r\\n {\\r\\n if ( state.backtracking==0 ) {\\r\\n before(grammarAccess.getExclusiveOrExpressionCompletionAccess().getGroup_1()); \\r\\n }\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22167:1: ( rule__ExclusiveOrExpressionCompletion__Group_1__0 )*\\r\\n loop169:\\r\\n do {\\r\\n int alt169=2;\\r\\n int LA169_0 = input.LA(1);\\r\\n\\r\\n if ( (LA169_0==91) ) {\\r\\n alt169=1;\\r\\n }\\r\\n\\r\\n\\r\\n switch (alt169) {\\r\\n \\tcase 1 :\\r\\n \\t // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22167:2: rule__ExclusiveOrExpressionCompletion__Group_1__0\\r\\n \\t {\\r\\n \\t pushFollow(FOLLOW_rule__ExclusiveOrExpressionCompletion__Group_1__0_in_rule__ExclusiveOrExpressionCompletion__Group__1__Impl45565);\\r\\n \\t rule__ExclusiveOrExpressionCompletion__Group_1__0();\\r\\n\\r\\n \\t state._fsp--;\\r\\n \\t if (state.failed) return ;\\r\\n\\r\\n \\t }\\r\\n \\t break;\\r\\n\\r\\n \\tdefault :\\r\\n \\t break loop169;\\r\\n }\\r\\n } while (true);\\r\\n\\r\\n if ( state.backtracking==0 ) {\\r\\n after(grammarAccess.getExclusiveOrExpressionCompletionAccess().getGroup_1()); \\r\\n }\\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n catch (RecognitionException re) {\\r\\n reportError(re);\\r\\n recover(input,re);\\r\\n }\\r\\n finally {\\r\\n\\r\\n \\trestoreStackSize(stackSize);\\r\\n\\r\\n }\\r\\n return ;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4979b4327b5541ad055860826031c028\",\n \"score\": \"0.6584808\",\n \"text\": \"public final void rule__Assignment__Group_3__2() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3310:1: ( rule__Assignment__Group_3__2__Impl )\\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3311:2: rule__Assignment__Group_3__2__Impl\\n {\\n pushFollow(FOLLOW_rule__Assignment__Group_3__2__Impl_in_rule__Assignment__Group_3__26688);\\n rule__Assignment__Group_3__2__Impl();\\n\\n state._fsp--;\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"11792a8651ece2418fc325ee8de0fb8b\",\n \"score\": \"0.6583425\",\n \"text\": \"public final void rule__XSetLiteral__Group_3_1__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8755:1: ( rule__XSetLiteral__Group_3_1__1__Impl )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8756:2: rule__XSetLiteral__Group_3_1__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XSetLiteral__Group_3_1__1__Impl_in_rule__XSetLiteral__Group_3_1__117947);\\n rule__XSetLiteral__Group_3_1__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"33415da2b68839f05b2b23a50a14e0e2\",\n \"score\": \"0.6581369\",\n \"text\": \"public final void rule__Atomic__Group_3__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\t\\n try {\\n // InternalGoatComponentsParser.g:7206:1: ( rule__Atomic__Group_3__1__Impl )\\n // InternalGoatComponentsParser.g:7207:2: rule__Atomic__Group_3__1__Impl\\n {\\n pushFollow(FOLLOW_2);\\n rule__Atomic__Group_3__1__Impl();\\n\\n state._fsp--;\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6f6f84ed18e0215774ffbed5559d800a\",\n \"score\": \"0.6569529\",\n \"text\": \"public final void rule__XBlockExpression__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:9731:1: ( rule__XBlockExpression__Group__3__Impl )\\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:9732:2: rule__XBlockExpression__Group__3__Impl\\n {\\n pushFollow(FOLLOW_rule__XBlockExpression__Group__3__Impl_in_rule__XBlockExpression__Group__319685);\\n rule__XBlockExpression__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3bb443a59d333c23ef6be86f68e366a4\",\n \"score\": \"0.6564144\",\n \"text\": \"public final void rule__XSetLiteral__Group__2() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8745:1: ( rule__XSetLiteral__Group__2__Impl rule__XSetLiteral__Group__3 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8746:2: rule__XSetLiteral__Group__2__Impl rule__XSetLiteral__Group__3\\n {\\n pushFollow(FOLLOW_rule__XSetLiteral__Group__2__Impl_in_rule__XSetLiteral__Group__217999);\\n rule__XSetLiteral__Group__2__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XSetLiteral__Group__3_in_rule__XSetLiteral__Group__218002);\\n rule__XSetLiteral__Group__3();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7aaad8de96d093f78f3252f4e45d4123\",\n \"score\": \"0.65599203\",\n \"text\": \"public final void rule__XCatchClause__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:14698:1: ( rule__XCatchClause__Group__3__Impl rule__XCatchClause__Group__4 )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:14699:2: rule__XCatchClause__Group__3__Impl rule__XCatchClause__Group__4\\n {\\n pushFollow(FOLLOW_rule__XCatchClause__Group__3__Impl_in_rule__XCatchClause__Group__329633);\\n rule__XCatchClause__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XCatchClause__Group__4_in_rule__XCatchClause__Group__329636);\\n rule__XCatchClause__Group__4();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5410663bd88d258b95ff7e07712729b0\",\n \"score\": \"0.65588987\",\n \"text\": \"public final void rule__XVariableDeclaration__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:9921:1: ( rule__XVariableDeclaration__Group__3__Impl )\\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:9922:2: rule__XVariableDeclaration__Group__3__Impl\\n {\\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group__3__Impl_in_rule__XVariableDeclaration__Group__320059);\\n rule__XVariableDeclaration__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2cb0f0c51ebb77ffd510844e8976db81\",\n \"score\": \"0.6544944\",\n \"text\": \"public final void rule__XVariableDeclaration__Group_3__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12330:1: ( rule__XVariableDeclaration__Group_3__1__Impl )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12331:2: rule__XVariableDeclaration__Group_3__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group_3__1__Impl_in_rule__XVariableDeclaration__Group_3__124968);\\n rule__XVariableDeclaration__Group_3__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4102e3d380767d9189e5116053af26b6\",\n \"score\": \"0.65434\",\n \"text\": \"public final void rule__Operation__Group__3__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4337:1: ( ( ( rule__Operation__Group_3__0 )? ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4338:1: ( ( rule__Operation__Group_3__0 )? )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4338:1: ( ( rule__Operation__Group_3__0 )? )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4339:1: ( rule__Operation__Group_3__0 )?\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getOperationAccess().getGroup_3()); \\n }\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4340:1: ( rule__Operation__Group_3__0 )?\\n int alt49=2;\\n int LA49_0 = input.LA(1);\\n\\n if ( (LA49_0==RULE_ID||LA49_0==31||LA49_0==57) ) {\\n alt49=1;\\n }\\n switch (alt49) {\\n case 1 :\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4340:2: rule__Operation__Group_3__0\\n {\\n pushFollow(FOLLOW_rule__Operation__Group_3__0_in_rule__Operation__Group__3__Impl9353);\\n rule__Operation__Group_3__0();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n break;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getOperationAccess().getGroup_3()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"488a0d248e21acb4d639efa5de6a0661\",\n \"score\": \"0.6537041\",\n \"text\": \"public final void rule__MathFCExpression__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // InternalBehaviordsl.g:12573:1: ( rule__MathFCExpression__Group__3__Impl )\\n // InternalBehaviordsl.g:12574:2: rule__MathFCExpression__Group__3__Impl\\n {\\n pushFollow(FollowSets000.FOLLOW_2);\\n rule__MathFCExpression__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"083dabe9e88b96340b844be9b993c3eb\",\n \"score\": \"0.6535674\",\n \"text\": \"public final void rule__XListLiteral__Group_3__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8978:1: ( rule__XListLiteral__Group_3__1__Impl )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8979:2: rule__XListLiteral__Group_3__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XListLiteral__Group_3__1__Impl_in_rule__XListLiteral__Group_3__118383);\\n rule__XListLiteral__Group_3__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"62efe9f7e1d62edb7ac244e45b927622\",\n \"score\": \"0.65334576\",\n \"text\": \"public final void rule__XAnnotation__Group_3__2() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4246:1: ( rule__XAnnotation__Group_3__2__Impl )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4247:2: rule__XAnnotation__Group_3__2__Impl\\n {\\n pushFollow(FOLLOW_rule__XAnnotation__Group_3__2__Impl_in_rule__XAnnotation__Group_3__29095);\\n rule__XAnnotation__Group_3__2__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ac27fef120733034f2beb26fcad09f86\",\n \"score\": \"0.65318847\",\n \"text\": \"public final void rule__XEqualityExpression__Group__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:5638:1: ( rule__XEqualityExpression__Group__1__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:5639:2: rule__XEqualityExpression__Group__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XEqualityExpression__Group__1__Impl_in_rule__XEqualityExpression__Group__111900);\\n rule__XEqualityExpression__Group__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4631662e93d4c7d6da4bd6916c2d43e5\",\n \"score\": \"0.65272444\",\n \"text\": \"public final void rule__XTypeLiteral__Group__2() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14828:1: ( rule__XTypeLiteral__Group__2__Impl rule__XTypeLiteral__Group__3 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14829:2: rule__XTypeLiteral__Group__2__Impl rule__XTypeLiteral__Group__3\\n {\\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__2__Impl_in_rule__XTypeLiteral__Group__229954);\\n rule__XTypeLiteral__Group__2__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__3_in_rule__XTypeLiteral__Group__229957);\\n rule__XTypeLiteral__Group__3();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"060cdb65158f7c40940ae971657ef56b\",\n \"score\": \"0.6526484\",\n \"text\": \"public final void rule__XListLiteral__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9062:1: ( rule__XListLiteral__Group__3__Impl rule__XListLiteral__Group__4 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9063:2: rule__XListLiteral__Group__3__Impl rule__XListLiteral__Group__4\\n {\\n pushFollow(FOLLOW_rule__XListLiteral__Group__3__Impl_in_rule__XListLiteral__Group__318621);\\n rule__XListLiteral__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XListLiteral__Group__4_in_rule__XListLiteral__Group__318624);\\n rule__XListLiteral__Group__4();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bb14b5cb2919b6e9ad2b7328b25a2599\",\n \"score\": \"0.65253675\",\n \"text\": \"public final void rule__XBlockExpression__Group_2__1__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12060:1: ( ( ( ';' )? ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12061:1: ( ( ';' )? )\\n {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12061:1: ( ( ';' )? )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12062:1: ( ';' )?\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXBlockExpressionAccess().getSemicolonKeyword_2_1()); \\n }\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12063:1: ( ';' )?\\n int alt86=2;\\n int LA86_0 = input.LA(1);\\n\\n if ( (LA86_0==63) ) {\\n alt86=1;\\n }\\n switch (alt86) {\\n case 1 :\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:12064:2: ';'\\n {\\n match(input,63,FOLLOW_63_in_rule__XBlockExpression__Group_2__1__Impl24442); if (state.failed) return ;\\n\\n }\\n break;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXBlockExpressionAccess().getSemicolonKeyword_2_1()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c912b30d0caaa8c05c2bc76b4b060a7c\",\n \"score\": \"0.6524578\",\n \"text\": \"public final void rule__XBlockExpression__Group__3__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:12860:1: ( ( '}' ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:12861:1: ( '}' )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:12861:1: ( '}' )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:12862:1: '}'\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXBlockExpressionAccess().getRightCurlyBracketKeyword_3()); \\n }\\n match(input,53,FOLLOW_53_in_rule__XBlockExpression__Group__3__Impl26087); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXBlockExpressionAccess().getRightCurlyBracketKeyword_3()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c606340a5644ebf650751468b42eeefa\",\n \"score\": \"0.6506191\",\n \"text\": \"public final void rule__XSynchronizedExpression__Group__1__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15513:1: ( ( ( rule__XSynchronizedExpression__ParamAssignment_1 ) ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15514:1: ( ( rule__XSynchronizedExpression__ParamAssignment_1 ) )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15514:1: ( ( rule__XSynchronizedExpression__ParamAssignment_1 ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15515:1: ( rule__XSynchronizedExpression__ParamAssignment_1 )\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXSynchronizedExpressionAccess().getParamAssignment_1()); \\n }\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15516:1: ( rule__XSynchronizedExpression__ParamAssignment_1 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15516:2: rule__XSynchronizedExpression__ParamAssignment_1\\n {\\n pushFollow(FOLLOW_rule__XSynchronizedExpression__ParamAssignment_1_in_rule__XSynchronizedExpression__Group__1__Impl31306);\\n rule__XSynchronizedExpression__ParamAssignment_1();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXSynchronizedExpressionAccess().getParamAssignment_1()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"29f7f897da4f4dcb0f594381d489ee6f\",\n \"score\": \"0.650528\",\n \"text\": \"public final void rule__XSetLiteral__Group__2() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8563:1: ( rule__XSetLiteral__Group__2__Impl rule__XSetLiteral__Group__3 )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8564:2: rule__XSetLiteral__Group__2__Impl rule__XSetLiteral__Group__3\\n {\\n pushFollow(FOLLOW_rule__XSetLiteral__Group__2__Impl_in_rule__XSetLiteral__Group__217571);\\n rule__XSetLiteral__Group__2__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XSetLiteral__Group__3_in_rule__XSetLiteral__Group__217574);\\n rule__XSetLiteral__Group__3();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d38cab4d150e7fca1c730cbf2bf5ec10\",\n \"score\": \"0.64999795\",\n \"text\": \"public final void rule__XSynchronizedExpression__ExpressionAssignment_3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:20234:1: ( ( ruleXExpression ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:20235:1: ( ruleXExpression )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:20235:1: ( ruleXExpression )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:20236:1: ruleXExpression\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXSynchronizedExpressionAccess().getExpressionXExpressionParserRuleCall_3_0()); \\n }\\n pushFollow(FOLLOW_ruleXExpression_in_rule__XSynchronizedExpression__ExpressionAssignment_340745);\\n ruleXExpression();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXSynchronizedExpressionAccess().getExpressionXExpressionParserRuleCall_3_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93071ac9216f30736765938dd2af1619\",\n \"score\": \"0.6498403\",\n \"text\": \"public final void synpred3_InternalGuiceModules_fragment() throws RecognitionException { \\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:2269:1: ( ( ( rule__XAnnotation__Group_3_1_0__0 ) ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:2269:1: ( ( rule__XAnnotation__Group_3_1_0__0 ) )\\n {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:2269:1: ( ( rule__XAnnotation__Group_3_1_0__0 ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:2270:1: ( rule__XAnnotation__Group_3_1_0__0 )\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXAnnotationAccess().getGroup_3_1_0()); \\n }\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:2271:1: ( rule__XAnnotation__Group_3_1_0__0 )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:2271:2: rule__XAnnotation__Group_3_1_0__0\\n {\\n pushFollow(FOLLOW_rule__XAnnotation__Group_3_1_0__0_in_synpred3_InternalGuiceModules4781);\\n rule__XAnnotation__Group_3_1_0__0();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n\\n }\\n\\n\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e6671b5ffce44b3beb23958b39acd54b\",\n \"score\": \"0.6494848\",\n \"text\": \"public final void rule__XCatchClause__Group__3__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:14710:1: ( ( ')' ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:14711:1: ( ')' )\\n {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:14711:1: ( ')' )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:14712:1: ')'\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXCatchClauseAccess().getRightParenthesisKeyword_3()); \\n }\\n match(input,57,FOLLOW_57_in_rule__XCatchClause__Group__3__Impl29664); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXCatchClauseAccess().getRightParenthesisKeyword_3()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cedabd53c357e17d5c7277eedb889663\",\n \"score\": \"0.64869297\",\n \"text\": \"public final void rule__XListLiteral__Group__3__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9074:1: ( ( ( rule__XListLiteral__Group_3__0 )? ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9075:1: ( ( rule__XListLiteral__Group_3__0 )? )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9075:1: ( ( rule__XListLiteral__Group_3__0 )? )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9076:1: ( rule__XListLiteral__Group_3__0 )?\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXListLiteralAccess().getGroup_3()); \\n }\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9077:1: ( rule__XListLiteral__Group_3__0 )?\\n int alt72=2;\\n int LA72_0 = input.LA(1);\\n\\n if ( ((LA72_0>=RULE_ID && LA72_0<=RULE_STRING)||LA72_0==27||(LA72_0>=34 && LA72_0<=35)||LA72_0==40||(LA72_0>=45 && LA72_0<=50)||LA72_0==52||LA72_0==57||(LA72_0>=62 && LA72_0<=63)||LA72_0==66||LA72_0==68||(LA72_0>=71 && LA72_0<=79)||LA72_0==81||LA72_0==89) ) {\\n alt72=1;\\n }\\n switch (alt72) {\\n case 1 :\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9077:2: rule__XListLiteral__Group_3__0\\n {\\n pushFollow(FOLLOW_rule__XListLiteral__Group_3__0_in_rule__XListLiteral__Group__3__Impl18651);\\n rule__XListLiteral__Group_3__0();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n break;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXListLiteralAccess().getGroup_3()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8306d9001ee3f5b95e02f9fadfcfc412\",\n \"score\": \"0.64830196\",\n \"text\": \"public final void rule__XAssignment__Group_0__2() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4936:1: ( rule__XAssignment__Group_0__2__Impl rule__XAssignment__Group_0__3 )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:4937:2: rule__XAssignment__Group_0__2__Impl rule__XAssignment__Group_0__3\\n {\\n pushFollow(FOLLOW_rule__XAssignment__Group_0__2__Impl_in_rule__XAssignment__Group_0__210447);\\n rule__XAssignment__Group_0__2__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XAssignment__Group_0__3_in_rule__XAssignment__Group_0__210450);\\n rule__XAssignment__Group_0__3();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0d365c031667a37fa6c30ea7e7531c09\",\n \"score\": \"0.6481277\",\n \"text\": \"public final void rule__XSetLiteral__Group__3__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8788:1: ( ( ( rule__XSetLiteral__Group_3__0 )? ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8789:1: ( ( rule__XSetLiteral__Group_3__0 )? )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8789:1: ( ( rule__XSetLiteral__Group_3__0 )? )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8790:1: ( rule__XSetLiteral__Group_3__0 )?\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXSetLiteralAccess().getGroup_3()); \\n }\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8791:1: ( rule__XSetLiteral__Group_3__0 )?\\n int alt70=2;\\n int LA70_0 = input.LA(1);\\n\\n if ( ((LA70_0>=RULE_ID && LA70_0<=RULE_STRING)||LA70_0==27||(LA70_0>=34 && LA70_0<=35)||LA70_0==40||(LA70_0>=45 && LA70_0<=50)||LA70_0==52||LA70_0==57||(LA70_0>=62 && LA70_0<=63)||LA70_0==66||LA70_0==68||(LA70_0>=71 && LA70_0<=79)||LA70_0==81||LA70_0==89) ) {\\n alt70=1;\\n }\\n switch (alt70) {\\n case 1 :\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:8791:2: rule__XSetLiteral__Group_3__0\\n {\\n pushFollow(FOLLOW_rule__XSetLiteral__Group_3__0_in_rule__XSetLiteral__Group__3__Impl18091);\\n rule__XSetLiteral__Group_3__0();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n break;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXSetLiteralAccess().getGroup_3()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"da878a1ff2293c02bb2c74fac58b25fa\",\n \"score\": \"0.6477814\",\n \"text\": \"public final void rule__Tuple__Group__3() throws RecognitionException {\\r\\n\\r\\n \\t\\tint stackSize = keepStackSize();\\r\\n \\r\\n try {\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:16789:1: ( rule__Tuple__Group__3__Impl )\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:16790:2: rule__Tuple__Group__3__Impl\\r\\n {\\r\\n pushFollow(FOLLOW_rule__Tuple__Group__3__Impl_in_rule__Tuple__Group__334967);\\r\\n rule__Tuple__Group__3__Impl();\\r\\n\\r\\n state._fsp--;\\r\\n if (state.failed) return ;\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n catch (RecognitionException re) {\\r\\n reportError(re);\\r\\n recover(input,re);\\r\\n }\\r\\n finally {\\r\\n\\r\\n \\trestoreStackSize(stackSize);\\r\\n\\r\\n }\\r\\n return ;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7aa3eab394cf1e8a20bd5b53ab8385d8\",\n \"score\": \"0.64754254\",\n \"text\": \"public final void rule__Operation__Group_3__1__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4496:1: ( ( ( rule__Operation__Group_3_1__0 )* ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4497:1: ( ( rule__Operation__Group_3_1__0 )* )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4497:1: ( ( rule__Operation__Group_3_1__0 )* )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4498:1: ( rule__Operation__Group_3_1__0 )*\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getOperationAccess().getGroup_3_1()); \\n }\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4499:1: ( rule__Operation__Group_3_1__0 )*\\n loop51:\\n do {\\n int alt51=2;\\n int LA51_0 = input.LA(1);\\n\\n if ( (LA51_0==59) ) {\\n alt51=1;\\n }\\n\\n\\n switch (alt51) {\\n \\tcase 1 :\\n \\t // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4499:2: rule__Operation__Group_3_1__0\\n \\t {\\n \\t pushFollow(FOLLOW_rule__Operation__Group_3_1__0_in_rule__Operation__Group_3__1__Impl9665);\\n \\t rule__Operation__Group_3_1__0();\\n\\n \\t state._fsp--;\\n \\t if (state.failed) return ;\\n\\n \\t }\\n \\t break;\\n\\n \\tdefault :\\n \\t break loop51;\\n }\\n } while (true);\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getOperationAccess().getGroup_3_1()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b7a9129b822527dac2f37b5e651927ab\",\n \"score\": \"0.64723635\",\n \"text\": \"public final void rule__XCatchClause__Group__2() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15787:1: ( rule__XCatchClause__Group__2__Impl rule__XCatchClause__Group__3 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15788:2: rule__XCatchClause__Group__2__Impl rule__XCatchClause__Group__3\\n {\\n pushFollow(FOLLOW_rule__XCatchClause__Group__2__Impl_in_rule__XCatchClause__Group__231836);\\n rule__XCatchClause__Group__2__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XCatchClause__Group__3_in_rule__XCatchClause__Group__231839);\\n rule__XCatchClause__Group__3();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f2081fc386a732ec7c8ac87f04090543\",\n \"score\": \"0.6464927\",\n \"text\": \"public final void rule__XEqualityExpression__Group_1__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:5699:1: ( rule__XEqualityExpression__Group_1__1__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:5700:2: rule__XEqualityExpression__Group_1__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XEqualityExpression__Group_1__1__Impl_in_rule__XEqualityExpression__Group_1__112022);\\n rule__XEqualityExpression__Group_1__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8f4ee9938fec019dcefc6e738acc12aa\",\n \"score\": \"0.64636016\",\n \"text\": \"public final void rule__ExclusiveOrExpression__Group__1__Impl() throws RecognitionException {\\r\\n\\r\\n \\t\\tint stackSize = keepStackSize();\\r\\n \\r\\n try {\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22103:1: ( ( ( rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1 ) ) )\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22104:1: ( ( rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1 ) )\\r\\n {\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22104:1: ( ( rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1 ) )\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22105:1: ( rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1 )\\r\\n {\\r\\n if ( state.backtracking==0 ) {\\r\\n before(grammarAccess.getExclusiveOrExpressionAccess().getExclusiveOrExpressionCompletionAssignment_1()); \\r\\n }\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22106:1: ( rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1 )\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22106:2: rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1\\r\\n {\\r\\n pushFollow(FOLLOW_rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1_in_rule__ExclusiveOrExpression__Group__1__Impl45444);\\r\\n rule__ExclusiveOrExpression__ExclusiveOrExpressionCompletionAssignment_1();\\r\\n\\r\\n state._fsp--;\\r\\n if (state.failed) return ;\\r\\n\\r\\n }\\r\\n\\r\\n if ( state.backtracking==0 ) {\\r\\n after(grammarAccess.getExclusiveOrExpressionAccess().getExclusiveOrExpressionCompletionAssignment_1()); \\r\\n }\\r\\n\\r\\n }\\r\\n\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n catch (RecognitionException re) {\\r\\n reportError(re);\\r\\n recover(input,re);\\r\\n }\\r\\n finally {\\r\\n\\r\\n \\trestoreStackSize(stackSize);\\r\\n\\r\\n }\\r\\n return ;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"227430e51569fcd2780771061d160015\",\n \"score\": \"0.64548874\",\n \"text\": \"public final void rule__Assignment__Group_3__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3279:1: ( rule__Assignment__Group_3__1__Impl rule__Assignment__Group_3__2 )\\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3280:2: rule__Assignment__Group_3__1__Impl rule__Assignment__Group_3__2\\n {\\n pushFollow(FOLLOW_rule__Assignment__Group_3__1__Impl_in_rule__Assignment__Group_3__16626);\\n rule__Assignment__Group_3__1__Impl();\\n\\n state._fsp--;\\n\\n pushFollow(FOLLOW_rule__Assignment__Group_3__2_in_rule__Assignment__Group_3__16629);\\n rule__Assignment__Group_3__2();\\n\\n state._fsp--;\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b7464e6dea8c1dd8cc51ef0c8a63e768\",\n \"score\": \"0.6451611\",\n \"text\": \"public final void rule__XListLiteral__Group_3__1__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9171:1: ( ( ( rule__XListLiteral__Group_3_1__0 )* ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9172:1: ( ( rule__XListLiteral__Group_3_1__0 )* )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9172:1: ( ( rule__XListLiteral__Group_3_1__0 )* )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9173:1: ( rule__XListLiteral__Group_3_1__0 )*\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXListLiteralAccess().getGroup_3_1()); \\n }\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9174:1: ( rule__XListLiteral__Group_3_1__0 )*\\n loop73:\\n do {\\n int alt73=2;\\n int LA73_0 = input.LA(1);\\n\\n if ( (LA73_0==59) ) {\\n alt73=1;\\n }\\n\\n\\n switch (alt73) {\\n \\tcase 1 :\\n \\t // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9174:2: rule__XListLiteral__Group_3_1__0\\n \\t {\\n \\t pushFollow(FOLLOW_rule__XListLiteral__Group_3_1__0_in_rule__XListLiteral__Group_3__1__Impl18838);\\n \\t rule__XListLiteral__Group_3_1__0();\\n\\n \\t state._fsp--;\\n \\t if (state.failed) return ;\\n\\n \\t }\\n \\t break;\\n\\n \\tdefault :\\n \\t break loop73;\\n }\\n } while (true);\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXListLiteralAccess().getGroup_3_1()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"90b1101865dc5ecc72469ba983c91a53\",\n \"score\": \"0.64458835\",\n \"text\": \"public final void rule__XListLiteral__Group_3_1__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:9041:1: ( rule__XListLiteral__Group_3_1__1__Impl )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:9042:2: rule__XListLiteral__Group_3_1__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XListLiteral__Group_3_1__1__Impl_in_rule__XListLiteral__Group_3_1__118507);\\n rule__XListLiteral__Group_3_1__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d714f67c584ce3013eab84fa79e0133e\",\n \"score\": \"0.64437217\",\n \"text\": \"public final void rule__SpaceFCExpression__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // InternalBehaviordsl.g:10123:1: ( rule__SpaceFCExpression__Group__3__Impl )\\n // InternalBehaviordsl.g:10124:2: rule__SpaceFCExpression__Group__3__Impl\\n {\\n pushFollow(FollowSets000.FOLLOW_2);\\n rule__SpaceFCExpression__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0aae3d056d3506c89f7552bc0cf24412\",\n \"score\": \"0.6443541\",\n \"text\": \"public final void rule__XTypeLiteral__Group__2__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14840:1: ( ( '(' ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14841:1: ( '(' )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14841:1: ( '(' )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:14842:1: '('\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXTypeLiteralAccess().getLeftParenthesisKeyword_2()); \\n }\\n match(input,57,FOLLOW_57_in_rule__XTypeLiteral__Group__2__Impl29985); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXTypeLiteralAccess().getLeftParenthesisKeyword_2()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5bed75730855107c4b48658edf5c063c\",\n \"score\": \"0.6442256\",\n \"text\": \"public final void rule__XAssignment__Group_1_1__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4858:1: ( rule__XAssignment__Group_1_1__1__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4859:2: rule__XAssignment__Group_1_1__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XAssignment__Group_1_1__1__Impl_in_rule__XAssignment__Group_1_1__110372);\\n rule__XAssignment__Group_1_1__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a27e9483792ac1f35a263f2c7273d283\",\n \"score\": \"0.6441999\",\n \"text\": \"public final void rule__XAssignment__Group_1__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4797:1: ( rule__XAssignment__Group_1__1__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:4798:2: rule__XAssignment__Group_1__1__Impl\\n {\\n pushFollow(FOLLOW_rule__XAssignment__Group_1__1__Impl_in_rule__XAssignment__Group_1__110250);\\n rule__XAssignment__Group_1__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3214302864ef54d3232bbfbd46416047\",\n \"score\": \"0.6432064\",\n \"text\": \"public final void rule__XSwitchExpression__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:10599:1: ( rule__XSwitchExpression__Group__3__Impl rule__XSwitchExpression__Group__4 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:10600:2: rule__XSwitchExpression__Group__3__Impl rule__XSwitchExpression__Group__4\\n {\\n pushFollow(FOLLOW_rule__XSwitchExpression__Group__3__Impl_in_rule__XSwitchExpression__Group__321645);\\n rule__XSwitchExpression__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XSwitchExpression__Group__4_in_rule__XSwitchExpression__Group__321648);\\n rule__XSwitchExpression__Group__4();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"134f6f8ec96a151c1fb23f8fc40dd3c4\",\n \"score\": \"0.64255357\",\n \"text\": \"public final void rule__Atomic__Group_6__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\t\\n try {\\n // InternalGoatComponentsParser.g:7665:1: ( rule__Atomic__Group_6__3__Impl )\\n // InternalGoatComponentsParser.g:7666:2: rule__Atomic__Group_6__3__Impl\\n {\\n pushFollow(FOLLOW_2);\\n rule__Atomic__Group_6__3__Impl();\\n\\n state._fsp--;\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"72e658dbe4233f9de4d5c575511892e6\",\n \"score\": \"0.64239395\",\n \"text\": \"public final void rule__ExclusiveOrExpressionCompletion__Group__1() throws RecognitionException {\\r\\n\\r\\n \\t\\tint stackSize = keepStackSize();\\r\\n \\r\\n try {\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22153:1: ( rule__ExclusiveOrExpressionCompletion__Group__1__Impl )\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22154:2: rule__ExclusiveOrExpressionCompletion__Group__1__Impl\\r\\n {\\r\\n pushFollow(FOLLOW_rule__ExclusiveOrExpressionCompletion__Group__1__Impl_in_rule__ExclusiveOrExpressionCompletion__Group__145538);\\r\\n rule__ExclusiveOrExpressionCompletion__Group__1__Impl();\\r\\n\\r\\n state._fsp--;\\r\\n if (state.failed) return ;\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n catch (RecognitionException re) {\\r\\n reportError(re);\\r\\n recover(input,re);\\r\\n }\\r\\n finally {\\r\\n\\r\\n \\trestoreStackSize(stackSize);\\r\\n\\r\\n }\\r\\n return ;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7ef7b184dde0085a3d8d2cdb53328351\",\n \"score\": \"0.64230233\",\n \"text\": \"public final void rule__XTypeLiteral__Group__2__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13975:1: ( ( '(' ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13976:1: ( '(' )\\n {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13976:1: ( '(' )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13977:1: '('\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXTypeLiteralAccess().getLeftParenthesisKeyword_2()); \\n }\\n match(input,56,FOLLOW_56_in_rule__XTypeLiteral__Group__2__Impl28216); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXTypeLiteralAccess().getLeftParenthesisKeyword_2()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff1700508e37eea522dbc1ea59b32438\",\n \"score\": \"0.6420546\",\n \"text\": \"public final void rule__XCatchClause__Group__3__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15828:1: ( ( ')' ) )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15829:1: ( ')' )\\n {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15829:1: ( ')' )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15830:1: ')'\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXCatchClauseAccess().getRightParenthesisKeyword_3()); \\n }\\n match(input,58,FOLLOW_58_in_rule__XCatchClause__Group__3__Impl31927); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXCatchClauseAccess().getRightParenthesisKeyword_3()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6a726201a0f6d81490cc16dc43e6adf3\",\n \"score\": \"0.6419447\",\n \"text\": \"public final void rule__XVariableDeclaration__Group_3__0__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:10060:1: ( ( '=' ) )\\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:10061:1: ( '=' )\\n {\\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:10061:1: ( '=' )\\n // ../org.yakindu.sct.generator.genmodel.ui/src-gen/org/yakindu/sct/generator/genmodel/ui/contentassist/antlr/internal/InternalSGen.g:10062:1: '='\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXVariableDeclarationAccess().getEqualsSignKeyword_3_0()); \\n }\\n match(input,13,FOLLOW_13_in_rule__XVariableDeclaration__Group_3__0__Impl20336); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXVariableDeclarationAccess().getEqualsSignKeyword_3_0()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f53d17df25c5fcc0b155a52466ba4e91\",\n \"score\": \"0.64163214\",\n \"text\": \"public final void rule__XVariableDeclaration__Group_3__0() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13166:1: ( rule__XVariableDeclaration__Group_3__0__Impl rule__XVariableDeclaration__Group_3__1 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13167:2: rule__XVariableDeclaration__Group_3__0__Impl rule__XVariableDeclaration__Group_3__1\\n {\\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group_3__0__Impl_in_rule__XVariableDeclaration__Group_3__026679);\\n rule__XVariableDeclaration__Group_3__0__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group_3__1_in_rule__XVariableDeclaration__Group_3__026682);\\n rule__XVariableDeclaration__Group_3__1();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f3eef472ed6a8d481482ee74a5286a80\",\n \"score\": \"0.6413273\",\n \"text\": \"public final void rule__TermExpr__Group_3_1_1__1() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // InternalSafetyParser.g:28209:1: ( rule__TermExpr__Group_3_1_1__1__Impl )\\n // InternalSafetyParser.g:28210:2: rule__TermExpr__Group_3_1_1__1__Impl\\n {\\n pushFollow(FollowSets000.FOLLOW_2);\\n rule__TermExpr__Group_3_1_1__1__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"06695cf3797e540c44b3db93db81d9f4\",\n \"score\": \"0.6412166\",\n \"text\": \"public final void rule__Assignment__Group_3__1__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3291:1: ( ( '=' ) )\\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3292:1: ( '=' )\\n {\\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3292:1: ( '=' )\\n // ../de.hsos.richwps.lang.ui/src-gen/de/hsos/richwps/ui/contentassist/antlr/internal/InternalDSL.g:3293:1: '='\\n {\\n before(grammarAccess.getAssignmentAccess().getEqualsSignKeyword_3_1()); \\n match(input,25,FOLLOW_25_in_rule__Assignment__Group_3__1__Impl6657); \\n after(grammarAccess.getAssignmentAccess().getEqualsSignKeyword_3_1()); \\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9824e0e943d3385c6d9ffd7e82c4fa17\",\n \"score\": \"0.64058334\",\n \"text\": \"public final void rule__XVariableDeclaration__Group__2() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13010:1: ( rule__XVariableDeclaration__Group__2__Impl rule__XVariableDeclaration__Group__3 )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:13011:2: rule__XVariableDeclaration__Group__2__Impl rule__XVariableDeclaration__Group__3\\n {\\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group__2__Impl_in_rule__XVariableDeclaration__Group__226373);\\n rule__XVariableDeclaration__Group__2__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XVariableDeclaration__Group__3_in_rule__XVariableDeclaration__Group__226376);\\n rule__XVariableDeclaration__Group__3();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f5711d1283b9acf5de38301162ac9f72\",\n \"score\": \"0.6403485\",\n \"text\": \"public final void rule__ExclusiveOrExpressionCompletion__Group_1__1() throws RecognitionException {\\r\\n\\r\\n \\t\\tint stackSize = keepStackSize();\\r\\n \\r\\n try {\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22216:1: ( rule__ExclusiveOrExpressionCompletion__Group_1__1__Impl )\\r\\n // ../org.eclipse.papyrus.alf.ui/src-gen/org/eclipse/papyrus/alf/ui/contentassist/antlr/internal/InternalAlf.g:22217:2: rule__ExclusiveOrExpressionCompletion__Group_1__1__Impl\\r\\n {\\r\\n pushFollow(FOLLOW_rule__ExclusiveOrExpressionCompletion__Group_1__1__Impl_in_rule__ExclusiveOrExpressionCompletion__Group_1__145662);\\r\\n rule__ExclusiveOrExpressionCompletion__Group_1__1__Impl();\\r\\n\\r\\n state._fsp--;\\r\\n if (state.failed) return ;\\r\\n\\r\\n }\\r\\n\\r\\n }\\r\\n catch (RecognitionException re) {\\r\\n reportError(re);\\r\\n recover(input,re);\\r\\n }\\r\\n finally {\\r\\n\\r\\n \\trestoreStackSize(stackSize);\\r\\n\\r\\n }\\r\\n return ;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"47b04371fc083364efc3e74d4822641a\",\n \"score\": \"0.6401342\",\n \"text\": \"public final void rule__XSetLiteral__Group__3__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8606:1: ( ( ( rule__XSetLiteral__Group_3__0 )? ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8607:1: ( ( rule__XSetLiteral__Group_3__0 )? )\\n {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8607:1: ( ( rule__XSetLiteral__Group_3__0 )? )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8608:1: ( rule__XSetLiteral__Group_3__0 )?\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXSetLiteralAccess().getGroup_3()); \\n }\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8609:1: ( rule__XSetLiteral__Group_3__0 )?\\n int alt68=2;\\n int LA68_0 = input.LA(1);\\n\\n if ( ((LA68_0>=RULE_ID && LA68_0<=RULE_STRING)||LA68_0==25||(LA68_0>=33 && LA68_0<=34)||LA68_0==39||(LA68_0>=42 && LA68_0<=48)||LA68_0==56||(LA68_0>=59 && LA68_0<=60)||LA68_0==64||LA68_0==66||(LA68_0>=70 && LA68_0<=78)||LA68_0==87) ) {\\n alt68=1;\\n }\\n switch (alt68) {\\n case 1 :\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8609:2: rule__XSetLiteral__Group_3__0\\n {\\n pushFollow(FOLLOW_rule__XSetLiteral__Group_3__0_in_rule__XSetLiteral__Group__3__Impl17663);\\n rule__XSetLiteral__Group_3__0();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n break;\\n\\n }\\n\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXSetLiteralAccess().getGroup_3()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"050b74a8e380b92287ef32c1071deb75\",\n \"score\": \"0.6399743\",\n \"text\": \"public final void rule__XSetLiteral__Group__4__Impl() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8634:1: ( ( '}' ) )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8635:1: ( '}' )\\n {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8635:1: ( '}' )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:8636:1: '}'\\n {\\n if ( state.backtracking==0 ) {\\n before(grammarAccess.getXSetLiteralAccess().getRightCurlyBracketKeyword_4()); \\n }\\n match(input,49,FOLLOW_49_in_rule__XSetLiteral__Group__4__Impl17722); if (state.failed) return ;\\n if ( state.backtracking==0 ) {\\n after(grammarAccess.getXSetLiteralAccess().getRightCurlyBracketKeyword_4()); \\n }\\n\\n }\\n\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7fffcbb0cc502da68e8f3ec19768e826\",\n \"score\": \"0.63934803\",\n \"text\": \"public final void rule__XClosure__Group__3() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9342:1: ( rule__XClosure__Group__3__Impl )\\n // ../org.eclipse.xtext.idea.example.entities.ui/src-gen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:9343:2: rule__XClosure__Group__3__Impl\\n {\\n pushFollow(FOLLOW_rule__XClosure__Group__3__Impl_in_rule__XClosure__Group__319177);\\n rule__XClosure__Group__3__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"abb54025e85ce4e73e96f0c41ed85a29\",\n \"score\": \"0.63912976\",\n \"text\": \"public final void rule__XTypeLiteral__Group__2() throws RecognitionException {\\n\\n \\t\\tint stackSize = keepStackSize();\\n \\n try {\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13963:1: ( rule__XTypeLiteral__Group__2__Impl rule__XTypeLiteral__Group__3 )\\n // ../org.xtext.guicemodules.ui/src-gen/org/xtext/guicemodules/ui/contentassist/antlr/internal/InternalGuiceModules.g:13964:2: rule__XTypeLiteral__Group__2__Impl rule__XTypeLiteral__Group__3\\n {\\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__2__Impl_in_rule__XTypeLiteral__Group__228185);\\n rule__XTypeLiteral__Group__2__Impl();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n pushFollow(FOLLOW_rule__XTypeLiteral__Group__3_in_rule__XTypeLiteral__Group__228188);\\n rule__XTypeLiteral__Group__3();\\n\\n state._fsp--;\\n if (state.failed) return ;\\n\\n }\\n\\n }\\n catch (RecognitionException re) {\\n reportError(re);\\n recover(input,re);\\n }\\n finally {\\n\\n \\trestoreStackSize(stackSize);\\n\\n }\\n return ;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":989697,"cells":{"query_id":{"kind":"string","value":"9d8a72cf87572f166f3811ceb34fa542"},"query":{"kind":"string","value":"Go to home page click login enter username, password click login in the dashboard page check title click logout"},"positive_passages":{"kind":"list like","value":[{"docid":"6f4fbc199935819144b9e42827bf9ad2","score":"0.0","text":"public static void main(String args[]) throws InterruptedException {\n\t\t\tWebDriverManager.chromedriver().setup();\n\t\t\t\n\t\t\tChromeDriver driver = new ChromeDriver();\n\t\t\t\n\t\t\t//Home Page\n\t\t\t//Login Page\n\t\t\t//DashBoard page\n\t\t\t\n\t\t\tHomePage homePage = new HomePage(driver);\n\t\t\tLoginPage loginPage = new LoginPage(driver);\n\t\t\tDashboardPage dashboard = new DashboardPage(driver);\n\t\t\t\n\t\t\tdriver.get(\"https://www.demoqa.com/books\");\n\t\t\t\n\t\t\thomePage.clickLogin();\n\t\t\t\n\t\t\t//enter username and password\n\t\t\t\n\t\t\t\n\t\t\tloginPage.enterUsername(\"viji\");\n\t\t\tloginPage.enterPassword(\"DemoSite@123\");\n\t\t\t\n\t\t\tloginPage.clickLoginBtn();\n\t\t\t\n\t\t\tThread.sleep(4000);\n\t\t\t\n\t\t\tSystem.out.println(\"Heading to dashboard page\");\n\t\t\t//Dashboard page\n\t\t\tdashboard.logoutClick();\n\t\t\t\n\t\t\tdriver.quit();\n\t\t}","title":""}],"string":"[\n {\n \"docid\": \"6f4fbc199935819144b9e42827bf9ad2\",\n \"score\": \"0.0\",\n \"text\": \"public static void main(String args[]) throws InterruptedException {\\n\\t\\t\\tWebDriverManager.chromedriver().setup();\\n\\t\\t\\t\\n\\t\\t\\tChromeDriver driver = new ChromeDriver();\\n\\t\\t\\t\\n\\t\\t\\t//Home Page\\n\\t\\t\\t//Login Page\\n\\t\\t\\t//DashBoard page\\n\\t\\t\\t\\n\\t\\t\\tHomePage homePage = new HomePage(driver);\\n\\t\\t\\tLoginPage loginPage = new LoginPage(driver);\\n\\t\\t\\tDashboardPage dashboard = new DashboardPage(driver);\\n\\t\\t\\t\\n\\t\\t\\tdriver.get(\\\"https://www.demoqa.com/books\\\");\\n\\t\\t\\t\\n\\t\\t\\thomePage.clickLogin();\\n\\t\\t\\t\\n\\t\\t\\t//enter username and password\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\tloginPage.enterUsername(\\\"viji\\\");\\n\\t\\t\\tloginPage.enterPassword(\\\"DemoSite@123\\\");\\n\\t\\t\\t\\n\\t\\t\\tloginPage.clickLoginBtn();\\n\\t\\t\\t\\n\\t\\t\\tThread.sleep(4000);\\n\\t\\t\\t\\n\\t\\t\\tSystem.out.println(\\\"Heading to dashboard page\\\");\\n\\t\\t\\t//Dashboard page\\n\\t\\t\\tdashboard.logoutClick();\\n\\t\\t\\t\\n\\t\\t\\tdriver.quit();\\n\\t\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"ed9caae8a099b6c2fbeb17d325d2b387","score":"0.7512464","text":"@And(\"^Clicks on login link in home Page$\")\r\n public void Click_LogIn() throws Throwable {\r\n \thomePage.click_LogIn();\r\n }","title":""},{"docid":"e97877564d1e4825de4ca62b2b131588","score":"0.75004756","text":"private void goLogin() {\r\n\t}","title":""},{"docid":"3d699a6e76f1379b1556178c5d733438","score":"0.73879665","text":"public void clickLogin(){\r\n\t\tlogin.click();\r\n\t}","title":""},{"docid":"7d147acfb9cb727cb249ec359c2974c0","score":"0.73588467","text":"public void clickLogin()\n\t\t{\n\t\t\tlogin.click();\n\t\t}","title":""},{"docid":"e0493168cae5cc3cf680b47c56463123","score":"0.7350055","text":"public HomePageFlipkar getuserNamePasswor(String un, String Pass){\n username_ele.sendKeys(un);\r\n password_ele.sendKeys(Pass);\r\n submit_Button.click();\r\n // after login user redirected to homepage. \r\n return new HomePageFlipkar(); \r\n}","title":""},{"docid":"cbd65f9c0c43aea3823cb83f968f79a0","score":"0.73455995","text":"public void clickLogin() {\r\n\t\tlogin.click();\r\n\t}","title":""},{"docid":"a030e8338bda977db310dc4dec67068d","score":"0.7298757","text":"public void logout(){\n\n Utils.clickLink(\"Welcome Admin\");\n Utils.waitForPageToLoad(20);\n Utils.clickLink((\"Logout\"));\n\n\n }","title":""},{"docid":"7e912eb92c8ea18c39a587d0b46ebdfe","score":"0.7289501","text":"public void goTologinPage(){\n\t\t\n\t\tsigninButton.click();\n\t\tsigninButton.submit();\n\t\t\n\t}","title":""},{"docid":"68f0a87de2eb72e5a3e757399b659b06","score":"0.71978796","text":"@When(\"^user login too home page$\")\n\tpublic void the_user_login_to_the_home_page() {\n\t mylogin.loginPage();\n\t}","title":""},{"docid":"8b82694f05f9f838f7523f6714dea076","score":"0.7172958","text":"public MultiplyHomePage clickLogin() {\r\n\t\tclick(buttonLogin, WaitStrategy.PRESENCE, \"Login Button\");\r\n\t\treturn new MultiplyHomePage();\r\n\t}","title":""},{"docid":"8b6824182df2d4e732994282e25e4ddd","score":"0.71670794","text":"public void loginToPage(String username, String password);","title":""},{"docid":"93fddc649a0dc09a90ae80c13d9c381b","score":"0.71052563","text":"@Test\n\tpublic void Login_02_Login_To_System() {\n\t\thomePage.clickToLoginButton();\n\t\tloginPage = new LoginPageObject(driver);\n\t\t\n\t\t//step 2: input email textbox\n\t\tloginPage.enterToEmailTextbox(emailAddress);\n\t\t//step 3: input password\n\t\tloginPage.enterToPasswordTextbox(password);\n\t\t//step 4: click login button\n\t\tloginPage.clickToLoginButton();\n\n\t\thomePage = new HomePageObject(driver);\n\t\t\n\t\t//step 5: verify homepage logo displayed\n\t\tAssert.assertTrue(homePage.isHomePageSliderDisplayed());\n\t\t\n\t}","title":""},{"docid":"1a6d8af714b2422b07e866804784e372","score":"0.7077842","text":"public void login(){\n enterBuyMeWebSite();\n pressRegistration();\n pressRegistration2();\n enterCredentials();\n\n\n }","title":""},{"docid":"1b3eedd188eb095353e35955fd3c33f7","score":"0.70405805","text":"public void doLogin(){\n\t\tif (waitForRequiredElement(DashboardPageElements.loginHeaderOption, StaticConfiguration.GENERAL_WAIT_SECONDS)) {\r\n\r\n\t\t\tclick(DashboardPageElements.loginHeaderOption); // Click on Login Option\r\n\r\n\t\t\tif (waitForRequiredElement(LoginPageElements.loginFrame, StaticConfiguration.GENERAL_WAIT_SECONDS)) {\r\n\r\n\t\t\t\t// We need to switch frame to access elements with it\r\n\t\t\t\tswitchToFrameByElemenet(LoginPageElements.loginFrame);\r\n\r\n\t\t\t\t// We will enter Login Credentials\r\n\t\t\t\tsetText(LoginPageElements.userNameField, TestData.USER_NAME);\r\n\t\t\t\tsetText(LoginPageElements.passwordField, TestData.PASSWORD);\r\n\t\t\t\tclick(LoginPageElements.signInButton);\r\n\t\t\t\t\t\r\n\t\t\t\t// After enter Credentials let's try to Login by clicking Login Button\r\n\t\t\t\r\n\t\t\t\tCommanUtilities.logCreator(3, \"User Credentials Entered\");\r\n\t\t\t}\r\n\t\t}\r\n\t}","title":""},{"docid":"7917b0259acf0d73600c154bb639e8a8","score":"0.70202047","text":"public void FinalLogin() {\n\t\tsignin.click();\n\t}","title":""},{"docid":"8fddac715ba6e857429bc7f53ebba798","score":"0.70171285","text":"public void login() {\n\t\t\n\t}","title":""},{"docid":"3175caf50788b9bf47fcef022775200a","score":"0.69936705","text":"public String GotoLogin() throws HeadlessException, AWTException, IOException\n\t{\n\t\t\t//get the title of the current page before login\n\t\t\tString pageTitleBeforeLogin=BrowserFactory.driver.getTitle();\n\t\t\n\t\t\t//click on the person figure on the left top banner of home page\n\t\t\tpFlag.click();\n\t\t\t\n\t\t\t//wait for Login item displaying in the drop-down menu\n\t\t\t//BrowserFactory.driver.manage().timeouts().implicitlyWait(20, TimeUnit.SECONDS);\n\t\t\t//CustomWait.wait(\"//*[@id='user-nav-account']/li[7]/a\", 5, 1);\n\t\t\t\n\t\t\t//click on \"Login\" menu item\n\t\t\tlogin.click();\n\t\t\t\n\t\t\t//wait for page loading after clicking Login. The xpath is the title bar's .\n\t\t\tCustomWait.wait(\"//h2[contains(.,'Login To GrabOne ')]\", 5, 1);\n\t\t\t\n\t\t\t//verify if login page is launched by page title.\n\t\t\tassertEquals(BrowserFactory.driver.getTitle(),\"Login To GrabOne\",\"Login page isn't launched properly\");\n\t\t\ttestLog.log(Status.PASS, \"Go to Login page successfully.\");\n\t\t\t\n\t\t\treturn pageTitleBeforeLogin;\n\t\t\t\t\t\t\n//\t\t\t//After login, check if the AUT returns to the previous page before login\n//\t\t\tString titleAfterLogin=BrowserFactory.driver.getTitle();\n//\t\t\tAssert.assertEquals(titleAfterLogin, titleBeforeLogin, \"Not back to the previous page.\");\t\t\t\n\t\t\t\n\t}","title":""},{"docid":"83d9ec9d3e9d94c188d34c3eceea0bc8","score":"0.699357","text":"void loginAction();","title":""},{"docid":"90865e784efae770303de465093337c8","score":"0.6979264","text":"void clickLoginButton();","title":""},{"docid":"b612cfbf6f0a89397cc31372ac3e549a","score":"0.69492894","text":"public void Click_Login() throws Exception{\n\t\tfunction.click(Login);\n\t}","title":""},{"docid":"1d876089d31333ea87802791c63033e0","score":"0.6942271","text":"@Given(\"^Click on login page in home page$\")\n\tpublic void click_on_login_page_in_home_page() throws Throwable {\n\t\t\n\t\tLoginPage l = new LoginPage(driver);\n\t\tl.getLogin().click();\n\t\t\n\t}","title":""},{"docid":"cd40913335fa3e65ac674cf2dc9905a3","score":"0.6920848","text":"void login();","title":""},{"docid":"adbc23b1ddd83cfd6c355c9eb662a68a","score":"0.69189495","text":"public void clickOnLogin() {\n\n\t\tdriver.findElement(By.xpath(\"//*[@id=\\\"root\\\"]/div/div/div[2]/div/div[1]/div/div/div[2]/div/div/div/div/button[1]/span[1]\")).click();\n\n\t}","title":""},{"docid":"3cbd6b5cba5795f05016b7bc17831a80","score":"0.69005793","text":"public void login() {\n\t}","title":""},{"docid":"470e960f6d5fa931e7245fbadb49b851","score":"0.68999803","text":"void logout();","title":""},{"docid":"17fac04bdf019e35c8d571ac3487be07","score":"0.6899843","text":"public LoginPage clickFormAuthentication(){\n clickLink(\"Form Authentication\");\r\n return new LoginPage(driver) ;\r\n\r\n }","title":""},{"docid":"779181ca68b406019f0f42c94b34c5d5","score":"0.68868166","text":"@Test\n public void login1() throws Exception {\n\n loginPage.open();\n\n timelinePage=loginPage.loginAs(user1);\n\n }","title":""},{"docid":"87a50994d57acdcfaae3d363063dfe01","score":"0.68825","text":"@Then(\"user should be able to see dashbord page or stay on loginpage\")\n\tpublic void user_should_be_able_to_see_dashbord_page_or_stay_on_loginpage() {\n\t\tString str = driver.getTitle();\n\t\tif(str.equals(\"actiTIME - Login\")) {\n\t\t\tdriver.close();\n\t\t\tSystem.out.println(\"Invalid login\");\n\t\t}\n\t\telse\n\t\t{\n\t\t\tSystem.out.println(\"Valid login \" + driver.getTitle());\n\t\t\tdriver.findElement(By.id(\"logoutLink\")).click();\n\t\t\tdriver.close();\n\t\t}\n\t}","title":""},{"docid":"57e19a8ec68a1a76fe2328699dc9fd07","score":"0.6879883","text":"@Given(\"^user is on Home Page$\")\n\tpublic void user_is_on_Home_Page() throws Throwable {\n\t\t \n\t\t Actions action = new Actions(driver);\n\t\t WebElement we = driver.findElement(By.id(\"nav-link-accountList\"));\n\t\t action.moveToElement(we).moveToElement(driver.findElement(By.xpath(\"//*[@id='nav-item-signout-sa']\"))).click().build().perform();\n\t \n\t}","title":""},{"docid":"af0f2a3d57a4ae24f2cf19e75816f60f","score":"0.68766737","text":"private void logAs(String email, String password) {\n\t\t// Vamos al formulario de logueo.\n\t\tPO_HomeView.clickOption(driver, \"login\", \"class\", \"btn btn-primary\");\n\t\t// Rellenamos el formulario\n\t\tPO_LoginView.fillForm(driver, email, password);\n\t\t// Comprobamos que entramos en la pagina privada de Alumno\n\t\tPO_View.checkElement(driver, \"id\", \"userHeader\");\n\t}","title":""},{"docid":"bd32a28bf43fa6c82c73511bbd6cd063","score":"0.6860168","text":"public void login(String name, String pass){\n\n typeInUserName(name);\n typeInPassword(pass);\n clickLoginButton();\n if(driver.getTitle().equalsIgnoreCase(\"Educosoft Requirements\"))\n { passReqpage();}\n\n }","title":""},{"docid":"59494d7d9de2362925e0aa9c3f44a872","score":"0.68568355","text":"private void login() {\n String username = this.textUsername.getText().toString();\n String password = this.textPassword.getText().toString();\n //mengecek yang diinputkan harus 2 parameter username dan password\n boolean loginCorrect = this.checkCredentials(username, password);\n if(loginCorrect)\n {\n //jika login benar dan checkboxnya dicentang\n boolean remember = this.cekRemember.isChecked();\n if(remember)\n {\n //maka akan memanggil kembali fungsi saveCredentials\n this.saveCredentials();\n }\n //menjalankan fungsi openHome\n this.openHome(username);\n }\n //jika proses login salah\n else\n {\n //tampil pemberitahuan meggunakan Toast\n Toast.makeText(this.getApplicationContext(), \"Invalid username and/or password!\",\n Toast.LENGTH_SHORT).show();\n }\n }","title":""},{"docid":"c74160ceba44c2548dd2f05d85438624","score":"0.68412256","text":"public void logout() {\n\t\tdriver.findElement(By.xpath(\"//a[normalize-space()='IrfanullahAnsari']\")).click();\n\t\tdriver.findElement(By.xpath(\"//a[normalize-space()='Sign out']\")).click();\n\t}","title":""},{"docid":"cce1f1c7a808aafaed87b672c124b088","score":"0.684116","text":"@Given(\"^Click on Login$\")\n\tpublic void click_on_Login() throws Throwable {\n\t poHP.clickLogin();\n\t}","title":""},{"docid":"3944c2a51beabb64db674870f6e6fc70","score":"0.6806749","text":"@Test\n public void LoginTest1() {\n\t\tdriver.findElement(By.id(\"username\")).sendKeys(\"demo@techfios.com\");\n\t\t//pass password on password field\n\t\tdriver.findElement(By.id(\"password\")).sendKeys(\"abc123\");\n\t\t//click on login\n\t\tdriver.findElement(By.name(\"login\")).click();\n }","title":""},{"docid":"7561953851caf3eee442506f8c59289b","score":"0.6806547","text":"@Test(priority = 1)\r\n\tpublic static void validLogin() {\r\n\t\tString un =Excel.getData(EXECEL_PATH, SHEET, 1, 0);\r\n\t\tString passwd =Excel.getData(EXECEL_PATH, SHEET, 1, 1);\r\n\t\tString title =Excel.getData(EXECEL_PATH, SHEET, 1, 2);\r\n\t\t\r\n\t\tLoginPage l = new LoginPage(driver);\r\n\t\tl.getUsername(un);\r\n\t\tl.getPassword(passwd);\r\n\t\tl.setLoginBtn();\r\n\t\t\r\n\t\tEnterTimeTrack et = new EnterTimeTrack(driver);\r\n\t\tet.verifyHomePage(driver, 5, title);\r\n\t}","title":""},{"docid":"764ffab9d1f8df4bbbc379b31273917f","score":"0.6801196","text":"@Given(\"User clicks on sign in\")\r\n\tpublic void user_clicks_on_sign_in() {\n\t\thp = new HomePage(driver);// aqui se inicializa una instancia \r\n\t\thp.clickOnSignIn();\r\n\t\t//driver.manage().timeouts().implicitlyWait(10, TimeUnit.SECONDS);\r\n\t\t\r\n\t}","title":""},{"docid":"42c6fce7fdf015c0609eef5be09691e8","score":"0.6792854","text":"@Test\n public void LoginTest2() {\n\t\tdriver.findElement(By.id(\"username\")).sendKeys(\"demo@techfios.com\");\n\t\t//pass password on password field\n\t\tdriver.findElement(By.id(\"password\")).sendKeys(\"abc123\");\n\t\t//click on login\n\t\tdriver.findElement(By.name(\"login\")).click();\n }","title":""},{"docid":"d9c811c0ec3e2a8948ccd20a8999076b","score":"0.67923045","text":"private void loginLogout(){\n boolean isLoggedin = isLoggedin();\n if (!isLoggedin && commonDetails.isLogin()) {\n login(commonDetails.getCountry());\n } else if (isLoggedin && !commonDetails.isLogin()) {\n logout();\n }\n }","title":""},{"docid":"3c6c99d4a50653bd007aae5b6e8eea50","score":"0.67875427","text":"@Test\n @Parameters({\"uname\",\"upass\"})\n public void Login(String uname,String upass) {\n\t\tdriver.navigate().to(\"http://newtours.demoaut.com/mercurywelcome.php\");\n\t\t//driver.manage().window().maximize();\n\t\tdriver.findElement(By.linkText(\"SIGN-ON\")).click();\n\t\tdriver.findElement(By.name(\"userName\")).sendKeys(uname);\n\t\tdriver.findElement(By.name(\"password\")).sendKeys(upass);\n\t\tdriver.findElement(By.name(\"login\")).click();\n\t\tdriver.quit();\n }","title":""},{"docid":"a19c1998f28f7884bf0e93857ea9cd10","score":"0.6780522","text":"@Test(priority = 2)\r\n\tpublic static void inValidLogin() {\r\n\t\tString un =Excel.getData(EXECEL_PATH, SHEET, 1, 0);\r\n\t\tString passwd =Excel.getData(EXECEL_PATH, SHEET, 1, 0);\r\n\t\tString title =Excel.getData(EXECEL_PATH, SHEET, 1, 2);\r\n\t\t\r\n\t\tLoginPage l = new LoginPage(driver);\r\n\t\tl.getUsername(un);\r\n\t\tl.getPassword(passwd);\r\n\t\tl.setLoginBtn();\r\n\t\t\r\n\t\tEnterTimeTrack et = new EnterTimeTrack(driver);\r\n\t\tet.verifyHomePage(driver, 5, title);\r\n\t}","title":""},{"docid":"d35feaecc2a0d40f7655222955870f50","score":"0.6777101","text":"public void loginPage() {\r\n\t\tthis.fenetre.setPanelPrincipale(new LoginController(this).getView().getPanel());\r\n\t}","title":""},{"docid":"ff01c1695d2ca6ab6a1b7fcc5e774bca","score":"0.6754757","text":"public LoginPage clickOnLogin(){\n JavascriptExecutor js=(JavascriptExecutor) getDriver();\n WebElement logInButton= (WebElement) js.executeScript(\"return document.querySelector(\\\"body > app-root\\\").shadowRoot.querySelector(\\\"header > ia-topnav\\\").shadowRoot.querySelector(\\\"div.topnav > primary-nav\\\").shadowRoot.querySelector(\\\"nav > div.user-info > login-button\\\").shadowRoot.querySelector(\\\"div > span > a:nth-child(2)\\\")\");\n logInButton.click();\n return new LoginPage();\n }","title":""},{"docid":"3f5440dc302bb0afe1f4127012db54a8","score":"0.6749769","text":"public static void forcedLogOut(){\n\tString sURL;\n\tWebDriver driver = WebDriverUtil.getDriver();\n\tPageFactory.initElements(driver, login);\n\tPageFactory.initElements(driver, Home);\n\tPageFactory.initElements(driver, dashboard);\n\ttry {\n\t\tgetLogoutURL();\n\t\tif( WebObjectUtil.isElementPresent(dashboard.getnav_UserNameDropDown()) )\n\t\t{\n\t\t\tnav_Logout();\n\t\t}else if( WebObjectUtil.isElementPresent(login.getNav_SignOutLink())){\n\t\t\tnav_Signout();\n\t\t}else {\n\t\t\tdriver.get(sLogoutUrl);\n\t\t\tdriver.get(sSignOutUrl);\n\t\t\tbLoginStatus=false;\n\t\t\tWebObjectUtil.bCurrentTestStopped=false;\n\t\t}\n\t\t\n\t} catch (Exception e2) {\n\t\tLoggerUtil.log_type_error(\"Did not logged out properly, Logging out before login as different user\");\n\t\tdriver.get(sLogoutUrl);\n\t\tdriver.get(sSignOutUrl);\n\t\tbLoginStatus=false;\n\t\tWebObjectUtil.bCurrentTestStopped=false;\n\t}\n\t\n\t\n\ttry {\n\t\tString sBodyText = driver.findElement(By.tagName(\"body\")).getText();\n\t\t if (sBodyText.contains(\"You are signed in as\")){\n\t\t\t System.out.println(\"body text : \" + sBodyText);\n\t\t\t nav_Logout();\n\t\t\t driver.manage().timeouts().implicitlyWait(30, TimeUnit.SECONDS);\n\t\t\t bLoginStatus=false;\n\t\t }\n\t} catch (Exception e1) {\n\t\tLoggerUtil.log_type_error(\"Did not logged out properly, Logging out before login as different user\");\n\t}\n\t \n}","title":""},{"docid":"a1861b94a026d0077b94367cf23cab49","score":"0.6747495","text":"public void loginMethod() {\n\t\t\r\n\t}","title":""},{"docid":"f01ac019d9e5b3625e9075e45bc4dd28","score":"0.6739312","text":"public void ValidatLoginPage() {\n\t\tSystem.out.println(\"login page is automated successfully\");\n\n\t}","title":""},{"docid":"5d992425f870cd63470aedad22cebef7","score":"0.67321503","text":"@Before(\"@CheckLogin\")\n public void checkLogin() {\n PageTransporter.goToPage(\"home\");\n headerPage = new HeaderPage();\n headerPage.dropDownAccountMenu();\n try {\n if (\"Login\".equals(headerPage.getLoginText())) {\n headerPage.pressLogin();\n loginPage = new LoginPage();\n loginPage.login(NinjaStoreConfig.getInstance().getCredentials(\"email\"),\n NinjaStoreConfig.getInstance().getCredentials(\"password\"));\n }\n } catch (Exception e) {\n }\n }","title":""},{"docid":"3e9eb6ec31c3f80753fbf026b8761b29","score":"0.67300004","text":"public void handleLogin(LoginEvent e)\r\n {\r\n if(!SessionController.getInstance().checkLogin(e.getUsername(),e.getPassword()))\r\n {\r\n refreshLogin();\r\n //Notification.show(\"Incorrect Username or Password\",3000,Notification.Position.TOP_CENTER);\r\n }\r\n else\r\n { //Re-direct user to home page\r\n getUI().ifPresent(ui-> ui.getPage().executeJavaScript(\"window.location.href = '' \"));\r\n }\r\n }","title":""},{"docid":"ef8f6aa2550123f289262638b310bf30","score":"0.67242086","text":"public static void goToLoginPage() {\n \t\tUrlBuilder builder = new UrlBuilder();\n \t\tbuilder.setProtocol(Location.getProtocol());\n \t\tbuilder.setHost(Location.getHost());\n \t\tString path = Location.getPath().contains(\"index.html\") ? Location.getPath().replace(\n \t\t\t\t\"index.html\", \"login.html\") : Location.getPath() + \"login.html\";\n \t\tbuilder.setPath(path);\n \t\tfor (Entry<String, List<String>> entry : Location.getParameterMap().entrySet()) {\n \t\t\tif (\"session_id\".equals(entry.getKey()) || \"error\".equals(entry.getKey())) {\n \t\t\t\t// do not copy the session id parameter\n \t\t\t} else {\n \t\t\t\tbuilder.setParameter(entry.getKey(), entry.getValue().toArray(new String[0]));\n \t\t\t}\n \t\t}\n \t\tLocation.replace(builder.buildString().replace(\"127.0.0.1%3A\", \"127.0.0.1:\"));\n \t}","title":""},{"docid":"06a50b0f52663ff1d5827287864f7033","score":"0.67229426","text":"@Test(dataProvider = \"getData\")\n\tpublic void basePageNavigation(String username, String password) throws IOException {\n\n\t\tdriver.get(URL);\n\t\tlog.info(\"URL is Launched\");\n\t\tHomePage hp = new HomePage(driver);\n\t\tLoginPage lp= hp.login();\n\t\tlp.getUserName().sendKeys(username);\n\t\tlp.getPassword().sendKeys(password);\n\t\tlp.academyLogin().click();\n\t\tlog.info(\"LogIn into the Application\");\n\t\t\n\t\tForgotPassword fp = lp.getForgotPassword();\n\t\tfp.Username().sendKeys(\"abc123@gmail.com\");\n\t\tfp.sendInstruction().click();\n\t}","title":""},{"docid":"9646f30401406dd7ccb3df1d1a18c140","score":"0.67198247","text":"@BeforeTest\r\n\tpublic void login() {\r\n\t\tlogin.loginPage(\"url\",\"bayampuser2.2086+007@gmail.com\", \"password1\");\r\n\t}","title":""},{"docid":"a78f591da2f1fcb8dc8e20af89a1edc5","score":"0.6718342","text":"public void clicarLogin() {\n\t\t\n\t\tIntroPage introPage = new IntroPage(driver);\n\t\tintroPage.getButtonFazerLogin().click();\n\t}","title":""},{"docid":"2d3666aabdedc1727c5d616d50012979","score":"0.67140096","text":"public static void Login(){\n\t\tReporter.log(\"Navigate to url\");\n\t\tdriver.navigate().to(config.getProperty(\"testSiteURL_Feature5\"));\n\t\t\n\t\tReporter.log(\"maximize the browser window\");\n\t\tdriver.manage().window().maximize();\n\t\t\n\t\tReporter.log(\"Enter Username\");\n\t\tAssert.assertTrue(TestUtility.setText(\"Login_Username\", config.getProperty(\"username\")), \"User is not able to input username\");\n\t\t\n\t\tReporter.log(\"Enter Password\");\n\t\tAssert.assertTrue(TestUtility.setText(\"Login_Password\", config.getProperty(\"password\")), \"User is not able to input password\");\n\t\t\n\t\tReporter.log(\"Clicking on the Sign In Button\");\n\t\tAssert.assertTrue(TestUtility.clickObj(\"Sign In\"), \"User is not able to click on Sign In button\");\n\t\t\n\t\tReporter.log(\"Verify user logged in successfully by checking existance of Create New Campaign button on dashboard\");\n\t\tAssert.assertTrue(TestUtility.isObjPresent(\"BTN_CreateNewCampaign\", 3), \"Create New Campaign button is not available on page\");\n\t\t\n\t}","title":""},{"docid":"d061dfcbfdcf910f327ec5a07de7b128","score":"0.6706038","text":"@Test(priority=3) \n\tpublic void loginTest() {\n\t\thomePage = loginPage.login(prop.getProperty(\"username\"), prop.getProperty(\"password\"));\n\t}","title":""},{"docid":"ebd5fb1b4d7727e416f657b3b08fe155","score":"0.67043227","text":"public static void main(String[] args) throws InterruptedException {\n\t\tSystem.setProperty(\"webdriver.chrome.driver\",\n\t\t\t\t\"C:\\\\selenium\\\\chromedriver_win32\\\\chromedriver.exe\");\n\t\t\n\t\t//creating webdriver instance\n\tWebDriver driver = new ChromeDriver();\n\t//get the webpage\n\n\tdriver.get(\"https://demoqa.com/login\");\n\t//max the page\n\tdriver.manage().window().maximize();\n\t//retriving the title of the page\n\tString title=driver.getTitle();\n\tSystem.out.println(\"the title of the page is : \"+title);\n\t\n\ndriver.findElement(By.xpath(\"//input[contains(@placeholder,'UserName')]\")).sendKeys(\"testuser\");\ndriver.findElement(By.xpath(\"//input[contains(@id,'password')]\")).sendKeys(\"Password@123\");\n\t\t\n driver.findElement(By.xpath(\"//button[contains(@id,'login')]\")).click();\n\t\n//uName.sendKeys(\"testuser\");\n//pswd.sendKeys(\"Password@123\");\n//loginBtn.click();\n\n\ndriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS); \n\ntry {\n \nWebElement logoutBtn = driver.findElement(By.xpath(\"//div[@class='text-right col-md-5 col-sm-12']//button[@id='submit']\"));\n \nif(logoutBtn.isDisplayed()){\n logoutBtn.click();\n System.out.println(\"LogOut Successful!\");\n }\n} \ncatch (Exception e) {\n\t System.out.println(e);\n System.out.println(\"Incorrect login....\");\n}\n\ndriver.quit();\n}","title":""},{"docid":"a3273b133720b1dd90cd32d65286b395","score":"0.6699957","text":"public String clickonloginbtn()\n\t{\n\t\tloginbutton.click();\n\t\tString messagetxt= Welcomemessgae.getText();\n\t\treturn messagetxt;\n\t}","title":""},{"docid":"78a5a9b659751c63df5bc016822a4478","score":"0.66982436","text":"public void login_button()\r\n\t{\r\n\t\tdriver.findElement(login).click();\r\n\t}","title":""},{"docid":"362de2889201600636fa2acaa1cbd40a","score":"0.6696895","text":"@Parameters({\"url\",\"username\",\"password\"})\r\n\t@Test\r\n\tpublic void TC_001_validateMenuHome(String url,String username, String password) throws InterruptedException {\r\n\t\tsetUpBrowser();\r\n login(url,username,password);\r\n HomePage homepage = new HomePage(driver);\r\n boolean result = homepage.clickonMenuItem(\"HOME\",\"Patient Portal\");\r\n Assert.assertTrue(result);\r\n closeBrowser();\r\n\t}","title":""},{"docid":"2b94ccca4aab940be0cce420a8b62b9a","score":"0.66892934","text":"void logout(String login);","title":""},{"docid":"149f716b5f95ac52eda707cf673ae6b6","score":"0.6685221","text":"@Test\n public void LoginTest() {\n\t\tdriver.findElement(By.id(\"username\")).sendKeys(\"demo@techfios.com\");\n\t\t//pass password on password field\n\t\tdriver.findElement(By.id(\"password\")).sendKeys(\"abc123\");\n\t\t//click on login\n\t\tdriver.findElement(By.name(\"login\")).click();\n }","title":""},{"docid":"9e8b5c5f7dd68b21588c15680940fb09","score":"0.66801745","text":"public static void logOut(){\n\t\t\n\t\tLOGGER.info(\"############ INSIDE LOGOUT ########################\");\n\t\t//sign out could be different in diff pages...u can driver.findelement(by)....and pass the locator to this sign out method\n\t\tWelcomePage_PO.clickSignOut();\n\t\tSeleniumUtil.ValidateWebElementPresence(By.className(HomePage_PO.HOME_PAGE_SIGNIN_CLASSNAME));\n\t\t\t\n\t\t//Assert.assertTrue(\"LogOut Successful\", true);\n\t\tLOGGER.debug(\"############ LOGOUT SUCCESSFUL ########################\");\n\t\t\n\t\t\t\t\n\t\t\n\t}","title":""},{"docid":"d9e8fad76adba76fc438c68217ddd558","score":"0.6671912","text":"@Test\n\tpublic void loginAlpha() {\n\t\tdriver.findElement(By.xpath(OR.getProperty(\"email\"))).sendKeys(\"manish.thapa@utilidex.com\");\n\t\tdriver.findElement(By.xpath(OR.getProperty(\"passward\"))).sendKeys(\"07Oct@2019\");\n\t\t\n\t\t//Click on the sign button \n\t\tdriver.findElement(By.xpath(OR.getProperty(\"signinBtn\"))).click();\n\t}","title":""},{"docid":"324ea82d5967529bc71333908407f28c","score":"0.6670626","text":"@When(\"^Click on Login$\")\n\tpublic void click_on_Login()\n\t{\n\t\tWebElement a = driver.findElement(By.xpath(\"//input[@name='submit']\"));\n\t\tobj.Click(a);\t\n\t}","title":""},{"docid":"0fe12ed2fc1648d6e4bad6dd601e8eec","score":"0.6662507","text":"@Test\n\tpublic void loginTest() {\n\t\t\n\t\tSignInPage signin=PageFactory.initElements(Constants.driver.switchTo().window(Constants.driver.getWindowHandle()), SignInPage.class);\n\t\t//signin.mousehoverOnSignInTab();\n\t\t//signin.clickonSignInTab();\n\t\t//Constants.driver.manage().timeouts().implicitlyWait(2000, TimeUnit.MILLISECONDS);\n\t\tsignin.clearUsername();\n\t\tsignin.enterUsername(\"priyadeosarkar91@gmail.com\");\n\t\tsignin.continueToLogin();\n\t\tConstants.driver.manage().timeouts().implicitlyWait(2000, TimeUnit.MILLISECONDS);\n\t\tsignin.clearPassword();\n\t\tsignin.enterPassword(\"***\");\n\t\tsignin.clickonLogin();\n//\t\tsignin.clickonAuthenticationLogin();\n\t\ttry {\n\t\t\tThread.sleep(5000);\n\t\t} catch (InterruptedException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\t\n\t}","title":""},{"docid":"b03ebcea67147ce66c7070fdb17a4991","score":"0.66548175","text":"@Test\n public void TC1verifyUserLogOut() {\n\n getToolbar().perform(MainActivityAuthenticatedUtility.customSwipeRightSlow());\n\n getLogoutNavigationControl().perform(click());\n\n AuthenticationUtility.findLoginButton().check(matches(isDisplayed()));\n }","title":""},{"docid":"a323e7a0102a3954e574bd5683630944","score":"0.6646233","text":"@Override\n public void checkLogin(String username, String password) {\n if (Repository.getRepositoryInstance().login(username, password)){\n AdminDataPanel panel = new AdminDataPanel(this.viewToControl.mainFrameToUse);\n panel.setupAndDisplay();\n panel.setController(new AdminDataController(panel));\n }\n else {\n JOptionPane.showMessageDialog(null, \"Incorrect login credentials.\");\n }\n//end of modifiable zone..................E/23d065fa-ec53-4276-8726-f9b1bf453017\n }","title":""},{"docid":"7bdce519154725a3e4b0a53fc0de3ec6","score":"0.66442484","text":"public void Loginclick() {\n\t\tdriver.findElement(By.xpath(\"//button[@id= 'login']\")).click();\n\t}","title":""},{"docid":"737763aeea8d3d72be286fe293ad3d20","score":"0.6642014","text":"@Test\n public void login() {\n onView(withId(R.id.email)).perform(replaceText(\"a@a.com\"));\n onView(withId(R.id.password)).perform(replaceText(\"aaaaaa\"));\n onView(withId(R.id.email_sign_in_button)).perform(click());\n\n /* Check to see if returned to landing page */\n onView(withId(R.id.logoutButton)).perform(click());\n onView(withId(R.id.email_sign_in_button)).check(matches(withText(\"Log In\")));\n\n }","title":""},{"docid":"e13322ca9dba5da4c8bb65dae94013b8","score":"0.6630808","text":"public void Click_MeLogin() throws Exception{\n\t\tfunction.click(Me_Login);\n\t}","title":""},{"docid":"626c444fbe7219705110dd09b950c9e7","score":"0.66187596","text":"@Test(priority = 1)\n\tpublic void login() {\n\t\tdriver.get(\"https://aertrip.com/\");\n\t\ttest.log(LogStatus.PASS, \"navigated to the url\");\n\t\tdriver.manage().timeouts().implicitlyWait(30, TimeUnit.SECONDS);\n\t\tdriver.findElement(By.xpath(\"//div[@class='registerSignIn js-register-signin']\")).click();\n\t\tdriver.manage().timeouts().implicitlyWait(30, TimeUnit.SECONDS);\n\n\t\ttry {\n\t\t\tdriver.findElement(PagefactoryLogin.uname).sendKeys(\"deepakpal1411@gmail.com\");\n\t\t\tdriver.findElement(PagefactoryLogin.pass).sendKeys(\"password\");\n\t\t\tdriver.findElement(PagefactoryLogin.loginbutton).click();\n\t\t\ttest.log(LogStatus.PASS, \"logged in to website\");\n\t\t} catch (Exception e) {\n\t\t\ttest.log(LogStatus.FAIL, \"Unable to Looged into the application\");\n\t\t\te.printStackTrace();\n\t\t}\n\t}","title":""},{"docid":"5e18680141e72780455ec51bc795c57e","score":"0.66163105","text":"void login(){\n\t\tSystem.out.println(\"The user has logged in...!\");\n\t}","title":""},{"docid":"0dea303db2eed1e879fb6371618731c5","score":"0.6614414","text":"void LoginSystem();","title":""},{"docid":"870ae0292fbccf9a38520a8e273c5345","score":"0.6599574","text":"public DashboardPage selectLogin() {\n loginEl().click();\n return new DashboardPage();\n }","title":""},{"docid":"ce6ace8e23dc1d2ba503869b1e29c432","score":"0.65975887","text":"void navigateToLoginPage();","title":""},{"docid":"6851cd22fead309b9dfc8e095865694b","score":"0.6593941","text":"@When(\"User clicks on Login button and navigate to Login page\")\n\tpublic static void landing_welcome_positive_tc_003() throws Exception {\n\t\ttry {\n\t\t\tpage_wait(20);\n\t\t\tclick(\"welcome_login\");\t\t\t\n\t\t\tclick(\"continue\");\n\t\t\tpage_wait(30);\n\t\t\tvalue = driver.findElement(By.xpath(OR_reader( \"login_page_title\"))).isDisplayed();\n\t\t\tAssert.assertEquals(true,value);\n\t\t}catch(Exception e) {\n\t\t\te.printStackTrace();\n\t\t\ttakeScreenShot(\"landing_welcome_positive_tc_003\");\n\t\t}\n\t\tclose();\n\t}","title":""},{"docid":"6d154489e037970a801a485e1728ec2b","score":"0.65891916","text":"public void logout() {\n }","title":""},{"docid":"60c4a0323d8ed24870487aead379bf0f","score":"0.6581753","text":"public void Login(String email,String password) {\r\n\tthis.pr();\r\n\tthis.log();\r\n\tthis.email_name(email);\r\n\tthis.password(password);\r\n\tthis.button();\r\n\te.Screenshot();\r\n}","title":""},{"docid":"6b575c15546e3d069f8f6a6614fe0ed1","score":"0.6580416","text":"public static String ClickOnLoginButton()\r\n\t{\n\t\treturn \"\";\r\n\t}","title":""},{"docid":"bb6c0e6548a0e9b53430cbbba1221eac","score":"0.65793043","text":"@When(\"^the user logged in to the home page$\")\r\n\tpublic void the_user_logged_in_to_the_home_page() throws IOException, InterruptedException {\n\t\tprofile.LoginDeatils();\r\n\t}","title":""},{"docid":"fe6bc555337fe9e2c3394d9f9e907d5f","score":"0.6575374","text":"@Given(\"^user is on login page$\")\n\tpublic void user_is_on_login_page() throws Throwable {\n\t\tSystem.setProperty(\"webdriver.chrome.driver\", \"D:\\\\BACKUP\\\\Capgemini Notes\\\\jar files\\\\chromedriver.exe\");\n\t\tdriver = new ChromeDriver();\n\t driver.manage().timeouts().implicitlyWait(10, TimeUnit.SECONDS);\n\t obj = new LoginPageFactory(driver);\n\t driver.get(\"https://ui.cogmento.com/\");\n\t}","title":""},{"docid":"e358d1d67aea1083e6b0302a3db62918","score":"0.6571558","text":"private void checkLoggedIn() {\n RepositoryServiceFactory.getSecurityService().getCurrentUser( new GenericCallback() {\n public void onSuccess(Object data) {\n UserSecurityContext ctx = (UserSecurityContext) data;\n if ( ctx.userName != null ) {\n loggedInUserInfo.setUserName( ctx.userName );\n loggedInUserInfo.setVisible( true );\n new Viewport(createMain());\n //RootPanel.get().add(createMain());\n } else {\n \tfinal LoginWidget lw = new LoginWidget();\n \tlw.setLoggedInEvent(new Command() {\n public void execute() {\n loggedInUserInfo.setUserName( lw.getUserName() );\n loggedInUserInfo.setVisible( true );\n new Viewport(createMain());\n //RootPanel.get().add(createMain());\n\n }\n } );\n \tlw.show();\n }\n }\n } );\n }","title":""},{"docid":"1224d8457481ea8f401efcdc4e38f304","score":"0.65711355","text":"@And(\"^Click on Login link in homepage to land on secure sign in page$\")\n\tpublic void click_on_Login_link_in_homepage_to_land_on_secure_sign_in_page() throws Throwable {\n\t\tLandingPage lp=new LandingPage(driver);\n\t\tint flag=0;\n\t\tif(lp.getPopup().isDisplayed())\n\t\t{\n\t\t\tlp.getPopup().click();\n\t\t}\n\t\telse {\n\t\tlp.getLogin().click();\n\t\tflag=1;\n\t\t}\n\t\tif(flag!=1)\n\t\t{\n\t\tlp.getLogin().click();\n\t\t}\n\t \n\t}","title":""},{"docid":"66b16bc0240383613c4083fdabaa8d31","score":"0.6568812","text":"public void login(String login, String password) {\n // TODO implement logging in to Admin Panel\n driver.manage().window().maximize();\n driver.get(\"http://prestashop-automation.qatestlab.com.ua/admin147ajyvk0\");\n // ...\n wait.until(ExpectedConditions.titleContains(\"prestashop-automation > Панель администратора (PrestaShop™)\"));\n wait.until(ExpectedConditions.visibilityOfElementLocated(By.id(\"email\")));\n driver.findElement(By.id(\"email\")).sendKeys(login);\n driver.findElement(By.id(\"passwd\")).sendKeys(password);\n driver.findElement(By.name(\"submitLogin\")).click();\n wait.until(ExpectedConditions.titleIs(\"Dashboard • prestashop-automation\"));\n waitForContentLoad();\n //throw new UnsupportedOperationException();\n }","title":""},{"docid":"1064ee21cd026cb8821e4f94aa86bb79","score":"0.6565397","text":"public void login(){\n //System.setProperty(\"webdriver.gecko.driver\", \"/Users/flex/Downloads/geckodriver\");\n driver = new FirefoxDriver();\n\n //login at website as user with email \"alex@gmail.com\" and password \"password\";\n driver.navigate().to(\"http://localhost:8080/\");\n driver.findElement(By.id(\"email\"))\n .sendKeys(\"benedikt.schwarz@gmail.com\");\n driver.findElement(By.id(\"password\")).sendKeys(\"XOXO\");\n driver.findElement(By.cssSelector(\"input.btn\")).click();\n }","title":""},{"docid":"487a5bb21802e4df7d70c3a4c6bb5a45","score":"0.65652245","text":"public static void nav_Logout()\n\t{\n\t\t//bLogOutStatus = false;\n\t\tboolean bstatus = false;\n\t\tWebDriver driver = WebDriverUtil.getDriver();\n\t\tPageFactory.initElements(driver, login);\n\t\tPageFactory.initElements(driver, dashboard);\n\t\t\n\t\tString sNavigatorUrl = (String)FrameworkUtil.dictPropertyData.get(\"NAV.QA.URL\");\n\t\tsLogoutUrl = sNavigatorUrl.replace(\"/home\", \"/c/portal/logout\");\n\t\t//String sSummaryURL=sNavigatorUrl.replace(\"/home\", \"/navigator\");\n\t\tString sSummaryURL=sNavigatorUrl;\n\t\t\n\t\tWebDriverUtil.getDriver().get(sSummaryURL);\n\t\tdriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS);\n\t\tif(bLoginStatus || WebObjectUtil.isElementPresent(dashboard.getnav_UserNameDropDown()))\n\t\t{\n\t\t\ttry {\n\n\t\t\tActions builder = new Actions(driver) ;\n\t\t\t\n\t\t\t//if (WebObjectUtil.isElementPresent(dashboard.getNav_LogoutLink())){\n\t\t\t//\tWebObjectUtil.clickElement(dashboard.getNav_LogoutLink());\n\t\t\t//}else{\n\t\t\t\n\t\t\t\ttry {\n/*\t\t\t\tWebObjectUtil.clickElement(dashboard.getnav_UserNameDropDown());\n\t\t\t\t//WebObjectUtil.clickElement(dashboard.getNav_UserNameLink());\n\t\t\t\tbuilder.moveToElement(dashboard.getNav_UserNameLink()).perform();\n\t\t\t\tThread.sleep(5000);\n\t\t\t\tWebElement logout = WebObjectUtil.GetWebElement(\"linktext\", \"Logout\");\n\t\t\t\tFrameworkUtil.sElementName = \"Logout\";\n\t\t\t\tWebObjectUtil.clickElement(logout);\n\t\t\t\t//logout.click();\n*/\t\t\t\tWebObjectUtil.ClickAndMouseHover(dashboard.getnav_UserNameDropDown());\n\t\t\t\tThread.sleep(2000);\n\t\t\t\t//WebObjectUtil.clickElement(dashboard.getNav_LogoutLink());\n\t\t\t\tdashboard.getNav_LogoutLink();\n\t\t\t\tbstatus = WebObjectUtil.selectCustomWebList(dashboard.getnav_UserNameDropDown(), \"Logout\");\n\n\t\t\t\t} catch (Exception e) {\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t\tdriver.get(sLogoutUrl);\n\t\t\t\t\t//WebObjectUtil.clickElement(dashboard.getNav_LogoutLink());\t\n\t\t\t\t}\n\t\t\t//}\t\n\t\t\tdriver.manage().timeouts().implicitlyWait(20, TimeUnit.SECONDS);\n\t\t\t//LoggerUtil.writeStatusLog(WebObjectUtil.isElementPresent(login.getNav_userId()), \"Verify Logout\", \"user log out\");\n\t\t\t//FrameworkUtil.updateCustomResultBasedOnStatus(bstatus);\n\t\t\t\tbLoginStatus=false;\n\t\t\t} catch (Exception e) {\n\t\t\t\tLoggerUtil.log_type_info(\"Navigator - Issue with Logout\" );\n\t\t\t}\n\t\t}\n\n\t\tdriver.get(sLogoutUrl);\n\t\tbLoginStatus=false;\n\t}","title":""},{"docid":"5ae09698488399853133f91c70344824","score":"0.65567386","text":"public String LogIn(){ \r\n FacesContext context = FacesContext.getCurrentInstance();\r\n HttpSession session = (HttpSession) context.getExternalContext().getSession(true);\r\n \r\n Korisnik korisnik = new Korisnik();\r\n \r\n LogInDAO dataAccesLayer = new LogInDAO();\r\n \r\n if(username != null && lozinka != null){\r\n korisnik = dataAccesLayer.LogIn(username, lozinka);\r\n } \r\n if(korisnik!=null && username.equals(\"admin\")){\r\n return \"admin\";\r\n }\r\n \r\n if(korisnik != null){\r\n return \"newTemplateClient\";\r\n // return \"proba\";\r\n }\r\n else{\r\n return \"index\";\r\n }\r\n \r\n }","title":""},{"docid":"76acbff5b45b5bd0b69fea05e567a919","score":"0.65566784","text":"@Test\n public void testLogin() throws Exception {\n LoginPage lp = new LoginPage(driver);\n HomePage hp = new HomePage(driver);\n\n lp.open();\n lp.login(USERNAME, PASSWORD, false);\n\n hp.waitForPage();\n // verify that home page is visible\n Assert.assertTrue(hp.isPresent());\n\n hp.logout();\n // verify that we are not on home page anymore\n Assert.assertFalse(hp.isPresent());\n }","title":""},{"docid":"6802503f80195223f17437460ce81113","score":"0.65512854","text":"@Then(\"^User Login is successful$\")\r\n public void successfulLogin() {\n driver.getTitle();\r\n if(driver.findElement(By.xpath(\"//a[@title='My Store']\")).isDisplayed())\r\n System.out.print(\"My Store Page has been displayed\");\r\n else\r\n System.out.println(\"Landing Page incorrect\");\r\n\r\n if (driver.findElement(By.xpath(\".//a[@href='http://automationpractice.com/index.php?controller=my-account']//span[contains(text(), 'Test User')]\")).isDisplayed());\r\n System.out.print(\"Login Successful\");\r\n driver.close();\r\n }","title":""},{"docid":"a8f910317fec8a286b5d349e6d58581c","score":"0.65496624","text":"@Test\n public void validate_Navigate_Back_To_The_Login_Page() {\n sfaForgotPasswordPage.action_Click_On_Back_To_Login_Link();\n\n String title=data.getValueByName(\"LoginPageBrowserTitle\");\n Assert.assertEquals(sfaLoginPage.check_Login_Page_Browser_Title(), title);\n }","title":""},{"docid":"1f91b0c8a4043d594424f4b83f9aa6da","score":"0.6542794","text":"public void logOut(){\n\t\tif(sender!=null)\n\t\tsender.sendMessage(new Message('X',-1, \"Log out\"));\n\t\tTabletApp.logOut(loginPanel);\n\t}","title":""},{"docid":"c02688d6f8e69c72e4824f4d4df3af60","score":"0.65351164","text":"@Test\n\tpublic void webLoginApplicationTest() {\t\t\n\t\t driver.get(\"http://experitest.com\");\n\t\t driver.context(\"WEBVIEW_1\");\n\t\t try{Thread.sleep(4000);} catch(Exception ignore){}\n\t\t new WebDriverWait(driver, 100).until(ExpectedConditions.presenceOfElementLocated(By.xpath(\"//*[@nodeName='BUTTON' and @css='BUTTON.navbar-toggle']\")));\n\t\t driver.findElement(By.xpath(\"//*[@nodeName='BUTTON' and @css='BUTTON.navbar-toggle']\")).click();\n\t\t new WebDriverWait(driver, 30).until(ExpectedConditions.presenceOfElementLocated(By.xpath(\"//*[@text='Capabilities']\")));\n\t\t driver.findElement(By.xpath(\"//*[@text='Support' and @css=concat('A[href=', \\\"'\\\", '#', \\\"'\\\", ']')]\")).click();\n\t\t new WebDriverWait(driver, 30).until(ExpectedConditions.presenceOfElementLocated(By.xpath(\"//*[@text='Online Guide']\")));\n\t\t driver.findElement(By.xpath(\"//*[@text='Online Guide' and @css=concat('A[href=', \\\"'\\\", '#', \\\"'\\\", ']')]\")).click();\n\n\t}","title":""},{"docid":"15a7887298a7e007f44f228022b0fc92","score":"0.65315986","text":"public boolean click_SignIn() {\n\t\tboolean status = true;\n\t\t\n\t\ttry {\n\t\t\tstatus = HoverAndClick(\"HomePage\", \"SingIn\", lnk_SignIn);\n\t\t\t\n\t\t\tif (status) {\n\t\t\t\t\n\t\t\t}\n\t\t\tSystem.out.println(\"click sign in method\");\n\t\t\t\n\t\t}catch (Exception e) {\n\t\t\tstatus = false;\n\t\t\tSystem.out.println(e.getMessage());\n\t\t}\n\t\treturn status;\n\t\t\n\t}","title":""},{"docid":"43fb0b5b83b8ea7ef0cf9ed07bc09e78","score":"0.6530122","text":"@Test\n\tpublic void ValidLogin() {\n\t\tdriver.findElement(By.xpath(\"//a[@class='item']\")).click();\n\n\t\t// Enter the Valid User name.\n\t\tdriver.findElement(By.xpath(\" //input[@placeholder='Email address']\")).sendKeys(\"pras.testanalyst@gmail.com\");\n\n\t\t// Enter the Valid Password.\n\t\tdriver.findElement(By.xpath(\"//input[@placeholder='Password']\")).sendKeys(\"mvp4444\");\n\n\t\t// Click on LogIn button.\n\t\tdriver.findElement(By.xpath(\"//button[@class='fluid ui teal button']\")).click();\n\t\tdriver.manage().timeouts().implicitlyWait(6, TimeUnit.SECONDS);\n\n\t}","title":""},{"docid":"60256475394920b32f1c2bc984565d81","score":"0.65280074","text":"@Given(\"^User is on Admin Home Page$\")\n\tpublic void user_is_on_Admin_Home_Page() throws Throwable {\n\t\tSystem.out.println(\"*********************************************\");\n\t\tSystem.setProperty(\"webdriver.gecko.driver\", \"resources/drivers/geckodriver.exe\");\n\n//\t\tWebDriver driver = new FirefoxDriver();\n\n\t\tSystem.setProperty(\"webdriver.chrome.driver\", \"resources/drivers/chromedriver.exe\");\n\t\tSystem.setProperty(\"webdriver.chrome.silentOutput\", \"true\");\n\t\tWebDriver driver = new ChromeDriver();\n\t\tthis.driver = driver;\n\n\t\tdriver.manage().window().maximize();\n\t\tdriver.manage().timeouts().implicitlyWait(90, TimeUnit.SECONDS);\n\n//\t\t*****************************************************\n\n\t\tdriver.navigate().to(\"https://alchemy.hguy.co/jobs/wp-admin\");\n\t\tString Username = \"root\";\n\t\tString Password = \"pa$$w0rd\";\n\n\t\tdriver.findElement(By.xpath(\"//form[@id='loginform']//input[@type='text']\")).sendKeys(Username);\n\t\tdriver.findElement(By.xpath(\"//form[@id='loginform']//input[@type='password']\")).sendKeys(Password);\n\t\tdriver.findElement(By.xpath(\"//form[@id='loginform']//input[@type='submit']\")).click();\n\n\t\tAssert.assertTrue(driver.findElement(By.xpath(\"//h1[text()='Dashboard']\")).isDisplayed());\n\n\t}","title":""},{"docid":"2a0c590ab6bb20de2fa74f37444b1905","score":"0.65237343","text":"@Given(\"User has to redirects to login page\")\n\tpublic void user_has_to_redirects_to_login_page() throws InterruptedException {\n\t\tdriver.get(\"http://127.0.0.1:8080/?#\");\n\t\tdriver.findElement(By.id(\"signinEmail\")).sendKeys(\"aa@gmail.com\");\n\t driver.findElement(By.id(\"signinPassword\")).sendKeys(\"aa123\");\n\t driver.findElement(By.xpath(\"//*[@id=\\\"sec_main\\\"]/div/div/form/button\")).click();\n\t Thread.sleep(3000);\n\t driver.switchTo().alert().accept();\t\n\t}","title":""},{"docid":"744ba27c59d8dc752d039310a058c43a","score":"0.65229744","text":"@Test\n\tpublic void test_Home_Page_Appear_Correct() {\n\t\t// Create Login Page object\n\t\tobjLogin = new Guru99Login(driver);\n\t\t// Verify login page title\n\t\tString loginPageTitle = objLogin.getLoginTitle();\n\t\tassertTrue(loginPageTitle.toLowerCase().contains(\"guru99 bank\"));\n\t\t// login to application\n\t\tobjLogin.loginToGuru99(\"mgr123\", \"mgr!23\");\n\t\t// go the next page\n\t\tobjHomePage = new Guru99HomePage(driver);\n\t\t// Verify home page\n\t\tassertTrue(objHomePage.getHomePageDashboardUserName().toLowerCase().contains(\"manger id : mgr123\"));\n\t}","title":""},{"docid":"dd97023147a06d104d4b3e9e365bbf71","score":"0.65186334","text":"@Override\r\n\tvoid login1() {\r\n\t\t// TODO Auto-generated method stub\r\n\t\t\r\n\t}","title":""},{"docid":"8d00b64b7bb67773b7493796b9b97b9f","score":"0.65183246","text":"public void multipleLogin() \n\t{\n\t\tFrameworkUtil.sTestCaseName = \"MultipleLogin\";\n\t\tFrameworkUtil.sManualTestCaseName=\"Login Multi Org\";\n\t\tFrameworkUtil.updateTestCaseNameinResult(FrameworkUtil.sTestCaseName,FrameworkUtil.sManualTestCaseName);\n\t\tWebDriver driver = WebDriverUtil.getDriver();\n\t\tPageFactory.initElements(driver, login);\n\t\tPageFactory.initElements(driver, dashboard);\n\n\t\t\tfor (String sKey : FrameworkUtil.GetPropKeysList()){\n\t\t\t\t//System.out.println(sKey);\n\t\t\t\t\n\t\t\t\t//login to Navigator \n\t\t\t\tif(sKey.contains(\".USERID\")==true && sKey.contains(\"INVALID\")== false){\n\t\t\t\tString sPwd=sKey.replace(\".USERID\", \".PWD\");\n\t\t\t\t\n\t\t\t\ttry {\n\t\t\t\t\tnav_Login(FrameworkUtil.getPropValues(sKey), FrameworkUtil.getPropValues(sPwd));\n\t\t\t\t\t\t\t\n\t\t\t\t\t//check for login success\n\t\t\t\t\tString sUN=sKey.replace(\".USERID\", \".USERFULLNAME\");\n\t\t\t\t\tboolean bUN =WebObjectUtil.VerifyTextOnPage(FrameworkUtil.getPropValues(sUN));\n\t\t\t\t\t\n\t\t\t\t\t//LoggerUtil.writeStatusLog(bUN, \"Verify Login\", \"Login with User name: \" + FrameworkUtil.getPropValues(sKey));\n\n\t\t\t\t\t//log out Navigator\n\t\t\t\t\tif (FrameworkUtil.getPropValues(sKey).contains(\"admin\")){\n\t\t\t\t\t\tnav_Signout();\n\t\t\t\t\t}else{\n\t\t\t\t\t\tnav_Logout();\n\t\t\t\t\t}\n\t\t\t\t} catch (Exception e) {\n\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t}\n\t\t\t\t\t/*if (WebObjectUtil.getElementByText(\"Sign Out\") != null){\n\t\t\t\t\t\tnav_Signout();\t\n\t\t\t\t\t}else{\n\t\t\t\t\t\tnav_Logout();\n\t\t\t\t\t}*/\n\t\t\t\t\t//bLoginStatus = false;\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t}","title":""},{"docid":"9ed4c9a0688d95872dc10006df8c8945","score":"0.6517186","text":"@FXML\r\n\tvoid logIn(ActionEvent event) throws IOException {\r\n\t\t// Instance.getClientConsole().setMessage(null);\r\n\t\tString user = userName.getText();\r\n\t\tString paString = Password.getText();\r\n\t\tString tyString = selectionbtns.getSelectionModel().getSelectedItem();\r\n\t\ttyString = getClass(tyString);\r\n\t\tSystem.out.println(tyString);\r\n\t\tif (!checkValid(user, paString, tyString))\r\n\t\t\treturn;\r\n\r\n\t\tInstance.sendMessage(Command.accExist.ordinal() + \"@\" + user + \"@\" + paString + \"@from @\" + tyString\r\n\t\t\t\t+ \"@ WHERE username = :username and password = :password\");\r\n\r\n\t\tString reString = Instance.getClientConsole().getMessage().toString();\r\n\t\tif (reString.equals(\"\")) {\r\n\t\t\terrorTXT.setVisible(true);\r\n\t\t\terrorTXT.setText(\"User not found\");\r\n\t\t\treturn;\r\n\t\t}\r\n\t\tif (reString.equals(\"You already loged in\")) {\r\n\t\t\terrorTXT.setVisible(true);\r\n\t\t\terrorTXT.setText(\"You already loged in\");\r\n\t\t} else {\r\n\t\t\tgoTo(event, \"/com/example/project/\" + getController(tyString) + \".fxml\", reString);\r\n\t\t}\r\n\t}","title":""},{"docid":"cdccd5519528b243ce08e9ebc8e939c0","score":"0.6513849","text":"public static void LoginAsSingUser1User() {\n \n try {\n\tString sUserName = (String)FrameworkUtil.dictPropertyData.get(\"NAV.SINGLUXINC.USERID.SINGUSER1\");\n\t String sPassword = (String)FrameworkUtil.dictPropertyData.get(\"NAV.SINGLUXINC.PWD.SINGUSER1\");\n\t LoginTestCase.nav_Login(sUserName, sPassword);\n} catch (Exception e) {\n\t// TODO Auto-generated catch block\n\te.printStackTrace();\n}\n}","title":""},{"docid":"3b7c12b89add75e555a1dbb90f2c17ea","score":"0.6512448","text":"private void login() {\n String username = etUsername.getText().toString();\n String pass = etPassword.getText().toString();\n\n if (db.getUser(username, pass)) {\n session.setLoggedIn(true);\n Intent welcomeAct = new Intent(LoginActivity.this, WelcomeActivity.class);\n startActivity(welcomeAct);\n finish();\n } else {\n Toast.makeText(getApplicationContext(), \"Wrong username/password\", Toast.LENGTH_SHORT).show();\n }\n }","title":""}],"string":"[\n {\n \"docid\": \"ed9caae8a099b6c2fbeb17d325d2b387\",\n \"score\": \"0.7512464\",\n \"text\": \"@And(\\\"^Clicks on login link in home Page$\\\")\\r\\n public void Click_LogIn() throws Throwable {\\r\\n \\thomePage.click_LogIn();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e97877564d1e4825de4ca62b2b131588\",\n \"score\": \"0.75004756\",\n \"text\": \"private void goLogin() {\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3d699a6e76f1379b1556178c5d733438\",\n \"score\": \"0.73879665\",\n \"text\": \"public void clickLogin(){\\r\\n\\t\\tlogin.click();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7d147acfb9cb727cb249ec359c2974c0\",\n \"score\": \"0.73588467\",\n \"text\": \"public void clickLogin()\\n\\t\\t{\\n\\t\\t\\tlogin.click();\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e0493168cae5cc3cf680b47c56463123\",\n \"score\": \"0.7350055\",\n \"text\": \"public HomePageFlipkar getuserNamePasswor(String un, String Pass){\\n username_ele.sendKeys(un);\\r\\n password_ele.sendKeys(Pass);\\r\\n submit_Button.click();\\r\\n // after login user redirected to homepage. \\r\\n return new HomePageFlipkar(); \\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cbd65f9c0c43aea3823cb83f968f79a0\",\n \"score\": \"0.73455995\",\n \"text\": \"public void clickLogin() {\\r\\n\\t\\tlogin.click();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a030e8338bda977db310dc4dec67068d\",\n \"score\": \"0.7298757\",\n \"text\": \"public void logout(){\\n\\n Utils.clickLink(\\\"Welcome Admin\\\");\\n Utils.waitForPageToLoad(20);\\n Utils.clickLink((\\\"Logout\\\"));\\n\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7e912eb92c8ea18c39a587d0b46ebdfe\",\n \"score\": \"0.7289501\",\n \"text\": \"public void goTologinPage(){\\n\\t\\t\\n\\t\\tsigninButton.click();\\n\\t\\tsigninButton.submit();\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"68f0a87de2eb72e5a3e757399b659b06\",\n \"score\": \"0.71978796\",\n \"text\": \"@When(\\\"^user login too home page$\\\")\\n\\tpublic void the_user_login_to_the_home_page() {\\n\\t mylogin.loginPage();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b82694f05f9f838f7523f6714dea076\",\n \"score\": \"0.7172958\",\n \"text\": \"public MultiplyHomePage clickLogin() {\\r\\n\\t\\tclick(buttonLogin, WaitStrategy.PRESENCE, \\\"Login Button\\\");\\r\\n\\t\\treturn new MultiplyHomePage();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b6824182df2d4e732994282e25e4ddd\",\n \"score\": \"0.71670794\",\n \"text\": \"public void loginToPage(String username, String password);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"93fddc649a0dc09a90ae80c13d9c381b\",\n \"score\": \"0.71052563\",\n \"text\": \"@Test\\n\\tpublic void Login_02_Login_To_System() {\\n\\t\\thomePage.clickToLoginButton();\\n\\t\\tloginPage = new LoginPageObject(driver);\\n\\t\\t\\n\\t\\t//step 2: input email textbox\\n\\t\\tloginPage.enterToEmailTextbox(emailAddress);\\n\\t\\t//step 3: input password\\n\\t\\tloginPage.enterToPasswordTextbox(password);\\n\\t\\t//step 4: click login button\\n\\t\\tloginPage.clickToLoginButton();\\n\\n\\t\\thomePage = new HomePageObject(driver);\\n\\t\\t\\n\\t\\t//step 5: verify homepage logo displayed\\n\\t\\tAssert.assertTrue(homePage.isHomePageSliderDisplayed());\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1a6d8af714b2422b07e866804784e372\",\n \"score\": \"0.7077842\",\n \"text\": \"public void login(){\\n enterBuyMeWebSite();\\n pressRegistration();\\n pressRegistration2();\\n enterCredentials();\\n\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1b3eedd188eb095353e35955fd3c33f7\",\n \"score\": \"0.70405805\",\n \"text\": \"public void doLogin(){\\n\\t\\tif (waitForRequiredElement(DashboardPageElements.loginHeaderOption, StaticConfiguration.GENERAL_WAIT_SECONDS)) {\\r\\n\\r\\n\\t\\t\\tclick(DashboardPageElements.loginHeaderOption); // Click on Login Option\\r\\n\\r\\n\\t\\t\\tif (waitForRequiredElement(LoginPageElements.loginFrame, StaticConfiguration.GENERAL_WAIT_SECONDS)) {\\r\\n\\r\\n\\t\\t\\t\\t// We need to switch frame to access elements with it\\r\\n\\t\\t\\t\\tswitchToFrameByElemenet(LoginPageElements.loginFrame);\\r\\n\\r\\n\\t\\t\\t\\t// We will enter Login Credentials\\r\\n\\t\\t\\t\\tsetText(LoginPageElements.userNameField, TestData.USER_NAME);\\r\\n\\t\\t\\t\\tsetText(LoginPageElements.passwordField, TestData.PASSWORD);\\r\\n\\t\\t\\t\\tclick(LoginPageElements.signInButton);\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t// After enter Credentials let's try to Login by clicking Login Button\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\tCommanUtilities.logCreator(3, \\\"User Credentials Entered\\\");\\r\\n\\t\\t\\t}\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7917b0259acf0d73600c154bb639e8a8\",\n \"score\": \"0.70202047\",\n \"text\": \"public void FinalLogin() {\\n\\t\\tsignin.click();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8fddac715ba6e857429bc7f53ebba798\",\n \"score\": \"0.70171285\",\n \"text\": \"public void login() {\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3175caf50788b9bf47fcef022775200a\",\n \"score\": \"0.69936705\",\n \"text\": \"public String GotoLogin() throws HeadlessException, AWTException, IOException\\n\\t{\\n\\t\\t\\t//get the title of the current page before login\\n\\t\\t\\tString pageTitleBeforeLogin=BrowserFactory.driver.getTitle();\\n\\t\\t\\n\\t\\t\\t//click on the person figure on the left top banner of home page\\n\\t\\t\\tpFlag.click();\\n\\t\\t\\t\\n\\t\\t\\t//wait for Login item displaying in the drop-down menu\\n\\t\\t\\t//BrowserFactory.driver.manage().timeouts().implicitlyWait(20, TimeUnit.SECONDS);\\n\\t\\t\\t//CustomWait.wait(\\\"//*[@id='user-nav-account']/li[7]/a\\\", 5, 1);\\n\\t\\t\\t\\n\\t\\t\\t//click on \\\"Login\\\" menu item\\n\\t\\t\\tlogin.click();\\n\\t\\t\\t\\n\\t\\t\\t//wait for page loading after clicking Login. The xpath is the title bar's .\\n\\t\\t\\tCustomWait.wait(\\\"//h2[contains(.,'Login To GrabOne ')]\\\", 5, 1);\\n\\t\\t\\t\\n\\t\\t\\t//verify if login page is launched by page title.\\n\\t\\t\\tassertEquals(BrowserFactory.driver.getTitle(),\\\"Login To GrabOne\\\",\\\"Login page isn't launched properly\\\");\\n\\t\\t\\ttestLog.log(Status.PASS, \\\"Go to Login page successfully.\\\");\\n\\t\\t\\t\\n\\t\\t\\treturn pageTitleBeforeLogin;\\n\\t\\t\\t\\t\\t\\t\\n//\\t\\t\\t//After login, check if the AUT returns to the previous page before login\\n//\\t\\t\\tString titleAfterLogin=BrowserFactory.driver.getTitle();\\n//\\t\\t\\tAssert.assertEquals(titleAfterLogin, titleBeforeLogin, \\\"Not back to the previous page.\\\");\\t\\t\\t\\n\\t\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"83d9ec9d3e9d94c188d34c3eceea0bc8\",\n \"score\": \"0.699357\",\n \"text\": \"void loginAction();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"90865e784efae770303de465093337c8\",\n \"score\": \"0.6979264\",\n \"text\": \"void clickLoginButton();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b612cfbf6f0a89397cc31372ac3e549a\",\n \"score\": \"0.69492894\",\n \"text\": \"public void Click_Login() throws Exception{\\n\\t\\tfunction.click(Login);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1d876089d31333ea87802791c63033e0\",\n \"score\": \"0.6942271\",\n \"text\": \"@Given(\\\"^Click on login page in home page$\\\")\\n\\tpublic void click_on_login_page_in_home_page() throws Throwable {\\n\\t\\t\\n\\t\\tLoginPage l = new LoginPage(driver);\\n\\t\\tl.getLogin().click();\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd40913335fa3e65ac674cf2dc9905a3\",\n \"score\": \"0.6920848\",\n \"text\": \"void login();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"adbc23b1ddd83cfd6c355c9eb662a68a\",\n \"score\": \"0.69189495\",\n \"text\": \"public void clickOnLogin() {\\n\\n\\t\\tdriver.findElement(By.xpath(\\\"//*[@id=\\\\\\\"root\\\\\\\"]/div/div/div[2]/div/div[1]/div/div/div[2]/div/div/div/div/button[1]/span[1]\\\")).click();\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3cbd6b5cba5795f05016b7bc17831a80\",\n \"score\": \"0.69005793\",\n \"text\": \"public void login() {\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"470e960f6d5fa931e7245fbadb49b851\",\n \"score\": \"0.68999803\",\n \"text\": \"void logout();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"17fac04bdf019e35c8d571ac3487be07\",\n \"score\": \"0.6899843\",\n \"text\": \"public LoginPage clickFormAuthentication(){\\n clickLink(\\\"Form Authentication\\\");\\r\\n return new LoginPage(driver) ;\\r\\n\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"779181ca68b406019f0f42c94b34c5d5\",\n \"score\": \"0.68868166\",\n \"text\": \"@Test\\n public void login1() throws Exception {\\n\\n loginPage.open();\\n\\n timelinePage=loginPage.loginAs(user1);\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"87a50994d57acdcfaae3d363063dfe01\",\n \"score\": \"0.68825\",\n \"text\": \"@Then(\\\"user should be able to see dashbord page or stay on loginpage\\\")\\n\\tpublic void user_should_be_able_to_see_dashbord_page_or_stay_on_loginpage() {\\n\\t\\tString str = driver.getTitle();\\n\\t\\tif(str.equals(\\\"actiTIME - Login\\\")) {\\n\\t\\t\\tdriver.close();\\n\\t\\t\\tSystem.out.println(\\\"Invalid login\\\");\\n\\t\\t}\\n\\t\\telse\\n\\t\\t{\\n\\t\\t\\tSystem.out.println(\\\"Valid login \\\" + driver.getTitle());\\n\\t\\t\\tdriver.findElement(By.id(\\\"logoutLink\\\")).click();\\n\\t\\t\\tdriver.close();\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"57e19a8ec68a1a76fe2328699dc9fd07\",\n \"score\": \"0.6879883\",\n \"text\": \"@Given(\\\"^user is on Home Page$\\\")\\n\\tpublic void user_is_on_Home_Page() throws Throwable {\\n\\t\\t \\n\\t\\t Actions action = new Actions(driver);\\n\\t\\t WebElement we = driver.findElement(By.id(\\\"nav-link-accountList\\\"));\\n\\t\\t action.moveToElement(we).moveToElement(driver.findElement(By.xpath(\\\"//*[@id='nav-item-signout-sa']\\\"))).click().build().perform();\\n\\t \\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"af0f2a3d57a4ae24f2cf19e75816f60f\",\n \"score\": \"0.68766737\",\n \"text\": \"private void logAs(String email, String password) {\\n\\t\\t// Vamos al formulario de logueo.\\n\\t\\tPO_HomeView.clickOption(driver, \\\"login\\\", \\\"class\\\", \\\"btn btn-primary\\\");\\n\\t\\t// Rellenamos el formulario\\n\\t\\tPO_LoginView.fillForm(driver, email, password);\\n\\t\\t// Comprobamos que entramos en la pagina privada de Alumno\\n\\t\\tPO_View.checkElement(driver, \\\"id\\\", \\\"userHeader\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd32a28bf43fa6c82c73511bbd6cd063\",\n \"score\": \"0.6860168\",\n \"text\": \"public void login(String name, String pass){\\n\\n typeInUserName(name);\\n typeInPassword(pass);\\n clickLoginButton();\\n if(driver.getTitle().equalsIgnoreCase(\\\"Educosoft Requirements\\\"))\\n { passReqpage();}\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"59494d7d9de2362925e0aa9c3f44a872\",\n \"score\": \"0.68568355\",\n \"text\": \"private void login() {\\n String username = this.textUsername.getText().toString();\\n String password = this.textPassword.getText().toString();\\n //mengecek yang diinputkan harus 2 parameter username dan password\\n boolean loginCorrect = this.checkCredentials(username, password);\\n if(loginCorrect)\\n {\\n //jika login benar dan checkboxnya dicentang\\n boolean remember = this.cekRemember.isChecked();\\n if(remember)\\n {\\n //maka akan memanggil kembali fungsi saveCredentials\\n this.saveCredentials();\\n }\\n //menjalankan fungsi openHome\\n this.openHome(username);\\n }\\n //jika proses login salah\\n else\\n {\\n //tampil pemberitahuan meggunakan Toast\\n Toast.makeText(this.getApplicationContext(), \\\"Invalid username and/or password!\\\",\\n Toast.LENGTH_SHORT).show();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c74160ceba44c2548dd2f05d85438624\",\n \"score\": \"0.68412256\",\n \"text\": \"public void logout() {\\n\\t\\tdriver.findElement(By.xpath(\\\"//a[normalize-space()='IrfanullahAnsari']\\\")).click();\\n\\t\\tdriver.findElement(By.xpath(\\\"//a[normalize-space()='Sign out']\\\")).click();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cce1f1c7a808aafaed87b672c124b088\",\n \"score\": \"0.684116\",\n \"text\": \"@Given(\\\"^Click on Login$\\\")\\n\\tpublic void click_on_Login() throws Throwable {\\n\\t poHP.clickLogin();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3944c2a51beabb64db674870f6e6fc70\",\n \"score\": \"0.6806749\",\n \"text\": \"@Test\\n public void LoginTest1() {\\n\\t\\tdriver.findElement(By.id(\\\"username\\\")).sendKeys(\\\"demo@techfios.com\\\");\\n\\t\\t//pass password on password field\\n\\t\\tdriver.findElement(By.id(\\\"password\\\")).sendKeys(\\\"abc123\\\");\\n\\t\\t//click on login\\n\\t\\tdriver.findElement(By.name(\\\"login\\\")).click();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7561953851caf3eee442506f8c59289b\",\n \"score\": \"0.6806547\",\n \"text\": \"@Test(priority = 1)\\r\\n\\tpublic static void validLogin() {\\r\\n\\t\\tString un =Excel.getData(EXECEL_PATH, SHEET, 1, 0);\\r\\n\\t\\tString passwd =Excel.getData(EXECEL_PATH, SHEET, 1, 1);\\r\\n\\t\\tString title =Excel.getData(EXECEL_PATH, SHEET, 1, 2);\\r\\n\\t\\t\\r\\n\\t\\tLoginPage l = new LoginPage(driver);\\r\\n\\t\\tl.getUsername(un);\\r\\n\\t\\tl.getPassword(passwd);\\r\\n\\t\\tl.setLoginBtn();\\r\\n\\t\\t\\r\\n\\t\\tEnterTimeTrack et = new EnterTimeTrack(driver);\\r\\n\\t\\tet.verifyHomePage(driver, 5, title);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"764ffab9d1f8df4bbbc379b31273917f\",\n \"score\": \"0.6801196\",\n \"text\": \"@Given(\\\"User clicks on sign in\\\")\\r\\n\\tpublic void user_clicks_on_sign_in() {\\n\\t\\thp = new HomePage(driver);// aqui se inicializa una instancia \\r\\n\\t\\thp.clickOnSignIn();\\r\\n\\t\\t//driver.manage().timeouts().implicitlyWait(10, TimeUnit.SECONDS);\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"42c6fce7fdf015c0609eef5be09691e8\",\n \"score\": \"0.6792854\",\n \"text\": \"@Test\\n public void LoginTest2() {\\n\\t\\tdriver.findElement(By.id(\\\"username\\\")).sendKeys(\\\"demo@techfios.com\\\");\\n\\t\\t//pass password on password field\\n\\t\\tdriver.findElement(By.id(\\\"password\\\")).sendKeys(\\\"abc123\\\");\\n\\t\\t//click on login\\n\\t\\tdriver.findElement(By.name(\\\"login\\\")).click();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9c811c0ec3e2a8948ccd20a8999076b\",\n \"score\": \"0.67923045\",\n \"text\": \"private void loginLogout(){\\n boolean isLoggedin = isLoggedin();\\n if (!isLoggedin && commonDetails.isLogin()) {\\n login(commonDetails.getCountry());\\n } else if (isLoggedin && !commonDetails.isLogin()) {\\n logout();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3c6c99d4a50653bd007aae5b6e8eea50\",\n \"score\": \"0.67875427\",\n \"text\": \"@Test\\n @Parameters({\\\"uname\\\",\\\"upass\\\"})\\n public void Login(String uname,String upass) {\\n\\t\\tdriver.navigate().to(\\\"http://newtours.demoaut.com/mercurywelcome.php\\\");\\n\\t\\t//driver.manage().window().maximize();\\n\\t\\tdriver.findElement(By.linkText(\\\"SIGN-ON\\\")).click();\\n\\t\\tdriver.findElement(By.name(\\\"userName\\\")).sendKeys(uname);\\n\\t\\tdriver.findElement(By.name(\\\"password\\\")).sendKeys(upass);\\n\\t\\tdriver.findElement(By.name(\\\"login\\\")).click();\\n\\t\\tdriver.quit();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a19c1998f28f7884bf0e93857ea9cd10\",\n \"score\": \"0.6780522\",\n \"text\": \"@Test(priority = 2)\\r\\n\\tpublic static void inValidLogin() {\\r\\n\\t\\tString un =Excel.getData(EXECEL_PATH, SHEET, 1, 0);\\r\\n\\t\\tString passwd =Excel.getData(EXECEL_PATH, SHEET, 1, 0);\\r\\n\\t\\tString title =Excel.getData(EXECEL_PATH, SHEET, 1, 2);\\r\\n\\t\\t\\r\\n\\t\\tLoginPage l = new LoginPage(driver);\\r\\n\\t\\tl.getUsername(un);\\r\\n\\t\\tl.getPassword(passwd);\\r\\n\\t\\tl.setLoginBtn();\\r\\n\\t\\t\\r\\n\\t\\tEnterTimeTrack et = new EnterTimeTrack(driver);\\r\\n\\t\\tet.verifyHomePage(driver, 5, title);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d35feaecc2a0d40f7655222955870f50\",\n \"score\": \"0.6777101\",\n \"text\": \"public void loginPage() {\\r\\n\\t\\tthis.fenetre.setPanelPrincipale(new LoginController(this).getView().getPanel());\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ff01c1695d2ca6ab6a1b7fcc5e774bca\",\n \"score\": \"0.6754757\",\n \"text\": \"public LoginPage clickOnLogin(){\\n JavascriptExecutor js=(JavascriptExecutor) getDriver();\\n WebElement logInButton= (WebElement) js.executeScript(\\\"return document.querySelector(\\\\\\\"body > app-root\\\\\\\").shadowRoot.querySelector(\\\\\\\"header > ia-topnav\\\\\\\").shadowRoot.querySelector(\\\\\\\"div.topnav > primary-nav\\\\\\\").shadowRoot.querySelector(\\\\\\\"nav > div.user-info > login-button\\\\\\\").shadowRoot.querySelector(\\\\\\\"div > span > a:nth-child(2)\\\\\\\")\\\");\\n logInButton.click();\\n return new LoginPage();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f5440dc302bb0afe1f4127012db54a8\",\n \"score\": \"0.6749769\",\n \"text\": \"public static void forcedLogOut(){\\n\\tString sURL;\\n\\tWebDriver driver = WebDriverUtil.getDriver();\\n\\tPageFactory.initElements(driver, login);\\n\\tPageFactory.initElements(driver, Home);\\n\\tPageFactory.initElements(driver, dashboard);\\n\\ttry {\\n\\t\\tgetLogoutURL();\\n\\t\\tif( WebObjectUtil.isElementPresent(dashboard.getnav_UserNameDropDown()) )\\n\\t\\t{\\n\\t\\t\\tnav_Logout();\\n\\t\\t}else if( WebObjectUtil.isElementPresent(login.getNav_SignOutLink())){\\n\\t\\t\\tnav_Signout();\\n\\t\\t}else {\\n\\t\\t\\tdriver.get(sLogoutUrl);\\n\\t\\t\\tdriver.get(sSignOutUrl);\\n\\t\\t\\tbLoginStatus=false;\\n\\t\\t\\tWebObjectUtil.bCurrentTestStopped=false;\\n\\t\\t}\\n\\t\\t\\n\\t} catch (Exception e2) {\\n\\t\\tLoggerUtil.log_type_error(\\\"Did not logged out properly, Logging out before login as different user\\\");\\n\\t\\tdriver.get(sLogoutUrl);\\n\\t\\tdriver.get(sSignOutUrl);\\n\\t\\tbLoginStatus=false;\\n\\t\\tWebObjectUtil.bCurrentTestStopped=false;\\n\\t}\\n\\t\\n\\t\\n\\ttry {\\n\\t\\tString sBodyText = driver.findElement(By.tagName(\\\"body\\\")).getText();\\n\\t\\t if (sBodyText.contains(\\\"You are signed in as\\\")){\\n\\t\\t\\t System.out.println(\\\"body text : \\\" + sBodyText);\\n\\t\\t\\t nav_Logout();\\n\\t\\t\\t driver.manage().timeouts().implicitlyWait(30, TimeUnit.SECONDS);\\n\\t\\t\\t bLoginStatus=false;\\n\\t\\t }\\n\\t} catch (Exception e1) {\\n\\t\\tLoggerUtil.log_type_error(\\\"Did not logged out properly, Logging out before login as different user\\\");\\n\\t}\\n\\t \\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a1861b94a026d0077b94367cf23cab49\",\n \"score\": \"0.6747495\",\n \"text\": \"public void loginMethod() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f01ac019d9e5b3625e9075e45bc4dd28\",\n \"score\": \"0.6739312\",\n \"text\": \"public void ValidatLoginPage() {\\n\\t\\tSystem.out.println(\\\"login page is automated successfully\\\");\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5d992425f870cd63470aedad22cebef7\",\n \"score\": \"0.67321503\",\n \"text\": \"@Before(\\\"@CheckLogin\\\")\\n public void checkLogin() {\\n PageTransporter.goToPage(\\\"home\\\");\\n headerPage = new HeaderPage();\\n headerPage.dropDownAccountMenu();\\n try {\\n if (\\\"Login\\\".equals(headerPage.getLoginText())) {\\n headerPage.pressLogin();\\n loginPage = new LoginPage();\\n loginPage.login(NinjaStoreConfig.getInstance().getCredentials(\\\"email\\\"),\\n NinjaStoreConfig.getInstance().getCredentials(\\\"password\\\"));\\n }\\n } catch (Exception e) {\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3e9eb6ec31c3f80753fbf026b8761b29\",\n \"score\": \"0.67300004\",\n \"text\": \"public void handleLogin(LoginEvent e)\\r\\n {\\r\\n if(!SessionController.getInstance().checkLogin(e.getUsername(),e.getPassword()))\\r\\n {\\r\\n refreshLogin();\\r\\n //Notification.show(\\\"Incorrect Username or Password\\\",3000,Notification.Position.TOP_CENTER);\\r\\n }\\r\\n else\\r\\n { //Re-direct user to home page\\r\\n getUI().ifPresent(ui-> ui.getPage().executeJavaScript(\\\"window.location.href = '' \\\"));\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ef8f6aa2550123f289262638b310bf30\",\n \"score\": \"0.67242086\",\n \"text\": \"public static void goToLoginPage() {\\n \\t\\tUrlBuilder builder = new UrlBuilder();\\n \\t\\tbuilder.setProtocol(Location.getProtocol());\\n \\t\\tbuilder.setHost(Location.getHost());\\n \\t\\tString path = Location.getPath().contains(\\\"index.html\\\") ? Location.getPath().replace(\\n \\t\\t\\t\\t\\\"index.html\\\", \\\"login.html\\\") : Location.getPath() + \\\"login.html\\\";\\n \\t\\tbuilder.setPath(path);\\n \\t\\tfor (Entry<String, List<String>> entry : Location.getParameterMap().entrySet()) {\\n \\t\\t\\tif (\\\"session_id\\\".equals(entry.getKey()) || \\\"error\\\".equals(entry.getKey())) {\\n \\t\\t\\t\\t// do not copy the session id parameter\\n \\t\\t\\t} else {\\n \\t\\t\\t\\tbuilder.setParameter(entry.getKey(), entry.getValue().toArray(new String[0]));\\n \\t\\t\\t}\\n \\t\\t}\\n \\t\\tLocation.replace(builder.buildString().replace(\\\"127.0.0.1%3A\\\", \\\"127.0.0.1:\\\"));\\n \\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"06a50b0f52663ff1d5827287864f7033\",\n \"score\": \"0.67229426\",\n \"text\": \"@Test(dataProvider = \\\"getData\\\")\\n\\tpublic void basePageNavigation(String username, String password) throws IOException {\\n\\n\\t\\tdriver.get(URL);\\n\\t\\tlog.info(\\\"URL is Launched\\\");\\n\\t\\tHomePage hp = new HomePage(driver);\\n\\t\\tLoginPage lp= hp.login();\\n\\t\\tlp.getUserName().sendKeys(username);\\n\\t\\tlp.getPassword().sendKeys(password);\\n\\t\\tlp.academyLogin().click();\\n\\t\\tlog.info(\\\"LogIn into the Application\\\");\\n\\t\\t\\n\\t\\tForgotPassword fp = lp.getForgotPassword();\\n\\t\\tfp.Username().sendKeys(\\\"abc123@gmail.com\\\");\\n\\t\\tfp.sendInstruction().click();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9646f30401406dd7ccb3df1d1a18c140\",\n \"score\": \"0.67198247\",\n \"text\": \"@BeforeTest\\r\\n\\tpublic void login() {\\r\\n\\t\\tlogin.loginPage(\\\"url\\\",\\\"bayampuser2.2086+007@gmail.com\\\", \\\"password1\\\");\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a78f591da2f1fcb8dc8e20af89a1edc5\",\n \"score\": \"0.6718342\",\n \"text\": \"public void clicarLogin() {\\n\\t\\t\\n\\t\\tIntroPage introPage = new IntroPage(driver);\\n\\t\\tintroPage.getButtonFazerLogin().click();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d3666aabdedc1727c5d616d50012979\",\n \"score\": \"0.67140096\",\n \"text\": \"public static void Login(){\\n\\t\\tReporter.log(\\\"Navigate to url\\\");\\n\\t\\tdriver.navigate().to(config.getProperty(\\\"testSiteURL_Feature5\\\"));\\n\\t\\t\\n\\t\\tReporter.log(\\\"maximize the browser window\\\");\\n\\t\\tdriver.manage().window().maximize();\\n\\t\\t\\n\\t\\tReporter.log(\\\"Enter Username\\\");\\n\\t\\tAssert.assertTrue(TestUtility.setText(\\\"Login_Username\\\", config.getProperty(\\\"username\\\")), \\\"User is not able to input username\\\");\\n\\t\\t\\n\\t\\tReporter.log(\\\"Enter Password\\\");\\n\\t\\tAssert.assertTrue(TestUtility.setText(\\\"Login_Password\\\", config.getProperty(\\\"password\\\")), \\\"User is not able to input password\\\");\\n\\t\\t\\n\\t\\tReporter.log(\\\"Clicking on the Sign In Button\\\");\\n\\t\\tAssert.assertTrue(TestUtility.clickObj(\\\"Sign In\\\"), \\\"User is not able to click on Sign In button\\\");\\n\\t\\t\\n\\t\\tReporter.log(\\\"Verify user logged in successfully by checking existance of Create New Campaign button on dashboard\\\");\\n\\t\\tAssert.assertTrue(TestUtility.isObjPresent(\\\"BTN_CreateNewCampaign\\\", 3), \\\"Create New Campaign button is not available on page\\\");\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d061dfcbfdcf910f327ec5a07de7b128\",\n \"score\": \"0.6706038\",\n \"text\": \"@Test(priority=3) \\n\\tpublic void loginTest() {\\n\\t\\thomePage = loginPage.login(prop.getProperty(\\\"username\\\"), prop.getProperty(\\\"password\\\"));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ebd5fb1b4d7727e416f657b3b08fe155\",\n \"score\": \"0.67043227\",\n \"text\": \"public static void main(String[] args) throws InterruptedException {\\n\\t\\tSystem.setProperty(\\\"webdriver.chrome.driver\\\",\\n\\t\\t\\t\\t\\\"C:\\\\\\\\selenium\\\\\\\\chromedriver_win32\\\\\\\\chromedriver.exe\\\");\\n\\t\\t\\n\\t\\t//creating webdriver instance\\n\\tWebDriver driver = new ChromeDriver();\\n\\t//get the webpage\\n\\n\\tdriver.get(\\\"https://demoqa.com/login\\\");\\n\\t//max the page\\n\\tdriver.manage().window().maximize();\\n\\t//retriving the title of the page\\n\\tString title=driver.getTitle();\\n\\tSystem.out.println(\\\"the title of the page is : \\\"+title);\\n\\t\\n\\ndriver.findElement(By.xpath(\\\"//input[contains(@placeholder,'UserName')]\\\")).sendKeys(\\\"testuser\\\");\\ndriver.findElement(By.xpath(\\\"//input[contains(@id,'password')]\\\")).sendKeys(\\\"Password@123\\\");\\n\\t\\t\\n driver.findElement(By.xpath(\\\"//button[contains(@id,'login')]\\\")).click();\\n\\t\\n//uName.sendKeys(\\\"testuser\\\");\\n//pswd.sendKeys(\\\"Password@123\\\");\\n//loginBtn.click();\\n\\n\\ndriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS); \\n\\ntry {\\n \\nWebElement logoutBtn = driver.findElement(By.xpath(\\\"//div[@class='text-right col-md-5 col-sm-12']//button[@id='submit']\\\"));\\n \\nif(logoutBtn.isDisplayed()){\\n logoutBtn.click();\\n System.out.println(\\\"LogOut Successful!\\\");\\n }\\n} \\ncatch (Exception e) {\\n\\t System.out.println(e);\\n System.out.println(\\\"Incorrect login....\\\");\\n}\\n\\ndriver.quit();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a3273b133720b1dd90cd32d65286b395\",\n \"score\": \"0.6699957\",\n \"text\": \"public String clickonloginbtn()\\n\\t{\\n\\t\\tloginbutton.click();\\n\\t\\tString messagetxt= Welcomemessgae.getText();\\n\\t\\treturn messagetxt;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78a5a9b659751c63df5bc016822a4478\",\n \"score\": \"0.66982436\",\n \"text\": \"public void login_button()\\r\\n\\t{\\r\\n\\t\\tdriver.findElement(login).click();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"362de2889201600636fa2acaa1cbd40a\",\n \"score\": \"0.6696895\",\n \"text\": \"@Parameters({\\\"url\\\",\\\"username\\\",\\\"password\\\"})\\r\\n\\t@Test\\r\\n\\tpublic void TC_001_validateMenuHome(String url,String username, String password) throws InterruptedException {\\r\\n\\t\\tsetUpBrowser();\\r\\n login(url,username,password);\\r\\n HomePage homepage = new HomePage(driver);\\r\\n boolean result = homepage.clickonMenuItem(\\\"HOME\\\",\\\"Patient Portal\\\");\\r\\n Assert.assertTrue(result);\\r\\n closeBrowser();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2b94ccca4aab940be0cce420a8b62b9a\",\n \"score\": \"0.66892934\",\n \"text\": \"void logout(String login);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"149f716b5f95ac52eda707cf673ae6b6\",\n \"score\": \"0.6685221\",\n \"text\": \"@Test\\n public void LoginTest() {\\n\\t\\tdriver.findElement(By.id(\\\"username\\\")).sendKeys(\\\"demo@techfios.com\\\");\\n\\t\\t//pass password on password field\\n\\t\\tdriver.findElement(By.id(\\\"password\\\")).sendKeys(\\\"abc123\\\");\\n\\t\\t//click on login\\n\\t\\tdriver.findElement(By.name(\\\"login\\\")).click();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9e8b5c5f7dd68b21588c15680940fb09\",\n \"score\": \"0.66801745\",\n \"text\": \"public static void logOut(){\\n\\t\\t\\n\\t\\tLOGGER.info(\\\"############ INSIDE LOGOUT ########################\\\");\\n\\t\\t//sign out could be different in diff pages...u can driver.findelement(by)....and pass the locator to this sign out method\\n\\t\\tWelcomePage_PO.clickSignOut();\\n\\t\\tSeleniumUtil.ValidateWebElementPresence(By.className(HomePage_PO.HOME_PAGE_SIGNIN_CLASSNAME));\\n\\t\\t\\t\\n\\t\\t//Assert.assertTrue(\\\"LogOut Successful\\\", true);\\n\\t\\tLOGGER.debug(\\\"############ LOGOUT SUCCESSFUL ########################\\\");\\n\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d9e8fad76adba76fc438c68217ddd558\",\n \"score\": \"0.6671912\",\n \"text\": \"@Test\\n\\tpublic void loginAlpha() {\\n\\t\\tdriver.findElement(By.xpath(OR.getProperty(\\\"email\\\"))).sendKeys(\\\"manish.thapa@utilidex.com\\\");\\n\\t\\tdriver.findElement(By.xpath(OR.getProperty(\\\"passward\\\"))).sendKeys(\\\"07Oct@2019\\\");\\n\\t\\t\\n\\t\\t//Click on the sign button \\n\\t\\tdriver.findElement(By.xpath(OR.getProperty(\\\"signinBtn\\\"))).click();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"324ea82d5967529bc71333908407f28c\",\n \"score\": \"0.6670626\",\n \"text\": \"@When(\\\"^Click on Login$\\\")\\n\\tpublic void click_on_Login()\\n\\t{\\n\\t\\tWebElement a = driver.findElement(By.xpath(\\\"//input[@name='submit']\\\"));\\n\\t\\tobj.Click(a);\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0fe12ed2fc1648d6e4bad6dd601e8eec\",\n \"score\": \"0.6662507\",\n \"text\": \"@Test\\n\\tpublic void loginTest() {\\n\\t\\t\\n\\t\\tSignInPage signin=PageFactory.initElements(Constants.driver.switchTo().window(Constants.driver.getWindowHandle()), SignInPage.class);\\n\\t\\t//signin.mousehoverOnSignInTab();\\n\\t\\t//signin.clickonSignInTab();\\n\\t\\t//Constants.driver.manage().timeouts().implicitlyWait(2000, TimeUnit.MILLISECONDS);\\n\\t\\tsignin.clearUsername();\\n\\t\\tsignin.enterUsername(\\\"priyadeosarkar91@gmail.com\\\");\\n\\t\\tsignin.continueToLogin();\\n\\t\\tConstants.driver.manage().timeouts().implicitlyWait(2000, TimeUnit.MILLISECONDS);\\n\\t\\tsignin.clearPassword();\\n\\t\\tsignin.enterPassword(\\\"***\\\");\\n\\t\\tsignin.clickonLogin();\\n//\\t\\tsignin.clickonAuthenticationLogin();\\n\\t\\ttry {\\n\\t\\t\\tThread.sleep(5000);\\n\\t\\t} catch (InterruptedException e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b03ebcea67147ce66c7070fdb17a4991\",\n \"score\": \"0.66548175\",\n \"text\": \"@Test\\n public void TC1verifyUserLogOut() {\\n\\n getToolbar().perform(MainActivityAuthenticatedUtility.customSwipeRightSlow());\\n\\n getLogoutNavigationControl().perform(click());\\n\\n AuthenticationUtility.findLoginButton().check(matches(isDisplayed()));\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a323e7a0102a3954e574bd5683630944\",\n \"score\": \"0.6646233\",\n \"text\": \"@Override\\n public void checkLogin(String username, String password) {\\n if (Repository.getRepositoryInstance().login(username, password)){\\n AdminDataPanel panel = new AdminDataPanel(this.viewToControl.mainFrameToUse);\\n panel.setupAndDisplay();\\n panel.setController(new AdminDataController(panel));\\n }\\n else {\\n JOptionPane.showMessageDialog(null, \\\"Incorrect login credentials.\\\");\\n }\\n//end of modifiable zone..................E/23d065fa-ec53-4276-8726-f9b1bf453017\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7bdce519154725a3e4b0a53fc0de3ec6\",\n \"score\": \"0.66442484\",\n \"text\": \"public void Loginclick() {\\n\\t\\tdriver.findElement(By.xpath(\\\"//button[@id= 'login']\\\")).click();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"737763aeea8d3d72be286fe293ad3d20\",\n \"score\": \"0.6642014\",\n \"text\": \"@Test\\n public void login() {\\n onView(withId(R.id.email)).perform(replaceText(\\\"a@a.com\\\"));\\n onView(withId(R.id.password)).perform(replaceText(\\\"aaaaaa\\\"));\\n onView(withId(R.id.email_sign_in_button)).perform(click());\\n\\n /* Check to see if returned to landing page */\\n onView(withId(R.id.logoutButton)).perform(click());\\n onView(withId(R.id.email_sign_in_button)).check(matches(withText(\\\"Log In\\\")));\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e13322ca9dba5da4c8bb65dae94013b8\",\n \"score\": \"0.6630808\",\n \"text\": \"public void Click_MeLogin() throws Exception{\\n\\t\\tfunction.click(Me_Login);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"626c444fbe7219705110dd09b950c9e7\",\n \"score\": \"0.66187596\",\n \"text\": \"@Test(priority = 1)\\n\\tpublic void login() {\\n\\t\\tdriver.get(\\\"https://aertrip.com/\\\");\\n\\t\\ttest.log(LogStatus.PASS, \\\"navigated to the url\\\");\\n\\t\\tdriver.manage().timeouts().implicitlyWait(30, TimeUnit.SECONDS);\\n\\t\\tdriver.findElement(By.xpath(\\\"//div[@class='registerSignIn js-register-signin']\\\")).click();\\n\\t\\tdriver.manage().timeouts().implicitlyWait(30, TimeUnit.SECONDS);\\n\\n\\t\\ttry {\\n\\t\\t\\tdriver.findElement(PagefactoryLogin.uname).sendKeys(\\\"deepakpal1411@gmail.com\\\");\\n\\t\\t\\tdriver.findElement(PagefactoryLogin.pass).sendKeys(\\\"password\\\");\\n\\t\\t\\tdriver.findElement(PagefactoryLogin.loginbutton).click();\\n\\t\\t\\ttest.log(LogStatus.PASS, \\\"logged in to website\\\");\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\ttest.log(LogStatus.FAIL, \\\"Unable to Looged into the application\\\");\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5e18680141e72780455ec51bc795c57e\",\n \"score\": \"0.66163105\",\n \"text\": \"void login(){\\n\\t\\tSystem.out.println(\\\"The user has logged in...!\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0dea303db2eed1e879fb6371618731c5\",\n \"score\": \"0.6614414\",\n \"text\": \"void LoginSystem();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"870ae0292fbccf9a38520a8e273c5345\",\n \"score\": \"0.6599574\",\n \"text\": \"public DashboardPage selectLogin() {\\n loginEl().click();\\n return new DashboardPage();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ce6ace8e23dc1d2ba503869b1e29c432\",\n \"score\": \"0.65975887\",\n \"text\": \"void navigateToLoginPage();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6851cd22fead309b9dfc8e095865694b\",\n \"score\": \"0.6593941\",\n \"text\": \"@When(\\\"User clicks on Login button and navigate to Login page\\\")\\n\\tpublic static void landing_welcome_positive_tc_003() throws Exception {\\n\\t\\ttry {\\n\\t\\t\\tpage_wait(20);\\n\\t\\t\\tclick(\\\"welcome_login\\\");\\t\\t\\t\\n\\t\\t\\tclick(\\\"continue\\\");\\n\\t\\t\\tpage_wait(30);\\n\\t\\t\\tvalue = driver.findElement(By.xpath(OR_reader( \\\"login_page_title\\\"))).isDisplayed();\\n\\t\\t\\tAssert.assertEquals(true,value);\\n\\t\\t}catch(Exception e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t\\ttakeScreenShot(\\\"landing_welcome_positive_tc_003\\\");\\n\\t\\t}\\n\\t\\tclose();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6d154489e037970a801a485e1728ec2b\",\n \"score\": \"0.65891916\",\n \"text\": \"public void logout() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"60c4a0323d8ed24870487aead379bf0f\",\n \"score\": \"0.6581753\",\n \"text\": \"public void Login(String email,String password) {\\r\\n\\tthis.pr();\\r\\n\\tthis.log();\\r\\n\\tthis.email_name(email);\\r\\n\\tthis.password(password);\\r\\n\\tthis.button();\\r\\n\\te.Screenshot();\\r\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6b575c15546e3d069f8f6a6614fe0ed1\",\n \"score\": \"0.6580416\",\n \"text\": \"public static String ClickOnLoginButton()\\r\\n\\t{\\n\\t\\treturn \\\"\\\";\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bb6c0e6548a0e9b53430cbbba1221eac\",\n \"score\": \"0.65793043\",\n \"text\": \"@When(\\\"^the user logged in to the home page$\\\")\\r\\n\\tpublic void the_user_logged_in_to_the_home_page() throws IOException, InterruptedException {\\n\\t\\tprofile.LoginDeatils();\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fe6bc555337fe9e2c3394d9f9e907d5f\",\n \"score\": \"0.6575374\",\n \"text\": \"@Given(\\\"^user is on login page$\\\")\\n\\tpublic void user_is_on_login_page() throws Throwable {\\n\\t\\tSystem.setProperty(\\\"webdriver.chrome.driver\\\", \\\"D:\\\\\\\\BACKUP\\\\\\\\Capgemini Notes\\\\\\\\jar files\\\\\\\\chromedriver.exe\\\");\\n\\t\\tdriver = new ChromeDriver();\\n\\t driver.manage().timeouts().implicitlyWait(10, TimeUnit.SECONDS);\\n\\t obj = new LoginPageFactory(driver);\\n\\t driver.get(\\\"https://ui.cogmento.com/\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e358d1d67aea1083e6b0302a3db62918\",\n \"score\": \"0.6571558\",\n \"text\": \"private void checkLoggedIn() {\\n RepositoryServiceFactory.getSecurityService().getCurrentUser( new GenericCallback() {\\n public void onSuccess(Object data) {\\n UserSecurityContext ctx = (UserSecurityContext) data;\\n if ( ctx.userName != null ) {\\n loggedInUserInfo.setUserName( ctx.userName );\\n loggedInUserInfo.setVisible( true );\\n new Viewport(createMain());\\n //RootPanel.get().add(createMain());\\n } else {\\n \\tfinal LoginWidget lw = new LoginWidget();\\n \\tlw.setLoggedInEvent(new Command() {\\n public void execute() {\\n loggedInUserInfo.setUserName( lw.getUserName() );\\n loggedInUserInfo.setVisible( true );\\n new Viewport(createMain());\\n //RootPanel.get().add(createMain());\\n\\n }\\n } );\\n \\tlw.show();\\n }\\n }\\n } );\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1224d8457481ea8f401efcdc4e38f304\",\n \"score\": \"0.65711355\",\n \"text\": \"@And(\\\"^Click on Login link in homepage to land on secure sign in page$\\\")\\n\\tpublic void click_on_Login_link_in_homepage_to_land_on_secure_sign_in_page() throws Throwable {\\n\\t\\tLandingPage lp=new LandingPage(driver);\\n\\t\\tint flag=0;\\n\\t\\tif(lp.getPopup().isDisplayed())\\n\\t\\t{\\n\\t\\t\\tlp.getPopup().click();\\n\\t\\t}\\n\\t\\telse {\\n\\t\\tlp.getLogin().click();\\n\\t\\tflag=1;\\n\\t\\t}\\n\\t\\tif(flag!=1)\\n\\t\\t{\\n\\t\\tlp.getLogin().click();\\n\\t\\t}\\n\\t \\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"66b16bc0240383613c4083fdabaa8d31\",\n \"score\": \"0.6568812\",\n \"text\": \"public void login(String login, String password) {\\n // TODO implement logging in to Admin Panel\\n driver.manage().window().maximize();\\n driver.get(\\\"http://prestashop-automation.qatestlab.com.ua/admin147ajyvk0\\\");\\n // ...\\n wait.until(ExpectedConditions.titleContains(\\\"prestashop-automation > Панель администратора (PrestaShop™)\\\"));\\n wait.until(ExpectedConditions.visibilityOfElementLocated(By.id(\\\"email\\\")));\\n driver.findElement(By.id(\\\"email\\\")).sendKeys(login);\\n driver.findElement(By.id(\\\"passwd\\\")).sendKeys(password);\\n driver.findElement(By.name(\\\"submitLogin\\\")).click();\\n wait.until(ExpectedConditions.titleIs(\\\"Dashboard • prestashop-automation\\\"));\\n waitForContentLoad();\\n //throw new UnsupportedOperationException();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1064ee21cd026cb8821e4f94aa86bb79\",\n \"score\": \"0.6565397\",\n \"text\": \"public void login(){\\n //System.setProperty(\\\"webdriver.gecko.driver\\\", \\\"/Users/flex/Downloads/geckodriver\\\");\\n driver = new FirefoxDriver();\\n\\n //login at website as user with email \\\"alex@gmail.com\\\" and password \\\"password\\\";\\n driver.navigate().to(\\\"http://localhost:8080/\\\");\\n driver.findElement(By.id(\\\"email\\\"))\\n .sendKeys(\\\"benedikt.schwarz@gmail.com\\\");\\n driver.findElement(By.id(\\\"password\\\")).sendKeys(\\\"XOXO\\\");\\n driver.findElement(By.cssSelector(\\\"input.btn\\\")).click();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"487a5bb21802e4df7d70c3a4c6bb5a45\",\n \"score\": \"0.65652245\",\n \"text\": \"public static void nav_Logout()\\n\\t{\\n\\t\\t//bLogOutStatus = false;\\n\\t\\tboolean bstatus = false;\\n\\t\\tWebDriver driver = WebDriverUtil.getDriver();\\n\\t\\tPageFactory.initElements(driver, login);\\n\\t\\tPageFactory.initElements(driver, dashboard);\\n\\t\\t\\n\\t\\tString sNavigatorUrl = (String)FrameworkUtil.dictPropertyData.get(\\\"NAV.QA.URL\\\");\\n\\t\\tsLogoutUrl = sNavigatorUrl.replace(\\\"/home\\\", \\\"/c/portal/logout\\\");\\n\\t\\t//String sSummaryURL=sNavigatorUrl.replace(\\\"/home\\\", \\\"/navigator\\\");\\n\\t\\tString sSummaryURL=sNavigatorUrl;\\n\\t\\t\\n\\t\\tWebDriverUtil.getDriver().get(sSummaryURL);\\n\\t\\tdriver.manage().timeouts().implicitlyWait(60, TimeUnit.SECONDS);\\n\\t\\tif(bLoginStatus || WebObjectUtil.isElementPresent(dashboard.getnav_UserNameDropDown()))\\n\\t\\t{\\n\\t\\t\\ttry {\\n\\n\\t\\t\\tActions builder = new Actions(driver) ;\\n\\t\\t\\t\\n\\t\\t\\t//if (WebObjectUtil.isElementPresent(dashboard.getNav_LogoutLink())){\\n\\t\\t\\t//\\tWebObjectUtil.clickElement(dashboard.getNav_LogoutLink());\\n\\t\\t\\t//}else{\\n\\t\\t\\t\\n\\t\\t\\t\\ttry {\\n/*\\t\\t\\t\\tWebObjectUtil.clickElement(dashboard.getnav_UserNameDropDown());\\n\\t\\t\\t\\t//WebObjectUtil.clickElement(dashboard.getNav_UserNameLink());\\n\\t\\t\\t\\tbuilder.moveToElement(dashboard.getNav_UserNameLink()).perform();\\n\\t\\t\\t\\tThread.sleep(5000);\\n\\t\\t\\t\\tWebElement logout = WebObjectUtil.GetWebElement(\\\"linktext\\\", \\\"Logout\\\");\\n\\t\\t\\t\\tFrameworkUtil.sElementName = \\\"Logout\\\";\\n\\t\\t\\t\\tWebObjectUtil.clickElement(logout);\\n\\t\\t\\t\\t//logout.click();\\n*/\\t\\t\\t\\tWebObjectUtil.ClickAndMouseHover(dashboard.getnav_UserNameDropDown());\\n\\t\\t\\t\\tThread.sleep(2000);\\n\\t\\t\\t\\t//WebObjectUtil.clickElement(dashboard.getNav_LogoutLink());\\n\\t\\t\\t\\tdashboard.getNav_LogoutLink();\\n\\t\\t\\t\\tbstatus = WebObjectUtil.selectCustomWebList(dashboard.getnav_UserNameDropDown(), \\\"Logout\\\");\\n\\n\\t\\t\\t\\t} catch (Exception e) {\\n\\t\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t\\t\\tdriver.get(sLogoutUrl);\\n\\t\\t\\t\\t\\t//WebObjectUtil.clickElement(dashboard.getNav_LogoutLink());\\t\\n\\t\\t\\t\\t}\\n\\t\\t\\t//}\\t\\n\\t\\t\\tdriver.manage().timeouts().implicitlyWait(20, TimeUnit.SECONDS);\\n\\t\\t\\t//LoggerUtil.writeStatusLog(WebObjectUtil.isElementPresent(login.getNav_userId()), \\\"Verify Logout\\\", \\\"user log out\\\");\\n\\t\\t\\t//FrameworkUtil.updateCustomResultBasedOnStatus(bstatus);\\n\\t\\t\\t\\tbLoginStatus=false;\\n\\t\\t\\t} catch (Exception e) {\\n\\t\\t\\t\\tLoggerUtil.log_type_info(\\\"Navigator - Issue with Logout\\\" );\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tdriver.get(sLogoutUrl);\\n\\t\\tbLoginStatus=false;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5ae09698488399853133f91c70344824\",\n \"score\": \"0.65567386\",\n \"text\": \"public String LogIn(){ \\r\\n FacesContext context = FacesContext.getCurrentInstance();\\r\\n HttpSession session = (HttpSession) context.getExternalContext().getSession(true);\\r\\n \\r\\n Korisnik korisnik = new Korisnik();\\r\\n \\r\\n LogInDAO dataAccesLayer = new LogInDAO();\\r\\n \\r\\n if(username != null && lozinka != null){\\r\\n korisnik = dataAccesLayer.LogIn(username, lozinka);\\r\\n } \\r\\n if(korisnik!=null && username.equals(\\\"admin\\\")){\\r\\n return \\\"admin\\\";\\r\\n }\\r\\n \\r\\n if(korisnik != null){\\r\\n return \\\"newTemplateClient\\\";\\r\\n // return \\\"proba\\\";\\r\\n }\\r\\n else{\\r\\n return \\\"index\\\";\\r\\n }\\r\\n \\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"76acbff5b45b5bd0b69fea05e567a919\",\n \"score\": \"0.65566784\",\n \"text\": \"@Test\\n public void testLogin() throws Exception {\\n LoginPage lp = new LoginPage(driver);\\n HomePage hp = new HomePage(driver);\\n\\n lp.open();\\n lp.login(USERNAME, PASSWORD, false);\\n\\n hp.waitForPage();\\n // verify that home page is visible\\n Assert.assertTrue(hp.isPresent());\\n\\n hp.logout();\\n // verify that we are not on home page anymore\\n Assert.assertFalse(hp.isPresent());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6802503f80195223f17437460ce81113\",\n \"score\": \"0.65512854\",\n \"text\": \"@Then(\\\"^User Login is successful$\\\")\\r\\n public void successfulLogin() {\\n driver.getTitle();\\r\\n if(driver.findElement(By.xpath(\\\"//a[@title='My Store']\\\")).isDisplayed())\\r\\n System.out.print(\\\"My Store Page has been displayed\\\");\\r\\n else\\r\\n System.out.println(\\\"Landing Page incorrect\\\");\\r\\n\\r\\n if (driver.findElement(By.xpath(\\\".//a[@href='http://automationpractice.com/index.php?controller=my-account']//span[contains(text(), 'Test User')]\\\")).isDisplayed());\\r\\n System.out.print(\\\"Login Successful\\\");\\r\\n driver.close();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a8f910317fec8a286b5d349e6d58581c\",\n \"score\": \"0.65496624\",\n \"text\": \"@Test\\n public void validate_Navigate_Back_To_The_Login_Page() {\\n sfaForgotPasswordPage.action_Click_On_Back_To_Login_Link();\\n\\n String title=data.getValueByName(\\\"LoginPageBrowserTitle\\\");\\n Assert.assertEquals(sfaLoginPage.check_Login_Page_Browser_Title(), title);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1f91b0c8a4043d594424f4b83f9aa6da\",\n \"score\": \"0.6542794\",\n \"text\": \"public void logOut(){\\n\\t\\tif(sender!=null)\\n\\t\\tsender.sendMessage(new Message('X',-1, \\\"Log out\\\"));\\n\\t\\tTabletApp.logOut(loginPanel);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c02688d6f8e69c72e4824f4d4df3af60\",\n \"score\": \"0.65351164\",\n \"text\": \"@Test\\n\\tpublic void webLoginApplicationTest() {\\t\\t\\n\\t\\t driver.get(\\\"http://experitest.com\\\");\\n\\t\\t driver.context(\\\"WEBVIEW_1\\\");\\n\\t\\t try{Thread.sleep(4000);} catch(Exception ignore){}\\n\\t\\t new WebDriverWait(driver, 100).until(ExpectedConditions.presenceOfElementLocated(By.xpath(\\\"//*[@nodeName='BUTTON' and @css='BUTTON.navbar-toggle']\\\")));\\n\\t\\t driver.findElement(By.xpath(\\\"//*[@nodeName='BUTTON' and @css='BUTTON.navbar-toggle']\\\")).click();\\n\\t\\t new WebDriverWait(driver, 30).until(ExpectedConditions.presenceOfElementLocated(By.xpath(\\\"//*[@text='Capabilities']\\\")));\\n\\t\\t driver.findElement(By.xpath(\\\"//*[@text='Support' and @css=concat('A[href=', \\\\\\\"'\\\\\\\", '#', \\\\\\\"'\\\\\\\", ']')]\\\")).click();\\n\\t\\t new WebDriverWait(driver, 30).until(ExpectedConditions.presenceOfElementLocated(By.xpath(\\\"//*[@text='Online Guide']\\\")));\\n\\t\\t driver.findElement(By.xpath(\\\"//*[@text='Online Guide' and @css=concat('A[href=', \\\\\\\"'\\\\\\\", '#', \\\\\\\"'\\\\\\\", ']')]\\\")).click();\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"15a7887298a7e007f44f228022b0fc92\",\n \"score\": \"0.65315986\",\n \"text\": \"public boolean click_SignIn() {\\n\\t\\tboolean status = true;\\n\\t\\t\\n\\t\\ttry {\\n\\t\\t\\tstatus = HoverAndClick(\\\"HomePage\\\", \\\"SingIn\\\", lnk_SignIn);\\n\\t\\t\\t\\n\\t\\t\\tif (status) {\\n\\t\\t\\t\\t\\n\\t\\t\\t}\\n\\t\\t\\tSystem.out.println(\\\"click sign in method\\\");\\n\\t\\t\\t\\n\\t\\t}catch (Exception e) {\\n\\t\\t\\tstatus = false;\\n\\t\\t\\tSystem.out.println(e.getMessage());\\n\\t\\t}\\n\\t\\treturn status;\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"43fb0b5b83b8ea7ef0cf9ed07bc09e78\",\n \"score\": \"0.6530122\",\n \"text\": \"@Test\\n\\tpublic void ValidLogin() {\\n\\t\\tdriver.findElement(By.xpath(\\\"//a[@class='item']\\\")).click();\\n\\n\\t\\t// Enter the Valid User name.\\n\\t\\tdriver.findElement(By.xpath(\\\" //input[@placeholder='Email address']\\\")).sendKeys(\\\"pras.testanalyst@gmail.com\\\");\\n\\n\\t\\t// Enter the Valid Password.\\n\\t\\tdriver.findElement(By.xpath(\\\"//input[@placeholder='Password']\\\")).sendKeys(\\\"mvp4444\\\");\\n\\n\\t\\t// Click on LogIn button.\\n\\t\\tdriver.findElement(By.xpath(\\\"//button[@class='fluid ui teal button']\\\")).click();\\n\\t\\tdriver.manage().timeouts().implicitlyWait(6, TimeUnit.SECONDS);\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"60256475394920b32f1c2bc984565d81\",\n \"score\": \"0.65280074\",\n \"text\": \"@Given(\\\"^User is on Admin Home Page$\\\")\\n\\tpublic void user_is_on_Admin_Home_Page() throws Throwable {\\n\\t\\tSystem.out.println(\\\"*********************************************\\\");\\n\\t\\tSystem.setProperty(\\\"webdriver.gecko.driver\\\", \\\"resources/drivers/geckodriver.exe\\\");\\n\\n//\\t\\tWebDriver driver = new FirefoxDriver();\\n\\n\\t\\tSystem.setProperty(\\\"webdriver.chrome.driver\\\", \\\"resources/drivers/chromedriver.exe\\\");\\n\\t\\tSystem.setProperty(\\\"webdriver.chrome.silentOutput\\\", \\\"true\\\");\\n\\t\\tWebDriver driver = new ChromeDriver();\\n\\t\\tthis.driver = driver;\\n\\n\\t\\tdriver.manage().window().maximize();\\n\\t\\tdriver.manage().timeouts().implicitlyWait(90, TimeUnit.SECONDS);\\n\\n//\\t\\t*****************************************************\\n\\n\\t\\tdriver.navigate().to(\\\"https://alchemy.hguy.co/jobs/wp-admin\\\");\\n\\t\\tString Username = \\\"root\\\";\\n\\t\\tString Password = \\\"pa$$w0rd\\\";\\n\\n\\t\\tdriver.findElement(By.xpath(\\\"//form[@id='loginform']//input[@type='text']\\\")).sendKeys(Username);\\n\\t\\tdriver.findElement(By.xpath(\\\"//form[@id='loginform']//input[@type='password']\\\")).sendKeys(Password);\\n\\t\\tdriver.findElement(By.xpath(\\\"//form[@id='loginform']//input[@type='submit']\\\")).click();\\n\\n\\t\\tAssert.assertTrue(driver.findElement(By.xpath(\\\"//h1[text()='Dashboard']\\\")).isDisplayed());\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2a0c590ab6bb20de2fa74f37444b1905\",\n \"score\": \"0.65237343\",\n \"text\": \"@Given(\\\"User has to redirects to login page\\\")\\n\\tpublic void user_has_to_redirects_to_login_page() throws InterruptedException {\\n\\t\\tdriver.get(\\\"http://127.0.0.1:8080/?#\\\");\\n\\t\\tdriver.findElement(By.id(\\\"signinEmail\\\")).sendKeys(\\\"aa@gmail.com\\\");\\n\\t driver.findElement(By.id(\\\"signinPassword\\\")).sendKeys(\\\"aa123\\\");\\n\\t driver.findElement(By.xpath(\\\"//*[@id=\\\\\\\"sec_main\\\\\\\"]/div/div/form/button\\\")).click();\\n\\t Thread.sleep(3000);\\n\\t driver.switchTo().alert().accept();\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"744ba27c59d8dc752d039310a058c43a\",\n \"score\": \"0.65229744\",\n \"text\": \"@Test\\n\\tpublic void test_Home_Page_Appear_Correct() {\\n\\t\\t// Create Login Page object\\n\\t\\tobjLogin = new Guru99Login(driver);\\n\\t\\t// Verify login page title\\n\\t\\tString loginPageTitle = objLogin.getLoginTitle();\\n\\t\\tassertTrue(loginPageTitle.toLowerCase().contains(\\\"guru99 bank\\\"));\\n\\t\\t// login to application\\n\\t\\tobjLogin.loginToGuru99(\\\"mgr123\\\", \\\"mgr!23\\\");\\n\\t\\t// go the next page\\n\\t\\tobjHomePage = new Guru99HomePage(driver);\\n\\t\\t// Verify home page\\n\\t\\tassertTrue(objHomePage.getHomePageDashboardUserName().toLowerCase().contains(\\\"manger id : mgr123\\\"));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd97023147a06d104d4b3e9e365bbf71\",\n \"score\": \"0.65186334\",\n \"text\": \"@Override\\r\\n\\tvoid login1() {\\r\\n\\t\\t// TODO Auto-generated method stub\\r\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8d00b64b7bb67773b7493796b9b97b9f\",\n \"score\": \"0.65183246\",\n \"text\": \"public void multipleLogin() \\n\\t{\\n\\t\\tFrameworkUtil.sTestCaseName = \\\"MultipleLogin\\\";\\n\\t\\tFrameworkUtil.sManualTestCaseName=\\\"Login Multi Org\\\";\\n\\t\\tFrameworkUtil.updateTestCaseNameinResult(FrameworkUtil.sTestCaseName,FrameworkUtil.sManualTestCaseName);\\n\\t\\tWebDriver driver = WebDriverUtil.getDriver();\\n\\t\\tPageFactory.initElements(driver, login);\\n\\t\\tPageFactory.initElements(driver, dashboard);\\n\\n\\t\\t\\tfor (String sKey : FrameworkUtil.GetPropKeysList()){\\n\\t\\t\\t\\t//System.out.println(sKey);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t//login to Navigator \\n\\t\\t\\t\\tif(sKey.contains(\\\".USERID\\\")==true && sKey.contains(\\\"INVALID\\\")== false){\\n\\t\\t\\t\\tString sPwd=sKey.replace(\\\".USERID\\\", \\\".PWD\\\");\\n\\t\\t\\t\\t\\n\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\tnav_Login(FrameworkUtil.getPropValues(sKey), FrameworkUtil.getPropValues(sPwd));\\n\\t\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t//check for login success\\n\\t\\t\\t\\t\\tString sUN=sKey.replace(\\\".USERID\\\", \\\".USERFULLNAME\\\");\\n\\t\\t\\t\\t\\tboolean bUN =WebObjectUtil.VerifyTextOnPage(FrameworkUtil.getPropValues(sUN));\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t//LoggerUtil.writeStatusLog(bUN, \\\"Verify Login\\\", \\\"Login with User name: \\\" + FrameworkUtil.getPropValues(sKey));\\n\\n\\t\\t\\t\\t\\t//log out Navigator\\n\\t\\t\\t\\t\\tif (FrameworkUtil.getPropValues(sKey).contains(\\\"admin\\\")){\\n\\t\\t\\t\\t\\t\\tnav_Signout();\\n\\t\\t\\t\\t\\t}else{\\n\\t\\t\\t\\t\\t\\tnav_Logout();\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t} catch (Exception e) {\\n\\t\\t\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t/*if (WebObjectUtil.getElementByText(\\\"Sign Out\\\") != null){\\n\\t\\t\\t\\t\\t\\tnav_Signout();\\t\\n\\t\\t\\t\\t\\t}else{\\n\\t\\t\\t\\t\\t\\tnav_Logout();\\n\\t\\t\\t\\t\\t}*/\\n\\t\\t\\t\\t\\t//bLoginStatus = false;\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9ed4c9a0688d95872dc10006df8c8945\",\n \"score\": \"0.6517186\",\n \"text\": \"@FXML\\r\\n\\tvoid logIn(ActionEvent event) throws IOException {\\r\\n\\t\\t// Instance.getClientConsole().setMessage(null);\\r\\n\\t\\tString user = userName.getText();\\r\\n\\t\\tString paString = Password.getText();\\r\\n\\t\\tString tyString = selectionbtns.getSelectionModel().getSelectedItem();\\r\\n\\t\\ttyString = getClass(tyString);\\r\\n\\t\\tSystem.out.println(tyString);\\r\\n\\t\\tif (!checkValid(user, paString, tyString))\\r\\n\\t\\t\\treturn;\\r\\n\\r\\n\\t\\tInstance.sendMessage(Command.accExist.ordinal() + \\\"@\\\" + user + \\\"@\\\" + paString + \\\"@from @\\\" + tyString\\r\\n\\t\\t\\t\\t+ \\\"@ WHERE username = :username and password = :password\\\");\\r\\n\\r\\n\\t\\tString reString = Instance.getClientConsole().getMessage().toString();\\r\\n\\t\\tif (reString.equals(\\\"\\\")) {\\r\\n\\t\\t\\terrorTXT.setVisible(true);\\r\\n\\t\\t\\terrorTXT.setText(\\\"User not found\\\");\\r\\n\\t\\t\\treturn;\\r\\n\\t\\t}\\r\\n\\t\\tif (reString.equals(\\\"You already loged in\\\")) {\\r\\n\\t\\t\\terrorTXT.setVisible(true);\\r\\n\\t\\t\\terrorTXT.setText(\\\"You already loged in\\\");\\r\\n\\t\\t} else {\\r\\n\\t\\t\\tgoTo(event, \\\"/com/example/project/\\\" + getController(tyString) + \\\".fxml\\\", reString);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cdccd5519528b243ce08e9ebc8e939c0\",\n \"score\": \"0.6513849\",\n \"text\": \"public static void LoginAsSingUser1User() {\\n \\n try {\\n\\tString sUserName = (String)FrameworkUtil.dictPropertyData.get(\\\"NAV.SINGLUXINC.USERID.SINGUSER1\\\");\\n\\t String sPassword = (String)FrameworkUtil.dictPropertyData.get(\\\"NAV.SINGLUXINC.PWD.SINGUSER1\\\");\\n\\t LoginTestCase.nav_Login(sUserName, sPassword);\\n} catch (Exception e) {\\n\\t// TODO Auto-generated catch block\\n\\te.printStackTrace();\\n}\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3b7c12b89add75e555a1dbb90f2c17ea\",\n \"score\": \"0.6512448\",\n \"text\": \"private void login() {\\n String username = etUsername.getText().toString();\\n String pass = etPassword.getText().toString();\\n\\n if (db.getUser(username, pass)) {\\n session.setLoggedIn(true);\\n Intent welcomeAct = new Intent(LoginActivity.this, WelcomeActivity.class);\\n startActivity(welcomeAct);\\n finish();\\n } else {\\n Toast.makeText(getApplicationContext(), \\\"Wrong username/password\\\", Toast.LENGTH_SHORT).show();\\n }\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":989698,"cells":{"query_id":{"kind":"string","value":"6f676f417997118e36bb33f5d38e0301"},"query":{"kind":"string","value":"Sets the value of the 'pid' field."},"positive_passages":{"kind":"list like","value":[{"docid":"61cbf7b49facf1e0b9dfefdf45208521","score":"0.75051045","text":"public void setPid(java.lang.CharSequence value) {\n this.pid = value;\n }","title":""}],"string":"[\n {\n \"docid\": \"61cbf7b49facf1e0b9dfefdf45208521\",\n \"score\": \"0.75051045\",\n \"text\": \"public void setPid(java.lang.CharSequence value) {\\n this.pid = value;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"2f9f01ed002c7dfe5747148e0c89e7de","score":"0.8292384","text":"public void setPid(int pid) {\n setAttribute(PID, pid);\n }","title":""},{"docid":"74b8759aed6d2eee6f0ba8827a7bf14d","score":"0.82349366","text":"public void setPid(Long pid) {\n\t\tthis.pid = pid;\n\t}","title":""},{"docid":"58a9673d8daa8e05f2d6b6c1cf8e95aa","score":"0.82105124","text":"public void setPid(Integer pid) {\n this.pid = pid;\n }","title":""},{"docid":"58a9673d8daa8e05f2d6b6c1cf8e95aa","score":"0.82105124","text":"public void setPid(Integer pid) {\n this.pid = pid;\n }","title":""},{"docid":"c51e3ef90c8aa67116c4f62eb4cae744","score":"0.82021004","text":"public void setPid(Long pid) {\n this.pid = pid;\n }","title":""},{"docid":"c51e3ef90c8aa67116c4f62eb4cae744","score":"0.82021004","text":"public void setPid(Long pid) {\n this.pid = pid;\n }","title":""},{"docid":"f460f6fb78f4595b920fcb6350d1fc40","score":"0.8196844","text":"public void setPid(Integer pid) {\r\n this.pid = pid;\r\n }","title":""},{"docid":"06ba5fd5cda4935ebf00f0cb294491d5","score":"0.79230404","text":"public void setPid(String pid) {\n this.pid = pid == null ? null : pid.trim();\n }","title":""},{"docid":"d919abad375ad109b2e58e3eee622dc4","score":"0.78406936","text":"@Option(name=\"--pid\", usage=\"The PID of the target JVM process\", metaVar=\"JVM PID\")\n\tprotected void setPid(long pid) {\n\t\tthis.pid = pid;\n\t}","title":""},{"docid":"7e93ee1ca93a5aa6b3573f32aeb6cec6","score":"0.74585617","text":"private void setPid(int what)\n {\n this.pid = what;\n }","title":""},{"docid":"dd5237d996f9a0afc499d2b82e071e4f","score":"0.7310796","text":"public void setpid(String value) {\n setNamedWhereClauseParam(\"pid\", value);\n }","title":""},{"docid":"2318d713002f0200724d4f629d2a269e","score":"0.72562575","text":"public Builder setPid(long value) {\n bitField0_ |= 0x00000020;\n pid_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"55fe16ed0093fc0e2c077bba64a7f83f","score":"0.7254277","text":"public Builder setPid(int value) {\n bitField0_ |= 0x00000001;\n pid_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"6a946ca5b8c6ed3152e862a304ea350d","score":"0.7233198","text":"public Builder setPid(int value) {\n bitField0_ |= 0x00000004;\n pid_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"6553ee1983fe6eaceedc8a45856d329d","score":"0.68595326","text":"public Builder setPID(\n java.lang.String value) {\n if (value == null) {\n throw new NullPointerException();\n }\n \n pID_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"0d8e33545c9f6fcea51fa1033e4a45ff","score":"0.6812456","text":"public Builder setProcessPid(int value) {\n bitField0_ |= 0x00000200;\n processPid_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"34b7090926325587ca39c1acca3c68c3","score":"0.6760781","text":"public void setPropid(Integer propid) {\n this.propid = propid;\n }","title":""},{"docid":"a7544635696001da112edf46b2d521f9","score":"0.6749616","text":"public Builder setProcessPid(int value) {\n bitField0_ |= 0x00000004;\n processPid_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"fbc32801e9056ba890a32d849963d3a4","score":"0.65496653","text":"public com.voole.hobbit2.hive.order.avro.BsRevenueDryInfo.Builder setPid(java.lang.CharSequence value) {\n validate(fields()[8], value);\n this.pid = value;\n fieldSetFlags()[8] = true;\n return this; \n }","title":""},{"docid":"aae6f03d052f4bbbca54f7ccf0bbb129","score":"0.6350039","text":"public void setPiid(Long piid) {\n this.piid = piid;\n }","title":""},{"docid":"5fe20e7a5fe921501aefb2c36645b82d","score":"0.6242857","text":"public void setProcessId(PlanString proId)\n {\n\tprocessId = proId;\n }","title":""},{"docid":"026f10d58d4b8257f03507843d850823","score":"0.61943185","text":"public com.opentext.bn.converters.avro.entity.FileIntrospectedEvent.Builder setProcessId(java.lang.String value) {\n validate(fields()[0], value);\n this.processId = value;\n fieldSetFlags()[0] = true;\n return this;\n }","title":""},{"docid":"79479cfa98f9affd3e2ffa5a23f3e950","score":"0.61324805","text":"public Builder setRemoteProcPid(int value) {\n bitField0_ |= 0x00000001;\n remoteProcPid_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"2b26e4dd9b85e536b469b797ff9fc724","score":"0.6003245","text":"public Builder setForkPid(int value) {\n bitField0_ |= 0x00001000;\n forkPid_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"c7d0aa06333c9001245432e14c6d561b","score":"0.6000703","text":"public int getPID() {\r\n\t\treturn pid;\r\n\t}","title":""},{"docid":"041d46bb337522b9f1233f2c27f9f5f2","score":"0.59852016","text":"public String getPid() {\n return pid;\n }","title":""},{"docid":"893ddb9b3e1ce604cd8f92784a7f7571","score":"0.59187466","text":"@Test\n public void testSetPid() {\n System.out.println(\"setPid\");\n int pid = 0;\n Product instance = new Product();\n instance.setPid(pid);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }","title":""},{"docid":"12e388c71d58089bbcea889348244e81","score":"0.59097594","text":"public Builder setProcessId(\n java.lang.String value) {\n if (value == null) {\n throw new NullPointerException();\n }\n \n processId_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"efa930d00b140fc85277b914eda6b007","score":"0.58662045","text":"public Long getPid() {\n\t\treturn pid;\n\t}","title":""},{"docid":"efa930d00b140fc85277b914eda6b007","score":"0.58662045","text":"public Long getPid() {\n\t\treturn pid;\n\t}","title":""},{"docid":"bc1b38282238e206792606c36ec171bc","score":"0.5830762","text":"public Long getPid() {\n return pid;\n }","title":""},{"docid":"bc1b38282238e206792606c36ec171bc","score":"0.5830762","text":"public Long getPid() {\n return pid;\n }","title":""},{"docid":"760e9c709ab8501188e4b5c5e402e76d","score":"0.58277273","text":"public Builder setTargetPid(int value) {\n bitField0_ |= 0x00000002;\n targetPid_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"8fe75b36f9b01e75bf5f2f5f63018ebf","score":"0.5821505","text":"public void setPIDKv(int [][] PID){\n \t// Initial assert\n \tif( PID.length != 6 )\n \t\treturn;\n \t\n \tfor( int i=0 ; i<6 ; i++ )\n \t\tif( PID[i].length != 3 )\n \t\t\treturn;\n \t\n \t// Assign new PID parameters\n \tPIDKv = PID;\n \t\n \t// Update GUI\n \tupdatePIDKvGUI();\n }","title":""},{"docid":"60cc2ba9e03edeed757348f98c2fd381","score":"0.5813809","text":"public void setPID(double p, double i, double d, double f){\n\t\tob.elevatorMaster.config_kP(0, p, 1000);\n\t\tob.elevatorMaster.config_kI(0, i, 1000);\n\t\tob.elevatorMaster.config_kD(0, d, 1000);\n\t\tob.elevatorMaster.config_kF(0, f, 1000);\n\t}","title":""},{"docid":"c3fcb76b3bd568c2b677d30652b166d1","score":"0.57836586","text":"public void setPRelId(Long value) {\n setValue(P_REL_ID, value);\n }","title":""},{"docid":"8b19cc1dbd5cc43820c31ac668f82bd1","score":"0.5764446","text":"public int getPid() {\n\t\treturn pid;\n\t}","title":""},{"docid":"a97188f3a6ef8709acbffe5e3c838354","score":"0.5735034","text":"public Integer getPid() {\r\n return pid;\r\n }","title":""},{"docid":"97a01f0bcbb047529cddfdf160415ba2","score":"0.5715238","text":"public void setpId(Long pId) {\n this.pId = pId;\n }","title":""},{"docid":"071c90fe94bacac0f8ed51b7bb6827b3","score":"0.5714451","text":"public Integer getPid() {\n return pid;\n }","title":""},{"docid":"071c90fe94bacac0f8ed51b7bb6827b3","score":"0.5714451","text":"public Integer getPid() {\n return pid;\n }","title":""},{"docid":"3f1bd02f8abea6365dc304380e985a44","score":"0.5674417","text":"public static void setRunning(String pid, boolean isRunning){\n\n Iterator<JobProperties> jobIterator = jobList.iterator();\n\n while (jobIterator.hasNext()) {\n JobProperties nextJob = jobIterator.next();\n if(nextJob.getPid().equals(pid)) nextJob.setRunning(isRunning);\n }\n }","title":""},{"docid":"3fa0e8e3a26c9e24709f93eb96dedb0e","score":"0.5652796","text":"public void setStartPID() {\t\n\t\tswitch (mode) {\n\t\tcase 1:\n\t\t\t\tleftpidf_drive.setSetpoint(angle * 13.75);\n\t\t\tbreak;\n\t\tcase 2:\n\t\t\t\trightpidf_drive.setSetpoint(angle * -13.75);\n\t\t\tbreak;\n\t\tdefault:\n\t\t\t\tleftpidf_drive.setSetpoint( (angle * 13.75) / 2 );\n\t\t\t\trightpidf_drive.setSetpoint( (angle * -13.75) / 2 );\n\t\t\tbreak;\n\t\t}\n\t}","title":""},{"docid":"f7424557a1f7a6df21be9d9a4999ea04","score":"0.5651911","text":"public long getPid() {\n return pid_;\n }","title":""},{"docid":"834083714f5c64794f5cdb7d303eecc2","score":"0.5648698","text":"public void setPPM(long ppm) {\n this.ppm = ppm;\n }","title":""},{"docid":"d688471e3aaaa1ee10d66f2126b5aa8a","score":"0.5635882","text":"public long getPid() {\n return pid_;\n }","title":""},{"docid":"9baf97941f0f96c009914c812ca3c97a","score":"0.56268287","text":"public int getPid() {\n return pid_;\n }","title":""},{"docid":"9baf97941f0f96c009914c812ca3c97a","score":"0.56268287","text":"public int getPid() {\n return pid_;\n }","title":""},{"docid":"eb54b688c945966ec24ad449274caa5c","score":"0.56143695","text":"public void setId( long pId )\r\n {\r\n mId = pId;\r\n }","title":""},{"docid":"eb54b688c945966ec24ad449274caa5c","score":"0.56143695","text":"public void setId( long pId )\r\n {\r\n mId = pId;\r\n }","title":""},{"docid":"cbdb4de79e562078df36389a2f70fac6","score":"0.5591323","text":"public int getPid() {\n return pid_;\n }","title":""},{"docid":"cbdb4de79e562078df36389a2f70fac6","score":"0.5591323","text":"public int getPid() {\n return pid_;\n }","title":""},{"docid":"14be98789777551ceeb92d96b17a732f","score":"0.5587124","text":"public Builder setParentPid(int value) {\n bitField0_ |= 0x00000004;\n parentPid_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"79c63e1d7d44d88cff7fd6f0c14d5cac","score":"0.55658823","text":"public Builder setParentPid(int value) {\n bitField0_ |= 0x00000100;\n parentPid_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"9e66e881778bb1a93cefb364c1d7f7e9","score":"0.5565594","text":"public int getPid()\n {\n return this.pid;\n }","title":""},{"docid":"afd744d8947298aa09fdc431a24b9a3f","score":"0.556497","text":"public void setpId(String pId) {\r\n this.pId = pId;\r\n }","title":""},{"docid":"bf4e372905f959460543768acdf9da3c","score":"0.5563752","text":"public java.lang.CharSequence getPid() {\n return pid;\n }","title":""},{"docid":"217a82f09a8138f87f4611eac898d350","score":"0.5548815","text":"public void setPIDPosition (double setpoint) {\n Arm.set(ControlMode.Position, setpoint);\n }","title":""},{"docid":"a2d6faeb037c2108860f8581ce514919","score":"0.55322677","text":"public java.lang.CharSequence getPid() {\n return pid;\n }","title":""},{"docid":"db127db1b2f901ae7ce02506613a2de4","score":"0.5486938","text":"public void setPIBID(java.lang.Long value) {\n this.PIB_ID = value;\n }","title":""},{"docid":"02d689218741c172a416d3d7db1465d1","score":"0.5452665","text":"@Override\n\t\tpublic void setPIDSourceType(PIDSourceType pidSource) {\n\t\t\t\n\t\t}","title":""},{"docid":"cd905ef97d66009114abff45beaf000d","score":"0.54483694","text":"public void setPnumber(Integer pnumber) {\n this.pnumber = pnumber;\n }","title":""},{"docid":"f3ebef82ae822dd0e58b29ceb9374c3c","score":"0.54278046","text":"public void setParOffrPerdId(Number value) {\n\t\tsetNumber(PAR_OFFR_PERD_ID, value);\n\t}","title":""},{"docid":"3714da779f00a8407db93a81adeb7c35","score":"0.5410758","text":"public void setParTranstypid(Number value) {\n\t\tsetNumber(PAR_TRANSTYPID, value);\n\t}","title":""},{"docid":"c4886a62789218520c71bf556b98c94f","score":"0.5373424","text":"public void enablePID() {\n\t\trightpidf_drive.enable();\n\t\tleftpidf_drive.enable();\n\t\t\n\t\trightpidf_drive.reset();\n\t\tleftpidf_drive.reset();\n\t}","title":""},{"docid":"17ea6a133ac270ef3d3177313530ef08","score":"0.53574985","text":"public void setJobId(String p_jobId)\n {\n\tm_jobId = p_jobId;\n }","title":""},{"docid":"0e634e551fad7e3a9734aa68907fc786","score":"0.53569186","text":"public int getPid() {\n return (int) getAttribute(PID);\n }","title":""},{"docid":"c5baa7de1aa9996157cf9aa9a3ec6770","score":"0.5349404","text":"public void setIdPiloto(int value) {\n this.idPiloto = value;\n }","title":""},{"docid":"1c583b8bbede68387adbbe71544e2fb8","score":"0.5345593","text":"@Override\n public void setPP(int new_PP){\n this.pp = new_PP;\n }","title":""},{"docid":"992d921cd8fc33cff099f25d81917159","score":"0.53442746","text":"public void setCallingPidUid(int pid, int uid) {\n for (int i = mTransitionAnimationMap.size() - 1; i >= 0; i--) {\n mTransitionAnimationMap.valueAt(i).adapter.setCallingPidUid(pid, uid);\n }\n }","title":""},{"docid":"6461e276223d7fddc3d867f5cea36df5","score":"0.5338155","text":"java.lang.String getPID();","title":""},{"docid":"5ac8aca45f5b311445ab8d8b141664f6","score":"0.5333537","text":"public void setPToPerdId(Number value) {\n\t\tsetNumber(P_TO_PERD_ID, value);\n\t}","title":""},{"docid":"fb50f8a3c6325301b72ca13508d82392","score":"0.53238946","text":"public Builder setPIDBytes(\n com.google.protobuf.ByteString value) {\n if (value == null) {\n throw new NullPointerException();\n }\n checkByteStringIsUtf8(value);\n \n pID_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"3a917b15a324d0d7f967f7a4b10eb8e1","score":"0.5306991","text":"@Override\r\n\tpublic void setPIDSourceType(PIDSourceType pidSource) {\n\t\t\r\n\t}","title":""},{"docid":"329751e6d3346614ee0db41af193ab39","score":"0.5301216","text":"public static void resetPid() {\n\t\tlast_pid = 0;\n\t}","title":""},{"docid":"ec195420c48bb6855073528c863fd81b","score":"0.52619797","text":"public Builder setBlockedPid(int value) {\n bitField0_ |= 0x00000040;\n blockedPid_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"7b922e2e964ea03b5852f5df22ed55fb","score":"0.5254519","text":"public void setInProcessId(final int inProcessId) {\n this.inProcessId = inProcessId;\n }","title":""},{"docid":"4f380e5a719c0bdbbd3499de2385dec8","score":"0.52535397","text":"public org.LNDCDC_NCS_TCS.BRANDS.apache.nifi.LNDCDC_NCS_TCS_BRANDS.Builder setPIBID(java.lang.Long value) {\n validate(fields()[10], value);\n this.PIB_ID = value;\n fieldSetFlags()[10] = true;\n return this;\n }","title":""},{"docid":"7684395c48a4bbefbb753dc9b74d5847","score":"0.52407694","text":"void setJobId(long jobId);","title":""},{"docid":"1c44f97c9b0ab47df36b9c05dc29e3fa","score":"0.52305853","text":"public void setPStateId(Integer value) {\n setValue(P_STATE_ID, value);\n }","title":""},{"docid":"91e38378f0bdacfeb8e07a0aae81f5b4","score":"0.52302927","text":"public void setRefreshProcess(XModel xm, String pidFld)\r\n/* 134: */ {\r\n/* 135:171 */ for (int i = 0; i < xm.getNumChildren(); i++) {\r\n/* 136:174 */ for (int j = 0; j < xm.get(i).getNumChildren(); j++) {\r\n/* 137:176 */ xm.get(i).get(j).set(\"@refreshprocess\", xm.get(i).get(j).get(pidFld + \"/@value\"));\r\n/* 138: */ }\r\n/* 139: */ }\r\n/* 140: */ }","title":""},{"docid":"973c09cadf6603e33cceeeab95727d5b","score":"0.52248716","text":"public void setPvp(int pvp) {\r\n this.pvp = pvp;\r\n }","title":""},{"docid":"2563b3f918722df61552f4f0c34a591b","score":"0.52240044","text":"private void setProducerId(long value) {\n \n producerId_ = value;\n }","title":""},{"docid":"2563b3f918722df61552f4f0c34a591b","score":"0.52240044","text":"private void setProducerId(long value) {\n \n producerId_ = value;\n }","title":""},{"docid":"2563b3f918722df61552f4f0c34a591b","score":"0.52240044","text":"private void setProducerId(long value) {\n \n producerId_ = value;\n }","title":""},{"docid":"2563b3f918722df61552f4f0c34a591b","score":"0.52240044","text":"private void setProducerId(long value) {\n \n producerId_ = value;\n }","title":""},{"docid":"30cbfa2827b1678e0f6f483935937f52","score":"0.5194876","text":"@Override\n\tpublic void setServiceProcessId(long serviceProcessId) {\n\t\t_serviceInfoProcess.setServiceProcessId(serviceProcessId);\n\t}","title":""},{"docid":"82f80a8c0b8c0c9bab9eed332ff69f7a","score":"0.51928365","text":"public Builder setBpid(\n java.lang.String value) {\n if (value == null) {\n throw new NullPointerException();\n }\n bitField0_ |= 0x00000002;\n bpid_ = value;\n onChanged();\n return this;\n }","title":""},{"docid":"63fc3d085e4a39a6a2dc76f96125c04e","score":"0.5185478","text":"public void setInstanceProcessID ( String instanceProcessID )\n throws DataObjectException;","title":""},{"docid":"e60af58802f2684abbbc103ca4472f40","score":"0.51854527","text":"public Builder clearPid() {\n bitField0_ = (bitField0_ & ~0x00000001);\n pid_ = 0;\n onChanged();\n return this;\n }","title":""},{"docid":"292fbe452b5a217920bcde260efb1554","score":"0.5175138","text":"@Generated(value={\"com.threerings.presents.tools.GenDObjectTask\"})\n public void setPawnId (int value)\n {\n int ovalue = this.pawnId;\n requestAttributeChange(\n PAWN_ID, Integer.valueOf(value), Integer.valueOf(ovalue));\n this.pawnId = value;\n }","title":""},{"docid":"6e2129fbcb9d54fcbe21e4627758aaeb","score":"0.51642364","text":"public String getpid() {\n return (String)getNamedWhereClauseParam(\"pid\");\n }","title":""},{"docid":"bd69b254dcd2da0c25ada912d1459687","score":"0.51574767","text":"@Override\n public final void setIid(final SrvPlcId pIid) {\n this.iid = pIid;\n if (this.iid != null) {\n this.pipl = this.iid.getPipl();\n this.itm = this.iid.getItm();\n } else {\n this.pipl = null;\n this.itm = null;\n }\n }","title":""},{"docid":"a340a09bc69481b5e3d8ae37080a01a7","score":"0.5149207","text":"public void setPosid(java.lang.String newPosid) {\n\tposid = newPosid;\n}","title":""},{"docid":"a340a09bc69481b5e3d8ae37080a01a7","score":"0.5149207","text":"public void setPosid(java.lang.String newPosid) {\n\tposid = newPosid;\n}","title":""},{"docid":"2d4d7b36099dbcd485c26a3a1f6e4631","score":"0.514522","text":"public Builder clearPid() {\n bitField0_ = (bitField0_ & ~0x00000004);\n pid_ = 0;\n onChanged();\n return this;\n }","title":""},{"docid":"705ca105f926b8e68a0d3d13113e01b3","score":"0.51335895","text":"public Builder clearPid() {\n bitField0_ = (bitField0_ & ~0x00000020);\n pid_ = 0L;\n onChanged();\n return this;\n }","title":""},{"docid":"8a318bf8e4b01cf453012fada349c11a","score":"0.5116264","text":"@Override\r\n public void setPIDSourceType(PIDSourceType pidSource)\r\n {\r\n this.sourceType = pidSource;\r\n }","title":""},{"docid":"59aa7827817dadf00e67fa87a5de37cc","score":"0.51028025","text":"public void setParMrktId(Number value) {\n\t\tsetNumber(PAR_MRKT_ID, value);\n\t}","title":""},{"docid":"ccca78d87aced41f59bcb70433c4531f","score":"0.50989854","text":"public void setPort(int p)\n\t\t{\n\t\t\tportNumber = p;\n\t\t}","title":""}],"string":"[\n {\n \"docid\": \"2f9f01ed002c7dfe5747148e0c89e7de\",\n \"score\": \"0.8292384\",\n \"text\": \"public void setPid(int pid) {\\n setAttribute(PID, pid);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"74b8759aed6d2eee6f0ba8827a7bf14d\",\n \"score\": \"0.82349366\",\n \"text\": \"public void setPid(Long pid) {\\n\\t\\tthis.pid = pid;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"58a9673d8daa8e05f2d6b6c1cf8e95aa\",\n \"score\": \"0.82105124\",\n \"text\": \"public void setPid(Integer pid) {\\n this.pid = pid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"58a9673d8daa8e05f2d6b6c1cf8e95aa\",\n \"score\": \"0.82105124\",\n \"text\": \"public void setPid(Integer pid) {\\n this.pid = pid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c51e3ef90c8aa67116c4f62eb4cae744\",\n \"score\": \"0.82021004\",\n \"text\": \"public void setPid(Long pid) {\\n this.pid = pid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c51e3ef90c8aa67116c4f62eb4cae744\",\n \"score\": \"0.82021004\",\n \"text\": \"public void setPid(Long pid) {\\n this.pid = pid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f460f6fb78f4595b920fcb6350d1fc40\",\n \"score\": \"0.8196844\",\n \"text\": \"public void setPid(Integer pid) {\\r\\n this.pid = pid;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"06ba5fd5cda4935ebf00f0cb294491d5\",\n \"score\": \"0.79230404\",\n \"text\": \"public void setPid(String pid) {\\n this.pid = pid == null ? null : pid.trim();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d919abad375ad109b2e58e3eee622dc4\",\n \"score\": \"0.78406936\",\n \"text\": \"@Option(name=\\\"--pid\\\", usage=\\\"The PID of the target JVM process\\\", metaVar=\\\"JVM PID\\\")\\n\\tprotected void setPid(long pid) {\\n\\t\\tthis.pid = pid;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7e93ee1ca93a5aa6b3573f32aeb6cec6\",\n \"score\": \"0.74585617\",\n \"text\": \"private void setPid(int what)\\n {\\n this.pid = what;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"dd5237d996f9a0afc499d2b82e071e4f\",\n \"score\": \"0.7310796\",\n \"text\": \"public void setpid(String value) {\\n setNamedWhereClauseParam(\\\"pid\\\", value);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2318d713002f0200724d4f629d2a269e\",\n \"score\": \"0.72562575\",\n \"text\": \"public Builder setPid(long value) {\\n bitField0_ |= 0x00000020;\\n pid_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"55fe16ed0093fc0e2c077bba64a7f83f\",\n \"score\": \"0.7254277\",\n \"text\": \"public Builder setPid(int value) {\\n bitField0_ |= 0x00000001;\\n pid_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6a946ca5b8c6ed3152e862a304ea350d\",\n \"score\": \"0.7233198\",\n \"text\": \"public Builder setPid(int value) {\\n bitField0_ |= 0x00000004;\\n pid_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6553ee1983fe6eaceedc8a45856d329d\",\n \"score\": \"0.68595326\",\n \"text\": \"public Builder setPID(\\n java.lang.String value) {\\n if (value == null) {\\n throw new NullPointerException();\\n }\\n \\n pID_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0d8e33545c9f6fcea51fa1033e4a45ff\",\n \"score\": \"0.6812456\",\n \"text\": \"public Builder setProcessPid(int value) {\\n bitField0_ |= 0x00000200;\\n processPid_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"34b7090926325587ca39c1acca3c68c3\",\n \"score\": \"0.6760781\",\n \"text\": \"public void setPropid(Integer propid) {\\n this.propid = propid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a7544635696001da112edf46b2d521f9\",\n \"score\": \"0.6749616\",\n \"text\": \"public Builder setProcessPid(int value) {\\n bitField0_ |= 0x00000004;\\n processPid_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fbc32801e9056ba890a32d849963d3a4\",\n \"score\": \"0.65496653\",\n \"text\": \"public com.voole.hobbit2.hive.order.avro.BsRevenueDryInfo.Builder setPid(java.lang.CharSequence value) {\\n validate(fields()[8], value);\\n this.pid = value;\\n fieldSetFlags()[8] = true;\\n return this; \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aae6f03d052f4bbbca54f7ccf0bbb129\",\n \"score\": \"0.6350039\",\n \"text\": \"public void setPiid(Long piid) {\\n this.piid = piid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5fe20e7a5fe921501aefb2c36645b82d\",\n \"score\": \"0.6242857\",\n \"text\": \"public void setProcessId(PlanString proId)\\n {\\n\\tprocessId = proId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"026f10d58d4b8257f03507843d850823\",\n \"score\": \"0.61943185\",\n \"text\": \"public com.opentext.bn.converters.avro.entity.FileIntrospectedEvent.Builder setProcessId(java.lang.String value) {\\n validate(fields()[0], value);\\n this.processId = value;\\n fieldSetFlags()[0] = true;\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"79479cfa98f9affd3e2ffa5a23f3e950\",\n \"score\": \"0.61324805\",\n \"text\": \"public Builder setRemoteProcPid(int value) {\\n bitField0_ |= 0x00000001;\\n remoteProcPid_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2b26e4dd9b85e536b469b797ff9fc724\",\n \"score\": \"0.6003245\",\n \"text\": \"public Builder setForkPid(int value) {\\n bitField0_ |= 0x00001000;\\n forkPid_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c7d0aa06333c9001245432e14c6d561b\",\n \"score\": \"0.6000703\",\n \"text\": \"public int getPID() {\\r\\n\\t\\treturn pid;\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"041d46bb337522b9f1233f2c27f9f5f2\",\n \"score\": \"0.59852016\",\n \"text\": \"public String getPid() {\\n return pid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"893ddb9b3e1ce604cd8f92784a7f7571\",\n \"score\": \"0.59187466\",\n \"text\": \"@Test\\n public void testSetPid() {\\n System.out.println(\\\"setPid\\\");\\n int pid = 0;\\n Product instance = new Product();\\n instance.setPid(pid);\\n // TODO review the generated test code and remove the default call to fail.\\n fail(\\\"The test case is a prototype.\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"12e388c71d58089bbcea889348244e81\",\n \"score\": \"0.59097594\",\n \"text\": \"public Builder setProcessId(\\n java.lang.String value) {\\n if (value == null) {\\n throw new NullPointerException();\\n }\\n \\n processId_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"efa930d00b140fc85277b914eda6b007\",\n \"score\": \"0.58662045\",\n \"text\": \"public Long getPid() {\\n\\t\\treturn pid;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"efa930d00b140fc85277b914eda6b007\",\n \"score\": \"0.58662045\",\n \"text\": \"public Long getPid() {\\n\\t\\treturn pid;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc1b38282238e206792606c36ec171bc\",\n \"score\": \"0.5830762\",\n \"text\": \"public Long getPid() {\\n return pid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bc1b38282238e206792606c36ec171bc\",\n \"score\": \"0.5830762\",\n \"text\": \"public Long getPid() {\\n return pid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"760e9c709ab8501188e4b5c5e402e76d\",\n \"score\": \"0.58277273\",\n \"text\": \"public Builder setTargetPid(int value) {\\n bitField0_ |= 0x00000002;\\n targetPid_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8fe75b36f9b01e75bf5f2f5f63018ebf\",\n \"score\": \"0.5821505\",\n \"text\": \"public void setPIDKv(int [][] PID){\\n \\t// Initial assert\\n \\tif( PID.length != 6 )\\n \\t\\treturn;\\n \\t\\n \\tfor( int i=0 ; i<6 ; i++ )\\n \\t\\tif( PID[i].length != 3 )\\n \\t\\t\\treturn;\\n \\t\\n \\t// Assign new PID parameters\\n \\tPIDKv = PID;\\n \\t\\n \\t// Update GUI\\n \\tupdatePIDKvGUI();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"60cc2ba9e03edeed757348f98c2fd381\",\n \"score\": \"0.5813809\",\n \"text\": \"public void setPID(double p, double i, double d, double f){\\n\\t\\tob.elevatorMaster.config_kP(0, p, 1000);\\n\\t\\tob.elevatorMaster.config_kI(0, i, 1000);\\n\\t\\tob.elevatorMaster.config_kD(0, d, 1000);\\n\\t\\tob.elevatorMaster.config_kF(0, f, 1000);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c3fcb76b3bd568c2b677d30652b166d1\",\n \"score\": \"0.57836586\",\n \"text\": \"public void setPRelId(Long value) {\\n setValue(P_REL_ID, value);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8b19cc1dbd5cc43820c31ac668f82bd1\",\n \"score\": \"0.5764446\",\n \"text\": \"public int getPid() {\\n\\t\\treturn pid;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a97188f3a6ef8709acbffe5e3c838354\",\n \"score\": \"0.5735034\",\n \"text\": \"public Integer getPid() {\\r\\n return pid;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"97a01f0bcbb047529cddfdf160415ba2\",\n \"score\": \"0.5715238\",\n \"text\": \"public void setpId(Long pId) {\\n this.pId = pId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"071c90fe94bacac0f8ed51b7bb6827b3\",\n \"score\": \"0.5714451\",\n \"text\": \"public Integer getPid() {\\n return pid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"071c90fe94bacac0f8ed51b7bb6827b3\",\n \"score\": \"0.5714451\",\n \"text\": \"public Integer getPid() {\\n return pid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3f1bd02f8abea6365dc304380e985a44\",\n \"score\": \"0.5674417\",\n \"text\": \"public static void setRunning(String pid, boolean isRunning){\\n\\n Iterator<JobProperties> jobIterator = jobList.iterator();\\n\\n while (jobIterator.hasNext()) {\\n JobProperties nextJob = jobIterator.next();\\n if(nextJob.getPid().equals(pid)) nextJob.setRunning(isRunning);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3fa0e8e3a26c9e24709f93eb96dedb0e\",\n \"score\": \"0.5652796\",\n \"text\": \"public void setStartPID() {\\t\\n\\t\\tswitch (mode) {\\n\\t\\tcase 1:\\n\\t\\t\\t\\tleftpidf_drive.setSetpoint(angle * 13.75);\\n\\t\\t\\tbreak;\\n\\t\\tcase 2:\\n\\t\\t\\t\\trightpidf_drive.setSetpoint(angle * -13.75);\\n\\t\\t\\tbreak;\\n\\t\\tdefault:\\n\\t\\t\\t\\tleftpidf_drive.setSetpoint( (angle * 13.75) / 2 );\\n\\t\\t\\t\\trightpidf_drive.setSetpoint( (angle * -13.75) / 2 );\\n\\t\\t\\tbreak;\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f7424557a1f7a6df21be9d9a4999ea04\",\n \"score\": \"0.5651911\",\n \"text\": \"public long getPid() {\\n return pid_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"834083714f5c64794f5cdb7d303eecc2\",\n \"score\": \"0.5648698\",\n \"text\": \"public void setPPM(long ppm) {\\n this.ppm = ppm;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d688471e3aaaa1ee10d66f2126b5aa8a\",\n \"score\": \"0.5635882\",\n \"text\": \"public long getPid() {\\n return pid_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9baf97941f0f96c009914c812ca3c97a\",\n \"score\": \"0.56268287\",\n \"text\": \"public int getPid() {\\n return pid_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9baf97941f0f96c009914c812ca3c97a\",\n \"score\": \"0.56268287\",\n \"text\": \"public int getPid() {\\n return pid_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eb54b688c945966ec24ad449274caa5c\",\n \"score\": \"0.56143695\",\n \"text\": \"public void setId( long pId )\\r\\n {\\r\\n mId = pId;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eb54b688c945966ec24ad449274caa5c\",\n \"score\": \"0.56143695\",\n \"text\": \"public void setId( long pId )\\r\\n {\\r\\n mId = pId;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cbdb4de79e562078df36389a2f70fac6\",\n \"score\": \"0.5591323\",\n \"text\": \"public int getPid() {\\n return pid_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cbdb4de79e562078df36389a2f70fac6\",\n \"score\": \"0.5591323\",\n \"text\": \"public int getPid() {\\n return pid_;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"14be98789777551ceeb92d96b17a732f\",\n \"score\": \"0.5587124\",\n \"text\": \"public Builder setParentPid(int value) {\\n bitField0_ |= 0x00000004;\\n parentPid_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"79c63e1d7d44d88cff7fd6f0c14d5cac\",\n \"score\": \"0.55658823\",\n \"text\": \"public Builder setParentPid(int value) {\\n bitField0_ |= 0x00000100;\\n parentPid_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9e66e881778bb1a93cefb364c1d7f7e9\",\n \"score\": \"0.5565594\",\n \"text\": \"public int getPid()\\n {\\n return this.pid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"afd744d8947298aa09fdc431a24b9a3f\",\n \"score\": \"0.556497\",\n \"text\": \"public void setpId(String pId) {\\r\\n this.pId = pId;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bf4e372905f959460543768acdf9da3c\",\n \"score\": \"0.5563752\",\n \"text\": \"public java.lang.CharSequence getPid() {\\n return pid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"217a82f09a8138f87f4611eac898d350\",\n \"score\": \"0.5548815\",\n \"text\": \"public void setPIDPosition (double setpoint) {\\n Arm.set(ControlMode.Position, setpoint);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a2d6faeb037c2108860f8581ce514919\",\n \"score\": \"0.55322677\",\n \"text\": \"public java.lang.CharSequence getPid() {\\n return pid;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"db127db1b2f901ae7ce02506613a2de4\",\n \"score\": \"0.5486938\",\n \"text\": \"public void setPIBID(java.lang.Long value) {\\n this.PIB_ID = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"02d689218741c172a416d3d7db1465d1\",\n \"score\": \"0.5452665\",\n \"text\": \"@Override\\n\\t\\tpublic void setPIDSourceType(PIDSourceType pidSource) {\\n\\t\\t\\t\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd905ef97d66009114abff45beaf000d\",\n \"score\": \"0.54483694\",\n \"text\": \"public void setPnumber(Integer pnumber) {\\n this.pnumber = pnumber;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f3ebef82ae822dd0e58b29ceb9374c3c\",\n \"score\": \"0.54278046\",\n \"text\": \"public void setParOffrPerdId(Number value) {\\n\\t\\tsetNumber(PAR_OFFR_PERD_ID, value);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3714da779f00a8407db93a81adeb7c35\",\n \"score\": \"0.5410758\",\n \"text\": \"public void setParTranstypid(Number value) {\\n\\t\\tsetNumber(PAR_TRANSTYPID, value);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c4886a62789218520c71bf556b98c94f\",\n \"score\": \"0.5373424\",\n \"text\": \"public void enablePID() {\\n\\t\\trightpidf_drive.enable();\\n\\t\\tleftpidf_drive.enable();\\n\\t\\t\\n\\t\\trightpidf_drive.reset();\\n\\t\\tleftpidf_drive.reset();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"17ea6a133ac270ef3d3177313530ef08\",\n \"score\": \"0.53574985\",\n \"text\": \"public void setJobId(String p_jobId)\\n {\\n\\tm_jobId = p_jobId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0e634e551fad7e3a9734aa68907fc786\",\n \"score\": \"0.53569186\",\n \"text\": \"public int getPid() {\\n return (int) getAttribute(PID);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c5baa7de1aa9996157cf9aa9a3ec6770\",\n \"score\": \"0.5349404\",\n \"text\": \"public void setIdPiloto(int value) {\\n this.idPiloto = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1c583b8bbede68387adbbe71544e2fb8\",\n \"score\": \"0.5345593\",\n \"text\": \"@Override\\n public void setPP(int new_PP){\\n this.pp = new_PP;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"992d921cd8fc33cff099f25d81917159\",\n \"score\": \"0.53442746\",\n \"text\": \"public void setCallingPidUid(int pid, int uid) {\\n for (int i = mTransitionAnimationMap.size() - 1; i >= 0; i--) {\\n mTransitionAnimationMap.valueAt(i).adapter.setCallingPidUid(pid, uid);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6461e276223d7fddc3d867f5cea36df5\",\n \"score\": \"0.5338155\",\n \"text\": \"java.lang.String getPID();\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5ac8aca45f5b311445ab8d8b141664f6\",\n \"score\": \"0.5333537\",\n \"text\": \"public void setPToPerdId(Number value) {\\n\\t\\tsetNumber(P_TO_PERD_ID, value);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fb50f8a3c6325301b72ca13508d82392\",\n \"score\": \"0.53238946\",\n \"text\": \"public Builder setPIDBytes(\\n com.google.protobuf.ByteString value) {\\n if (value == null) {\\n throw new NullPointerException();\\n }\\n checkByteStringIsUtf8(value);\\n \\n pID_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3a917b15a324d0d7f967f7a4b10eb8e1\",\n \"score\": \"0.5306991\",\n \"text\": \"@Override\\r\\n\\tpublic void setPIDSourceType(PIDSourceType pidSource) {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"329751e6d3346614ee0db41af193ab39\",\n \"score\": \"0.5301216\",\n \"text\": \"public static void resetPid() {\\n\\t\\tlast_pid = 0;\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ec195420c48bb6855073528c863fd81b\",\n \"score\": \"0.52619797\",\n \"text\": \"public Builder setBlockedPid(int value) {\\n bitField0_ |= 0x00000040;\\n blockedPid_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7b922e2e964ea03b5852f5df22ed55fb\",\n \"score\": \"0.5254519\",\n \"text\": \"public void setInProcessId(final int inProcessId) {\\n this.inProcessId = inProcessId;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4f380e5a719c0bdbbd3499de2385dec8\",\n \"score\": \"0.52535397\",\n \"text\": \"public org.LNDCDC_NCS_TCS.BRANDS.apache.nifi.LNDCDC_NCS_TCS_BRANDS.Builder setPIBID(java.lang.Long value) {\\n validate(fields()[10], value);\\n this.PIB_ID = value;\\n fieldSetFlags()[10] = true;\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7684395c48a4bbefbb753dc9b74d5847\",\n \"score\": \"0.52407694\",\n \"text\": \"void setJobId(long jobId);\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1c44f97c9b0ab47df36b9c05dc29e3fa\",\n \"score\": \"0.52305853\",\n \"text\": \"public void setPStateId(Integer value) {\\n setValue(P_STATE_ID, value);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"91e38378f0bdacfeb8e07a0aae81f5b4\",\n \"score\": \"0.52302927\",\n \"text\": \"public void setRefreshProcess(XModel xm, String pidFld)\\r\\n/* 134: */ {\\r\\n/* 135:171 */ for (int i = 0; i < xm.getNumChildren(); i++) {\\r\\n/* 136:174 */ for (int j = 0; j < xm.get(i).getNumChildren(); j++) {\\r\\n/* 137:176 */ xm.get(i).get(j).set(\\\"@refreshprocess\\\", xm.get(i).get(j).get(pidFld + \\\"/@value\\\"));\\r\\n/* 138: */ }\\r\\n/* 139: */ }\\r\\n/* 140: */ }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"973c09cadf6603e33cceeeab95727d5b\",\n \"score\": \"0.52248716\",\n \"text\": \"public void setPvp(int pvp) {\\r\\n this.pvp = pvp;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2563b3f918722df61552f4f0c34a591b\",\n \"score\": \"0.52240044\",\n \"text\": \"private void setProducerId(long value) {\\n \\n producerId_ = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2563b3f918722df61552f4f0c34a591b\",\n \"score\": \"0.52240044\",\n \"text\": \"private void setProducerId(long value) {\\n \\n producerId_ = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2563b3f918722df61552f4f0c34a591b\",\n \"score\": \"0.52240044\",\n \"text\": \"private void setProducerId(long value) {\\n \\n producerId_ = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2563b3f918722df61552f4f0c34a591b\",\n \"score\": \"0.52240044\",\n \"text\": \"private void setProducerId(long value) {\\n \\n producerId_ = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"30cbfa2827b1678e0f6f483935937f52\",\n \"score\": \"0.5194876\",\n \"text\": \"@Override\\n\\tpublic void setServiceProcessId(long serviceProcessId) {\\n\\t\\t_serviceInfoProcess.setServiceProcessId(serviceProcessId);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"82f80a8c0b8c0c9bab9eed332ff69f7a\",\n \"score\": \"0.51928365\",\n \"text\": \"public Builder setBpid(\\n java.lang.String value) {\\n if (value == null) {\\n throw new NullPointerException();\\n }\\n bitField0_ |= 0x00000002;\\n bpid_ = value;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"63fc3d085e4a39a6a2dc76f96125c04e\",\n \"score\": \"0.5185478\",\n \"text\": \"public void setInstanceProcessID ( String instanceProcessID )\\n throws DataObjectException;\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e60af58802f2684abbbc103ca4472f40\",\n \"score\": \"0.51854527\",\n \"text\": \"public Builder clearPid() {\\n bitField0_ = (bitField0_ & ~0x00000001);\\n pid_ = 0;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"292fbe452b5a217920bcde260efb1554\",\n \"score\": \"0.5175138\",\n \"text\": \"@Generated(value={\\\"com.threerings.presents.tools.GenDObjectTask\\\"})\\n public void setPawnId (int value)\\n {\\n int ovalue = this.pawnId;\\n requestAttributeChange(\\n PAWN_ID, Integer.valueOf(value), Integer.valueOf(ovalue));\\n this.pawnId = value;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e2129fbcb9d54fcbe21e4627758aaeb\",\n \"score\": \"0.51642364\",\n \"text\": \"public String getpid() {\\n return (String)getNamedWhereClauseParam(\\\"pid\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bd69b254dcd2da0c25ada912d1459687\",\n \"score\": \"0.51574767\",\n \"text\": \"@Override\\n public final void setIid(final SrvPlcId pIid) {\\n this.iid = pIid;\\n if (this.iid != null) {\\n this.pipl = this.iid.getPipl();\\n this.itm = this.iid.getItm();\\n } else {\\n this.pipl = null;\\n this.itm = null;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a340a09bc69481b5e3d8ae37080a01a7\",\n \"score\": \"0.5149207\",\n \"text\": \"public void setPosid(java.lang.String newPosid) {\\n\\tposid = newPosid;\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a340a09bc69481b5e3d8ae37080a01a7\",\n \"score\": \"0.5149207\",\n \"text\": \"public void setPosid(java.lang.String newPosid) {\\n\\tposid = newPosid;\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d4d7b36099dbcd485c26a3a1f6e4631\",\n \"score\": \"0.514522\",\n \"text\": \"public Builder clearPid() {\\n bitField0_ = (bitField0_ & ~0x00000004);\\n pid_ = 0;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"705ca105f926b8e68a0d3d13113e01b3\",\n \"score\": \"0.51335895\",\n \"text\": \"public Builder clearPid() {\\n bitField0_ = (bitField0_ & ~0x00000020);\\n pid_ = 0L;\\n onChanged();\\n return this;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8a318bf8e4b01cf453012fada349c11a\",\n \"score\": \"0.5116264\",\n \"text\": \"@Override\\r\\n public void setPIDSourceType(PIDSourceType pidSource)\\r\\n {\\r\\n this.sourceType = pidSource;\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"59aa7827817dadf00e67fa87a5de37cc\",\n \"score\": \"0.51028025\",\n \"text\": \"public void setParMrktId(Number value) {\\n\\t\\tsetNumber(PAR_MRKT_ID, value);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ccca78d87aced41f59bcb70433c4531f\",\n \"score\": \"0.50989854\",\n \"text\": \"public void setPort(int p)\\n\\t\\t{\\n\\t\\t\\tportNumber = p;\\n\\t\\t}\",\n \"title\": \"\"\n }\n]","isConversational":false}}},{"rowIdx":989699,"cells":{"query_id":{"kind":"string","value":"3b2d4c55b27dd59113993c7f81b4939f"},"query":{"kind":"string","value":"Maakt het mogelijk om gebruiker in een parcel te steken"},"positive_passages":{"kind":"list like","value":[{"docid":"2b3c486c7781dfb721dba9dcc77a8f81","score":"0.0","text":"@Override\n public void writeToParcel(Parcel dest, int flags) {\n dest.writeString(emailadres);\n dest.writeString(password);\n dest.writeString(telNr);\n dest.writeString(naam);\n dest.writeString(voornaam);\n }","title":""}],"string":"[\n {\n \"docid\": \"2b3c486c7781dfb721dba9dcc77a8f81\",\n \"score\": \"0.0\",\n \"text\": \"@Override\\n public void writeToParcel(Parcel dest, int flags) {\\n dest.writeString(emailadres);\\n dest.writeString(password);\\n dest.writeString(telNr);\\n dest.writeString(naam);\\n dest.writeString(voornaam);\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false},"negative_passages":{"kind":"list like","value":[{"docid":"c63ccb93d439636ca8e007621e0dcb03","score":"0.57342386","text":"public void starteVerarbeitung(String benName, String pw) {\n\t\tMain.debug.println(\"INVOKED (\"+this.hashCode()+\", T\"+this.getId()+\") \"+getClass()+\" (POP3Client), starteVerarbeitung(\"+benName+\",\"+pw+\")\");\n\t\tboolean erfolg = true;\n\n\t\tif (socket != null && socket.istVerbunden()) {\n\t\t\ttry {\n\t\t\t\terfolg = socket.empfangen().startsWith(\"+\");\n\t\t\t\tif (erfolg) erfolg = eingabeBenutzername(benName);\n\t\t\t\tif (erfolg) erfolg = eingabePasswort(pw);\n\t\t\t\tif (erfolg) erfolg = alleEmailsAbrufen();\n\t\t\t\tsitzungBeenden();\n\t\t\t}\n\t\t\tcatch (Exception e) {\n\t\t\t\te.printStackTrace(Main.debug);\n\t\t\t\tanwendung.benachrichtigeBeobachter(e);\n\t\t\t}\n\n\t\t\tanwendung.benachrichtigeBeobachter();\n\t\t}\n\t}","title":""},{"docid":"a4066bdf6b7c02a5063a685c97e76080","score":"0.57039404","text":"@Override\n\tpublic void invitaPersoane() {\n\t\tSystem.out.println(\"L-a masa \"+this.cod+\" au fost invitate persoanele\");\n\t}","title":""},{"docid":"6771cfd7d47c56b6a477c2ae2ae37a0c","score":"0.5660953","text":"public void PlantillasModoPrivilegiados (){}","title":""},{"docid":"d6e38ae71563b52bc79edf3e0c7f63a2","score":"0.5659079","text":"private void jButton1MouseClicked(MouseEvent evt)\n {\n String nome = this.jTextField1.getText();\n String morada = this.jTextField2.getText();\n String mail = this.jTextField3.getText();\n String telefone = this.jTextField5.getText();\n int dia = this.jTextField7.getText().isEmpty() ? 0: Integer.parseInt(this.jTextField7.getText());\n int mes = this.jTextField9.getText().isEmpty() ? 0: Integer.parseInt(this.jTextField9.getText());\n int ano = this.jTextField10.getText().isEmpty() ? 0: Integer.parseInt(this.jTextField10.getText());\n String password = new String(this.jPasswordField1.getPassword());\n String confirmacao = new String(this.jPasswordField2.getPassword());\n \n if( !nome.isEmpty() && !morada.isEmpty() && !mail.isEmpty() && !telefone.isEmpty() )\n {\n if ( dia>0&&dia<32 &&mes>0&&mes<13 &&ano>0&&ano<2013)\n {\n if(password.equals(confirmacao))\n {\n String data = Integer.toString(dia) + \"-\" + Integer.toString(mes) + \"-\" + Integer.toString(ano);\n\n if(jCheckBox1.isSelected())\n {\n ((Administrador)this.biblioteca.getUtilizadorActual()).criaAluno(nome,morada,telefone,mail,data, password);\n JOptionPane.showMessageDialog(this,\"Dados Inseridos Com Sucesso!\", \"Sucesso!\", JOptionPane.INFORMATION_MESSAGE);\n this.setVisible(false);\n }\n else if(jCheckBox2.isSelected())\n {\n ((Administrador)this.biblioteca.getUtilizadorActual()).criaProfessor(nome, morada, telefone, mail, data, password);\n JOptionPane.showMessageDialog(this,\"Dados Inseridos Com Sucesso!\", \"Sucesso!\", JOptionPane.INFORMATION_MESSAGE);\n this.setVisible(false);\n }\n else\n JOptionPane.showMessageDialog(this,\"Escolher Categoria de Leitor\", \"Erro\", JOptionPane.INFORMATION_MESSAGE);\n }\n else\n JOptionPane.showMessageDialog(this,\"Passwords Não Correspondem\", \"Erro\",JOptionPane.ERROR_MESSAGE);\n }\n else\n JOptionPane.showMessageDialog(this,\"Data Inválida\",\"Erro\",JOptionPane.ERROR_MESSAGE);\n }\n else\n JOptionPane.showMessageDialog(this,\"Dados Incompletos\",\"Erro\",JOptionPane.ERROR_MESSAGE);\n }","title":""},{"docid":"279b4053c6181d1c8d449b5917c8afc2","score":"0.5604029","text":"private void caerEnParking() {\n\n // Se añaden a la fortuna del jugador los impuestos recaudados\n final Parking parking = (Parking) getTablero().getCasillas().get(Constantes.POSICION_PARKING / 10).get(\n Constantes.POSICION_PARKING % 10);\n\n parking.ejecutarAccion(getJugador());\n }","title":""},{"docid":"334e5069865315546841f70e6480aacb","score":"0.55963796","text":"@Override\n public void asegurarPuertas() {\n }","title":""},{"docid":"cd9fcc9a8537cd1d7dffdaf73e25c80b","score":"0.5572647","text":"@FXML\n\tpublic void maakGebruiker(ActionEvent event) {\n\t\ttry {\n\t\t\tif (this.txtBarcode\t.getText()\n\t\t\t\t\t\t\t\t.equals(\"\")\n\t\t\t\t|| !this.txtBarcode\t.getText()\n\t\t\t\t\t\t\t\t\t.matches(\"[0-9]*\")) {\n\t\t\t\tthrow new IllegalArgumentException(\"barcode mag enkel cijfers zijn\");\n\t\t\t}\n\t\t\tGebruikerDTO dto = new GebruikerDTO(this.txtGebruikersnaam.getText(),\n\t\t\t\t\t\t\t\t\t\t\t\tthis.cbType.getValue(),\n\t\t\t\t\t\t\t\t\t\t\t\tnull,\n\t\t\t\t\t\t\t\t\t\t\t\tLong.parseLong(this.txtBarcode.getText()),\n\t\t\t\t\t\t\t\t\t\t\t\tthis.txtEmail.getText(),\n\t\t\t\t\t\t\t\t\t\t\t\tthis.txtNaam.getText(),\n\t\t\t\t\t\t\t\t\t\t\t\tnew GebruikerState(null, this.cbStatus.getValue()));\n\t\t\tif (isWijzigingsFormulier) {\n\t\t\t\tthis.dc.wijzigGebruiker(dto);\n\t\t\t} else {\n\t\t\t\tthis.dc.maakGebruikerAan(dto);\n\t\t\t}\n\n\t\t\tStage window = (Stage) ((Node) event.getSource())\t.getScene()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.getWindow();\n\t\t\twindow.close();\n\n\t\t} catch (Exception e) {\n\t\t\tthis.lblError.setText(e.getMessage());\n\t\t}\n\t}","title":""},{"docid":"4429dd8ff33623f6f352bb3bdce5fdcf","score":"0.5572265","text":"public String modifier() {\n\t\t\n\t\tFacesContext context = FacesContext.getCurrentInstance();\n\t\t\n\t\t//si la confirmation est valide, modifier la mote de pass avec un message de succès\n\t\tif(LoginUser.getPass().equals(passConf)) {\n\t\t\tString name= LoginUser.getLogin();\n\t\t\tString pass = LoginUser.getPass();\n\t\t\tUsers user = serviceusers.findByName(name);\n\t\t\t\n\t\t\tuser.setPass(pass);\n\t\t\t\n\t\t\tserviceusers.update(user);\n\t\t\t\n\t\t\tSystem.out.println(user);\n\t\t\t\n\t\t\tcontext.addMessage(null, new FacesMessage(FacesMessage.SEVERITY_INFO, \"Modifer\", \"Modifer avec succeè\") );\n\n\t\t\treturn \"index\";\n\t\t}\n\t\t//sinon, afficher un message d'erreur\n\t\telse {\n\t\t\tcontext.addMessage(null, new FacesMessage(FacesMessage.SEVERITY_WARN, \"Opss!\", \"Confirmer votre mot de passe\") );\n\t\t\treturn \"editInfo\";\n\t\t}\n\t}","title":""},{"docid":"953f091ca181780a64938eb2f0b553cf","score":"0.5555531","text":"protected Gebruiker(Parcel in) {\n emailadres = in.readString();\n password = in.readString();\n telNr = in.readString();\n naam = in.readString();\n voornaam = in.readString();\n }","title":""},{"docid":"10b2d51e6d51d59015c03b44668a6652","score":"0.55285025","text":"private void jButton1ActionPerformed(java.awt.event.ActionEvent evt) {\n String nama = NamaTextField.getText();\n String ID = IDTextField.getText();\n String TTL = TTLTextFIeld.getText();\n String alamat = AlamatTextField.getText();\n String password = PassField.getText();\n String repass = rePassField.getText();\n \n if(nama.equals(\"\") || ID.equals(\"\") || alamat.equals(\"\") || password.equals(\"\") || repass.equals(\"\")){\n JOptionPane.showMessageDialog(this, \"Masukkan data secara lengkap\", \"Warning\", JOptionPane.WARNING_MESSAGE);\n return;\n }else if(!password.equals(repass)){\n JOptionPane.showMessageDialog(this, \"Password anda tidak cocok\", \"Warning\", JOptionPane.WARNING_MESSAGE);\n return;\n }\n \n for (int i = 0; i < data.getAkunList().size(); i++) {\n if(data.getAkunList().get(i).getID().equals(ID)){\n JOptionPane.showMessageDialog(this, \"Akun anda telah terdaftar\", \"Warning\", JOptionPane.WARNING_MESSAGE);\n return;\n }\n }\n password = enkripsi(password, password.substring(0,3));\n String x = nama+\"-\"+TTL+\"-\"+alamat+\"-\"+ID+\"-\"+password;\n data.getAkunList().add(new Akun(nama, TTL, alamat, ID, password));\n \n data.simpanRegister(x);\n data.getAkunList().clear();\n JOptionPane.showMessageDialog(this, \"Register berhasil\", \"Information\", JOptionPane.INFORMATION_MESSAGE);\n \n \n this.dispose();\n Login lgn = new Login();\n lgn.setVisible(true);\n \n }","title":""},{"docid":"b98855e1042e287d826fca98caa12367","score":"0.55189466","text":"public void accessoPrimoOSuccessivo() {\r\n\t\tif (!(dbInterface.verifyFirstAccess())) { // non è il primo accesso\r\n\r\n\t\t\tloginWindow.setVisible(true);\r\n\r\n\t\t\t// posizionamento della finestra LOGIN al centro dellaDESKTOPWINDOW\r\n\t\t\tloginWindow\r\n\t\t\t\t\t.setLocation((desktopPane.getSize().width - loginWindow\r\n\t\t\t\t\t\t\t.getSize().width) / 2,\r\n\t\t\t\t\t\t\t(desktopPane.getSize().height - loginWindow\r\n\t\t\t\t\t\t\t\t\t.getSize().height) / 2);\r\n\t\t} else { // è il primo accesso\r\n\r\n\t\t\t//settiamo il modello ad una sorta di SUPERUSER che governa il primo accesso\r\n\t\t\tactiveUser.setLevel(\"SueprUser - FirstAccess\");\r\n\t\t\tactiveUser.setNickName(\"SuperUser - FirstAccess\");\r\n\t\t\t\r\n\t\t\titemLogin.setEnabled(false);\r\n\r\n\t\t\tfirstEnterWindow.setVisible(true);\r\n\t\t\tfirstEnterWindow\r\n\t\t\t\t\t.setLocation(\r\n\t\t\t\t\t\t\t(desktopPane.getSize().width - firstEnterWindow\r\n\t\t\t\t\t\t\t\t\t.getSize().width) / 2, (desktopPane\r\n\t\t\t\t\t\t\t\t\t.getSize().height - firstEnterWindow\r\n\t\t\t\t\t\t\t\t\t.getSize().height) / 2);\r\n\r\n\t\t}\r\n\r\n\t}","title":""},{"docid":"29fd7fb34b840b90e72b46d5f40961bd","score":"0.55149615","text":"public ModificarPersona() {\n initComponents();\n llenarpais();\n LlenarIdentificacion(); \n }","title":""},{"docid":"908ba485166ee73ac28537d3d4e2d6bd","score":"0.5503208","text":"private void clave() {\n clave = firmar(this.alumno.getId());\n this.lClave.setText(\"Clave: \" + this.clave);\n }","title":""},{"docid":"028db9cb2c8a0fbf218feb9efd050c42","score":"0.5496296","text":"private void ordenarPoblacion() {\n\n\t\tordenarBurbuja(aptitud_individuo, weight);\n\t}","title":""},{"docid":"efd37bc81db54c9392c170cdb721c8a9","score":"0.5449201","text":"private void verificarLlave() {\n String llave = \"m/4467?]K5?b}A)j=Kt\";\n \n if (llave.equals(jPasswordField1.getText())) {\n RegistroMedico regMedico = new RegistroMedico();\n regMedico.setVisible(true);\n this.dispose();\n } else {\n JOptionPane.showMessageDialog(null, \"Ingrese la llave correcta.\");\n }\n\n }","title":""},{"docid":"2d7e2f343f926b793decf1088bea49c6","score":"0.5431969","text":"public void listaPonderable() {\n // se llenan las listas de ponderables y no ponderables \n this.setListasPyN();\n Utilidades.redireccionar(\"/AdmisionesApp/faces/Vistas/GestionarPonderables/listaProgramasPonderables.xhtml\");\n }","title":""},{"docid":"ffdca0670fdbc4b0bf56a6dee62f326c","score":"0.53922737","text":"public void login(String username, String password){\n Beheerder beheerder = new Beheerder();\n try {\n connectToDB();\n String query = (\"SELECT * FROM gebruiker WHERE isactief = true and email = '\"+ username +\n \"' and wachtwoord = '\" + password + \"'\");\n resultSet = statement.executeQuery(query);\n\n int count = 0;\n while(resultSet.next()){\n beheerder.setId(resultSet.getInt(\"id\"));\n beheerder.setVoornaam(resultSet.getString(\"voornaam\"));\n beheerder.setAchternaam(resultSet.getString(\"achternaam\"));\n beheerder.setAdres(resultSet.getString(\"adres\"));\n beheerder.setPostcode(resultSet.getString(\"postcode\"));\n beheerder.setWoonplaats(resultSet.getString(\"woonplaats\"));\n beheerder.setTelefoon(resultSet.getString(\"telefoon\"));\n beheerder.setEmail(resultSet.getString(\"email\"));\n beheerder.setWachtwoord(resultSet.getString(\"wachtwoord\"));\n beheerder.setRechten_id(resultSet.getInt(\"rechten_id\"));\n beheerder.setActief(resultSet.getBoolean(\"isactief\"));\n count +=1;\n }\n if(count == 1){\n loginController.setBeheerder(beheerder);\n loginController.openHoofdView();\n }\n else {\n loginController.errorMessage.setVisible(true);\n }\n\n } catch (SQLException e) {\n e.printStackTrace();\n }\n closeConnection();\n }","title":""},{"docid":"84f8710195815434dac1f016eb48637a","score":"0.5383608","text":"@Override//metodo sobre escrito\r\n public void recibirpago() {//metodo sobrescrito donde el empleado recibe el pago\r\n System.out.println(\"Aqui el Administrador debe de implementar el metodo de recibir su pago\");//mensaje donde se ve ejecutada accion de recibir pago\r\n }","title":""},{"docid":"a3e9bfdedc455fa0adf87c2ee5345870","score":"0.5358062","text":"@Command\n\tpublic void registrarProveedor(){\n\t\tinsertComponent(principal.getPage(), \"#mainInclude\", BasePackagePortal+\"formularioProveedor.zul\");\n\t}","title":""},{"docid":"797dc028eaf57e9eeb0adf0999b4dea5","score":"0.5356897","text":"public void officerLogin(Officer officer) {\n SharedPreferences sharedPreferences = mCtx.getSharedPreferences(SHARED_PREF_NAME, Context.MODE_PRIVATE);\n SharedPreferences.Editor editor = sharedPreferences.edit();\n editor.putInt(KEY_ID, officer.getId());\n editor.putString(KEY_EMAIL, officer.getEmail());\n editor.putString(KEY_NAME, officer.getName());\n editor.putString(KEY_NATIONAL_ID, officer.getNational_id());\n editor.putString(KEY_ROLE, officer.getRole());\n editor.putString(KEY_TEL, officer.getTel());\n editor.apply();\n }","title":""},{"docid":"6e2b051d2ae663b80f2b7ab7eb409022","score":"0.53555566","text":"private void comformIt() {\n\t\tEditor confirmEdit = pref.edit();\n\t\tconfirmEdit.putString(\"SecureIt_PIN_Created\", \"true\");\n\t\tconfirmEdit.commit();\n\t\tIntent ourIntent = new Intent(getApplicationContext(), MainModule.class);\n\t\tstartActivity(ourIntent);\n\t}","title":""},{"docid":"59e5310ca700d516a8cd9913d4141614","score":"0.53505516","text":"@Override\n\tpublic void visualizzaColoreCorrente()\n\t{\n\t\tthis.informaUser.setColore(this.getColoreGiocatoreCorrente());\n\n\t}","title":""},{"docid":"5464447b1170ddf7310d4bd851ade5e3","score":"0.53490096","text":"public void canviarPermisos(ActionEvent event) {\n String id = \"\";\n boolean accs = true;\n\n try {\n TablePosition pos = (TablePosition) TbVUsers.getSelectionModel().getSelectedCells().get(0);\n int index = pos.getRow();\n String selected = TbVUsers.getItems().get(index).toString();\n id = selected.substring(1, selected.indexOf(\",\"));\n } catch (Exception e) {\n System.out.println(\"Error: \" + e.getMessage());\n accs = false;\n }\n\n if (accs) {\n try {\n FXMLLoader loader = new FXMLLoader(getClass().getResource(\"../Scenes/PermisionsChangeScene.fxml\"));\n Parent root = loader.load();\n Stage secondStage = new Stage();\n secondStage.setScene(new Scene(root, 560, 276));\n secondStage.show();\n ControllerPermisos controller = loader.getController();\n controller.init(connection, bdAccessor, id);\n secondStage.setOnCloseRequest(new EventHandler<WindowEvent>() {\n @Override\n public void handle(WindowEvent we) {\n System.out.println(\"S'ha tancat Modificar permsoss\");\n initiailizeTableViewUsers();\n }\n });\n } catch (IOException ex) {\n System.out.println(\"Error: \" + ex.getMessage());\n }\n }\n }","title":""},{"docid":"20c1ca50ffaea98685a1cc06a1bc1429","score":"0.5342272","text":"private void ecrireDisponibiliteEtudiant() {\n\n utilitaireCellule.ecrireChaine(new CoordonneesCelulle(\"C\", 5), \"Disponibilite / etudiant\", new StyleCellule());\n\n ArrayList<Periode> maListe = maquetteComplete.getPlanning().getPeriodeListe();\n\n CoordonneesCelulle coinSuperieur = new CoordonneesCelulle(\"J\", 5);\n CoordonneesCelulle coinInferieur = new CoordonneesCelulle(coinSuperieur.getX() + PAS, coinSuperieur.getY() + 1);\n String formule;\n\n for (Periode actuelle : maListe) {\n\n if (!actuelle.getVacance()) {\n formule = coinSuperieur.getxEnChaine() + (coinSuperieur.getY() + 2) + \"*\" + 2;\n utilitairePlageCellule.ecrireFormuleDonnantNombre(coinSuperieur, coinInferieur, formule, new StyleCellule());\n }\n coinSuperieur.setX(coinInferieur.getX() + 2);\n coinInferieur.setX(coinSuperieur.getX() + PAS);\n\n for (int jcpt = 0; jcpt < actuelle.getNombreSemaineScolaire() - 1; jcpt++) {\n if (!actuelle.getVacance()) {\n formule = coinSuperieur.getxEnChaine() + (coinSuperieur.getY() + 2) + \"*\" + 2;\n utilitairePlageCellule.ecrireFormuleDonnantNombre(coinSuperieur, coinInferieur, formule, new StyleCellule());\n\n }\n coinSuperieur.setX(coinInferieur.getX() + 2);\n coinInferieur.setX(coinSuperieur.getX() + PAS);\n }\n\n }\n }","title":""},{"docid":"2f54e621756bfe6048e5a44de4b3b6c2","score":"0.5333624","text":"public void setEraikinekoPertsonKop() {\r\n\t\tint kop = 0;\r\n\t\ttry {\r\n\t\t\tkop = urrunekoKud.getEraikinekoPertsonKop();\r\n\t\t} catch (RemoteException e) {\r\n\t\t\tnew MezuLeiho(\"REMOTE\");\r\n\t\t\te.printStackTrace();\r\n\t\t} catch (IllegalStateException e) {\r\n\t\t\tnew MezuLeiho(\"DB\");\r\n\t\t\te.printStackTrace();\r\n\t\t} catch (SQLException e) {\r\n\t\t\tnew MezuLeiho(\"SQL\",\r\n\t\t\t\t\t\"Ezin da jakin zenbat pertsona dauden eraikinean\");\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tjLabel.setText(\"Eraikinean dauden pertsonen kopurua: \" + kop);\r\n\t}","title":""},{"docid":"78b32187531118a774ee234c864f5a50","score":"0.5330276","text":"public VueAccueilCommercial(User p) {\n this.personne = p;\n \n // dimensions de la vue\n this.setPreferredSize(new Dimension(500, 500));\n \n // ajout des componsants\n initComponents();\n \n // on remplace le texte sur label en ajoutant le nom et prénom du commercial\n labelBienvenue.setText(\"Bienvenue \" + this.personne.getPrenom() + \" \" + this.personne.getNom());\n \n // ajout des listener\n labelDeco.addMouseListener(new Ecouteur());\n labelChangeMdp.addMouseListener(new Ecouteur());\n }","title":""},{"docid":"2044bee4a66ef2fe7781e90d32307c8f","score":"0.53274345","text":"public void recogerPasajero() {\n if (this.isEnMarcha() == false && this.isSegurosActivados() == false && this.getnPasajeros() == 0) {\n this.setnPasajeros(1); //Se escribe el numero de pasajeros a 1, pues se considera solo 1 persona por cada viaje (Asi viajen 5 personas, solo se considera 1).\n }\n\n }","title":""},{"docid":"639ee7178740123309b43a936c4700e9","score":"0.53181523","text":"private void invitar(){\n //Actualiza lista de invitados\n fm.CrearGestorVisitante();\n //Comprueba si algun campo esta vacio\n if(this.txtDni.getText().equals(\"\") || this.txtSurname.getText().equals(\"\") || this.txtName.getText().equals(\"\")){\n this.lblAdv.setText(\"Uno de los campos esta vacio\");\n return;\n }\n //Comprueba si el DNI es valido\n if(this.txtDni.getText().length()!=8){\n //Dni no es valido\n this.lblAdv.setText(\"DNI ingresado no es valido\");\n return;\n }\n //Comprueba si hay algun invitado esperado de mismo DNI del mismo propietario\n for (Visitante v:fm.getGestorVisitante().getVisitantesEsperadosEntrada()){\n //Conseguir el objeto Propietario del Visitante\n Propietario prop = null;\n for(Propietario p :fm.getGestorPropietario().getPropietarios()){\n if(p.getIdPropietario() == v.getIdProp()){\n prop = p;\n }\n }\n if(v.getDNI().equals(this.txtDni.getText()) && prop.getIdPropietario() == this.propietario.getIdPropietario()){\n System.out.println(\"Este Propietario ya invito a este visitante\");\n this.lblAdv.setText(\"Visitante ya invitado\");\n return;\n }\n }\n /*\n //Comprueba si hay algun invitado dentro del barrio (Esperados Salida) de mismo DNI\n for(Visitante v:fm.getGestorVisitante().getVisitantesEsperadosSalida()){\n if(v.getDNI().equals(this.txtDni.getText())){\n System.out.println(\"Este invitado ya esta adentro del barrio o no ha documentado su salida\");\n return;\n }\n }\n */\n //Crea Invitado\n int idVisitante = fm.getUltimoIdVisitante() + 1;\n Visitante visi = new Visitante(idVisitante,this.propietario,this.txtName.getText(),this.txtSurname.getText(),this.txtDni.getText());\n fm.getGestorVisitante().addVisitanteEsperadoEntrada(visi);\n //Guarda Cambios\n fm.guardarObjeto(\"gestorVisitantes\");\n System.out.println(\"Nuevo invitado: \" + visi);\n //Borra texto\n this.txtDni.setText(\"\");\n this.txtName.setText(\"\");\n this.txtSurname.setText(\"\");\n //Esconde ventana y pasa a la siguiente\n this.setVisible(false);\n InvitadoExitoso invitadoExitoso = new InvitadoExitoso(visi,this);\n invitadoExitoso.show();\n \n }","title":""},{"docid":"f620c1db1da58b44f31126a21df87a8c","score":"0.53161436","text":"public void clicSurBoutonGauche()\n// le clic dans la ZML exécutera le code de clic de ce bouton\n// A Faire : Ajoutez le code sur le clic de ce bouton\n// Info(\"clic sur \"+MoiMême..Nom)\n{\nsuper.clicSurBoutonGauche();\n\n// ouvre(FEN_Login)\nWDAPIFenetre.ouvre(GWDPGruppeto.getInstance().mWD_FEN_Login);\n\n}","title":""},{"docid":"6262b8a8dd5b2040a8a79d5b3993d0dc","score":"0.5313865","text":"public cruces_activos_amenazas() {\n// int id_Activo1 = id_Activo;\n initComponents();\n this.setLocationRelativeTo(null);\n llenartabla_amenaza();\n guardar_cruces();\n \n// llenar_amenaza(); \n }","title":""},{"docid":"124c9cde2efca65792166c3869990b77","score":"0.5310619","text":"public FromKhach() {\n initComponents();\n this.setLocationRelativeTo(null);\n thisUser.Guest=true;\n }","title":""},{"docid":"0fffb7a6ebee22078a0fea0634fb6639","score":"0.53025407","text":"@Override\n\tpublic void Procesador() {\n\t\tSystem.out.println(\"El ordenador tiene procesador\");\n\t\t\n\t}","title":""},{"docid":"3d9337cb016b86fa68ddbeade6d17f13","score":"0.5298083","text":"private void ecrireCreneauUtilise() {\n\n CoordonneesCelulle partieStatique = new CoordonneesCelulle(\"C\", 7);\n utilitaireCellule.ecrireChaine(partieStatique, \"Crenaux Utilises\", new StyleCellule());\n String formule;\n\n ArrayList<Periode> maListe = maquetteComplete.getPlanning().getPeriodeListe();\n\n CoordonneesCelulle coinSuperieur = new CoordonneesCelulle(\"J\", 7);\n CoordonneesCelulle coinInferieur = new CoordonneesCelulle(coinSuperieur.getX() + PAS, coinSuperieur.getY() + 1);\n CoordonneesCelulle curseurFormule = new CoordonneesCelulle(\"J\", 10);\n\n for (Periode actuelle : maListe) {\n if (!actuelle.getVacance()) {\n formule = \"ROUNDUP(\" + curseurFormule.getxEnChaine() + \"\" + (curseurFormule.getY() + 1) + \"/\" + maquetteComplete.getDureCreneau() + \",0)+\";\n curseurFormule.setX(curseurFormule.getX() + 2);\n formule += \"ROUNDUP(\" + curseurFormule.getxEnChaine() + \"\" + (curseurFormule.getY() + 1) + \"/\" + maquetteComplete.getDureCreneau() + \",0)+\";\n curseurFormule.setX(curseurFormule.getX() + 2);\n formule += \"ROUNDUP(\" + curseurFormule.getxEnChaine() + \"\" + (curseurFormule.getY() + 1) + \"/\" + maquetteComplete.getDureCreneau() + \",0)\";\n utilitairePlageCellule.ecrireFormuleDonnantNombre(coinSuperieur, coinInferieur, formule, new StyleCellule());\n curseurFormule.setX(curseurFormule.getX() + 2);\n } else {\n curseurFormule.setX(curseurFormule.getX() + PAS+1);\n }\n coinSuperieur.setX(coinInferieur.getX() + 2);\n coinInferieur.setX(coinSuperieur.getX() + PAS);\n\n for (int jcpt = 0; jcpt < actuelle.getNombreSemaineScolaire() - 1; jcpt++) {\n if (!actuelle.getVacance()) {\n formule = \"ROUNDUP(\" + curseurFormule.getxEnChaine() + \"\" + (curseurFormule.getY() + 1) + \"/\" + maquetteComplete.getDureCreneau() + \",0)+\";\n curseurFormule.setX(curseurFormule.getX() + 2);\n formule += \"ROUNDUP(\" + curseurFormule.getxEnChaine() + \"\" + (curseurFormule.getY() + 1) + \"/\" + maquetteComplete.getDureCreneau() + \",0)+\";\n curseurFormule.setX(curseurFormule.getX() + 2);\n formule += \"ROUNDUP(\" + curseurFormule.getxEnChaine() + \"\" + (curseurFormule.getY() + 1) + \"/\" + maquetteComplete.getDureCreneau() + \",0)\";\n curseurFormule.setX(curseurFormule.getX() + 2);\n utilitairePlageCellule.ecrireFormuleDonnantNombre(coinSuperieur, coinInferieur, formule, new StyleCellule());\n } else {\n curseurFormule.setX(curseurFormule.getX() + PAS+1);\n }\n coinSuperieur.setX(coinInferieur.getX() + 2);\n coinInferieur.setX(coinSuperieur.getX() + PAS);\n\n }\n\n }\n }","title":""},{"docid":"4904a4691523f8081e4f6733718cf06d","score":"0.5288668","text":"public void embarquement() {\r\n\t\tfor (int i=0; i<equipe.getListePersos().size(); i++) {\r\n\t\t\tgetPersoDansNavire().add(equipe.getListePersos().get(i));\r\n\t\t\tequipe.getListePersos().get(i).setX(this.x);\r\n\t\t\tequipe.getListePersos().get(i).setY(this.y);\r\n\t\t}\r\n\t}","title":""},{"docid":"9286c77258f8d7467e945aa6d168e8ef","score":"0.5277746","text":"public void syncWebloketMedewerkersRol() {\n \r\n log.info(\"start syncWebloketMedewerkersRol\");\r\n \r\n List<Map> medewerkersRollen = ovamcore_sqlSession.selectList(\"medewerkersrol_actief_alle\");\r\n \r\n if (medewerkersRollen.isEmpty()) {\r\n throw new RuntimeException(\"Geen wedewerkersRollen gevonden in ovamcore\");\r\n }\r\n \r\n sql.delete(\"delete_all_medewerkersrollen\");\r\n \r\n for (Map medewerkersRol : medewerkersRollen) {\r\n sql.insertInTable(\"art46\", \"webloket_medewerkersrol\", medewerkersRol);\r\n }\r\n }","title":""},{"docid":"e12a32a73178d71d8bc740d97980c6b2","score":"0.5273466","text":"public void listaPasajeros() {\n\t\t\r\n\t}","title":""},{"docid":"728c7b2c0b83ac691bde3e2abc944506","score":"0.5269039","text":"@Override\n\t\t\tpublic void mouseClicked(MouseEvent arg0) {\n\t\t \n\t\t\t\tJOptionPane.showMessageDialog(null,\"Aplikasi Kalkulator Sederhana \\n\"\n\t\t\t\t\t\t+ \" Dilengkapi Password, buatan Rian Irawan Hariadi (www.rianhariadi.com)\");\n\t\t\t}","title":""},{"docid":"0960dd88d645722f47a2e16d6607440c","score":"0.52648604","text":"public void PlantillasModoNoPrivilegiados(){}","title":""},{"docid":"79ddd10042622ba64a8f85d039e0c9c7","score":"0.5264214","text":"public void NuevoPlantillasModoPrivilegiado(){}","title":""},{"docid":"38eaba2a495ffda21fd10850e73e7d58","score":"0.52624327","text":"@Override\r\n\tpublic void identificarse() {\n\t\tSystem.out.println(String.format(\"%d: %s, %s\", codigoEmpleado, this.getApellido(), this.getNombre()));\r\n\t}","title":""},{"docid":"d696b1b051eb907c421d7a2f465f1a30","score":"0.5251854","text":"public void comerPika()\n //ESTE METODO HACE QUE SE COMA A PIKACHU\n {\n Actor pika= getOneObjectAtOffset(0, 0, pikachu.class);\n //INICIALIZACION DE CONEXION CON EL MUNDO\n World mundo= getWorld();\n if(pika!=null)\n /**\n CONDICION:\n SI ESTA TOCANDO A PIKACHU\n ACCION:\n ACTUALICE EL PUNTAJE, SUME EL CONTADOR DE PIKACHUS Y ELIMINE\n A ESE PIKACHU\n */\n {\n Nivel1 nv = (Nivel1)getWorld();\n nv.actualizarPuntaje();\n getWorld().removeObject(pika);\n contadorPikas++;\n }\n }","title":""},{"docid":"f82147e65346c59b7a7ae9bd325d030c","score":"0.5249238","text":"private void riempimentoForm() {\n\t\tSharedPreferences pref = getSharedPreferences(\"CARPOOLING\", MODE_PRIVATE);\n\t\tString user = pref.getString(\"username\", \"-1\");\n\t\tString pass = pref.getString(\"password\", \"-1\");\n\t\tint check = pref.getInt(\"checked\", -1);\n\t\tif(check==0)\n\t\t\tricordami.setChecked(false);\n\t\tif(check==1)\n\t\t\tricordami.setChecked(true);\n\t\tif(!user.equalsIgnoreCase(\"-1\") || !pass.equalsIgnoreCase(\"-1\")){\n\t\t\tusername.setText(user);\n\t\t\tpassword.setText(pass);\n\t\t}\n\t}","title":""},{"docid":"05dbb1965cacf069df23ab1c5aeaeafb","score":"0.5244992","text":"public Login() {\n initComponents();\n \n role.add(rdDriver);\n role.add(rdStaffKantor);\n \n rdStaffKantor.setSelected(true);\n this.setResizable(false);\n }","title":""},{"docid":"20673ab42713d3abb42a7ebed1f32fc2","score":"0.5244819","text":"public void registrarJugador(){\r\n contPrin.crearControladorRegistro(visNuePar);\r\n contPrin.getContReg().mostrarVistaRegistro();\r\n }","title":""},{"docid":"c56eadc295a74f96adb01ffbb79e3df4","score":"0.52433825","text":"@Override\n public void run(){\n LugarBanco lB = new LugarBanco();\n lB.atualizarLugar(id_lugar, id_locatario, Principal.RESERVADO);\n \n // mas quer-se avisar a ele que foi confirmada\n lB = new LugarBanco();\n Lugar lugar = lB.getLugarWhere(id_lugar);\n \n // pode acontecer de o admin conseguir chamar a função checkout ou do usuário conseguir clicar duas vezes consecutivas muito rápido. resulta em NullPointerException se isso acontecer\n if(lugar.getLocatario() != null)\n enviarMensagem(controlador, lugar.getLocatario().getId(), \"Pedido de reserva\", \"Seu pedido de reserva foi confirmado.\");\n \n // atualiza\n getAgendamentos(controlador);\n }","title":""},{"docid":"37a0bada9194dc1b7103fad09787f7d9","score":"0.52387977","text":"private void AllowAccessToAccount(final String username, final String password) {\n\n if(chkBoxRememberMe.isChecked())\n {\n Paper.book().write(Prevalent.usernamekey, username);\n Paper.book().write(Prevalent.userpasswordkey, password);\n }\n\n // initialize database reference\n final DatabaseReference rootRef;\n rootRef = FirebaseDatabase.getInstance().getReference();\n\n rootRef.addListenerForSingleValueEvent(new ValueEventListener() {\n @Override\n public void onDataChange(@NonNull DataSnapshot dataSnapshot) {\n // user already registered?\n if (dataSnapshot.child(parentDbName).child(username).exists()) {\n // save user\n Users userData = dataSnapshot.child(parentDbName).child(username).getValue(Users.class);\n System.out.println(dataSnapshot.child(parentDbName).child(username).getValue(Users.class));\n\n // log attributes of user\n System.out.println(\"Username: \" + userData.getName());\n System.out.println(\"Password: \" + userData.getPassword());\n System.out.println(\"EMail: \" + userData.getEmail());\n System.out.println(\"City: \" + userData.getCity());\n System.out.println(\"Postcode: \" + userData.getPostcode());\n\n System.out.println(\"Username: \" + username);\n if (userData.getName().equals(username)) {\n System.out.println(\"Success!\");\n // entered pw equals pw in database\n if (userData.getPassword().equals(password)) {\n Toast.makeText(LoginActivity.this, \"Logged in successfully\", Toast.LENGTH_SHORT).show();\n\n loadingBar.dismiss();\n\n Intent intent = new Intent(LoginActivity.this, MainChooseActivity.class);\n\n System.out.println(Prevalent.currentUser);\n Prevalent.currentUser = userData;\n System.out.println(Prevalent.currentUser.getName());\n\n startActivity(intent);\n } else {\n Toast.makeText(LoginActivity.this, \"Your password is wrong, please try again\", Toast.LENGTH_SHORT).show();\n loadingBar.dismiss();\n }\n }\n\n } else {\n // username doesn't exist\n Toast.makeText(LoginActivity.this, \"An account with this \" + username + \" doesn't exist\", Toast.LENGTH_SHORT).show();\n loadingBar.dismiss();\n }\n\n }\n\n @Override\n public void onCancelled(@NonNull DatabaseError databaseError) {\n\n }\n });\n }","title":""},{"docid":"e8cc3b2ba4d3bcb54a0f00121060a0d3","score":"0.52368766","text":"public ClRiesClien(EntornoUsuario eu, Principal p)\n {\n EU = eu;\n vl = p.panel1;\n jf = p;\n eje = true;\n\n setTitulo(\"Cons./List. Documentos Pend. Cobro Clientes\");\n\n try\n {\n if (jf.gestor.apuntar(this))\n jbInit();\n else\n setErrorInit(true);\n }\n catch (Exception e)\n {\n ErrorInit(e);\n }\n }","title":""},{"docid":"c5b4128498fa1e98296efc4dd0837cc4","score":"0.5235398","text":"@Override public void notifica(){\n\tthis.realizarRecomendacion();\n\tthis.actualizaMesesClientes();\n\t//Para cada cliente, si puede hacer el cobro, lo realiza, si no, lo agrega a exclientes\n\tfor(Cliente cliente: this.clientesActivos){\n\t this.cobrar(cliente);\n\t System.out.println(cliente.persona.nombre + \" lleva usando memeflix por: \" + cliente.meses + \" meses\" );\n\t}\n\tfor(Cliente cliente: this.exClientes){\n\t if(this.clientesActivos.contains(cliente)) this.clientesActivos.remove(cliente);\n\t}\n }","title":""},{"docid":"8680fca8142ac412900bd392304d37e0","score":"0.5234576","text":"private void Login() {\n if (!jTextFieldEmail.getText().equals(\"\") && !jPasswordFieldPass.getText().equals(\"\")) {\n if (jComboBoxNameInventory.getItemCount() != 0) {\n if (new Validation().checkEmail(jTextFieldEmail.getText())) {\n if (new Validation().checkPass(jPasswordFieldPass.getText())) {\n Admin c = new Admin();\n if (c.LogIn(jTextFieldEmail.getText(), jPasswordFieldPass.getText())) {\n EnableComponant();\n jLabelSuccessOrFail.setText(\"Founded Admin ;)\");\n } else {\n jLabelSuccessOrFail.setText(\"Not Found Admin :(\");\n JOptionPane.showMessageDialog(null, \"Not Found Admin Try Again :(\");\n }\n\n } else {\n JOptionPane.showMessageDialog(null, \"Not valid Password length ,Should it Length\\nis more than 6 OR Password has (*,/,=,+,...)\\n Try Again :(\");\n }\n } else {\n JOptionPane.showMessageDialog(null, \"Not valid Email Try Again :(\");\n }\n\n } else {\n jLabelSuccessOrFail.setText(\"Not Exsit Inventory in System :(\");\n JOptionPane.showMessageDialog(null, \"Not Exsit Inventory in System Try Again :(\");\n }\n } else {\n jLabelSuccessOrFail.setText(\"Missing Required Fields ... ! Please, complete them before submit ...! :(\");\n }\n }","title":""},{"docid":"de369dbb50106ab0c1137ff5e3f3ab36","score":"0.52341264","text":"public void selectBeheerder(){\n String query = (\"SELECT * FROM gebruiker WHERE isactief = true ORDER BY id\");\n setBeheerderGegevens(query);\n }","title":""},{"docid":"8db665dfc23454dcfd2c646b6e6f952a","score":"0.52243847","text":"public void cambiarDePieza() {\n piezaActiva = bolsa.sacarPieza();\n puedeCambiar = true;\n Posicion posicionAux = new Posicion(20, 3);\n if (piezaActiva.puedeMoverse(posicionAux)) {\n piezaActiva.asignarPosicion(posicionAux);\n }\n\n }","title":""},{"docid":"57c033b4e248473d46eb9da523f1e961","score":"0.5219974","text":"private void verEntrada(JTable table) {\n int row = table.getSelectedRow();\n if (row >= 0) {\n \n Pan_VerEntradaSalida panelVerMovimientoEntradaSalida = \n new Pan_VerEntradaSalida(Pan_VerEntradaSalida.ENTRADA_CALL);\n \n //-----------------INTERFAZ----------------------\n JF_Inventario.getInstance().getPanelManager().showPanel(\n panelVerMovimientoEntradaSalida, 800, 471, 0, 0);\n JF_Inventario.getInstance().setEnableTabs(false);\n //-----------------------------------------------------\n \n Modelo_Facturacion model = (Modelo_Facturacion) table.getModel();\n panelVerMovimientoEntradaSalida.jLabel_NumerodeMovimiento.setText(model.getValueAt(row, 0).toString());\n panelVerMovimientoEntradaSalida.personalizarTablaVerMovimiento();\n } else {\n JOptionPane.showMessageDialog(\n null,\n \"No se selecciono ninguna entrada de mercaderia\",\n \"Alert!\", JOptionPane.ERROR_MESSAGE);\n }\n }","title":""},{"docid":"aec22aad335850b5411c882d41717bcb","score":"0.5219659","text":"public VentanaLogin() {\n initComponents();\n this.setLocationRelativeTo(null);\n setTitle(\"Legráfica - Gestión de Proyectos\");\n }","title":""},{"docid":"caaea58931563b5a25ebb405d210c66f","score":"0.52195656","text":"public void sauverClient() {\n\t\tlog.info(\"-----------------------------------------------------------\");\n\t\tlog.info(\"Entrée dans la méthode sauverClient()\");\n\t\tlog.info(\"-----------------------------------------------------------\");\n\t\tlog.info(\"clientCourant.getUtilisateurid() vaut : \" + clientCourant.getUtilisateurid());\n\t\t utilisateurDAO.sauver(clientCourant);\n\t\t FacesContext context = FacesContext.getCurrentInstance();\n\t\t context.addMessage(null, new FacesMessage(FacesMessage.SEVERITY_INFO, \"Succès -\", \"Opération effectuée avec succès !\"));\n\t}","title":""},{"docid":"81c5333c692ddb653e9897c6e6a7497a","score":"0.52055496","text":"public void ingresaAdministrativoCreditoVivienda() {\n\tEstableceDatosAdministrativos();\n\tint cambio=0;\n\tdo {\n\t\tdo {\n\t\t\ttry {\n\t\t\t\tsetTotalCredito(Long.parseLong(JOptionPane.showInputDialog(\"Ingrese el monto del credito (de �20 000 000 a �81 000 000 )\")));\n\t\t\t\tcambio=1;\n\t\t\t\tif(getTotalCredito()<20000000||getTotalCredito()>81000000) {\n\t\t\t\t\tJOptionPane.showMessageDialog(null, \"El monto debe ir de �20 000 000 a �81 000 000\");\n\t\t\t\t}\n\t\t\t\n\t\t} catch (Exception e) {\n\t\t\tJOptionPane.showMessageDialog(null, \"Ingrese solo numeros\");\n\t\t\tcambio=0;\n\t\t}\n\t} while (cambio==0);\n\t}while(getTotalCredito()<20000000||getTotalCredito()>81000000);\n\t\n\tsetInteres(16);\n\tdo {\n\t\tdo {\n\t\t\ttry {\n\t\t\t\tsetPlazo(Integer.parseInt(JOptionPane.showInputDialog(\"Ingresa el plazo (Debe estar entre 144 y 360 meses)\")));\n\t\t\t\tcambio=1;\n\t\t\t\tif(getPlazo()<144||getPlazo()>360) {\n\t\t\t\t\tJOptionPane.showMessageDialog(null, \"El plazo debe estar entre 144 y 360 meses\");\n\t\t\t\t}\n\t\t\t\n\t\t} catch (Exception e) {\n\t\t\tJOptionPane.showMessageDialog(null, \"Ingrese solo numeros\");\n\t\t\tcambio=0;\n\t\t}\n\t} while (cambio==0);\n\t}while(getPlazo()<144||getPlazo()>360);\n\tsetCuotaPagar(calculoCuotaVivienda());\n\testableceVivienda();\n}","title":""},{"docid":"5379a2ea8c763cf5db74d495c03d284d","score":"0.5190694","text":"@Override\n\t\tpublic void actionPerformed(ActionEvent e) {\n\t\t\tif((passwordTF.getText().equals(\"\")) || (nameTF.getText().equals(\"\")) || (birthDayTF.getText().equals(\"\")) || (addressTF.getText().equals(\"\")) || (emailTF.getText().equals(\"\"))){\n\t\t\t\tJOptionPane.showMessageDialog(null, \"빈칸을 채워주세요!!\");\n\t\t\t} else {\n\t\t\t\tMemberInformation changeMemberInformation = new MemberInformation();\n\t\t\t\tchangeMemberInformation = (MemberInformation) nowHash.get(nowId);\n\t\t\t\tchangeMemberInformation.setPassword(passwordTF.getText());\n\t\t\t\tchangeMemberInformation.setName(nameTF.getText());\n\t\t\t\tchangeMemberInformation.setBirthDay(birthDayTF.getText());\n\t\t\t\tchangeMemberInformation.setAddress(addressTF.getText());\n\t\t\t\tchangeMemberInformation.setEmail(emailTF.getText());\n\t\t\t\t\n\t\t\t\tnowHash.put(nowId, changeMemberInformation);\n\t\t\t\texcelArray.set(nowIndex, nowHash);\n\t\t\t\t\n\t\t\t\tUpdateExcel updateExcel = new UpdateExcel(excelArray);\n\t\t\t\tupdateExcel.update();\n\t\t\t\t\n\t\t\t\tJOptionPane.showMessageDialog(null, \"회원정보가 변경되었습니다.프로그램을 다시 시작해주세요\");\n\t\t\t\tSystem.exit(0);\n\t\t\t}\n\t\t}","title":""},{"docid":"a284af2d9588119018698412fd56fb38","score":"0.5188974","text":"public void login(TextField tfLogin, PasswordField pfPassword, Label lblInfo) {\n Optional<User> userOpt = loginUser(tfLogin.getText(), pfPassword.getText());\n if (userOpt.isPresent()) {\n if (userOpt.get().isStatus()) {\n try {\n // obiekt aktualnie zalogowanego uzytkownika\n loggedUser = userOpt.get();\n // -----------------------------------------\n lblInfo.setText(\"zalogowano\");\n WindowService windowService = new WindowService();\n // utworzenie okna Pizza Portal\n windowService.createWindow(\"pizzaPortalView\", \"Pizza Portal\");\n // zamkniecie aktualnego okna\n windowService.closeWindow(lblInfo);\n clearLoginProbes(userOpt.get());\n FileService.updateUsers();\n } catch (IOException e) {\n e.printStackTrace();\n }\n } else {\n lblInfo.setText(\"Twoje konto jest zablokowane\");\n }\n } else {\n// lblInfo.setText(\"błąd logowania\");\n decrementProbes(tfLogin.getText());\n lblInfo.setText(getLoginProbes(tfLogin.getText()));\n try {\n FileService.updateUsers();\n } catch (IOException e) {\n e.printStackTrace();\n }\n }\n }","title":""},{"docid":"e9ab4e32f1c26ede11e81bf4648e7678","score":"0.51887965","text":"public void limpiar() {\n String rols = menu.getRol();\n if (rols.equals(\"Director técnico\")) {\n guardar.setEnabled(false);\n modificar.setEnabled(false);\n } else if (rols.equals(\"Líder de calidad\")) {\n guardar.setEnabled(true);\n modificar.setEnabled(true);\n } else if (rols.equals(\"Analista\")) {\n guardar.setEnabled(false);\n modificar.setEnabled(false);\n } else {\n guardar.setEnabled(false);\n modificar.setEnabled(false);\n }\n ident = menu.getIdent();\n combo();\n grupo.clearSelection();\n numregist.enable(true);\n numreporte.enable(true);\n numregist.setText(\"\");\n empresa.setText(\"\");\n nitóCC.setText(\"\");\n solicitante.setText(\"\");\n cargo.setText(\"\");\n direccion.setText(\"\");\n telefono.setText(\"\");\n municipio.setText(\"\");\n email.setText(\"\");\n areaEv.setText(\"\");\n vereda.setText(\"\");\n codMuestr.setText(\"\");\n puntoMus.setText(\"\");\n horaRecolec.setText(\"\");\n tipoM.setText(\"\");\n volumM.setText(\"\");\n analis.setText(\"\");\n observacionMuestra.setText(\"\");\n responsable_toma.setText(\"\");\n mediorecepc.setText(\"\");\n horaRecepcion.setText(\"\");\n numMus.setText(\"\");\n preservacion.setText(\"\");\n descripcion.setText(\"\");\n obsAdicional.setText(\"\");\n totalMuestra.setText(\"\");\n numcustod.setText(\"\");\n numreferencia.setText(\"\");\n medioEn.setText(\"\");\n estadoCuen.setText(\"\");\n obs.setText(\"\");\n reciboRepor.setText(\"\");\n numreporte.setText(\"\");\n cargolabo.setText(\"\");\n recibio_Muest.setText(\"\");\n entrega_reporte.setText(\"\");\n \n }","title":""},{"docid":"62e927aa3cb058be78d0a4fc274624bf","score":"0.51851827","text":"public void buscaLogin() {\n //RequestContext context = RequestContext.getCurrentInstance();\n habilitado = 0;\n FacesMessage msg = null;\n //logeado = consumidor();\n List<Object[]> SisUsuariosLogin = sisusuarios.SisUsuariosLogin(usuario, contrasena);\n if (SisUsuariosLogin.size() > 0) {\n logeado = true;\n for (Object[] val : SisUsuariosLogin) {\n Role = (int) val[2];\n habilitado = (int) val[5];\n idUsuario = (int) val[6];\n }\n\n }\n\n msg = new FacesMessage(FacesMessage.SEVERITY_INFO, \"Bienvenido Al Sistema \\n\" + \"\\n\" + usuario, \"\");\n if (logeado) {\n logeado = true;\n\n } else {\n logeado = false;\n msg = new FacesMessage(FacesMessage.SEVERITY_WARN, \"Usuario ó Contraseña Incorrectas\", \" \");\n }\n FacesContext.getCurrentInstance().addMessage(null, msg);\n\n PrimeFaces.current().ajax().addCallbackParam(\"estaLogeado\", logeado);\n if (habilitado == 1 && logeado) {\n if (logeado) {\n FacesContext.getCurrentInstance().getExternalContext().getSessionMap().put(\"usuario\", usuario);\n FacesContext.getCurrentInstance().getExternalContext().getSessionMap().put(\"idUsuario\", idUsuario);\n\n Compilacion config = new Compilacion();\n config.getDirecCompile();\n GeneraMenus();\n if (Role == 1) {\n\n PrimeFaces.current().ajax().addCallbackParam(\"view\", config.getDirecCompile() + \"/TeleSisQCI/umg/indexPaciente.xhtml\");\n }\n if (Role == 2) {\n\n PrimeFaces.current().ajax().addCallbackParam(\"view\", config.getDirecCompile() + \"/TeleSisQCI/umg/indexDoctor.xhtml\");\n }\n setEstaLogueado(true);\n this.titulo = \" \";\n }\n }\n if (logeado && habilitado == 0) {\n msg = new FacesMessage(FacesMessage.SEVERITY_WARN, \"Usuario deshabilitado\", \" \");\n FacesContext.getCurrentInstance().addMessage(null, msg);\n }\n\n }","title":""},{"docid":"8d6a026eaadee101dbccb0dbd3816ffe","score":"0.518411","text":"@Override\r\n public void asignarPermisos() {\n }","title":""},{"docid":"d8162ab3d7972203678a47a9ce3f83a8","score":"0.5181766","text":"public void loginUser(MouseEvent mouseEvent) throws Exception{\n\n // Traverse through use\n for(User user : people){\n if(loginUsernameField.getText().equals(user.userName) && loginpPasswordField.getText().equals(user.password)) {\n loadMain(user);\n }\n else{\n loginPrompt.setVisible(true);\n }\n }\n\n\n }","title":""},{"docid":"fe87ce05a20bb1660c6a8a47161bf826","score":"0.51773053","text":"@Override\r\n public void salvarModificacao() {\n ((PessoaFisico) atual).setDocumento(new Integer(((AbsViewCadastroPessoa) cadastro).getjTextFieldDocumento().getText()));\r\n ((PessoaFisico) atual).setNome(((AbsViewCadastroPessoa) cadastro).getjTextFieldNome().getText());\r\n //pessoa.setRazaoSocial(this.jTextFieldRazaoSocial.getText());\r\n ((PessoaFisico) atual).setTelefone(new Integer(((AbsViewCadastroPessoa) cadastro).getjTextFieldTelefone().getText()));\r\n\r\n ((PessoaFisico) atual).getEndereco().setBairro(((AbsViewCadastroPessoa) cadastro).getjTextFieldBairro().getText());\r\n ((PessoaFisico) atual).getEndereco().setCep(new Integer(((AbsViewCadastroPessoa) cadastro).getjTextFieldCEP().getText()));\r\n ((PessoaFisico) atual).getEndereco().setCidade(((AbsViewCadastroPessoa) cadastro).getjTextFieldCidade().getText());\r\n ((PessoaFisico) atual).getEndereco().setNum(new Integer(((AbsViewCadastroPessoa) cadastro).getjTextFieldNumero().getText()));\r\n ((PessoaFisico) atual).getEndereco().setRua(((AbsViewCadastroPessoa) cadastro).getjTextFieldRua().getText());\r\n\r\n //((MainView) MainView.getFrames()[0]).clientes.add(new PessoaFisico(cpf, id, nome, new Endereco(rua, num, bairro, cidade, cep), tel));\r\n cadastro.setVisible(false);\r\n }","title":""},{"docid":"1d3eed82d9f7fcce7c61e97d5030147e","score":"0.5175695","text":"public void loginBruker(JSONArray brukere) {\n if (brukere == null || brukere.length() < 1) {\n Toast.makeText(Login.this, \"Feil brukernavn eller passord\", Toast.LENGTH_SHORT).show();\n } else {\n Toast.makeText(Login.this, \"Du er logget inn\", Toast.LENGTH_SHORT).show();\n nextAct();\n }\n }","title":""},{"docid":"c3edf048dab0b263a8fc364595c66695","score":"0.5174782","text":"public void administrarPromotor() {\n\t\tlog.info(\"AdministrarPromotor.administrarPromotor() action called\");\n\t\tstatusMessages.add(\"administrarPromotor\");\n\t}","title":""},{"docid":"07fee2b2771b6198b7c63507390ff8ab","score":"0.5173499","text":"private void NominaNuovoAdminAction(){\n\n String cf = getBasicframe().InputMessage(\"Inserire Codice fiscale del nuovo Admin: \");\n\n try {\n\n if(cf != null) {\n\n setModel(new GestioneModel());\n\n if (cf.length() == 0)\n throw new Exception(\"Inserire codice fiscale\");\n\n if (cf.length() < 16)\n throw new Exception(\"Lungezza codice fiscale errata\");\n\n if (cf.equals(getUtenteloggato().getCodice_Fiscale()))\n throw new Exception(\"Errore è il suo codice fiscale\");\n\n if(!getModel().SearchUtente(cf))\n throw new Exception(\"Utente non trovato\");\n\n\n //Cancello il vecchio admin\n String[] appoggio = new String[4];\n appoggio[0] = \"flagvolontario\";\n appoggio[1] = \"ruolo\";\n appoggio[2] = \"Direttivo\";\n appoggio[3] = getUtenteloggato().getCodice_Fiscale();\n\n //il vecchio admin perde tutti i compiti prima posseduti\n if(getModel().UpdateSQL(appoggio) && getUtenteloggato().ResetCompiti()) {\n\n\n //ELEGGO IL NUOVO MCP\n appoggio[0] = \"flagvolontario\";\n appoggio[1] = \"ruolo\";\n appoggio[2] = \"Admin\";\n appoggio[3] = cf;\n\n if (getModel().UpdateSQL(appoggio) && getModel().SetteggioNuovoAdmin(cf)) {\n\n //messaggio di Broadcast\n Messaggio messaggio = new Messaggio(\"Broadcast\", \"INFO\",\n getUtenteloggato().getNome() + \" \" + getUtenteloggato().getCognome() +\n \" non è più l Admin \");\n\n if (messaggio.InsertSQL()) {\n\n messaggio.AggiornaBroadcast(getUtenteloggato(), Dview);\n\n //messaggio privato per il nuovo cordinatore\n Messaggio sms = new Messaggio(cf, \"Admin\", \"Sei diventato il nuovo Admin\");\n\n if (sms.InsertSQL())\n getBasicframe().Message(\"Cambiamento avvenuto!\\nHo inoltre avvertito il nuovo Admin\"\n + \"\\nPer vedere le modifiche apportate, effettuare un logout!\");\n }\n }\n }\n }\n\n\n }catch (Exception e){\n\n getBasicframe().ErrorMessage(e.getMessage());\n\n }\n\n }","title":""},{"docid":"cac33b79bb4df507895d38328a5c8252","score":"0.5173325","text":"public void clienteModificato() {\n\n try { // prova ad eseguire il codice\n\n /**\n * forza la rigenerazione\n * dei records perché la modifica potrebbe avere influito\n * sul gruppo nel quale il cliente è collocato (es. se ho\n * modificato la città)\n */\n this.getLogica().creaRecords();\n this.getNavMaster().aggiornaLista();\n\n } catch (Exception unErrore) { // intercetta l'errore\n Errore.crea(unErrore);\n }// fine del blocco try-catch\n\n }","title":""},{"docid":"c547cc38a58f279d6a2e8b1cc64be89d","score":"0.5166926","text":"@Override\n public void run() {\n Client client = Client.getInstance();\n\n if(client.isPecaAuthentic(this.transmissionObject.getPecas())){\n\n client.writeInDisk(this.transmissionObject.getIdPeca(), this.transmissionObject.getPecas());\n }\n\n\n }","title":""},{"docid":"2381ab3c47527978c22d1dcc202028aa","score":"0.5158137","text":"public void piocherParcelle(){\n\t\t\tif(actionsRestantes <= 0) return;\n if ((! mainParcelles.isEmpty()) || PiocheParcelle.getInstance().parcellesRestantes() == 0) return;\n\t\t\t--actionsRestantes;\n for (int i = 0; i < (PiocheParcelle.getInstance().parcellesRestantes() > 3 ? 3\n\t\t\t\t: PiocheParcelle.getInstance().parcellesRestantes()); ++i){\n mainParcelles.add(PiocheParcelle.getInstance().piocher());\n }\n verou = true;\n }","title":""},{"docid":"eb72978d70ac1ab61b9c7149779bd9d6","score":"0.5158054","text":"public void entrar(){\n if(this.pessoasPresentes<this.capacidadeElevador){\n this.pessoasPresentes++;\n }\n }","title":""},{"docid":"e203482270c38f5a2cdaf0c134ab0d2f","score":"0.5156106","text":"public String modifier() {\n\t\tlog.info(\"-----------------------------------------------------------\");\n\t\tlog.info(\"Entrée dans la méthode modifier()\");\n\t\tlog.info(\"-----------------------------------------------------------\");\t\t\n\t\tclientCourant = (Client)listeClientsModel.getRowData();\t\t\n\t\tlog.info(\"clientCourant.getNom() vaut : \" + clientCourant.getNom());\n\t\t\n\t\tdesactive1=true;\n\t\tdesactive2=false;\n\t render1=false;\n\t render2=true;\n\t \n\t\treturn \"sauverClient?faces-redirect=true\";\n\t}","title":""},{"docid":"073def4bc00dc1a1af50513b21d68eb3","score":"0.5152953","text":"@Override\n\tpublic void visualizzaTesseraCorrente(AdapterTessera tessera)\n\t{\n\n\t\tthis.setTesseraCorrente(tessera);\n\t\tthis.informaUser.setTesseraCorrente(tessera);\n\t\tthis.informaUser.mostraTesseraCorrente();\n\n\t}","title":""},{"docid":"27b97a1deabbd77fc6dee52b4232284b","score":"0.51520026","text":"private void jButtonRegistrarUsuarioActionPerformed(java.awt.event.ActionEvent evt) {//GEN-FIRST:event_jButtonRegistrarUsuarioActionPerformed\n \n String tipoUsuario=(String)jComboBoxTipoUsuarioRegistro.getSelectedItem();\n String nombreUsuario=jTextFieldNombreUsuarioRegistro.getText();\n String salario=\"\"+jSpinnerSalario.getValue();\n String fecha=new SimpleDateFormat(\"dd/MM/yyyy\").format(jDateChooserInicioLaboral.getDate());\n String contraseña=String.valueOf(jPasswordFieldContraseñaRegistro.getPassword());\n if(noEspaciosEnBlanco(tipoUsuario) && noEspaciosEnBlanco(nombreUsuario) \n && noEspaciosEnBlanco(salario) && noEspaciosEnBlanco(contraseña)){\n if(comprobarSiUsuarioNoExiste(tipoUsuario, nombreUsuario)){\n //Registrar usuario\n empresa.darAdmin().registrarUsuario(tipoUsuario, Integer.parseInt(salario), nombreUsuario, contraseña, fecha);\n limpiarPaneles();\n }else{\n int respuesta=JOptionPane.showOptionDialog(this,\"Usuario ya existente,¿Qué desea hacer?\",\"Atención\",JOptionPane.YES_NO_CANCEL_OPTION, JOptionPane.QUESTION_MESSAGE, null,new Object[]{\"Modificar\",\"Eliminar\",\"Cancelar\"},\"Cancelar\");\n if(respuesta!=-1 && respuesta!=2){\n if(respuesta==0){\n //Modificar usuario\n empresa.darAdmin().modificarUsuario(tipoUsuario, Integer.parseInt(salario), nombreUsuario, contraseña, fecha);\n limpiarPaneles();\n }else if(respuesta==1){\n //Eliminar usuario\n empresa.darAdmin().eliminarUsuario(tipoUsuario, nombreUsuario);\n limpiarPaneles();\n }\n }\n }\n \n }else{\n JOptionPane.showMessageDialog(null, \"No se permiten espacios vacios\", \"Advertencia\", JOptionPane.WARNING_MESSAGE);\n }\n }","title":""},{"docid":"0b2792c4268a0689cb387b9a835f55bd","score":"0.5151511","text":"public String irAmpliarBienes() {\n\t\tobtieneFlash().put(ParametrosFlashEnum.CLIENTE.getParamFlash(), this.cliente);\n\t\tobtieneFlash().put(ParametrosFlashEnum.NAVEGACION_MANAGED_BEAN.getParamFlash(), true);\n\t\treturn mx.babel.bansefi.banksystem.base.enums.integracionAppWhere.NavegacionEnum.PERSONASAMPLIARBIENES.getRuta();\n\t}","title":""},{"docid":"f1bbbf73fdfc01e2d0fe3d176056f453","score":"0.5144927","text":"private void consultarProveedor(String razonsocial) throws Exception {\n proveedor = proveedorcontroler.ProveedorBuscar(razonsocial);\n if (proveedor != null) {\n\n idProveedor=proveedor.getIdProveedor();\n // txtNombres.setText(pro.getNombres());\n comboBoxProveedor.setSelectedItem(proveedor.getRazonSocial());\n txtRuc.setText(proveedor.getRuc());\n\n } else {\n JOptionPane.showMessageDialog(null, \"Proveedor no registrado\");\n //System.out.println(\"Error\");\n }\n }","title":""},{"docid":"3bf65560681d7ac60e387d6b10f7ef64","score":"0.5143476","text":"public void verAdmitidosPublicados() {\n Utilidades.redireccionar(\"/AdmisionesApp/faces/Vistas/ListadosDeAdmitidos/listarAdmitidosPublicado.xhtml\");\n }","title":""},{"docid":"3d3e71e618953c56ffb0709301f5ca59","score":"0.5139243","text":"public void enProgreso() throws Exception{\n\t\tthis.estadoDescripcion = EnumEstadosReclamo.enProgreso.getEstado();\n\t\tReclamoManager.getInstance().guardarReclamo(this);\n\t\tMailManager.getInstance().enviarMail(this.mailCiudadanoReclamo, \"Accion Ciudadana - Solucion en progreso del reclamo\", MailManager.getInstance().armarTextoCambioEstados(this.estadoDescripcion,this));\n\t}","title":""},{"docid":"c2eb16cb2afe16243cbb38bca31c680c","score":"0.51332134","text":"private static void insertParrot() {\n\tcontroller.createParrot(\"Parrot one\", \"Grain\", 0.25, false);\n\tcontroller.createParrot(\"Parrot two\", \"Corn\", 0.5, true);\n}","title":""},{"docid":"ab736777746d890a5267743df0401df2","score":"0.5132672","text":"@Override\r\n public void onClick(View v) {\n if (checkNome(nome.getText().toString().trim()) &&\r\n checkCognome(cognome.getText().toString().trim()) &&\r\n checkMail(mail.getText().toString().trim()) &&\r\n checkPassword(pass.getText().toString().trim()) &&\r\n checkConfirmPassword(pass.getText().toString().trim(), repetpass.getText().toString().trim())) {\r\n\r\n //prendo i dati inseriti dall'utente\r\n String m = mail.getText().toString().trim();\r\n String n = nome.getText().toString().trim();\r\n String c = cognome.getText().toString().trim();\r\n String p = pass.getText().toString().trim();\r\n\r\n //creo un nuovo utente con i dati inseriti\r\n Utente u = new Utente(m, n, c, p);\r\n\r\n //prendo la lista di utenti già registrati\r\n List<Utente> list = DatiMock.getInstance().getUtenti();\r\n\r\n //eseguo il metodo che controlla che la mail non sia già registrata e in caso contrario aggiunge\r\n //l'utente nell'elenco degli utenti registrati\r\n checkUtente(list, u);\r\n }\r\n }","title":""},{"docid":"0f67b83e1e3ce11e393cb740326a3de6","score":"0.51303333","text":"void login()\n {\n Scanner sc=new Scanner(System.in);\n System.out.print(\"Enter username : \"); //this will take username from registered user\n String name=sc.nextLine();\n int i;\n boolean b = false;\n \n for(i=0;i<c;i++) //this for loop will check whether the data entered by regestered user is correct or not\n {\n if(obj[i].username.equalsIgnoreCase(name)) //if name entered by registered user is correct then this wil execute\n {\n b = true;\n System.out.print(\"Enter PIN : \");\n String pin = sc.nextLine();\n if(obj[i].PIN.equals(pin)) //this will check that pin entered by user is same as registered pin or not\n {\n System.out.println(\"ACCESS GRANTED\"); //if it is same as registered pin then it will grant the access\n viewSelectionFrame(i); \n }\n else //and if it is not correct then this will be printed\n {\n System.out.println(\"Invalid PIN.\\nACCESS REJECTED\");\n loginmenu();\n }\n break;\n }\n }\n if(!b) //if name entered by user is not same as registered name then this will be printed\n {\n\t\t\tSystem.out.println(\"No such account registered with the name \" + name + \".\");\n\t\t\tloginmenu();\n\t\t}\n }","title":""},{"docid":"3e111e941c143258a7cfa69493eee149","score":"0.5128685","text":"@Override\n\t\t\tpublic void mouseClicked(MouseEvent e) {\n\t\t\t\tsuper.mouseClicked(e);\n\t\t\t\t\n\t\t\t\tString pseudo = pseudoInput.getText();\n\t\t\t\tString mot_de_passe = passwordField.getText();\n\t\t\t\t\n\t\t\t\tif(pseudo == null || pseudo.length() < 5 || pseudo.equals(\"\") )\n\t\t\t\t{\n\t\t\t\t\tJOptionPane.showMessageDialog(null, \"Votre Pseudo doit contenir au moin 5 character.\", \"Erreur\", JOptionPane.ERROR_MESSAGE);\n\t\t\t\t}else if(mot_de_passe == null || mot_de_passe.equals(\"\"))\n\t\t\t\t{\n\t\t\t\t\tJOptionPane.showMessageDialog(null, \"Mot de passe ne peut pas etre vide.\", \"Erreur\", JOptionPane.ERROR_MESSAGE);\n\t\t\t\t}else {\n\t\t\t\t\tString fetchedCne = dao.chercheParPseudo(pseudo);\n\t\t\t\t\tif(fetchedCne != null)\n\t\t\t\t\t{\n\t\t\t\t\t\tUtilisateur user = null;\n\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\tuser = dao.chercheParId(fetchedCne);\n\t\t\t\t\t\t\t/**\n\t\t\t\t\t\t\t * Hashage du mot de passe\n\t\t\t\t\t\t\t */\n\t\t\t\t\t\t\tbyte[] bytesOfPassword = null;\n\t\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\t\tbytesOfPassword = mot_de_passe.getBytes(\"UTF-8\");\n\t\t\t\t\t\t\t} catch (UnsupportedEncodingException e1) {\n\t\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\t\te1.printStackTrace();\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tMessageDigest md;\n\t\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\t\tmd = MessageDigest.getInstance(\"MD5\");\n\t\t\t\t\t\t\t\tbyte[] thedigest = md.digest(bytesOfPassword);\n\t\t\t\t\t\t\t\tBigInteger bigInt = new BigInteger(1,thedigest);\n\t\t\t\t\t\t\t\tString hashedPassword = bigInt.toString(16);\n\t\t\t\t\t\t\t\t/**|Hashage du mot de passe*/\n\t\t\t\t\t\t\t\tif(user.getMot_de_pass().equals(hashedPassword))\n\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\tframe.setVisible(false);\n\t\t\t\t\t\t\t\t\tframe = null;\n\t\t\t\t\t\t\t\t\tSystem.gc();\n\t\t\t\t\t\t\t\t\tif(user.getIsAdmin() == 1)\n\t\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\t\tJOptionPane.showMessageDialog(frame, \"Bon retour Admin!!\", \"Salut\", JOptionPane.INFORMATION_MESSAGE);\n\t\t\t\t\t\t\t\t\t\tAdminPanel window = new AdminPanel();\n\t\t\t\t\t\t\t\t\t\twindow.frmGestionIlivre.setVisible(true);\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\telse\n\t\t\t\t\t\t\t\t\t\tnew Progress(user);\n\t\t\t\t\t\t\t\t}else {\n\t\t\t\t\t\t\t\t\tJOptionPane.showMessageDialog(null, \"Mot de passe incorrect.\", \"Erreur\", JOptionPane.ERROR_MESSAGE);\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t} catch (NoSuchAlgorithmException e2) {\n\t\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\t\te2.printStackTrace();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t} catch (SQLException e1) {\n\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\te1.printStackTrace();\n\t\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t\t\t\t}else{\n\t\t\t\t\t\tJOptionPane.showMessageDialog(null, \"Aucun compte avec ce pseudo.\", \"Erreur\", JOptionPane.ERROR_MESSAGE);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}","title":""},{"docid":"a75b9ec813b5ad8928eafffd1cdb98a9","score":"0.51185274","text":"public void onInscrireActionEvent(com.codename1.ui.events.ActionEvent ev) {\n\n\n \n //////////////////////\n \n \n if(!ControleUtility.isEmailValid(gui_email.getText()))\n gui_erreur.setText(\"Adresse e-mail invalide\"); \n else if(!ControleUtility.isPasswordValid(gui_motDePasse.getText())){ \n Dialog.show(\"Mot de passse invalide\",\"-un chiffre doit apparaître au moins une fois \\n\"\n + \"-une lettre minuscule doit apparaître au moins une fois \\n \"\n + \"-une lettre majuscule doit apparaître au moins une fois \\n\"\n + \"-un caractère spécial doit apparaître au moins une fois \\n\"\n + \"-aucun espace n'est autorisé dans toute la chaîne \\n\" \n + \"-au moins 8 caractères\", \"OK\",null);\n }\n else{\n \n \n if(gui_motDePasse.getText().equals(gui_ConfMotDePasse.getText())){\n \n String sexe=null;\n if(gui_homme.isSelected())\n sexe=\"Homme\";\n else if(gui_femme.isSelected())\n sexe=\"Femme\";\n \n Random rand = new Random();\n int randomNum = rand.nextInt((999999 - 100000) + 1) + 100000;\n String confirmationCode=String.valueOf(randomNum);\n User user=new User(gui_nom.getText(),gui_prenom.getText(),gui_Picker.getDate(),sexe,gui_adresse.getText(),gui_email.getText(),gui_motDePasse.getText(),RoleUser.SimpleUser,confirmationCode); \n ServiceUser.ajoutUser(user);\n EmailSend.sendConfirmation(gui_email.getText(),confirmationCode);\n Authentification authentification =new Authentification();\n authentification.show(); \n }\n else{\n gui_erreur.setText(\"Les mots de passe ne correspondent pas\");\n }\n \n }\n }","title":""},{"docid":"6f06039d9823dcf0d7ce5793b04d2b9b","score":"0.51147044","text":"@SuppressWarnings(\"unchecked\")\n // <editor-fold defaultstate=\"collapsed\" desc=\"Generated Code\">//GEN-BEGIN:initComponents\n private void initComponents() {\n\n jPanel1 = new javax.swing.JPanel();\n jLabel1 = new javax.swing.JLabel();\n tfEmail = new javax.swing.JTextField();\n jLabel2 = new javax.swing.JLabel();\n btnLogin = new javax.swing.JButton();\n cbPeran = new javax.swing.JComboBox<>();\n pfPassword = new javax.swing.JPasswordField();\n btnRegistSiswa = new javax.swing.JButton();\n btnRegistTutor = new javax.swing.JButton();\n jLabel3 = new javax.swing.JLabel();\n\n setDefaultCloseOperation(javax.swing.WindowConstants.EXIT_ON_CLOSE);\n\n jPanel1.setBackground(new java.awt.Color(255, 255, 255));\n\n jLabel1.setText(\"Email\");\n\n jLabel2.setText(\"Password\");\n\n btnLogin.setText(\"Login\");\n\n cbPeran.setModel(new javax.swing.DefaultComboBoxModel<>(new String[] { \"Tutor\", \"Siswa\", \"-\" }));\n\n btnRegistSiswa.setText(\"Register Siswa\");\n btnRegistSiswa.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent evt) {\n btnRegistSiswaActionPerformed(evt);\n }\n });\n\n btnRegistTutor.setText(\"Register Tutor\");\n btnRegistTutor.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent evt) {\n btnRegistTutorActionPerformed(evt);\n }\n });\n\n jLabel3.setText(\"As\");\n\n javax.swing.GroupLayout jPanel1Layout = new javax.swing.GroupLayout(jPanel1);\n jPanel1.setLayout(jPanel1Layout);\n jPanel1Layout.setHorizontalGroup(\n jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addGroup(jPanel1Layout.createSequentialGroup()\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addGroup(jPanel1Layout.createSequentialGroup()\n .addGap(45, 45, 45)\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addComponent(jLabel2)\n .addComponent(jLabel1)\n .addComponent(jLabel3))\n .addGap(34, 34, 34)\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING, false)\n .addComponent(cbPeran, 0, 193, Short.MAX_VALUE)\n .addComponent(tfEmail)\n .addComponent(pfPassword)))\n .addGroup(jPanel1Layout.createSequentialGroup()\n .addGap(32, 32, 32)\n .addComponent(btnRegistTutor, javax.swing.GroupLayout.PREFERRED_SIZE, 116, javax.swing.GroupLayout.PREFERRED_SIZE)\n .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED)\n .addComponent(btnLogin, javax.swing.GroupLayout.PREFERRED_SIZE, 116, javax.swing.GroupLayout.PREFERRED_SIZE)\n .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED)\n .addComponent(btnRegistSiswa, javax.swing.GroupLayout.PREFERRED_SIZE, 116, javax.swing.GroupLayout.PREFERRED_SIZE)))\n .addContainerGap(26, Short.MAX_VALUE))\n );\n jPanel1Layout.setVerticalGroup(\n jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addGroup(jPanel1Layout.createSequentialGroup()\n .addGap(39, 39, 39)\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE)\n .addComponent(cbPeran, javax.swing.GroupLayout.PREFERRED_SIZE, 37, javax.swing.GroupLayout.PREFERRED_SIZE)\n .addComponent(jLabel3))\n .addGap(18, 18, 18)\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE)\n .addComponent(jLabel1)\n .addComponent(tfEmail, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE))\n .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED)\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE)\n .addComponent(jLabel2)\n .addComponent(pfPassword, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE))\n .addGap(18, 18, 18)\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE)\n .addComponent(btnLogin, javax.swing.GroupLayout.PREFERRED_SIZE, 53, javax.swing.GroupLayout.PREFERRED_SIZE)\n .addComponent(btnRegistSiswa, javax.swing.GroupLayout.PREFERRED_SIZE, 53, javax.swing.GroupLayout.PREFERRED_SIZE)\n .addComponent(btnRegistTutor, javax.swing.GroupLayout.PREFERRED_SIZE, 53, javax.swing.GroupLayout.PREFERRED_SIZE))\n .addContainerGap(33, Short.MAX_VALUE))\n );\n\n javax.swing.GroupLayout layout = new javax.swing.GroupLayout(getContentPane());\n getContentPane().setLayout(layout);\n layout.setHorizontalGroup(\n layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addComponent(jPanel1, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE)\n );\n layout.setVerticalGroup(\n layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addComponent(jPanel1, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE)\n );\n\n pack();\n }","title":""},{"docid":"8de42e494df65a42d84aecbe86573464","score":"0.51061124","text":"public void login() {\n \tlm.startLoginProcedure(am.getUsername(), am.getPassword());\n }","title":""},{"docid":"a836fb2f8a53e374c2923e69440549da","score":"0.5105597","text":"private void ingresarRol() {\n\n persona.setNombre(etNombre.getText().toString());\n // Log.d(\"LogPulpo.TAG\", \"NOMBRE PERSONA\" + etNombre.getText().toString()+\"CrearCuentaActivity\");\n persona.setApellido(etApellido.getText().toString());\n // persona.setCorreo(etCorreoE.getText().toString())\n PulpoSingleton.getInstance().setMail(etCorreoE.getText().toString());\n mailC = IdentificadorUtils.crearIdentificacionMail(etCorreoE.getText().toString());\n PulpoSingleton.getInstance().setMail(mailC);\n // Log.d(\"LogPulpo.TAG\", \"EL VALOR DEL CORREO ES \" + mailC+\"CrearCuentaActivity\");\n FirebaseDatabase database = FirebaseDatabase.getInstance();\n DatabaseReference myRef1 = database.\n getReference(Rutas.USUARIOS);\n myRef1.child(mailC).setValue(persona);\n\n\n // Toast.makeText(this, \"Se inserto el USUARIO EN EL ROL:\" + persona.getNombre().toString(), Toast.LENGTH_LONG).show();\n // Log.d(\"LogPulpo.TAG\", \"Se inserto el USUARIO EN EL ROL\"+\"CrearCuentaActivity\");\n tilMensajeCrear.setError(\"Se inserto el USUARIO EN EL ROL:\" + persona.getNombre().toString());\n\n }","title":""},{"docid":"7a4c25b01af5c382c5f3a43e29a1c43e","score":"0.5104278","text":"@FXML\r\n void clickLogin(ActionEvent event) {\r\n \t\r\n \t\r\n \tString getUser = txtUser.getText();\r\n \tString getPassw = txtPassword.getText();\r\n \tString selectUser =\"select usuario,password,privilegios from afiliadoscomite.usuarios where usuario='\"+getUser+\"'\";\r\n \t\r\n \ttry {\r\n \t\t\r\n\t\t\tConnection conn = Conexion.getConection();\r\n\t\t\tPreparedStatement pstat = conn.prepareStatement(selectUser);\r\n\t\t\tResultSet rs = pstat.executeQuery();\r\n\t\t\t\r\n\t\t\tif(rs.next()) {\r\n\t\t\t\tString userBD = rs.getString(\"usuario\");\r\n\t\t\t\tString passwBD = rs.getString(\"password\");\r\n\t\t\t\tString privilegiosBD = rs.getString(\"privilegios\");\r\n\t\t\t\t\r\n\t\t\t\tif(getPassw.equals(passwBD)) {\r\n\t\t\t\t\tif(privilegiosBD.equals(\"administrador\")) {\r\n\t\t\t\t\t\tSystem.out.println(\"Admin\");\r\n\t\t\t\t\t\t//propiedades para arrancar con admin\r\n\t\t\t\t\t}else if(privilegiosBD.equals(\"usuario\")){\r\n\t\t\t\t\t\tSystem.out.println(\"usuario\");\r\n\t\t\t\t\t\t//propiedades para arrancar con usuario\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t}else {\r\n\t\t\t\t\t// contraseña incorrecta\r\n\t\t\t\t\tNotifications notificacion = Notifications.create()\r\n\t\t\t\t\t\t\t.title(\"Contraseña incorrecta\")\r\n\t\t\t\t\t\t\t.text(\"Verifique que la contraseña es correcta\")\r\n\t\t\t\t\t\t\t.graphic(null)\r\n\t\t\t\t\t\t\t.hideAfter(Duration.seconds(5))\r\n\t\t\t\t\t\t\t.position(Pos.BOTTOM_RIGHT);\r\n\t\t\t\t\r\n\t\t\t\t\tnotificacion.showError();\r\n\t\t\t\t\tSystem.out.println(\"contrseña incorrecta\");\r\n\t\t\t\t}\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t}else {\r\n\t\t\t\t// usuario no existe\r\n\t\t\t\tSystem.out.println(\"Usuario no existe\");\r\n\t\t\t\tNotifications notificacion = Notifications.create()\r\n\t\t\t\t\t\t.title(\"Usuario desconocido\")\r\n\t\t\t\t\t\t.text(\"El Usuario introducido no existe\")\r\n\t\t\t\t\t\t.graphic(null)\r\n\t\t\t\t\t\t.hideAfter(Duration.seconds(5))\r\n\t\t\t\t\t\t.position(Pos.BOTTOM_RIGHT);\r\n\t\t\t\tnotificacion.showError();\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\t\r\n\t\t} catch (SQLException e) {\r\n\t\t\t// TODO Bloque catch generado automáticamente\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n \t\r\n \t\r\n }","title":""},{"docid":"af8b61885c91291ccd8b8519793e17fb","score":"0.51040953","text":"private Gebruiker leesGegevensLid(ResultSet res) throws SQLException {\n Gebruiker gebruiker = new Gebruiker();\n gebruiker.setId(res.getInt(\"id\"));\n gebruiker.setNaam(res.getString(\"naam\"));\n gebruiker.setAdres(res.getString(\"adres\"));\n gebruiker.setPostcode(res.getString(\"postcode\"));\n gebruiker.setPlaats(res.getString(\"plaats\"));\n gebruiker.setEmail(res.getString(\"email\"));\n gebruiker.setWachtwoord(res.getString(\"wachtwoord\"));\n gebruiker.setBeheerder(false);\n return gebruiker;\n }","title":""},{"docid":"3e76fd128e6fa42e4f3477e78d647feb","score":"0.51036686","text":"void jogar() {\n telaPrincipal = new TelaPrincipal(this);\n telaPrincipal.exibir();\n\n analisador = new Analisador(telaPrincipal.getInput());\n imprimirBoasVindas();\n }","title":""},{"docid":"fdc7cdd055fad7536827741c9789b7ad","score":"0.51011163","text":"public void setUsuarioModificacion(String p) { this.usuarioModificacion = p; }","title":""},{"docid":"fdc7cdd055fad7536827741c9789b7ad","score":"0.51011163","text":"public void setUsuarioModificacion(String p) { this.usuarioModificacion = p; }","title":""},{"docid":"fdc7cdd055fad7536827741c9789b7ad","score":"0.51011163","text":"public void setUsuarioModificacion(String p) { this.usuarioModificacion = p; }","title":""},{"docid":"addd8c8d0348c9508fa07a9a1cc204d6","score":"0.5100831","text":"public Leiho5Login(Ostatua hartutakoOstatua, double prezioTot, java.util.Date sartzeData, java.util.Date irtetzeData, int logelaTot, int pertsonaKop, String pentsioMota, ArrayList<HartutakoOstatuarenZerbitzuak> hartutakoZerbitzuArray, boolean gosaria) {\r\n\t\t// panelaren propietateak\r\n\t\tsetIconImage(Toolkit.getDefaultToolkit().getImage(\".\\\\Argazkiak\\\\logoa.png\"));\r\n\t\tgetContentPane().setLayout(null);\r\n\t\tthis.setBounds(350, 50, 600, 600);\r\n\t\tthis.setResizable(false); // neurketak ez aldatzeko\r\n\t\tthis.setSize(new Dimension(600, 600));\r\n\t\tthis.setTitle(\"Airour ostatu bilatzailea\");\r\n\r\n\t\t// botoiak\r\n\t\tbtn_next.addActionListener(new ActionListener() {\r\n\t\t\t@Override\r\n\t\t\tpublic void actionPerformed(ActionEvent e) {\r\n\t\t\t\t// bbdd-ra konektatu pasahitza frogatzeko\r\n\t\t\t\tnan = txtNan.getText();\r\n\r\n\t\t\t\tif (nan.matches(\"^[0-9]{8}[A-Za-z]$\")) {\r\n\t\t\t\t\tnanLarria = nan.substring(8).toUpperCase();\r\n\t\t\t\t\tnan = nan.substring(0, 8) + nanLarria;\r\n\t\t\t\t\tpasahitza = String.valueOf(passwordField.getPassword());\r\n\t\t\t\t\tbalPasa = MetodoakKontsultak.frogatuPasahitza(pasahitza);\r\n\t\t\t\t\tbalNan = MetodoakKontsultak.frogatuNAN(nan);\r\n\t\t\t\t\tif (balPasa && balNan) {\r\n\t\t\t\t\t\tMetodoakLeihoAldaketa.zazpigarrenLeihoa(hartutakoOstatua, prezioTot, sartzeData, irtetzeData,\r\n\t\t\t\t\t\t\t\tnan, logelaTot, pertsonaKop, pentsioMota, hartutakoZerbitzuArray, gosaria);\r\n\t\t\t\t\t\tdispose();\r\n\t\t\t\t\t} else {\r\n\t\t\t\t\t\tlblErroreakonektatu.setBounds(145, 329, 318, 22);\r\n\t\t\t\t\t\tlblErroreakonektatu.setForeground(Color.RED);\r\n\t\t\t\t\t\tlblErroreakonektatu.setText(\"NAN-a edo pasahitza ez dago ondo, sartu berriz\");\r\n\t\t\t\t\t\tlblErroreakonektatu.setVisible(true);\r\n\t\t\t\t\t}\r\n\t\t\t\t} else {\r\n\t\t\t\t\tlblErroreakonektatu.setBounds(145, 329, 318, 22);\r\n\t\t\t\t\tlblErroreakonektatu.setForeground(Color.RED);\r\n\t\t\t\t\tlblErroreakonektatu.setText(\"NAN-a 8 zenbaki eta letra bat du\");\r\n\t\t\t\t\tlblErroreakonektatu.setVisible(true);\r\n\t\t\t\t}\r\n\r\n\t\t\t}\r\n\t\t});\r\n\t\tbtn_next.setBounds(423, 500, 122, 32);\r\n\t\tbtn_next.setFont(new Font(\"Tahoma\", Font.ITALIC, 16));\r\n\t\tbtn_next.setForeground(Color.RED);\r\n\t\tgetContentPane().add(btn_next);\r\n\r\n\t\tbtn_prev.addActionListener(new ActionListener() {\r\n\t\t\t@Override\r\n\t\t\tpublic void actionPerformed(ActionEvent e) {\r\n\t\t\t\tMetodoakLeihoAldaketa.laugarrenLeihoa(hartutakoOstatua, prezioTot, sartzeData, irtetzeData, logelaTot, pertsonaKop);\r\n\t\t\t\tdispose();\r\n\t\t\t}\r\n\t\t});\r\n\t\tbtn_prev.setFont(new Font(\"Tahoma\", Font.ITALIC, 16));\r\n\t\tbtn_prev.setForeground(Color.RED);\r\n\t\tbtn_prev.setBounds(38, 500, 107, 32);\r\n\t\tgetContentPane().add(btn_prev);\r\n\r\n\t\trestart.addActionListener(new ActionListener() {\r\n\t\t\t@Override\r\n\t\t\tpublic void actionPerformed(ActionEvent e) {\r\n\t\t\t\tMetodoakLeihoAldaketa.lehenengoLeihoa();\r\n\t\t\t\tdispose();\r\n\t\t\t}\r\n\t\t});\r\n\t\trestart.setBounds(245, 500, 72, 32);\r\n\t\trestart.setForeground(Color.RED);\r\n\t\tgetContentPane().add(restart);\r\n\r\n\t\t// non, formatua eta zer jarri\r\n\t\tlblPrezioTotala = new JLabel(\"Prezio totala:\");\r\n\t\tlblPrezioTotala.setFont(new Font(\"Tahoma\", Font.BOLD, 17));\r\n\t\tlblPrezioTotala.setBounds(157, 37, 117, 20);\r\n\t\tgetContentPane().add(lblPrezioTotala);\r\n\r\n\t\ttxtPrezioTot.setEditable(false);\r\n\t\ttxtPrezioTot.setColumns(10);\r\n\t\ttxtPrezioTot.setBounds(281, 37, 86, 20);\r\n\r\n\t\t// guztiraPrez kalkulatzeko metodoari deitu\r\n\t\ttxtPrezioTot.setText(prezioTot + \" €\");\r\n\t\tgetContentPane().add(txtPrezioTot);\r\n\r\n\t\tlblNan = new JLabel(\"NAN:\");\r\n\t\tlblPasahitza = new JLabel(\"Pasahitza:\");\r\n\r\n\t\tlblKonekBezeroMezua = new JLabel(\"Hasi saioa edo erregistratu\");\r\n\t\tlblKonekBezeroMezua.setForeground(Color.BLUE);\r\n\t\tlblKonekBezeroMezua.setHorizontalAlignment(SwingConstants.CENTER);\r\n\t\tlblKonekBezeroMezua.setFont(new Font(\"Tempus Sans ITC\", Font.BOLD | Font.ITALIC, 14));\r\n\t\tlblKonekBezeroMezua.setBounds(122, 74, 328, 25);\r\n\t\tgetContentPane().add(lblKonekBezeroMezua);\r\n\r\n\t\tlblNan.setFont(new Font(\"Tahoma\", Font.BOLD, 17));\r\n\t\tlblNan.setBounds(214, 211, 62, 20);\r\n\t\tgetContentPane().add(lblNan);\r\n\r\n\t\ttxtNan.setBounds(283, 211, 86, 20);\r\n\t\tgetContentPane().add(txtNan);\r\n\t\ttxtNan.addKeyListener(new KeyAdapter() {\r\n\t\t\tpublic void keyTyped(KeyEvent e) {\r\n\t\t\t\tletra = e.getKeyChar();\r\n\t\t\t\t// 9 baino gehiago edo espazioa sartzerakoan\r\n\t\t\t\tif (txtNan.getText().length() > nanLuzera || (letra == '\\b'))\r\n\t\t\t\t\te.consume(); // ez du godetzen\r\n\t\t\t}\r\n\t\t});\r\n\r\n\t\tlblPasahitza.setFont(new Font(\"Tahoma\", Font.BOLD, 17));\r\n\t\tlblPasahitza.setBounds(184, 266, 93, 20);\r\n\t\tgetContentPane().add(lblPasahitza);\r\n\r\n\t\tpasswordField.setEchoChar('*');\r\n\t\tpasswordField.setBounds(283, 269, 86, 20);\r\n\t\tgetContentPane().add(passwordField);\r\n\r\n\t\tlblErroreakonektatu = new JLabel();\r\n\t\tlblErroreakonektatu.setHorizontalAlignment(SwingConstants.CENTER);\r\n\t\tgetContentPane().add(lblErroreakonektatu);\r\n\r\n\t\tlblIzena = new JLabel(\"Izena:\");\r\n\t\tlblAbizenak = new JLabel(\"Abizenak:\");\r\n\t\tlblJaioData = new JLabel(\"Jaio data:\");\r\n\r\n\t\t// erregistratu ematerakoan agertu behar diren bariableak\r\n\t\tbtnErregistratuNahi.addActionListener(new ActionListener() {\r\n\t\t\tpublic void actionPerformed(ActionEvent arg0) {\r\n\t\t\t\tMetodoakLeihoAldaketa.seigarrenLeihoa(hartutakoOstatua, prezioTot, sartzeData, irtetzeData, logelaTot, pertsonaKop, pentsioMota, hartutakoZerbitzuArray, gosaria);\r\n\t\t\t\tdispose();\r\n\t\t\t}\r\n\t\t});\r\n\t\tbtnErregistratuNahi.setBounds(227, 122, 122, 25);\r\n\t\tgetContentPane().add(btnErregistratuNahi);\r\n\r\n\t}","title":""},{"docid":"42c74f690a1a5bbf4e895b5db12ba9b5","score":"0.5099453","text":"public Principal() {\n initComponents();\n jd_Login.setModal(true);\n jd_Login.pack();\n jd_Login.setVisible(true);\n jd_Login.setLocationRelativeTo(jd_Login);\n DefaultComboBoxModel model = (DefaultComboBoxModel) jcb_Receptor.getModel();\n model.addElement(\"Kim\");\n jcb_Receptor.setModel(model);\n\n DefaultComboBoxModel model2 = (DefaultComboBoxModel) cb_destinatario.getModel();\n model2.addElement(\"Kim\");\n cb_destinatario.setModel(model2);\n //primerModelo = (DefaultTableModel) jt_tabla.getModel(); \n if (estado == false) {\n this.setVisible(false);\n }\n\n }","title":""},{"docid":"bfd1f434601a08603b9a4dd2e0d1d5eb","score":"0.5097754","text":"private void aggiornamentoSalvataggio() {\n\t\tSharedPreferences pref = getSharedPreferences(\"CARPOOLING\", MODE_PRIVATE);\n\n\t\tif(pref.getInt(\"checked\", -1)==1){\n\t\t\tString user = pref.getString(\"username\", \"-1\");\n\t\t\tString pass = pref.getString(\"password\", \"-1\");\n\t\t\tif(!user.equalsIgnoreCase(username.getText().toString()) || !pass.equalsIgnoreCase(password.getText().toString())){\n\t\t\t\tEditor ed = pref.edit();\n\t\t\t\ted.putString(\"username\",username.getText().toString() );\n\t\t\t\ted.putString(\"password\", password.getText().toString());\n\t\t\t\ted.commit();\n\t\t\t}\n\t\t}\n\t}","title":""},{"docid":"0a1346c1ff089dba27f57d4f37f9f0b7","score":"0.50828105","text":"private void signInButtonHandler(ActionEvent e) {\n try {\n Voter voter = this.model.findVoter(this.emailTextField.getText());\n\n if (voter.isEligible(this.election)) {\n Ballot ballot = this.model.getBallot(voter, this.election);\n\n SingleBallotFormGUI singleBallotFormGUI =\n new SingleBallotFormGUI(this.model, this.election, voter, ballot, this);\n\n singleBallotFormGUI.start(this.primaryStage);\n } else {\n this.errorTxt.setText(voter.getName().toString() + \"\\nis not eligible\");\n }\n } catch (InexistentVoterException exc) {\n this.errorTxt.setText(\n \"Voter with email (\" + this.emailTextField.getText() + \") is not in our database\");\n } catch (Exception exc) {\n this.errorTxt.setText(exc.getMessage());\n }\n }","title":""},{"docid":"82b0c4764e2579a1a5e3266a11bfa035","score":"0.50758195","text":"@Override\r\n protected void onSubmit() {\n if (isABozo(user.getName())) {\r\n \r\n // the final parameter is the default message if no\r\n // properties file found\r\n String errMsg = getLocalizer().getString(\r\n \"bozo.errors.isABozo\", UserPage.this,\r\n \"No bozos allowed default\");\r\n \r\n error(errMsg);\r\n \r\n \r\n } else {\r\n PageParameters pageParameters = new PageParameters();\r\n pageParameters.add(\"name\", user.getName());\r\n pageParameters.add(\"age\", Integer.toString(user.getAge()));\r\n pageParameters.add(\"nickName\", user.getNickName());\r\n \r\n setResponsePage(SuccessPage.class, pageParameters);\r\n }\r\n \r\n }","title":""},{"docid":"6b55c0d037eb7162ba203280449d71ef","score":"0.50716877","text":"public void getValuefromGui() {\n Username = Namet.getText();\n Pno = Phno.getText();\n\n email = Email.getText();\n System.out.println(email);\n\n\n Rolval = Rolecb.getSelectedItem().toString();\n\n pwd = String.valueOf(p1.getPassword());\n\n\n }","title":""},{"docid":"6cf90c49c3cc8c6368de1ea711c0463f","score":"0.50690055","text":"public void eveModificar() {\n int filaSeleccionada = panelUsuarios.getTablaUsuarios().getSelectedRow();\n\n if (filaSeleccionada >= 0) {\n\n this.nombreUsuario =\n panelUsuarios.getTablaUsuarios().getValueAt(filaSeleccionada, 1).toString();\n \n int opc =\n JOptionPane.showConfirmDialog(\n null,\n \" Desea modificar el usuario: \" + nombreUsuario + \"? \",\n \"Confirmar modificacion \",\n JOptionPane.YES_NO_OPTION,\n JOptionPane.QUESTION_MESSAGE);\n /*\n * Le preguntare al usuario si en realidad desea modificar la categoria.\n */\n\n if (opc == 0) {\n\n\n panelUsuarios.getModeloTabla().removeRow(filaSeleccionada);\n UsuarioDTO consultarUsuario = usuarioDAO.Consultar(this.nombreUsuario);\n\n int i;\n for (i = 0; i < this.panelUsuarios.getComboTipoUsuario().getItemCount(); i++) {\n\n if (this.panelUsuarios.getComboTipoUsuario().getItemAt(i).getIdTipoUsuario()\n == consultarUsuario.getIdTipoUsuario()) {\n\n //this.panelUsuarios.getComboTipoUsuario().setSelectedIndex(i);\n break;\n }\n }\n\n panelUsuarios.llenarFormulario(consultarUsuario, i);\n }\n } else {\n\n JOptionPane.showMessageDialog(null, \"Seleccione la fila a eliminar\");\n }\n }","title":""},{"docid":"3cd8ca17581107b7d5fbc049574bebf9","score":"0.50675386","text":"public void exibirUsuarios() {\n\t\tTreeSet<Usuario> listaUsuarios = Banco.getUsuarios();\r\n\t\tSystem.out.println(\"Lista de usuarios:\");\r\n\t\tExibir.exibirUsuarios(listaUsuarios);\r\n\t}","title":""},{"docid":"55cf00dce7a07eb2735ba4a50553d5ee","score":"0.5067524","text":"public void volar() {\n\t\t\r\n\t}","title":""},{"docid":"2d5ee208c129e59cd69e3d9e90352baf","score":"0.5066552","text":"public void clicSurBoutonGauche()\n// le clic dans la ZML exécutera le code de clic de ce bouton\n// A Faire : Ajoutez le code sur le clic de ce bouton\n// Info(\"clic sur \"+MoiMême..Nom)\n{\nsuper.clicSurBoutonGauche();\n\n// ouvre(profil,id)\nWDAPIFenetre.ouvre(GWDPGruppeto.getInstance().mWD_Profil,new WDObjet[] {vWD_id} );\n\n}","title":""},{"docid":"cbddc483300e1247f20073a941419f68","score":"0.50649035","text":"public boolean placerParcelle(Parcelle parcelle, Coordonnees coordonnees) {\n if (! mainParcelles.contains(parcelle)) return false;\n if (Plateau.getInstance().placerParcelle(parcelle, coordonnees)){\n remettreParcellesSaufUne(parcelle);\n\t\t\t\t\tAfficheur.getInstance().afficherAction(nom+\" place une Parcelle \"+parcelle.getCouleur()+\" en \"+coordonnees);\n return true;\n }\n return false;\n }","title":""}],"string":"[\n {\n \"docid\": \"c63ccb93d439636ca8e007621e0dcb03\",\n \"score\": \"0.57342386\",\n \"text\": \"public void starteVerarbeitung(String benName, String pw) {\\n\\t\\tMain.debug.println(\\\"INVOKED (\\\"+this.hashCode()+\\\", T\\\"+this.getId()+\\\") \\\"+getClass()+\\\" (POP3Client), starteVerarbeitung(\\\"+benName+\\\",\\\"+pw+\\\")\\\");\\n\\t\\tboolean erfolg = true;\\n\\n\\t\\tif (socket != null && socket.istVerbunden()) {\\n\\t\\t\\ttry {\\n\\t\\t\\t\\terfolg = socket.empfangen().startsWith(\\\"+\\\");\\n\\t\\t\\t\\tif (erfolg) erfolg = eingabeBenutzername(benName);\\n\\t\\t\\t\\tif (erfolg) erfolg = eingabePasswort(pw);\\n\\t\\t\\t\\tif (erfolg) erfolg = alleEmailsAbrufen();\\n\\t\\t\\t\\tsitzungBeenden();\\n\\t\\t\\t}\\n\\t\\t\\tcatch (Exception e) {\\n\\t\\t\\t\\te.printStackTrace(Main.debug);\\n\\t\\t\\t\\tanwendung.benachrichtigeBeobachter(e);\\n\\t\\t\\t}\\n\\n\\t\\t\\tanwendung.benachrichtigeBeobachter();\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a4066bdf6b7c02a5063a685c97e76080\",\n \"score\": \"0.57039404\",\n \"text\": \"@Override\\n\\tpublic void invitaPersoane() {\\n\\t\\tSystem.out.println(\\\"L-a masa \\\"+this.cod+\\\" au fost invitate persoanele\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6771cfd7d47c56b6a477c2ae2ae37a0c\",\n \"score\": \"0.5660953\",\n \"text\": \"public void PlantillasModoPrivilegiados (){}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d6e38ae71563b52bc79edf3e0c7f63a2\",\n \"score\": \"0.5659079\",\n \"text\": \"private void jButton1MouseClicked(MouseEvent evt)\\n {\\n String nome = this.jTextField1.getText();\\n String morada = this.jTextField2.getText();\\n String mail = this.jTextField3.getText();\\n String telefone = this.jTextField5.getText();\\n int dia = this.jTextField7.getText().isEmpty() ? 0: Integer.parseInt(this.jTextField7.getText());\\n int mes = this.jTextField9.getText().isEmpty() ? 0: Integer.parseInt(this.jTextField9.getText());\\n int ano = this.jTextField10.getText().isEmpty() ? 0: Integer.parseInt(this.jTextField10.getText());\\n String password = new String(this.jPasswordField1.getPassword());\\n String confirmacao = new String(this.jPasswordField2.getPassword());\\n \\n if( !nome.isEmpty() && !morada.isEmpty() && !mail.isEmpty() && !telefone.isEmpty() )\\n {\\n if ( dia>0&&dia<32 &&mes>0&&mes<13 &&ano>0&&ano<2013)\\n {\\n if(password.equals(confirmacao))\\n {\\n String data = Integer.toString(dia) + \\\"-\\\" + Integer.toString(mes) + \\\"-\\\" + Integer.toString(ano);\\n\\n if(jCheckBox1.isSelected())\\n {\\n ((Administrador)this.biblioteca.getUtilizadorActual()).criaAluno(nome,morada,telefone,mail,data, password);\\n JOptionPane.showMessageDialog(this,\\\"Dados Inseridos Com Sucesso!\\\", \\\"Sucesso!\\\", JOptionPane.INFORMATION_MESSAGE);\\n this.setVisible(false);\\n }\\n else if(jCheckBox2.isSelected())\\n {\\n ((Administrador)this.biblioteca.getUtilizadorActual()).criaProfessor(nome, morada, telefone, mail, data, password);\\n JOptionPane.showMessageDialog(this,\\\"Dados Inseridos Com Sucesso!\\\", \\\"Sucesso!\\\", JOptionPane.INFORMATION_MESSAGE);\\n this.setVisible(false);\\n }\\n else\\n JOptionPane.showMessageDialog(this,\\\"Escolher Categoria de Leitor\\\", \\\"Erro\\\", JOptionPane.INFORMATION_MESSAGE);\\n }\\n else\\n JOptionPane.showMessageDialog(this,\\\"Passwords Não Correspondem\\\", \\\"Erro\\\",JOptionPane.ERROR_MESSAGE);\\n }\\n else\\n JOptionPane.showMessageDialog(this,\\\"Data Inválida\\\",\\\"Erro\\\",JOptionPane.ERROR_MESSAGE);\\n }\\n else\\n JOptionPane.showMessageDialog(this,\\\"Dados Incompletos\\\",\\\"Erro\\\",JOptionPane.ERROR_MESSAGE);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"279b4053c6181d1c8d449b5917c8afc2\",\n \"score\": \"0.5604029\",\n \"text\": \"private void caerEnParking() {\\n\\n // Se añaden a la fortuna del jugador los impuestos recaudados\\n final Parking parking = (Parking) getTablero().getCasillas().get(Constantes.POSICION_PARKING / 10).get(\\n Constantes.POSICION_PARKING % 10);\\n\\n parking.ejecutarAccion(getJugador());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"334e5069865315546841f70e6480aacb\",\n \"score\": \"0.55963796\",\n \"text\": \"@Override\\n public void asegurarPuertas() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cd9fcc9a8537cd1d7dffdaf73e25c80b\",\n \"score\": \"0.5572647\",\n \"text\": \"@FXML\\n\\tpublic void maakGebruiker(ActionEvent event) {\\n\\t\\ttry {\\n\\t\\t\\tif (this.txtBarcode\\t.getText()\\n\\t\\t\\t\\t\\t\\t\\t\\t.equals(\\\"\\\")\\n\\t\\t\\t\\t|| !this.txtBarcode\\t.getText()\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.matches(\\\"[0-9]*\\\")) {\\n\\t\\t\\t\\tthrow new IllegalArgumentException(\\\"barcode mag enkel cijfers zijn\\\");\\n\\t\\t\\t}\\n\\t\\t\\tGebruikerDTO dto = new GebruikerDTO(this.txtGebruikersnaam.getText(),\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tthis.cbType.getValue(),\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tnull,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tLong.parseLong(this.txtBarcode.getText()),\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tthis.txtEmail.getText(),\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tthis.txtNaam.getText(),\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tnew GebruikerState(null, this.cbStatus.getValue()));\\n\\t\\t\\tif (isWijzigingsFormulier) {\\n\\t\\t\\t\\tthis.dc.wijzigGebruiker(dto);\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tthis.dc.maakGebruikerAan(dto);\\n\\t\\t\\t}\\n\\n\\t\\t\\tStage window = (Stage) ((Node) event.getSource())\\t.getScene()\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.getWindow();\\n\\t\\t\\twindow.close();\\n\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tthis.lblError.setText(e.getMessage());\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4429dd8ff33623f6f352bb3bdce5fdcf\",\n \"score\": \"0.5572265\",\n \"text\": \"public String modifier() {\\n\\t\\t\\n\\t\\tFacesContext context = FacesContext.getCurrentInstance();\\n\\t\\t\\n\\t\\t//si la confirmation est valide, modifier la mote de pass avec un message de succès\\n\\t\\tif(LoginUser.getPass().equals(passConf)) {\\n\\t\\t\\tString name= LoginUser.getLogin();\\n\\t\\t\\tString pass = LoginUser.getPass();\\n\\t\\t\\tUsers user = serviceusers.findByName(name);\\n\\t\\t\\t\\n\\t\\t\\tuser.setPass(pass);\\n\\t\\t\\t\\n\\t\\t\\tserviceusers.update(user);\\n\\t\\t\\t\\n\\t\\t\\tSystem.out.println(user);\\n\\t\\t\\t\\n\\t\\t\\tcontext.addMessage(null, new FacesMessage(FacesMessage.SEVERITY_INFO, \\\"Modifer\\\", \\\"Modifer avec succeè\\\") );\\n\\n\\t\\t\\treturn \\\"index\\\";\\n\\t\\t}\\n\\t\\t//sinon, afficher un message d'erreur\\n\\t\\telse {\\n\\t\\t\\tcontext.addMessage(null, new FacesMessage(FacesMessage.SEVERITY_WARN, \\\"Opss!\\\", \\\"Confirmer votre mot de passe\\\") );\\n\\t\\t\\treturn \\\"editInfo\\\";\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"953f091ca181780a64938eb2f0b553cf\",\n \"score\": \"0.5555531\",\n \"text\": \"protected Gebruiker(Parcel in) {\\n emailadres = in.readString();\\n password = in.readString();\\n telNr = in.readString();\\n naam = in.readString();\\n voornaam = in.readString();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"10b2d51e6d51d59015c03b44668a6652\",\n \"score\": \"0.55285025\",\n \"text\": \"private void jButton1ActionPerformed(java.awt.event.ActionEvent evt) {\\n String nama = NamaTextField.getText();\\n String ID = IDTextField.getText();\\n String TTL = TTLTextFIeld.getText();\\n String alamat = AlamatTextField.getText();\\n String password = PassField.getText();\\n String repass = rePassField.getText();\\n \\n if(nama.equals(\\\"\\\") || ID.equals(\\\"\\\") || alamat.equals(\\\"\\\") || password.equals(\\\"\\\") || repass.equals(\\\"\\\")){\\n JOptionPane.showMessageDialog(this, \\\"Masukkan data secara lengkap\\\", \\\"Warning\\\", JOptionPane.WARNING_MESSAGE);\\n return;\\n }else if(!password.equals(repass)){\\n JOptionPane.showMessageDialog(this, \\\"Password anda tidak cocok\\\", \\\"Warning\\\", JOptionPane.WARNING_MESSAGE);\\n return;\\n }\\n \\n for (int i = 0; i < data.getAkunList().size(); i++) {\\n if(data.getAkunList().get(i).getID().equals(ID)){\\n JOptionPane.showMessageDialog(this, \\\"Akun anda telah terdaftar\\\", \\\"Warning\\\", JOptionPane.WARNING_MESSAGE);\\n return;\\n }\\n }\\n password = enkripsi(password, password.substring(0,3));\\n String x = nama+\\\"-\\\"+TTL+\\\"-\\\"+alamat+\\\"-\\\"+ID+\\\"-\\\"+password;\\n data.getAkunList().add(new Akun(nama, TTL, alamat, ID, password));\\n \\n data.simpanRegister(x);\\n data.getAkunList().clear();\\n JOptionPane.showMessageDialog(this, \\\"Register berhasil\\\", \\\"Information\\\", JOptionPane.INFORMATION_MESSAGE);\\n \\n \\n this.dispose();\\n Login lgn = new Login();\\n lgn.setVisible(true);\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"b98855e1042e287d826fca98caa12367\",\n \"score\": \"0.55189466\",\n \"text\": \"public void accessoPrimoOSuccessivo() {\\r\\n\\t\\tif (!(dbInterface.verifyFirstAccess())) { // non è il primo accesso\\r\\n\\r\\n\\t\\t\\tloginWindow.setVisible(true);\\r\\n\\r\\n\\t\\t\\t// posizionamento della finestra LOGIN al centro dellaDESKTOPWINDOW\\r\\n\\t\\t\\tloginWindow\\r\\n\\t\\t\\t\\t\\t.setLocation((desktopPane.getSize().width - loginWindow\\r\\n\\t\\t\\t\\t\\t\\t\\t.getSize().width) / 2,\\r\\n\\t\\t\\t\\t\\t\\t\\t(desktopPane.getSize().height - loginWindow\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.getSize().height) / 2);\\r\\n\\t\\t} else { // è il primo accesso\\r\\n\\r\\n\\t\\t\\t//settiamo il modello ad una sorta di SUPERUSER che governa il primo accesso\\r\\n\\t\\t\\tactiveUser.setLevel(\\\"SueprUser - FirstAccess\\\");\\r\\n\\t\\t\\tactiveUser.setNickName(\\\"SuperUser - FirstAccess\\\");\\r\\n\\t\\t\\t\\r\\n\\t\\t\\titemLogin.setEnabled(false);\\r\\n\\r\\n\\t\\t\\tfirstEnterWindow.setVisible(true);\\r\\n\\t\\t\\tfirstEnterWindow\\r\\n\\t\\t\\t\\t\\t.setLocation(\\r\\n\\t\\t\\t\\t\\t\\t\\t(desktopPane.getSize().width - firstEnterWindow\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.getSize().width) / 2, (desktopPane\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.getSize().height - firstEnterWindow\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.getSize().height) / 2);\\r\\n\\r\\n\\t\\t}\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"29fd7fb34b840b90e72b46d5f40961bd\",\n \"score\": \"0.55149615\",\n \"text\": \"public ModificarPersona() {\\n initComponents();\\n llenarpais();\\n LlenarIdentificacion(); \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"908ba485166ee73ac28537d3d4e2d6bd\",\n \"score\": \"0.5503208\",\n \"text\": \"private void clave() {\\n clave = firmar(this.alumno.getId());\\n this.lClave.setText(\\\"Clave: \\\" + this.clave);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"028db9cb2c8a0fbf218feb9efd050c42\",\n \"score\": \"0.5496296\",\n \"text\": \"private void ordenarPoblacion() {\\n\\n\\t\\tordenarBurbuja(aptitud_individuo, weight);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"efd37bc81db54c9392c170cdb721c8a9\",\n \"score\": \"0.5449201\",\n \"text\": \"private void verificarLlave() {\\n String llave = \\\"m/4467?]K5?b}A)j=Kt\\\";\\n \\n if (llave.equals(jPasswordField1.getText())) {\\n RegistroMedico regMedico = new RegistroMedico();\\n regMedico.setVisible(true);\\n this.dispose();\\n } else {\\n JOptionPane.showMessageDialog(null, \\\"Ingrese la llave correcta.\\\");\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d7e2f343f926b793decf1088bea49c6\",\n \"score\": \"0.5431969\",\n \"text\": \"public void listaPonderable() {\\n // se llenan las listas de ponderables y no ponderables \\n this.setListasPyN();\\n Utilidades.redireccionar(\\\"/AdmisionesApp/faces/Vistas/GestionarPonderables/listaProgramasPonderables.xhtml\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ffdca0670fdbc4b0bf56a6dee62f326c\",\n \"score\": \"0.53922737\",\n \"text\": \"public void login(String username, String password){\\n Beheerder beheerder = new Beheerder();\\n try {\\n connectToDB();\\n String query = (\\\"SELECT * FROM gebruiker WHERE isactief = true and email = '\\\"+ username +\\n \\\"' and wachtwoord = '\\\" + password + \\\"'\\\");\\n resultSet = statement.executeQuery(query);\\n\\n int count = 0;\\n while(resultSet.next()){\\n beheerder.setId(resultSet.getInt(\\\"id\\\"));\\n beheerder.setVoornaam(resultSet.getString(\\\"voornaam\\\"));\\n beheerder.setAchternaam(resultSet.getString(\\\"achternaam\\\"));\\n beheerder.setAdres(resultSet.getString(\\\"adres\\\"));\\n beheerder.setPostcode(resultSet.getString(\\\"postcode\\\"));\\n beheerder.setWoonplaats(resultSet.getString(\\\"woonplaats\\\"));\\n beheerder.setTelefoon(resultSet.getString(\\\"telefoon\\\"));\\n beheerder.setEmail(resultSet.getString(\\\"email\\\"));\\n beheerder.setWachtwoord(resultSet.getString(\\\"wachtwoord\\\"));\\n beheerder.setRechten_id(resultSet.getInt(\\\"rechten_id\\\"));\\n beheerder.setActief(resultSet.getBoolean(\\\"isactief\\\"));\\n count +=1;\\n }\\n if(count == 1){\\n loginController.setBeheerder(beheerder);\\n loginController.openHoofdView();\\n }\\n else {\\n loginController.errorMessage.setVisible(true);\\n }\\n\\n } catch (SQLException e) {\\n e.printStackTrace();\\n }\\n closeConnection();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"84f8710195815434dac1f016eb48637a\",\n \"score\": \"0.5383608\",\n \"text\": \"@Override//metodo sobre escrito\\r\\n public void recibirpago() {//metodo sobrescrito donde el empleado recibe el pago\\r\\n System.out.println(\\\"Aqui el Administrador debe de implementar el metodo de recibir su pago\\\");//mensaje donde se ve ejecutada accion de recibir pago\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a3e9bfdedc455fa0adf87c2ee5345870\",\n \"score\": \"0.5358062\",\n \"text\": \"@Command\\n\\tpublic void registrarProveedor(){\\n\\t\\tinsertComponent(principal.getPage(), \\\"#mainInclude\\\", BasePackagePortal+\\\"formularioProveedor.zul\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"797dc028eaf57e9eeb0adf0999b4dea5\",\n \"score\": \"0.5356897\",\n \"text\": \"public void officerLogin(Officer officer) {\\n SharedPreferences sharedPreferences = mCtx.getSharedPreferences(SHARED_PREF_NAME, Context.MODE_PRIVATE);\\n SharedPreferences.Editor editor = sharedPreferences.edit();\\n editor.putInt(KEY_ID, officer.getId());\\n editor.putString(KEY_EMAIL, officer.getEmail());\\n editor.putString(KEY_NAME, officer.getName());\\n editor.putString(KEY_NATIONAL_ID, officer.getNational_id());\\n editor.putString(KEY_ROLE, officer.getRole());\\n editor.putString(KEY_TEL, officer.getTel());\\n editor.apply();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6e2b051d2ae663b80f2b7ab7eb409022\",\n \"score\": \"0.53555566\",\n \"text\": \"private void comformIt() {\\n\\t\\tEditor confirmEdit = pref.edit();\\n\\t\\tconfirmEdit.putString(\\\"SecureIt_PIN_Created\\\", \\\"true\\\");\\n\\t\\tconfirmEdit.commit();\\n\\t\\tIntent ourIntent = new Intent(getApplicationContext(), MainModule.class);\\n\\t\\tstartActivity(ourIntent);\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"59e5310ca700d516a8cd9913d4141614\",\n \"score\": \"0.53505516\",\n \"text\": \"@Override\\n\\tpublic void visualizzaColoreCorrente()\\n\\t{\\n\\t\\tthis.informaUser.setColore(this.getColoreGiocatoreCorrente());\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5464447b1170ddf7310d4bd851ade5e3\",\n \"score\": \"0.53490096\",\n \"text\": \"public void canviarPermisos(ActionEvent event) {\\n String id = \\\"\\\";\\n boolean accs = true;\\n\\n try {\\n TablePosition pos = (TablePosition) TbVUsers.getSelectionModel().getSelectedCells().get(0);\\n int index = pos.getRow();\\n String selected = TbVUsers.getItems().get(index).toString();\\n id = selected.substring(1, selected.indexOf(\\\",\\\"));\\n } catch (Exception e) {\\n System.out.println(\\\"Error: \\\" + e.getMessage());\\n accs = false;\\n }\\n\\n if (accs) {\\n try {\\n FXMLLoader loader = new FXMLLoader(getClass().getResource(\\\"../Scenes/PermisionsChangeScene.fxml\\\"));\\n Parent root = loader.load();\\n Stage secondStage = new Stage();\\n secondStage.setScene(new Scene(root, 560, 276));\\n secondStage.show();\\n ControllerPermisos controller = loader.getController();\\n controller.init(connection, bdAccessor, id);\\n secondStage.setOnCloseRequest(new EventHandler<WindowEvent>() {\\n @Override\\n public void handle(WindowEvent we) {\\n System.out.println(\\\"S'ha tancat Modificar permsoss\\\");\\n initiailizeTableViewUsers();\\n }\\n });\\n } catch (IOException ex) {\\n System.out.println(\\\"Error: \\\" + ex.getMessage());\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"20c1ca50ffaea98685a1cc06a1bc1429\",\n \"score\": \"0.5342272\",\n \"text\": \"private void ecrireDisponibiliteEtudiant() {\\n\\n utilitaireCellule.ecrireChaine(new CoordonneesCelulle(\\\"C\\\", 5), \\\"Disponibilite / etudiant\\\", new StyleCellule());\\n\\n ArrayList<Periode> maListe = maquetteComplete.getPlanning().getPeriodeListe();\\n\\n CoordonneesCelulle coinSuperieur = new CoordonneesCelulle(\\\"J\\\", 5);\\n CoordonneesCelulle coinInferieur = new CoordonneesCelulle(coinSuperieur.getX() + PAS, coinSuperieur.getY() + 1);\\n String formule;\\n\\n for (Periode actuelle : maListe) {\\n\\n if (!actuelle.getVacance()) {\\n formule = coinSuperieur.getxEnChaine() + (coinSuperieur.getY() + 2) + \\\"*\\\" + 2;\\n utilitairePlageCellule.ecrireFormuleDonnantNombre(coinSuperieur, coinInferieur, formule, new StyleCellule());\\n }\\n coinSuperieur.setX(coinInferieur.getX() + 2);\\n coinInferieur.setX(coinSuperieur.getX() + PAS);\\n\\n for (int jcpt = 0; jcpt < actuelle.getNombreSemaineScolaire() - 1; jcpt++) {\\n if (!actuelle.getVacance()) {\\n formule = coinSuperieur.getxEnChaine() + (coinSuperieur.getY() + 2) + \\\"*\\\" + 2;\\n utilitairePlageCellule.ecrireFormuleDonnantNombre(coinSuperieur, coinInferieur, formule, new StyleCellule());\\n\\n }\\n coinSuperieur.setX(coinInferieur.getX() + 2);\\n coinInferieur.setX(coinSuperieur.getX() + PAS);\\n }\\n\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2f54e621756bfe6048e5a44de4b3b6c2\",\n \"score\": \"0.5333624\",\n \"text\": \"public void setEraikinekoPertsonKop() {\\r\\n\\t\\tint kop = 0;\\r\\n\\t\\ttry {\\r\\n\\t\\t\\tkop = urrunekoKud.getEraikinekoPertsonKop();\\r\\n\\t\\t} catch (RemoteException e) {\\r\\n\\t\\t\\tnew MezuLeiho(\\\"REMOTE\\\");\\r\\n\\t\\t\\te.printStackTrace();\\r\\n\\t\\t} catch (IllegalStateException e) {\\r\\n\\t\\t\\tnew MezuLeiho(\\\"DB\\\");\\r\\n\\t\\t\\te.printStackTrace();\\r\\n\\t\\t} catch (SQLException e) {\\r\\n\\t\\t\\tnew MezuLeiho(\\\"SQL\\\",\\r\\n\\t\\t\\t\\t\\t\\\"Ezin da jakin zenbat pertsona dauden eraikinean\\\");\\r\\n\\t\\t\\te.printStackTrace();\\r\\n\\t\\t}\\r\\n\\t\\tjLabel.setText(\\\"Eraikinean dauden pertsonen kopurua: \\\" + kop);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"78b32187531118a774ee234c864f5a50\",\n \"score\": \"0.5330276\",\n \"text\": \"public VueAccueilCommercial(User p) {\\n this.personne = p;\\n \\n // dimensions de la vue\\n this.setPreferredSize(new Dimension(500, 500));\\n \\n // ajout des componsants\\n initComponents();\\n \\n // on remplace le texte sur label en ajoutant le nom et prénom du commercial\\n labelBienvenue.setText(\\\"Bienvenue \\\" + this.personne.getPrenom() + \\\" \\\" + this.personne.getNom());\\n \\n // ajout des listener\\n labelDeco.addMouseListener(new Ecouteur());\\n labelChangeMdp.addMouseListener(new Ecouteur());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2044bee4a66ef2fe7781e90d32307c8f\",\n \"score\": \"0.53274345\",\n \"text\": \"public void recogerPasajero() {\\n if (this.isEnMarcha() == false && this.isSegurosActivados() == false && this.getnPasajeros() == 0) {\\n this.setnPasajeros(1); //Se escribe el numero de pasajeros a 1, pues se considera solo 1 persona por cada viaje (Asi viajen 5 personas, solo se considera 1).\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"639ee7178740123309b43a936c4700e9\",\n \"score\": \"0.53181523\",\n \"text\": \"private void invitar(){\\n //Actualiza lista de invitados\\n fm.CrearGestorVisitante();\\n //Comprueba si algun campo esta vacio\\n if(this.txtDni.getText().equals(\\\"\\\") || this.txtSurname.getText().equals(\\\"\\\") || this.txtName.getText().equals(\\\"\\\")){\\n this.lblAdv.setText(\\\"Uno de los campos esta vacio\\\");\\n return;\\n }\\n //Comprueba si el DNI es valido\\n if(this.txtDni.getText().length()!=8){\\n //Dni no es valido\\n this.lblAdv.setText(\\\"DNI ingresado no es valido\\\");\\n return;\\n }\\n //Comprueba si hay algun invitado esperado de mismo DNI del mismo propietario\\n for (Visitante v:fm.getGestorVisitante().getVisitantesEsperadosEntrada()){\\n //Conseguir el objeto Propietario del Visitante\\n Propietario prop = null;\\n for(Propietario p :fm.getGestorPropietario().getPropietarios()){\\n if(p.getIdPropietario() == v.getIdProp()){\\n prop = p;\\n }\\n }\\n if(v.getDNI().equals(this.txtDni.getText()) && prop.getIdPropietario() == this.propietario.getIdPropietario()){\\n System.out.println(\\\"Este Propietario ya invito a este visitante\\\");\\n this.lblAdv.setText(\\\"Visitante ya invitado\\\");\\n return;\\n }\\n }\\n /*\\n //Comprueba si hay algun invitado dentro del barrio (Esperados Salida) de mismo DNI\\n for(Visitante v:fm.getGestorVisitante().getVisitantesEsperadosSalida()){\\n if(v.getDNI().equals(this.txtDni.getText())){\\n System.out.println(\\\"Este invitado ya esta adentro del barrio o no ha documentado su salida\\\");\\n return;\\n }\\n }\\n */\\n //Crea Invitado\\n int idVisitante = fm.getUltimoIdVisitante() + 1;\\n Visitante visi = new Visitante(idVisitante,this.propietario,this.txtName.getText(),this.txtSurname.getText(),this.txtDni.getText());\\n fm.getGestorVisitante().addVisitanteEsperadoEntrada(visi);\\n //Guarda Cambios\\n fm.guardarObjeto(\\\"gestorVisitantes\\\");\\n System.out.println(\\\"Nuevo invitado: \\\" + visi);\\n //Borra texto\\n this.txtDni.setText(\\\"\\\");\\n this.txtName.setText(\\\"\\\");\\n this.txtSurname.setText(\\\"\\\");\\n //Esconde ventana y pasa a la siguiente\\n this.setVisible(false);\\n InvitadoExitoso invitadoExitoso = new InvitadoExitoso(visi,this);\\n invitadoExitoso.show();\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f620c1db1da58b44f31126a21df87a8c\",\n \"score\": \"0.53161436\",\n \"text\": \"public void clicSurBoutonGauche()\\n// le clic dans la ZML exécutera le code de clic de ce bouton\\n// A Faire : Ajoutez le code sur le clic de ce bouton\\n// Info(\\\"clic sur \\\"+MoiMême..Nom)\\n{\\nsuper.clicSurBoutonGauche();\\n\\n// ouvre(FEN_Login)\\nWDAPIFenetre.ouvre(GWDPGruppeto.getInstance().mWD_FEN_Login);\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6262b8a8dd5b2040a8a79d5b3993d0dc\",\n \"score\": \"0.5313865\",\n \"text\": \"public cruces_activos_amenazas() {\\n// int id_Activo1 = id_Activo;\\n initComponents();\\n this.setLocationRelativeTo(null);\\n llenartabla_amenaza();\\n guardar_cruces();\\n \\n// llenar_amenaza(); \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"124c9cde2efca65792166c3869990b77\",\n \"score\": \"0.5310619\",\n \"text\": \"public FromKhach() {\\n initComponents();\\n this.setLocationRelativeTo(null);\\n thisUser.Guest=true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0fffb7a6ebee22078a0fea0634fb6639\",\n \"score\": \"0.53025407\",\n \"text\": \"@Override\\n\\tpublic void Procesador() {\\n\\t\\tSystem.out.println(\\\"El ordenador tiene procesador\\\");\\n\\t\\t\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3d9337cb016b86fa68ddbeade6d17f13\",\n \"score\": \"0.5298083\",\n \"text\": \"private void ecrireCreneauUtilise() {\\n\\n CoordonneesCelulle partieStatique = new CoordonneesCelulle(\\\"C\\\", 7);\\n utilitaireCellule.ecrireChaine(partieStatique, \\\"Crenaux Utilises\\\", new StyleCellule());\\n String formule;\\n\\n ArrayList<Periode> maListe = maquetteComplete.getPlanning().getPeriodeListe();\\n\\n CoordonneesCelulle coinSuperieur = new CoordonneesCelulle(\\\"J\\\", 7);\\n CoordonneesCelulle coinInferieur = new CoordonneesCelulle(coinSuperieur.getX() + PAS, coinSuperieur.getY() + 1);\\n CoordonneesCelulle curseurFormule = new CoordonneesCelulle(\\\"J\\\", 10);\\n\\n for (Periode actuelle : maListe) {\\n if (!actuelle.getVacance()) {\\n formule = \\\"ROUNDUP(\\\" + curseurFormule.getxEnChaine() + \\\"\\\" + (curseurFormule.getY() + 1) + \\\"/\\\" + maquetteComplete.getDureCreneau() + \\\",0)+\\\";\\n curseurFormule.setX(curseurFormule.getX() + 2);\\n formule += \\\"ROUNDUP(\\\" + curseurFormule.getxEnChaine() + \\\"\\\" + (curseurFormule.getY() + 1) + \\\"/\\\" + maquetteComplete.getDureCreneau() + \\\",0)+\\\";\\n curseurFormule.setX(curseurFormule.getX() + 2);\\n formule += \\\"ROUNDUP(\\\" + curseurFormule.getxEnChaine() + \\\"\\\" + (curseurFormule.getY() + 1) + \\\"/\\\" + maquetteComplete.getDureCreneau() + \\\",0)\\\";\\n utilitairePlageCellule.ecrireFormuleDonnantNombre(coinSuperieur, coinInferieur, formule, new StyleCellule());\\n curseurFormule.setX(curseurFormule.getX() + 2);\\n } else {\\n curseurFormule.setX(curseurFormule.getX() + PAS+1);\\n }\\n coinSuperieur.setX(coinInferieur.getX() + 2);\\n coinInferieur.setX(coinSuperieur.getX() + PAS);\\n\\n for (int jcpt = 0; jcpt < actuelle.getNombreSemaineScolaire() - 1; jcpt++) {\\n if (!actuelle.getVacance()) {\\n formule = \\\"ROUNDUP(\\\" + curseurFormule.getxEnChaine() + \\\"\\\" + (curseurFormule.getY() + 1) + \\\"/\\\" + maquetteComplete.getDureCreneau() + \\\",0)+\\\";\\n curseurFormule.setX(curseurFormule.getX() + 2);\\n formule += \\\"ROUNDUP(\\\" + curseurFormule.getxEnChaine() + \\\"\\\" + (curseurFormule.getY() + 1) + \\\"/\\\" + maquetteComplete.getDureCreneau() + \\\",0)+\\\";\\n curseurFormule.setX(curseurFormule.getX() + 2);\\n formule += \\\"ROUNDUP(\\\" + curseurFormule.getxEnChaine() + \\\"\\\" + (curseurFormule.getY() + 1) + \\\"/\\\" + maquetteComplete.getDureCreneau() + \\\",0)\\\";\\n curseurFormule.setX(curseurFormule.getX() + 2);\\n utilitairePlageCellule.ecrireFormuleDonnantNombre(coinSuperieur, coinInferieur, formule, new StyleCellule());\\n } else {\\n curseurFormule.setX(curseurFormule.getX() + PAS+1);\\n }\\n coinSuperieur.setX(coinInferieur.getX() + 2);\\n coinInferieur.setX(coinSuperieur.getX() + PAS);\\n\\n }\\n\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"4904a4691523f8081e4f6733718cf06d\",\n \"score\": \"0.5288668\",\n \"text\": \"public void embarquement() {\\r\\n\\t\\tfor (int i=0; i<equipe.getListePersos().size(); i++) {\\r\\n\\t\\t\\tgetPersoDansNavire().add(equipe.getListePersos().get(i));\\r\\n\\t\\t\\tequipe.getListePersos().get(i).setX(this.x);\\r\\n\\t\\t\\tequipe.getListePersos().get(i).setY(this.y);\\r\\n\\t\\t}\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"9286c77258f8d7467e945aa6d168e8ef\",\n \"score\": \"0.5277746\",\n \"text\": \"public void syncWebloketMedewerkersRol() {\\n \\r\\n log.info(\\\"start syncWebloketMedewerkersRol\\\");\\r\\n \\r\\n List<Map> medewerkersRollen = ovamcore_sqlSession.selectList(\\\"medewerkersrol_actief_alle\\\");\\r\\n \\r\\n if (medewerkersRollen.isEmpty()) {\\r\\n throw new RuntimeException(\\\"Geen wedewerkersRollen gevonden in ovamcore\\\");\\r\\n }\\r\\n \\r\\n sql.delete(\\\"delete_all_medewerkersrollen\\\");\\r\\n \\r\\n for (Map medewerkersRol : medewerkersRollen) {\\r\\n sql.insertInTable(\\\"art46\\\", \\\"webloket_medewerkersrol\\\", medewerkersRol);\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e12a32a73178d71d8bc740d97980c6b2\",\n \"score\": \"0.5273466\",\n \"text\": \"public void listaPasajeros() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"728c7b2c0b83ac691bde3e2abc944506\",\n \"score\": \"0.5269039\",\n \"text\": \"@Override\\n\\t\\t\\tpublic void mouseClicked(MouseEvent arg0) {\\n\\t\\t \\n\\t\\t\\t\\tJOptionPane.showMessageDialog(null,\\\"Aplikasi Kalkulator Sederhana \\\\n\\\"\\n\\t\\t\\t\\t\\t\\t+ \\\" Dilengkapi Password, buatan Rian Irawan Hariadi (www.rianhariadi.com)\\\");\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0960dd88d645722f47a2e16d6607440c\",\n \"score\": \"0.52648604\",\n \"text\": \"public void PlantillasModoNoPrivilegiados(){}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"79ddd10042622ba64a8f85d039e0c9c7\",\n \"score\": \"0.5264214\",\n \"text\": \"public void NuevoPlantillasModoPrivilegiado(){}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"38eaba2a495ffda21fd10850e73e7d58\",\n \"score\": \"0.52624327\",\n \"text\": \"@Override\\r\\n\\tpublic void identificarse() {\\n\\t\\tSystem.out.println(String.format(\\\"%d: %s, %s\\\", codigoEmpleado, this.getApellido(), this.getNombre()));\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d696b1b051eb907c421d7a2f465f1a30\",\n \"score\": \"0.5251854\",\n \"text\": \"public void comerPika()\\n //ESTE METODO HACE QUE SE COMA A PIKACHU\\n {\\n Actor pika= getOneObjectAtOffset(0, 0, pikachu.class);\\n //INICIALIZACION DE CONEXION CON EL MUNDO\\n World mundo= getWorld();\\n if(pika!=null)\\n /**\\n CONDICION:\\n SI ESTA TOCANDO A PIKACHU\\n ACCION:\\n ACTUALICE EL PUNTAJE, SUME EL CONTADOR DE PIKACHUS Y ELIMINE\\n A ESE PIKACHU\\n */\\n {\\n Nivel1 nv = (Nivel1)getWorld();\\n nv.actualizarPuntaje();\\n getWorld().removeObject(pika);\\n contadorPikas++;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f82147e65346c59b7a7ae9bd325d030c\",\n \"score\": \"0.5249238\",\n \"text\": \"private void riempimentoForm() {\\n\\t\\tSharedPreferences pref = getSharedPreferences(\\\"CARPOOLING\\\", MODE_PRIVATE);\\n\\t\\tString user = pref.getString(\\\"username\\\", \\\"-1\\\");\\n\\t\\tString pass = pref.getString(\\\"password\\\", \\\"-1\\\");\\n\\t\\tint check = pref.getInt(\\\"checked\\\", -1);\\n\\t\\tif(check==0)\\n\\t\\t\\tricordami.setChecked(false);\\n\\t\\tif(check==1)\\n\\t\\t\\tricordami.setChecked(true);\\n\\t\\tif(!user.equalsIgnoreCase(\\\"-1\\\") || !pass.equalsIgnoreCase(\\\"-1\\\")){\\n\\t\\t\\tusername.setText(user);\\n\\t\\t\\tpassword.setText(pass);\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"05dbb1965cacf069df23ab1c5aeaeafb\",\n \"score\": \"0.5244992\",\n \"text\": \"public Login() {\\n initComponents();\\n \\n role.add(rdDriver);\\n role.add(rdStaffKantor);\\n \\n rdStaffKantor.setSelected(true);\\n this.setResizable(false);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"20673ab42713d3abb42a7ebed1f32fc2\",\n \"score\": \"0.5244819\",\n \"text\": \"public void registrarJugador(){\\r\\n contPrin.crearControladorRegistro(visNuePar);\\r\\n contPrin.getContReg().mostrarVistaRegistro();\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c56eadc295a74f96adb01ffbb79e3df4\",\n \"score\": \"0.52433825\",\n \"text\": \"@Override\\n public void run(){\\n LugarBanco lB = new LugarBanco();\\n lB.atualizarLugar(id_lugar, id_locatario, Principal.RESERVADO);\\n \\n // mas quer-se avisar a ele que foi confirmada\\n lB = new LugarBanco();\\n Lugar lugar = lB.getLugarWhere(id_lugar);\\n \\n // pode acontecer de o admin conseguir chamar a função checkout ou do usuário conseguir clicar duas vezes consecutivas muito rápido. resulta em NullPointerException se isso acontecer\\n if(lugar.getLocatario() != null)\\n enviarMensagem(controlador, lugar.getLocatario().getId(), \\\"Pedido de reserva\\\", \\\"Seu pedido de reserva foi confirmado.\\\");\\n \\n // atualiza\\n getAgendamentos(controlador);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"37a0bada9194dc1b7103fad09787f7d9\",\n \"score\": \"0.52387977\",\n \"text\": \"private void AllowAccessToAccount(final String username, final String password) {\\n\\n if(chkBoxRememberMe.isChecked())\\n {\\n Paper.book().write(Prevalent.usernamekey, username);\\n Paper.book().write(Prevalent.userpasswordkey, password);\\n }\\n\\n // initialize database reference\\n final DatabaseReference rootRef;\\n rootRef = FirebaseDatabase.getInstance().getReference();\\n\\n rootRef.addListenerForSingleValueEvent(new ValueEventListener() {\\n @Override\\n public void onDataChange(@NonNull DataSnapshot dataSnapshot) {\\n // user already registered?\\n if (dataSnapshot.child(parentDbName).child(username).exists()) {\\n // save user\\n Users userData = dataSnapshot.child(parentDbName).child(username).getValue(Users.class);\\n System.out.println(dataSnapshot.child(parentDbName).child(username).getValue(Users.class));\\n\\n // log attributes of user\\n System.out.println(\\\"Username: \\\" + userData.getName());\\n System.out.println(\\\"Password: \\\" + userData.getPassword());\\n System.out.println(\\\"EMail: \\\" + userData.getEmail());\\n System.out.println(\\\"City: \\\" + userData.getCity());\\n System.out.println(\\\"Postcode: \\\" + userData.getPostcode());\\n\\n System.out.println(\\\"Username: \\\" + username);\\n if (userData.getName().equals(username)) {\\n System.out.println(\\\"Success!\\\");\\n // entered pw equals pw in database\\n if (userData.getPassword().equals(password)) {\\n Toast.makeText(LoginActivity.this, \\\"Logged in successfully\\\", Toast.LENGTH_SHORT).show();\\n\\n loadingBar.dismiss();\\n\\n Intent intent = new Intent(LoginActivity.this, MainChooseActivity.class);\\n\\n System.out.println(Prevalent.currentUser);\\n Prevalent.currentUser = userData;\\n System.out.println(Prevalent.currentUser.getName());\\n\\n startActivity(intent);\\n } else {\\n Toast.makeText(LoginActivity.this, \\\"Your password is wrong, please try again\\\", Toast.LENGTH_SHORT).show();\\n loadingBar.dismiss();\\n }\\n }\\n\\n } else {\\n // username doesn't exist\\n Toast.makeText(LoginActivity.this, \\\"An account with this \\\" + username + \\\" doesn't exist\\\", Toast.LENGTH_SHORT).show();\\n loadingBar.dismiss();\\n }\\n\\n }\\n\\n @Override\\n public void onCancelled(@NonNull DatabaseError databaseError) {\\n\\n }\\n });\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e8cc3b2ba4d3bcb54a0f00121060a0d3\",\n \"score\": \"0.52368766\",\n \"text\": \"public ClRiesClien(EntornoUsuario eu, Principal p)\\n {\\n EU = eu;\\n vl = p.panel1;\\n jf = p;\\n eje = true;\\n\\n setTitulo(\\\"Cons./List. Documentos Pend. Cobro Clientes\\\");\\n\\n try\\n {\\n if (jf.gestor.apuntar(this))\\n jbInit();\\n else\\n setErrorInit(true);\\n }\\n catch (Exception e)\\n {\\n ErrorInit(e);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c5b4128498fa1e98296efc4dd0837cc4\",\n \"score\": \"0.5235398\",\n \"text\": \"@Override public void notifica(){\\n\\tthis.realizarRecomendacion();\\n\\tthis.actualizaMesesClientes();\\n\\t//Para cada cliente, si puede hacer el cobro, lo realiza, si no, lo agrega a exclientes\\n\\tfor(Cliente cliente: this.clientesActivos){\\n\\t this.cobrar(cliente);\\n\\t System.out.println(cliente.persona.nombre + \\\" lleva usando memeflix por: \\\" + cliente.meses + \\\" meses\\\" );\\n\\t}\\n\\tfor(Cliente cliente: this.exClientes){\\n\\t if(this.clientesActivos.contains(cliente)) this.clientesActivos.remove(cliente);\\n\\t}\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8680fca8142ac412900bd392304d37e0\",\n \"score\": \"0.5234576\",\n \"text\": \"private void Login() {\\n if (!jTextFieldEmail.getText().equals(\\\"\\\") && !jPasswordFieldPass.getText().equals(\\\"\\\")) {\\n if (jComboBoxNameInventory.getItemCount() != 0) {\\n if (new Validation().checkEmail(jTextFieldEmail.getText())) {\\n if (new Validation().checkPass(jPasswordFieldPass.getText())) {\\n Admin c = new Admin();\\n if (c.LogIn(jTextFieldEmail.getText(), jPasswordFieldPass.getText())) {\\n EnableComponant();\\n jLabelSuccessOrFail.setText(\\\"Founded Admin ;)\\\");\\n } else {\\n jLabelSuccessOrFail.setText(\\\"Not Found Admin :(\\\");\\n JOptionPane.showMessageDialog(null, \\\"Not Found Admin Try Again :(\\\");\\n }\\n\\n } else {\\n JOptionPane.showMessageDialog(null, \\\"Not valid Password length ,Should it Length\\\\nis more than 6 OR Password has (*,/,=,+,...)\\\\n Try Again :(\\\");\\n }\\n } else {\\n JOptionPane.showMessageDialog(null, \\\"Not valid Email Try Again :(\\\");\\n }\\n\\n } else {\\n jLabelSuccessOrFail.setText(\\\"Not Exsit Inventory in System :(\\\");\\n JOptionPane.showMessageDialog(null, \\\"Not Exsit Inventory in System Try Again :(\\\");\\n }\\n } else {\\n jLabelSuccessOrFail.setText(\\\"Missing Required Fields ... ! Please, complete them before submit ...! :(\\\");\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"de369dbb50106ab0c1137ff5e3f3ab36\",\n \"score\": \"0.52341264\",\n \"text\": \"public void selectBeheerder(){\\n String query = (\\\"SELECT * FROM gebruiker WHERE isactief = true ORDER BY id\\\");\\n setBeheerderGegevens(query);\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8db665dfc23454dcfd2c646b6e6f952a\",\n \"score\": \"0.52243847\",\n \"text\": \"public void cambiarDePieza() {\\n piezaActiva = bolsa.sacarPieza();\\n puedeCambiar = true;\\n Posicion posicionAux = new Posicion(20, 3);\\n if (piezaActiva.puedeMoverse(posicionAux)) {\\n piezaActiva.asignarPosicion(posicionAux);\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"57c033b4e248473d46eb9da523f1e961\",\n \"score\": \"0.5219974\",\n \"text\": \"private void verEntrada(JTable table) {\\n int row = table.getSelectedRow();\\n if (row >= 0) {\\n \\n Pan_VerEntradaSalida panelVerMovimientoEntradaSalida = \\n new Pan_VerEntradaSalida(Pan_VerEntradaSalida.ENTRADA_CALL);\\n \\n //-----------------INTERFAZ----------------------\\n JF_Inventario.getInstance().getPanelManager().showPanel(\\n panelVerMovimientoEntradaSalida, 800, 471, 0, 0);\\n JF_Inventario.getInstance().setEnableTabs(false);\\n //-----------------------------------------------------\\n \\n Modelo_Facturacion model = (Modelo_Facturacion) table.getModel();\\n panelVerMovimientoEntradaSalida.jLabel_NumerodeMovimiento.setText(model.getValueAt(row, 0).toString());\\n panelVerMovimientoEntradaSalida.personalizarTablaVerMovimiento();\\n } else {\\n JOptionPane.showMessageDialog(\\n null,\\n \\\"No se selecciono ninguna entrada de mercaderia\\\",\\n \\\"Alert!\\\", JOptionPane.ERROR_MESSAGE);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"aec22aad335850b5411c882d41717bcb\",\n \"score\": \"0.5219659\",\n \"text\": \"public VentanaLogin() {\\n initComponents();\\n this.setLocationRelativeTo(null);\\n setTitle(\\\"Legráfica - Gestión de Proyectos\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"caaea58931563b5a25ebb405d210c66f\",\n \"score\": \"0.52195656\",\n \"text\": \"public void sauverClient() {\\n\\t\\tlog.info(\\\"-----------------------------------------------------------\\\");\\n\\t\\tlog.info(\\\"Entrée dans la méthode sauverClient()\\\");\\n\\t\\tlog.info(\\\"-----------------------------------------------------------\\\");\\n\\t\\tlog.info(\\\"clientCourant.getUtilisateurid() vaut : \\\" + clientCourant.getUtilisateurid());\\n\\t\\t utilisateurDAO.sauver(clientCourant);\\n\\t\\t FacesContext context = FacesContext.getCurrentInstance();\\n\\t\\t context.addMessage(null, new FacesMessage(FacesMessage.SEVERITY_INFO, \\\"Succès -\\\", \\\"Opération effectuée avec succès !\\\"));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"81c5333c692ddb653e9897c6e6a7497a\",\n \"score\": \"0.52055496\",\n \"text\": \"public void ingresaAdministrativoCreditoVivienda() {\\n\\tEstableceDatosAdministrativos();\\n\\tint cambio=0;\\n\\tdo {\\n\\t\\tdo {\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tsetTotalCredito(Long.parseLong(JOptionPane.showInputDialog(\\\"Ingrese el monto del credito (de �20 000 000 a �81 000 000 )\\\")));\\n\\t\\t\\t\\tcambio=1;\\n\\t\\t\\t\\tif(getTotalCredito()<20000000||getTotalCredito()>81000000) {\\n\\t\\t\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"El monto debe ir de �20 000 000 a �81 000 000\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"Ingrese solo numeros\\\");\\n\\t\\t\\tcambio=0;\\n\\t\\t}\\n\\t} while (cambio==0);\\n\\t}while(getTotalCredito()<20000000||getTotalCredito()>81000000);\\n\\t\\n\\tsetInteres(16);\\n\\tdo {\\n\\t\\tdo {\\n\\t\\t\\ttry {\\n\\t\\t\\t\\tsetPlazo(Integer.parseInt(JOptionPane.showInputDialog(\\\"Ingresa el plazo (Debe estar entre 144 y 360 meses)\\\")));\\n\\t\\t\\t\\tcambio=1;\\n\\t\\t\\t\\tif(getPlazo()<144||getPlazo()>360) {\\n\\t\\t\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"El plazo debe estar entre 144 y 360 meses\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"Ingrese solo numeros\\\");\\n\\t\\t\\tcambio=0;\\n\\t\\t}\\n\\t} while (cambio==0);\\n\\t}while(getPlazo()<144||getPlazo()>360);\\n\\tsetCuotaPagar(calculoCuotaVivienda());\\n\\testableceVivienda();\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"5379a2ea8c763cf5db74d495c03d284d\",\n \"score\": \"0.5190694\",\n \"text\": \"@Override\\n\\t\\tpublic void actionPerformed(ActionEvent e) {\\n\\t\\t\\tif((passwordTF.getText().equals(\\\"\\\")) || (nameTF.getText().equals(\\\"\\\")) || (birthDayTF.getText().equals(\\\"\\\")) || (addressTF.getText().equals(\\\"\\\")) || (emailTF.getText().equals(\\\"\\\"))){\\n\\t\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"빈칸을 채워주세요!!\\\");\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tMemberInformation changeMemberInformation = new MemberInformation();\\n\\t\\t\\t\\tchangeMemberInformation = (MemberInformation) nowHash.get(nowId);\\n\\t\\t\\t\\tchangeMemberInformation.setPassword(passwordTF.getText());\\n\\t\\t\\t\\tchangeMemberInformation.setName(nameTF.getText());\\n\\t\\t\\t\\tchangeMemberInformation.setBirthDay(birthDayTF.getText());\\n\\t\\t\\t\\tchangeMemberInformation.setAddress(addressTF.getText());\\n\\t\\t\\t\\tchangeMemberInformation.setEmail(emailTF.getText());\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tnowHash.put(nowId, changeMemberInformation);\\n\\t\\t\\t\\texcelArray.set(nowIndex, nowHash);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tUpdateExcel updateExcel = new UpdateExcel(excelArray);\\n\\t\\t\\t\\tupdateExcel.update();\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"회원정보가 변경되었습니다.프로그램을 다시 시작해주세요\\\");\\n\\t\\t\\t\\tSystem.exit(0);\\n\\t\\t\\t}\\n\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a284af2d9588119018698412fd56fb38\",\n \"score\": \"0.5188974\",\n \"text\": \"public void login(TextField tfLogin, PasswordField pfPassword, Label lblInfo) {\\n Optional<User> userOpt = loginUser(tfLogin.getText(), pfPassword.getText());\\n if (userOpt.isPresent()) {\\n if (userOpt.get().isStatus()) {\\n try {\\n // obiekt aktualnie zalogowanego uzytkownika\\n loggedUser = userOpt.get();\\n // -----------------------------------------\\n lblInfo.setText(\\\"zalogowano\\\");\\n WindowService windowService = new WindowService();\\n // utworzenie okna Pizza Portal\\n windowService.createWindow(\\\"pizzaPortalView\\\", \\\"Pizza Portal\\\");\\n // zamkniecie aktualnego okna\\n windowService.closeWindow(lblInfo);\\n clearLoginProbes(userOpt.get());\\n FileService.updateUsers();\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n } else {\\n lblInfo.setText(\\\"Twoje konto jest zablokowane\\\");\\n }\\n } else {\\n// lblInfo.setText(\\\"błąd logowania\\\");\\n decrementProbes(tfLogin.getText());\\n lblInfo.setText(getLoginProbes(tfLogin.getText()));\\n try {\\n FileService.updateUsers();\\n } catch (IOException e) {\\n e.printStackTrace();\\n }\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e9ab4e32f1c26ede11e81bf4648e7678\",\n \"score\": \"0.51887965\",\n \"text\": \"public void limpiar() {\\n String rols = menu.getRol();\\n if (rols.equals(\\\"Director técnico\\\")) {\\n guardar.setEnabled(false);\\n modificar.setEnabled(false);\\n } else if (rols.equals(\\\"Líder de calidad\\\")) {\\n guardar.setEnabled(true);\\n modificar.setEnabled(true);\\n } else if (rols.equals(\\\"Analista\\\")) {\\n guardar.setEnabled(false);\\n modificar.setEnabled(false);\\n } else {\\n guardar.setEnabled(false);\\n modificar.setEnabled(false);\\n }\\n ident = menu.getIdent();\\n combo();\\n grupo.clearSelection();\\n numregist.enable(true);\\n numreporte.enable(true);\\n numregist.setText(\\\"\\\");\\n empresa.setText(\\\"\\\");\\n nitóCC.setText(\\\"\\\");\\n solicitante.setText(\\\"\\\");\\n cargo.setText(\\\"\\\");\\n direccion.setText(\\\"\\\");\\n telefono.setText(\\\"\\\");\\n municipio.setText(\\\"\\\");\\n email.setText(\\\"\\\");\\n areaEv.setText(\\\"\\\");\\n vereda.setText(\\\"\\\");\\n codMuestr.setText(\\\"\\\");\\n puntoMus.setText(\\\"\\\");\\n horaRecolec.setText(\\\"\\\");\\n tipoM.setText(\\\"\\\");\\n volumM.setText(\\\"\\\");\\n analis.setText(\\\"\\\");\\n observacionMuestra.setText(\\\"\\\");\\n responsable_toma.setText(\\\"\\\");\\n mediorecepc.setText(\\\"\\\");\\n horaRecepcion.setText(\\\"\\\");\\n numMus.setText(\\\"\\\");\\n preservacion.setText(\\\"\\\");\\n descripcion.setText(\\\"\\\");\\n obsAdicional.setText(\\\"\\\");\\n totalMuestra.setText(\\\"\\\");\\n numcustod.setText(\\\"\\\");\\n numreferencia.setText(\\\"\\\");\\n medioEn.setText(\\\"\\\");\\n estadoCuen.setText(\\\"\\\");\\n obs.setText(\\\"\\\");\\n reciboRepor.setText(\\\"\\\");\\n numreporte.setText(\\\"\\\");\\n cargolabo.setText(\\\"\\\");\\n recibio_Muest.setText(\\\"\\\");\\n entrega_reporte.setText(\\\"\\\");\\n \\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"62e927aa3cb058be78d0a4fc274624bf\",\n \"score\": \"0.51851827\",\n \"text\": \"public void buscaLogin() {\\n //RequestContext context = RequestContext.getCurrentInstance();\\n habilitado = 0;\\n FacesMessage msg = null;\\n //logeado = consumidor();\\n List<Object[]> SisUsuariosLogin = sisusuarios.SisUsuariosLogin(usuario, contrasena);\\n if (SisUsuariosLogin.size() > 0) {\\n logeado = true;\\n for (Object[] val : SisUsuariosLogin) {\\n Role = (int) val[2];\\n habilitado = (int) val[5];\\n idUsuario = (int) val[6];\\n }\\n\\n }\\n\\n msg = new FacesMessage(FacesMessage.SEVERITY_INFO, \\\"Bienvenido Al Sistema \\\\n\\\" + \\\"\\\\n\\\" + usuario, \\\"\\\");\\n if (logeado) {\\n logeado = true;\\n\\n } else {\\n logeado = false;\\n msg = new FacesMessage(FacesMessage.SEVERITY_WARN, \\\"Usuario ó Contraseña Incorrectas\\\", \\\" \\\");\\n }\\n FacesContext.getCurrentInstance().addMessage(null, msg);\\n\\n PrimeFaces.current().ajax().addCallbackParam(\\\"estaLogeado\\\", logeado);\\n if (habilitado == 1 && logeado) {\\n if (logeado) {\\n FacesContext.getCurrentInstance().getExternalContext().getSessionMap().put(\\\"usuario\\\", usuario);\\n FacesContext.getCurrentInstance().getExternalContext().getSessionMap().put(\\\"idUsuario\\\", idUsuario);\\n\\n Compilacion config = new Compilacion();\\n config.getDirecCompile();\\n GeneraMenus();\\n if (Role == 1) {\\n\\n PrimeFaces.current().ajax().addCallbackParam(\\\"view\\\", config.getDirecCompile() + \\\"/TeleSisQCI/umg/indexPaciente.xhtml\\\");\\n }\\n if (Role == 2) {\\n\\n PrimeFaces.current().ajax().addCallbackParam(\\\"view\\\", config.getDirecCompile() + \\\"/TeleSisQCI/umg/indexDoctor.xhtml\\\");\\n }\\n setEstaLogueado(true);\\n this.titulo = \\\" \\\";\\n }\\n }\\n if (logeado && habilitado == 0) {\\n msg = new FacesMessage(FacesMessage.SEVERITY_WARN, \\\"Usuario deshabilitado\\\", \\\" \\\");\\n FacesContext.getCurrentInstance().addMessage(null, msg);\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8d6a026eaadee101dbccb0dbd3816ffe\",\n \"score\": \"0.518411\",\n \"text\": \"@Override\\r\\n public void asignarPermisos() {\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"d8162ab3d7972203678a47a9ce3f83a8\",\n \"score\": \"0.5181766\",\n \"text\": \"public void loginUser(MouseEvent mouseEvent) throws Exception{\\n\\n // Traverse through use\\n for(User user : people){\\n if(loginUsernameField.getText().equals(user.userName) && loginpPasswordField.getText().equals(user.password)) {\\n loadMain(user);\\n }\\n else{\\n loginPrompt.setVisible(true);\\n }\\n }\\n\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fe87ce05a20bb1660c6a8a47161bf826\",\n \"score\": \"0.51773053\",\n \"text\": \"@Override\\r\\n public void salvarModificacao() {\\n ((PessoaFisico) atual).setDocumento(new Integer(((AbsViewCadastroPessoa) cadastro).getjTextFieldDocumento().getText()));\\r\\n ((PessoaFisico) atual).setNome(((AbsViewCadastroPessoa) cadastro).getjTextFieldNome().getText());\\r\\n //pessoa.setRazaoSocial(this.jTextFieldRazaoSocial.getText());\\r\\n ((PessoaFisico) atual).setTelefone(new Integer(((AbsViewCadastroPessoa) cadastro).getjTextFieldTelefone().getText()));\\r\\n\\r\\n ((PessoaFisico) atual).getEndereco().setBairro(((AbsViewCadastroPessoa) cadastro).getjTextFieldBairro().getText());\\r\\n ((PessoaFisico) atual).getEndereco().setCep(new Integer(((AbsViewCadastroPessoa) cadastro).getjTextFieldCEP().getText()));\\r\\n ((PessoaFisico) atual).getEndereco().setCidade(((AbsViewCadastroPessoa) cadastro).getjTextFieldCidade().getText());\\r\\n ((PessoaFisico) atual).getEndereco().setNum(new Integer(((AbsViewCadastroPessoa) cadastro).getjTextFieldNumero().getText()));\\r\\n ((PessoaFisico) atual).getEndereco().setRua(((AbsViewCadastroPessoa) cadastro).getjTextFieldRua().getText());\\r\\n\\r\\n //((MainView) MainView.getFrames()[0]).clientes.add(new PessoaFisico(cpf, id, nome, new Endereco(rua, num, bairro, cidade, cep), tel));\\r\\n cadastro.setVisible(false);\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"1d3eed82d9f7fcce7c61e97d5030147e\",\n \"score\": \"0.5175695\",\n \"text\": \"public void loginBruker(JSONArray brukere) {\\n if (brukere == null || brukere.length() < 1) {\\n Toast.makeText(Login.this, \\\"Feil brukernavn eller passord\\\", Toast.LENGTH_SHORT).show();\\n } else {\\n Toast.makeText(Login.this, \\\"Du er logget inn\\\", Toast.LENGTH_SHORT).show();\\n nextAct();\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c3edf048dab0b263a8fc364595c66695\",\n \"score\": \"0.5174782\",\n \"text\": \"public void administrarPromotor() {\\n\\t\\tlog.info(\\\"AdministrarPromotor.administrarPromotor() action called\\\");\\n\\t\\tstatusMessages.add(\\\"administrarPromotor\\\");\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"07fee2b2771b6198b7c63507390ff8ab\",\n \"score\": \"0.5173499\",\n \"text\": \"private void NominaNuovoAdminAction(){\\n\\n String cf = getBasicframe().InputMessage(\\\"Inserire Codice fiscale del nuovo Admin: \\\");\\n\\n try {\\n\\n if(cf != null) {\\n\\n setModel(new GestioneModel());\\n\\n if (cf.length() == 0)\\n throw new Exception(\\\"Inserire codice fiscale\\\");\\n\\n if (cf.length() < 16)\\n throw new Exception(\\\"Lungezza codice fiscale errata\\\");\\n\\n if (cf.equals(getUtenteloggato().getCodice_Fiscale()))\\n throw new Exception(\\\"Errore è il suo codice fiscale\\\");\\n\\n if(!getModel().SearchUtente(cf))\\n throw new Exception(\\\"Utente non trovato\\\");\\n\\n\\n //Cancello il vecchio admin\\n String[] appoggio = new String[4];\\n appoggio[0] = \\\"flagvolontario\\\";\\n appoggio[1] = \\\"ruolo\\\";\\n appoggio[2] = \\\"Direttivo\\\";\\n appoggio[3] = getUtenteloggato().getCodice_Fiscale();\\n\\n //il vecchio admin perde tutti i compiti prima posseduti\\n if(getModel().UpdateSQL(appoggio) && getUtenteloggato().ResetCompiti()) {\\n\\n\\n //ELEGGO IL NUOVO MCP\\n appoggio[0] = \\\"flagvolontario\\\";\\n appoggio[1] = \\\"ruolo\\\";\\n appoggio[2] = \\\"Admin\\\";\\n appoggio[3] = cf;\\n\\n if (getModel().UpdateSQL(appoggio) && getModel().SetteggioNuovoAdmin(cf)) {\\n\\n //messaggio di Broadcast\\n Messaggio messaggio = new Messaggio(\\\"Broadcast\\\", \\\"INFO\\\",\\n getUtenteloggato().getNome() + \\\" \\\" + getUtenteloggato().getCognome() +\\n \\\" non è più l Admin \\\");\\n\\n if (messaggio.InsertSQL()) {\\n\\n messaggio.AggiornaBroadcast(getUtenteloggato(), Dview);\\n\\n //messaggio privato per il nuovo cordinatore\\n Messaggio sms = new Messaggio(cf, \\\"Admin\\\", \\\"Sei diventato il nuovo Admin\\\");\\n\\n if (sms.InsertSQL())\\n getBasicframe().Message(\\\"Cambiamento avvenuto!\\\\nHo inoltre avvertito il nuovo Admin\\\"\\n + \\\"\\\\nPer vedere le modifiche apportate, effettuare un logout!\\\");\\n }\\n }\\n }\\n }\\n\\n\\n }catch (Exception e){\\n\\n getBasicframe().ErrorMessage(e.getMessage());\\n\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cac33b79bb4df507895d38328a5c8252\",\n \"score\": \"0.5173325\",\n \"text\": \"public void clienteModificato() {\\n\\n try { // prova ad eseguire il codice\\n\\n /**\\n * forza la rigenerazione\\n * dei records perché la modifica potrebbe avere influito\\n * sul gruppo nel quale il cliente è collocato (es. se ho\\n * modificato la città)\\n */\\n this.getLogica().creaRecords();\\n this.getNavMaster().aggiornaLista();\\n\\n } catch (Exception unErrore) { // intercetta l'errore\\n Errore.crea(unErrore);\\n }// fine del blocco try-catch\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c547cc38a58f279d6a2e8b1cc64be89d\",\n \"score\": \"0.5166926\",\n \"text\": \"@Override\\n public void run() {\\n Client client = Client.getInstance();\\n\\n if(client.isPecaAuthentic(this.transmissionObject.getPecas())){\\n\\n client.writeInDisk(this.transmissionObject.getIdPeca(), this.transmissionObject.getPecas());\\n }\\n\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2381ab3c47527978c22d1dcc202028aa\",\n \"score\": \"0.5158137\",\n \"text\": \"public void piocherParcelle(){\\n\\t\\t\\tif(actionsRestantes <= 0) return;\\n if ((! mainParcelles.isEmpty()) || PiocheParcelle.getInstance().parcellesRestantes() == 0) return;\\n\\t\\t\\t--actionsRestantes;\\n for (int i = 0; i < (PiocheParcelle.getInstance().parcellesRestantes() > 3 ? 3\\n\\t\\t\\t\\t: PiocheParcelle.getInstance().parcellesRestantes()); ++i){\\n mainParcelles.add(PiocheParcelle.getInstance().piocher());\\n }\\n verou = true;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"eb72978d70ac1ab61b9c7149779bd9d6\",\n \"score\": \"0.5158054\",\n \"text\": \"public void entrar(){\\n if(this.pessoasPresentes<this.capacidadeElevador){\\n this.pessoasPresentes++;\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"e203482270c38f5a2cdaf0c134ab0d2f\",\n \"score\": \"0.5156106\",\n \"text\": \"public String modifier() {\\n\\t\\tlog.info(\\\"-----------------------------------------------------------\\\");\\n\\t\\tlog.info(\\\"Entrée dans la méthode modifier()\\\");\\n\\t\\tlog.info(\\\"-----------------------------------------------------------\\\");\\t\\t\\n\\t\\tclientCourant = (Client)listeClientsModel.getRowData();\\t\\t\\n\\t\\tlog.info(\\\"clientCourant.getNom() vaut : \\\" + clientCourant.getNom());\\n\\t\\t\\n\\t\\tdesactive1=true;\\n\\t\\tdesactive2=false;\\n\\t render1=false;\\n\\t render2=true;\\n\\t \\n\\t\\treturn \\\"sauverClient?faces-redirect=true\\\";\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"073def4bc00dc1a1af50513b21d68eb3\",\n \"score\": \"0.5152953\",\n \"text\": \"@Override\\n\\tpublic void visualizzaTesseraCorrente(AdapterTessera tessera)\\n\\t{\\n\\n\\t\\tthis.setTesseraCorrente(tessera);\\n\\t\\tthis.informaUser.setTesseraCorrente(tessera);\\n\\t\\tthis.informaUser.mostraTesseraCorrente();\\n\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"27b97a1deabbd77fc6dee52b4232284b\",\n \"score\": \"0.51520026\",\n \"text\": \"private void jButtonRegistrarUsuarioActionPerformed(java.awt.event.ActionEvent evt) {//GEN-FIRST:event_jButtonRegistrarUsuarioActionPerformed\\n \\n String tipoUsuario=(String)jComboBoxTipoUsuarioRegistro.getSelectedItem();\\n String nombreUsuario=jTextFieldNombreUsuarioRegistro.getText();\\n String salario=\\\"\\\"+jSpinnerSalario.getValue();\\n String fecha=new SimpleDateFormat(\\\"dd/MM/yyyy\\\").format(jDateChooserInicioLaboral.getDate());\\n String contraseña=String.valueOf(jPasswordFieldContraseñaRegistro.getPassword());\\n if(noEspaciosEnBlanco(tipoUsuario) && noEspaciosEnBlanco(nombreUsuario) \\n && noEspaciosEnBlanco(salario) && noEspaciosEnBlanco(contraseña)){\\n if(comprobarSiUsuarioNoExiste(tipoUsuario, nombreUsuario)){\\n //Registrar usuario\\n empresa.darAdmin().registrarUsuario(tipoUsuario, Integer.parseInt(salario), nombreUsuario, contraseña, fecha);\\n limpiarPaneles();\\n }else{\\n int respuesta=JOptionPane.showOptionDialog(this,\\\"Usuario ya existente,¿Qué desea hacer?\\\",\\\"Atención\\\",JOptionPane.YES_NO_CANCEL_OPTION, JOptionPane.QUESTION_MESSAGE, null,new Object[]{\\\"Modificar\\\",\\\"Eliminar\\\",\\\"Cancelar\\\"},\\\"Cancelar\\\");\\n if(respuesta!=-1 && respuesta!=2){\\n if(respuesta==0){\\n //Modificar usuario\\n empresa.darAdmin().modificarUsuario(tipoUsuario, Integer.parseInt(salario), nombreUsuario, contraseña, fecha);\\n limpiarPaneles();\\n }else if(respuesta==1){\\n //Eliminar usuario\\n empresa.darAdmin().eliminarUsuario(tipoUsuario, nombreUsuario);\\n limpiarPaneles();\\n }\\n }\\n }\\n \\n }else{\\n JOptionPane.showMessageDialog(null, \\\"No se permiten espacios vacios\\\", \\\"Advertencia\\\", JOptionPane.WARNING_MESSAGE);\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0b2792c4268a0689cb387b9a835f55bd\",\n \"score\": \"0.5151511\",\n \"text\": \"public String irAmpliarBienes() {\\n\\t\\tobtieneFlash().put(ParametrosFlashEnum.CLIENTE.getParamFlash(), this.cliente);\\n\\t\\tobtieneFlash().put(ParametrosFlashEnum.NAVEGACION_MANAGED_BEAN.getParamFlash(), true);\\n\\t\\treturn mx.babel.bansefi.banksystem.base.enums.integracionAppWhere.NavegacionEnum.PERSONASAMPLIARBIENES.getRuta();\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"f1bbbf73fdfc01e2d0fe3d176056f453\",\n \"score\": \"0.5144927\",\n \"text\": \"private void consultarProveedor(String razonsocial) throws Exception {\\n proveedor = proveedorcontroler.ProveedorBuscar(razonsocial);\\n if (proveedor != null) {\\n\\n idProveedor=proveedor.getIdProveedor();\\n // txtNombres.setText(pro.getNombres());\\n comboBoxProveedor.setSelectedItem(proveedor.getRazonSocial());\\n txtRuc.setText(proveedor.getRuc());\\n\\n } else {\\n JOptionPane.showMessageDialog(null, \\\"Proveedor no registrado\\\");\\n //System.out.println(\\\"Error\\\");\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3bf65560681d7ac60e387d6b10f7ef64\",\n \"score\": \"0.5143476\",\n \"text\": \"public void verAdmitidosPublicados() {\\n Utilidades.redireccionar(\\\"/AdmisionesApp/faces/Vistas/ListadosDeAdmitidos/listarAdmitidosPublicado.xhtml\\\");\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3d3e71e618953c56ffb0709301f5ca59\",\n \"score\": \"0.5139243\",\n \"text\": \"public void enProgreso() throws Exception{\\n\\t\\tthis.estadoDescripcion = EnumEstadosReclamo.enProgreso.getEstado();\\n\\t\\tReclamoManager.getInstance().guardarReclamo(this);\\n\\t\\tMailManager.getInstance().enviarMail(this.mailCiudadanoReclamo, \\\"Accion Ciudadana - Solucion en progreso del reclamo\\\", MailManager.getInstance().armarTextoCambioEstados(this.estadoDescripcion,this));\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"c2eb16cb2afe16243cbb38bca31c680c\",\n \"score\": \"0.51332134\",\n \"text\": \"private static void insertParrot() {\\n\\tcontroller.createParrot(\\\"Parrot one\\\", \\\"Grain\\\", 0.25, false);\\n\\tcontroller.createParrot(\\\"Parrot two\\\", \\\"Corn\\\", 0.5, true);\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"ab736777746d890a5267743df0401df2\",\n \"score\": \"0.5132672\",\n \"text\": \"@Override\\r\\n public void onClick(View v) {\\n if (checkNome(nome.getText().toString().trim()) &&\\r\\n checkCognome(cognome.getText().toString().trim()) &&\\r\\n checkMail(mail.getText().toString().trim()) &&\\r\\n checkPassword(pass.getText().toString().trim()) &&\\r\\n checkConfirmPassword(pass.getText().toString().trim(), repetpass.getText().toString().trim())) {\\r\\n\\r\\n //prendo i dati inseriti dall'utente\\r\\n String m = mail.getText().toString().trim();\\r\\n String n = nome.getText().toString().trim();\\r\\n String c = cognome.getText().toString().trim();\\r\\n String p = pass.getText().toString().trim();\\r\\n\\r\\n //creo un nuovo utente con i dati inseriti\\r\\n Utente u = new Utente(m, n, c, p);\\r\\n\\r\\n //prendo la lista di utenti già registrati\\r\\n List<Utente> list = DatiMock.getInstance().getUtenti();\\r\\n\\r\\n //eseguo il metodo che controlla che la mail non sia già registrata e in caso contrario aggiunge\\r\\n //l'utente nell'elenco degli utenti registrati\\r\\n checkUtente(list, u);\\r\\n }\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0f67b83e1e3ce11e393cb740326a3de6\",\n \"score\": \"0.51303333\",\n \"text\": \"void login()\\n {\\n Scanner sc=new Scanner(System.in);\\n System.out.print(\\\"Enter username : \\\"); //this will take username from registered user\\n String name=sc.nextLine();\\n int i;\\n boolean b = false;\\n \\n for(i=0;i<c;i++) //this for loop will check whether the data entered by regestered user is correct or not\\n {\\n if(obj[i].username.equalsIgnoreCase(name)) //if name entered by registered user is correct then this wil execute\\n {\\n b = true;\\n System.out.print(\\\"Enter PIN : \\\");\\n String pin = sc.nextLine();\\n if(obj[i].PIN.equals(pin)) //this will check that pin entered by user is same as registered pin or not\\n {\\n System.out.println(\\\"ACCESS GRANTED\\\"); //if it is same as registered pin then it will grant the access\\n viewSelectionFrame(i); \\n }\\n else //and if it is not correct then this will be printed\\n {\\n System.out.println(\\\"Invalid PIN.\\\\nACCESS REJECTED\\\");\\n loginmenu();\\n }\\n break;\\n }\\n }\\n if(!b) //if name entered by user is not same as registered name then this will be printed\\n {\\n\\t\\t\\tSystem.out.println(\\\"No such account registered with the name \\\" + name + \\\".\\\");\\n\\t\\t\\tloginmenu();\\n\\t\\t}\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3e111e941c143258a7cfa69493eee149\",\n \"score\": \"0.5128685\",\n \"text\": \"@Override\\n\\t\\t\\tpublic void mouseClicked(MouseEvent e) {\\n\\t\\t\\t\\tsuper.mouseClicked(e);\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tString pseudo = pseudoInput.getText();\\n\\t\\t\\t\\tString mot_de_passe = passwordField.getText();\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif(pseudo == null || pseudo.length() < 5 || pseudo.equals(\\\"\\\") )\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"Votre Pseudo doit contenir au moin 5 character.\\\", \\\"Erreur\\\", JOptionPane.ERROR_MESSAGE);\\n\\t\\t\\t\\t}else if(mot_de_passe == null || mot_de_passe.equals(\\\"\\\"))\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"Mot de passe ne peut pas etre vide.\\\", \\\"Erreur\\\", JOptionPane.ERROR_MESSAGE);\\n\\t\\t\\t\\t}else {\\n\\t\\t\\t\\t\\tString fetchedCne = dao.chercheParPseudo(pseudo);\\n\\t\\t\\t\\t\\tif(fetchedCne != null)\\n\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\tUtilisateur user = null;\\n\\t\\t\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\t\\t\\tuser = dao.chercheParId(fetchedCne);\\n\\t\\t\\t\\t\\t\\t\\t/**\\n\\t\\t\\t\\t\\t\\t\\t * Hashage du mot de passe\\n\\t\\t\\t\\t\\t\\t\\t */\\n\\t\\t\\t\\t\\t\\t\\tbyte[] bytesOfPassword = null;\\n\\t\\t\\t\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\t\\t\\t\\tbytesOfPassword = mot_de_passe.getBytes(\\\"UTF-8\\\");\\n\\t\\t\\t\\t\\t\\t\\t} catch (UnsupportedEncodingException e1) {\\n\\t\\t\\t\\t\\t\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\t\\t\\t\\t\\t\\te1.printStackTrace();\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\t\\t\\tMessageDigest md;\\n\\t\\t\\t\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\t\\t\\t\\tmd = MessageDigest.getInstance(\\\"MD5\\\");\\n\\t\\t\\t\\t\\t\\t\\t\\tbyte[] thedigest = md.digest(bytesOfPassword);\\n\\t\\t\\t\\t\\t\\t\\t\\tBigInteger bigInt = new BigInteger(1,thedigest);\\n\\t\\t\\t\\t\\t\\t\\t\\tString hashedPassword = bigInt.toString(16);\\n\\t\\t\\t\\t\\t\\t\\t\\t/**|Hashage du mot de passe*/\\n\\t\\t\\t\\t\\t\\t\\t\\tif(user.getMot_de_pass().equals(hashedPassword))\\n\\t\\t\\t\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tframe.setVisible(false);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tframe = null;\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tSystem.gc();\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tif(user.getIsAdmin() == 1)\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tJOptionPane.showMessageDialog(frame, \\\"Bon retour Admin!!\\\", \\\"Salut\\\", JOptionPane.INFORMATION_MESSAGE);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tAdminPanel window = new AdminPanel();\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\twindow.frmGestionIlivre.setVisible(true);\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t\\t\\telse\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tnew Progress(user);\\n\\t\\t\\t\\t\\t\\t\\t\\t}else {\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"Mot de passe incorrect.\\\", \\\"Erreur\\\", JOptionPane.ERROR_MESSAGE);\\n\\t\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\t} catch (NoSuchAlgorithmException e2) {\\n\\t\\t\\t\\t\\t\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\t\\t\\t\\t\\t\\te2.printStackTrace();\\n\\t\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t} catch (SQLException e1) {\\n\\t\\t\\t\\t\\t\\t\\t// TODO Auto-generated catch block\\n\\t\\t\\t\\t\\t\\t\\te1.printStackTrace();\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t}else{\\n\\t\\t\\t\\t\\t\\tJOptionPane.showMessageDialog(null, \\\"Aucun compte avec ce pseudo.\\\", \\\"Erreur\\\", JOptionPane.ERROR_MESSAGE);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a75b9ec813b5ad8928eafffd1cdb98a9\",\n \"score\": \"0.51185274\",\n \"text\": \"public void onInscrireActionEvent(com.codename1.ui.events.ActionEvent ev) {\\n\\n\\n \\n //////////////////////\\n \\n \\n if(!ControleUtility.isEmailValid(gui_email.getText()))\\n gui_erreur.setText(\\\"Adresse e-mail invalide\\\"); \\n else if(!ControleUtility.isPasswordValid(gui_motDePasse.getText())){ \\n Dialog.show(\\\"Mot de passse invalide\\\",\\\"-un chiffre doit apparaître au moins une fois \\\\n\\\"\\n + \\\"-une lettre minuscule doit apparaître au moins une fois \\\\n \\\"\\n + \\\"-une lettre majuscule doit apparaître au moins une fois \\\\n\\\"\\n + \\\"-un caractère spécial doit apparaître au moins une fois \\\\n\\\"\\n + \\\"-aucun espace n'est autorisé dans toute la chaîne \\\\n\\\" \\n + \\\"-au moins 8 caractères\\\", \\\"OK\\\",null);\\n }\\n else{\\n \\n \\n if(gui_motDePasse.getText().equals(gui_ConfMotDePasse.getText())){\\n \\n String sexe=null;\\n if(gui_homme.isSelected())\\n sexe=\\\"Homme\\\";\\n else if(gui_femme.isSelected())\\n sexe=\\\"Femme\\\";\\n \\n Random rand = new Random();\\n int randomNum = rand.nextInt((999999 - 100000) + 1) + 100000;\\n String confirmationCode=String.valueOf(randomNum);\\n User user=new User(gui_nom.getText(),gui_prenom.getText(),gui_Picker.getDate(),sexe,gui_adresse.getText(),gui_email.getText(),gui_motDePasse.getText(),RoleUser.SimpleUser,confirmationCode); \\n ServiceUser.ajoutUser(user);\\n EmailSend.sendConfirmation(gui_email.getText(),confirmationCode);\\n Authentification authentification =new Authentification();\\n authentification.show(); \\n }\\n else{\\n gui_erreur.setText(\\\"Les mots de passe ne correspondent pas\\\");\\n }\\n \\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6f06039d9823dcf0d7ce5793b04d2b9b\",\n \"score\": \"0.51147044\",\n \"text\": \"@SuppressWarnings(\\\"unchecked\\\")\\n // <editor-fold defaultstate=\\\"collapsed\\\" desc=\\\"Generated Code\\\">//GEN-BEGIN:initComponents\\n private void initComponents() {\\n\\n jPanel1 = new javax.swing.JPanel();\\n jLabel1 = new javax.swing.JLabel();\\n tfEmail = new javax.swing.JTextField();\\n jLabel2 = new javax.swing.JLabel();\\n btnLogin = new javax.swing.JButton();\\n cbPeran = new javax.swing.JComboBox<>();\\n pfPassword = new javax.swing.JPasswordField();\\n btnRegistSiswa = new javax.swing.JButton();\\n btnRegistTutor = new javax.swing.JButton();\\n jLabel3 = new javax.swing.JLabel();\\n\\n setDefaultCloseOperation(javax.swing.WindowConstants.EXIT_ON_CLOSE);\\n\\n jPanel1.setBackground(new java.awt.Color(255, 255, 255));\\n\\n jLabel1.setText(\\\"Email\\\");\\n\\n jLabel2.setText(\\\"Password\\\");\\n\\n btnLogin.setText(\\\"Login\\\");\\n\\n cbPeran.setModel(new javax.swing.DefaultComboBoxModel<>(new String[] { \\\"Tutor\\\", \\\"Siswa\\\", \\\"-\\\" }));\\n\\n btnRegistSiswa.setText(\\\"Register Siswa\\\");\\n btnRegistSiswa.addActionListener(new java.awt.event.ActionListener() {\\n public void actionPerformed(java.awt.event.ActionEvent evt) {\\n btnRegistSiswaActionPerformed(evt);\\n }\\n });\\n\\n btnRegistTutor.setText(\\\"Register Tutor\\\");\\n btnRegistTutor.addActionListener(new java.awt.event.ActionListener() {\\n public void actionPerformed(java.awt.event.ActionEvent evt) {\\n btnRegistTutorActionPerformed(evt);\\n }\\n });\\n\\n jLabel3.setText(\\\"As\\\");\\n\\n javax.swing.GroupLayout jPanel1Layout = new javax.swing.GroupLayout(jPanel1);\\n jPanel1.setLayout(jPanel1Layout);\\n jPanel1Layout.setHorizontalGroup(\\n jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\\n .addGroup(jPanel1Layout.createSequentialGroup()\\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\\n .addGroup(jPanel1Layout.createSequentialGroup()\\n .addGap(45, 45, 45)\\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\\n .addComponent(jLabel2)\\n .addComponent(jLabel1)\\n .addComponent(jLabel3))\\n .addGap(34, 34, 34)\\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING, false)\\n .addComponent(cbPeran, 0, 193, Short.MAX_VALUE)\\n .addComponent(tfEmail)\\n .addComponent(pfPassword)))\\n .addGroup(jPanel1Layout.createSequentialGroup()\\n .addGap(32, 32, 32)\\n .addComponent(btnRegistTutor, javax.swing.GroupLayout.PREFERRED_SIZE, 116, javax.swing.GroupLayout.PREFERRED_SIZE)\\n .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED)\\n .addComponent(btnLogin, javax.swing.GroupLayout.PREFERRED_SIZE, 116, javax.swing.GroupLayout.PREFERRED_SIZE)\\n .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED)\\n .addComponent(btnRegistSiswa, javax.swing.GroupLayout.PREFERRED_SIZE, 116, javax.swing.GroupLayout.PREFERRED_SIZE)))\\n .addContainerGap(26, Short.MAX_VALUE))\\n );\\n jPanel1Layout.setVerticalGroup(\\n jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\\n .addGroup(jPanel1Layout.createSequentialGroup()\\n .addGap(39, 39, 39)\\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE)\\n .addComponent(cbPeran, javax.swing.GroupLayout.PREFERRED_SIZE, 37, javax.swing.GroupLayout.PREFERRED_SIZE)\\n .addComponent(jLabel3))\\n .addGap(18, 18, 18)\\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE)\\n .addComponent(jLabel1)\\n .addComponent(tfEmail, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE))\\n .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED)\\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE)\\n .addComponent(jLabel2)\\n .addComponent(pfPassword, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE))\\n .addGap(18, 18, 18)\\n .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE)\\n .addComponent(btnLogin, javax.swing.GroupLayout.PREFERRED_SIZE, 53, javax.swing.GroupLayout.PREFERRED_SIZE)\\n .addComponent(btnRegistSiswa, javax.swing.GroupLayout.PREFERRED_SIZE, 53, javax.swing.GroupLayout.PREFERRED_SIZE)\\n .addComponent(btnRegistTutor, javax.swing.GroupLayout.PREFERRED_SIZE, 53, javax.swing.GroupLayout.PREFERRED_SIZE))\\n .addContainerGap(33, Short.MAX_VALUE))\\n );\\n\\n javax.swing.GroupLayout layout = new javax.swing.GroupLayout(getContentPane());\\n getContentPane().setLayout(layout);\\n layout.setHorizontalGroup(\\n layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\\n .addComponent(jPanel1, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE)\\n );\\n layout.setVerticalGroup(\\n layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\\n .addComponent(jPanel1, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE)\\n );\\n\\n pack();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"8de42e494df65a42d84aecbe86573464\",\n \"score\": \"0.51061124\",\n \"text\": \"public void login() {\\n \\tlm.startLoginProcedure(am.getUsername(), am.getPassword());\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"a836fb2f8a53e374c2923e69440549da\",\n \"score\": \"0.5105597\",\n \"text\": \"private void ingresarRol() {\\n\\n persona.setNombre(etNombre.getText().toString());\\n // Log.d(\\\"LogPulpo.TAG\\\", \\\"NOMBRE PERSONA\\\" + etNombre.getText().toString()+\\\"CrearCuentaActivity\\\");\\n persona.setApellido(etApellido.getText().toString());\\n // persona.setCorreo(etCorreoE.getText().toString())\\n PulpoSingleton.getInstance().setMail(etCorreoE.getText().toString());\\n mailC = IdentificadorUtils.crearIdentificacionMail(etCorreoE.getText().toString());\\n PulpoSingleton.getInstance().setMail(mailC);\\n // Log.d(\\\"LogPulpo.TAG\\\", \\\"EL VALOR DEL CORREO ES \\\" + mailC+\\\"CrearCuentaActivity\\\");\\n FirebaseDatabase database = FirebaseDatabase.getInstance();\\n DatabaseReference myRef1 = database.\\n getReference(Rutas.USUARIOS);\\n myRef1.child(mailC).setValue(persona);\\n\\n\\n // Toast.makeText(this, \\\"Se inserto el USUARIO EN EL ROL:\\\" + persona.getNombre().toString(), Toast.LENGTH_LONG).show();\\n // Log.d(\\\"LogPulpo.TAG\\\", \\\"Se inserto el USUARIO EN EL ROL\\\"+\\\"CrearCuentaActivity\\\");\\n tilMensajeCrear.setError(\\\"Se inserto el USUARIO EN EL ROL:\\\" + persona.getNombre().toString());\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"7a4c25b01af5c382c5f3a43e29a1c43e\",\n \"score\": \"0.5104278\",\n \"text\": \"@FXML\\r\\n void clickLogin(ActionEvent event) {\\r\\n \\t\\r\\n \\t\\r\\n \\tString getUser = txtUser.getText();\\r\\n \\tString getPassw = txtPassword.getText();\\r\\n \\tString selectUser =\\\"select usuario,password,privilegios from afiliadoscomite.usuarios where usuario='\\\"+getUser+\\\"'\\\";\\r\\n \\t\\r\\n \\ttry {\\r\\n \\t\\t\\r\\n\\t\\t\\tConnection conn = Conexion.getConection();\\r\\n\\t\\t\\tPreparedStatement pstat = conn.prepareStatement(selectUser);\\r\\n\\t\\t\\tResultSet rs = pstat.executeQuery();\\r\\n\\t\\t\\t\\r\\n\\t\\t\\tif(rs.next()) {\\r\\n\\t\\t\\t\\tString userBD = rs.getString(\\\"usuario\\\");\\r\\n\\t\\t\\t\\tString passwBD = rs.getString(\\\"password\\\");\\r\\n\\t\\t\\t\\tString privilegiosBD = rs.getString(\\\"privilegios\\\");\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\tif(getPassw.equals(passwBD)) {\\r\\n\\t\\t\\t\\t\\tif(privilegiosBD.equals(\\\"administrador\\\")) {\\r\\n\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"Admin\\\");\\r\\n\\t\\t\\t\\t\\t\\t//propiedades para arrancar con admin\\r\\n\\t\\t\\t\\t\\t}else if(privilegiosBD.equals(\\\"usuario\\\")){\\r\\n\\t\\t\\t\\t\\t\\tSystem.out.println(\\\"usuario\\\");\\r\\n\\t\\t\\t\\t\\t\\t//propiedades para arrancar con usuario\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t}else {\\r\\n\\t\\t\\t\\t\\t// contraseña incorrecta\\r\\n\\t\\t\\t\\t\\tNotifications notificacion = Notifications.create()\\r\\n\\t\\t\\t\\t\\t\\t\\t.title(\\\"Contraseña incorrecta\\\")\\r\\n\\t\\t\\t\\t\\t\\t\\t.text(\\\"Verifique que la contraseña es correcta\\\")\\r\\n\\t\\t\\t\\t\\t\\t\\t.graphic(null)\\r\\n\\t\\t\\t\\t\\t\\t\\t.hideAfter(Duration.seconds(5))\\r\\n\\t\\t\\t\\t\\t\\t\\t.position(Pos.BOTTOM_RIGHT);\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\tnotificacion.showError();\\r\\n\\t\\t\\t\\t\\tSystem.out.println(\\\"contrseña incorrecta\\\");\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\r\\n\\t\\t\\t}else {\\r\\n\\t\\t\\t\\t// usuario no existe\\r\\n\\t\\t\\t\\tSystem.out.println(\\\"Usuario no existe\\\");\\r\\n\\t\\t\\t\\tNotifications notificacion = Notifications.create()\\r\\n\\t\\t\\t\\t\\t\\t.title(\\\"Usuario desconocido\\\")\\r\\n\\t\\t\\t\\t\\t\\t.text(\\\"El Usuario introducido no existe\\\")\\r\\n\\t\\t\\t\\t\\t\\t.graphic(null)\\r\\n\\t\\t\\t\\t\\t\\t.hideAfter(Duration.seconds(5))\\r\\n\\t\\t\\t\\t\\t\\t.position(Pos.BOTTOM_RIGHT);\\r\\n\\t\\t\\t\\tnotificacion.showError();\\r\\n\\t\\t\\t}\\r\\n\\t\\t\\t\\r\\n\\t\\t\\t\\r\\n\\t\\t} catch (SQLException e) {\\r\\n\\t\\t\\t// TODO Bloque catch generado automáticamente\\r\\n\\t\\t\\te.printStackTrace();\\r\\n\\t\\t}\\r\\n \\t\\r\\n \\t\\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"af8b61885c91291ccd8b8519793e17fb\",\n \"score\": \"0.51040953\",\n \"text\": \"private Gebruiker leesGegevensLid(ResultSet res) throws SQLException {\\n Gebruiker gebruiker = new Gebruiker();\\n gebruiker.setId(res.getInt(\\\"id\\\"));\\n gebruiker.setNaam(res.getString(\\\"naam\\\"));\\n gebruiker.setAdres(res.getString(\\\"adres\\\"));\\n gebruiker.setPostcode(res.getString(\\\"postcode\\\"));\\n gebruiker.setPlaats(res.getString(\\\"plaats\\\"));\\n gebruiker.setEmail(res.getString(\\\"email\\\"));\\n gebruiker.setWachtwoord(res.getString(\\\"wachtwoord\\\"));\\n gebruiker.setBeheerder(false);\\n return gebruiker;\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3e76fd128e6fa42e4f3477e78d647feb\",\n \"score\": \"0.51036686\",\n \"text\": \"void jogar() {\\n telaPrincipal = new TelaPrincipal(this);\\n telaPrincipal.exibir();\\n\\n analisador = new Analisador(telaPrincipal.getInput());\\n imprimirBoasVindas();\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fdc7cdd055fad7536827741c9789b7ad\",\n \"score\": \"0.51011163\",\n \"text\": \"public void setUsuarioModificacion(String p) { this.usuarioModificacion = p; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fdc7cdd055fad7536827741c9789b7ad\",\n \"score\": \"0.51011163\",\n \"text\": \"public void setUsuarioModificacion(String p) { this.usuarioModificacion = p; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"fdc7cdd055fad7536827741c9789b7ad\",\n \"score\": \"0.51011163\",\n \"text\": \"public void setUsuarioModificacion(String p) { this.usuarioModificacion = p; }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"addd8c8d0348c9508fa07a9a1cc204d6\",\n \"score\": \"0.5100831\",\n \"text\": \"public Leiho5Login(Ostatua hartutakoOstatua, double prezioTot, java.util.Date sartzeData, java.util.Date irtetzeData, int logelaTot, int pertsonaKop, String pentsioMota, ArrayList<HartutakoOstatuarenZerbitzuak> hartutakoZerbitzuArray, boolean gosaria) {\\r\\n\\t\\t// panelaren propietateak\\r\\n\\t\\tsetIconImage(Toolkit.getDefaultToolkit().getImage(\\\".\\\\\\\\Argazkiak\\\\\\\\logoa.png\\\"));\\r\\n\\t\\tgetContentPane().setLayout(null);\\r\\n\\t\\tthis.setBounds(350, 50, 600, 600);\\r\\n\\t\\tthis.setResizable(false); // neurketak ez aldatzeko\\r\\n\\t\\tthis.setSize(new Dimension(600, 600));\\r\\n\\t\\tthis.setTitle(\\\"Airour ostatu bilatzailea\\\");\\r\\n\\r\\n\\t\\t// botoiak\\r\\n\\t\\tbtn_next.addActionListener(new ActionListener() {\\r\\n\\t\\t\\t@Override\\r\\n\\t\\t\\tpublic void actionPerformed(ActionEvent e) {\\r\\n\\t\\t\\t\\t// bbdd-ra konektatu pasahitza frogatzeko\\r\\n\\t\\t\\t\\tnan = txtNan.getText();\\r\\n\\r\\n\\t\\t\\t\\tif (nan.matches(\\\"^[0-9]{8}[A-Za-z]$\\\")) {\\r\\n\\t\\t\\t\\t\\tnanLarria = nan.substring(8).toUpperCase();\\r\\n\\t\\t\\t\\t\\tnan = nan.substring(0, 8) + nanLarria;\\r\\n\\t\\t\\t\\t\\tpasahitza = String.valueOf(passwordField.getPassword());\\r\\n\\t\\t\\t\\t\\tbalPasa = MetodoakKontsultak.frogatuPasahitza(pasahitza);\\r\\n\\t\\t\\t\\t\\tbalNan = MetodoakKontsultak.frogatuNAN(nan);\\r\\n\\t\\t\\t\\t\\tif (balPasa && balNan) {\\r\\n\\t\\t\\t\\t\\t\\tMetodoakLeihoAldaketa.zazpigarrenLeihoa(hartutakoOstatua, prezioTot, sartzeData, irtetzeData,\\r\\n\\t\\t\\t\\t\\t\\t\\t\\tnan, logelaTot, pertsonaKop, pentsioMota, hartutakoZerbitzuArray, gosaria);\\r\\n\\t\\t\\t\\t\\t\\tdispose();\\r\\n\\t\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\t\\tlblErroreakonektatu.setBounds(145, 329, 318, 22);\\r\\n\\t\\t\\t\\t\\t\\tlblErroreakonektatu.setForeground(Color.RED);\\r\\n\\t\\t\\t\\t\\t\\tlblErroreakonektatu.setText(\\\"NAN-a edo pasahitza ez dago ondo, sartu berriz\\\");\\r\\n\\t\\t\\t\\t\\t\\tlblErroreakonektatu.setVisible(true);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\tlblErroreakonektatu.setBounds(145, 329, 318, 22);\\r\\n\\t\\t\\t\\t\\tlblErroreakonektatu.setForeground(Color.RED);\\r\\n\\t\\t\\t\\t\\tlblErroreakonektatu.setText(\\\"NAN-a 8 zenbaki eta letra bat du\\\");\\r\\n\\t\\t\\t\\t\\tlblErroreakonektatu.setVisible(true);\\r\\n\\t\\t\\t\\t}\\r\\n\\r\\n\\t\\t\\t}\\r\\n\\t\\t});\\r\\n\\t\\tbtn_next.setBounds(423, 500, 122, 32);\\r\\n\\t\\tbtn_next.setFont(new Font(\\\"Tahoma\\\", Font.ITALIC, 16));\\r\\n\\t\\tbtn_next.setForeground(Color.RED);\\r\\n\\t\\tgetContentPane().add(btn_next);\\r\\n\\r\\n\\t\\tbtn_prev.addActionListener(new ActionListener() {\\r\\n\\t\\t\\t@Override\\r\\n\\t\\t\\tpublic void actionPerformed(ActionEvent e) {\\r\\n\\t\\t\\t\\tMetodoakLeihoAldaketa.laugarrenLeihoa(hartutakoOstatua, prezioTot, sartzeData, irtetzeData, logelaTot, pertsonaKop);\\r\\n\\t\\t\\t\\tdispose();\\r\\n\\t\\t\\t}\\r\\n\\t\\t});\\r\\n\\t\\tbtn_prev.setFont(new Font(\\\"Tahoma\\\", Font.ITALIC, 16));\\r\\n\\t\\tbtn_prev.setForeground(Color.RED);\\r\\n\\t\\tbtn_prev.setBounds(38, 500, 107, 32);\\r\\n\\t\\tgetContentPane().add(btn_prev);\\r\\n\\r\\n\\t\\trestart.addActionListener(new ActionListener() {\\r\\n\\t\\t\\t@Override\\r\\n\\t\\t\\tpublic void actionPerformed(ActionEvent e) {\\r\\n\\t\\t\\t\\tMetodoakLeihoAldaketa.lehenengoLeihoa();\\r\\n\\t\\t\\t\\tdispose();\\r\\n\\t\\t\\t}\\r\\n\\t\\t});\\r\\n\\t\\trestart.setBounds(245, 500, 72, 32);\\r\\n\\t\\trestart.setForeground(Color.RED);\\r\\n\\t\\tgetContentPane().add(restart);\\r\\n\\r\\n\\t\\t// non, formatua eta zer jarri\\r\\n\\t\\tlblPrezioTotala = new JLabel(\\\"Prezio totala:\\\");\\r\\n\\t\\tlblPrezioTotala.setFont(new Font(\\\"Tahoma\\\", Font.BOLD, 17));\\r\\n\\t\\tlblPrezioTotala.setBounds(157, 37, 117, 20);\\r\\n\\t\\tgetContentPane().add(lblPrezioTotala);\\r\\n\\r\\n\\t\\ttxtPrezioTot.setEditable(false);\\r\\n\\t\\ttxtPrezioTot.setColumns(10);\\r\\n\\t\\ttxtPrezioTot.setBounds(281, 37, 86, 20);\\r\\n\\r\\n\\t\\t// guztiraPrez kalkulatzeko metodoari deitu\\r\\n\\t\\ttxtPrezioTot.setText(prezioTot + \\\" €\\\");\\r\\n\\t\\tgetContentPane().add(txtPrezioTot);\\r\\n\\r\\n\\t\\tlblNan = new JLabel(\\\"NAN:\\\");\\r\\n\\t\\tlblPasahitza = new JLabel(\\\"Pasahitza:\\\");\\r\\n\\r\\n\\t\\tlblKonekBezeroMezua = new JLabel(\\\"Hasi saioa edo erregistratu\\\");\\r\\n\\t\\tlblKonekBezeroMezua.setForeground(Color.BLUE);\\r\\n\\t\\tlblKonekBezeroMezua.setHorizontalAlignment(SwingConstants.CENTER);\\r\\n\\t\\tlblKonekBezeroMezua.setFont(new Font(\\\"Tempus Sans ITC\\\", Font.BOLD | Font.ITALIC, 14));\\r\\n\\t\\tlblKonekBezeroMezua.setBounds(122, 74, 328, 25);\\r\\n\\t\\tgetContentPane().add(lblKonekBezeroMezua);\\r\\n\\r\\n\\t\\tlblNan.setFont(new Font(\\\"Tahoma\\\", Font.BOLD, 17));\\r\\n\\t\\tlblNan.setBounds(214, 211, 62, 20);\\r\\n\\t\\tgetContentPane().add(lblNan);\\r\\n\\r\\n\\t\\ttxtNan.setBounds(283, 211, 86, 20);\\r\\n\\t\\tgetContentPane().add(txtNan);\\r\\n\\t\\ttxtNan.addKeyListener(new KeyAdapter() {\\r\\n\\t\\t\\tpublic void keyTyped(KeyEvent e) {\\r\\n\\t\\t\\t\\tletra = e.getKeyChar();\\r\\n\\t\\t\\t\\t// 9 baino gehiago edo espazioa sartzerakoan\\r\\n\\t\\t\\t\\tif (txtNan.getText().length() > nanLuzera || (letra == '\\\\b'))\\r\\n\\t\\t\\t\\t\\te.consume(); // ez du godetzen\\r\\n\\t\\t\\t}\\r\\n\\t\\t});\\r\\n\\r\\n\\t\\tlblPasahitza.setFont(new Font(\\\"Tahoma\\\", Font.BOLD, 17));\\r\\n\\t\\tlblPasahitza.setBounds(184, 266, 93, 20);\\r\\n\\t\\tgetContentPane().add(lblPasahitza);\\r\\n\\r\\n\\t\\tpasswordField.setEchoChar('*');\\r\\n\\t\\tpasswordField.setBounds(283, 269, 86, 20);\\r\\n\\t\\tgetContentPane().add(passwordField);\\r\\n\\r\\n\\t\\tlblErroreakonektatu = new JLabel();\\r\\n\\t\\tlblErroreakonektatu.setHorizontalAlignment(SwingConstants.CENTER);\\r\\n\\t\\tgetContentPane().add(lblErroreakonektatu);\\r\\n\\r\\n\\t\\tlblIzena = new JLabel(\\\"Izena:\\\");\\r\\n\\t\\tlblAbizenak = new JLabel(\\\"Abizenak:\\\");\\r\\n\\t\\tlblJaioData = new JLabel(\\\"Jaio data:\\\");\\r\\n\\r\\n\\t\\t// erregistratu ematerakoan agertu behar diren bariableak\\r\\n\\t\\tbtnErregistratuNahi.addActionListener(new ActionListener() {\\r\\n\\t\\t\\tpublic void actionPerformed(ActionEvent arg0) {\\r\\n\\t\\t\\t\\tMetodoakLeihoAldaketa.seigarrenLeihoa(hartutakoOstatua, prezioTot, sartzeData, irtetzeData, logelaTot, pertsonaKop, pentsioMota, hartutakoZerbitzuArray, gosaria);\\r\\n\\t\\t\\t\\tdispose();\\r\\n\\t\\t\\t}\\r\\n\\t\\t});\\r\\n\\t\\tbtnErregistratuNahi.setBounds(227, 122, 122, 25);\\r\\n\\t\\tgetContentPane().add(btnErregistratuNahi);\\r\\n\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"42c74f690a1a5bbf4e895b5db12ba9b5\",\n \"score\": \"0.5099453\",\n \"text\": \"public Principal() {\\n initComponents();\\n jd_Login.setModal(true);\\n jd_Login.pack();\\n jd_Login.setVisible(true);\\n jd_Login.setLocationRelativeTo(jd_Login);\\n DefaultComboBoxModel model = (DefaultComboBoxModel) jcb_Receptor.getModel();\\n model.addElement(\\\"Kim\\\");\\n jcb_Receptor.setModel(model);\\n\\n DefaultComboBoxModel model2 = (DefaultComboBoxModel) cb_destinatario.getModel();\\n model2.addElement(\\\"Kim\\\");\\n cb_destinatario.setModel(model2);\\n //primerModelo = (DefaultTableModel) jt_tabla.getModel(); \\n if (estado == false) {\\n this.setVisible(false);\\n }\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"bfd1f434601a08603b9a4dd2e0d1d5eb\",\n \"score\": \"0.5097754\",\n \"text\": \"private void aggiornamentoSalvataggio() {\\n\\t\\tSharedPreferences pref = getSharedPreferences(\\\"CARPOOLING\\\", MODE_PRIVATE);\\n\\n\\t\\tif(pref.getInt(\\\"checked\\\", -1)==1){\\n\\t\\t\\tString user = pref.getString(\\\"username\\\", \\\"-1\\\");\\n\\t\\t\\tString pass = pref.getString(\\\"password\\\", \\\"-1\\\");\\n\\t\\t\\tif(!user.equalsIgnoreCase(username.getText().toString()) || !pass.equalsIgnoreCase(password.getText().toString())){\\n\\t\\t\\t\\tEditor ed = pref.edit();\\n\\t\\t\\t\\ted.putString(\\\"username\\\",username.getText().toString() );\\n\\t\\t\\t\\ted.putString(\\\"password\\\", password.getText().toString());\\n\\t\\t\\t\\ted.commit();\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"0a1346c1ff089dba27f57d4f37f9f0b7\",\n \"score\": \"0.50828105\",\n \"text\": \"private void signInButtonHandler(ActionEvent e) {\\n try {\\n Voter voter = this.model.findVoter(this.emailTextField.getText());\\n\\n if (voter.isEligible(this.election)) {\\n Ballot ballot = this.model.getBallot(voter, this.election);\\n\\n SingleBallotFormGUI singleBallotFormGUI =\\n new SingleBallotFormGUI(this.model, this.election, voter, ballot, this);\\n\\n singleBallotFormGUI.start(this.primaryStage);\\n } else {\\n this.errorTxt.setText(voter.getName().toString() + \\\"\\\\nis not eligible\\\");\\n }\\n } catch (InexistentVoterException exc) {\\n this.errorTxt.setText(\\n \\\"Voter with email (\\\" + this.emailTextField.getText() + \\\") is not in our database\\\");\\n } catch (Exception exc) {\\n this.errorTxt.setText(exc.getMessage());\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"82b0c4764e2579a1a5e3266a11bfa035\",\n \"score\": \"0.50758195\",\n \"text\": \"@Override\\r\\n protected void onSubmit() {\\n if (isABozo(user.getName())) {\\r\\n \\r\\n // the final parameter is the default message if no\\r\\n // properties file found\\r\\n String errMsg = getLocalizer().getString(\\r\\n \\\"bozo.errors.isABozo\\\", UserPage.this,\\r\\n \\\"No bozos allowed default\\\");\\r\\n \\r\\n error(errMsg);\\r\\n \\r\\n \\r\\n } else {\\r\\n PageParameters pageParameters = new PageParameters();\\r\\n pageParameters.add(\\\"name\\\", user.getName());\\r\\n pageParameters.add(\\\"age\\\", Integer.toString(user.getAge()));\\r\\n pageParameters.add(\\\"nickName\\\", user.getNickName());\\r\\n \\r\\n setResponsePage(SuccessPage.class, pageParameters);\\r\\n }\\r\\n \\r\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6b55c0d037eb7162ba203280449d71ef\",\n \"score\": \"0.50716877\",\n \"text\": \"public void getValuefromGui() {\\n Username = Namet.getText();\\n Pno = Phno.getText();\\n\\n email = Email.getText();\\n System.out.println(email);\\n\\n\\n Rolval = Rolecb.getSelectedItem().toString();\\n\\n pwd = String.valueOf(p1.getPassword());\\n\\n\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"6cf90c49c3cc8c6368de1ea711c0463f\",\n \"score\": \"0.50690055\",\n \"text\": \"public void eveModificar() {\\n int filaSeleccionada = panelUsuarios.getTablaUsuarios().getSelectedRow();\\n\\n if (filaSeleccionada >= 0) {\\n\\n this.nombreUsuario =\\n panelUsuarios.getTablaUsuarios().getValueAt(filaSeleccionada, 1).toString();\\n \\n int opc =\\n JOptionPane.showConfirmDialog(\\n null,\\n \\\" Desea modificar el usuario: \\\" + nombreUsuario + \\\"? \\\",\\n \\\"Confirmar modificacion \\\",\\n JOptionPane.YES_NO_OPTION,\\n JOptionPane.QUESTION_MESSAGE);\\n /*\\n * Le preguntare al usuario si en realidad desea modificar la categoria.\\n */\\n\\n if (opc == 0) {\\n\\n\\n panelUsuarios.getModeloTabla().removeRow(filaSeleccionada);\\n UsuarioDTO consultarUsuario = usuarioDAO.Consultar(this.nombreUsuario);\\n\\n int i;\\n for (i = 0; i < this.panelUsuarios.getComboTipoUsuario().getItemCount(); i++) {\\n\\n if (this.panelUsuarios.getComboTipoUsuario().getItemAt(i).getIdTipoUsuario()\\n == consultarUsuario.getIdTipoUsuario()) {\\n\\n //this.panelUsuarios.getComboTipoUsuario().setSelectedIndex(i);\\n break;\\n }\\n }\\n\\n panelUsuarios.llenarFormulario(consultarUsuario, i);\\n }\\n } else {\\n\\n JOptionPane.showMessageDialog(null, \\\"Seleccione la fila a eliminar\\\");\\n }\\n }\",\n \"title\": \"\"\n },\n {\n \"docid\": \"3cd8ca17581107b7d5fbc049574bebf9\",\n \"score\": \"0.50675386\",\n \"text\": \"public void exibirUsuarios() {\\n\\t\\tTreeSet<Usuario> listaUsuarios = Banco.getUsuarios();\\r\\n\\t\\tSystem.out.println(\\\"Lista de usuarios:\\\");\\r\\n\\t\\tExibir.exibirUsuarios(listaUsuarios);\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"55cf00dce7a07eb2735ba4a50553d5ee\",\n \"score\": \"0.5067524\",\n \"text\": \"public void volar() {\\n\\t\\t\\r\\n\\t}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"2d5ee208c129e59cd69e3d9e90352baf\",\n \"score\": \"0.5066552\",\n \"text\": \"public void clicSurBoutonGauche()\\n// le clic dans la ZML exécutera le code de clic de ce bouton\\n// A Faire : Ajoutez le code sur le clic de ce bouton\\n// Info(\\\"clic sur \\\"+MoiMême..Nom)\\n{\\nsuper.clicSurBoutonGauche();\\n\\n// ouvre(profil,id)\\nWDAPIFenetre.ouvre(GWDPGruppeto.getInstance().mWD_Profil,new WDObjet[] {vWD_id} );\\n\\n}\",\n \"title\": \"\"\n },\n {\n \"docid\": \"cbddc483300e1247f20073a941419f68\",\n \"score\": \"0.50649035\",\n \"text\": \"public boolean placerParcelle(Parcelle parcelle, Coordonnees coordonnees) {\\n if (! mainParcelles.contains(parcelle)) return false;\\n if (Plateau.getInstance().placerParcelle(parcelle, coordonnees)){\\n remettreParcellesSaufUne(parcelle);\\n\\t\\t\\t\\t\\tAfficheur.getInstance().afficherAction(nom+\\\" place une Parcelle \\\"+parcelle.getCouleur()+\\\" en \\\"+coordonnees);\\n return true;\\n }\\n return false;\\n }\",\n \"title\": \"\"\n }\n]","isConversational":false}}}],"truncated":false,"partial":false},"paginationData":{"pageIndex":9896,"numItemsPerPage":100,"numTotalItems":995064,"offset":989600,"length":100}},"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc3OTAzNzcxMCwic3ViIjoiL2RhdGFzZXRzL250aGFrdXIvY29ybnN0YWNrLWphdmEtdjEtdGV2YXRyb24tMU0iLCJleHAiOjE3NzkwNDEzMTAsImlzcyI6Imh0dHBzOi8vaHVnZ2luZ2ZhY2UuY28ifQ.PKBE8UiF9WfnyOi9bB6eMR42YHEwUHRxMAE4UbfKJymlfyDxmp0HE1lggEOhMpt6l7f5HV3iqXm8cfdXYebpAA","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":995064,"numBytesParquet":17569818855}]},"discussionsStats":{"closed":0,"open":0,"total":0},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
query_id stringlengths 32 32 | query stringlengths 7 129k | positive_passages listlengths 1 1 | negative_passages listlengths 88 101 |
|---|---|---|---|
98f2a207a06ddf7ead5eef3b4df6ea37 | todo : implement (especially leveraging the new pathToDomainBindingXref map) | [
{
"docid": "3d8561efcfbf118d667cd98b6ec7ffc1",
"score": "0.0",
"text": "@Override\n\tpublic EntityTypeLiteralSqmExpression visitEntityType(String identificationVariable) {\n\t\tthrow new NotYetImplementedException();\n\n//\t\tfinal SqmFrom fromElement = currentQuerySpecProcessingState.findNavigableBindi... | [
{
"docid": "0cb528c830fe9d1fa7b52a3132c0e220",
"score": "0.5363346",
"text": "public void setXref(List<String> xref) {\n this.xref = xref;\n }",
"title": ""
},
{
"docid": "24da9558ba9b0216051cfda34ca4a9d0",
"score": "0.53610027",
"text": "PropertyForeignXRef() {\n super(... |
a16c0449293e5d1a4f6753c0b5e6b7fe | EC stored in the Identity Proof, if present, in the form of an X509Certificate object. | [
{
"docid": "2d98449df7e9e52e2d578c0371be6d98",
"score": "0.57803816",
"text": "public X509Certificate getEkCred() \r\n\t\t\tthrows CertificateException {\r\n\t\treturn X509Certificate.getInstance(ekCredBytes);\r\n\t}",
"title": ""
}
] | [
{
"docid": "2e1c65fb454d3544c69754e597956c5c",
"score": "0.6391599",
"text": "public X509Certificate getCertificate() {\n\t\t// TODOdone: implement\n\t\t//\n\t\t// This method should throw IllegalStateException if anything goes wrong with the card.\n\t\t// Make sure to set original exception as new exce... |
00538bf47ab2b235ece0801b23b4c164 | resolveProxies?="resolving"? & (containment?="contains" | container?="container") | local?="local"? & "refers" | [
{
"docid": "e91227e2e64fa5f24eefcfc97caea90b",
"score": "0.0",
"text": "public Alternatives getAlternatives_1() { return cAlternatives_1; }",
"title": ""
}
] | [
{
"docid": "ebf4f43549fbef8e86914b33c1d43952",
"score": "0.54564196",
"text": "public boolean hasXReproxy();",
"title": ""
},
{
"docid": "d45777b040ca9f5e7a2d915a3dd155ad",
"score": "0.5374777",
"text": "ResourceManager.ReferenceList filterTargetContainers(ResourceResolver resolver,\... |
b1162e2446b39a6051ee390c7febe731 | Check classpath if it has the classes/jars needed. | [
{
"docid": "18d95dc27d6ed48c5b36a7c3c1fa4203",
"score": "0.72009593",
"text": "public static String checkCCSClasspath() {\n // List of jars to check for\n //String[] jars = {\"mail.jar\", \"activation.jar\"};\n String[] jars = {};\n\n // Return\n return checkClasspath(... | [
{
"docid": "69fa9dbded2efa373a54db15b51fef1f",
"score": "0.6689511",
"text": "public static String checkClasspath(String[] jars) {\n // Return value\n StringBuffer missing = new StringBuffer();\n\n // Get the classpath individual path list\n String cpath = getClasspath();\n ... |
3c577dcf31a601db901d945da1ad38a8 | Disallow temporary tables presence in sql statement (ex: in view definitions) | [
{
"docid": "328f5d4234d04acfc94c0433b582ebad",
"score": "0.737758",
"text": "public void disallowTemporaryTables() {\n catalog.disallowTemporaryTables();\n }",
"title": ""
}
] | [
{
"docid": "ac34c49aeaa05ae7fe6e0cc2427cd48d",
"score": "0.6984336",
"text": "private boolean isImplicitTemporaryTable()\n/* */ {\n/* 709 */ return this.isImplicitTempTable;\n/* */ }",
"title": ""
},
{
"docid": "f92561582fcecaf269a318a667f869db",
"score": "0.5387518",
... |
79831649a47af18f400500297d92a87e | $ANTLR end "rule__Wh__ElementsAssignment" $ANTLR start "rule__Program__NameAssignment_1" InternalWh.g:1248:1: rule__Program__NameAssignment_1 : ( RULE_ID ) ; | [
{
"docid": "42a58a6ba59515ac1760c8cff9c9e3f5",
"score": "0.75023454",
"text": "public final void rule__Program__NameAssignment_1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \t\n try {\n // InternalWh.g:1252:1: ( ( RULE_ID ) )\n //... | [
{
"docid": "5bdc52cc8cb180bcd8f5b40462c62260",
"score": "0.7039849",
"text": "public final void rule__Application__NameAssignment_1() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.ese.android.dsl.ui/src-gen/org/e... |
33241987103523042fcca599a11351ba | private static MergeSort mergeSort = new MergeSort(); | [
{
"docid": "43c6e51818506c49e6c22cb902d8ff0d",
"score": "0.0",
"text": "public int[] bubbleSort(int n){\n return model.createArray(n);\n }",
"title": ""
}
] | [
{
"docid": "bb176cb925f1819bbbdd9f788bf93801",
"score": "0.86318505",
"text": "private MergeSort() {}",
"title": ""
},
{
"docid": "a5c3f1517c05d7d7d411b4a5cd43010f",
"score": "0.85342133",
"text": "private MergeSort() { }",
"title": ""
},
{
"docid": "b42c57ec5d6754e0e3f3... |
0bca5d91975908ac3dccc714cc4a5a86 | Run the void ignorableWhitespace(char[],int,int) method test. | [
{
"docid": "b2910d9bdd0ac166081b72d1d8f3144a",
"score": "0.63422763",
"text": "@Test\n\tpublic void testIgnorableWhitespace_fixture6_1()\n\t\tthrows Exception {\n\t\tSequentialTreeBuilder fixture = getFixture6();\n\t\tchar[] ch = new char[] {' ', '\\n', 'a', '�'};\n\t\tint start = 1;\n\t\tint length = 7... | [
{
"docid": "fc0b8087d23e2f4fc17d92d6c7157acf",
"score": "0.6917523",
"text": "@Override\n\tpublic void ignorableWhitespace(char[] arg0, int arg1, int arg2) throws SAXException {\n\n\t}",
"title": ""
},
{
"docid": "25579c843759c1e11546a3991f58a84f",
"score": "0.6760093",
"text": "publ... |
2e7b319efb388f5e39ed04a8124a180b | Starts the Timer controlling the keepalive signal. | [
{
"docid": "ca3ace397c4e3232054a0665d4152688",
"score": "0.6267947",
"text": "public static void start() {\r\n\t\tt = new Timer();\r\n\t\tt.scheduleAtFixedRate(new TimerTask() {\r\n\r\n\t\t\t@Override\r\n\t\t\tpublic void run() {\r\n\r\n\t\t\t\tCommandSender.INSTANCE.sendCommand(COMMAND_RESETWATCHDOG\r\... | [
{
"docid": "92fe40177a93a27fd14c055c4b5b512d",
"score": "0.6875029",
"text": "public void startTimer() {\n timer = new Timer();\n\n //initialize the TimerTask's job\n initializeTimerTask();\n\n //schedule the timer, to wake up every 1 second\n timer.schedule(timerTask,... |
f36bfd092afa4a2c3c8502d7facf3bac | check va cham item | [
{
"docid": "de3c9e82c1a24c5dab50bc6665c6198d",
"score": "0.6636064",
"text": "public void checkItem() {\n Entity t = BombermanGame.checkCollisionItem(this.rectangle);\n if (t instanceof SpeedItem) {\n speed ++;\n ((SpeedItem) t).afterCollision();\n SoundEff... | [
{
"docid": "c0927a2d53f169885004a7489578a101",
"score": "0.69069225",
"text": "public boolean usesItem(Item item){\n for (char c : item.getName().toCharArray()){\n if(!content.contains( String.valueOf(c) )){\n return false;\n }else {\n// count++... |
6b14ac1150b43471eb4d2beb70c81e86 | $ANTLR end "rule__JvmLowerBound__Group__1__Impl" $ANTLR start "rule__CheckCatalog__PackageNameAssignment_2" ../com.avaloq.tools.dslsdk.check.ui/srcgen/com/avaloq/tools/dslsdk/check/ui/contentassist/antlr/internal/InternalCheck.g:17532:1: rule__CheckCatalog__PackageNameAssignment_2 : ( ruleQualifiedName ) ; | [
{
"docid": "ebaa831db893416c202837610f7e4812",
"score": "0.75997925",
"text": "public final void rule__CheckCatalog__PackageNameAssignment_2() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \r\n try {\r\n // ../com.avaloq.tools.dslsdk.c... | [
{
"docid": "28fbc09ef9607bc9c3b7e120b7670566",
"score": "0.74448395",
"text": "public final void rule__CheckCatalog__Group__2__Impl() throws RecognitionException {\r\n\r\n \t\tint stackSize = keepStackSize();\r\n \r\n try {\r\n // ../com.avaloq.tools.dslsdk.check.ui/s... |
9b58776d6a27f5611ca321c74a6971d7 | Calendar c = Calendar.getInstance(); String hora = Integer.toString(c.get(Calendar.HOUR)); | [
{
"docid": "bf82e0e5133aee9ef6524825a382b843",
"score": "0.0",
"text": "public String getHours() {\n\n\t\treturn \"numsei\";\n\t}",
"title": ""
}
] | [
{
"docid": "fc82d28ce3355cf5218d68fc4c4044df",
"score": "0.78849906",
"text": "private String horaActual(){\n\t\t\n Calendar calendarioAhora = Calendar.getInstance();\n Date dateAhora = calendarioAhora.getTime();\n\t\tString hora = \"\"+ dateAhora.getHours() + \"\";\n String minutos... |
9e569cf29fc4ce98ef46a7bcd2d8425a | Saves the the information associated with a case to persistent storage. | [
{
"docid": "bd1cb5fcfd60e8d1b46c9d45be00e975",
"score": "0.627447",
"text": "public boolean saveCase(UUID caseID, long cprNumber, String type, String mainBody,\n LocalDate dateCreated, LocalDate dateClosed, int departmentID, String inquiry);",
"title": ""
}
] | [
{
"docid": "2d15a14c055983cac775a1ef5e64b55c",
"score": "0.66868985",
"text": "@Override\n\tpublic void saveCaseZj(CaseZj caseZj) {\n\t\tcaseZj.setId(null);\n\t\tthis.saveOrUpdateObject(caseZj);\n\t}",
"title": ""
},
{
"docid": "f45049faddb80b52fd0f9483b0de798b",
"score": "0.6284952",
... |
f1957558336a13e7c00a6934e2db24b1 | Gets the os architecture. | [
{
"docid": "c8e0c4fc3d3ceb46b806d71eb286d9cd",
"score": "0.7616683",
"text": "public final ProcessorArchitectureXml getosArchitecture() {\n\t\treturn this.osArchitectureField;\n\t}",
"title": ""
}
] | [
{
"docid": "a6390913f7c2ad87cac00ef8a4f8973c",
"score": "0.8237745",
"text": "public static String getOsArch() {\n return System.getProperty(\"os.arch\");\n }",
"title": ""
},
{
"docid": "bcada3f6a976573eb6be6268d02c0651",
"score": "0.80106694",
"text": "public String getOs... |
b1dd589ca50cf838965a2b85b16e37f6 | end default constructor constructor, the root of the tree will contain the specified item, and there is no children | [
{
"docid": "79727349a03fe4b5d8c2c3d1acb22c32",
"score": "0.6914989",
"text": "public BinaryTreeBasis(E rootItem) {\r\n\t\troot = new TreeNode<E>(rootItem, null, null);\r\n\t}",
"title": ""
}
] | [
{
"docid": "12f074e8f6def51dd2ece1de7cfd4073",
"score": "0.72578114",
"text": "GTUBinarySearchTree(E item){\n root = new Node<>(item);\n isPostFound = false;\n }",
"title": ""
},
{
"docid": "2d8778b150ac3d6b42e24d0edac5882b",
"score": "0.7073178",
"text": "public Tre... |
b1b3168e4816034341669e7523d1b576 | Return a String representation of the array taking into account size. | [
{
"docid": "a7c38d21292a1437b67316e5b91257c2",
"score": "0.7104085",
"text": "public static String toString(int[] data, int size) {\n String s = \"[\";\n for(int i = 0; i < data.length - 1; i++) {\n if(i == size - 1) s += data[i] + \" | \";\n else s += data[i] + \", \";\n }\n if(da... | [
{
"docid": "50a9f8cd4c383c7ae7f1209ef9563117",
"score": "0.8210927",
"text": "@Override\n public String toString() {\n return new String(array, 0, size);\n }",
"title": ""
},
{
"docid": "e00ad4e2b663476f082828a09b2b753f",
"score": "0.7869855",
"text": "public... |
e12888bd08a4161bef2bf5142f4b3fbc | Build call for addToLibrary | [
{
"docid": "06fb63bbfeb6206e4a0ed4b28276e490",
"score": "0.45119715",
"text": "public com.squareup.okhttp.Call addToLibraryCall(AddLibraryItemRequest addLibraryRequest, final ProgressResponseBody.ProgressListener progressListener, final ProgressRequestBody.ProgressRequestListener progressRequestListener... | [
{
"docid": "cc3a497fe2a313f597cb4919101d59f8",
"score": "0.71464884",
"text": "void onStartBuildingLibrary();",
"title": ""
},
{
"docid": "26b554b8179f962ab80b0cd168efdc24",
"score": "0.6633432",
"text": "void onFinishBuildingLibrary(AsyncBuildLibraryTask task);",
"title": ""
}... |
a843f1bbcca615bcf5840d4288c70bfe | Returns a new instance of this fragment for the given section number. | [
{
"docid": "2d0eee8ed37a09091bea4a09a48f1949",
"score": "0.7377193",
"text": "public static TicketCreateFragment newInstance(int sectionNumber) {\n TicketCreateFragment fragment = new TicketCreateFragment();\n Bundle args = new Bundle();\n args.putInt(ARG_SECTION_NUMBER, sectionNumb... | [
{
"docid": "c65e10ed2b21a3ddb7715f5e9c06908f",
"score": "0.77542657",
"text": "public static Fragment newInstance(int sectionNumber) {\n if (sectionNumber == 1) {\n return new UpdateInformationFragment();\n }\n if (sectionNumber == 2) {\n re... |
8eb4eef8af8aa1e14e347ade3e117b3c | Returns the current position in the content media | [
{
"docid": "81c07f1384416e0d9ca7f424ce81a7b5",
"score": "0.76461095",
"text": "@Override\n public long getCurrentPosition() {\n long currentPosition = contentHasCompleted ? getContentDuration():brightcoveExoPlayerVideoView.getCurrentPosition();\n return currentPosition;\n }",
"ti... | [
{
"docid": "ed9e2cff584ef0e3ab3c53af8b221fff",
"score": "0.75430053",
"text": "@Override\n\tpublic int getCurrentPosition() {\n\t\treturn FvVideoPlay.getCurrentPosition();\n\t}",
"title": ""
},
{
"docid": "c64a1076ce15b846f14951f511cc8a63",
"score": "0.73534274",
"text": "public int ... |
576791847d19fbc1e93f9f1e90f27e78 | TrackPlayer player = new TrackPlayer(trackPaths); player.play(); | [
{
"docid": "5949b1a218d29992add62de550094656",
"score": "0.0",
"text": "@Test\n\tpublic void playTest() {\n\t}",
"title": ""
}
] | [
{
"docid": "76fc9e2eba72765be30c3ea72bedf6a4",
"score": "0.77513015",
"text": "void playTrack(String id);",
"title": ""
},
{
"docid": "ee07d88ca6a90ae797ef4e41b984291f",
"score": "0.7727022",
"text": "public abstract void playTrack();",
"title": ""
},
{
"docid": "77bcdf17... |
b8122ba6d588c9f10bd6836c723e6b72 | Returns a new object of class 'Checking Account'. | [
{
"docid": "e4bc3178b123c5bd16acc032bc844d3b",
"score": "0.83516186",
"text": "CheckingAccount createCheckingAccount();",
"title": ""
}
] | [
{
"docid": "79caf1026c44dba59583bfa4b0f7f975",
"score": "0.79216284",
"text": "public CheckingAccount addCheckingAccount()\n {\n CheckingAccount ca = new CheckingAccount();\n listOfAccounts.add( ca );\n return ca;\n }",
"title": ""
},
{
"docid": "2fa28dd15038b7a3a74553db3f... |
93893d3fb007c5c288ccf691186f59df | Range Managemenet These methods work on allranges, and must all be synchronized | [
{
"docid": "a2fb1abbaa795c9ebb0ca4250e65c786",
"score": "0.0",
"text": "public RangeList getRangeList() {\n List<PageExtractor> extractors = viewport.getDocumentPanel().getParser().getPageExtractors();\n List<Range> combined = new ArrayList<Range>();\n synchronized(allranges) {\n ... | [
{
"docid": "efa5d19e6b67ec3e920d6c2eb4c3bffa",
"score": "0.72773284",
"text": "void setRange(Range range);",
"title": ""
},
{
"docid": "7a5a593a145d307b75e14ced1af2ea0e",
"score": "0.7099788",
"text": "public void setRange(int range) { this.range = range; }",
"title": ""
},
{... |
f8638ed844e36959487d82c2c10c4b8f | add edge between person and friend if person or friend not exists in graph, it will be automatically added | [
{
"docid": "9dccf25f5c6415d665cef31910cfc942",
"score": "0.79485023",
"text": "public boolean addEdge(Person person, Person friend) {\r\n\t\t// get index\r\n\t\tint personIndex, friendIndex;\r\n\t\tpersonIndex = getPersonIndex(person);\r\n\t\tfriendIndex = getPersonIndex(friend);\r\n\t\t\r\n\t\t// autom... | [
{
"docid": "c4eb070213d0e314ee6ba570a242de54",
"score": "0.65659845",
"text": "@Override\n\tpublic void addEdge(Relation relation)\n\t{\n\t}",
"title": ""
},
{
"docid": "61ac06b7f4e97bbc7c26fcfbdf6b62eb",
"score": "0.65295005",
"text": "boolean addUndirectedEdge(V v1, V v2, E info) t... |
c025e30683d94b1ee9f098b603542e25 | Simulate a billrun on the first and verify we bill the current period start date aligns with BCD endDate after targetDate and nextBCD | [
{
"docid": "7a384e94420b48004b21a4f1652fcdc0",
"score": "0.7001213",
"text": "@Test(groups = \"fast\")\n public void testScenarioBillRun_G() {\n final LocalDate targetDate = new LocalDate(\"2022-12-01\");\n final LocalDate start = new LocalDate(\"2022-11-07\");\n final LocalDate ... | [
{
"docid": "93cc2e1e0e39c2887bbc44d3c0da375a",
"score": "0.74048185",
"text": "@Test(groups = \"fast\")\n public void testScenarioBillRun_D() {\n final LocalDate targetDate = new LocalDate(\"2022-11-01\");\n final LocalDate start = new LocalDate(\"2022-09-01\");\n final int bcd =... |
95216496092c81c84c8d4f47d2eb90d6 | Called to update the entity's position/logic. | [
{
"docid": "66faa6eb3def88d0c1ce4ee4dc8c1615",
"score": "0.69447327",
"text": "public void onUpdate ( ) {\n this.onEntityUpdate ( );\n }",
"title": ""
}
] | [
{
"docid": "7830962f34c2902939c092169e449994",
"score": "0.755317",
"text": "@Override\n public void updateEntity()\n {\n }",
"title": ""
},
{
"docid": "ac8018d25aeff71357501e98763e1778",
"score": "0.74352086",
"text": "@Override\n\tpublic void updatePosition() {\n\n\t}",
... |
ed26f83cd13b6d82269bddf1f133c80e | $ANTLR end "rule__DisjunctionExpressionConstraint__Group_1_0_0__1__Impl" $ANTLR start "rule__ConjunctionExpressionConstraint__Group__0" InternalEclParser.g:1656:1: rule__ConjunctionExpressionConstraint__Group__0 : rule__ConjunctionExpressionConstraint__Group__0__Impl rule__ConjunctionExpressionConstraint__Group__1 ; | [
{
"docid": "fc9db79e05ad26fa27242589d58fae7f",
"score": "0.7850679",
"text": "public final void rule__ConjunctionExpressionConstraint__Group__0() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \t\n try {\n // InternalEclParser.g:1660:1: ( rule__C... | [
{
"docid": "aff36afb44514852fe4d46a2b18ae39f",
"score": "0.8320501",
"text": "public final void rule__ConjunctionExpressionConstraint__Group_1_0__0__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \t\n try {\n // InternalEclParser.g:1779:1:... |
21b8916b49240acbbf4b3440578fc8e8 | Simple startTopicMap, followed by an endTopicMap event. | [
{
"docid": "db9fb01a32dbac99eb869f91b6f4496e",
"score": "0.5303051",
"text": "public void testEmpty() throws Exception {\r\n assertEquals(0, _tm.getTopics().size());\r\n assertEquals(0, _tm.getAssociations().size());\r\n _handler.startTopicMap();\r\n _handler.endTopicMap();\r... | [
{
"docid": "9a03e166b7e332a8592e6aafb2678c19",
"score": "0.6188883",
"text": "public void testTopicMapReifier() throws Exception {\r\n String ref = \"http://sf.net/projects/tinytim/test#1\";\r\n _handler.startTopicMap();\r\n _handler.startReifier();\r\n _handler.startTopic(Re... |
ccbd7a2e392567cb0360fe2120f63135 | find the animal object belonging to the cover object | [
{
"docid": "4d84467cf667688b21122dfd16fe926a",
"score": "0.75671476",
"text": "private AbstractCoverObject getCoverFromAnimal (AbstractAnimalObject anAnimal) {\n\t\tfor (AbstractCoverObject z : coverObjects) {\n\t\t\tif (z.getPopUpObject() != null && z.getPopUpObject().equals(anAnimal)) {\n\t\t\t\tretur... | [
{
"docid": "205ee9c49324ded5ba3eac19d3f72267",
"score": "0.5640593",
"text": "private Habitat findHabitat(Animal animal) {\n for (Habitat home : this.habitatList) { \n String classAnimal = this.habitatsHoldingAnimals.get(home).getClass().getName();\n int sizeMeters = animal.getSizeMeters();... |
224c3d28ab3d9700644dfa9cae30e7b6 | This implementation substitutes the factory itself as the key for the adapter. | [
{
"docid": "6b423036a727180350a4d88a2a7031c0",
"score": "0.0",
"text": "@Override\r\n\tpublic Adapter adapt(Notifier notifier, Object type) {\r\n\t\treturn super.adapt(notifier, this);\r\n\t}",
"title": ""
}
] | [
{
"docid": "d8cc43bbb1527e92d87b8e9bd6b47483",
"score": "0.6527308",
"text": "@Override\n public String getKey() {\n return adapterClass.getName();\n }",
"title": ""
},
{
"docid": "e3afbbdcc654f568266b61024d9747a6",
"score": "0.58962953",
"text": "@Override\n\tToken getF... |
b11c5e897d9f1d1ed37a557742881b94 | Expansion: find a librarian by his name | [
{
"docid": "f58e657ede7e63612ec96208b05c991f",
"score": "0.76092255",
"text": "Librarian findByLibName(String name);",
"title": ""
}
] | [
{
"docid": "48cb770f7472fecc457707a55a8250ef",
"score": "0.590651",
"text": "@Override\n public Librarian findByLibrarianName(String loginname) {\n return iLibrarianDao.findByLiararianName(loginname);\n }",
"title": ""
},
{
"docid": "0c06f5a69930cc511197aa112d563258",
"score... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "2003482621426b916c255d70ab04848d",
"score": "0.0",
"text": "@Override\n\tpublic void onClick(View view) {\n\n\t\tif (view.getId() == R.id.btn_submit) {\n\t\t\tauthentication = new Authentication(getActivity());\n\t\t\tgetChallengeDetailsItems = new GetChallengeDetailsItems();\n\t\t\tProfile ... | [
{
"docid": "d7194e467f51e022c107531d8614b6a3",
"score": "0.6905833",
"text": "@Override\r\n\tpublic void anular() {\n\t\t\r\n\t}",
"title": ""
},
{
"docid": "cdf542363f5b089e84183e3d9020935f",
"score": "0.6697644",
"text": "@Override\n\t protected void ramana() {\n\t\t\n\t}",
"ti... |
bd2098dfe9bd9ddca107ce3681568c74 | Retrieves the depth of this Texture3D object. | [
{
"docid": "463a72baaf20cef061179e3f3bdc0219",
"score": "0.8067443",
"text": "public int getDepth() {\n if (isLiveOrCompiled())\n if(!this.getCapability(ALLOW_SIZE_READ))\n\t\tthrow new CapabilityNotSetException(J3dI18N.getString(\"Texture3D2\"));\n\n\treturn ((Texture3DRetained)this.r... | [
{
"docid": "6714bda6b4bfb4f5558f4bfb05ba7a6a",
"score": "0.7360684",
"text": "public float getDepth() {\n return this.depth;\n }",
"title": ""
},
{
"docid": "2c46e4bcd134ecf66941411d43d88c4c",
"score": "0.72649056",
"text": "Double getDepth();",
"title": ""
},
{
... |
b54d81cb2ea7bfeb0e84eb31e91545b5 | Do nothing but close the dialog | [
{
"docid": "c6a31cd76d6be8596a0a132c8b2688aa",
"score": "0.0",
"text": "public void onClick(DialogInterface dialog, int which) {\n favorites.delete_menu_item(ids_menus);\n // Toast.makeText(getContext(),item_type.getText().toString() + \" is removed\" , Toas... | [
{
"docid": "c91505fe2687a062cf56a276be0d6bbf",
"score": "0.79925436",
"text": "protected void dismissdialog() {\n }",
"title": ""
},
{
"docid": "4e3b9e603dfdf507baf02b6992a18803",
"score": "0.7918564",
"text": "@Override\n\tpublic void close() {\n\t\tif(dialog.isShowing()){\n\t\t\... |
c5ad51f819cde621c0b75220df839103 | Initialise all the cards of the deck | [
{
"docid": "53afd822259466ba5545d27d2c806efd",
"score": "0.73523074",
"text": "private void initCards() {\r\n\t\tcards.add(new Card(\"Mrs Peacock\", \"Character\", \"mrspeacock.png\"));\r\n\t\tcards.add(new Card(\"Mrs White\", \"Character\", \"mrswhite.png\"));\r\n\t\tcards.add(new Card(\"Miss Scarlet\"... | [
{
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"score": "0.84051144",
"text": "public void initDeck() {\n for (int m = 1; m <= 12; m++) {\n for (int d = 0; d <=3; d++) {\n /**\n * 4m-4+d ranges from 0 to 47 during the loop\n */\n ... |
4331b7f58497e784af783df668ce50fd | / renamed from: c | [
{
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"title": ""
}
] | [
{
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{
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... |
4f5f2a5dd9be334ce6e538b1a6487895 | self.participant>one(partic : cda::Participant2 | partic.oclIsKindOf(ccd::PatientAwareness)) | [
{
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"text": "public static boolean validateConditionEntryContainsPatientAwareness(ConditionEntry conditionEntry,\r\n\t\t\tDiagnosticChain diagnostics, Map<Object, Object> context) {\r\n\t\tif (VALIDATE_CONDITION_ENTRY_CONTAINS_PATIENT_AWARENESS_... | [
{
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bc8ad99c48880581a361393293674733 | Sets the start and end point. | [
{
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"title": ""
}
] | [
{
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{
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3a2656cdd9a82d60ba2cd8c10742cfb9 | POST /estadofichas : Create a new estadoFicha. | [
{
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{
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62f766edb5f63733d6dc877c79a8b7fb | This function always returns false because a variable symbol is never ground by definition. | [
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] | [
{
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{
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0f84b5165daf8288b14231ef42e7addf | Get the port that the standard dunit locator is listening on. | [
{
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] | [
{
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{
"docid": "3a4aef1f57e90bc65dbb57747d... |
e324c41e37fb99524fbcc4e7e735c8c9 | g.setColor(Color.CYAN); g.fillRect(xPos, yPos, cookDimensions, cookDimensions); | [
{
"docid": "c3e8eb75c60e3c79c0efe747b9336cbb",
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"text": "public void draw(Graphics2D g) {\n \tg.drawImage(icon.getImage(), xPos, yPos, 30, 30, null);\n \t\n try{\n \tfor(MyGrillSpot gs : grillSpots){\n \t\tg.setColor(Color.BLACK);\n \t\tg.drawString(gs.ch... | [
{
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},
{
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0d38dba07a01104665830c732ca7698a | Returns true if field success is set (has been assigned a value) and false otherwise | [
{
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"text": "public boolean isSetSuccess() {\n return EncodingUtils.testBit(__isset_bitfield, __SUCCESS_ISSET_ID);\n }",
"title": ""
}
] | [
{
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{
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fde10102a70c9ff3331358dfe5f04e17 | Variable Header Skip reserved byte | [
{
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{
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{
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de6ef0fa7e9e74a4dfd6f2e7ccbd83f0 | Regiester control's property binding. | [
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"title": ""
}
] | [
{
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{
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"text": "private void setupBindings(... |
cb4d40eed2a549eb1ab3b16890145102 | FIXME How to know of it is a new forum or an update ? | [
{
"docid": "0cb7d4b6d9bc2047f3e9a9bb76f4dad9",
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"text": "@Override\n public void saveForum(Forum forum) {\n\n if(indexingService != null) {\n Map<String, Object> content = new HashMap<String, Object>();\n content.put(\"forum\", forum);\n SearchEntry searchEntry =... | [
{
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"title": ""
},
{
"docid": "5840339b69c3f2721767bdde12095588",
"score": "0.6114573",
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8c837c56b423b4f43adeff28825bd7cf | Sets the maximum number of allowed datapoints. | [
{
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"title": ""
}
] | [
{
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"title": ""
},
{
"docid": "9e5fc3876e4b7654f4f257078931f02c",
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"text": "public void setMaxPoints(Double poin... |
349bafb686b37c7a5ad5cb52445ebfd3 | Returns the value of timeout for connect operation | [
{
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"score": "0.6530689",
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"title": ""
}
] | [
{
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"score": "0.8931877",
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"title": ""
},
{
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"score": "0.8836479",
"text": "int getConnectTimeout();",
"title": ""
},
{
"docid": "8ffa6c7a448a455624d... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "6dfb03a80adb1d13c6d66bb82f3f97d0",
"score": "0.0",
"text": "public static void main(String[] args) {\n\t\tString input = \"1.1.1.1\";\n\t\tString result = solution(input);\n\t\tSystem.out.println(\"Result: \"+result);\n\t}",
"title": ""
}
] | [
{
"docid": "b7c706d331e2b507ec0ff8404ad87dc7",
"score": "0.69742316",
"text": "@Override\r\n\t\t\tpublic void crispel() {\n\t\t\t\t\r\n\t\t\t}",
"title": ""
},
{
"docid": "76b3966c8e3f64884c4127d1a3df09a8",
"score": "0.68059677",
"text": "@Override\r\n\t\t\tpublic void maruti() {\n\t... |
f9a34cc5bf7a9a346442c41ce6854485 | / Include an extract of the WO portion of the 5.4.3 license agreement. Not ideal as 5.3.3 is slightly different, but it is better than nothing. | [
{
"docid": "4c730c0efa28dd20ce4518bfc2104598",
"score": "0.6563124",
"text": "private static void showLicense() {\n System.out.println(\"WebObjects License Agreement extract:\\n\\n\" + \n \"Subject to the terms and conditions of this License, you may incorporate the\\n\" +\n \"WebObject... | [
{
"docid": "deb38a7df30b7b8fa694a4e95ad70fa2",
"score": "0.68705684",
"text": "private String extractLicence() {\n\t\treturn null;\r\n\t}",
"title": ""
},
{
"docid": "888b0e41ed556d7086f6ad49bca1e354",
"score": "0.6571277",
"text": "public String mo12752a() {\n return \"GNU Ge... |
8f64fa61375cf0f75a7bce8149fd8044 | Requests the branding settings for this tenant. See | [
{
"docid": "aa7ab1f9709cf685999d2215b2a49905",
"score": "0.84251064",
"text": "public Request<BrandingSettings> getBrandingSettings() {\n return request(\n HttpMethod.GET,\n new TypeReference<BrandingSettings>() {\n },\n (builder) -> builder.withPathSeg... | [
{
"docid": "5d56a61497caccd018a5e306ffe1db26",
"score": "0.6553774",
"text": "public String getBrand() {\n return brand;\n }",
"title": ""
},
{
"docid": "5d56a61497caccd018a5e306ffe1db26",
"score": "0.6553774",
"text": "public String getBrand() {\n return brand;\n ... |
7cd685d10ef0f27a63196716589bec8b | optional string mobile = 2; | [
{
"docid": "309e1e262a824700181efd2c74c67706",
"score": "0.6959121",
"text": "public Builder setMobile(\n java.lang.String value) {\n if (value == null) {\n throw new NullPointerException();\n }\n bitField0_ |= 0x00000002;\n mobile_ = value;\n onChanged();\n ret... | [
{
"docid": "71497633283a01629818c222cfda38ca",
"score": "0.75593746",
"text": "public void setMobile(String mobile) {\n\tthis.mobile = mobile;\n }",
"title": ""
},
{
"docid": "06bda0be2e896bb4c762f6ff57f9d5b5",
"score": "0.7516074",
"text": "java.lang.String getMobile();",
"ti... |
1428eeaca66b3d6a8f08d35f56b8775c | Private constructor to prevent instantation | [
{
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"score": "0.0",
"text": "private SettingsKeys() {\n // No implementation\n }",
"title": ""
}
] | [
{
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"score": "0.7677752",
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"title": ""
},
{
"docid": "63d1c88af14aaee9bb29068ad408299e",
"score": "0.76469016",
"text": "private EMFEditUtil() {\r\n // Suppress and hide default constructor. ... |
23e71abb8d0b2adfa357d260e59a9a04 | Returns true iff this player is suspended. Example: Player ih = Players.make ("Isaac Homas"); System.out.println (ih.isSuspended()); // prints false ih.changeSuspendedStatus (true); System.out.println (ih.isSuspended()); // prints true ih.changeSuspendedStatus (false); System.out.println (ih.isSuspended()); // prints f... | [
{
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"score": "0.727466",
"text": "public boolean isSuspended ()\n {\n \treturn this.getSuspend();\n }",
"title": ""
}
] | [
{
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"title": ""
},
{
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"score": "0.70989597",
"text": "public boolean isSuspended();",
"title": ""
},
{
"docid": "8557a4ec... |
4331b7f58497e784af783df668ce50fd | / renamed from: c | [
{
"docid": "b4d03b2c2171c07639b9776c46fd2d50",
"score": "0.0",
"text": "public synchronized void mo133097c(int i, String str, boolean z) {\n if (!this.f113310i) {\n this.f113318q = Integer.valueOf(i);\n this.f113317p = str;\n this.f113319r = Boolean.valueOf(z);\n ... | [
{
"docid": "1d00fef026fb7fd2155cfb66ba699fc9",
"score": "0.64592767",
"text": "void mo5289a(C5102c c5102c);",
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},
{
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"score": "0.644052",
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"title": ""
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{
"docid": "ae2ca80b4... |
be2372746aefb19cbf0448d72482830d | Asserts text actual matches with expected text , logs the test case as failed, does not stop the execution | [
{
"docid": "f576b4580b2f0e2525e4f6f4dd251950",
"score": "0.7734831",
"text": "public boolean verifyTextMatch(String expected, String actual, String message) {\n\t\ttry {\n\t\t\tassertThat(actual, equalTo(expected));\n\t\t\tlogPass(\"Verification of Text Match passed :\" + message + \", Actual: \" + actu... | [
{
"docid": "88611b072f2174d094486184b83010a2",
"score": "0.7309631",
"text": "@Test\n\tpublic void assertion_method_2(){\n\t\tAssert.assertNotEquals(ActualText, \"Tuesday, 29 January 2014\", \"Expected and actual match in assertion_method_2\");\n\t\tSystem.out.println(\"\\n assertion_method_2() -> Part ... |
1bf89447b80ec86ff401a389c9f91f7d | / access modifiers changed from: protected | [
{
"docid": "1d45e298a7976f127e5cecdd141a9230",
"score": "0.0",
"text": "public void handleGetNotifications(Parcel data, Parcel reply) {\n HashSet<String> notificationPkgs = new HashSet<>();\n if (this.mContext.checkCallingPermission(\"huawei.permission.IBINDER_NOTIFICATION_SERVICE\") != 0)... | [
{
"docid": "05a606445504484958a1c21e14b7198e",
"score": "0.7026797",
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"title": ""
},
{
"docid": "4e49f5db36ca664153e54380025b85d4",
"score": "0.6881463",
"text": "protected boolean method_21825() {\n }",
"title": ""
... |
018e3001828ab1fbd14e057e3193978e | Applies the replacements to the given source, and reformat any edited javadoc. | [
{
"docid": "aa99b2adc6374121fa35a747ad832c28",
"score": "0.5088751",
"text": "private static String applyReplacements(String source, RangeMap<Integer, String> replacements) {\n // save non-empty fixed ranges for reformatting after fixes are applied\n RangeSet<Integer> fixedRanges = TreeRan... | [
{
"docid": "667c66eaba9d17b6e5c22225f7962376",
"score": "0.63565016",
"text": "static String sanitizeJavadoc(String documentation) {\n // JavaWriter will pass the doc through String.format, so escape all '%' chars\n documentation = documentation.replace(\"%\", \"%%\");\n // Remove trailing whit... |
922b595c1688dc26306fd8aa0ed03bed | Run the String toString() method test. Verify the method returns the string TitlePage | [
{
"docid": "c647ca2279d8ba4d2d8bb279b0dd0898",
"score": "0.8092544",
"text": "@Test\r\n\tpublic void testToStringTitlePage()\r\n\t\tthrows Exception {\r\n\t\tPageName fixture = PageName.TitlePage;\r\n\r\n\t\tString result = fixture.toString();\r\n\r\n\t\tassertEquals(\"TitlePage\", result);\r\n\t}",
... | [
{
"docid": "e15e6e40917aad9f3c7eef5cd2dbf27f",
"score": "0.7078771",
"text": "@Test\r\n\tpublic void testToStringAlphabetPage()\r\n\t\tthrows Exception {\r\n\t\tPageName fixture = PageName.AlphabetPage;\r\n\r\n\t\tString result = fixture.toString();\r\n\r\n\t\t// add additional test code here\r\n\t\tass... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "5431e7138c96a0ec7fe26f95e8fc6cdf",
"score": "0.0",
"text": "public static void main(String[] args) {\n\t\tThread t=Thread.currentThread();\r\n\t\tSystem.out.println(\"Default thread\"+t);\r\n\t\tt.setName(\"threadinfothread\");\r\n\t\tSystem.out.println(\"Modified Name\"+t);\r\n\t\tSystem.ou... | [
{
"docid": "e5fa0eebc721dea67da872fd14413bc7",
"score": "0.69744676",
"text": "@Override\n\tpublic void formule() {\n\t\t\n\t}",
"title": ""
},
{
"docid": "8b7f87c22e268a87686c66398c2c442b",
"score": "0.6936331",
"text": "@Override\r\n\t\t\tpublic void atras() {\n\t\t\t\t\r\n\t\t\t}"... |
eff75a29b3afdca09caeb37be932fcae | Returns the last loan in the ordered set where groupId = &63; and bookId = &63; and borrowerId = &63;. | [
{
"docid": "909fa143af780e7d83a1648cdf1abcb8",
"score": "0.7813529",
"text": "public com.imsw.model.Loan findByG_B_B_Last(long groupId, long bookId,\n\t\tlong borrowerId,\n\t\tcom.liferay.portal.kernel.util.OrderByComparator orderByComparator)\n\t\tthrows com.imsw.NoSuchLoanException,\n\t\t\tcom.liferay... | [
{
"docid": "559203f9b0fa913c250a2680fac69978",
"score": "0.7619591",
"text": "public com.imsw.model.Loan fetchByG_B_B_Last(long groupId, long bookId,\n\t\tlong borrowerId,\n\t\tcom.liferay.portal.kernel.util.OrderByComparator orderByComparator)\n\t\tthrows com.liferay.portal.kernel.exception.SystemExcep... |
604c4c5627f0dc227c4d1390792a8c63 | Callback for a view changed event. When the view changes, the geometries must be reviewed to determine which ones are onscreen. | [
{
"docid": "119e926cf19c714f45a4037fa942145f",
"score": "0.68656194",
"text": "protected abstract void handleViewChanged(Viewer view, ViewChangeType type);",
"title": ""
}
] | [
{
"docid": "b707b7f5854270a128fe334357c4c40a",
"score": "0.6275418",
"text": "public void changedUpdate(DocumentEvent paramDocumentEvent, Shape paramShape, ViewFactory paramViewFactory) {\n/* 506 */ updateChildren(paramDocumentEvent, paramShape);\n/* */ }",
"title": ""
},
{
"docid"... |
3ab1fbdbea52b655dfe33e119b64dc94 | Returns the result of interpreting the object as an instance of 'Interface RPC'. This implementation returns null; returning a nonnull result will terminate the switch. | [
{
"docid": "60999a782c01b048961bc9451b708512",
"score": "0.78101945",
"text": "public T caseInterface_RPC(Interface_RPC object) {\n\t\treturn null;\n\t}",
"title": ""
}
] | [
{
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9a334e14f4aca8928ed6dffa080041aa | Updates the timer with the time that has elapsed since the last update. | [
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"text": "public boolean update(float timeElapsed) {\n \t\tboolean timeReached = false;\n \t\tif (isRunning) {\n \t\t\tthis.timeElapsed += timeElapsed;\n \t\t\tif (this.timeElapsed >= totalTime) {\n \t\t\t\ttimeReached = true;\n \t\t\t\truns ... | [
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"text": "protected void updateTimer() {\n long currentTime = System.nanoTime();\n float deltaTime = (currentTime - lastMark) * MUL_TO_SECONDS;\n lastMark = currentTime;\n\n if (!isPaused) currentInGameTime +=... |
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{
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{
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5ec72a42d70d4a56f24ba0366f21a404 | Calculates the weighted average of two values. | [
{
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"title": ""
}
] | [
{
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"text": "protected double angleAverage(double weight, double angle1, double angle2) {\n\t\t\n\t\t// Find the difference between the two angles (should always be less than pi/2) \n\t\tdouble diff = normalizeAngle(angle2 - angle1);\n\t\... |
cc80602bfbe14b9113d8c54b26c6ace9 | stop receiver thread by stopping the loop in the main logic | [
{
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"score": "0.7055499",
"text": "public void stop() {\n\t\tthis.done = true;//set thread's done as true\n\t}",
"title": ""
}
] | [
{
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"text": "public void stop() {\n runThread = false;\n }",
"title": ""
},
{
"docid": "e541b9e9aa3bb92db26e7d32d3962ca3",
"score": "0.7724761",
"text": "public void stop() {\n STOP_DAEMEN_THREAD = true... |
6dd81b6503c283400ceb4333cc3b2013 | Returns Universal Time in julian date | [
{
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"score": "0.65131617",
"text": "public double jd_ut1(){\r\n return TimeUtils.MJDtoJD(this.MJD_UT1);\r\n }",
"title": ""
}
] | [
{
"docid": "c22a750887a36e47f40ba2f6fbde074d",
"score": "0.65503013",
"text": "public double jd_tt(){\r\n return TimeUtils.MJDtoJD(this.MJD_TT);\r\n }",
"title": ""
},
{
"docid": "97a6e3ee9436f8e4536031333c99cda2",
"score": "0.65299547",
"text": "public long toJulianDay() {... |
92e57143db1d4076339f889d07592fe5 | This method is called once with the initial value and again whenever data at this location is updated. | [
{
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"score": "0.0",
"text": "@Override\n public void onDataChange(DataSnapshot dataSnapshot) {\n try{\n String value = dataSnapshot.getValue().toString();\n String petPhoto = dataSn... | [
{
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"score": "0.72435737",
"text": "void updateInitialValue();",
"title": ""
},
{
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"score": "0.64452493",
"text": "public void update() {\n\t\t/* Your Task */\n\t\tif (initialized) {\n\t\t\tlastPre... |
686c4c6ecabf79953cba2b3b1ffcfb71 | The method Returns the token which is the compact name of the header. | [
{
"docid": "59102d42dc8aca80d8d97d4df79685dc",
"score": "0.6331316",
"text": "public DsByteString getCompactToken() {\n return BS_ETAG;\n }",
"title": ""
}
] | [
{
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"score": "0.6900867",
"text": "String getTokenHeader(HttpServletRequest request);",
"title": ""
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{
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"score": "0.6815914",
"text": "String getHeader();",
"title": ""
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71ec67d10e070b7b7098cdc8d107475f | Test case number: 54 /Coverage entropy=1.0986122886681096 | [
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{
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"text": "@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation... |
b1b78d798bcbcf7f60c29c48105b22cb | An attempt to discover the command type and fire an event if necessary. | [
{
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"text": "void processSettingChanges(CLICommand cmd) {\n\t\tString operation = cmd.getOperation().trim();\n\t\tprocessSettingChanges(cmd.getToken(), operation);\n\t}",
"title": ""
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{
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fc55e6d38f33d2d53611503c461b354f | Returns a superclass of both c1 and c2. | [
{
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"text": "static AstClass getCommonSuperClass(AstClass c1, AstClass c2) {\n\t\tAstClass[] c1Super = getAllSuperClasses(c1);\n\t\tAstClass[] c2Super = getAllSuperClasses(c2);\n\t\tif (c1Super.length == 0 || c2Super.length == 0) return nul... | [
{
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"text": "@Override\n protected String getCommonSuperClass(String type1, String type2) {\n if (type1.startsWith(\"quorum/\") || type2.startsWith(\"quorum/\")) {\n return \"java/lang/Object\";\n } else {\n ... |
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{
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"title": ""
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] | [
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"title": ""
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{
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"score": "0.74454266",
"text": "public void decrease(int number) {\n this.co... |
3dfbf01c62fbccf1b2ef23d9d8f7a503 | Ends the command buffer. | [
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"score": "0.59478855",
"text": "public Collection<ChatMessage> end() {\n synchronized (bufferLock) {\n if (buffer != null && buffer.hasContent()) {\n try {\n return getChat().sendRawMessage(buffer.build())... | [
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{
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"score": "0.0",
"text": "@Override\n\t\tpublic void onStopTrackingTouch(SeekBar seekBar) {\n\t\t\t\t\n\t\t}",
"title": ""
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"title": ""
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{
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"score": "0.68683225",
"text": "@Override\r\n\tpublic void caminar() {\n\t\t\r\n... |
f5bc314d2aa4e92c01e87dc224716bbb | capture touch events to prevent them from going to the underlying WebView | [
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"title": ""
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"score": "0.6897048",
"text": "@Override\n public boolean onTouch(View v, MotionEvent event) {\n myWebView.loadUrl(\"https://facebook.com/\");\n return false;\n }",
"title": ""
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{
"docid": "8... |
7d2db7a33e430d60743cd6a96d6449d6 | This method implements the relation between Students and Assignments. For each Student inside the initial studentsArray, it creates a relation object of the class StudentAssignment. After this, it makes a concurrent search inside the relational object's lists of the classes StudentCourse and AssignmentCourse. If the Co... | [
{
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"score": "0.797823",
"text": "static void studentAssignments() {\n for (Student student : studentsArray) { // για κάθε μαθητή στην αρχική λίστα των μαθητών\n StudentAssignment sa = new StudentAssignment(stud... | [
{
"docid": "b98c996e7689e8811eb20b57471a1fc6",
"score": "0.5582467",
"text": "public static void addAssignmentToStudent(){\n ArrayList<Student> copiedStudents=new ArrayList<>(Student.getAllStudents());\n\n System.out.println(\"SELECT ASSIGNMENT:\");\n for(int i=0; i<Assig... |
019b35c48ce6c6c277929c455b2d2651 | Helper method to get cookie values. We use this for storing the clientKey and customerId, though these values should typically be put in a properties file. | [
{
"docid": "4fb093018fef531fe2b128cea204b507",
"score": "0.0",
"text": "private String getCookie(HttpServletRequest pRequest, String pName,\n String pDefault) {\n Cookie[] cookies = pRequest.getCookies();\n if (pRequest.getCookies() != null) {\n for (Cookie cookie : c... | [
{
"docid": "ebf56eda3d83fc91c6a283c8f5b690a9",
"score": "0.73105264",
"text": "public String getCookies() {\n return c.getCookie();\n }",
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{
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"score": "0.7062814",
"text": "private JSONObject getAuthCookie() {\n ... |
4bd85f9678cbaf74c889c196f1edf4b0 | Set user visible command names for OK and Cancel commands. If either parameter is null, then default value is used. | [
{
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"score": "0.6978025",
"text": "public void setCommands(String aOkText, String aCancelText)\n {\n iOkText = aOkText;\n iCancelText = aCancelText;\n }",
"title": ""
}
] | [
{
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"text": "protected void setDefaultCommand()\n {\n if (iOkText != null)\n {\n iOkCommand.setFocus();\n getShell().setDefaultButton(iOkCommand);\n }\n else\n {\n iCanc... |
aaef5fb033e505836e0fae112a988440 | 22. 23. 24. 25.NewmanConway Sequence recursive | [
{
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"score": "0.7662019",
"text": "private static int NewmanConwayRecursive(int n) {\r\n\t\tif (n == 1 || n == 2) {\r\n\t\t\treturn 1;\r\n\t\t}\r\n\t\treturn NewmanConwayRecursive(NewmanConwayRecursive(n - 1))\r\n\t\t\t\t+ NewmanConwayRecursive(n - NewmanConway... | [
{
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"text": "int loopingWay(int n){\n if (n <= 1) {\n return 1;\n }\n int[] noOfWays = new int[n+1];\n noOfWays[0]=1;\n noOfWays[1]=1;\n for (int i=2; i<=n ; i++) {\n noOfWay... |
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{
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"text": "public double similatiryAverage(String url){\n\n\t\tdouble sum=0;\n\t\tdouble size=0;\n\t\tfor(SimilarityArc arc : similarityList){\n\t\t\t\n\t\t\tif(arc.getFirstURL()==url || arc.getSecondURL()==url){\n\t\t\t\tsum+=arc.getSim... | [
{
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"score": "0.5804005",
"text": "private Double calculateMatchScore(String query, ConceptMap matchedMapping) {\n return 10000d;\n }",
"title": ""
},
{
"docid": "2210899937c11cc85e3c322b0a06a54c",
"score": "0.5802008",
"text": "pu... |
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{
"docid": "89ffa1d96e4f5994c3722cad0dfa5a4d",
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"text": "@Override\n @SuppressWarnings(\"unchecked\")\n public boolean equals(Object b) {\n if (!(b instanceof Ideal)) {\n logger.warn(\"equals no Ideal\");\n return false;\n }\n Ideal<... | [
{
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"score": "0.6665247",
"text": "public boolean eql(IRubyObject other) {\n return callMethod(getRuntime().getCurrentContext(), MethodIndex.EQL_P, \"eql?\", other).isTrue();\n }",
"title": ""
},
{
"docid": "bd3d0983d8db3f42bb3bb17f2c67c... |
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"text": "@Column(name = \"ID\", precision = 10)\n @GeneratedValue\n @Id\n public Integer getId() {\n return id;\n }",
"title": ""
}
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{
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{
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"text": "public void setId(String id){\n this.id = id;\n}",
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d54cdc95e6cd10a1aebdc7af50a5ede3 | Set the Weight value. | [
{
"docid": "91edf7d2cf5b03bff651b4f9095da280",
"score": "0.7189432",
"text": "public void setWeight(String newWeight) {\n\t\tthis.weight = newWeight;\n\t}",
"title": ""
}
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{
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},
{
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"text": "public void setWeight(int value) {... |
a84b61ae1a23a57fc3905c68e57ff927 | Creates a new catalog template subfield with the primary key. Does not add the catalog template subfield to the database. | [
{
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"score": "0.71813613",
"text": "public static com.kencana.lms.model.CatalogTemplateSubfield create(\n\t\tlong catalogTemplateSubfieldId) {\n\t\treturn getPersistence().create(catalogTemplateSubfieldId);\n\t}",
"title": ""
}
] | [
{
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"text": "public static com.kencana.lms.model.CatalogTemplateSubfield fetchByPrimaryKey(\n\t\tlong catalogTemplateSubfieldId)\n\t\tthrows com.liferay.portal.kernel.exception.SystemException {\n\t\treturn getPersistence().fetchByPrimary... |
8724cf0af667e7258844b329cb1744de | Returns true if the head of the snake collides with its body otherwise returns false. | [
{
"docid": "aea9a1a9036466bf04b6ba76e6cf6f3a",
"score": "0.7506425",
"text": "public boolean snakeCollision() {\n int headX = snakePoints.get(0).getX();\n int headY = snakePoints.get(0).getY();\n for (int i = 1; i < snakePoints.size(); i++) {\n if (snakePoints.get(i).getX... | [
{
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"score": "0.7085678",
"text": "public boolean collides(Vector2 vector) {\n return snake.contains(vector);\n }",
"title": ""
},
{
"docid": "48337e27e27a9380171abaa4c09fcc6d",
"score": "0.7075889",
"text": "public void checkColli... |
4deece4628004359c95b715512729e2e | The constructor will create the object with the passed parameters | [
{
"docid": "49af35b838b1f0835f40044d6cb92b38",
"score": "0.0",
"text": "public Appliance(String type, String brand, double price) { \n\t\tthis.type = type;\n\t\tthis.brand = brand;\n\t\tthis.serialNum = 1000000 + count;\n\t\tcount++;\n\t\tif(price < 1) {\n\t\t\tthis.price = 1; \n\t\t}\n\t\telse {\n\t\t\... | [
{
"docid": "3e7d52ec1edea8dceed7bb6dbabd9ef4",
"score": "0.70747817",
"text": "public Parameters() {\n\t\t\n\t}",
"title": ""
},
{
"docid": "384572cfaea31f9d1f408d3d66b9b86d",
"score": "0.70007414",
"text": "public Parameters() {\n }",
"title": ""
},
{
"docid": "e5670b... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "9db99cea5e201fbf50ae11dceb58d6a7",
"score": "0.0",
"text": "@Override\n public List<Integer> calCourseTypetz() {\n return courseCenterDao.calCourseTypetz();\n }",
"title": ""
}
] | [
{
"docid": "e5fa0eebc721dea67da872fd14413bc7",
"score": "0.69744676",
"text": "@Override\n\tpublic void formule() {\n\t\t\n\t}",
"title": ""
},
{
"docid": "8b7f87c22e268a87686c66398c2c442b",
"score": "0.6936331",
"text": "@Override\r\n\t\t\tpublic void atras() {\n\t\t\t\t\r\n\t\t\t}"... |
5d183676c1db42a3855283535ff857d0 | Returns true if the ATM is booting up for the first time. | [
{
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"score": "0.62883085",
"text": "public static boolean isFirstOn() {\n return firstOn;\n }",
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}
] | [
{
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"text": "boolean hasBoot();",
"title": ""
},
{
"docid": "7a9d51bf92d96d79cd22816546e945fc",
"score": "0.67410326",
"text": "public boolean isAutostart()\n {\n if ( smState== null ) {\n return (... |
36abbc8cccc968b6a08552f4844d3464 | Mutator for Node Color | [
{
"docid": "f34585f7d371cdb07dfb3da045484a9f",
"score": "0.0",
"text": "public void setColor(int color) {\r\n\t\tthis.color = color;\r\n\t}",
"title": ""
}
] | [
{
"docid": "39de6944e69d6b0e65664c26ad9788de",
"score": "0.7205135",
"text": "public abstract void setColor();",
"title": ""
},
{
"docid": "bb4e64990c207c74e67f769992d8bbdc",
"score": "0.7199272",
"text": "@Override\n\tpublic void updateColor() {\n\n\t}",
"title": ""
},
{
... |
4508a073e2eb20cf33b91e88eed7e653 | Test case number: 39 /Coverage entropy=2.453821178095602 | [
{
"docid": "2b6082ffdb7bd57d770debad9b9559ad",
"score": "0.0",
"text": "@Test(timeout = 4000)\n public void test039() throws Throwable {\n ErrorPage errorPage0 = new ErrorPage();\n Component component0 = errorPage0.strong();\n Hidden hidden0 = new Hidden(component0, \"G]]T(A5:v7)HnRtC>... | [
{
"docid": "7b86a76e9e9f3d6b2d46e9aa1a5ecf24",
"score": "0.6610834",
"text": "@Test(timeout = 4000)\n public void test05() throws Throwable {\n Evaluation.handleCostOption(\"\", 0);\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDir... |
2b290dec4a083ae80d71d71757984460 | this is for ScanDeviceCallback.onLeScan(), which returns the UUID reversed and shifted by a nibble | [
{
"docid": "6ecb8f0b0a7bfa11ba391f99e8c70e4c",
"score": "0.0",
"text": "public static byte[] reverse(byte[] byteArray) {\n\t\tbyte[] rev = new byte[byteArray.length];\n\t\tfor (int i = 0; i < byteArray.length; i++) {\n\t\t\trev[byteArray.length - (i + 1)] = byteArray[i];\n\t\t}\n\t\treturn rev;\n\t}",
... | [
{
"docid": "8f933202e41730e1fcac29812ee0e89f",
"score": "0.6492098",
"text": "java.lang.String getUuid();",
"title": ""
},
{
"docid": "8f933202e41730e1fcac29812ee0e89f",
"score": "0.6491556",
"text": "java.lang.String getUuid();",
"title": ""
},
{
"docid": "b82b0dcd942097... |
d7830e0129ed54acac67aa4f5767d072 | Operation auf einem Knoten, bevor die NAchkommen besuchr wurden. | [
{
"docid": "e889fd72fd2469c001743f212b8c5509",
"score": "0.0",
"text": "abstract protected void preOperation(N value);",
"title": ""
}
] | [
{
"docid": "b64e46aee409cbde3ab0418f034e0c29",
"score": "0.6046582",
"text": "LogicScrabble Negación();",
"title": ""
},
{
"docid": "010b5f18b92b8534f7014502ba87f8c8",
"score": "0.5896966",
"text": "@Override\n\tpublic void nonaktifKeluarga(String nkk) {\n\t\tmapper.nonaktifKeluarga(... |
25197b4cf814864ecd440f23b9149cb3 | TODO Autogenerated method stub | [
{
"docid": "2da8d3903f9ff4dfa52bb509b8499233",
"score": "0.0",
"text": "protected void moveTo_showDialog(final Long id) {\n\t\tLayoutInflater layoutInflater = LayoutInflater.from(context2);\n\t\tView view = layoutInflater.inflate(R.layout.movetodialog,\n\t\t\t\t(ViewGroup) context2.findViewById(R.id.mov... | [
{
"docid": "ffe5fe3cec40acf4b0b07ea257dfa06a",
"score": "0.6831473",
"text": "private void apparence()\r\n\t\t{\r\n\r\n\t\t}",
"title": ""
},
{
"docid": "838a915c9ea69d56cc37df198cff9cb2",
"score": "0.67589027",
"text": "@Override\n\t\t\t\tpublic void pintar() {\n\t\t\t\t\t\n\t\t\t\t... |
4081e6fe9d65ffc265ba4676e79d6899 | $ANTLR end "rule__XSynchronizedExpression__Group__3" $ANTLR start "rule__XSynchronizedExpression__Group__3__Impl" ../org.eclipse.xtext.idea.example.entities.ui/srcgen/org/eclipse/xtext/idea/example/entities/ui/contentassist/antlr/internal/InternalEntities.g:15568:1: rule__XSynchronizedExpression__Group__3__Impl : ( ( r... | [
{
"docid": "e61af8f3f317ef6a24daef1a0182d839",
"score": "0.8005705",
"text": "public final void rule__XSynchronizedExpression__Group__3__Impl() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.ent... | [
{
"docid": "1047040d7ff4750d45c1f992e612423c",
"score": "0.8164058",
"text": "public final void rule__XSynchronizedExpression__Group__3() throws RecognitionException {\n\n \t\tint stackSize = keepStackSize();\n \n try {\n // ../org.eclipse.xtext.idea.example.entities.... |
9d8a72cf87572f166f3811ceb34fa542 | Go to home page click login enter username, password click login in the dashboard page check title click logout | [
{
"docid": "6f4fbc199935819144b9e42827bf9ad2",
"score": "0.0",
"text": "public static void main(String args[]) throws InterruptedException {\n\t\t\tWebDriverManager.chromedriver().setup();\n\t\t\t\n\t\t\tChromeDriver driver = new ChromeDriver();\n\t\t\t\n\t\t\t//Home Page\n\t\t\t//Login Page\n\t\t\t//Da... | [
{
"docid": "ed9caae8a099b6c2fbeb17d325d2b387",
"score": "0.7512464",
"text": "@And(\"^Clicks on login link in home Page$\")\r\n public void Click_LogIn() throws Throwable {\r\n \thomePage.click_LogIn();\r\n }",
"title": ""
},
{
"docid": "e97877564d1e4825de4ca62b2b131588",
"score... |
6f676f417997118e36bb33f5d38e0301 | Sets the value of the 'pid' field. | [
{
"docid": "61cbf7b49facf1e0b9dfefdf45208521",
"score": "0.75051045",
"text": "public void setPid(java.lang.CharSequence value) {\n this.pid = value;\n }",
"title": ""
}
] | [
{
"docid": "2f9f01ed002c7dfe5747148e0c89e7de",
"score": "0.8292384",
"text": "public void setPid(int pid) {\n setAttribute(PID, pid);\n }",
"title": ""
},
{
"docid": "74b8759aed6d2eee6f0ba8827a7bf14d",
"score": "0.82349366",
"text": "public void setPid(Long pid) {\n\t\tthis... |
3b2d4c55b27dd59113993c7f81b4939f | Maakt het mogelijk om gebruiker in een parcel te steken | [
{
"docid": "2b3c486c7781dfb721dba9dcc77a8f81",
"score": "0.0",
"text": "@Override\n public void writeToParcel(Parcel dest, int flags) {\n dest.writeString(emailadres);\n dest.writeString(password);\n dest.writeString(telNr);\n dest.writeString(naam);\n dest.writeStr... | [
{
"docid": "c63ccb93d439636ca8e007621e0dcb03",
"score": "0.57342386",
"text": "public void starteVerarbeitung(String benName, String pw) {\n\t\tMain.debug.println(\"INVOKED (\"+this.hashCode()+\", T\"+this.getId()+\") \"+getClass()+\" (POP3Client), starteVerarbeitung(\"+benName+\",\"+pw+\")\");\n\t\tboo... |